Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2058 (afc71c255e*) started at 2026-04-19T17:57:05.987 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.16s ################################################################################ # 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 v4.5.2 [4fba245c] + ArrayInterface v7.24.0 [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 To see why use `status --outdated -m` Installation completed after 4.82s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 6.4 s ✓ StaticArrayInterface 1.6 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.6 s ✓ CloseOpenIntervals 1.8 s ✓ LayoutPointers 15.7 s ✓ VectorizationBase 2.4 s ✓ StrideArraysCore 3.7 s ✓ SLEEFPirates 4.5 s ✓ VectorizedRNG 39.8 s ✓ LoopVectorization 4.4 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 44.5 s ✓ VectorizedStatistics 13.7 s ✓ QuasiNewtonMethods 15.2 s ✓ Octavian 16.5 s ✓ StrideArrays 14 dependencies successfully precompiled in 173 seconds. 57 already precompiled. Precompilation completed after 197.02s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_HBA74r/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_HBA74r/Manifest.toml` [79e6a3ab] Adapt v4.5.2 [4c88cf16] Aqua v0.8.14 [4fba245c] ArrayInterface v7.24.0 [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 v8.19.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2026.3.19 [4536629a] OpenBLAS_jll v0.3.30+0 [458c3c95] OpenSSL_jll v3.5.6+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 v1.68.1+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/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:784 [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] get_testset() @ Test /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/MCcFg/src/deps_compat.jl:45 n = 2 QuasiNewtonMethods.optimum(state) .- 1 = [6.910028105266974e-12, 1.3501644247071454e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.85926854310037e-11, -8.891898328755587e-11] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5492940264039134e-11, -2.9727442729665654e-11, -2.792597264544838e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.2008172234345693e-12, 2.5082158572331537e-12, 7.673417456999232e-12] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-1.7145174169286292e-11, -2.9047875216292596e-12, -3.381628310705764e-11, -5.259459534556754e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.825362249187947e-11, -2.32225350060844e-11, -8.103662185732219e-11, -4.8623660653390743e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-3.3605340732378863e-12, -3.186673147581587e-12, -6.6204819404447335e-12, -6.622591364191521e-12, 1.212363542890671e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3570145007690826e-11, -2.2501223106985435e-11, -2.767996942765194e-11, -4.6238790574193445e-11, -7.358891274122925e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-3.386257940718451e-11, 4.2663206301085665e-11, -3.0218272328852436e-11, -5.906519717768788e-11, 8.466671808093906e-11, -6.289946341553332e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5097478822667654e-11, 6.1881610946556975e-12, -1.3349765737302732e-11, -3.060363074069983e-11, 1.4342305121317622e-11, -2.6741164838028908e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-2.8313906774712905e-11, 3.360267619711976e-11, -2.178035529709632e-11, -5.604083863630649e-11, 6.585021417038206e-11, -4.267741715580087e-11, -2.7017277304253184e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.731459668505522e-11, 1.846565123031496e-10, -1.2830281281850375e-10, 8.696110498362941e-11, 3.6562486371849445e-10, -2.6885771386986335e-10, -1.532439730667079e-10] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-1.9869661471716427e-11, -8.472889057031807e-12, 7.128586609894683e-11, 6.829026233390323e-11, -4.145861431936737e-11, -2.2219226458730645e-11, 1.4966627936985333e-10, 1.330229260076976e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.8542789526065917e-10, 1.7751866643322955e-10, -4.540001707908914e-11, -2.594975345715511e-10, 3.7821124010406493e-10, 3.561317907241346e-10, -9.440404014071646e-11, -5.234263023012886e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-5.1862625305432175e-11, 5.631362043345689e-11, 2.226574480346244e-11, -6.993383649955831e-11, -9.752043617083928e-11, 1.0178990983433778e-10, 4.8040904587765e-11, -1.4524059732679007e-10, 2.602584814326292e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.4999116372300705e-11, -7.154943304499284e-12, 2.1137536165838355e-11, -5.315636819602787e-12, -1.1405798527874822e-10, -1.5624612714759678e-11, 4.09399181222625e-11, -1.4691581284864696e-11, -2.6278978992877455e-13] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [4.853739632437737e-11, 4.031597278242316e-11, 9.398259948056875e-12, 1.7048584766143904e-12, -1.8675838653336996e-11, 1.0599898736529667e-10, 8.698131104267759e-11, 1.2493339696106887e-11, 4.434674849562725e-12, -3.255529179568839e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0739131806047908e-10, 1.5612622306093726e-11, 1.4380496793364728e-11, 1.19495080497245e-10, 3.473110687934877e-11, -2.0376555998069534e-10, 3.3294700330088745e-11, 2.6183055723549842e-11, 2.3607849009010806e-10, 7.074163477227557e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2582357378221332e-10, -4.1836645259252236e-11, -1.5305978706692258e-11, 6.270961527832242e-11, 3.230771206119698e-11, -2.5836932593392703e-10, -8.539002838148235e-11, -2.8380076066980564e-11, 1.2030709761745584e-10, 4.741562698029611e-11, 2.0230928043929453e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.6931789303953337e-11, 2.945488297712018e-11, 1.0445422304883323e-11, -7.899325638049959e-11, 5.477351905369687e-11, 3.2619906775721574e-11, 6.413314324049679e-11, 1.658673198789984e-11, -1.5619228133090246e-10, 1.1358403106953574e-10, 2.5781599077845385e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-9.613931872820558e-11, -1.1964695900701372e-10, 4.773959005888173e-14, -1.8446377758607468e-10, 2.8946400831841856e-11, 1.7520540573912058e-10, -1.935989146772954e-10, -2.331770332375527e-10, -5.189182417097982e-13, -3.719050623018916e-10, 4.77020645206494e-11, 3.3987168635007947e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.694156092137746e-12, 2.249178621127612e-11, -2.4390045538780214e-11, -2.497857476413401e-11, 1.677213923301224e-11, 1.3508305585219205e-11, 6.566969190657801e-12, 4.3513637137948535e-11, -4.9727666429078e-11, -5.050182494414912e-11, 3.2977398589650875e-11, 2.4201973758408712e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [1.0063283539807344e-11, 6.1735061507306455e-12, -2.591560299691764e-11, -1.25054411270753e-11, -1.0809908523867762e-11, -1.0824563467792814e-11, 1.605404698068469e-11, 1.202349331208552e-11, -5.0123794004264255e-11, -2.527611453473355e-11, -2.1314061626753755e-11, -2.004374444197765e-11, -3.77686770747232e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.89853696600062e-11, 2.2186030790294353e-11, 5.838440841898773e-12, 2.4269253273700997e-11, 5.646993983532411e-11, -1.474687039149103e-11, -5.915967715708348e-11, 4.3148151718241934e-11, 1.4898082767444976e-11, 4.7668757829910646e-11, 1.1847633984984896e-10, -2.8061997170425457e-11, -1.6587842210924464e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [3.597544484534865e-11, 1.247686398642145e-10, -5.135136760259229e-11, -1.2952816597078254e-10, 6.98627822259823e-11, 1.4747736365450237e-10, 4.7662540580972745e-11, 7.12732095564661e-11, 2.5377078216592963e-10, -8.919454064226784e-11, -2.63389754451282e-10, 1.5868439895427855e-10, 3.065263598500678e-10, 8.234879445012666e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.2079227335325413e-11, -6.272116159777852e-11, 3.561595462997502e-13, 7.207789920471441e-11, 4.5632830847353034e-11, 5.065214914168337e-11, 5.665024005452324e-12, 5.133493630182784e-11, -1.3038858881486703e-10, -5.45830047826712e-12, 1.443960506719577e-10, 8.992495637016873e-11, 1.0665157645917134e-10, 8.125500272626596e-12] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-2.4577728741093097e-10, -1.7453227751929035e-10, 8.144174223900791e-11, 1.1980860747939914e-11, 2.360689421720963e-11, -6.006140029768403e-11, -8.935274742327692e-11, -4.991368429685394e-10, -3.5255609542872435e-10, 1.6550805170822969e-10, 1.9968027231698215e-11, 5.947886627666321e-11, -1.2857226394658028e-10, -1.7478762881495413e-10, 1.787459069646502e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.370228540688913e-10, 4.016640353654566e-10, 3.8160230531048e-10, 1.956657058599376e-11, 3.324815978089646e-10, -3.117238689398505e-10, 1.7276224895113046e-10, 6.876244018627631e-10, 8.278986385334974e-10, 7.784555222656309e-10, 3.892153266349396e-11, 6.604392588371866e-10, -6.16899198391252e-10, 3.4860558884020065e-10, -3.257827341229813e-11] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [6.830624954545783e-11, 7.300449134106657e-11, 5.726545904138902e-10, 1.3304912727107876e-11, -1.6849188710921226e-10, 2.703037793594376e-11, 1.8308954352619367e-10, -9.140999068790734e-11, 1.3287637656844709e-10, 1.4497092415410862e-10, 1.1657510512463887e-9, 3.005995452554089e-11, -3.289237771042508e-10, 6.376432715171632e-11, 3.5488145755380174e-10, -1.8443924165723047e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3706813462022183e-12, 1.0152811924513117e-10, 5.88364912346151e-11, -2.6783020246057276e-12, 1.0331646649319737e-10, -1.8320900352364333e-11, 1.6525492085861515e-10, -6.8827166188611955e-12, -7.41207095700247e-12, 1.9206303214502896e-10, 1.1337841776537516e-10, -1.005517891172758e-11, 1.9519497129749652e-10, -3.401046111406458e-11, 3.31464411473803e-10, -1.2671086402349374e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [1.1617773409966503e-10, 1.2178968944454027e-10, 1.9763812808548664e-10, -5.003775171985581e-13, -8.18688450365812e-11, -5.4615534317292713e-11, -3.155697925194545e-12, 1.2316081487995234e-10, 2.3164292706212564e-10, 2.3747026567377816e-10, 3.887619115516827e-10, 3.5982328228101323e-12, -1.6702605964979966e-10, -1.069138111375878e-10, -6.697309373748794e-12, 2.3082580291600152e-10, -2.0902835018432597e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.4106151236557025e-10, -1.4968359884903748e-11, 3.7349678905229666e-10, -8.835709941479308e-11, 5.21323650914951e-10, -7.329292728286418e-11, 4.5566217465875525e-11, -1.5768175654073957e-10, -6.840884525516344e-10, -3.22688542553351e-11, 7.320712924752115e-10, -1.8690116121433675e-10, 1.0298961683474772e-9, -1.3050260871949604e-10, 9.269296441516417e-11, -3.2279323658457315e-10, 6.959988141375106e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [7.507394705896786e-11, -3.0327296229870626e-11, 1.0097189750979396e-10, -3.610534093922979e-11, -2.851141545079372e-11, 2.4617863303433296e-11, 5.0950799135307534e-11, 3.851186036740728e-11, -3.2134406247052993e-11, 1.506301749998329e-10, -5.897349275585384e-11, 1.9746937418574362e-10, -7.204770113844461e-11, -6.912348471388441e-11, 5.035660777252815e-11, 1.0689804597063812e-10, 7.863887319103924e-11, -6.072342628726801e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-8.742917501081138e-11, 3.2596148002994596e-13, -1.0384093585003029e-10, 1.0743850253902565e-11, 5.329070518200751e-15, -9.124256905579387e-12, 1.1685119538640265e-10, -1.0930878424630919e-10, 1.61428648226547e-11, -1.7689549824950745e-10, -1.4570677997483017e-11, -2.0337731498898393e-10, 2.9333424578226186e-11, -1.3379297669757761e-12, -3.175337770500164e-11, 2.340563298730558e-10, -2.1781743075877102e-10, 3.307731866186714e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [2.318101266496342e-11, -5.838551864201236e-11, -1.7715162670128848e-11, 1.1918444009495488e-10, 2.227418249844959e-11, 9.663159161732437e-12, 1.8366352882992487e-10, 2.542930310767133e-10, 8.204326107374982e-12, 3.8194336582364485e-11, -1.2207290733812215e-10, -3.143663107607608e-11, 2.2593948934002128e-10, 3.855693542220706e-11, 1.6360024446271382e-11, 3.6369462996788116e-10, 4.868683234349191e-10, 1.8395951428828994e-11, -3.77864406431172e-12] QuasiNewtonMethods.optimum(state) .- 1 = [7.085132480710854e-11, -1.221625023362094e-10, 1.6403078895166345e-10, -6.216105408185513e-11, -2.1080925893812719e-10, -1.4449730301180352e-10, 1.843991626060415e-11, 5.845013362204554e-11, -2.582245528515159e-11, 1.2838241580936938e-10, -2.5702195927124194e-10, 3.454196928487363e-10, -1.2489986822572519e-10, -4.2753833806585817e-10, -2.9259650258239844e-10, 4.6070258719055346e-11, 1.1520495668548847e-10, -5.4817816952379417e-11, -2.728373083016322e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8319235017827395e-11, 1.1676215549982771e-11, -5.704847705345628e-11, 2.4870772108442907e-11, -2.1224355606364043e-11, 1.9340307133575152e-11, -3.363120892885263e-11, 3.167044404506214e-11, -8.417710972707937e-13, -4.6416204213528545e-12, -3.551758886999323e-11, 2.3788970793248154e-11, -1.1222045515069112e-10, 4.842215517442128e-11, -4.1087244717630256e-11, 3.671507542435393e-11, -7.067058049869956e-11, 6.160583154724009e-11, -6.452394174516485e-12, -1.1799672350321089e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5935253117049797e-11, 4.399369757379645e-12, -3.646238866394924e-11, 1.3841372492606752e-11, 4.031908140689211e-11, -5.276534764675489e-11, -9.851786053616252e-12, 3.694822225952521e-12, -1.862177079203775e-12, 7.098766019453251e-12, -3.141720217314514e-11, 9.121370325715361e-12, -7.363909482194231e-11, 2.724043213220284e-11, 7.868883322714737e-11, -1.0616496570747813e-10, -1.935207549763618e-11, 9.164002889860967e-12, -3.8858916084905104e-12, 1.5005774400833616e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [1.15212284157451e-11, -3.160827155568313e-11, 1.7079671010833408e-11, -7.261380385870098e-11, 4.205524817280093e-13, 8.038925081166326e-11, 3.998024133977651e-11, -1.2031842189230701e-10, 1.0771161740308344e-11, -3.043987284456762e-11, 1.9877433032888803e-11, -5.7419735632890934e-11, 3.316080743331895e-11, -1.3422796207862575e-10, 6.81010803305071e-13, 1.618338796305352e-10, 8.726996902908013e-11, -2.5024349259439305e-10, 1.3071765891936593e-11, -6.751343928357301e-11, -4.371281114856629e-12] QuasiNewtonMethods.optimum(state) .- 1 = [8.747935709152443e-11, 4.1038283882244286e-11, -2.130184917348288e-11, -1.251939663049484e-10, 7.46005479612677e-11, -3.6977088058165464e-11, 8.13857869985668e-11, -4.5703441031719194e-12, 6.488587445119265e-11, 6.974198996090308e-11, 1.769673296792007e-10, 8.446043864296371e-11, -4.570444023244136e-11, -2.484061845109409e-10, 1.5415846377209164e-10, -6.355915793676559e-11, 1.70035763247256e-10, 4.574118861455645e-14, 1.3245227137304028e-10, 1.3313239399792565e-10, -6.994405055138486e-13] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [1.3623990824385146e-11, 4.061195824078823e-12, -2.5002222514558525e-13, -4.2933656629884354e-11, -1.200672894441368e-11, -2.2530310950230614e-11, 2.9152458225212285e-11, -1.183064757270813e-11, -9.626199837242666e-11, 1.4386047908487853e-11, 5.844991157744062e-11, 2.7414959191673915e-11, 8.01447797016408e-12, 3.5793590313915047e-13, -8.499401182859856e-11, -2.5338620091019948e-11, -4.579159273987443e-11, 5.830580462884427e-11, -2.384703545743605e-11, -1.9529733386036696e-10, 2.945088617423153e-11, 1.1708123359710498e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1787237852445287e-10, 1.0400569294688466e-11, -1.5371171002698247e-10, -4.61017890529547e-11, -1.7199908164400313e-11, 5.6632032396919385e-11, 3.7660319307519785e-11, 7.439182603263816e-11, -4.2020609214432625e-11, 8.163825171436656e-11, -1.1782896880419003e-10, -2.375500907092487e-10, 2.3182566977197894e-11, -3.0053060040557966e-10, -9.359524266727703e-11, -4.186806457084913e-11, 1.1391843024455284e-10, 7.854650263539042e-11, 1.5296297561917527e-10, -7.816980396313511e-11, 1.6902168553656338e-10, -2.4245061513994415e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2418022166116316e-10, 1.578581709793525e-11, 5.82980330676719e-11, 2.4940938203599217e-11, 2.912847740788038e-11, 7.357581210953867e-11, 2.754219075029596e-11, 3.377831347961546e-11, -1.9735102441131858e-11, -7.2269967787974565e-12, -1.1911582831203305e-12, -2.5103641387858033e-10, 3.100364409647227e-11, 1.1742318228868953e-10, 5.0888182556718675e-11, 6.046052547503677e-11, 1.5191781166379315e-10, 5.19351228689402e-11, 6.061484647545967e-11, -4.037237211207412e-11, -7.318368133724107e-12, 1.758593271006248e-13, 3.1674662892555716e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.0457947275408515e-10, -2.052957803755362e-11, 9.92610438288466e-11, -1.776068181413848e-11, -5.0823678598987954e-11, -1.0244038950446566e-10, -1.1357492724073381e-10, 4.29092317233426e-11, -9.173140025353632e-11, 6.354916592954396e-11, 4.579669976578771e-12, 6.094640347953373e-10, -4.095290773165061e-11, 1.9826251751453583e-10, -3.326405817460909e-11, -1.0273015771389282e-10, -2.0983548232322846e-10, -2.2855339842919875e-10, 8.515499416716921e-11, -1.8378143451514006e-10, 1.248023906441631e-10, 1.4178658247487874e-11, 3.128386438788766e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-5.8225646526466335e-12, 1.6648904477278847e-12, 5.082601006733967e-12, -7.48223705215878e-12, -1.194710996799131e-12, -7.616907105045811e-12, 1.6784351686283117e-12, 9.747758156208874e-12, -2.7635671528969397e-12, -1.998590182239468e-11, -3.1713520698417597e-11, 1.1976419855841414e-11, -1.1027623258996755e-11, 3.3217872896784684e-12, 9.672485035139289e-12, -1.534272708880735e-11, -1.8685053504441385e-12, -1.5309864487278446e-11, 5.384359624827084e-12, 1.999200804903012e-11, -6.558309451065725e-12, -4.0663028499920983e-11, -6.393330309606426e-11, 2.4112933871833775e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.3425705819590803e-12, 8.667289108643672e-12, -2.8801960816338124e-11, -2.225120088183985e-11, 7.361666831684488e-12, -7.675415858443557e-12, 3.0302427234119023e-12, 1.3730128145539311e-11, 6.973310817670608e-12, 2.0512036513764542e-11, 7.669864743320431e-12, 1.715960706860642e-12, -5.2983173404186346e-12, 1.7673196239798017e-11, -5.7712390422182125e-11, -4.4181769354167955e-11, 1.497202362088501e-11, -1.3171019830338082e-11, 4.880984505462038e-12, 2.313171876267006e-11, 1.1575407299346807e-11, 4.1480818779859874e-11, 1.478217548367411e-11, 3.9606096180477834e-12] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m14.7s Method ambiguity | 1 1 9.7s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 6.6s Compat bounds | 3 1 4 11.0s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.5s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 10.4s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 53.7s RNG of the outermost testset: Random.Xoshiro(0xcf976ee51afd93f2, 0x27ba6168bcf89b90, 0xe7d80ecbac20ecb4, 0x08d840082c8f0bec, 0x0be89d52e675599a) 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 276.47s 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:3162 [3] Cmd(cmd::Cmd) @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3025 [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] 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 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [7] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [8] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:326 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:352 [12] _start() @ Base ./client.jl:593 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 513.68s: package has test failures