Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.3081 (21a70e450d*) started at 2026-09-01T22:43:59.654 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 29.44s ################################################################################ # 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 To see why use `status --outdated -m` Installation completed after 3.94s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 4.2 s ✓ StaticArrayInterface 1.6 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.5 s ✓ LayoutPointers 1.1 s ✓ CloseOpenIntervals 16.0 s ✓ VectorizationBase 3.0 s ✓ StrideArraysCore 3.5 s ✓ SLEEFPirates 3.9 s ✓ VectorizedRNG 32.6 s ✓ LoopVectorization 3.7 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 37.3 s ✓ VectorizedStatistics 10.5 s ✓ QuasiNewtonMethods 11.3 s ✓ Octavian 12.0 s ✓ StrideArrays 14 dependencies successfully precompiled in 144 seconds. 56 already precompiled. Precompilation completed after 169.04s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_kGIHYh/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_kGIHYh/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 v1.11.4 [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 v10.47.0+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 v1.70.0+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 = [-1.1890839424211208e-9, -2.3889190625681067e-9] QuasiNewtonMethods.optimum(state) .- 1 = [1.7992274337075287e-12, 3.631983602758737e-12] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-2.507882790325766e-12, -4.945710507797685e-12, 5.961897642237091e-13] QuasiNewtonMethods.optimum(state) .- 1 = [4.5634607204192434e-12, 8.30313595656662e-12, -8.507639037702575e-13] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-7.915890165577366e-14, 1.3509193763638905e-12, -2.384759056894836e-13, 2.418065747633591e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.852385408568807e-12, -2.5286883698072415e-11, -1.0142442441463118e-11, -5.280276216268476e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-4.71556127479289e-11, -3.2610691924617186e-11, -1.0366130176464594e-10, -6.499301097306898e-11, -3.2635782964973714e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.0212054252510825e-11, -1.4945156223689082e-11, -3.9783953909022785e-11, -3.3835823032291046e-11, -4.738431869100168e-13] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-3.062461395586524e-11, -1.2740586363690909e-11, 1.1645129305293267e-11, -6.292188992063075e-11, -2.681710409291327e-11, 2.4629853712099248e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0518419468752427e-10, -6.732758794925076e-11, 5.807798686419119e-12, -2.082976013895177e-10, -1.341911026742082e-10, 8.192113654104105e-12] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [1.441662345058603e-10, -5.820421922209107e-11, -5.22917265044498e-11, 2.744044991231931e-10, -1.2861822717979976e-10, -1.0096601332776345e-10, -9.814371537686384e-14] QuasiNewtonMethods.optimum(state) .- 1 = [-6.943334796005729e-12, 2.5694779637319698e-11, 7.080336317244473e-12, -1.228162016531087e-11, 5.0275117402520664e-11, 1.319433451385521e-11, 1.27657884263499e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [1.4388046309932179e-11, -1.758637679927233e-11, -5.644640310720206e-11, 1.0741629807853315e-11, 2.6624924487350654e-11, -3.1519675758318044e-11, -1.059731191688229e-10, 2.3562707340829547e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-8.414935415146374e-12, 1.0240919223747369e-11, -6.09734485124136e-12, -2.353717221126317e-11, -1.6513235223669653e-11, 2.0846657733386564e-11, -1.2352008305072104e-11, -4.8527071250248355e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [7.564593396125474e-11, -1.1251888309971037e-10, -5.949196690835379e-11, 4.296030198247536e-11, 1.4551915228366852e-10, -2.2070312244437673e-10, -1.1587064641105371e-10, 8.595368861108454e-11, -6.27369267647282e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.325251516476783e-13, 3.5060843117662444e-13, -8.170131238216527e-13, 6.565636923028251e-12, 8.710809851208978e-13, 9.943157408542902e-13, -1.5222267890635521e-12, 1.3475665028295225e-11, 2.4225066397320916e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [1.2680523298058688e-11, -5.146993942162226e-13, -2.8443247757081735e-11, 8.407496920881385e-12, -1.8311796523562407e-11, 2.634226170528109e-11, -3.619882171790323e-12, -5.4101390034588803e-11, 1.7140511232582867e-11, -3.810984861019051e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.930566900261056e-11, -8.222067471308492e-11, -8.965683750972175e-11, 4.3900216795123015e-11, 3.8856695638855854e-11, 6.228395577068113e-11, -1.635970248159424e-10, -1.7431422971725397e-10, 9.768341691085425e-11, 8.166978204826592e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-4.975020395647789e-12, -1.6124990231958236e-11, 1.6787238266147142e-11, 6.288258802555902e-11, 9.810152690192808e-12, -1.0864420474376857e-11, -3.159972283839352e-11, 3.2045255338175593e-11, 1.311006858628616e-10, 1.8918422384217592e-11, -1.5458079261065905e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.639433116513601e-11, -3.020883543314312e-11, 6.7124084068836964e-12, 1.0469403122215226e-11, -1.3768763906796266e-11, -5.338762765205729e-11, -6.109746042426423e-11, 1.2457812559318882e-11, 1.997091381156224e-11, -2.7958968473740242e-11, 1.254552017826427e-13] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-4.659606034351782e-12, -1.8773760324108935e-11, -9.598777328534425e-11, 1.3113288233057574e-11, 7.316369732279782e-13, -9.064171635486673e-11, -1.1164291713328112e-11, -3.3748892569462896e-11, -1.7686208053646624e-10, 2.2427837365057712e-11, -7.266742763079037e-12, -1.8089763020867622e-10] QuasiNewtonMethods.optimum(state) .- 1 = [9.516387677876992e-12, -4.5244918922549004e-12, 4.005684672847565e-12, 5.588862705963038e-13, -6.378231276471524e-13, 5.190736729332457e-12, 1.880540168031075e-11, -8.856582134342261e-12, 6.135092434078615e-12, 8.686384944667225e-13, -1.831201856816733e-12, 1.0300427177867277e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [4.9148463077131055e-11, -4.041966761292315e-11, 6.326494883523992e-11, -6.626332815784508e-11, 3.870037623698863e-11, -1.3900658402121735e-11, 9.739031803235321e-11, -7.9975359668083e-11, 1.2297274309958084e-10, -1.3252698938259755e-10, 7.490918996211349e-11, -2.6431967725670802e-11, 2.7333690866271354e-13] QuasiNewtonMethods.optimum(state) .- 1 = [7.780309729810142e-11, -9.217737684252825e-12, 2.2711166280942052e-11, 9.234613074227127e-12, 1.0597900335085342e-10, -3.892375310954321e-11, 1.5176726542165397e-10, -2.139199928308244e-11, 4.4158454670650826e-11, 6.985967360151335e-12, 2.065607684897941e-10, -8.163203446542866e-11, 9.318990024098639e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-5.880074205322217e-11, 6.128475504851849e-11, -2.347322336504476e-11, -7.189826511933006e-11, 3.262679015847425e-11, 6.497025140106416e-13, -6.571332367144578e-11, -1.1834833113510967e-10, 1.221172052368047e-10, -4.8604342772762266e-11, -1.4423773286864616e-10, 6.467226754125477e-11, -3.319344799024293e-12, -1.3077083860224548e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-5.3042681358306254e-11, -3.705147300081535e-11, -8.200462531249286e-11, -1.474766975206876e-10, 3.1142866063760266e-11, 4.8760551152327025e-11, -7.941880486583841e-11, -1.0442169351421171e-10, -8.122147399092228e-11, -1.682891603849157e-10, -2.870816917521779e-10, 5.863820540241704e-11, 9.739031803235321e-11, -1.5588896840057487e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-1.324856890860815e-10, -1.4951062610180088e-10, 5.3891335838329724e-11, -6.280853614981652e-11, -1.0809031447678308e-10, 7.252110023614478e-11, -1.4820755733779833e-10, -2.590165859572835e-10, -3.1131608402290567e-10, 1.0401435268647674e-10, -1.2991618891788903e-10, -2.2438262359258943e-10, 1.3816991994985983e-10, -3.0086477753599183e-10, 3.023359340659226e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-8.464728917800812e-11, -2.514322083868592e-11, 7.097256116139761e-11, -1.1644130104571104e-10, -1.6550316672692134e-11, 3.20896642591606e-11, 1.7167822718988646e-11, -1.737104904364628e-10, -4.8508974614946965e-11, 1.3931811260192717e-10, -2.3269253190960626e-10, -4.040245915604146e-11, 7.771738808060036e-11, 3.7316594259095837e-11, 9.42801392511683e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [1.0879919187800624e-10, 1.169988550486778e-10, -2.1215784684613936e-10, -1.2500800394832368e-10, 5.5566662382489085e-12, -3.015120375593483e-10, 3.9043879240807655e-11, 3.601252629437113e-11, 2.1952506479294698e-10, 2.3411872440703974e-10, -4.02358812934267e-10, -2.567297485711606e-10, 9.454215188497983e-12, -5.878508790857495e-10, 8.001355134013011e-11, 5.5500049001011575e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.723776759694374e-11, -2.0762280783515052e-12, 2.6583846235439523e-11, 3.170663731566492e-11, 4.18403089952335e-11, -2.524558340155636e-11, -1.4666046155298318e-12, 7.921530098542462e-11, 5.0043968968793706e-11, -6.226019699795415e-12, 4.660938301981332e-11, 6.46867004405749e-11, 7.719491712521176e-11, -4.161926359103063e-11, -4.051980972974434e-12, 1.5064949288046137e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-7.87157006243433e-11, 3.945843651820269e-11, 4.172440171146263e-12, 1.0754375168176011e-10, 1.7762236126372954e-11, -5.294764626739834e-12, 3.1868285788050343e-11, 1.7606360813715582e-10, -1.5620527094029057e-10, 8.085843106186985e-11, 9.557687974393048e-12, 2.1395107907551392e-10, 3.658118252758413e-11, -8.73867644912707e-12, 6.421618792273875e-11, 3.657816272095715e-10, 6.3513638792755955e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.761590873172736e-11, 7.240652522000346e-12, -2.0325541250088008e-10, 2.668962828522581e-10, -7.849276784099857e-14, -2.9904534404323613e-10, -7.166844895323266e-11, 2.627831285906268e-11, -4.116385010632939e-11, 1.6049161999376338e-11, -4.058193781020236e-10, 5.288456339513914e-10, -1.996292020578494e-12, -6.099712956952885e-10, -1.2822287676073074e-10, 5.073474973471548e-11, 1.273359195863577e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-8.185174760200198e-11, 1.6288304038880597e-11, -6.998956969539449e-12, 1.662914250744052e-11, -1.2369327784256257e-11, -1.6646573008927135e-11, -4.520273044761325e-12, -3.481892552059662e-11, 6.288236598095409e-11, -1.6698042948348757e-10, 3.513433988189263e-11, -1.6329715357699115e-11, 3.4853453456662464e-11, -2.6224689086973285e-11, -3.238043166930993e-11, -7.918443678534004e-12, -7.438316629304609e-11, 1.2563661222486644e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5427237265441818e-10, -6.646905248430812e-13, 8.245049087918233e-11, -4.2219672202747915e-11, 2.366307150225566e-11, 1.5595658098277454e-10, -1.3750023342140594e-10, 6.906519800509159e-11, -2.075073446405895e-10, -3.169695617089019e-10, -1.9638846104896857e-11, 1.7639534277691382e-10, -7.909828347862913e-11, 5.5384807851055484e-11, 3.0991897936871737e-10, -2.8132074447739797e-10, 1.320221709733005e-10, -4.373948980784803e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [1.500555235622869e-11, 6.945111152845129e-11, 2.999378523327323e-11, -1.7955403830427485e-10, -1.0485612378374753e-11, 2.839439794399823e-11, -4.111433415943111e-11, 2.6432855904090502e-11, -1.5287660026785943e-11, 3.036504381270788e-11, 1.4719758745229683e-10, 5.944222891685058e-11, -3.6168212869114313e-10, -1.5741075110042857e-11, 5.992006890664925e-11, -8.312306398750025e-11, 5.534128710849018e-11, -2.365063700437986e-11, -3.034683615510403e-12] QuasiNewtonMethods.optimum(state) .- 1 = [8.681610985661337e-11, 2.617344119215659e-10, -5.299216621068581e-11, 7.932809964472654e-11, 1.787459069646502e-10, -1.4859868890937378e-10, 2.2516100095515412e-10, 5.40756328604175e-11, 1.0074097112067193e-10, 1.6554779769251127e-10, 5.256644008966305e-10, -9.989253868525338e-11, 1.531468285520532e-10, 3.4192315645498184e-10, -2.955750089128628e-10, 4.3729286858251726e-10, 9.05659991445873e-11, 2.1155810436823685e-10, 7.860179174201676e-11] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-1.9629453618108528e-10, -8.737499612720967e-11, -1.2293907003524396e-9, -5.298950167542671e-11, 1.0249778803483878e-10, -1.4236289924696166e-10, 5.561617832938737e-11, 6.871370139549526e-11, 1.134923266477017e-10, 1.5349121973429192e-10, -3.810849413810047e-10, -1.8221490982739397e-10, -2.4693523892338476e-9, -1.1051781712012598e-10, 2.2107471409071877e-10, -2.892174277846493e-10, 9.261436062502071e-11, 1.3526668674046505e-10, 2.3049162578558935e-10, 3.0344682322436256e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3972989432176064e-10, -4.298994493723285e-11, -7.454381556470935e-11, -1.637445734559151e-10, -4.946254517079751e-11, -2.2741020178074223e-10, 2.719136027451441e-11, -8.149814156865887e-11, -7.011724534322639e-12, -3.723454877757604e-11, -2.941242804865851e-10, -8.206380019970538e-11, -1.4984313789767612e-10, -3.3356239992343717e-10, -1.1396450450007478e-10, -4.658967656112623e-10, 5.113420797897561e-11, -1.6158097082552558e-10, -1.603117638637741e-11, -8.217704294821715e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-5.642042388842583e-12, 2.7571278593541138e-12, 5.759837051755312e-13, 3.570010953524161e-11, -5.248612655606166e-11, 8.61422044806659e-12, -1.1715961534264352e-11, 1.472488797560345e-11, 1.5246248707967425e-11, -5.410094594537895e-11, -9.902856312749009e-12, 5.078826248450241e-12, 2.079225680517993e-12, 7.022071812912145e-11, -9.782619159182104e-11, 1.774091984430015e-11, -2.490052608550286e-11, 3.027444961389847e-11, 3.3228086948611235e-11, -1.0727452259828851e-10, 1.8562928971732617e-13] QuasiNewtonMethods.optimum(state) .- 1 = [3.655675762104238e-11, 2.4166668666225632e-11, -2.501032714263829e-11, -2.0287105328975485e-11, 9.744649531739924e-12, -2.9817925906172604e-11, -2.4642510254579975e-12, 5.982081496824776e-11, 1.8033574633591343e-11, 2.8659519202278716e-11, 6.887712622472009e-11, 4.91178209216514e-11, -5.130107449957677e-11, -4.104827588946591e-11, 1.871613974913089e-11, -6.773803740145468e-11, -2.0730084315800923e-12, 1.271531768765044e-10, 3.7365888161389194e-11, 5.7913229767336816e-11, -2.589928271845565e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-3.8609970776093405e-10, -3.682703031415713e-10, -2.736133541958452e-11, 9.800931177750272e-10, -5.164868532858691e-11, -3.099757117652757e-10, 1.0551115536827638e-11, 3.0506930315254976e-10, -9.52283696342704e-10, 1.3884182692436298e-10, 1.8276136160011447e-10, -7.493426990023977e-10, -7.398691659332712e-10, -5.099731748003933e-11, 1.958451845140985e-9, -9.701306424858558e-11, -6.08376349298112e-10, 1.1577627745396057e-11, 6.270490793269801e-10, -1.9059300804258328e-9, 2.8397373341704224e-10, 3.5957947730480555e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.4115597579689165e-11, -1.026212448351771e-11, 1.2902345858378794e-11, 3.7933434171577574e-11, 1.5615286841352827e-11, 4.6000980802318736e-11, 2.486166827964098e-11, -6.366818183778378e-11, 4.60875781982395e-12, 5.1308290949236834e-11, -2.621347583442457e-12, 3.133249215636624e-11, -2.2132740085112346e-11, 2.894617878723693e-11, 7.063194473744261e-11, 3.153499683605787e-11, 8.84308182236282e-11, 4.937206199429056e-11, -1.3528766995563046e-10, 1.3963052936105669e-11, 1.0413447881774118e-10, -8.386735750320895e-12] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [3.051470187642735e-11, 5.44375655664453e-11, -9.005463041944495e-12, -2.1949997375259045e-11, 1.216515777002769e-11, 4.993117030949179e-11, 1.91491267287347e-12, 5.935030245041162e-11, -7.717637640070052e-11, -2.834055212730391e-11, 1.1237943908781745e-10, 6.478617642358131e-11, 1.1038103764349216e-10, -1.5819012766371543e-11, -4.161049282913609e-11, 2.1796342508650923e-11, 1.0857514887163688e-10, -2.7853275241795927e-12, 1.1798695354059419e-10, -1.5426149246877685e-10, -6.184508460904681e-11, 2.299234136415862e-10, 2.8184121703134224e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.952382699954569e-11, -5.400713209979813e-11, -6.181721801112872e-13, 9.520206845081702e-11, 2.2279733613572716e-11, -3.483213717458966e-12, 2.1316282072803006e-14, -1.1504242003468335e-11, 1.0993206345233375e-11, -6.420530773709743e-12, 1.712918695773169e-11, -3.7056135937518775e-11, -1.126713167209914e-10, -2.0086154961518332e-12, 2.0160606517549695e-10, 4.528621921906506e-11, -6.434408561517557e-12, -1.5829559885105482e-12, -2.325084569321234e-11, 2.085887018665744e-11, -1.649724801211505e-11, 3.5861091873812256e-11, 4.782174656270399e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-5.918654455427941e-11, 1.9300783193898496e-11, -9.690026558928366e-13, 8.038258947351551e-11, 1.0630296642943904e-10, -9.775369402831302e-11, -1.9878987345123278e-11, 1.2822720663052678e-10, 7.848743877048037e-11, -1.8649803923409536e-10, -1.872161314864229e-10, -2.8384850025986452e-11, -1.1713030545479342e-10, 3.570010953524161e-11, -6.228462190449591e-12, 1.5207568537789484e-10, 2.0515900089890238e-10, -1.8946377799977654e-10, -4.933897734815673e-11, 2.491160611128862e-10, 1.4848211549178814e-10, -3.8061553908619317e-10, -3.832342221343765e-10, -6.580902489616847e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3336332038704768e-11, -2.3370194668359545e-11, 2.458011572059604e-11, -1.4659162772545642e-11, 1.7004397889763823e-11, 3.821565286443729e-11, 1.7353452008705972e-11, -7.754241693191943e-12, 1.0163869745838383e-11, -3.255262726042929e-11, 5.913425304981956e-11, 1.7877477276329046e-11, -2.6796120877747853e-11, -5.263378621833681e-11, 4.8698378662948016e-11, -3.069478005102155e-11, 3.608757737083579e-11, 7.82092168805093e-11, 3.641908996598886e-11, -1.237165925260797e-11, 2.1099566538396175e-11, -6.493938720097958e-11, 1.1917267173089385e-10, 3.3364422336035204e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m43.5s Method ambiguity | 1 1 10.3s Unbound type parameters | 1 1 0.2s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.3s Stale dependencies | 1 1 6.1s Compat bounds | 3 1 4 19.5s 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 18.9s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.4s Persistent tasks | 1 1 1m21.4s RNG of the outermost testset: Random.Xoshiro(0xd2cd266ecd280de7, 0x72b56c786053eb8b, 0xdf3793e6db708881, 0x4e76892ea3249b70, 0xac410fa0ad56bb1d) 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 282.53s 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:3283 [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 589.93s: package has test failures