Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.3141 (fbd24f51d0*) started at 2026-09-08T19:58:04.643 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.68s ################################################################################ # 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 To see why use `status --outdated -m` Installation completed after 4.03s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.0 s ✓ StaticArrayInterface 1.2 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.3 s ✓ LayoutPointers 1.0 s ✓ CloseOpenIntervals 18.0 s ✓ VectorizationBase 2.1 s ✓ StrideArraysCore 3.2 s ✓ SLEEFPirates 4.1 s ✓ VectorizedRNG 35.3 s ✓ LoopVectorization 4.2 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 42.1 s ✓ VectorizedStatistics 14.2 s ✓ QuasiNewtonMethods 13.1 s ✓ Octavian 14.7 s ✓ StrideArrays 14 dependencies successfully precompiled in 158 seconds. 56 already precompiled. Precompilation completed after 159.7s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_ANwuvl/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_ANwuvl/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 v8.22.0+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:789 [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:2252 [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 = [2.263478293684784e-11, 4.509059792212611e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.518163455533795e-11, 4.969447076064171e-11] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [1.820077422109989e-11, 3.67041952387126e-11, -1.2135759064335616e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.0268009492951933e-11, 3.8730130214048586e-11, -7.293055048762653e-13] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [9.736655925962623e-13, 1.3980150370684896e-11, 1.623590151211829e-12, 2.4787727426200945e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.9944046414366312e-11, 1.020872275603324e-11, 3.979216955940501e-11, 2.1936008565148768e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-2.4718005420254485e-12, 1.3103296225835948e-11, -5.998979091259571e-12, 2.6397550811907422e-11, -5.445643935786393e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-3.764232259229061e-10, 2.0947510392943514e-10, -7.515509325983771e-10, 4.0578962412496367e-10, 4.192548530568274e-10] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-4.47769599176695e-11, -1.8273715873817764e-11, -4.5331849385377154e-11, -1.0020217988682134e-10, -3.805367132514448e-11, -9.341161177900403e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.4706904844815654e-11, 3.888445121447148e-12, -9.634626429999571e-12, 8.836931186806396e-11, 7.65743024544463e-12, -1.791733428291309e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-5.058786722855757e-11, 2.7262281321327464e-10, -7.330069884403656e-11, -9.343603668554579e-11, 5.331264318897411e-10, -1.495570334242302e-10, -3.578848328800177e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.820288447225039e-11, -2.989719583013084e-12, 7.222666909001418e-12, -5.407330139206579e-11, -3.524736058579947e-12, 1.2988277120484781e-11, 6.061129376178087e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [9.112022247848017e-11, -2.7638114019623572e-11, 1.0361711488826586e-11, 6.438849453616058e-12, 1.837825447381647e-10, -5.7562288269252804e-11, 2.3162805007359566e-11, 9.635403586116809e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.9501511516750725e-11, 3.962008499058811e-11, -5.076583597940498e-11, 6.814548925149211e-13, 4.1140202355904876e-11, 7.702549709165396e-11, -1.0162370944755139e-10, 3.703481965544597e-12] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [6.530287421924186e-11, -6.580291866953303e-12, -1.7939205676498204e-11, 6.610623159986062e-11, 1.2735434928856648e-10, -2.4149238164739018e-11, -3.077538224260934e-11, 1.357611800756331e-10, -1.337485677765926e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2672973781491237e-11, 1.0653700144303002e-12, 2.8046454048080705e-12, -7.707945393065074e-12, -2.3297697104851522e-11, 2.176259172870232e-12, 5.567990513100085e-12, -1.563094098600004e-11, -1.868394328141676e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-3.4450220454118607e-13, -3.3397173915261646e-11, -2.432543055874703e-11, 6.31263930017667e-11, 4.21924717386446e-11, -2.0938806244430452e-13, -6.42782493898153e-11, -4.8642312400204446e-11, 1.1355871798457429e-10, 8.083467228914287e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.2949531164329073e-11, 8.609113422153314e-12, -8.9509510914354e-12, 1.2419176798061926e-11, -6.771705418628926e-11, -3.729028197341222e-11, 2.1866508603807233e-11, -7.590594819362195e-12, 2.4180879520940834e-11, -1.4552858917937783e-10] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2896095302750155e-10, 1.5761703053840392e-10, -2.36174968470948e-10, -5.090428079057574e-11, 2.7887692155559307e-11, -2.5996571562103554e-10, 3.158484584986354e-10, -4.724493019025999e-10, -9.332834505215715e-11, 5.6139537463195666e-11, 6.858291712319442e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.8172353339073197e-11, 4.1944225870338414e-11, -4.641731443655317e-12, -1.476285760304563e-11, 8.924394556686366e-11, -5.762690324928599e-11, 8.774714288506402e-11, -1.388145154379572e-11, -4.234568251604287e-11, 1.8241053112433292e-10, -8.470668610982557e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-8.270273355037716e-12, 8.424372310855688e-13, -4.0520919952768963e-11, 4.145905840857722e-11, 3.948019688948534e-11, -2.212019456493408e-11, -1.481881284348674e-11, 1.2454481890245006e-12, -8.270251150577224e-11, 8.522182959325164e-11, 8.273182139362234e-11, -4.549061127789855e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.681899229945884e-11, 5.483169474018723e-12, 4.958389254738904e-11, -8.918088489906495e-12, -4.870115422050958e-11, 5.1736392947532295e-12, -7.450495775884747e-11, -4.241051954068098e-13, 1.0433520714059341e-10, -1.8125501100030306e-11, -1.0311884679481409e-10, 1.2190026765779294e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2437906260487352e-10, 2.3508239799241437e-10, 7.000844348681312e-12, 9.067857575928429e-11, -2.513579344665118e-10, -1.4141465776162931e-11, -2.526059361684929e-10, 4.737912284724644e-10, -9.030998171510873e-12, 1.8382362299007582e-10, -5.053828466827781e-10, -3.6817882076434216e-11, 7.967182469315048e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.459377560081748e-11, -1.0856759935506943e-11, 6.901901272726718e-11, 2.6360424953963957e-10, -7.919587208249368e-11, 3.807798520938377e-11, -1.4963008609925055e-10, -3.187572428231533e-11, 1.3258594222520514e-10, 5.441247452608877e-10, -1.636124569159847e-10, 7.944978008822545e-11, 5.946132475287413e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-2.4751645177900627e-11, -5.053035767588199e-11, -2.51687559682523e-13, 3.8111735989332374e-11, 1.492694856608523e-11, -8.17690359866674e-12, 2.2927659770743958e-11, -4.7782999779144575e-11, -9.745049212028789e-11, 8.739675649849232e-13, 7.195599671661057e-11, 3.0667912653825624e-11, -1.7888135417365447e-11, 4.511924167616144e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5518919482815363e-11, -1.2374834490458397e-10, -7.55284723652494e-13, -1.9838797271631847e-11, 4.351341509334361e-11, -3.688083172193046e-11, -5.2365334290982446e-11, -2.942990295906611e-11, -2.395822429335226e-10, 1.929345572193597e-12, -4.0727532457651705e-11, 8.735434597895164e-11, -7.385481115562698e-11, -1.049924591711715e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [1.4108936241541414e-11, 9.71711600072922e-12, -3.645672652652365e-11, 8.567146991822483e-12, 3.5776714923940744e-11, -1.663624793479812e-11, -2.0969226355305182e-11, 2.8646640615193064e-11, 1.8257395595355774e-11, -7.088429843093991e-11, 1.5991652446700755e-11, 6.711253774938086e-11, -3.177158536260549e-11, -4.324818281276066e-11, -8.333334022836425e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-8.48422443411323e-11, -3.768763079392556e-12, -3.465772113742105e-11, -5.6966098505029095e-11, 5.7987392665381776e-11, -2.7519009293541785e-10, 5.0996762368527015e-11, -1.879234545754116e-10, 9.825473767932635e-13, -7.190692485892214e-11, -1.0644074510679502e-10, 1.2299583573849304e-10, -5.500605526620461e-10, 9.550027435523134e-11, -2.5275337378616314e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-2.8696600651301196e-11, 3.446087859515501e-11, 6.758371640103178e-11, -4.501699013559346e-11, -5.4368398672011153e-11, -3.270916870690144e-11, -1.5984991108553004e-11, 1.3555490063765774e-10, -6.191502865959819e-11, 6.678657626935092e-11, 1.2797762849459104e-10, -1.0067247036005256e-10, -1.0761846969131739e-10, -6.613554148771073e-11, -3.000211190595792e-11, 2.6226021354602835e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.089106582696786e-11, -7.558953463160378e-12, -2.5383584123517267e-11, 1.3712364577145308e-11, -1.0284995077824988e-11, 2.2974289137778214e-11, 4.7808645931013416e-11, -4.2016279344636587e-11, 2.2879032002265376e-11, -1.8652079880610017e-11, -4.928946140125845e-11, 2.4012347665802736e-11, -2.0811907752715797e-11, 4.158273725352046e-11, 9.509326659440376e-11, -8.648270988231843e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [7.890532671694928e-11, 2.0687007662445467e-11, -2.8171243116048572e-11, -4.447986423627981e-11, -8.684053476315512e-11, -9.781619958459942e-12, 1.2505330104772838e-11, 1.869238097640391e-11, 1.4993895014470127e-10, 4.1092906855055844e-11, -6.767564286747074e-11, -8.750400404267111e-11, -1.8127999101835712e-10, -1.946065530944452e-11, 2.1553647755467864e-11, 4.022915334189747e-11, -3.018807426258263e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.822220648989742e-11, -4.708200496139625e-11, 2.5455859642420364e-11, -4.8741566338605935e-11, -1.5523271557071894e-10, 3.003219894992526e-11, 2.6507018802135462e-11, -2.071409710424632e-11, -1.528799309369333e-10, -9.284428781342058e-11, 5.643263634169671e-11, -9.147926860464395e-11, -3.1396552024887114e-10, 5.988387563604647e-11, 5.2599258282270966e-11, -4.144962151286791e-11, 9.358958052985145e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [1.0780110137886822e-10, 1.7710677369109362e-10, 1.2926992809525473e-11, -3.3113500830239673e-10, 1.207733912877984e-10, 2.9864755113351293e-10, -1.6013190773378483e-10, 2.3210322552813523e-11, 3.0100366643637244e-11, 2.14335882375849e-10, 3.4156388828421314e-10, 1.8777646104695123e-11, -6.594670365345223e-10, 2.208364602296342e-10, 5.882831999315385e-10, -2.993451042598849e-10, 3.624611721875226e-11, 6.472089530973335e-11] QuasiNewtonMethods.optimum(state) .- 1 = [9.973777359562064e-11, -3.4590119657451623e-10, 3.4841374230154543e-10, -1.441990971073892e-11, 5.451770146436274e-10, -4.811124831860525e-10, -1.3824486000402203e-10, 1.6842438554931505e-10, 2.1230506241920466e-10, 2.0862822580625107e-10, -7.067482155065363e-10, 7.074194563472247e-10, -2.104061369578858e-11, 1.1087502027606888e-9, -9.626150987429583e-10, -2.6552449128303124e-10, 3.492950373384929e-10, 4.2384140641615886e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [2.489031203367631e-11, -1.3048451208419465e-12, -6.684286457669941e-11, -6.276157371587487e-11, 1.2038992025509287e-10, -6.945533037594487e-11, -5.253897317203382e-11, -1.1183498571654127e-10, -4.606615089386423e-11, 5.276490355754504e-11, -1.207023370142224e-11, -1.3085288408376528e-10, -1.1799228261111239e-10, 2.370652563143949e-10, -1.3815426580521262e-10, -1.012303574299267e-10, -2.09232631220857e-10, -8.916967164651624e-11, -2.0782264797958305e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.7049032164968594e-11, 7.690559300499444e-11, -5.4726001508242916e-11, -1.3084089367509932e-11, 1.398168247845888e-10, -1.3248957486666768e-11, 4.015099364096386e-11, -2.592082104513338e-11, 1.0573097952715216e-11, -1.1296030777430133e-10, 1.5995982316496793e-10, -1.1481693373838198e-10, -1.6099233057786932e-11, 2.8401991869486665e-10, -3.7756575643754786e-11, 7.829537018722021e-11, -4.702760403318962e-11, 1.9628298986162918e-11, -1.831979012933971e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [3.260991476849995e-11, -6.145162156911965e-11, -1.795669168913605e-10, 4.624389760010672e-11, -8.800526973828937e-11, -7.033351678842337e-11, 6.803801966270839e-11, -8.766654069347624e-11, 1.064170973563705e-10, -1.0234080249915678e-10, 6.699174548430165e-11, -1.2076883937339744e-10, -3.814760729525801e-10, 1.0098366587385499e-10, -1.7358803283684665e-10, -1.4421919214413492e-10, 1.3256795661220622e-10, -1.7344548020048478e-10, 2.1056645316264166e-10, -1.9421808605812885e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.731004311584684e-10, 8.389666739105905e-11, -3.3000380206260616e-11, -7.545242208806258e-11, -1.0692036145343309e-10, 2.6270541297890304e-11, -7.193690088058702e-11, 3.2332136967738734e-11, 2.3554713735052246e-11, 4.021361021955272e-11, -5.652253110000061e-10, 1.7142198771580297e-10, -6.90906221123555e-11, -1.5520540408431316e-10, -2.1891333190637852e-10, 5.509370737399877e-11, -1.46326284422571e-10, 6.270206576175497e-11, 4.4474424143459146e-11, 8.467182510685234e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2175782604373353e-10, -1.7842172184145966e-11, 5.367106759024409e-11, 4.66491290040949e-11, 3.469624587637554e-11, -8.954392782811738e-11, -3.853362073868993e-11, -7.799572099287388e-11, -1.527378223897813e-11, -1.2060408227654307e-10, -2.4547130994534427e-10, -3.867328679518778e-11, 1.1405010269527338e-10, 9.119971444704333e-11, 6.750200398641937e-11, -1.684257178169446e-10, -7.766698395528238e-11, -1.6176004979939762e-10, -2.2916890607405094e-11, -2.3927437808879404e-10, 1.3715029112404409e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-6.231204441320415e-11, -3.955680227818448e-11, 1.9494961200905436e-10, -6.159683874074062e-11, -1.166404750563288e-10, -6.499245586155666e-13, 1.8587131833669446e-11, -1.7370493932133968e-10, 1.8139489910140583e-11, 9.519185439899047e-11, -1.2199097287890481e-10, -7.759481945868174e-11, 3.8930347834309487e-10, -1.2548584393812234e-10, -2.415568856051209e-10, -9.248157795127554e-13, 4.113109852710295e-11, -3.413203053526104e-10, 3.0638824810580445e-11, 1.9442247811696234e-10, -6.746825320647076e-13] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1502354624326472e-10, -1.7714374411781364e-10, -8.919709415522448e-11, -2.4075852422811295e-11, -5.243916412212002e-12, -9.009037960083788e-11, -6.331968283035394e-11, 1.4023449068645277e-11, 8.060707656909472e-11, 9.133804823591163e-11, 1.7116374984027516e-10, -2.2222668150106983e-10, -3.550311156175212e-10, -1.778748259795293e-10, -5.093347965612338e-11, -1.2023715356690445e-11, -1.7955492648269455e-10, -1.2615042344066296e-10, 2.7330138152592554e-11, 1.582263209343182e-10, 1.8342749541488956e-10, 3.4179481467333517e-10] QuasiNewtonMethods.optimum(state) .- 1 = [7.811551405723094e-11, 1.4605872067363634e-10, 3.7541081354675043e-11, 1.435354057832683e-10, -1.3004208820888152e-10, -1.3980361313059575e-10, 1.618516431989292e-10, -3.2666291893690413e-10, -2.207813931676128e-10, 6.918310369030678e-11, -4.071212256206991e-10, 1.4881229581931166e-10, 2.783970831643501e-10, 8.577716315016914e-11, 2.8110336280917636e-10, -2.451756575538866e-10, -2.6906954442296183e-10, 3.1469404859763017e-10, -6.553191322922203e-10, -4.289306687610406e-10, 1.3634693374342532e-10, -8.338834067700418e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-2.478572902475662e-11, 1.5477619186299307e-11, 3.515721047619991e-11, -1.4076628751524822e-11, -2.23487894857044e-11, -4.009981235952864e-11, -3.6353142718326126e-12, -2.0981438808576058e-11, -1.6544987602173933e-11, -2.1199708655217364e-11, 3.878453114225522e-11, -5.1660120625740547e-11, 2.8932189977126654e-11, 7.135869672936224e-11, -2.922329045418337e-11, -4.4651726760491783e-11, -8.000144990916169e-11, -9.473200002219073e-12, -4.464006941873322e-11, -3.3609004468360126e-11, -4.296651923141326e-11, 7.862088757804031e-11, -1.1112222253473192e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.167488576456435e-11, -5.127231972323898e-12, -4.9542148161663135e-11, -1.7444157229817847e-11, -6.411926545268898e-11, 8.854095234767101e-11, 8.308798093992209e-11, 9.624279151410065e-11, -1.0658141036401503e-14, 1.1871992278145171e-10, 1.2816636640877732e-11, 8.248157712387183e-11, -1.2245093827800702e-11, -9.683898127832435e-11, -3.153133310007661e-11, -1.3309187085752683e-10, 1.7740209301564391e-10, 1.651507819389053e-10, 1.841296004556625e-10, 6.715294986747722e-12, 2.2734170102012285e-10, 3.738120923912902e-11, -1.3862244685469705e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-5.3854365411609706e-11, 7.008638114314181e-11, -3.939637505112614e-11, -1.7114565320497377e-10, -2.0996426819408498e-10, -8.453736599633999e-10, -8.521029437602579e-10, 5.873450614757303e-10, 4.3426240381450043e-10, -5.742804010111513e-10, -1.143909411638333e-9, -3.727967934352705e-10, -9.820955160222411e-11, 1.3674195109558696e-10, -6.657652207309184e-11, -3.5265290687647166e-10, -4.197504566150201e-10, -1.6775966171778123e-9, -1.699389295950482e-9, 1.1727763205016117e-9, 8.5927154280796e-10, -1.1468845872997235e-9, -2.3098565282708705e-9, -7.4970618602066e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.375622252363655e-11, 1.8366264065150517e-10, 9.645217957654495e-11, -5.968692207147797e-11, -2.466971071868329e-11, -2.517065444962441e-10, -1.8794965583879275e-12, -1.887157097257841e-11, 1.8868884232858818e-10, 4.370859230107271e-11, -2.418065747633591e-13, -3.435807194307472e-12, -1.2707879193385452e-10, 3.7182634748944565e-10, 1.900906099194799e-10, -1.114756065234701e-10, -5.403588687613592e-11, -5.015845516709305e-10, -4.283462473608779e-12, -3.448119567650565e-11, 3.839057960419723e-10, 9.698775116362413e-11, -4.224065541791333e-12, -7.756573161543656e-12] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m26.6s Method ambiguity | 1 1 8.6s 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 5.0s Compat bounds | 3 1 4 19.6s 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 18.9s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m04.4s RNG of the outermost testset: Random.Xoshiro(0xc1315b47667ba7ef, 0x64ce8ad6ac8e08c6, 0x366dfb92a1f0f6be, 0x06f496f3103c8e22, 0x3073064e078276e5) ERROR: LoadError: Some tests did not pass: 148 passed, 1 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/test/runtests.jl:35 Testing failed after 271.55s 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 518.03s: package has test failures