Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2212 (062a90bc8c*) started at 2026-05-22T03:23:05.095 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.86s ################################################################################ # 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 v4.6.0 [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 v0.12.173 [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 v0.6.43 [431bcebd] + SciMLPublic v1.0.1 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.10.0 ⌅ [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 v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+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 To see why use `status --outdated -m` Installation completed after 4.62s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 6.2 s ✓ StaticArrayInterface 1.4 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.7 s ✓ LayoutPointers 1.5 s ✓ CloseOpenIntervals 15.1 s ✓ VectorizationBase 2.3 s ✓ StrideArraysCore 3.8 s ✓ SLEEFPirates 4.1 s ✓ VectorizedRNG 35.6 s ✓ LoopVectorization 4.1 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 38.8 s ✓ VectorizedStatistics 13.0 s ✓ QuasiNewtonMethods 13.5 s ✓ Octavian 14.7 s ✓ StrideArrays 14 dependencies successfully precompiled in 156 seconds. 56 already precompiled. Precompilation completed after 179.03s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_cYmYTQ/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_cYmYTQ/Manifest.toml` [79e6a3ab] Adapt v4.6.0 [4c88cf16] Aqua v0.8.14 [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 v0.12.173 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.29 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [64452400] QuasiNewtonMethods v0.1.4 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [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 v0.5.5 [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 v1.13.0 [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 v1.5.1+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.3+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [458c3c95] OpenSSL_jll v3.5.6+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 v1.69.0+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/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_depth() @ 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 = [1.4277468096679513e-12, 3.077316179656009e-12] QuasiNewtonMethods.optimum(state) .- 1 = [8.213651980781833e-12, 1.658495563106044e-11] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [7.332090490308474e-11, 1.3992185188271833e-10, -1.034040630898403e-9] QuasiNewtonMethods.optimum(state) .- 1 = [1.191269305422793e-12, 7.172706872893286e-12, -2.035571711189732e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-1.6986412276764895e-11, -1.6244228184802978e-11, -3.796141179179813e-11, -2.7995605833552872e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.432809757621726e-11, 6.094014182167484e-11, 1.1249379205935384e-10, 1.195430421319088e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [1.1803447108604814e-10, -2.2748947170470046e-10, 2.301869805876322e-10, -4.5587666974711283e-10, -6.153300091682468e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.0028423364237824e-12, -5.025979632478084e-12, 4.407141318552021e-12, -1.0712986053817986e-11, 2.2785773268196863e-11] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [2.343081284550408e-10, 1.1579626146840383e-10, -1.4002132786572474e-12, 4.862139579842051e-10, 2.3149415717682587e-10, -5.632938560040657e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.926969860401641e-11, -6.689659937109127e-11, -4.722933155676401e-11, 8.187495126321664e-11, -1.3830725453800596e-10, -8.735190348829747e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [1.769495661108067e-11, -2.0162205238705155e-11, 9.71311919784057e-12, 3.0746516443969085e-11, -4.056754931980322e-11, 3.3163694013182976e-11, -1.4644618850923052e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.044066275772252e-10, -6.787415074427372e-11, 4.267710629335397e-10, -1.0311772546955922e-9, -1.1889311757329324e-10, 8.338094659166018e-10, 1.6820100867676047e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0778712084279505e-11, 2.361755235824603e-11, 2.6619817461437378e-11, 8.218981051300034e-11, -4.17342826963818e-11, 5.236033828737163e-11, 5.286859838804503e-11, 1.646858205361923e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2784218128558678e-12, 4.454214774796128e-11, 4.810463138937848e-11, -4.985167834092863e-11, -7.0903283244661e-12, 8.661493744455129e-11, 9.283085411482261e-11, -9.779721477087833e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [2.249123109976381e-10, -5.108702350042904e-11, 1.9591528399587332e-10, 1.0479261902673898e-10, 4.462312741537744e-10, -1.178017683400867e-10, 3.8895642262559704e-10, 2.0569035363848798e-10, 1.8385293287792592e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.6330938257833623e-12, 4.026334821105593e-12, 2.141620214501927e-12, -9.46731582018856e-12, -7.893907749689788e-12, 8.918199512208957e-12, 3.721023489333675e-12, -1.9728219058379182e-11, 4.1175951537297806e-11] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-2.4589885683212742e-11, -7.569767035420227e-11, -4.755784654975059e-11, 1.097693047569237e-10, 3.2343683287194835e-11, -5.0365933645935e-11, -1.5441581346919975e-10, -7.687039893511383e-11, 2.1446622255894e-10, 6.486655657056417e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.7770229732150256e-12, 9.78817027430523e-12, 7.885203601176727e-11, 3.065125930845625e-11, 5.176792328143165e-11, 1.2120304759832834e-11, 1.6738388453063635e-11, 1.5507928274871574e-10, 6.206923863771863e-11, 1.0385181603567162e-10] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5023982058437468e-11, 5.28284083145536e-11, 1.5713097489822303e-10, 5.988232132381199e-11, 3.645128643370299e-11, -2.3284041361648633e-11, 1.046402964277604e-10, 3.2339175781714857e-10, 1.207653976820211e-10, 7.51834150491959e-11, 8.068878898370713e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1888268147686176e-12, -1.0207945599916002e-10, -1.3214929150962007e-10, 1.1673106925513821e-11, 1.175888275639636e-10, -9.778955423200841e-12, -2.2080792749790135e-10, -2.5525759284050764e-10, 3.2051028497903644e-11, 2.257409814632183e-10, 3.320232977443993e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [2.4751978244808015e-11, -6.485034731440464e-12, -2.131606002819808e-11, -2.0022428159904848e-11, 1.1438183733503138e-11, 1.0688117058066382e-11, 5.0716542077111626e-11, -1.3358647521499734e-11, -4.229927519361354e-11, -3.9585335009917344e-11, 2.337041671296447e-11, 2.2142288003124122e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2946888006126755e-10, 7.058864603948223e-11, -9.952334512064454e-10, -3.7488445681077565e-10, 2.3681834271371827e-10, 2.972437851411769e-10, -2.622233541416108e-10, 1.4061463105008443e-10, -2.0005577194837088e-9, -7.326276252328512e-10, 4.906324235776083e-10, 6.016331877134462e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [6.125033813475511e-11, 4.421951693700521e-11, 4.862976688002618e-11, 2.1862067711708733e-11, -2.8602675783417908e-12, 1.5268675213064853e-11, 1.2521983450142216e-10, 8.980349797127474e-11, 9.433276382253553e-11, 4.0963232805779626e-11, 4.207079129514568e-12, 3.513656032794188e-11, 2.58748578119139e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.9783064075795664e-12, 2.5370372469524227e-11, 1.841171659577867e-11, -4.321054625222587e-11, -4.1505132664099165e-11, 6.040412614538582e-11, -1.0447198661722723e-12, 4.8309578559724287e-11, 3.9110936711495015e-11, -8.944722740267252e-11, -8.513767468798505e-11, 1.2073408939272667e-10, -7.757616771186804e-11] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-1.6126622259804435e-10, 1.6541212843890207e-11, 1.3692402767162548e-10, -3.034728024431388e-11, -9.161227332299404e-12, 6.338152225282556e-11, 4.2054582038986155e-11, -3.0861202482412864e-10, 3.200550935389401e-11, 2.7256152890231533e-10, -5.221290066970141e-11, -1.6765810961771876e-11, 1.16358478408074e-10, 7.612821484315191e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.578093294403061e-11, -4.544720155763571e-11, 1.3806733534238447e-11, -3.386591007625839e-11, -4.012223886462607e-11, 1.0880185641326534e-11, -4.315847679237095e-11, -5.3073989647600683e-11, -9.500011888263771e-11, 2.8601787604998208e-11, -6.658940066017749e-11, -8.839684539907466e-11, 2.177458213736827e-11, -8.786660288251369e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [1.6646461986624672e-11, -6.43407549461017e-12, 4.1062930833390965e-11, -8.254175121180651e-12, 2.6231683492028424e-11, -2.4440893753308046e-11, -1.6335821584334553e-12, 3.162670125789191e-11, -1.872546562253774e-11, 9.094081043770075e-11, -1.3175571744739045e-11, 5.0842663412709044e-11, -5.6867621722744843e-11, -7.282840996936102e-12, 5.986566797844262e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.434610208406184e-10, -2.56510923613007e-10, -9.699674397012359e-11, 2.0261126110199257e-11, -1.7482459924167415e-11, -4.1924352878197624e-11, -1.1174328129470723e-10, 2.9256685962764095e-10, -5.330952346227491e-10, -1.873331489932184e-10, 4.7600368091593737e-11, -3.806566173381043e-11, -8.231715309392484e-11, -2.273341515035554e-10, -6.2230220976289274e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [4.131117670169715e-11, 9.988143645500713e-11, 3.005029558522665e-10, -2.1894486224027787e-11, -1.0220158053186879e-11, 1.3238565799156277e-10, 1.932192184028736e-10, 1.6682211168017602e-11, 8.153500097307642e-11, 2.0628521113508214e-10, 6.0051119632476e-10, -4.69121408386286e-11, -3.192324182776929e-11, 2.6092505933661414e-10, 3.944515825082817e-10, 2.9006352875171615e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-8.825384867350294e-12, -9.620082508376981e-13, 9.86322135076989e-13, -1.4615197940770486e-11, -1.5032308731122157e-11, 1.1633582985837165e-11, -1.1534551092040601e-11, 2.010902555582561e-11, -1.809219440929155e-11, -2.1789237081293322e-12, 2.999822612537173e-12, -3.0941582629395725e-11, -2.7640112421067897e-11, 2.2390977960640157e-11, -2.2192581106139642e-11, 4.285594101816059e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [2.37565522809291e-11, 9.882383800174921e-11, 3.838640516562464e-11, 5.165978755883316e-11, -1.3903878048893148e-11, -1.4776624368550983e-11, -1.7897239246167373e-11, 6.930900298129927e-12, 4.3018921758175566e-11, 2.000160037596288e-10, 7.412737090817245e-11, 1.1141554345783788e-10, -2.7158830739892892e-11, -3.05044878246008e-11, -3.647548929563982e-11, 1.545075178910338e-11, -1.879829625295315e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0859779742133924e-10, 1.2175149777249317e-10, 3.207105692126788e-10, 4.087368221661336e-10, -1.0551559626037488e-10, -5.74393865804268e-11, 1.3871948034704928e-10, 1.0062728428295031e-10, -2.2795865195490705e-10, 2.413542699031268e-10, 6.400819874130548e-10, 8.397433859386183e-10, -2.2109347685983494e-10, -1.0389966664803296e-10, 2.816304967012684e-10, 2.1754820167529942e-10, 2.6645352591003757e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [3.093725275959969e-11, 1.1462097937453564e-10, -3.3931524257013734e-11, -1.185016529348104e-10, -6.898748239336783e-11, 4.207145742896046e-11, -3.097566647625172e-11, -3.6851410811777896e-11, -1.754396627973165e-11, 6.163292098904094e-11, 2.3051716091515573e-10, -5.72832892231645e-11, -2.3516188996097753e-10, -1.4058854080900574e-10, 8.145839558437729e-11, -6.140332686754846e-11, -7.801703727494669e-11, -3.309641449789069e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.083189424937018e-11, 3.473692444799781e-10, 3.35143024443596e-11, 2.480844418784045e-10, 2.49406939545338e-10, 1.2108003488719987e-10, -2.8731528267655904e-10, 1.7280665787211547e-10, 2.460227577216756e-10, -1.058848564383652e-10, 6.953424502853522e-10, 7.242717536826149e-11, 5.093494515051589e-10, 4.845457368674033e-10, 2.3206148114240932e-10, -5.827097693256178e-10, 3.3962388457098314e-10, 4.890607918639489e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-3.347688792842973e-11, 2.949196442614266e-12, -1.0662803973104928e-11, -3.374500678887671e-11, 1.3520740083095006e-11, 3.125433245543263e-11, -5.252465129501616e-13, 7.321920847402907e-12, -1.9734436307317083e-11, -6.706046828952594e-11, 6.45217212991156e-12, -2.1048052190053568e-11, -6.960787501952836e-11, 2.8485658276622416e-11, 6.212252934290063e-11, -2.728151038411397e-12, 1.516831105163874e-11, -3.718880758896148e-11, -5.915268275202834e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-2.5802693315313263e-11, 2.5319080165786545e-11, 1.1962431045731137e-11, -1.006617011967137e-11, -4.773370587685122e-11, -3.814737414842284e-11, 5.693179261356818e-11, -1.7672530105983242e-12, -5.138889314082462e-11, -4.850753132501495e-11, 4.886402393822209e-11, 2.442290814030912e-11, -2.0671575562403177e-11, -9.800982248009404e-11, -7.56730234030556e-11, 1.0878897782617969e-10, -4.789502128232925e-13, -1.0500900149423842e-10, 7.855938122247608e-13] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [1.0608847134108146e-11, -6.8868244440523085e-12, -9.855893878807365e-12, -2.571831636544175e-12, -1.3261280962240107e-11, -5.2192805632955697e-11, -3.551881011532032e-11, 5.711431327881655e-12, -4.9750426001082815e-11, -2.481170824353285e-11, 2.2185364656479578e-11, -1.4313217278072443e-11, -2.3547608307694645e-11, -4.243494444722273e-12, -2.803213217106304e-11, -1.037899766132e-10, -6.958533749212847e-11, 1.1782574915741861e-11, -9.534439904257397e-11, -5.0795478934162475e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.6388780050012883e-11, -2.7958746429135317e-11, -2.669264809185279e-11, -9.790057653447093e-12, -9.778178267083604e-12, -6.667277840932684e-11, 2.3806068227827382e-11, 1.646149883072212e-11, -4.833100586409955e-11, 2.3318014186202163e-11, -5.321687535086994e-11, -5.1862181216222325e-11, -4.947253717801914e-11, -2.1042612097232904e-11, -2.2123525234007957e-11, -1.342207456289657e-10, 4.275602094594433e-11, 3.570632678417951e-11, -9.095935116221199e-11, 4.6319170721176306e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-9.209188966963211e-12, 3.747002708109903e-12, 1.1636691610306116e-11, 1.5230039451807897e-12, 1.1345369088644475e-11, -1.1342704553385374e-11, 1.4226619882151681e-11, 9.313660953580438e-12, 7.380096533893266e-12, 4.5783377089492205e-12, -1.9098722603416718e-11, 9.216849505833125e-12, 2.301780988034352e-11, 3.8693492854235956e-12, 2.273092825078038e-11, -2.0849322268645665e-11, 2.8080870961844084e-11, 1.9041213050741135e-11, 1.5578649481540197e-11, 8.64952554024967e-12, -1.1938228183794308e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.4017453864312301e-11, -2.080013938865477e-11, 3.9330760870370796e-12, 1.9938939388453036e-11, 9.795941835477606e-11, -1.9987567156931618e-11, 7.858380612901783e-12, 3.117750502212857e-11, 2.886801908630332e-12, 3.0470737044652196e-11, 3.019051675323681e-11, -4.1067815814699316e-11, 7.206901742051741e-12, 3.374522883348163e-11, 2.0747292772682613e-10, -3.9175329646923274e-11, 1.4124257319281242e-11, 5.95727911445465e-11, 1.02802211188191e-11, 5.559241955666039e-11, -1.8429591186475136e-11] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [4.1670000783256e-11, -1.3081125072034183e-10, 6.84532430739182e-11, 4.3588688214413196e-11, 7.94164733974867e-12, 9.714429261009627e-11, 7.720801775690234e-11, 1.0963741026159823e-10, 1.6880052911005805e-11, 5.022071647431403e-11, 3.8226977139288465e-11, 8.06619215865112e-11, -2.650969443962481e-10, 1.3793477471324422e-10, 8.955547414757348e-11, 2.2636337249082317e-11, 1.8849455329927878e-10, 1.5717382950697356e-10, 2.1511681325137033e-10, 3.3650415787178645e-11, 1.0409806350253348e-10, 8.453016064891017e-11] QuasiNewtonMethods.optimum(state) .- 1 = [8.051670441489023e-11, -3.100963930080525e-11, -1.5714818335510472e-10, 3.9583225586170556e-11, 4.0681680246734686e-11, -8.081313396246514e-11, -1.4539258685886125e-11, -7.062317397554807e-11, -2.1030288621659565e-11, -5.389244606135435e-11, 1.3036305368530066e-10, 1.6318391082847938e-10, -5.854761120360763e-11, -3.0675761930609724e-10, 8.589418065696464e-11, 9.32423027677487e-11, -1.6239287692343396e-10, -3.054601016572178e-11, -1.4700318740068496e-10, -4.159306232764948e-11, -8.913370042051838e-11, 2.7478286312998534e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [1.972297880570295e-10, -1.6814327707947996e-11, -1.13429265979903e-11, 4.217048932275702e-11, -7.005485080924245e-11, 2.3794299863766355e-12, 1.3689360756075075e-10, -1.9376522608638425e-10, -1.5254697505184822e-10, -1.785427361511438e-11, 6.806755159516342e-11, 4.030247247044372e-10, -3.186340080674199e-11, -1.8401835610859507e-11, 8.136957774240727e-11, -1.4105272505560151e-10, 4.585221091701897e-13, 2.725140113568614e-10, -3.773127366102358e-10, -3.1183566839843024e-10, -3.715383556368579e-11, 1.2797696236077627e-10, -2.5451862839531714e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.325029471871858e-11, 4.350320104151706e-11, -6.223854764897396e-11, -4.045797030727272e-11, 1.1887468787108446e-10, -1.0126222083073344e-10, -1.8243895283376332e-10, -7.300293702883209e-11, -2.470901261375502e-11, -1.1802780974790039e-11, -6.527289819757698e-11, -1.2762713108571688e-10, 7.803047097354465e-11, -1.2134038218647447e-10, -7.438394344916333e-11, 2.3391755199497766e-10, -2.0704538084004298e-10, -3.4947100768789596e-10, -1.392013171397366e-10, -4.421951693700521e-11, -1.2178702490928117e-11, -1.3217016370248302e-10, 7.044143046641693e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [1.699285157030772e-11, 4.835687406057332e-12, 2.382005703793766e-11, 5.2492898916511876e-11, 3.751798871576284e-11, -2.60549359865081e-11, -6.584910394735743e-11, 9.476419648990486e-12, -1.8003598611926463e-11, -9.585443550008677e-12, 1.5289636223769776e-10, -2.86323187381754e-11, 3.244315927020125e-11, 1.3491430195244902e-11, 4.854761037620392e-11, 1.044051511911448e-10, 7.446421257384372e-11, -4.9745429997472e-11, -1.286349915474716e-10, 1.9608759060929515e-11, -3.4372504842394846e-11, -1.8416379532482097e-11, 3.0063129763391316e-10, -5.6674775983367454e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.996869584772412e-11, -1.0170109199236776e-10, 8.216316516040933e-11, 5.475264686083392e-11, 8.930456374400819e-11, 5.3927529108932504e-11, 4.3287151640925003e-11, -6.968758903269645e-12, 1.2467582521935583e-11, 1.9714141430426935e-10, -3.866540421171294e-11, -1.1695733270755682e-10, -8.957357078287487e-11, -1.9754520241832552e-10, 1.726898624099249e-10, 1.1860779025596457e-10, 1.8744383822877353e-10, 1.154101259004392e-10, 8.362599501765544e-11, 5.713651773930906e-12, 2.3775204027742802e-11, 4.1283798601909893e-10, -7.561251624821352e-11, -2.2792367992963136e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 3m55.4s Method ambiguity | 1 1 9.5s 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 6.1s Compat bounds | 3 1 4 9.9s 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 9.3s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 51.0s RNG of the outermost testset: Random.Xoshiro(0x96b734c6cbf7fe48, 0xa2ee239b57891133, 0x57d5d7ec4532f612, 0xa1c0855a9023ae25, 0xa2f27cb01d8bc33e) 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 254.74s 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] Cmd(cmd::Cmd) @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3110 [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:587 [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:355 [12] _start() @ Base ./client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 476.23s: package has test failures