Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.3071 (c76331c927*) started at 2026-08-30T18:54:24.469 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.34s ################################################################################ # 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 v7.30.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 ⌃ [2a0fbf3d] + CPUSummary v0.2.6 [fb6a15b2] + CloseOpenIntervals v0.1.13 [34da2185] + Compat v4.18.1 [adafc99b] + CpuId v0.3.1 [ffbed154] + DocStringExtensions v0.9.5 [3e5b6fbb] + HostCPUFeatures v0.1.18 [615f187c] + IfElse v0.1.1 [10f19ff3] + LayoutPointers v0.1.17 [bdcacae8] + LoopVectorization v0.12.174 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.17.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [64452400] + QuasiNewtonMethods v0.1.4 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.46 [431bcebd] + SciMLPublic v1.3.0 ⌅ [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 To see why use `status --outdated -m` Installation completed after 3.86s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.9 s ✓ StaticArrayInterface 1.3 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.1 s ✓ LayoutPointers 1.2 s ✓ CloseOpenIntervals 17.9 s ✓ VectorizationBase 2.2 s ✓ StrideArraysCore 2.9 s ✓ SLEEFPirates 2.9 s ✓ VectorizedRNG 34.6 s ✓ LoopVectorization 4.0 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 38.8 s ✓ VectorizedStatistics 11.8 s ✓ QuasiNewtonMethods 13.0 s ✓ Octavian 14.1 s ✓ StrideArrays 14 dependencies successfully precompiled in 150 seconds. 56 already precompiled. Precompilation completed after 171.18s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_mNmVuu/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_mNmVuu/Manifest.toml` [79e6a3ab] Adapt v4.7.0 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.30.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 ⌃ [2a0fbf3d] CPUSummary v0.2.6 [fb6a15b2] CloseOpenIntervals v0.1.13 [34da2185] Compat v4.18.1 [adafc99b] CpuId v0.3.1 [ffbed154] DocStringExtensions v0.9.5 [3e5b6fbb] HostCPUFeatures v0.1.18 [615f187c] IfElse v0.1.1 [10f19ff3] LayoutPointers v0.1.17 [bdcacae8] LoopVectorization v0.12.174 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.29 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [64452400] QuasiNewtonMethods v0.1.4 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.46 [431bcebd] SciMLPublic v1.3.0 ⌅ [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 = [-2.5403346093355594e-11, -4.782862994545667e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.9237723353503497e-12, -5.095812660727006e-12] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [2.9454216843305403e-12, 9.785727783651055e-12, 2.3766544288150726e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.1581404158487203e-12, 5.455857987612944e-12, 6.099343252685685e-12] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [5.6001425718932296e-11, -5.6100235568123935e-11, 1.021485118712917e-10, -1.1869960570010107e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.8196112939203886e-12, -1.6237011735142914e-12, 7.322809025822608e-12, -3.52973206219076e-12] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-5.505040867603839e-12, -1.8014367775265328e-11, -1.1558642931674967e-11, -3.547695470729195e-11, -1.0749179324420766e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.2772230202103856e-11, -1.1247602849095983e-10, 7.851652661372555e-11, -2.2581125858067708e-10, -1.1368683772161603e-13] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [5.203171227208259e-12, -9.192424599291371e-12, 1.6179724227072256e-11, 4.340305892469587e-12, -1.626987433667182e-11, 3.161804151829983e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.102562485755243e-11, -3.64974717115274e-12, -1.7967849430533533e-12, 2.3165025453408816e-11, -9.588774219082552e-12, -3.0175861809311755e-12] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [2.531752585355207e-12, 2.7329249974172853e-12, 6.355582726769171e-12, 5.532685420917005e-12, 5.470512931537996e-12, 1.3292034140022224e-11, -2.036815160977312e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.2568390772571547e-11, 1.5429879596240426e-12, -6.918909889463976e-13, 2.4620971927902247e-11, 2.8128610551902966e-12, -4.1966430330830917e-13, -3.3320790571167436e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-1.7559653731069602e-10, -7.838241167235083e-11, -2.5799040681562246e-10, 1.305267005591304e-11, -3.318201269308929e-10, -1.6767587318611277e-10, -5.055230678507883e-10, 2.981770386156768e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.577693862335309e-11, -5.566225258490931e-11, 2.1893153956398237e-11, -1.0461265187444724e-10, 1.1747669503847646e-10, -1.1389056364663475e-10, 3.789391023190092e-11, -2.124678211146147e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [2.479816352263242e-11, -7.716094430065823e-11, -7.258837975143706e-11, 6.433831245544752e-11, 5.583866702352225e-11, -1.4759049538071167e-10, -1.4037349060913584e-10, 1.3468914872305504e-10, -3.2856495302269195e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.9365176956730465e-11, 9.448730686756335e-11, -3.2321589849004795e-11, 1.4834466988133954e-10, -5.05193664679382e-11, 1.9068169265779034e-10, -6.775258132307727e-11, 2.9932101242025055e-10, -1.0163569985621734e-10] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-1.809563610066789e-11, 1.2931877790833823e-12, 2.0942136913504328e-11, -2.916766828064965e-11, 1.6104229061397746e-11, -3.741240650612099e-11, 3.1452618287630685e-12, 4.121591956618431e-11, -6.054323709037135e-11, 3.385092206542595e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-8.654521543860483e-12, -3.1040392478587364e-11, 1.2364331780645443e-11, -7.783884647949435e-12, 1.2588152742409875e-11, -2.046907088271155e-11, -6.288169984713932e-11, 2.5899948852270427e-11, -1.5066281555675687e-11, 2.4819479804705225e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-2.5293545036220166e-11, -2.4016677535598774e-11, -3.791389424634417e-11, 5.476907816159837e-11, -7.965739179383036e-12, -4.460531943806245e-11, -5.183931062191505e-11, -7.839229265726999e-11, 1.0889444901351908e-10, -1.5524359575636026e-11, -6.256328788367682e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.108891170697461e-12, -3.9970249332554886e-12, 1.6935564062237063e-11, 1.9304557952182222e-11, -1.537403537810178e-10, -6.725731083179198e-12, -1.2932988013858449e-11, 2.8321123224372968e-11, 3.842037799017817e-11, -3.058830966296e-10, -1.1221024109886457e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-1.862798804097565e-11, -2.417055444681182e-11, 5.325007101930623e-11, -2.058875292476614e-11, 2.0107471243591135e-11, 3.751488009129389e-11, -3.6362357569430515e-11, -5.324762852865206e-11, 1.0428657937211483e-10, -4.632116912262063e-11, 3.759970113037525e-11, 7.849698668849214e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.4686607485714376e-10, 2.3123170045380448e-10, 4.1797676431087893e-11, -3.1541769196508085e-11, -4.347144866301278e-11, -5.285671900168154e-11, -2.9496027842412786e-10, 4.683482490719371e-10, 7.597167339667976e-11, -6.049305500965829e-11, -7.799505485905911e-11, -1.0830158991836925e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-9.550027435523134e-12, 1.0087131130376292e-10, -2.304378909911975e-12, 2.2645885167094093e-11, -1.314309772126876e-10, 3.2170266450748386e-11, -3.0332070188876514e-11, 2.065794202366078e-10, 1.440181307543753e-11, 5.7805982223158026e-11, -2.454824121755905e-10, 5.413491876993248e-11, -1.6233681066069039e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-4.728306635115587e-11, 9.723555294272046e-12, 9.405232148651521e-11, -1.7314816247449016e-11, 1.4139134307811219e-11, -4.826350430420234e-11, -9.043010784637318e-11, 2.036459889609432e-11, 1.8773915755332382e-10, -3.6609493214712074e-11, 3.404876380841415e-11, -1.0316814069710745e-10, 2.537969834293108e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-6.21599438588305e-11, 1.2250200853713977e-11, -3.757549826843842e-12, -1.4543255488774776e-11, -1.3873124871111031e-11, 4.179590007424849e-11, -4.271893949692185e-11, -1.199864652079441e-10, 2.81998868700839e-11, -1.7461587731304462e-12, -2.9001800960770652e-11, -3.035471873857887e-11, 8.383782557075392e-11, -8.227740710964326e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.705958093850995e-11, -1.4445111773397912e-12, -1.0959344542982308e-11, 2.1604495969995696e-11, -8.58424442640171e-13, 8.651079852484145e-12, 4.28834745491713e-12, -1.521341941312926e-10, -1.7498225091117092e-12, -2.257516396042547e-11, 4.245825913073986e-11, -3.6692870963861424e-13, 1.6328272067767102e-11, 4.948930154569098e-12] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-4.782252371882123e-11, 2.1369128688775163e-11, -1.4492185229642018e-11, 4.0110581522867506e-11, 1.0833112185082427e-11, 6.637423943800513e-11, 2.0272006295840583e-11, -8.747691460087026e-11, 5.1882054208363115e-11, -2.4295787603989538e-11, 7.747713581807147e-11, 2.6077140447000602e-11, 1.4170420392645156e-10, 4.618616600282621e-11, -5.629829935571706e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.0304423980755928e-10, -8.985845401099368e-11, 2.3775426072347727e-11, 1.0033018860156062e-10, -1.682376460365731e-11, -3.302802475957378e-11, 3.7563729904377396e-11, 2.1127855021063624e-10, -1.7451040612570523e-10, 4.546496512602971e-11, 2.084166172977575e-10, -2.714373170675799e-11, -7.576939076159306e-11, 7.073230889886872e-11, 5.0111026439481066e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-4.527360708550532e-10, 4.412932241848466e-10, 2.518143471519352e-10, 1.2562713092023614e-9, -4.158614563820606e-10, 7.456515405124264e-10, 3.381057656071107e-10, 1.733524435110212e-10, -9.05105990156585e-10, 8.768090697941489e-10, 5.29385868475174e-10, 2.5279447424253476e-9, -8.335311330043282e-10, 1.5047676438229018e-9, 6.891713866252758e-10, 3.7111291817382153e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.250597403412712e-10, -1.5030421351980294e-11, 1.9981349907993717e-11, -2.8775870575259432e-12, -2.846156643698805e-11, -2.3668178528168937e-11, -2.331923543152925e-11, -2.087652273274898e-11, 2.3694401996010583e-10, -4.126565755768752e-11, 3.4288571981733185e-11, -6.831868404333363e-12, -6.986677902887095e-11, -4.7704395989001114e-11, -4.853095703083454e-11, -3.946643012397999e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [1.2212897360086572e-11, 1.942890293094024e-12, -5.65514302053316e-12, 5.297584593222382e-11, -5.236588940249476e-12, -2.2192248039232254e-12, -6.133760166449065e-12, 3.113509450258789e-12, 2.404876298101044e-11, 3.9031000653722e-12, -9.688805313601279e-12, 1.0677947415160816e-10, -1.0321965504545005e-11, -3.8995473516934e-12, -1.060374010819487e-11, 4.794387109541276e-12, 2.3736568266485847e-13] QuasiNewtonMethods.optimum(state) .- 1 = [1.2563217133276794e-10, 9.943379453147827e-11, 1.5981549417176666e-10, -3.416611438211703e-11, 4.1714409704241007e-11, -7.13952230668724e-11, -1.2176815111786254e-11, -1.2522782810719946e-10, 2.6084889803712485e-10, 2.0788593069198669e-10, 3.1958347079807936e-10, -6.906286653673988e-11, 1.0393486071791358e-10, -1.446208708344443e-10, -3.349143185005232e-11, -2.7501712018818125e-10, -2.8880231539574197e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [8.313216781630217e-11, 2.995936831950985e-11, -6.441946975854762e-11, -2.972511126131394e-11, 1.1148348910694494e-10, 3.251909852508561e-11, -2.0188095639639414e-10, 1.8073764707082773e-11, -5.2120308069447674e-11, 1.6441759065344286e-10, 5.825917526181001e-11, -1.325040077659878e-10, -5.839384531469705e-11, 2.1260859739413718e-10, 5.68982638782245e-11, -4.2125247734503546e-10, 3.7095881921800355e-11, -1.0015466234136738e-10] QuasiNewtonMethods.optimum(state) .- 1 = [5.937472735695337e-11, -7.790912359695312e-11, 1.7072121494265957e-11, 4.3153924877969985e-11, -1.4722112418041888e-11, -8.402500917270572e-11, 1.7242851590992814e-10, -1.8431900450366356e-10, 7.590150730152345e-12, 1.19101173368108e-10, -1.5083434501406146e-10, 3.7834180233176085e-11, 8.132361450918779e-11, -3.038891360773732e-11, -1.6147827519574776e-10, 3.6800584801710556e-10, -3.4848268715137465e-10, 1.0500267322299806e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [8.218314917485259e-12, 2.8854030276193043e-11, -1.043820585522326e-11, -1.3592904579695642e-11, 1.2165823903842465e-12, 1.2878587085651816e-13, 7.884048969231117e-11, 4.3519410297676586e-11, -2.6420088339307313e-11, 1.5042855849856096e-11, 5.76274583607983e-11, -2.508149243851676e-11, -2.6038948774953496e-11, -1.7641443861293737e-12, 8.506528814677949e-13, 1.5537771069773498e-10, 9.254463861907425e-11, -5.1848969562229286e-11, -1.63113966777928e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.424238670390878e-11, 1.8485657449218706e-11, 1.5235945838298903e-10, -7.574074700755773e-11, -6.967681986935759e-11, 6.610179070776212e-11, -1.6628920462835595e-11, -1.4483936272569053e-10, 5.5988547131846644e-11, 5.74438274725253e-11, 3.1286306878541836e-11, 3.0655411542568345e-10, -1.4931522684946685e-10, -1.5291301558306714e-10, 1.1954259804269896e-10, -2.1299628727433628e-11, -2.9505475840352346e-10, 1.2210610300655844e-10, 9.89719417532342e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-3.327504938255288e-11, 9.544587342702471e-11, -2.418065747633591e-13, 2.1786350501429297e-11, -3.1048530413357867e-10, -7.894029874222497e-11, 1.2840795093893576e-10, -2.1109280989861645e-10, -1.0162104491229229e-10, 2.774214191703095e-10, -8.465350642694602e-11, 1.7897372472930329e-10, 9.578338122651076e-12, 5.1323389982371737e-11, -6.251866802031714e-10, -1.5948942166943425e-10, 2.585900382712225e-10, -4.379294704648373e-10, -2.0758961216671423e-10, 5.452558404783758e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.1530333899354446e-13, 6.914890882114832e-11, -1.1899914387214494e-10, 1.582423081458728e-10, 7.136247148764596e-11, 8.658962435958983e-11, -2.7920421530325257e-10, 1.0328005117798966e-10, 2.4367241557854413e-10, 1.0792655658065087e-10, 1.2099210522364956e-12, 1.2906764546016802e-10, -2.3878066190974323e-10, 3.343438859104708e-10, 1.4453305219319645e-10, 1.7592549639289246e-10, -5.436820993409697e-10, 2.1438895103642608e-10, 4.909792572505012e-10, 2.1682922124455217e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-5.970557381829167e-12, -3.1711189230065884e-11, -3.186584329739617e-11, -5.492384325123112e-12, 1.3152146038919454e-11, -2.0040746839811163e-11, -2.536615362203065e-11, 2.619615635524042e-11, 3.9258374329165235e-11, -2.9743874030430106e-11, -1.2259970816330679e-11, -6.337619318230736e-11, -6.09473582713349e-11, -1.1961764911916362e-11, 2.897126982759346e-11, -4.117872709485937e-11, -5.035050154589271e-11, 5.5821791633547946e-11, 7.907474675050707e-11, -5.913736167428851e-11, -2.37698749572246e-13] QuasiNewtonMethods.optimum(state) .- 1 = [7.135159130200464e-11, -1.0274225914486124e-10, 1.6067147612375265e-12, -1.4700918260501794e-10, 9.253220412119845e-11, 2.638644858166117e-11, 6.516454043037356e-11, 9.061196237780678e-12, -6.503453331418996e-11, -4.1938119643702976e-11, 1.5004975040255886e-10, -2.0032508984968445e-10, -1.3911094498553211e-13, -2.767750473253727e-10, 1.9105694804011364e-10, 5.154388027506229e-11, 1.2612644262333106e-10, 1.7944534747016405e-11, -1.4004519766075418e-10, -7.669709312096984e-11, -3.797517855730348e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [1.0301559605352395e-10, 3.448485941248691e-11, 8.234368742421339e-11, 3.1715297055257e-11, 6.832001631096318e-11, 4.2703396374577096e-11, 5.196332253376568e-11, 1.8945955915228296e-11, -1.7444379274422772e-11, 2.2374990749085555e-11, -1.3915724128565898e-10, 2.0649371101910674e-10, 6.563793952807373e-11, 1.7441470490098254e-10, 6.269496033439736e-11, 1.4207035547997293e-10, 7.896217013581008e-11, 1.0479506151739315e-10, 4.403810649478146e-11, -2.793987263771669e-11, 5.262901225933092e-11, -2.775905061369599e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.8500535265152394e-11, -1.655920955911938e-10, 3.5519120977767216e-10, 2.420381672862959e-10, 2.066442572612459e-10, 2.145941202513768e-10, -1.42690637083831e-10, 3.078051147298311e-10, 1.463784649047284e-11, 1.808331262509455e-10, -1.0910050640688951e-10, 6.077693903705494e-11, -3.329539977059426e-10, 7.208065255781548e-10, 4.6190362645859295e-10, 4.2740211370073666e-10, 4.3056447296407896e-10, -2.911838548058654e-10, 6.061970925230753e-10, 3.7523539830885966e-11, 3.590903130401557e-10, -2.1328894206362747e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5976076017665264e-10, -3.1916025378109225e-11, -1.2323275733194805e-10, 9.295275660292646e-11, 1.8488321984477807e-11, -7.514044941814291e-11, 5.498868027586923e-11, -5.834532856852093e-11, 8.776490645345802e-11, 9.406919687648951e-11, 1.269118143909509e-10, -3.222994093832199e-10, -6.630684890041039e-11, -2.5475310749811797e-10, 1.9647350413265485e-10, 3.826028383002722e-11, -1.4551604365919957e-10, 1.1158096668850703e-10, -1.2834988627474786e-10, 1.8530865730781443e-10, 1.9970070042063526e-10, 2.536553189713686e-10, 2.1648016712561002e-11] QuasiNewtonMethods.optimum(state) .- 1 = [6.905143123958624e-12, 1.46761713892829e-10, -1.1300183011542231e-11, 5.4150017803067385e-12, -1.3433465451129223e-10, -1.1473044736476368e-12, -5.321987295303643e-11, 1.8950840896536647e-11, 1.1531064991743278e-10, -4.9569459648068914e-11, -9.982037418865275e-11, 1.1108669539794391e-11, 2.930677922563518e-10, -1.9669266215771586e-11, 1.2104983682093007e-11, -2.7042723615977593e-10, -3.4098279755312433e-12, -1.0610301526270405e-10, 3.799804915161076e-11, 2.2824298007151356e-10, -1.049166309385896e-10, -2.0028656511072995e-10, -3.595568287551032e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [6.107025996016091e-11, -5.565303773380492e-11, -9.780964926875413e-11, 1.7325474388485418e-11, 4.798006436601554e-11, 2.240740926140461e-11, -1.1111001008146104e-11, 5.188716123427639e-11, -4.297950884080137e-11, -1.1696643653635874e-11, 7.052136652418994e-13, 3.940514581302068e-11, 1.209721212092063e-10, -1.1633771723751352e-10, -1.9264378980921038e-10, 3.405786763721608e-11, 9.885159357736484e-11, 4.6420201016417195e-11, -2.004896249019339e-11, 1.0810774497826969e-10, -8.321343614170473e-11, -2.7447155659388045e-11, 3.65463215246109e-12, 7.499956211631797e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.1986191473265535e-11, -2.2043589176234946e-11, 4.253508656404392e-11, 3.143352245160713e-11, 2.9829028136418856e-11, 5.057820828824333e-11, 2.6991742174686806e-12, 9.759970609479751e-12, 1.8285595260181253e-11, 1.3069767490492268e-11, 3.416333882455547e-11, 1.641464741908294e-11, 6.197309332378609e-11, -4.659927999028923e-11, 8.412914809241556e-11, 6.18711748501255e-11, 5.99151839253409e-11, 1.0396528082878831e-10, 8.148814956143724e-12, 2.0406121237215302e-11, 4.174949275181916e-11, 2.821964883992223e-11, 7.776712607210357e-11, 3.9751313352098805e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m03.8s Method ambiguity | 1 1 9.1s 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 5.3s Compat bounds | 3 1 4 19.2s 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 18.5s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 54.7s RNG of the outermost testset: Random.Xoshiro(0x4ae9a74f7d5aa433, 0xb7cbd2d13018e875, 0x0303da379e4ab55c, 0xe2e1a34691656385, 0xb58bd9c71ee0a101) 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 263.38s 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 492.68s: package has test failures