Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2468 (92be8bc088*) started at 2026-07-02T18:29:44.039 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.95s ################################################################################ # 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 v7.27.0 [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 v1.2.1 ⌅ [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 v1.5.5+2 [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 To see why use `status --outdated -m` Installation completed after 4.63s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.2 s ✓ StaticArrayInterface 1.2 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.4 s ✓ LayoutPointers 1.5 s ✓ CloseOpenIntervals 17.4 s ✓ VectorizationBase 2.2 s ✓ StrideArraysCore 3.5 s ✓ SLEEFPirates 4.2 s ✓ VectorizedRNG 40.6 s ✓ LoopVectorization 4.3 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 44.8 s ✓ VectorizedStatistics 13.8 s ✓ QuasiNewtonMethods 14.8 s ✓ Octavian 16.4 s ✓ StrideArrays 14 dependencies successfully precompiled in 170 seconds. 56 already precompiled. Precompilation completed after 195.65s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_WDO0Uv/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_WDO0Uv/Manifest.toml` [79e6a3ab] Adapt v4.7.0 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.27.0 [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 v1.2.1 ⌅ [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 v0.5.6 [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 v1.11.0 [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 v1.14.0 [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 v1.5.5+2 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [458c3c95] OpenSSL_jll v3.5.7+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/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:2246 [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 = [-2.524647157997606e-13, -2.1971313657331848e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.1814550993658486e-12, -6.267875107823784e-12] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-2.36971664513419e-10, -4.598400549227222e-10, 4.031046607622102e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.1898394209074468e-10, 4.554117083443998e-10, 1.0212828360778303e-9] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [6.6138206022969825e-12, 7.501799181852675e-11, 1.4272139026161312e-11, 1.5617240833876167e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.0807356665718544e-11, 7.748246488858967e-12, 5.775580014244497e-11, 1.7141621455607492e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0062617405992569e-11, 7.224443265840819e-12, -2.1499024782656306e-11, 1.3750556249192414e-11, 1.3800072196090696e-12] QuasiNewtonMethods.optimum(state) .- 1 = [5.949907233571139e-12, 2.8872237933796896e-11, 1.0863754340562082e-11, 5.904610134166433e-11, 5.575540029667536e-13] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [2.316258296275464e-11, -4.5601966647268455e-11, 4.070743742090599e-12, 4.515254836690019e-11, -9.939438161410408e-11, -2.7962077098209193e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.3194378922776195e-10, -3.819722316222851e-11, -2.784406039069154e-11, 2.7319613238319107e-10, -7.178646566075031e-11, -6.034961419487672e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [8.132805540128629e-11, -2.495470496910457e-11, -3.8599901053260055e-11, 1.5450551948958946e-10, -5.341194153629658e-11, -8.292211362004309e-11, 8.08286770848099e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-5.2398863026326126e-11, 2.521516329068163e-11, -3.192857089828749e-11, -1.0756240342857382e-10, 4.3330894428095235e-11, -6.866285318096743e-11, 1.180366915320974e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-3.1796898447566946e-11, 6.352696146905146e-13, -1.0861334054368399e-10, 3.674838211509268e-13, -6.823097642438825e-11, -3.33200134150502e-12, -2.2254265097387815e-10, -4.587774604658534e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.9976353904382904e-11, 6.608824598686169e-11, 5.561662241859722e-11, 4.865263747433346e-11, -4.1150749474638815e-11, 1.34159128251099e-10, 1.1180900649776504e-10, 8.876321899720097e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-3.425359995645749e-11, -3.9385050776274966e-11, -2.310995839138741e-11, 1.5411671938636573e-11, -6.839184774065643e-11, -7.952949410139354e-11, -4.5383474756022224e-11, 2.83666423683826e-11, -4.98345809063494e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.401923270336283e-11, -6.51626530512317e-11, 7.333000873188666e-11, -2.631956874665775e-10, 9.478218210290379e-11, -1.2448020392241688e-10, 1.478643874008867e-10, -5.079242582084476e-10, 7.884137787073087e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-4.961253630142437e-11, -1.1186973569721204e-10, -8.844014409703504e-11, -5.983002981935215e-11, 2.8403501772800155e-11, -9.93644055924392e-11, -2.3571444796033347e-10, -1.7802814777923004e-10, -1.219717660205788e-10, 5.81543702082854e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.689393152621733e-11, -4.022471244979897e-11, -3.722855357324306e-11, -3.5412228704956306e-11, -2.950228950027167e-11, -4.977351863999502e-11, -7.841005622566399e-11, -7.471168128603267e-11, -6.697908894182092e-11, -5.944023051540626e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [1.0112577442100701e-11, -2.335842630429852e-11, 2.2970292334889564e-11, 3.3078872974101614e-11, -1.79910530917482e-11, 2.6968871580379528e-11, -4.557254573711589e-11, 4.3306691566158406e-11, 6.950662267968255e-11, -3.7206238090448096e-11, -8.915090887740007e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.4296896999610453e-11, 7.7982065249671e-13, 7.672751323184457e-12, -3.534528225657141e-11, 3.3161917656343576e-11, -2.8259616868808735e-11, 4.909406214892442e-13, 1.4852119534225494e-11, -6.80261402763449e-11, 6.922440398682284e-11, 1.0475620371153127e-11] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [5.907496714030458e-12, 7.084999253947899e-12, -1.2933876192278149e-11, -5.6607385445772707e-11, 5.4583004782671196e-11, 3.523670244476307e-11, 1.3177903213090758e-11, 1.5719425761062666e-11, -2.841427093613902e-11, -1.147537620482808e-10, 1.0428657937211483e-10, 7.152656245068556e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.342459642396989e-11, 2.42923459126132e-11, -1.5485956961214242e-10, -1.1361622753724987e-10, 1.6182899464922684e-10, 3.3891334183522304e-11, 6.282996345419178e-11, 4.5383030666812374e-11, -3.1168967407069204e-10, -2.2575130653734732e-10, 3.100595336036349e-10, 5.836975347506268e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-4.4322989722900275e-11, -2.8694824294461796e-12, 3.4178215813085444e-11, -3.5265124154193472e-12, -7.397649159912589e-11, -8.466705114784645e-11, -8.785228100549602e-11, -5.121680857200772e-12, 6.670797247920746e-11, -9.639955500517772e-12, -1.4431267292280836e-10, -1.5881196357980798e-10, 8.415490526658687e-14] QuasiNewtonMethods.optimum(state) .- 1 = [-1.268984917146554e-12, 6.13309403263429e-12, -4.977496192992703e-11, -2.0464629990613048e-11, 8.93107809929461e-12, 4.87514473235251e-11, -9.55335810459701e-12, 1.3013590205446235e-11, -1.0299250341461175e-10, -4.473421633122143e-11, 1.5727863456049818e-11, 1.0446776776973365e-10, 4.2299497238218464e-13] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [2.4074342519497804e-10, 1.5541901099425104e-10, -2.679428900975722e-10, -4.089639737969719e-11, -7.040101834832058e-11, -1.2487921807746716e-10, -3.450909558111448e-10, 4.742641834809547e-10, 3.134070780674847e-10, -5.429668936685061e-10, -6.032696564517437e-11, -1.401988525273623e-10, -2.5332858033522143e-10, -6.957301401655513e-10] QuasiNewtonMethods.optimum(state) .- 1 = [5.580647055580812e-12, -1.2754464151498723e-11, 8.420286690125067e-11, -4.5748960175728826e-11, -6.389810902618365e-11, 9.9262820185686e-12, -1.2068301913359392e-10, -1.4058754160828357e-12, -2.8040236799142804e-11, 1.8298673687411338e-10, -7.658329526094576e-11, -1.2397527449081736e-10, 4.867439784561611e-12, -2.2823110068515007e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-4.3918757519634255e-11, -2.1021584473146504e-10, -3.028620687572925e-10, -1.2792555903473612e-10, -3.9407144214465006e-11, 3.060443010127756e-10, 2.2814283795469237e-10, -9.381329046931342e-11, -4.0258263389603144e-10, -6.204008418109197e-10, -2.496077788904927e-10, -7.465872364775805e-11, 6.247573569595488e-10, 4.51134241075124e-10, 5.851141793300485e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.4485968808107827e-11, 1.5119683283160157e-11, -2.2284396550276142e-12, -6.825762177697925e-11, -4.0497605269251835e-12, 3.074052123963611e-11, -3.787015145917394e-11, 4.711719903127687e-11, 2.9422020375591273e-11, -3.938738224462668e-12, -1.3751821903440486e-10, -8.01758659463303e-12, 6.294298415809862e-11, -7.790790235162603e-11, 6.141975816831291e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-4.465594560798536e-11, 6.439515587430833e-12, 2.6868063329743563e-11, 3.908429135890401e-11, 1.8942403201549496e-11, -1.978861519091879e-11, 6.22437656971897e-11, 2.7181590311897708e-11, -8.725131728226643e-11, 7.751355113327918e-12, 5.7198246139478215e-11, 7.48356931978833e-11, 4.526135022331346e-11, -3.901401424144524e-11, 1.1662737442463822e-10, 5.855760321082926e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.1849321523982326e-10, -1.4193635156090068e-10, 2.5412338899855058e-11, -4.3998693577407266e-11, 3.15541592854629e-10, 1.1826983836726868e-11, 1.630660051432642e-10, -1.355416889836647e-10, 2.3823765182839907e-10, -3.0289659669335833e-10, 5.6431304074067157e-11, -7.710443394870481e-11, 6.244584849213197e-10, 2.743671956295657e-11, 3.150004701524267e-10, -2.7894653253923707e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [9.861955696521818e-11, -2.314558544824763e-10, -1.678700511931197e-10, 7.240497090776898e-11, -8.799727613251207e-11, -1.2496770285252978e-10, -5.3239079811362444e-11, -2.8742219715383044e-10, 2.0667134670304677e-10, -4.462923364201288e-10, -3.3364899731935793e-10, 1.5280332554823417e-10, -1.6201584518427126e-10, -2.416368216628939e-10, -9.044409665648345e-11, -5.678018055732537e-10, 1.1904033314635853e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.1997092208559934e-10, 3.3717939551536347e-10, 1.2832379603366917e-10, 2.8598035051174975e-10, -4.903566441782914e-11, -2.567279722143212e-12, 1.4900924938388016e-10, -1.9326762412674725e-12, 2.35326425013227e-10, 6.973257526965426e-10, 2.466640225406991e-10, 5.889562171290663e-10, -9.770018127852609e-11, -6.026956711480125e-12, 2.8382052263964397e-10, 4.818367926873179e-13, 3.871569731472846e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [6.018652243255929e-11, -6.445755040829226e-11, 1.2436651708469526e-10, 3.112443636155149e-11, -9.602096895378054e-12, -7.70949970529955e-12, 4.2051473414517204e-11, -6.359213156059695e-11, -5.6983751051120635e-11, 1.1172995861841173e-10, -1.2455991793558496e-10, 2.452493763627217e-10, 5.3859583459825444e-11, -2.0799140187932608e-11, -1.7713830402499298e-11, 7.888267816724692e-11, -1.2640022362120362e-10, -1.209001787572106e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.157374196480987e-10, 7.747047447992372e-11, -1.0338396805309458e-11, 8.331024758945205e-11, -5.3097415353420274e-11, -3.0520030946945553e-12, -2.1302648534060609e-10, 4.5739634302321974e-11, -1.7020629350383842e-10, 2.362350315365802e-10, 1.534210536391356e-10, -2.1112445125481827e-11, 1.689091089218664e-10, -1.054506482134343e-10, -1.5548673459875317e-12, -4.2976622260937347e-10, 1.017546047421547e-10, -3.3978619917718333e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2706891094893535e-10, -1.548972061726772e-11, 2.8441471400242335e-11, 1.274103045290076e-10, 8.474110302358895e-11, -2.6391111518364596e-12, -3.6485481302861444e-11, -4.158184907510076e-11, -3.1137536993242065e-11, -2.47329157154752e-10, -2.438460544595955e-11, 5.514855239141525e-11, 2.5429969241486106e-10, 1.6076007192111774e-10, -1.563138507520989e-11, -8.39498470739386e-11, -8.545442131691061e-11, -5.487099663525896e-11, 1.5986323376182554e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.6839174499239107e-10, 2.14519513264122e-11, 8.138600904317173e-11, -1.7725043655048012e-11, -4.093519967440784e-10, -2.9697466708000775e-11, 2.775819574196703e-10, 7.794098699775986e-11, -2.6734159330743523e-10, 3.359761358012747e-10, 4.674927112091609e-11, 1.6213674847165294e-10, -4.276723419849304e-11, -8.215045310677738e-10, -7.242262345386052e-11, 5.51282575145251e-10, 1.5406209641355417e-10, -5.255217372379661e-10, -4.4142467459096224e-13] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-8.066769474623925e-11, -1.2119716341629783e-10, -1.996279808125223e-10, 1.154296658256726e-10, -6.165845611860732e-12, -3.891642563758069e-11, 2.499178641812705e-11, 1.1171064073778325e-11, -1.0292844354609088e-10, 9.689715696481471e-11, -1.604545385447409e-10, -2.470833537771e-10, -4.035832779081261e-10, 2.3283086569847455e-10, -1.7787327166729483e-11, -7.435130289223935e-11, 5.841949146656589e-11, 2.6013191600782193e-11, -1.9219092983746577e-10, 1.868625254530798e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.145932403469942e-10, 4.864486591316108e-10, -7.685740932572571e-12, 1.6484036358122012e-9, 1.1363820995313745e-9, 1.879474353927435e-11, -3.3312607117252924e-9, -1.3832635037402952e-10, 4.746176784919953e-10, 5.0429216358338635e-11, 6.327514068260598e-10, 9.731662142797859e-10, -1.3633538742396922e-11, 3.3033762392165045e-9, 2.276066668471799e-9, 3.799738301779598e-11, -6.672459140766307e-9, -2.779719787682211e-10, 9.53585210794472e-10, 1.0096812275151024e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [7.008238434025316e-11, -1.1350254069952825e-11, -7.020495296217177e-12, -9.756384589110212e-11, -4.728806235476668e-11, -8.166245457630339e-12, -1.934863380625984e-11, 1.0077916279271903e-10, 1.7321610812359722e-10, -2.2784207853732141e-10, 1.200406440915458e-10, -3.772460122064558e-11, -2.4746205085079964e-11, -1.8942114543563093e-10, -1.0606882039354559e-10, 3.154809746774845e-12, -4.0452086125242204e-11, 1.848321495856453e-10, 3.2757685453077556e-10, -4.5794124048370577e-10, -1.5102918915488317e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.8723468875900835e-11, 1.2219514289313338e-10, 2.6513458095678288e-11, -3.1029168123808404e-10, 1.629774093458991e-10, -1.9877333112816586e-10, 3.132538672900864e-11, -3.9899639148188726e-11, 5.6848303842116366e-11, 6.892486581477897e-11, 9.143930057575744e-11, 2.4036928003567937e-10, 3.785327606919964e-11, -6.202128810528507e-10, 3.2488278733922016e-10, -4.006945886203539e-10, 6.349942793804075e-11, -7.273714963673683e-11, 1.1312706327260003e-10, 1.2553358352818123e-10, 9.14823772291129e-14] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [5.0703219400816124e-11, -2.8729241208225176e-12, 6.065015156764275e-11, -3.832856254604167e-11, -5.103328870603718e-11, -7.438893945277414e-11, -2.851940905657102e-11, -9.655720667467449e-12, -2.3549051597626658e-11, 3.283373573026438e-12, 1.2079892641736478e-11, 1.024624829426557e-10, -6.740941138616563e-12, 1.2203593691140213e-10, -7.769462850859554e-11, -1.024177409547633e-10, -1.4834078410075335e-10, -5.5917159791363247e-11, -2.0531576438997945e-11, -4.907885209348706e-11, 6.63047394766636e-12, 2.4805935083804798e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2218670519814623e-11, -8.970335585445355e-11, -3.282762950362894e-11, -1.0973089104027167e-10, -7.42546024667945e-11, -6.156619658526097e-11, -2.5501489808732458e-11, 4.0852876637131885e-11, -1.828859286234774e-11, 1.1364242880063102e-12, 1.1491918527894995e-11, -2.7824076376248286e-11, -1.9008805640652326e-10, -7.278799785126466e-11, -2.2800050736293542e-10, -1.4578416251964654e-10, -1.2507828106578245e-10, -5.406897152226975e-11, 7.741984831000082e-11, -4.2099101982273623e-11, 5.524913859744629e-12, 3.442157670008328e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [4.43258763027643e-11, 1.084847767174324e-10, -2.296829393344524e-12, 2.4025004208283463e-11, -1.096535084954553e-10, 8.200728984775196e-11, -3.3950953159944675e-11, -4.5153658589924817e-11, 2.2657875575760045e-11, 1.535016558307234e-11, -6.293277010627207e-11, 8.486544800234697e-11, 2.128694998049241e-10, -2.2528645615693677e-12, 4.708011758225439e-11, -2.1390322846315257e-10, 1.6470336205998137e-10, -6.568079413682426e-11, -8.86215545392588e-11, 4.4791281794687166e-11, 2.9995339545507704e-11, -1.2390155568198225e-10, -3.772315793071357e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.0847990828419825e-11, 1.7533752227905097e-11, -6.200784330445686e-11, -3.721256636168846e-11, 1.0274914252761391e-10, -3.035582896160349e-11, 3.486744226677274e-11, 1.4739987008738353e-11, -5.267264402419869e-11, 1.709121733028951e-11, -3.871014619960533e-12, 5.6415316862512555e-11, 3.127897940657931e-11, -1.2468426291434298e-10, -7.569767035420227e-11, 1.9871482237476812e-10, -6.050748790897842e-11, 6.579092826086708e-11, 2.8356206271951123e-11, -1.0573464326313342e-10, 3.567279804883583e-11, -1.1483258788302919e-11, -1.4657164371101317e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-4.66437999335767e-11, 4.604494563409389e-11, 8.735234757750732e-12, -5.431533001143407e-11, 3.1909808129171324e-11, -6.812661546007348e-12, 1.3450529579017712e-10, 5.108957701338568e-11, 4.353450933081149e-11, -6.962663778864453e-11, -5.17683673706415e-11, -7.025380277525528e-12, -9.161427172443837e-11, 9.004041956472975e-11, 1.7969181698163084e-11, -1.0531842065120145e-10, 6.124478701963199e-11, -1.1662781851384807e-11, 2.7272650804377463e-10, 1.0578404818772924e-10, 8.376854765401731e-11, -1.3697942780055428e-10, -9.937350942124112e-11, -1.775679603355229e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5195178448834668e-11, 8.105294213578418e-12, 1.836086838125084e-12, -1.6147083670148277e-12, -5.2806647943270946e-12, 2.0801582678586783e-11, -5.3473891981070665e-12, 4.849898260772534e-11, 5.974731820401757e-11, -1.4570455952878092e-11, 4.337130654619159e-11, -2.0053292359989427e-11, -3.026734418654087e-11, 1.3392620346053263e-11, 8.303802090381396e-12, -5.767164523717838e-12, -8.55115978026788e-12, 4.1628256397530095e-11, -1.5029422151258132e-11, 9.711986770355452e-11, 1.0958967067153935e-10, -3.115574465084592e-11, 8.720557609365187e-11, -3.931233116816202e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m50.2s Method ambiguity | 1 1 10.2s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.6s Stale dependencies | 1 1 7.2s Compat bounds | 3 1 4 13.2s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.6s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 12.4s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m09.3s RNG of the outermost testset: Random.Xoshiro(0x7fe40c29e9439ea9, 0xfb8d0e505432b783, 0x498c683b4dcbc587, 0x69d07471fc5ad199, 0xc6fc6f6151525c04) 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 313.36s 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] 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 [8] include(mod::Module, _path::String) @ Base Base.jl:325 [9] exec_options(opts::Base.JLOptions) @ Base client.jl:355 [10] _start() @ Base client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 547.59s: package has test failures