Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2407 (ce8c59448a*) started at 2026-06-18T18:34:03.849 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.42s ################################################################################ # 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 v4.6.1 [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 v0.12.174 [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 v1.0.1 ⌅ [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 v1.5.3+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 To see why use `status --outdated -m` Installation completed after 4.48s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.0 s ✓ StaticArrayInterface 1.1 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.4 s ✓ LayoutPointers 1.3 s ✓ CloseOpenIntervals 17.5 s ✓ VectorizationBase 2.0 s ✓ StrideArraysCore 3.4 s ✓ SLEEFPirates 4.0 s ✓ VectorizedRNG 38.6 s ✓ LoopVectorization 4.1 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 42.3 s ✓ VectorizedStatistics 13.1 s ✓ QuasiNewtonMethods 14.0 s ✓ Octavian 15.1 s ✓ StrideArrays 14 dependencies successfully precompiled in 162 seconds. 56 already precompiled. Precompilation completed after 186.55s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_YBsj5r/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_YBsj5r/Manifest.toml` [79e6a3ab] Adapt v4.6.1 [4c88cf16] Aqua v0.8.16 [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 v0.12.174 [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 v1.0.1 ⌅ [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 v0.5.6 [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 v1.5.3+0 [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 = [-3.931022174441523e-11, -7.572220628304649e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1125544929768694e-12, -1.4473977572038166e-12] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [1.996514065183419e-11, 4.15005807496982e-11, -1.3906453766310278e-10] QuasiNewtonMethods.optimum(state) .- 1 = [5.17852427606158e-11, 9.533773770442622e-11, 7.9845019484992e-12] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-6.0322857819983255e-12, 1.6782131240233866e-12, -1.2017165040845157e-11, 3.425260075573533e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.106448266341431e-12, -6.343703340405682e-12, 2.5910384948701903e-12, -1.2576717445256236e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [7.69939667577546e-12, 2.635736073841599e-11, 1.800559701337079e-11, 5.618394638418067e-11, -1.5354051363658527e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.9479973190072997e-11, -7.85072007403187e-12, -3.795130876227404e-11, -1.4919288027215316e-11, -2.616795669041494e-13] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [1.710975805480075e-10, 1.952771278013188e-11, 5.679345882469988e-11, 3.3490921147460995e-10, 4.1561643016052585e-11, 1.1466450011710094e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.6120939572725774e-10, 2.4607582638225267e-10, -2.0196733174770998e-11, -7.287194181415657e-10, 4.91042095873695e-10, -5.817824000331484e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0172751530035384e-11, 3.867572928584195e-12, 1.1437517599688363e-12, -2.1216139955981816e-11, 7.823519609928553e-12, 1.6511236822225328e-12, -2.4091839634365897e-14] QuasiNewtonMethods.optimum(state) .- 1 = [2.3860913245243864e-12, 5.885536502603372e-11, -9.736134121141049e-11, 2.3425705819590803e-13, 1.129005777755765e-10, -1.9682400154152901e-10, 6.325895363090694e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [6.463407586920766e-11, 6.005484998183874e-11, 1.2867684695549997e-10, -1.9947821172650038e-11, 1.254421011509521e-10, 1.2525380732597569e-10, 2.6164892474866974e-10, -4.209421700096527e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.7084356151997326e-10, -7.154943304499284e-12, 1.551063721905166e-10, 1.5086487614723865e-10, -3.4141611759963553e-10, -2.4645174789839075e-11, 3.1120661603267763e-10, 2.792372999493864e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-4.322087132635488e-11, 6.646638794904902e-11, 8.389400285579995e-11, 1.0022671581566556e-10, -8.625145042628901e-11, 1.2730083653877955e-10, 1.7544454777862484e-10, 1.9804535789091915e-10, 8.645084648151169e-12] QuasiNewtonMethods.optimum(state) .- 1 = [6.357736559436944e-11, 8.591127809154386e-12, -1.9797607997418254e-11, -1.7765677817749292e-11, 1.157960394237989e-10, 1.6274981362585095e-11, -4.870992498240412e-11, -3.549749383324752e-11, -5.405675906899887e-13] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-3.5821345889530676e-12, -2.470101900797772e-11, -1.2916645530935966e-10, -6.601363899960688e-11, 3.913980251013527e-11, -1.8920420785661918e-12, -4.722111590638178e-11, -2.6003443842625984e-10, -1.3339895854613815e-10, 7.916267641405739e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.339528736352349e-12, -8.802869544410896e-11, 4.2577941172794453e-11, -5.835076866134159e-11, 7.941447499604237e-11, -8.01358979174438e-13, -1.738571508980158e-10, 8.498468595519171e-11, -1.1091927376583044e-10, 1.619449019329977e-10] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [4.147526766473675e-11, -1.9902746117850256e-11, -2.2396973164973133e-11, -6.458233947626013e-11, 1.9090284908429567e-11, 8.500555814805466e-11, -4.068889669639475e-11, -4.257560970444274e-11, -1.309825581330415e-10, 3.9474201685152366e-11, -1.0822454044046026e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.410915994095376e-11, 6.15536510650827e-11, -1.704969498916853e-11, -6.908695837637424e-12, 5.087641419265765e-11, 6.557576703869472e-11, 1.2500755985911383e-10, -3.821010174931416e-11, -1.19634302464533e-11, 1.0104472814020937e-10, 1.6275869541004795e-13] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [4.2171599545781646e-11, -2.16312856515799e-10, -1.9575907561630856e-10, 1.3636647366865873e-11, 3.7027048094273596e-11, -9.303002812544037e-11, 1.0848322240519792e-10, -4.256397456714467e-10, -3.9328929002380164e-10, 7.396749879262643e-12, 8.515987914847756e-11, -1.8252588329659147e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.643219059767944e-11, -2.050748459936358e-11, -4.961908661726966e-11, 1.741118360598648e-11, -2.3746782318312398e-11, 2.119993069982229e-11, 7.635581056320007e-11, -4.1079251111852955e-11, -9.5443541958673e-11, 3.572564466480799e-11, -4.575895218295045e-11, 4.73436845283004e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [3.08353342859391e-11, 2.157163336846679e-11, 1.5166756739404263e-11, 4.6627146588207324e-12, -1.5795253993644565e-11, 1.495426005249101e-11, 6.300848731655151e-11, 4.30750990432216e-11, 3.4612090971108955e-11, 5.382805312592609e-12, -3.182676344692936e-11, 2.9756641595213296e-11, 7.288392112059228e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.0971446801354432e-11, -3.994227171233433e-11, 6.430900256759742e-11, 7.906320043105097e-11, 1.761635282093721e-11, 3.2686964246408934e-11, 4.3590908660462446e-11, -8.045941690681957e-11, 1.2606582444618653e-10, 1.5985679446828271e-10, 4.080447091325823e-11, 6.335509894483948e-11, 1.744160371686121e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [9.726219829531146e-12, -2.0588197813253828e-11, -1.4037193629690137e-10, -1.5920931240032132e-11, -1.3493473005610213e-10, -2.0383805754420337e-11, -1.9300672171596034e-11, 2.3884894062575768e-11, -3.18310933167254e-11, -2.755448091917856e-10, -3.200195664021521e-11, -2.673449239765091e-10, -3.58011398304825e-11, -3.726496888845077e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.257505376552672e-11, -9.890754881780595e-12, -3.6874725495295024e-11, -7.406408819576882e-12, -2.005728916287808e-12, -6.015410392024023e-12, 9.11248854151836e-12, 6.628120274854155e-11, -2.127675813312635e-11, -7.19247994496186e-11, -1.5355716698195465e-11, -1.0335066136235582e-12, -1.1099121621782615e-11, 1.73678849080261e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [6.629519155865182e-11, -2.244798791295466e-10, 1.6002754676947006e-11, 1.0802603256365728e-10, -1.0930900629091411e-10, -1.8140045021652895e-11, 3.913980251013527e-12, 1.4284684546339577e-10, -4.434308475964599e-10, 2.980660163132143e-11, 2.1601653799052656e-10, -2.1470436539772209e-10, -2.5364932376703564e-11, 7.368772259042089e-12, 8.79296635503124e-14] QuasiNewtonMethods.optimum(state) .- 1 = [-1.8472667839830592e-11, 1.4026113603904378e-11, -1.4081291688228248e-11, -1.8458123918208003e-11, -9.774403508799878e-12, 2.4000801346346634e-11, -1.7015833186917462e-11, -3.439526441439966e-11, 2.858246972436973e-11, -2.549804811735612e-11, -3.604039289228922e-11, -1.9845458609779598e-11, 4.9173998206697433e-11, -3.170652629336246e-11, 2.3634427748220332e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-8.986478228223405e-12, -7.76814168546025e-11, -3.7225222904169186e-11, -5.879163822442024e-11, -4.884814774896995e-11, -4.8714254852200156e-11, -3.6324054875080947e-11, 1.2192025167223619e-11, -1.1762923968205996e-11, -1.6209289466218024e-10, -7.721978612096336e-11, -1.1399825528002339e-10, -1.038675812026213e-10, -9.916822918398793e-11, -7.311862226799803e-11, 2.3986368447026507e-11] QuasiNewtonMethods.optimum(state) .- 1 = [6.10347328233729e-11, 1.5079848481036606e-10, 9.14512909844234e-12, -1.7917078931617425e-10, -3.680999949295938e-11, -1.8145818181380946e-11, 5.826250593088389e-11, 9.979705950513562e-11, 1.3130119214110891e-10, 2.920748087831271e-10, 1.744782096579911e-11, -3.5676728238343003e-10, -6.027556231913422e-11, -4.485822824307206e-11, 1.1251599651984634e-10, 2.0277801660029127e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8052859207529082e-10, -5.3285487133791776e-11, -3.676026150145617e-11, -3.453903829608862e-12, 4.066946779346381e-11, 5.118350188126897e-11, -3.310873797346403e-11, -9.009470947063392e-11, -3.648898960761926e-10, -1.0716283416201122e-10, -7.913436572692945e-11, -1.1053935544680371e-11, 7.706124627304689e-11, 1.0402767536277224e-10, -6.409139885477089e-11, -1.7821255582362028e-10, -7.194356221873477e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.313260694108976e-12, 1.6785905998517592e-11, -9.697909142403205e-12, -1.1227019314219433e-11, 6.410205699580729e-12, -3.158917571965958e-12, 8.069322987580563e-12, -1.0691780794047645e-11, 4.8256953988357054e-12, 3.47437634218295e-11, -1.728184262361765e-11, -2.080446925845081e-11, 1.3388623543164613e-11, -4.341638160099137e-12, 1.7200907365122475e-11, -2.066857796023669e-11, -1.6519008383397704e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [1.2180700892372442e-10, -1.5273848852359606e-10, 8.585354649426336e-12, 1.0061729227572869e-11, 3.1199931527226e-11, -4.355804605893354e-11, 1.576982988638065e-11, -5.6798787895218084e-11, 3.532552028673308e-11, 2.437952062450677e-10, -3.0451963173305785e-10, 9.559242286627523e-12, 2.110467356430945e-11, 6.02469185650989e-11, -9.472700401857992e-11, 3.729550002162796e-11, -1.1681500211579987e-10, 7.246003796979039e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-6.585076928189437e-11, -2.577024149630347e-10, 6.27866647562314e-11, 2.339355376079766e-10, -1.3954393196513593e-10, 2.2429658130818098e-10, -1.6483370224307237e-10, 1.2955192474350952e-10, 1.5950929466157504e-10, -1.1096723540049425e-10, -5.061733254763112e-10, 1.1825518342334362e-10, 4.4693959644348524e-10, -2.943888466333533e-10, 4.447304746690861e-10, -3.401235959543669e-10, 2.7215651954293207e-10, 3.2391866966463567e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [4.0969894143927377e-11, -6.652878248303296e-11, 2.2566704060977827e-10, -1.3318235403403378e-11, -3.941735826629156e-11, -1.2267287186062958e-10, -6.21714901782866e-11, 1.384428127693127e-10, 3.529709857730268e-11, 8.391243255800873e-11, -1.3540835119840722e-10, 4.6026982225555457e-10, -2.6193935909191168e-11, -7.420963843429718e-11, -2.460390780001376e-10, -1.2294021356495932e-10, 2.557958289628459e-10, 6.45066222659807e-11, 2.2872814753327475e-12] QuasiNewtonMethods.optimum(state) .- 1 = [8.144596108650148e-12, 1.1648415565446157e-10, 3.7831515697916984e-11, 4.0354608543680115e-11, -6.645350936196337e-12, 7.208367236444246e-11, 4.296563105299356e-13, -1.1121237264433148e-10, -3.8576919436650314e-11, 1.7482015834957565e-11, 2.368265583641005e-10, 8.306488830100989e-11, 7.508704769065844e-11, -1.553335238213549e-11, 1.4188006325355218e-10, 1.878497357665765e-12, -2.182576341880349e-10, -8.32686142260286e-11, 2.7964297544258443e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [1.41747280579807e-10, 3.880762378116742e-11, -1.474111943622347e-10, -1.659193893388533e-10, 6.620992643036061e-11, -2.1434964914135435e-11, -3.826461369982326e-10, 1.5877343884085349e-10, 1.5995405000523988e-10, -4.4644854479969354e-10, 2.8190072498546215e-10, 9.529088629278704e-11, -3.0081470647758124e-10, -3.2208269384881305e-10, 1.4889889321523242e-10, -2.95264923622085e-11, -7.805809332239733e-10, 3.2302360786218287e-10, 3.0757152380544994e-10, -8.853716648715704e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.296918293926865e-11, -8.871348100569776e-12, -6.1670668571878196e-12, -3.974010009955009e-11, -1.0248579762617283e-11, 1.5756573823466624e-10, 5.724531959572232e-12, 6.112532702218232e-11, 4.0603076456591225e-12, -1.5746681736317214e-10, -7.270017921001681e-11, -1.1587064641105371e-11, -1.1567302671267043e-11, -7.911649113623298e-11, -2.3398838422394874e-11, 3.115125934982643e-10, 1.6913137557139635e-11, 1.2313527975038596e-10, 8.253175920458489e-12, -3.1878255590811477e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [1.464974808129682e-10, 8.212142077468343e-11, -1.1273504352260488e-10, 1.4535794790049295e-10, -8.982647958788448e-11, 1.3151613131867634e-10, -2.4333202119919406e-11, 1.0861134214223966e-10, 1.4429435424290205e-10, 1.6882961695330323e-10, 3.043731933161098e-10, 1.739388633126282e-10, -2.1854262843845618e-10, 2.813327348860639e-10, -1.8605816887173887e-10, 2.784514840925567e-10, -4.547673349009074e-11, 2.0691315327781012e-10, 2.8711766297817576e-10, 3.3916269792655385e-10, -1.962097151420039e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.115907697472721e-12, -2.009226118815377e-11, 4.807709785836778e-12, -6.269651464663184e-12, 1.1410872247097359e-12, -1.1219580819954444e-11, 3.517186542012496e-12, 5.581535234000512e-12, 3.963718242516734e-12, -1.0768164138141856e-11, -1.0680678563801393e-11, -4.077549409231551e-11, 9.232170583572952e-12, -1.2959744388751915e-11, 1.588507103633674e-12, -2.206490545830775e-11, 6.87760959294792e-12, 1.2430945162122953e-11, 7.820633030064528e-12, -2.0360380048600746e-11, -1.8693935288638386e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-1.594469001275911e-11, -2.8783975203339196e-11, -1.0167977571029496e-11, 4.9468429352828025e-11, 4.298339462138756e-11, 8.65707505681712e-12, 6.105116412413736e-12, 9.000444833873189e-11, -1.1312173420208183e-10, 2.0751844687083576e-11, -3.611499987954403e-11, -3.285083316484361e-11, -6.185019163496008e-11, -2.0158097413514042e-11, 9.595102490322915e-11, 8.477374358051293e-11, 2.0013768420312772e-11, 1.3684831046134605e-11, 1.7230172844051594e-10, -2.2724966353138143e-10, 3.589883945664951e-11, -7.340317242920946e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.144640434830762e-11, 1.169668806255686e-10, -5.026490335069411e-11, 1.074762501218629e-10, 1.841349295261807e-11, -5.0260795525503e-11, 6.030953514368775e-11, -1.1022016632722398e-10, 2.5438096074026362e-11, 1.2559353557151098e-10, -1.982525255073142e-12, 1.3832468503949258e-10, 2.329003656598161e-10, -1.0198386579673979e-10, 2.1758594925813668e-10, 3.2417402096029946e-11, -1.104816238495232e-10, 1.2092016277165385e-10, -2.169615598290875e-10, 4.9993120754265874e-11, 2.425244449710817e-10, -4.388600594040781e-12] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [2.8429480991576384e-11, 5.21471754666436e-12, 3.058375774855904e-11, -4.5318193642174265e-12, 6.368905403064673e-12, 1.3951950705859417e-11, -1.5285106513829305e-11, -1.95048421858246e-11, -4.953260024365136e-12, -2.0040413772903776e-11, -1.852296094284611e-12, 5.780353973250385e-11, 1.0792478022381147e-11, 6.46849240837355e-11, -9.241940546189653e-12, 9.024114788758197e-12, 2.617550620698239e-11, -2.949074318081557e-11, -3.76919606637216e-11, -1.141930994208451e-11, -3.957489891348587e-11, -2.1156409957256983e-12, -3.519406988061746e-13] QuasiNewtonMethods.optimum(state) .- 1 = [3.3198555016156206e-11, 4.849853851851549e-11, -4.473266201898696e-11, -3.552713678800501e-12, 4.470845915705013e-11, -2.7883251263460807e-12, 1.2035483720751472e-11, -1.982836117520037e-11, 3.000266701747023e-12, -7.968181670037211e-12, -5.286326931752683e-12, 6.39930330947891e-11, 9.665201972097748e-11, -8.692213615546507e-11, -7.853273586988507e-12, 8.92212970171613e-11, -6.880940262021795e-12, 2.6681989950816387e-11, -4.1285419527525846e-11, 3.391065206415078e-12, -1.6757928378297038e-11, -7.506328891793146e-12, -7.879252805764736e-13] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8394730183501906e-11, 1.3089684891554043e-10, -1.5769630046236216e-10, -9.315459514880331e-11, -4.543576626048207e-11, 2.1976864772454974e-11, 8.536860107710709e-11, 1.387985282264026e-10, 6.625811010962934e-11, -1.0633316449570884e-10, -1.939771676617852e-10, -3.158562300598078e-11, -5.99125193900818e-11, 2.4123147923660326e-10, -3.249179814091008e-10, -1.7003154439976242e-10, -9.822076485477282e-11, 3.313305185770332e-11, 1.6736723118526697e-10, 2.5389867985836645e-10, 1.3261325371161092e-10, -2.2247781394924004e-10, -3.8635883381488156e-10, -4.959477273303037e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.8734514767592145e-10, -1.84464332697587e-10, 9.819611790362615e-11, 1.2710721364328492e-10, -1.3110401653193549e-11, -1.0161049779355835e-10, 1.7570478405559697e-10, -9.190082028709412e-11, 6.566081012238101e-11, -2.965107048780169e-10, -3.4383051961128785e-11, -3.6152303373171435e-11, -5.595692798010532e-10, -3.8030878446448924e-10, 2.0927948263249618e-10, 2.594866543859098e-10, -3.5110359064560726e-11, -2.024364009756141e-10, 3.5546454668633487e-10, -1.9304169374123603e-10, 1.4015655303012409e-10, -5.8683513604052e-10, -6.766853744011314e-11, -7.401690371722225e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m25.4s Method ambiguity | 1 1 9.6s 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 6.7s Compat bounds | 3 1 4 12.1s 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 11.4s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m01.3s RNG of the outermost testset: Random.Xoshiro(0xaee96cdc9f4122e5, 0x7de4dfef6cf08498, 0xf29660a8942f72f4, 0xc490fb3ff02ddf23, 0x457eceb55c410966) 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 285.95s 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 510.09s: package has test failures