Package evaluation of VibrationGEPHelpers on Julia 1.13.0-DEV.733 (c0ecfe9bcc*) started at 2025-06-12T14:20:10.845 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.14s ################################################################################ # Installation # Installing VibrationGEPHelpers... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [3f428ce3] + VibrationGEPHelpers v0.1.3 Updating `~/.julia/environments/v1.13/Manifest.toml` [79e6a3ab] + Adapt v4.3.0 ⌅ [ec485272] + ArnoldiMethod v0.2.0 ⌅ [7d9fca2a] + Arpack v0.5.3 [d360d2e6] + ChainRulesCore v1.25.1 [34da2185] + Compat v4.16.0 ⌅ [46192b85] + GPUArraysCore v0.1.6 [692b3bcd] + JLLWrappers v1.7.0 ⌅ [0b1a1467] + KrylovKit v0.6.1 [7a12625a] + LinearMaps v3.11.4 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [ae029012] + Requires v1.3.1 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [f42569b2] + SubSIt v1.1.8 [3f428ce3] + VibrationGEPHelpers v0.1.3 ⌅ [68821587] + Arpack_jll v3.5.1+1 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [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 v1.3.0+1 [deac9b47] + LibCURL_jll v8.12.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 1.76s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 33.8s ################################################################################ # Testing # Testing VibrationGEPHelpers Status `/tmp/jl_N6KiIY/Project.toml` [aa547a04] DataDrop v0.1.5 [8bb1440f] DelimitedFiles v1.9.1 [10745b16] Statistics v1.11.1 [3f428ce3] VibrationGEPHelpers v0.1.3 [37e2e46d] LinearAlgebra v1.12.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_N6KiIY/Manifest.toml` [79e6a3ab] Adapt v4.3.0 ⌅ [ec485272] ArnoldiMethod v0.2.0 ⌅ [7d9fca2a] Arpack v0.5.3 [d360d2e6] ChainRulesCore v1.25.1 [34da2185] Compat v4.16.0 [aa547a04] DataDrop v0.1.5 [8bb1440f] DelimitedFiles v1.9.1 ⌅ [46192b85] GPUArraysCore v0.1.6 [f67ccb44] HDF5 v0.17.2 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 ⌅ [0b1a1467] KrylovKit v0.6.1 [7a12625a] LinearMaps v3.11.4 [3da0fdf6] MPIPreferences v0.1.11 [69de0a69] Parsers v2.8.3 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [ae029012] Requires v1.3.1 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [f42569b2] SubSIt v1.1.8 [3f428ce3] VibrationGEPHelpers v0.1.3 ⌅ [68821587] Arpack_jll v3.5.1+1 [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.1+0 [7cb0a576] MPICH_jll v4.3.0+1 [f1f71cc9] MPItrampoline_jll v5.5.3+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [fe0851c0] OpenMPI_jll v5.0.7+2 [477f73a3] libaec_jll v1.1.3+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.12.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... 6559.6 ms ✓ KrylovKit 1079.0 ms ✓ LinearMaps → LinearMapsChainRulesCoreExt 5262.6 ms ✓ VibrationGEPHelpers 3 dependencies successfully precompiled in 14 seconds. 55 already precompiled. [ Info: Method KrylovKit [ Info: Input unit_cube_modes-h20-n1=3 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Input unit_cube_modes-h8-n1=3 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Input unit_cube_tet-16 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Method Arpack [ Info: Input unit_cube_modes-h20-n1=3 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Input unit_cube_modes-h8-n1=3 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Input unit_cube_tet-16 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Method SubSIt [ Info: Input unit_cube_modes-h20-n1=3 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Input unit_cube_modes-h8-n1=3 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Input unit_cube_tet-16 [ Info: Number of eigenvalues 3 [ Info: Number of eigenvalues 6 [ Info: Number of eigenvalues 9 [ Info: Number of eigenvalues 12 [ Info: Number of eigenvalues 17 [ Info: Number of eigenvalues 20 [ Info: Method ArnoldiMethod [ Info: Input unit_cube_modes-h20-n1=3 [ Info: Number of eigenvalues 3 history = Converged: 3 of 3 eigenvalues in 16 matrix-vector products d = [3.150399503656141, 0.394784176043499, 0.3947841760431446] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18385110681319267, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((8.10708779396757e-13, 4.0833325992239576e-13), 2.7556153276125666e-9) (r, orthogonality_tol) = ((9.992007221626409e-16, 0.7695472710783172), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products d = [3.1503995036565184, 1.0519352822707952, 1.0199480239965208, 0.6030299143300977, 0.39478417604376365, 0.3947841760428601] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2282210700407822, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.14379597440488887, 0.4741726506668255), 2.7556153276129442e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.9872931637036477), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products d = [5.608341521460258, 5.499557496838327, 3.150399503656339, 3.150399490965822, 0.47564425838083785, 0.39479671218953016, 0.3947841760467808, 0.3947841760436666, 0.39478417604284066] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.19800717084940808, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.1126888910955044e-6, 0.0003430913467480853), 5.213557345416685e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.07510950997393391), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products d = [6.981947216893704, 6.934229774844653, 5.608341521460259, 5.515259612909916, 5.49955749683833, 3.1503995036580923, 3.1503995036561063, 0.3947844388478312, 0.39478417630938445, 0.394784176043874, 0.39478417604338106, 0.3947841760428158] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20071676098247332, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.661119819613589e-6, 0.035433732292141674), 6.5871630408501305e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.012858736826279818), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 64 matrix-vector products d = [6.981947216893959, 6.959749042256065, 6.934229774844645, 5.608341521460264, 5.608336166998357, 5.60454282826097, 5.500718794236928, 5.499557496838397, 5.499555687419659, 3.1503995036565606, 3.1503995036561028, 0.39479509627122944, 0.3947841760439914, 0.3947841760436093, 0.39478417604341093, 0.394784176042978, 0.3947841760427923] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0006107190461829997, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.562076898349159, 0.00165801132887183), 6.587163040850385e-9) (r, orthogonality_tol) = ((1.3322676295501878e-15, 0.0012961903743725334), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products d = [10.868069474659501, 9.17043378906157, 9.170427809371773, 8.842825938937871, 8.842824483076852, 6.981947216893916, 6.981947216893642, 6.934229774844661, 5.60834152146026, 5.608341521460143, 5.499557496838173, 5.499557496838082, 3.150399503656562, 3.150399503656095, 0.39478417604399174, 0.39478417604372146, 0.3947841760435906, 0.39478417604339805, 0.39478417604297583, 0.3947841760427922] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.07847414319989159, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.884241273825223, 4.918130457652005), 1.0473285298615927e-8) (r, orthogonality_tol) = ((1.3322676295501878e-15, 0.9634375805910512), 1.0e-9) [ Info: Input unit_cube_modes-h8-n1=3 [ Info: Number of eigenvalues 3 history = Converged: 3 of 3 eigenvalues in 14 matrix-vector products d = [3.705502795957458, 0.39478417604324245, 0.3947841760432268] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.16641872265064794, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.1521986252820034e-13, 4.6183952367382514e-14), 3.3107186199138834e-9) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.975131570268609), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products d = [3.7055027959574387, 1.0075116598433524, 0.639913944830098, 0.4049059063206064, 0.3947841760432884, 0.39478417604315413] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.186965488204419, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.9016233960658412, 0.6095252462081868), 3.3107186199138644e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.993923752955016), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products d = [6.812550809525674, 6.811378992869969, 3.7085824728440224, 3.705502795957445, 1.4958335329398924, 0.5321017915967495, 0.39478417604326355, 0.3947841760432582, 0.39478417604313976] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2057033777846497, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.861734648821736, 1.7891566051746621), 6.417766633482101e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.9926175086243966), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products d = [13.240336838389258, 10.39164820519727, 8.3938364404183, 6.8125508095256855, 6.811378992869948, 3.705502795957446, 3.7055027959574214, 0.5109401481002381, 0.39478417604333277, 0.39478417604323623, 0.3947841760432355, 0.39478417604311355] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21493499562608806, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.121147867408581e-13, 2.2160819115597077), 1.2845552662345684e-8) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.999662087365658), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products d = [18.182902918639996, 13.24033683838928, 10.391648205197235, 8.393836440418337, 8.393836440418264, 6.8125928990683, 6.812550809525701, 6.81174913128255, 6.81137899286993, 3.705502795957454, 3.705502795957399, 0.3947841760444075, 0.3947841760433507, 0.3947841760432962, 0.39478417604323696, 0.394784176043176, 0.3947841760431023] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.1284120804011922, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.0234482412415673e-13, 2.126555744968596), 1.7788118742596423e-8) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.2658509626746075), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products d = [13.240336838389197, 10.391648205197225, 8.393836440418342, 8.393836440418283, 6.946177842161347, 6.812550809589837, 6.812550809525676, 6.812550809525581, 6.8120369747438305, 6.811378992919562, 6.811378992869998, 6.811378992869924, 3.7055027959574587, 3.7055027959574174, 0.3947841760433515, 0.3947841760432958, 0.39478417604323646, 0.3947841760431763, 0.3947841760431573, 0.39478417604310334] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.14044011629174172, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((20.774385135107448, 1.484440688922529), 1.2845552662345625e-8) (r, orthogonality_tol) = ((7.771561172376096e-16, 0.18557707086547157), 1.0e-9) [ Info: Input unit_cube_tet-16 [ Info: Number of eigenvalues 3 history = Converged: 3 of 3 eigenvalues in 21 matrix-vector products d = [0.3947841760453465, 0.3947841760448752, 0.39478417604463695] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.6291621035415583e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((5.405380248647771e-13, 1.743525071812387e-12), 1.0e-9) (r, orthogonality_tol) = ((1.1102230246251565e-16, 0.9889758636833028), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products d = [3.0767303756385544, 3.051076247965544, 0.41311787020866114, 0.3947841760469123, 0.3947841760445848, 0.39478417604325766] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.26061717091709496, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.0694557179012918e-13, 6.99249480045588e-9), 2.6819461995949804e-9) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.5223573817524364), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 50 matrix-vector products d = [5.278913020333474, 3.0767303756385593, 3.051076247965543, 0.39497864349805245, 0.39488485513314153, 0.3948148098938773, 0.3947841760469062, 0.39478417604456845, 0.3947841760432809] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0020342372225973667, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.0037478946231326304, 0.010114001380945262), 4.8841288442899e-9) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.543587616029309), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 45 matrix-vector products d = [5.323997145998085, 5.298593312056129, 5.283785701765422, 3.076730375638563, 3.0510762479655433, 1.8102712624465946, 0.4875022880357967, 0.39478424648414645, 0.39478420941876047, 0.39478417604733257, 0.3947841760446699, 0.39478417604274446] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.08835411290955107, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.306097205395391, 0.8958589547345911), 4.929212969954511e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.6328979821531785), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products d = [6.890571626976362, 6.885964428292924, 6.697866727788195, 5.452181915019904, 5.441836961304768, 5.438341233001254, 5.3239492276120375, 5.298268466789263, 5.282518730997709, 3.0767303756385607, 3.05107624796554, 0.39478417604733496, 0.39478417604603716, 0.3947841760449092, 0.39478417604446814, 0.39478417604410954, 0.39478417604273974] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.1736423705662207e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.57514107784573e-13, 3.029184015370499e-10), 6.495787450932788e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.7242170423218912), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 75 matrix-vector products d = [8.543903874023535, 8.51303369639778, 8.494947147522128, 6.890571626976329, 6.88596442829291, 6.697866727788122, 5.452181915019937, 5.441836961304791, 5.438341233001276, 5.32394922761206, 5.298268466789277, 5.282518730997725, 3.076730375638557, 3.051076247965535, 0.39478417604733523, 0.39478417604564575, 0.39478417604531124, 0.39478417604464866, 0.3947841760439199, 0.394784176042738] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.1305348076699811e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.5769781396277393e-13, 2.2648736375946443e-8), 8.149119697979961e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.7106859908374771), 1.0e-9) Testing VibrationGEPHelpers tests passed Testing completed after 225.3s PkgEval succeeded after 291.29s