Package evaluation of VibrationGEPHelpers on Julia 1.13.0-DEV.417 (813bcf3aa6*) started at 2025-04-22T00:01:06.422 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.27s ################################################################################ # 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 v1.12.0 [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 v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.0.16+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 1.71s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 32.73s ################################################################################ # Testing # Testing VibrationGEPHelpers Status `/tmp/jl_9xncMQ/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_9xncMQ/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 v2.8.2 [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 v2.12.0+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 v1.12.0 [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 v2024.12.31 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.0.16+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... [ 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 15 matrix-vector products d = [3.1503995036562116, 0.3947841760434657, 0.39478417604311594] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18385110681319702, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.539038854411742e-13, 1.9207625410503523e-13), 2.7556153276126374e-9) (r, orthogonality_tol) = ((1.3322676295501878e-15, 0.7549332777007928), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products d = [3.1503995036562835, 0.9483934483275223, 0.9012347901477571, 0.6617336993168209, 0.39478417604383614, 0.3947841760428634] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.223782680525272, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.12771278147865955, 0.42265568917553686), 2.7556153276127093e-9) (r, orthogonality_tol) = ((9.992007221626409e-16, 0.9945305543573943), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products d = [5.60834152146025, 5.499557496838413, 3.1503995036561276, 3.1503994238097515, 0.7215151724692062, 0.39479601670214354, 0.3947841760454156, 0.39478417604381005, 0.39478417604285354] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20548176267453103, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((9.520353907555013e-6, 0.0009650656865420448), 5.2135573454166765e-9) (r, orthogonality_tol) = ((1.4432899320127035e-15, 0.16029801194603982), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products d = [6.981947216893953, 6.93422977484466, 5.608341521460265, 5.568423094677907, 5.4995574968383805, 3.1503995036564643, 3.1503995036562142, 0.3947844124979243, 0.3947841762860103, 0.39478417604386945, 0.39478417604338667, 0.39478417604280663] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20072344109810536, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((5.8263334867803e-7, 1.7317032246552668), 6.5871630408503794e-9) (r, orthogonality_tol) = ((1.5543122344752192e-15, 0.6284270548587261), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 64 matrix-vector products d = [6.981947207400741, 6.934229774844655, 5.654624095693091, 5.60834152146026, 5.608340209269094, 5.547217000974371, 5.521248865859384, 5.499557496838439, 5.499557408033325, 3.150399503656562, 3.150399503656095, 0.39479019834308904, 0.394784176043991, 0.394784176043663, 0.39478417604341687, 0.3947841760429796, 0.39478417604279303] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.029278788275243384, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((6.587163040849588, 0.0016247729059462174), 6.5871630313571675e-9) (r, orthogonality_tol) = ((1.3322676295501878e-15, 0.000630043283821098), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products d = [10.868069474659254, 9.17042780937167, 9.170328297469494, 8.842824483076821, 8.842730447501939, 6.981947216893859, 6.981947216893613, 6.934229774844646, 5.60834152146026, 5.608341521460139, 5.499557496838353, 5.49955749683798, 3.1503995036565673, 3.1503995036561085, 0.3947841760439914, 0.3947841760437043, 0.3947841760436063, 0.3947841760434008, 0.394784176042977, 0.39478417604279187] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0784731148494619, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.701319345460808, 3.9229444487983915), 1.047328529861568e-8) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.5955438516506214), 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 = [3.705502795957451, 0.39478417604325117, 0.3947841760432303] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.1664187226506475, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.0135092705596383e-13, 5.552096961491699e-14), 3.310718619913877e-9) (r, orthogonality_tol) = ((2.220446049250313e-16, 0.956308317907441), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products d = [3.7055027959574107, 1.2796862237971274, 0.5614540399735675, 0.3987856639749611, 0.3947841760432924, 0.3947841760431354] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.19111614008061326, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.13557655040896308, 0.16608712477693507), 3.3107186199138367e-9) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.9917167440415066), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products d = [6.812550809525738, 6.811378992870006, 3.707599977742646, 3.705502795957461, 1.8093136656567381, 0.5015412509931548, 0.39478417604328, 0.3947841760432407, 0.3947841760431496] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21137782863605428, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.892295189425388, 1.380263452749094), 6.417766633482164e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.6845595861241675), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products d = [13.240336838389139, 10.391648205197257, 8.393836440418296, 6.812550809525676, 6.8113789928699315, 3.705502795957446, 3.7055027959574365, 0.6014763068806698, 0.39478417604333993, 0.3947841760432349, 0.39478417604322874, 0.394784176043107] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21668967479665446, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.4941828036826337e-13, 2.9887066898396224), 1.2845552662345565e-8) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.96429492418703), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products d = [18.18290291863992, 13.240336838389277, 10.391648205197209, 8.393836440418307, 8.393836440418296, 6.81255837873899, 6.812550809525648, 6.811383010866219, 6.81137899286994, 3.7055027959574502, 3.7055027959574036, 0.39478417604335103, 0.3947841760432945, 0.3947841760432479, 0.39478417604323673, 0.3947841760431755, 0.39478417604310284] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.12841208022516973, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.3520742565306136e-13, 7.806852997443098), 1.7788118742596344e-8) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.975972245138598), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products d = [10.391648205197244, 8.39383644041835, 8.393836440418264, 7.771449481431879, 6.812558011123765, 6.8125508095256375, 6.812550809525629, 6.812524008161346, 6.811379159827041, 6.811378992870044, 6.811378992869953, 3.7055027959574622, 3.705502795957415, 0.3947841760433512, 0.3947841760432959, 0.3947841760432959, 0.3947841760432368, 0.39478417604317667, 0.3947841760431583, 0.39478417604310273] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.25558407488914264, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((20.716919872116428, 10.53959144412099), 9.996864029153671e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.8204856358586697), 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 = [0.3947841760453678, 0.3947841760447735, 0.39478417604475513] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.6477004836787732e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((5.186324064992752e-13, 1.743459146984252e-12), 1.0e-9) (r, orthogonality_tol) = ((7.771561172376096e-16, 0.9999366780262586), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products d = [3.0767303756385678, 3.0510762479655527, 0.41271658979826575, 0.3947841760469087, 0.3947841760445539, 0.3947841760432965] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.26060740890934514, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.1322180132621327e-13, 6.04376465057756e-9), 2.6819461995949936e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.5544812012510956), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 48 matrix-vector products d = [5.279096213794335, 3.0767303756385624, 3.051076247965546, 0.395171472892268, 0.39489005742151007, 0.3948026695734729, 0.3947841760469127, 0.39478417604456284, 0.3947841760432596] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.002548362173052679, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.003918153611858877, 0.01035366708613135), 4.8843120377507615e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.5312062244856994), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 48 matrix-vector products d = [5.323995183098035, 5.29846731265438, 5.283354059580243, 3.4034564179749762, 3.0767303756385567, 3.0510762479655265, 0.4325286669349128, 0.39478420922831614, 0.39478420399137953, 0.3947841760473316, 0.39478417604466076, 0.3947841760427472] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.05799752540085547, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.845873771284307, 0.6213612957438077), 4.929211007054462e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.8288053861068384), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products d = [6.890571626976351, 6.885964428292921, 6.697866727788179, 5.45218191501995, 5.441836961304792, 5.438341233001275, 5.323949227612074, 5.298268466789297, 5.2825187309977295, 3.0767303756385576, 3.051076247965531, 0.39478417604733435, 0.3947841760460348, 0.3947841760449582, 0.3947841760445413, 0.39478417604399113, 0.39478417604273836] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.1377812783009771e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.1796787425264483e-13, 2.2319870596849717e-10), 6.495787450932778e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.46340389473863175), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 75 matrix-vector products d = [8.543903874023572, 8.513033696397779, 8.494947147522113, 6.890571626976348, 6.885964428292911, 6.69786672778819, 5.4521819150199375, 5.441836961304778, 5.438341233001268, 5.323949227612064, 5.298268466789289, 5.282518730997752, 3.076730375638558, 3.0510762479655353, 0.39478417604733557, 0.39478417604603266, 0.39478417604515903, 0.3947841760446232, 0.39478417604370963, 0.39478417604273797] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.0654458696896462e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.744471316873387e-13, 1.4731164201670088e-8), 8.14911969798e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.03996297075679593), 1.0e-9) Testing VibrationGEPHelpers tests passed Testing completed after 228.17s PkgEval succeeded after 299.34s