Package evaluation of VibrationGEPHelpers on Julia 1.13.0-DEV.626 (157b8bc303*) started at 2025-05-23T01:01:05.577 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.79s ################################################################################ # 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 v2025.2.25 [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 1.35s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 29.49s ################################################################################ # Testing # Testing VibrationGEPHelpers Status `/tmp/jl_DRHAat/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_DRHAat/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 v2025.2.25 [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... 6472.3 ms ✓ KrylovKit 899.2 ms ✓ LinearMaps → LinearMapsChainRulesCoreExt 5266.1 ms ✓ VibrationGEPHelpers 3 dependencies successfully precompiled in 13 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 15 matrix-vector products d = [3.150399503656543, 0.39478417604352095, 0.39478417604314814] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.1838511068132052, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.481870265386871e-13, 2.886406935379393e-13), 2.7556153276129686e-9) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.7682814158579896), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products d = [3.150399503656393, 1.2644453202148997, 1.2275154602612368, 0.5648418594376123, 0.39478417604380434, 0.3947841760428903] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2382629373045042, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.7427380213152235, 1.8785177526172832), 2.755615327612819e-9) (r, orthogonality_tol) = ((5.551115123125783e-16, 0.9361430813928973), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products d = [5.608341521460276, 5.499557496838037, 3.1503995036565184, 3.1499653174305045, 0.8618383819911726, 0.3948857632310993, 0.3947841760461864, 0.39478417604376587, 0.3947841760428889] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20961816935696084, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((9.732456977754392e-5, 0.003843136859377344), 5.213557345416702e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.10748249957746205), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products d = [6.9819472168939205, 6.934229774844654, 5.608341521460272, 5.507654855828503, 5.4995574968381975, 3.1503995036565495, 3.1503995036562116, 0.39478463306276856, 0.394784176250199, 0.39478417604390087, 0.39478417604336574, 0.39478417604280946] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20071649655537366, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((6.9994516449511934e-6, 1.3918110253812204), 6.587163040850347e-9) (r, orthogonality_tol) = ((1.3322676295501878e-15, 0.5050817548568299), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 58 matrix-vector products d = [8.84282448307633, 6.981947216893662, 6.981947208160067, 6.934229774844638, 5.608341521460261, 5.608337642631697, 5.499707604706945, 5.499557496838455, 5.499556748764082, 3.150399503656564, 3.150399503656094, 0.39478926390094915, 0.3947841760439899, 0.3947841760436533, 0.39478417604345023, 0.3947841760429794, 0.39478417604279187] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.04836801379256136, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.670868915648512, 0.0008076246219314506), 8.448040307032756e-9) (r, orthogonality_tol) = ((1.2212453270876722e-15, 0.000769025719843712), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products d = [10.868069474659386, 9.170427809371777, 9.170381410970544, 8.842824483076432, 8.842794359062012, 6.981947216893923, 6.981947216893569, 6.934229774844646, 5.608341521460266, 5.608341521460159, 5.499557496838221, 5.499557496838021, 3.1503995036565673, 3.1503995036560988, 0.39478417604399135, 0.3947841760436695, 0.394784176043616, 0.39478417604342314, 0.3947841760429773, 0.3947841760427919] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0784737773511909, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.40998038654429, 4.173565057311178), 1.0473285298615813e-8) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.817580878725751), 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 = [3.7055027959574343, 0.39478417604322535, 0.39478417604320826] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.16641872265064825, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.5213616270151714e-13, 4.175696153834587e-14), 3.31071861991386e-9) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.9523021044518438), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products d = [3.705502795957415, 0.8221971434045315, 0.7489073948544298, 0.4097292249718739, 0.3947841760433092, 0.39478417604320065] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18535909266653497, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.060545728264336296, 0.3543741662810446), 3.310718619913841e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.9998836339358832), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products d = [6.812550809525783, 6.8113789928703765, 3.705604270711618, 3.705502795957431, 1.8491345334516514, 0.49820001421150534, 0.39478417604331456, 0.39478417604322785, 0.39478417604314636] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2120984372512173, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.895636426207133, 1.3401997598864268), 6.41776663348221e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.5220043487383021), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products d = [13.24033683838925, 10.391648205197251, 8.393836440418289, 6.812550809525638, 6.811378992869952, 3.705502795957443, 3.7055027959574356, 0.48584799746157675, 0.39478417604333477, 0.3947841760432441, 0.3947841760432378, 0.3947841760431123] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21444614430376854, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.0068881208734956e-13, 3.1295477069465933), 1.2845552662345677e-8) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.9775601280723982), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products d = [18.182902918639925, 13.240336838389283, 10.391648205197216, 8.393836440418346, 8.39383644041832, 6.812554091262661, 6.812550809525684, 6.811384209181048, 6.811378992869944, 3.705502795957457, 3.705502795957411, 0.39478417604335153, 0.39478417604329535, 0.39478417604323635, 0.3947841760431754, 0.39478417604317384, 0.39478417604310334] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.12841208022512743, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.7836400679225335e-13, 6.864635342305263), 1.778811874259635e-8) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.9761059197342392), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products d = [10.39164820519723, 8.393836440418369, 8.393836440418266, 7.401405649802472, 6.812550844992664, 6.812550809525713, 6.81255080952564, 6.8114765514393945, 6.811379381680196, 6.811378992869986, 6.811378992869932, 3.705502795957451, 3.705502795957413, 0.3947841760433517, 0.3947841760432963, 0.3947841760432371, 0.3947841760431771, 0.3947841760431584, 0.394784176043158, 0.39478417604310284] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.25666644247001336, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((17.849066337411696, 7.030349644621175), 9.996864029153656e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.5472983396992492), 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 = [0.3947841760453317, 0.3947841760449097, 0.3947841760446308] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.6350163257993711e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.5723026648267374e-13, 1.647784462860144e-12), 1.0e-9) (r, orthogonality_tol) = ((9.992007221626409e-16, 0.9849754519486449), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products d = [3.076730375638558, 3.0510762479655362, 0.4099356129394748, 0.39478417604693206, 0.39478417604450733, 0.39478417604332133] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2605397456534623, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((1.7763568394002505e-13, 5.834722850154938e-9), 2.6819461995949837e-9) (r, orthogonality_tol) = ((3.3306690738754696e-16, 0.581831338458731), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 48 matrix-vector products d = [5.280047244681176, 3.0767303756385513, 3.0510762479655336, 0.39514333718679556, 0.3949225703411344, 0.39489825327128064, 0.3947841760468706, 0.39478417604459987, 0.39478417604327926] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.002785282512503202, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.0026295308656818506, 0.008477825718518635), 4.8852630686376025e-9) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.9355473158973695), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 48 matrix-vector products d = [5.324097021879609, 5.311120347723483, 5.298075374010656, 3.0767303756385616, 3.0510762479655402, 1.6144208083452392, 0.5050464512763494, 0.39478424017982816, 0.39478420317546914, 0.3947841760473329, 0.39478417604466315, 0.3947841760427436] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.09525555709379382, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((6.204159207730573, 0.9022927073287982), 4.929312845836036e-9) (r, orthogonality_tol) = ((5.551115123125783e-16, 0.7398044955358567), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products d = [6.886005715018405, 6.69786683206006, 5.452182378585196, 5.441867509317667, 5.438382342414879, 5.3239492334656875, 5.298268484784255, 5.282518866045646, 3.076730375638556, 3.051076247965535, 1.093346941024893, 0.5926735557943821, 0.39478417604733523, 0.3947841760449914, 0.3947841760445674, 0.39478417604444416, 0.39478417604273947] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.1247591007758123, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.14326515760032293, 0.1952800912876757), 6.491221538974832e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.9868144088047374), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 75 matrix-vector products d = [8.543903874023574, 8.513033696397798, 8.494947147522119, 6.890571626976345, 6.885964428292933, 6.697866727788171, 5.452181915019952, 5.44183696130479, 5.438341233001272, 5.323949227612058, 5.298268466789279, 5.282518730997745, 3.076730375638559, 3.05107624796554, 0.3947841760473352, 0.39478417604581345, 0.39478417604525956, 0.3947841760446395, 0.39478417604381383, 0.3947841760427381] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.0928265349115506e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.1568785636529074e-13, 2.3410203957643927e-8), 8.149119697980001e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.4571391571690411), 1.0e-9) Testing VibrationGEPHelpers tests passed Testing completed after 238.26s PkgEval succeeded after 291.34s