Package evaluation of VibrationGEPHelpers on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-24T14:05:21.104


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 7.89s


################################################################################
# Installation
#

Installing VibrationGEPHelpers...
   Resolving package versions...
    Updating `~/.julia/environments/v1.12/Project.toml`
  [3f428ce3] + VibrationGEPHelpers v0.1.3
    Updating `~/.julia/environments/v1.12/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 v1.2.1
  [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 v1.6.0
  [7b1f6079] + FileWatching v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [dc6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.11.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [ca575930] + NetworkOptions v1.2.0
  [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 v1.2.0+0
  [deac9b47] + LibCURL_jll v8.6.0+0
  [e37daf67] + LibGit2_jll v1.8.0+0
  [29816b5a] + LibSSH2_jll v1.11.0+1
  [c8ffd9c3] + MbedTLS_jll v2.28.6+1
  [14a3606d] + MozillaCACerts_jll v2024.11.26
  [4536629a] + OpenBLAS_jll v0.3.28+3
  [bea87d4a] + SuiteSparse_jll v7.8.0+1
  [83775a58] + Zlib_jll v1.3.1+1
  [8e850b90] + libblastrampoline_jll v5.11.2+0
  [8e850ede] + nghttp2_jll v1.63.0+1
  [3f19e933] + p7zip_jll v17.5.0+1
        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


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 31.3s


################################################################################
# Testing
#

     Testing VibrationGEPHelpers
      Status `/tmp/jl_7OHPgu/Project.toml`
  [aa547a04] DataDrop v0.1.5
  [8bb1440f] DelimitedFiles v1.9.1
  [10745b16] Statistics v1.11.1
  [3f428ce3] VibrationGEPHelpers v0.1.3
  [37e2e46d] LinearAlgebra v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_7OHPgu/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 v2.8.1
  [aea7be01] PrecompileTools v1.2.1
  [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+1
  [458c3c95] OpenSSL_jll v3.0.16+0
  [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 v1.6.0
  [7b1f6079] FileWatching v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [dc6e5ff7] 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 v1.11.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.2.0
  [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 v1.2.0+0
  [deac9b47] LibCURL_jll v8.6.0+0
  [e37daf67] LibGit2_jll v1.8.0+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.6+1
  [14a3606d] MozillaCACerts_jll v2024.11.26
  [4536629a] OpenBLAS_jll v0.3.28+3
  [bea87d4a] SuiteSparse_jll v7.8.0+1
  [83775a58] Zlib_jll v1.3.1+1
  [8e850b90] libblastrampoline_jll v5.11.2+0
  [8e850ede] nghttp2_jll v1.63.0+1
  [3f19e933] p7zip_jll v17.5.0+1
        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 16 matrix-vector products
d = [3.150399503656554, 0.3947841760434866, 0.3947841760431292]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18385110681320735, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((9.080520032456886e-13, 2.89577756427924e-13), 2.75561532761298e-9)
(r, orthogonality_tol) = ((5.551115123125783e-16, 0.7571558798725581), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.1503995036563954, 1.500589690593552, 1.0961424893070155, 0.5966704989711458, 0.39478417604375005, 0.39478417604287097]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.24175360333459456, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((1.572822911072374, 0.6774727736128761), 2.755615327612821e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.9659438846034993), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products
d = [5.608341521460275, 5.499557496838093, 3.150399503656252, 3.1503995033627814, 0.9172559594358273, 0.3947886896010555, 0.39478417604602517, 0.39478417604374694, 0.39478417604284183]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2112431790565142, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.8747840086546e-6, 0.0020453923781886957), 5.213557345416701e-9)
(r, orthogonality_tol) = ((1.1102230246251565e-15, 0.10987923884835585), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products
d = [6.981947216893721, 6.934229774844638, 5.608341521460265, 5.512982144636029, 5.499557496837912, 3.1503995036811396, 3.150399503656547, 0.3947845534903151, 0.39478417615666234, 0.3947841760439078, 0.3947841760434385, 0.3947841760428171]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20071666542182376, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.016425129371726e-6, 0.007056759076388027), 6.587163040850147e-9)
(r, orthogonality_tol) = ((1.2212453270876722e-15, 0.0061818395420191186), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 64 matrix-vector products
d = [6.981947187077597, 6.934229774844647, 6.3966528279463715, 5.608341521460257, 5.608339185321244, 5.607033231390836, 5.500339569338301, 5.499557496838428, 5.49955635621605, 3.150399503656564, 3.150399503656104, 0.39478993127756784, 0.39478417604399174, 0.3947841760436755, 0.39478417604341604, 0.39478417604297983, 0.39478417604279314]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.011938458481064817, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((6.587163040850525, 0.003300135750354257), 6.587163011034023e-9)
(r, orthogonality_tol) = ((1.2212453270876722e-15, 0.0011976039315842648), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products
d = [10.868069474659295, 9.17042780937177, 9.170351507964016, 8.842824483076472, 8.842805532657076, 6.981947216893584, 6.981947216862435, 6.934229774844639, 5.608341521460238, 5.608341521460171, 5.499557496838136, 5.499557496838121, 3.150399503656561, 3.1503995036561094, 0.3947841760439919, 0.3947841760436476, 0.39478417604363536, 0.39478417604342353, 0.39478417604298227, 0.3947841760427922]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.07847383547489531, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.962679989816846, 5.0988363243921135), 1.0473285298615722e-8)
(r, orthogonality_tol) = ((1.2212453270876722e-15, 0.9988369715892524), 1.0e-9)
[ Info: Input unit_cube_modes-h8-n1=3
[ Info: Number of eigenvalues 3
history = Converged: 3 of 3 eigenvalues in 15 matrix-vector products
d = [3.705502795957411, 0.3947841760432688, 0.3947841760432427]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.16641872265064575, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.397282455352979e-13, 4.632047671341389e-14), 3.310718619913837e-9)
(r, orthogonality_tol) = ((2.220446049250313e-16, 0.9185641729073105), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.70550279595741, 0.8577261273553793, 0.7194583267895336, 0.40624889716745977, 0.3947841760432532, 0.3947841760431327]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18541774328058153, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.19677355709669075, 0.4629886181738522), 3.3107186199138355e-9)
(r, orthogonality_tol) = ((3.3306690738754696e-16, 0.9993258375947811), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products
d = [6.812550809525827, 6.81137899286997, 3.7061758045544, 3.7055027959574143, 1.8264092881837082, 0.49920016208523615, 0.39478417604327026, 0.39478417604324756, 0.3947841760431278]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2116695778606153, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.894636278333329, 1.3540265941037108), 6.417766633482253e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.8263085386990403), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products
d = [13.240336838389256, 10.391648205197273, 8.393836440418298, 6.812550809525608, 6.811378992869912, 3.705502795957448, 3.70550279595741, 0.4956378348569434, 0.39478417604332133, 0.39478417604324517, 0.3947841760432289, 0.39478417604311267]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21463700472744748, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.2721381987576024e-13, 1.3676484728336673), 1.2845552662345682e-8)
(r, orthogonality_tol) = ((9.992007221626409e-16, 0.9254420016229687), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products
d = [18.18290291864003, 13.240336838389222, 10.391648205197276, 8.393836440418315, 8.393836440418267, 6.812556088527857, 6.812550809525693, 6.8113809822143185, 6.8113789928699715, 3.7055027959574622, 3.705502795957415, 0.3947841760435386, 0.39478417604335125, 0.394784176043296, 0.3947841760432371, 0.39478417604317634, 0.39478417604310273]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.12841208022511438, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.156675004196586e-13, 5.863742188621574), 1.7788118742596453e-8)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.7330546163245568), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products
d = [13.24033683838925, 10.391648205197276, 8.39383644041842, 8.393836440418315, 6.822104738854163, 6.812550960291298, 6.812550809525663, 6.812550809525638, 6.812343673038455, 6.811379021628632, 6.81137899287, 6.811378992869935, 3.7055027959574685, 3.7055027959574076, 0.3947841760433514, 0.39478417604329646, 0.3947841760432372, 0.3947841760431772, 0.3947841760431589, 0.394784176043103]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.14084694728252267, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((17.842758650116455, 2.8484640701350945), 1.2845552662345677e-8)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.4438403938333062), 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 = [0.39478417604534577, 0.3947841760449565, 0.39478417604489147]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.7483689201356362e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.618368786889983e-13, 1.7680735617893838e-12), 1.0e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.9992608456047248), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products
d = [3.0767303756385656, 3.0510762479655473, 0.41042154775788586, 0.3947841760469116, 0.3947841760445649, 0.3947841760432873]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.26055157007551316, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((1.6317605860634157e-13, 7.550827268755015e-9), 2.681946199594991e-9)
(r, orthogonality_tol) = ((3.3306690738754696e-16, 0.545050071858591), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 50 matrix-vector products
d = [5.281060089188334, 3.0767303756385576, 3.051076247965534, 0.3951847313409765, 0.39496375983938975, 0.39484851722259584, 0.3947841760469203, 0.39478417604450117, 0.3947841760433147]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0028586175130280228, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.0014996193728977758, 0.006384764334783424), 4.88627591314476e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.5817424937439009), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 51 matrix-vector products
d = [5.4071378268426695, 5.323928659377738, 5.298238813678713, 4.0310255309057865, 3.0767303756385624, 3.051076247965543, 0.42281952203777395, 0.3947841916560712, 0.3947841878201025, 0.39478417604732957, 0.3947841760446731, 0.3947841760427491]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.03908177334334724, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((5.274287293029138, 0.46113534692108155), 5.012353650799096e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.7319583781829581), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products
d = [6.890571626976345, 6.885964428292924, 6.697866727788174, 5.452181915019915, 5.441836961304785, 5.438341233001275, 5.32394922761204, 5.298268466789256, 5.282518730997733, 3.0767303756385598, 3.0510762479655322, 0.39478417604733496, 0.3947841760459996, 0.39478417604484184, 0.39478417604448807, 0.39478417604419547, 0.394784176042739]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.2077178631173934e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.8603742735842255e-13, 2.7317751664239996e-10), 6.495787450932772e-9)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.7785965740368789), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 75 matrix-vector products
d = [8.543903874023588, 8.513033696397795, 8.49494714752214, 6.890571626976349, 6.88596442829291, 6.697866727788179, 5.45218191501993, 5.441836961304789, 5.4383412330012755, 5.323949227612043, 5.298268466789267, 5.282518730997709, 3.076730375638555, 3.0510762479655353, 0.3947841760473355, 0.3947841760459578, 0.3947841760451929, 0.3947841760446288, 0.39478417604374694, 0.3947841760427379]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.0732145835443147e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.575717417130363e-13, 8.139090557773843e-9), 8.149119697980014e-9)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.21870597639778153), 1.0e-9)
     Testing VibrationGEPHelpers tests passed 

Testing completed after 212.83s

PkgEval succeeded after 266.61s