Package evaluation of VibrationGEPHelpers on Julia 1.13.0-DEV.896 (efa4faf9a4*) started at 2025-07-25T12:23:53.383


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 6.53s


################################################################################
# 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 v1.25.2
  [34da2185] + Compat v4.17.0
⌅ [46192b85] + GPUArraysCore v0.1.6
  [692b3bcd] + JLLWrappers v1.7.1
⌅ [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 v1.9.14
  [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 v1.13.0
  [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 v1.13.0
  [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 v8.14.1+1
  [e37daf67] + LibGit2_jll v1.9.1+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.7.15
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [458c3c95] + OpenSSL_jll v3.5.1+0
  [efcefdf7] + PCRE2_jll v10.45.0+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.13.1+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 1.38s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 20.77s


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

     Testing VibrationGEPHelpers
      Status `/tmp/jl_jsMFQx/Project.toml`
  [aa547a04] DataDrop v0.1.5
  [8bb1440f] DelimitedFiles v1.9.1
  [10745b16] Statistics v1.11.1
  [3f428ce3] VibrationGEPHelpers v0.1.3
  [37e2e46d] LinearAlgebra v1.13.0
  [2f01184e] SparseArrays v1.13.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_jsMFQx/Manifest.toml`
  [79e6a3ab] Adapt v4.3.0
⌅ [ec485272] ArnoldiMethod v0.2.0
⌅ [7d9fca2a] Arpack v0.5.3
  [d360d2e6] ChainRulesCore v1.25.2
  [34da2185] Compat v4.17.0
  [aa547a04] DataDrop v0.1.5
  [8bb1440f] DelimitedFiles v1.9.1
⌅ [46192b85] GPUArraysCore v0.1.6
  [f67ccb44] HDF5 v0.17.2
  [692b3bcd] JLLWrappers v1.7.1
  [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 v1.9.14
  [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 v4.3.1+0
  [f1f71cc9] MPItrampoline_jll v5.5.4+0
  [9237b28f] MicrosoftMPI_jll v10.1.4+3
  [fe0851c0] OpenMPI_jll v5.0.8+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 v1.7.0
  [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 v1.13.0
  [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 v1.13.0
  [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 v8.14.1+1
  [e37daf67] LibGit2_jll v1.9.1+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.7.15
  [4536629a] OpenBLAS_jll v0.3.29+0
  [458c3c95] OpenSSL_jll v3.5.1+0
  [efcefdf7] PCRE2_jll v10.45.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.13.1+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 16 matrix-vector products
d = [3.1503995036561396, 0.3947841760434294, 0.3947841760430865]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18385110681319683, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.204214951745494e-13, 3.367291179108491e-13), 2.7556153276125654e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.7472228762627141), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.1503995036560997, 0.9702991444005986, 0.6321181332979586, 0.43622272418412616, 0.3947841760437348, 0.39478417604286775]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21042846072004143, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.14105255302059455, 0.23527898968375532), 2.7556153276125253e-9)
(r, orthogonality_tol) = ((1.3322676295501878e-15, 0.9913414515380096), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products
d = [5.608341521460238, 5.499557496838144, 3.1503995036561068, 3.1456289424536776, 0.8686650682468546, 0.3954535858869329, 0.39478417604557614, 0.39478417604378196, 0.3947841760428606]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20970762673072044, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.0006648230337231355, 0.010145401860713582), 5.213557345416664e-9)
(r, orthogonality_tol) = ((1.1102230246251565e-15, 0.1525691447467574), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products
d = [6.981947216893849, 6.934229774844668, 6.106145561971683, 5.608341521460281, 5.499557496838421, 3.1503995036564154, 3.1503995036562795, 0.39478448912679814, 0.3947841762751234, 0.3947841760439009, 0.39478417604341015, 0.39478417604281907]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20123587186925027, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((1.5474390480108013e-7, 2.3546405325233124), 6.587163040850275e-9)
(r, orthogonality_tol) = ((1.5543122344752192e-15, 0.854488109762095), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 58 matrix-vector products
d = [8.842824483076216, 6.9819472168939445, 6.981947215342427, 6.934229774844646, 5.608341521460272, 5.608336175241914, 5.499641967846454, 5.499557496838318, 5.499557435532956, 3.150399503656564, 3.150399503656104, 0.39479292899851387, 0.39478417604399035, 0.3947841760436407, 0.39478417604341126, 0.39478417604297544, 0.39478417604279836]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.04836847830838975, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.6708701979342058, 0.0008250344921676457), 8.448040307032642e-9)
(r, orthogonality_tol) = ((1.3322676295501878e-15, 0.12571740799698838), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products
d = [10.868069474659588, 9.170427809371741, 9.170342942224082, 8.842824483076656, 8.842317127643552, 6.981947216893913, 6.981947216893396, 6.934229774844637, 5.608341521460259, 5.608341521460134, 5.499557496838152, 5.4995574968380385, 3.150399503656561, 3.150399503656098, 0.3947841760439914, 0.3947841760436904, 0.39478417604361066, 0.39478417604340876, 0.3947841760429772, 0.3947841760427926]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.07846935801217297, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.6971783926530613, 4.710079250165611), 1.0473285298616015e-8)
(r, orthogonality_tol) = ((1.3322676295501878e-15, 0.922681371762103), 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 = [3.7055027959574365, 0.39478417604320637, 0.39478417604320093]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.16641872265064897, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.419082533090997e-13, 4.0910096551048266e-14), 3.3107186199138623e-9)
(r, orthogonality_tol) = ((0.0, 0.9959286084792243), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.7055027959574325, 1.7251702238814934, 0.5051945825906938, 0.3992810810117944, 0.3947841760433111, 0.3947841760431684]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.19946304699613407, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.1013587315767688, 0.1092348499482927), 3.3107186199138582e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.9854861713437286), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products
d = [6.81255080952587, 6.81137899287029, 3.705836255965022, 3.7055027959574462, 1.2338344610686278, 0.5752929353522884, 0.3947841760432845, 0.394784176043252, 0.39478417604313837]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2012050637841665, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.81854350506626, 2.5073522817337173), 6.417766633482297e-9)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.8148467554488983), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products
d = [13.24033683838934, 10.39164820519724, 8.393836440418351, 6.8125508095256775, 6.8113789928699005, 3.705502795957467, 3.7055027959574023, 0.520063966540407, 0.39478417604333477, 0.39478417604324184, 0.3947841760432351, 0.3947841760431107]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21511247264644434, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.7481129311345285e-13, 0.31211508404674493), 1.2845552662345767e-8)
(r, orthogonality_tol) = ((5.551115123125783e-16, 0.9832878499057977), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products
d = [18.182902918640053, 13.240336838389263, 10.391648205197244, 8.393836440418342, 8.393836440418303, 6.812556578519538, 6.8125508095256295, 6.811385628153874, 6.811378992869949, 3.7055027959574494, 3.70550279595741, 0.3947841760433517, 0.3947841760432948, 0.3947841760432358, 0.3947841760431993, 0.39478417604317145, 0.39478417604310373]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.12841208022517758, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.739231146937527e-13, 5.750844089202423), 1.778811874259648e-8)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.7189406818623574), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products
d = [10.391648205197257, 8.562751630321104, 8.393836440418344, 8.393836440418298, 6.812558877489562, 6.812550809525674, 6.812550809525643, 6.811500525724341, 6.811444201799951, 6.81137899287, 6.811378992869962, 3.705502795957461, 3.7055027959574205, 0.39478417604335103, 0.3947841760432963, 0.3947841760432369, 0.3947841760431774, 0.3947841760431586, 0.39478417604315785, 0.3947841760431028]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.25280086806160096, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((17.80347837326497, 8.439115869489637), 9.996864029153683e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.9272768032009806), 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 = [0.39478417604535104, 0.3947841760448335, 0.39478417604475746]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.663819886223129e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.2428905919818165e-13, 1.6297688958318226e-12), 1.0e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.9989411807513227), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products
d = [3.0767303756385567, 3.0510762479655384, 0.4149663749047009, 0.39478417604693145, 0.39478417604454796, 0.39478417604329796]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.26066213505456676, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((1.7896795156957523e-13, 8.010305001147988e-9), 2.6819461995949824e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.5596134278897772), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 48 matrix-vector products
d = [5.282253453250644, 3.0767303756385536, 3.051076247965535, 0.3950497541750251, 0.3948083006624018, 0.39480624776191475, 0.3947841760469291, 0.39478417604446675, 0.39478417604334975]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.001988026139188594, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.0002692954430045802, 0.002627312721340895), 4.8874692772070705e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.9882247957151843), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 45 matrix-vector products
d = [5.324011625242767, 5.29863257931867, 5.284242201374538, 3.076730375638555, 3.0510762479655353, 1.9157447817154443, 0.4816131114442228, 0.3947842622169213, 0.39478420962053656, 0.3947841760473321, 0.39478417604467286, 0.3947841760427459]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.08526421827161952, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((8.24920966933314, 0.9170442194837138), 4.929227449199194e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.6029374940058975), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products
d = [6.890571626976373, 6.8859644282929455, 6.697866727788173, 5.452181915019935, 5.441836961304787, 5.438341233001271, 5.323949227612051, 5.29826846678927, 5.2825187309977215, 3.0767303756385536, 3.051076247965535, 0.3947841760473352, 0.39478417604602356, 0.39478417604494076, 0.39478417604455274, 0.3947841760440066, 0.39478417604273885]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.1439701685823777e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.0464519795714295e-13, 2.1492722985511623e-10), 6.495787450932799e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.44785415594151295), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 75 matrix-vector products
d = [8.543903874023606, 8.513033696397777, 8.494947147522135, 6.890571626976387, 6.885964428292959, 6.697866727788186, 5.452181915019943, 5.441836961304789, 5.438341233001272, 5.323949227612061, 5.298268466789287, 5.282518730997745, 3.07673037563855, 3.0510762479655367, 0.3947841760473353, 0.3947841760459385, 0.3947841760452017, 0.394784176044629, 0.39478417604375654, 0.3947841760427382]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.075297228942477e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.019806626980426e-13, 2.1775779989949284e-8), 8.149119697980032e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.25397942872188073), 1.0e-9)
     Testing VibrationGEPHelpers tests passed 

Testing completed after 158.89s

PkgEval succeeded after 214.09s