Package evaluation of VibrationGEPHelpers on Julia 1.13.0-DEV.140 (fac1ce7906*) started at 2025-03-02T09:56:23.425


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.27s


################################################################################
# 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 v4.2.0
⌅ [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 v1.7.0
  [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 v8.11.1+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 v7.8.3+2
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.12.0+0
  [8e850ede] + nghttp2_jll v1.64.0+1
  [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 1.16s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 25.68s


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# Testing
#

     Testing VibrationGEPHelpers
      Status `/tmp/jl_ZgJCUc/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_ZgJCUc/Manifest.toml`
  [79e6a3ab] Adapt v4.2.0
⌅ [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 v1.14.5+0
  [e33a78d0] Hwloc_jll v2.12.0+0
  [7cb0a576] MPICH_jll v4.3.0+0
  [f1f71cc9] MPItrampoline_jll v5.5.2+0
  [9237b28f] MicrosoftMPI_jll v10.1.4+3
  [fe0851c0] OpenMPI_jll v5.0.7+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 v1.12.0
  [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 v8.11.1+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 v7.8.3+2
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.12.0+0
  [8e850ede] nghttp2_jll v1.64.0+1
  [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...
   6765.1 ms  ✓ KrylovKit
   1044.3 ms  ✓ LinearMaps → LinearMapsChainRulesCoreExt
   1561.4 ms  ✓ Arpack
   3648.6 ms  ✓ VibrationGEPHelpers
  4 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 15 matrix-vector products
d = [3.1503995036560988, 0.3947841760434949, 0.3947841760431555]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.183851106813191, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.4655303695612724e-13, 2.9917933772295745e-13), 2.7556153276125244e-9)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.7720720204102586), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.1503995036562378, 1.307647786333436, 0.805894562066294, 0.7414988246312508, 0.3947841760437513, 0.39478417604285654]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.23301150522786823, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.07601181254126854, 0.4109629537401778), 2.7556153276126634e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.9996413803022403), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products
d = [5.608341521460268, 5.499557496837985, 3.1503995036563412, 3.150399501557244, 0.8021607508174927, 0.3947901700540529, 0.3947841760468338, 0.3947841760437699, 0.3947841760428524]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20787473790635816, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((8.120835323088826e-6, 0.0008951720029226082), 5.213557345416695e-9)
(r, orthogonality_tol) = ((1.5543122344752192e-15, 0.0847449366992353), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products
d = [6.981947216893735, 6.934229774844641, 5.6083415214602494, 5.510406942656456, 5.499557496838099, 3.1503995036565726, 3.1503995036561157, 0.394784445059613, 0.39478417623377837, 0.394784176043935, 0.39478417604341387, 0.3947841760428073]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20071656873688695, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.999921863950817e-6, 0.5290400146581087), 6.587163040850161e-9)
(r, orthogonality_tol) = ((1.3322676295501878e-15, 0.1919861634375435), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 64 matrix-vector products
d = [6.981947206417471, 6.934229774844657, 6.89204213088762, 5.6083415214602415, 5.608340117168943, 5.608028811506077, 5.499756403309887, 5.499557496838396, 5.499557315599927, 3.150399503656546, 3.1503995036560912, 0.3947924184340306, 0.3947841760439911, 0.39478417604366145, 0.39478417604342897, 0.39478417604297694, 0.3947841760427957]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0014150309833263278, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((6.537444355089774, 0.0011199898749174667), 6.587163030373897e-9)
(r, orthogonality_tol) = ((1.1102230246251565e-15, 0.09339553000560631), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products
d = [10.868069474659572, 9.170427809371754, 9.170380357029837, 8.842824483076921, 8.842808342614118, 6.981947216893584, 6.9819472168935794, 6.934229774844642, 5.608341521460259, 5.608341521460125, 5.499557496838259, 5.499557496838004, 3.1503995036565606, 3.1503995036561023, 0.3947841760439905, 0.3947841760436481, 0.3947841760436375, 0.39478417604342364, 0.3947841760429784, 0.39478417604279237]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.07847390364275314, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.1018214582869703, 6.562866678954074), 1.0473285298615998e-8)
(r, orthogonality_tol) = ((1.4432899320127035e-15, 0.9963115590512656), 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 = [3.7055027959574205, 0.3947841760432322, 0.39478417604322147]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.16641872265064742, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.619334561072384e-13, 6.694775888645206e-14), 3.3107186199138462e-9)
(r, orthogonality_tol) = ((5.551115123125783e-16, 0.9784984864428137), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.7055027959574525, 1.1618583498322461, 0.5885589521127966, 0.40810827810717876, 0.39478417604329064, 0.39478417604315097]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18932627907040286, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.14531009912753168, 0.1927944507278943), 3.310718619913878e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.9941197898153225), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products
d = [6.812550809525779, 6.811378992869983, 3.7056813613053614, 3.705502795957425, 2.0555784465842724, 0.48496599717195066, 0.39478417604327465, 0.3947841760432435, 0.39478417604315635]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2158749817795249, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.90887044324658, 1.184367884552729), 6.417766633482205e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.8307525987379103), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products
d = [13.240336838389286, 10.391648205197209, 8.393836440418305, 6.812550809525681, 6.811378992870037, 3.7055027959574396, 3.7055027959574236, 0.4820285635835403, 0.3947841760433403, 0.39478417604322985, 0.3947841760432198, 0.3947841760431201]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21437163541818555, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.2862601528904634e-13, 2.623868718992398), 1.2845552662345712e-8)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.9689804573339614), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products
d = [18.182902918640025, 13.240336838389293, 10.391648205197248, 8.393836440418356, 8.393836440418264, 6.812554348528248, 6.812550809525634, 6.811389237944509, 6.8113789928699315, 3.705502795957451, 3.705502795957409, 0.39478417604335103, 0.3947841760432926, 0.3947841760432354, 0.39478417604317934, 0.394784176043172, 0.39478417604310256]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.12841208022522924, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.121147867408581e-13, 2.530158400247185), 1.778811874259645e-8)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.7305539408863464), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products
d = [10.391648205197239, 8.393836440418342, 8.393836440418285, 7.376133041313245, 6.812551421762736, 6.812550809525712, 6.8125508095255825, 6.811894975284575, 6.811379766878721, 6.811378992869995, 6.811378992869929, 3.7055027959574556, 3.70550279595741, 0.3947841760433515, 0.39478417604329674, 0.39478417604323746, 0.39478417604317667, 0.39478417604315813, 0.39478417604315813, 0.3947841760431029]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2567469666631104, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((17.814921774969267, 9.189469150162275), 9.996864029153666e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.7440282108073342), 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 = [0.39478417604532434, 0.3947841760450099, 0.39478417604488036]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.7565944549724296e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.2147764853288714e-13, 1.8593868607646963e-12), 1.0e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.997344307628337), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products
d = [3.0767303756385593, 3.051076247965538, 0.41273969767463353, 0.3947841760468973, 0.3947841760446276, 0.3947841760432573]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.26060797106796, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.4424906541753444e-13, 7.803308831215706e-9), 2.681946199594985e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.5120777325507112), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 50 matrix-vector products
d = [5.282217863200847, 3.0767303756385562, 3.0510762479655336, 0.395207342115984, 0.39482933586262703, 0.39482182426620777, 0.394784176046917, 0.39478417604451316, 0.39478417604330646]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0025326667066125357, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.0003073696549060756, 0.002659870186278396), 4.8874336871572735e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.9505780744508017), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 51 matrix-vector products
d = [5.382713201594067, 5.3239482094798385, 5.298265550022709, 3.408839546680252, 3.07673037563855, 3.05107624796553, 0.4289129732847519, 0.39478419869722875, 0.39478418820632954, 0.39478417604733024, 0.39478417604469446, 0.3947841760427486]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.057378073042193556, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((5.377199449033517, 0.5094354246747933), 4.987929025550493e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.34538121099946856), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products
d = [6.890571626976334, 6.885964428292913, 6.697866727788137, 5.452181915019938, 5.441836961304789, 5.4383412330012835, 5.323949227612037, 5.298268466789256, 5.282518730997751, 3.07673037563856, 3.0510762479655367, 0.3947841760473349, 0.39478417604601274, 0.3947841760449944, 0.39478417604458926, 0.394784176043928, 0.3947841760427382]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.120464499510575e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.099742684753437e-13, 2.0198944097436637e-10), 6.495787450932761e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.37045465793966464), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 75 matrix-vector products
d = [8.543903874023556, 8.513033696397743, 8.494947147522073, 6.890571626976358, 6.885964428292928, 6.697866727788169, 5.452181915019929, 5.441836961304769, 5.43834123300126, 5.323949227612044, 5.298268466789273, 5.282518730997739, 3.0767303756385544, 3.0510762479655336, 0.3947841760473351, 0.3947841760460376, 0.39478417604515864, 0.39478417604462296, 0.39478417604370686, 0.3947841760427379]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.0650438035980561e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.459454944731988e-13, 1.798228950640468e-8), 8.149119697979983e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.005509536520650955), 1.0e-9)
     Testing VibrationGEPHelpers tests passed 

Testing completed after 232.12s

PkgEval succeeded after 280.56s