Package evaluation of VibrationGEPHelpers on Julia 1.13.0-DEV.834 (c3282ceaac*) started at 2025-07-08T14:22:24.810


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.69s


################################################################################
# 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 v1.7.0
⌅ [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 v8.14.1+1
  [e37daf67] + LibGit2_jll v1.9.1+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.5.20
  [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 1.23s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 23.27s


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# Testing
#

     Testing VibrationGEPHelpers
      Status `/tmp/jl_Kyzaht/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_Kyzaht/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 v1.7.0
  [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 v4.3.1+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 v1.12.0
  [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 v8.14.1+1
  [e37daf67] LibGit2_jll v1.9.1+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.5.20
  [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 15 matrix-vector products
d = [3.150399503656267, 0.3947841760434625, 0.3947841760430716]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18385110681320055, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.0637389097292212e-13, 3.7811403677885703e-13), 2.7556153276126928e-9)
(r, orthogonality_tol) = ((3.3306690738754696e-16, 0.6825766678773891), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.150399503656149, 0.8520240707361444, 0.8185006944443192, 0.6955785997831885, 0.3947841760438355, 0.39478417604287475]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2197655642680421, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.23313327347274626, 0.5781710715713256), 2.755615327612575e-9)
(r, orthogonality_tol) = ((1.4432899320127035e-15, 0.9965864570226659), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products
d = [5.608341521460262, 5.499557496838327, 3.1503995036561525, 3.1503994675592337, 0.4654206418094113, 0.39479568364855694, 0.3947841760463451, 0.3947841760437542, 0.39478417604285376]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.19769021482234392, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((1.2075681076195721e-6, 0.000247760701755635), 5.213557345416688e-9)
(r, orthogonality_tol) = ((9.992007221626409e-16, 0.10015568011721122), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products
d = [6.981947216893915, 6.934229774844654, 5.608341521460252, 5.574226912921115, 5.499557496838399, 3.150399503656474, 3.150399503656238, 0.39478444506343874, 0.3947841762257256, 0.39478417604393723, 0.39478417604345706, 0.3947841760428193]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20072467566990249, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((8.149926529199547e-7, 1.6820518219053304), 6.587163040850341e-9)
(r, orthogonality_tol) = ((1.3322676295501878e-15, 0.6104087914775533), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 64 matrix-vector products
d = [6.981947216893631, 6.981947211455012, 6.934229774844655, 5.608341521460259, 5.608338395073648, 5.608250308152866, 5.499618778351345, 5.499557496838325, 5.499557459904089, 3.150399503656565, 3.150399503656101, 0.39479094469925374, 0.3947841760439899, 0.39478417604364785, 0.3947841760434208, 0.39478417604297644, 0.3947841760427995]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0002880741612223998, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.5620808068791465, 0.001471590092904873), 6.587163040850058e-9)
(r, orthogonality_tol) = ((1.3322676295501878e-15, 0.14413424933896615), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products
d = [10.868069474659363, 9.170427809371748, 9.17038904378585, 8.842824483076887, 8.842802011056335, 6.981947216893837, 6.981947216893661, 6.934229774844623, 5.608341521460251, 5.608341521460156, 5.499557496838407, 5.4995574968379035, 3.1503995036565535, 3.150399503656095, 0.3947841760439918, 0.39478417604369287, 0.39478417604360727, 0.39478417604340926, 0.3947841760429767, 0.39478417604279215]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.07847385854814336, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.70124778190676, 5.13856579384601), 1.047328529861579e-8)
(r, orthogonality_tol) = ((1.1102230246251565e-15, 0.7800878408473229), 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 = [3.7055027959574516, 0.3947841760432186, 0.39478417604321814]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.16641872265064864, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.850578233551749e-13, 7.68436835271884e-14), 3.3107186199138772e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.9999828968788476), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.7055027959574396, 1.1180449379230246, 0.6045539970995988, 0.4014613822652216, 0.39478417604327487, 0.394784176043141]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18856332456674593, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((1.7287106125567475, 0.7177559547183973), 3.3107186199138652e-9)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.9908005409679383), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products
d = [6.812550809525735, 6.811378992869976, 3.7081912731447355, 3.7055027959574565, 1.4195709528798446, 0.5423825003283756, 0.39478417604326127, 0.3947841760432564, 0.3947841760431584]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20435733270203438, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.851453940090214, 1.942948319633349), 6.417766633482162e-9)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.9953444083585893), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products
d = [13.240336838389254, 10.39164820519723, 8.393836440418317, 6.812550809525617, 6.811378992869962, 3.705502795957459, 3.705502795957415, 0.5958269676900924, 0.39478417604331545, 0.39478417604323146, 0.3947841760432244, 0.3947841760431171]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2165806009340791, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.3101437303179325e-13, 0.7584236816798651), 1.284555266234568e-8)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.9749332027541893), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products
d = [18.18290291863993, 13.24033683838929, 10.39164820519725, 8.393836440418331, 8.393836440418278, 6.812558374379181, 6.812550809525627, 6.811381006473892, 6.811378992869948, 3.705502795957461, 3.7055027959574214, 0.3947841760437071, 0.3947841760433513, 0.39478417604329646, 0.39478417604323734, 0.39478417604317684, 0.394784176043103]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.12841208022515094, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.7836400679225335e-13, 3.4833342025221725), 1.7788118742596354e-8)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.43546836392553046), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products
d = [13.24033683838927, 10.39164820519727, 8.39383644041836, 8.39383644041828, 6.880675129184186, 6.812550887070547, 6.8125508095256455, 6.812550809525614, 6.8123827185016514, 6.81137900560353, 6.811378992870012, 6.811378992869944, 3.705502795957457, 3.705502795957411, 0.39478417604335103, 0.39478417604329563, 0.3947841760432368, 0.3947841760431763, 0.3947841760431588, 0.3947841760431028]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.14065016249500154, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((20.756440792726625, 1.1421630223091448), 1.2845552662345697e-8)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.17796892401015707), 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 = [0.39478417604537147, 0.3947841760447718, 0.39478417604470306]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.6275705148241357e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.618281070664969e-13, 1.6545208087627168e-12), 1.0e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.9990841889192537), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products
d = [3.0767303756385624, 3.051076247965546, 0.4093515694676778, 0.394784176046874, 0.3947841760445702, 0.39478417604334237]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.26052553321157423, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.3092638912203256e-13, 7.487280474772637e-9), 2.6819461995949882e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.5715519513800368), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 50 matrix-vector products
d = [5.281714563004074, 3.0767303756385598, 3.0510762479655393, 0.39512210147626864, 0.39483030715761397, 0.39478766382759883, 0.39478417604691707, 0.39478417604454136, 0.39478417604329186]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0022165970314660527, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.0008220089656836294, 0.004714232645981161), 4.8869303869605e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.5584181627409678), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 48 matrix-vector products
d = [5.3239899740445695, 5.298531832678334, 5.285269082707382, 3.076730375638557, 3.0510762479655367, 1.548889384460525, 0.5121995571917645, 0.39478443519424217, 0.39478420430695405, 0.3947841760473323, 0.39478417604467625, 0.39478417604274557]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.09786234227141799, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((5.7257879927139825, 0.8969276523366827), 4.929205798000996e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.7771627817482888), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products
d = [6.890571626976335, 6.8859644282929, 6.697866727788146, 5.452181915019935, 5.4418369613047926, 5.438341233001282, 5.323949227612059, 5.298268466789284, 5.282518730997731, 3.0767303756385567, 3.0510762479655344, 0.3947841760473352, 0.39478417604590665, 0.3947841760449872, 0.39478417604457766, 0.39478417604405336, 0.3947841760427385]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.1600813984294422e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.71231590551945e-13, 1.99606169135271e-10), 6.495787450932762e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.4153775449595875), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 82 matrix-vector products
d = [8.543903874023545, 8.513033696397779, 8.49494714752211, 6.890571626976335, 6.885964428292918, 6.6978667277881545, 5.452181915019957, 5.441836961304794, 5.4383412330012755, 5.323949227612062, 5.298268466789278, 5.282518730997738, 3.076730375638551, 3.0510762479655296, 0.3947841760473352, 0.3947841760460335, 0.3947841760451599, 0.3947841760446236, 0.3947841760437086, 0.3947841760427383]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.065130267617913e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.4513724383723456e-13, 3.2995225083404245e-8), 8.149119697979971e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.04370729112063031), 1.0e-9)
     Testing VibrationGEPHelpers tests passed 

Testing completed after 230.2s

PkgEval succeeded after 285.1s