Package evaluation of VibrationGEPHelpers on Julia 1.11.5 (32ac370b68*) started at 2025-06-29T08:24:44.618


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 7.7s


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

Installing VibrationGEPHelpers...
   Resolving package versions...
    Updating `~/.julia/environments/v1.11/Project.toml`
  [3f428ce3] + VibrationGEPHelpers v0.1.3
    Updating `~/.julia/environments/v1.11/Manifest.toml`
  [79e6a3ab] + Adapt v4.3.0
⌅ [ec485272] + ArnoldiMethod v0.2.0
⌅ [7d9fca2a] + Arpack v0.5.3
  [d360d2e6] + ChainRulesCore v1.25.2
  [34da2185] + Compat v4.16.0
⌅ [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
  [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 v1.11.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [2f01184e] + SparseArrays 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 v1.1.1+0
  [deac9b47] + LibCURL_jll v8.6.0+0
  [e37daf67] + LibGit2_jll v1.7.2+0
  [29816b5a] + LibSSH2_jll v1.11.0+1
  [c8ffd9c3] + MbedTLS_jll v2.28.6+0
  [14a3606d] + MozillaCACerts_jll v2023.12.12
  [4536629a] + OpenBLAS_jll v0.3.27+1
  [bea87d4a] + SuiteSparse_jll v7.7.0+0
  [83775a58] + Zlib_jll v1.2.13+1
  [8e850b90] + libblastrampoline_jll v5.11.0+0
  [8e850ede] + nghttp2_jll v1.59.0+0
  [3f19e933] + p7zip_jll v17.4.0+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 2.01s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 27.88s


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

     Testing VibrationGEPHelpers
      Status `/tmp/jl_amPnfd/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 v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_amPnfd/Manifest.toml`
  [79e6a3ab] Adapt v4.3.0
⌅ [ec485272] ArnoldiMethod v0.2.0
⌅ [7d9fca2a] Arpack v0.5.3
  [d360d2e6] ChainRulesCore v1.25.2
  [34da2185] Compat v4.16.0
  [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 v1.2.1
  [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 v2.12.1+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
  [458c3c95] OpenSSL_jll v3.5.0+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
  [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 v1.11.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization v1.11.0
  [2f01184e] SparseArrays 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 v1.1.1+0
  [deac9b47] LibCURL_jll v8.6.0+0
  [e37daf67] LibGit2_jll v1.7.2+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.6+0
  [14a3606d] MozillaCACerts_jll v2023.12.12
  [4536629a] OpenBLAS_jll v0.3.27+1
  [bea87d4a] SuiteSparse_jll v7.7.0+0
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
  [8e850ede] nghttp2_jll v1.59.0+0
  [3f19e933] p7zip_jll v17.4.0+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 = [3.1503995036565215, 0.3947841760433875, 0.3947841760430906]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18385110681321085, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.968914005700845e-13, 1.1527977961247073e-13), 2.755615327612947e-9)
(r, orthogonality_tol) = ((5.551115123125783e-16, 0.7791593051155277), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.1503995036561054, 0.85627748560666, 0.8459458490644158, 0.692100753698233, 0.3947841760437452, 0.394784176042863]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.22055173331849137, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.10671076984651018, 0.4341879333743205), 2.755615327612531e-9)
(r, orthogonality_tol) = ((1.3322676295501878e-15, 0.9974554928499634), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products
d = [5.608341521460233, 5.499557496838238, 3.1503995036561028, 3.1503532333149065, 0.4197233751694607, 0.3947969205467064, 0.39478417604493093, 0.3947841760437405, 0.39478417604285665]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.1962659773418463, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.909189258839319e-5, 0.0014575586695652894), 5.213557345416659e-9)
(r, orthogonality_tol) = ((1.5543122344752192e-15, 0.198227937454932), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products
d = [6.9819472168939045, 6.934229774844626, 5.6083415214602645, 5.585115122511508, 5.499557496838269, 3.1503995038075843, 3.1503995036565553, 0.3947846484038139, 0.39478417620299044, 0.39478417604394744, 0.3947841760433693, 0.39478417604281263]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20072726207462843, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((8.683054817382185e-7, 0.00015005107747356885), 6.587163040850331e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.006737975706875621), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 64 matrix-vector products
d = [6.981947075909502, 6.934229774844645, 6.648796388921259, 5.6083415214602645, 5.608329095594999, 5.607458504324495, 5.500101393269399, 5.499557496837894, 5.499556876058553, 3.150399503656558, 3.1503995036561045, 0.39485532477404706, 0.39478417604398813, 0.394784176043594, 0.39478417604339944, 0.39478417604297494, 0.39478417604279714]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.006403088381206731, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((6.587091751135739, 8.753725930761938), 6.5871628998659284e-9)
(r, orthogonality_tol) = ((1.5543122344752192e-15, 0.9975063341718549), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products
d = [10.86806947465929, 9.170427809371812, 9.170347343856719, 8.842824483076914, 8.842799214099545, 6.981947216893969, 6.981947216892873, 6.934229774844662, 5.608341521460267, 5.608341521460154, 5.499557496838186, 5.499557496838087, 3.150399503656558, 3.1503995036560983, 0.394784176043991, 0.3947841760436431, 0.3947841760436397, 0.3947841760434253, 0.39478417604297966, 0.39478417604279187]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.07847377157723312, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.951554938495116, 4.855057054147447), 1.0473285298615717e-8)
(r, orthogonality_tol) = ((1.1102230246251565e-15, 0.9987083007027443), 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 = [3.7055027959574183, 0.39478417604324256, 0.3947841760432411]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.1664187226506466, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.197442310920451e-13, 3.989953810090267e-14), 3.310718619913844e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.9996529154579624), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products
d = [3.7055027959574356, 1.3652076480990218, 0.5483170143611044, 0.39898845698976276, 0.39478417604330956, 0.39478417604317145]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.19269819230364316, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.12945791803392517, 0.15290477791539453), 3.3107186199138615e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.9922685342388899), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products
d = [6.812550809525752, 6.811378992870192, 3.7171057380410586, 3.7055027959574325, 1.7836128591479052, 0.5031531312611836, 0.3947841760433021, 0.3947841760432142, 0.3947841760431772]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21090082319232578, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.890683309157373, 1.4004047216472395), 6.4177666334821784e-9)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.8623114948674184), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products
d = [13.24033683838925, 10.391648205197232, 8.393836440418275, 6.8125508095256695, 6.811378992870015, 3.7055027959574427, 3.705502795957427, 0.4673150327115095, 0.39478417604334404, 0.3947841760432303, 0.3947841760432192, 0.3947841760431093]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2140843639338878, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.3928415632544784e-13, 2.6842632536449877), 1.2845552662345677e-8)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.934085093568104), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products
d = [18.182902918639996, 13.240336838389242, 10.391648205197246, 8.393836440418369, 8.39383644041832, 6.812556499634634, 6.81255080952566, 6.81139507489269, 6.811378992869939, 3.7055027959574565, 3.7055027959574054, 0.39478417604349575, 0.3947841760433512, 0.39478417604329596, 0.39478417604323707, 0.39478417604317606, 0.39478417604310284]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.128412080225443, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.979039320256561e-13, 5.670405228166729), 1.7788118742596423e-8)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.7088846329234184), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products
d = [13.240336838389283, 10.391648205197225, 8.393836440418328, 8.393836440418326, 6.874745365277588, 6.812550884138187, 6.812550809525626, 6.812550809525622, 6.812102559316273, 6.811379038118217, 6.81137899287001, 6.811378992869974, 3.705502795957457, 3.705502795957412, 0.3947841760433513, 0.3947841760432968, 0.3947841760432372, 0.39478417604317695, 0.3947841760431597, 0.3947841760431029]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.14066969879035962, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((17.83581280342309, 7.9969805447472515), 1.2845552662345709e-8)
(r, orthogonality_tol) = ((8.881784197001252e-16, 0.9997410043641058), 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 = [0.39478417604532634, 0.39478417604494337, 0.39478417604489935]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.7448662796761165e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.9198823430960077e-13, 1.6766426327090558e-12), 1.0e-9)
(r, orthogonality_tol) = ((2.220446049250313e-16, 0.9996762208067084), 1.0e-9)
[ Info: Number of eigenvalues 6
history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products
d = [3.07673037563855, 3.05107624796554, 0.4187102526722828, 0.3947841760469533, 0.39478417604453225, 0.39478417604327]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2607531796815186, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.531308496145357e-13, 6.724429180072371e-9), 2.681946199594976e-9)
(r, orthogonality_tol) = ((4.440892098500626e-16, 0.5485431583155241), 1.0e-9)
[ Info: Number of eigenvalues 9
history = Converged: 9 of 9 eigenvalues in 50 matrix-vector products
d = [5.279677991224631, 3.0767303756385647, 3.0510762479655447, 0.3954318092198561, 0.3950270916701422, 0.39485215655735834, 0.3947841760469088, 0.3947841760445492, 0.39478417604329485]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.003486739227867153, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.003016412210413044, 0.009079644742207259), 4.884893815181057e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.5556202129409284), 1.0e-9)
[ Info: Number of eigenvalues 12
history = Converged: 12 of 12 eigenvalues in 48 matrix-vector products
d = [5.323949535696918, 5.314174039425127, 5.298268198610543, 3.07673037563856, 3.0510762479655433, 2.659838444189121, 0.4466860950936032, 0.39478440665866826, 0.39478419148520233, 0.39478417604733207, 0.3947841760446782, 0.39478417604274846]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.07092447396695412, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.20142428951439, 0.6861662168188354), 4.929165359653344e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.3029358770599475), 1.0e-9)
[ Info: Number of eigenvalues 17
history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products
d = [6.890571626976346, 6.885964428292916, 6.6978667277881625, 5.452181915019932, 5.441836961304767, 5.438341233001251, 5.323949227612076, 5.298268466789288, 5.282518730997735, 3.076730375638558, 3.0510762479655353, 0.394784176047335, 0.3947841760459537, 0.3947841760449042, 0.3947841760445402, 0.3947841760441262, 0.3947841760427392]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.1841334373158675e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.4141045405891904e-13, 2.708060992550248e-10), 6.495787450932773e-9)
(r, orthogonality_tol) = ((6.661338147750939e-16, 0.5820079091771868), 1.0e-9)
[ Info: Number of eigenvalues 20
history = Converged: 20 of 20 eigenvalues in 75 matrix-vector products
d = [8.543903874023563, 8.513033696397791, 8.494947147522128, 6.890571626976338, 6.885964428292916, 6.69786672778815, 5.452181915019939, 5.441836961304772, 5.438341233001254, 5.3239492276120615, 5.298268466789283, 5.282518730997749, 3.076730375638558, 3.051076247965546, 0.3947841760473351, 0.3947841760459717, 0.3947841760451807, 0.3947841760446274, 0.3947841760437458, 0.39478417604273797]
(norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.0726759498017602e-7, 1.0e-6)
(r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.872457909892546e-13, 1.6376348730209878e-8), 8.14911969797999e-9)
(r, orthogonality_tol) = ((7.771561172376096e-16, 0.17349177764299573), 1.0e-9)
     Testing VibrationGEPHelpers tests passed 

Testing completed after 218.38s

PkgEval succeeded after 288.61s