Package evaluation of VibrationGEPHelpers on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T06:38:12.425 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 4.6s ################################################################################ # Installation # Installing VibrationGEPHelpers... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [3f428ce3] + VibrationGEPHelpers v0.1.3 Updating `~/.julia/environments/v1.10/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 v1.3.0 [90137ffa] + StaticArrays v1.9.12 [1e83bf80] + StaticArraysCore v1.4.3 [f42569b2] + SubSIt v1.1.8 [3f428ce3] + VibrationGEPHelpers v0.1.3 ⌅ [68821587] + Arpack_jll v3.5.1+1 [0dad84c5] + ArgTools v1.1.1 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching [b77e0a4c] + InteractiveUtils [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.10.0 [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.4.0+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [14a3606d] + MozillaCACerts_jll v2023.1.10 [4536629a] + OpenBLAS_jll v0.3.23+4 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.52.0+1 [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 To see why use `status --outdated -m` Installation completed after 4.89s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 22.72s ################################################################################ # Testing # Testing VibrationGEPHelpers Status `/tmp/jl_Mds2VF/Project.toml` [aa547a04] DataDrop v0.1.5 [8bb1440f] DelimitedFiles v1.9.1 [3f428ce3] VibrationGEPHelpers v0.1.3 [37e2e46d] LinearAlgebra [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [8dfed614] Test Status `/tmp/jl_Mds2VF/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 v1.3.0 [90137ffa] StaticArrays v1.9.12 [1e83bf80] StaticArraysCore v1.4.3 [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 [458c3c95] OpenSSL_jll v3.0.16+0 [477f73a3] libaec_jll v1.1.3+0 [0dad84c5] ArgTools v1.1.1 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching [b77e0a4c] InteractiveUtils [4af54fe1] LazyArtifacts [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.10.0 [de0858da] Printf [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [6462fe0b] Sockets [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [14a3606d] MozillaCACerts_jll v2023.1.10 [4536629a] OpenBLAS_jll v0.3.23+4 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [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 15 matrix-vector products d = [3.150399503656103, 0.39478417604356764, 0.3947841760430094] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.18385110681319364, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.858612315508318e-13, 2.2113516431781587e-13), 2.755615327612529e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.5233917574496711), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products d = [3.1503995036562285, 1.5937368292923968, 1.1253737595718187, 0.5921057605275603, 0.3947841760437383, 0.3947841760428418] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.24472421783334902, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((1.8057279801785548, 0.7073418926592048), 2.7556153276126543e-9) (r, orthogonality_tol) = ((1.5543122344752192e-15, 0.9681795478701906), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 32 matrix-vector products d = [5.608341521460273, 5.4995574968383085, 3.1503995036560997, 3.150391815323443, 0.5571930393316602, 0.3947941272787474, 0.39478417604614435, 0.39478417604374416, 0.3947841760428557] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20051686880247507, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((8.715265822800689e-6, 0.0006141237643394184), 5.2135573454167e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.10861229867197768), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 36 matrix-vector products d = [6.981947216893973, 6.934229774844634, 5.608341521460239, 5.529236213057555, 5.4995574968383805, 3.1503995036595436, 3.1503995036561085, 0.3947845315252588, 0.39478417623586454, 0.39478417604392246, 0.3947841760434389, 0.39478417604281646] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.20071770971188282, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.0797075812595267e-6, 0.04518383807136739), 6.587163040850399e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.016397004915235793), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 58 matrix-vector products d = [8.842824483076695, 6.981947216893822, 6.981947179706624, 6.934229774844649, 5.608341521460243, 5.608198340093056, 5.499559660671792, 5.499557496838329, 5.499557378365062, 3.1503995036565655, 3.1503995036561068, 0.3947983568774274, 0.3947841760439844, 0.39478417604361604, 0.39478417604341104, 0.3947841760429757, 0.3947841760427981] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.04836916647552684, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.6708700907286884, 0.0019238320924071012), 8.448040307033122e-9) (r, orthogonality_tol) = ((1.3322676295501878e-15, 0.12900769825409067), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 54 matrix-vector products d = [10.868069474659439, 9.170427809371702, 9.170388256788389, 8.842824483076857, 8.842803380555376, 6.981947216893802, 6.981947216893726, 6.934229774844638, 5.608341521460259, 5.608341521460146, 5.4995574968383965, 5.499557496838278, 3.150399503656562, 3.1503995036561028, 0.39478417604399146, 0.39478417604364857, 0.3947841760436349, 0.39478417604342275, 0.39478417604298033, 0.3947841760427923] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.07847386990981513, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.7012464124071442, 6.264592967206624), 1.0473285298615866e-8) (r, orthogonality_tol) = ((1.6653345369377348e-15, 0.9782685899480146), 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 = [3.705502795957451, 0.39478417604323646, 0.39478417604323296] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.1664187226506478, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.159129540860363e-13, 4.159986714283727e-14), 3.310718619913877e-9) (r, orthogonality_tol) = ((2.220446049250313e-16, 0.9980995775052576), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 25 matrix-vector products d = [3.705502795957441, 1.712102501065415, 0.5045593117506941, 0.40397350487025946, 0.39478417604328453, 0.3947841760431659] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.19927400962777322, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.10081982487726959, 0.10792357971031498), 3.310718619913867e-9) (r, orthogonality_tol) = ((3.3306690738754696e-16, 0.9810905953757092), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 28 matrix-vector products d = [6.8125508095257015, 6.811378992870273, 3.7064137070757037, 3.705502795957457, 3.068642945206434, 0.449726332176149, 0.39478417604328164, 0.39478417604322613, 0.39478417604316063] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2340551564120232, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((7.944110108242412, 2.032216109820575), 6.417766633482128e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.9367264017247214), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 30 matrix-vector products d = [13.240336838389243, 10.391648205197216, 8.393836440418307, 6.812550809525671, 6.811378992869927, 3.7055027959574502, 3.705502795957416, 0.6082240005143984, 0.394784176043342, 0.394784176043234, 0.3947841760432093, 0.39478417604312643] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.21681988308166794, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.8902214782865485e-13, 1.2675031567487791), 1.2845552662345671e-8) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.7267133802979838), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 46 matrix-vector products d = [18.182902918639982, 13.24033683838925, 10.391648205197209, 8.393836440418367, 8.3938364404183, 6.812557646443554, 6.812550809525724, 6.811399905857582, 6.811378992869952, 3.7055027959574525, 3.705502795957411, 0.39478417604335114, 0.3947841760432951, 0.39478417604323707, 0.39478417604320215, 0.39478417604317456, 0.39478417604310306] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.12841208022569287, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((3.765203798888646e-13, 3.9379356274722452), 1.7788118742596407e-8) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.49230027474760896), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 61 matrix-vector products d = [10.391648205197246, 8.39383644041833, 8.393836440418315, 7.068776260947707, 6.812552327977404, 6.812550809525635, 6.812550809525624, 6.8121929414935485, 6.811379654812461, 6.811378992870012, 6.811378992869946, 3.705502795957457, 3.7055027959574174, 0.3947841760433517, 0.3947841760432968, 0.3947841760432959, 0.39478417604323734, 0.39478417604317745, 0.3947841760431591, 0.39478417604310345] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.25779684394476915, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((20.6479914518225, 12.613035901793003), 9.996864029153673e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.9818990457892425), 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 = [0.3947841760453276, 0.3947841760448898, 0.3947841760447464] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.6728367523537607e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((4.3097235032227033e-13, 1.7384013996780187e-12), 1.0e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.996285546444422), 1.0e-9) [ Info: Number of eigenvalues 6 history = Converged: 6 of 6 eigenvalues in 26 matrix-vector products d = [3.076730375638553, 3.0510762479655376, 0.41031196874934744, 0.3947841760469524, 0.39478417604452665, 0.39478417604328825] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.2605489036978377, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.041457280999026e-13, 6.755830997308422e-9), 2.6819461995949787e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.5606591297149917), 1.0e-9) [ Info: Number of eigenvalues 9 history = Converged: 9 of 9 eigenvalues in 52 matrix-vector products d = [5.28225970020998, 3.0767303756385593, 3.0510762479655424, 0.3951370661832599, 0.39482949041645937, 0.39478591815322617, 0.39478417604691407, 0.39478417604446875, 0.39478417604336585] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0022517078231521228, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.0002595789129582471, 0.0026465862543767803), 4.887475524166406e-9) (r, orthogonality_tol) = ((6.661338147750939e-16, 0.6212775554843941), 1.0e-9) [ Info: Number of eigenvalues 12 history = Converged: 12 of 12 eigenvalues in 45 matrix-vector products d = [5.323994844624756, 5.298472454563313, 5.282829749421167, 3.076730375638559, 3.051076247965537, 2.0375459019896565, 0.47410796856347504, 0.39478446174111215, 0.39478422529348345, 0.3947841760473322, 0.39478417604467286, 0.39478417604274596] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.0819607848671118, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((8.598559380404607, 0.896431189451939), 4.929210668581182e-9) (r, orthogonality_tol) = ((7.771561172376096e-16, 0.5456854312424072), 1.0e-9) [ Info: Number of eigenvalues 17 history = Converged: 17 of 17 eigenvalues in 52 matrix-vector products d = [6.8860126798046135, 6.697866816324078, 5.4521823951934225, 5.4418763698150165, 5.438396981991143, 5.323949235353568, 5.298268483539708, 5.282523096291924, 3.0767303756385593, 3.0510762479655416, 1.4148895880637562, 0.5268717350163465, 0.39478417604733546, 0.3947841760450277, 0.3947841760445844, 0.3947841760442556, 0.39478417604273924] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (0.10773807933121213, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((0.11594941281973203, 0.12817490157790606), 6.49122850376104e-9) (r, orthogonality_tol) = ((8.881784197001252e-16, 0.970378304925891), 1.0e-9) [ Info: Number of eigenvalues 20 history = Converged: 20 of 20 eigenvalues in 75 matrix-vector products d = [8.543903874023613, 8.513033696397782, 8.494947147522128, 6.890571626976359, 6.885964428292927, 6.697866727788179, 5.452181915019949, 5.44183696130478, 5.43834123300127, 5.323949227612048, 5.298268466789277, 5.282518730997738, 3.076730375638556, 3.051076247965537, 0.39478417604733546, 0.3947841760460257, 0.3947841760451616, 0.39478417604462307, 0.394784176043715, 0.394784176042738] (norm(fs1 - fs[1:length(fs1)]) / norm(fs), frequency_tol) = (1.0662927111167334e-7, 1.0e-6) (r, max(10000 * eps(1.0), orthogonality_tol * max(maximum(d), 1.0))) = ((2.779998453661392e-13, 9.007253470860732e-9), 8.149119697980039e-9) (r, orthogonality_tol) = ((4.440892098500626e-16, 0.06258554515121661), 1.0e-9) Testing VibrationGEPHelpers tests passed Testing completed after 193.09s PkgEval succeeded after 235.72s