Package evaluation of ControlSystemIdentification on Julia 1.13.0-DEV.1265 (cd62cf9a08*) started at 2025-10-08T11:11:23.358 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.87s ################################################################################ # Installation # Installing ControlSystemIdentification... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [3abffc1c] + ControlSystemIdentification v2.11.8 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.18.0 [621f4979] + AbstractFFTs v1.5.0 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.20.0 [0e736298] + Bessels v0.2.8 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.7 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [b0b7db55] + ComponentArrays v0.15.29 [187b0558] + ConstructionBase v1.6.0 [3abffc1c] + ControlSystemIdentification v2.11.8 [aaaaaaaa] + ControlSystemsBase v1.19.0 [adafc99b] + CpuId v0.3.1 [717857b8] + DSP v0.8.4 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.1 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [c78775a3] + DifferentiableFlatten v0.1.1 [a0c0ee7d] + DifferentiationInterface v0.7.8 [31c24e10] + Distributions v0.25.122 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [7a1cc6ca] + FFTW v1.10.0 [1a297f60] + FillArrays v1.14.0 [6a86dc24] + FiniteDiff v2.28.1 [f6369f11] + ForwardDiff v1.2.1 [c9556dd2] + ForwardDiffChainRules v0.3.0 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [c145ed77] + GenericSchur v0.5.6 [3e5b6fbb] + HostCPUFeatures v0.1.17 [e91730f6] + Hungarian v0.7.0 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [10f19ff3] + LayoutPointers v0.1.17 [50d2b5c4] + Lazy v0.15.1 [d3d80556] + LineSearches v7.4.0 [7a12625a] + LinearMaps v3.11.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [d9d29d28] + LowLevelParticleFilters v3.22.1 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [99c1a7ee] + MatrixEquations v2.5.6 [48965c70] + MatrixPencils v1.9.0 [bb5d69b7] + MaybeInplace v0.1.4 [e1d29d7a] + Missings v1.2.0 [0987c9cc] + MonteCarloMeasurements v1.5.1 [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [d9ec5142] + NamedTupleTools v0.14.3 [429524aa] + Optim v1.13.2 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [d96e819e] + Parameters v0.12.3 [f27b6e38] + Polynomials v4.1.0 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.43 [431bcebd] + SciMLPublic v1.0.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.6.1 [aedffcd0] + Static v1.3.0 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [4c63d2b9] + StatsFuns v1.5.0 [09ab397b] + StructArrays v0.7.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [028f657a] + TotalLeastSquares v1.7.7 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.72 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [856f044c] + MKL_jll v2025.2.0+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future 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 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.46.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.67.1+0 [3f19e933] + p7zip_jll v17.6.0+0 Installation completed after 6.82s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 84.16s ################################################################################ # Testing # Testing ControlSystemIdentification Status `/tmp/jl_rxxDHJ/Project.toml` [082447d4] ChainRules v1.72.6 [b0b7db55] ComponentArrays v0.15.29 [3abffc1c] ControlSystemIdentification v2.11.8 [aaaaaaaa] ControlSystemsBase v1.19.0 [717857b8] DSP v0.8.4 [8bb1440f] DelimitedFiles v1.9.1 [7a1cc6ca] FFTW v1.10.0 [1a297f60] FillArrays v1.14.0 [f6369f11] ForwardDiff v1.2.1 [c9556dd2] ForwardDiffChainRules v0.3.0 [0fc2ff8b] LeastSquaresOptim v0.8.7 [d9d29d28] LowLevelParticleFilters v3.22.1 [99c1a7ee] MatrixEquations v2.5.6 [0987c9cc] MonteCarloMeasurements v1.5.1 [429524aa] Optim v1.13.2 [d96e819e] Parameters v0.12.3 [91a5bcdd] Plots v1.41.1 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [1c904df7] SeeToDee v1.9.0 [90137ffa] StaticArrays v1.9.15 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.6 [028f657a] TotalLeastSquares v1.7.7 [b77e0a4c] InteractiveUtils v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_rxxDHJ/Manifest.toml` [47edcb42] ADTypes v1.18.0 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.20.0 [0e736298] Bessels v0.2.8 [d1d4a3ce] BitFlags v0.1.9 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [70df07ce] BracketingNonlinearSolve v1.5.0 [2a0fbf3d] CPUSummary v0.2.7 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [b0b7db55] ComponentArrays v0.15.29 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.6.0 [d38c429a] Contour v0.6.3 [3abffc1c] ControlSystemIdentification v2.11.8 [aaaaaaaa] ControlSystemsBase v1.19.0 [adafc99b] CpuId v0.3.1 [717857b8] DSP v0.8.4 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.1 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [c78775a3] DifferentiableFlatten v0.1.1 [a0c0ee7d] DifferentiationInterface v0.7.8 [31c24e10] Distributions v0.25.122 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.14 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [c87230d0] FFMPEG v0.4.4 [7a1cc6ca] FFTW v1.10.0 [9aa1b823] FastClosures v0.3.2 [442a2c76] FastGaussQuadrature v1.0.2 [1a297f60] FillArrays v1.14.0 [6a86dc24] FiniteDiff v2.28.1 [53c48c17] FixedPointNumbers v0.8.5 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.2.1 [c9556dd2] ForwardDiffChainRules 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Testing Running tests... [ Info: Testing estimate x0 typeof(sys) = StateSpace{Discrete{Int64}, Float64} typeof(sys) = PredictionStateSpace{Discrete{Int64}, StateSpace{Discrete{Int64}, Float64}, Matrix{Float64}, Diagonal{Bool, Vector{Bool}}, Diagonal{Bool, Vector{Bool}}, Nothing} [ Info: Testing prediction [ Info: Testing basis functions [ Info: Testing FRD arma fit ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (0) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 7.451727e+02 4.672533e+04 * time: 0.0918121337890625 5 1.041406e-25 6.539084e-10 * time: 2.4346730709075928 Iter Function value Gradient norm 0 1.105547e-26 1.804034e-12 * time: 0.00023603439331054688 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (0) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 7.451727e+02 4.672533e+04 * time: 0.0002319812774658203 5 7.794756e-26 2.921845e-10 * time: 0.278001070022583 Iter Function value Gradient norm 0 9.984974e-27 1.714167e-12 * time: 7.295608520507812e-5 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (1.0e-5) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 1.004070e+02 2.250572e+01 * time: 0.00023889541625976562 50 1.248803e-01 6.250581e-01 * time: 0.4444429874420166 100 6.550673e-02 1.002605e-02 * time: 0.7015368938446045 150 6.327851e-02 3.009234e-02 * time: 0.9688429832458496 200 6.251356e-02 6.636256e-03 * time: 1.2510180473327637 250 6.219407e-02 6.234767e-03 * time: 1.5087058544158936 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (1.0e-5) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 1.486463e+02 1.816857e+01 * time: 0.0002231597900390625 50 1.058760e-01 4.566662e-01 * time: 0.4192180633544922 100 6.557090e-02 8.364395e-03 * time: 0.6960000991821289 150 6.480374e-02 1.975352e-02 * time: 0.992976188659668 200 6.292258e-02 1.833786e-02 * time: 1.229795217514038 250 6.245479e-02 1.031753e-02 * time: 1.5202631950378418 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (1.0e-5) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 8.277165e+01 2.091828e+01 * time: 5.602836608886719e-5 50 7.663189e-02 1.876449e-01 * time: 0.3838210105895996 100 6.432389e-02 4.655714e-02 * time: 0.666607141494751 150 6.237110e-02 1.620888e-03 * time: 0.9445321559906006 200 6.220531e-02 7.866881e-03 * time: 1.2256431579589844 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (1.0e-5) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 1.179622e+02 2.136348e+01 * time: 0.00022101402282714844 50 7.977155e-02 4.065411e-01 * time: 0.40559911727905273 100 6.228490e-02 5.843805e-03 * time: 0.6884610652923584 150 6.216984e-02 2.410470e-03 * time: 1.0034561157226562 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (1.0e-5) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 7.065919e+01 2.349316e+01 * time: 0.0002300739288330078 50 1.155577e-01 1.014258e-01 * time: 0.1845569610595703 100 1.081242e-01 3.269462e-02 * time: 0.32486701011657715 150 1.070050e-01 8.718616e-03 * time: 0.4743690490722656 200 1.068692e-01 5.189394e-04 * time: 0.6034071445465088 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (1.0e-5) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 8.332089e+01 2.129355e+01 * time: 0.00021600723266601562 50 1.080393e-01 6.152186e-02 * time: 0.18119502067565918 100 1.068809e-01 3.863840e-03 * time: 0.3243839740753174 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (1.0e-5) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 7.887656e+01 2.362073e+01 * time: 0.00022292137145996094 50 1.079569e-01 1.359658e-02 * time: 0.19989991188049316 100 1.070684e-01 3.413471e-02 * time: 0.35033607482910156 ┌ Warning: x_tol is deprecated. Use x_abstol or x_reltol instead. The provided value (1.0e-5) will be used as x_abstol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:110 ┌ Warning: f_tol is deprecated. Use f_abstol or f_reltol instead. The provided value (0) will be used as f_reltol. └ @ Optim ~/.julia/packages/Optim/7krni/src/types.jl:120 Iter Function value Gradient norm 0 1.435364e+02 1.858243e+01 * time: 0.00021195411682128906 50 1.129819e-01 2.988029e-02 * time: 0.18338298797607422 100 1.076050e-01 4.682964e-02 * time: 0.3215169906616211 150 1.068692e-01 8.156568e-04 * time: 0.4695408344268799 [ Info: Testing Frequency weights WARNING: Method definition freqresptest(Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/runtests.jl:29 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_frequency_weights.jl:4. WARNING: Method definition freqresptest(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/runtests.jl:32 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_frequency_weights.jl:9. [ Info: Testing Utils [ Info: Testing iddata [ Info: Testing iddata d = iddata(y) = Output data of length 100 with 1 outputs, Ts = nothing d = iddata(y, u) = InputOutput data of length 100, 1 outputs, 1 inputs, Ts = nothing [ Info: Testing second indexing d = iddata(y) = Output data of length 10 with 2 outputs, Ts = nothing d = iddata(y, u) = InputOutput data of length 10, 2 outputs, 3 inputs, Ts = nothing [ Info: Transposing input. The convention used in ControlSystemIdentification is that input-output data is made out of either of 1) Vectors with scalars, 2) vectors of vectors or 3) matrices with time along the second dimension. The supplied input appears to be multidimensional and have time in the first dimension. d = iddata(y, u, 2) = InputOutput data of length 10, 2 outputs, 3 inputs, Ts = 2 d = iddata(y) = Output data of length 100 with 2 outputs, Ts = nothing d = iddata(y, u) = InputOutput data of length 100, 2 outputs, 3 inputs, Ts = nothing [ Info: Transposing input. The convention used in ControlSystemIdentification is that input-output data is made out of either of 1) Vectors with scalars, 2) vectors of vectors or 3) matrices with time along the second dimension. The supplied input appears to be multidimensional and have time in the first dimension. d = iddata(y, u, 2) = InputOutput data of length 100, 2 outputs, 3 inputs, Ts = 2 [ Info: Testing Subspace WARNING: Method definition freqresptest(Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_frequency_weights.jl:4 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_subspace.jl:5. WARNING: Method definition freqresptest(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_frequency_weights.jl:9 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_subspace.jl:8. [ Info: Testing n4sid and era/okid (r, m, l) = (1, 1, 1) ┌ Warning: Cross-covariance sys.S is ignored when forming the Kalman filter. The infinite horizon Kalman gain will be [0.0007092809608208502;;] instead of [-0.07131255989532291;;] └ @ ControlSystemIdentification ~/.julia/packages/ControlSystemIdentification/3DB0B/src/subspace.jl:244 (r, m, l) = (1, 1, 2) ┌ Warning: Cross-covariance sys.S is ignored when forming the Kalman filter. The infinite horizon Kalman gain will be [-0.0009303062836883182 0.001305487065103942] instead of [-0.010885619923362667 -0.015236413656143056] └ @ ControlSystemIdentification ~/.julia/packages/ControlSystemIdentification/3DB0B/src/subspace.jl:244 (r, m, l) = (1, 2, 1) ┌ Warning: Cross-covariance sys.S is ignored when forming the Kalman filter. The infinite horizon Kalman gain will be [0.0005585054201155879;;] instead of [-0.001437755797312346;;] └ @ ControlSystemIdentification ~/.julia/packages/ControlSystemIdentification/3DB0B/src/subspace.jl:244 (r, m, l) = (1, 2, 2) ┌ Warning: Cross-covariance sys.S is ignored when forming the Kalman filter. The infinite horizon Kalman gain will be [-0.0008440320883800271 0.008168542881920838] instead of [-0.005611508496902864 0.0034411523694129723] └ @ ControlSystemIdentification ~/.julia/packages/ControlSystemIdentification/3DB0B/src/subspace.jl:244 (r, m, l) = (2, 1, 1) ┌ Warning: Cross-covariance sys.S is ignored when forming the Kalman filter. The infinite horizon Kalman gain will be [0.0001743945101243698; -0.0002602812237228348;;] instead of [0.0031604772413917903; 0.28590537942001004;;] └ @ ControlSystemIdentification ~/.julia/packages/ControlSystemIdentification/3DB0B/src/subspace.jl:244 (r, m, l) = (2, 1, 2) (r, m, l) = (2, 2, 1) (r, m, l) = (2, 2, 2) (r, m, l) = (3, 1, 1) (r, m, l) = (3, 1, 2) (r, m, l) = (3, 2, 1) (r, m, l) = (3, 2, 2) (r, m, l) = (4, 1, 1) (r, m, l) = (4, 1, 2) (r, m, l) = (4, 2, 1) (r, m, l) = (4, 2, 2) (r, m, l) = (5, 1, 1) (r, m, l) = (5, 1, 2) (r, m, l) = (5, 2, 1) (r, m, l) = (5, 2, 2) [ Info: Testing subspaceid (nx, m, l) = (1, 1, 1) (nx, m, l) = (1, 1, 2) (nx, m, l) = (1, 2, 1) (nx, m, l) = (1, 2, 2) (nx, m, l) = (2, 1, 1) (nx, m, l) = (2, 1, 2) (nx, m, l) = (2, 2, 1) (nx, m, l) = (2, 2, 2) (nx, m, l) = (3, 1, 1) (nx, m, l) = (3, 1, 2) (nx, m, l) = (3, 2, 1) (nx, m, l) = (3, 2, 2) (nx, m, l) = (4, 1, 1) (nx, m, l) = (4, 1, 2) (nx, m, l) = (4, 2, 1) (nx, m, l) = (4, 2, 2) (nx, m, l) = (5, 1, 1) (nx, m, l) = (5, 1, 2) (nx, m, l) = (5, 2, 1) (nx, m, l) = (5, 2, 2) [ Info: Testing Balreal [ Info: Testing similarity transform [ Info: Testing subspaceid freq domain zeroD = true [ Info: Estimating with r = 8 and stability constraint = true zeroD = false [ Info: Estimating with r = 8 and stability constraint = true [ Info: Estimating with r = 15 and stability constraint = true [ Info: Estimating with r = 15 and stability constraint = true [ Info: Testing muli_era [ Info: Testing pem Iter Function value Gradient norm 0 4.858500e-10 5.600595e-07 * time: 0.0002689361572265625 100 2.670522e-10 1.740424e-08 * time: 2.431529998779297 Iter Function value Gradient norm 0 1.824064e-04 4.683269e-02 * time: 0.00012183189392089844 ┌ Warning: Assignment to `sysh` in soft scope is ambiguous because a global variable by the same name exists: `sysh` will be treated as a new local. Disambiguate by using `local sysh` to suppress this warning or `global sysh` to assign to the existing global variable. └ @ ~/.julia/packages/ControlSystemIdentification/3DB0B/test/test_pem.jl:55 ┌ Warning: Assignment to `x0h` in soft scope is ambiguous because a global variable by the same name exists: `x0h` will be treated as a new local. Disambiguate by using `local x0h` to suppress this warning or `global x0h` to assign to the existing global variable. └ @ ~/.julia/packages/ControlSystemIdentification/3DB0B/test/test_pem.jl:55 ┌ Warning: Assignment to `opt` in soft scope is ambiguous because a global variable by the same name exists: `opt` will be treated as a new local. Disambiguate by using `local opt` to suppress this warning or `global opt` to assign to the existing global variable. └ @ ~/.julia/packages/ControlSystemIdentification/3DB0B/test/test_pem.jl:55 Iter Function value √(Σ(yᵢ-ȳ)²)/n ------ -------------- -------------- 0 1.481309e+01 3.883067e+50 * time: 0.0003008842468261719 5000 1.303859e-03 4.754919e-11 * time: 1.937242031097412 10000 1.302218e-03 1.075546e-10 * time: 3.8174588680267334 Iter Function value √(Σ(yᵢ-ȳ)²)/n ------ -------------- -------------- 0 2.000811e+01 2.813070e+55 * time: 0.00031495094299316406 Iter Function value Gradient norm 0 7.646573e+00 1.359511e+04 * time: 0.0002551078796386719 Iter Function value Gradient norm 0 2.465943e+01 4.593324e+04 * time: 0.00024580955505371094 Iter Function value Gradient norm 0 6.108882e+00 4.194541e+03 * time: 0.0002460479736328125 Iter Function value Gradient norm 0 3.151859e+00 1.691768e+03 * time: 0.00023984909057617188 Iter Function value Gradient norm 0 5.662421e+00 2.161986e+02 * time: 0.00022292137145996094 ┌ Warning: Assignment to `sysh` in soft scope is ambiguous because a global variable by the same name exists: `sysh` will be treated as a new local. Disambiguate by using `local sysh` to suppress this warning or `global sysh` to assign to the existing global variable. └ @ ~/.julia/packages/ControlSystemIdentification/3DB0B/test/test_pem.jl:74 ┌ Warning: Assignment to `x0h` in soft scope is ambiguous because a global variable by the same name exists: `x0h` will be treated as a new local. Disambiguate by using `local x0h` to suppress this warning or `global x0h` to assign to the existing global variable. └ @ ~/.julia/packages/ControlSystemIdentification/3DB0B/test/test_pem.jl:74 ┌ Warning: Assignment to `opt` in soft scope is ambiguous because a global variable by the same name exists: `opt` will be treated as a new local. Disambiguate by using `local opt` to suppress this warning or `global opt` to assign to the existing global variable. └ @ ~/.julia/packages/ControlSystemIdentification/3DB0B/test/test_pem.jl:74 Iter Function value √(Σ(yᵢ-ȳ)²)/n ------ -------------- -------------- 0 2.316843e+01 2.910343e+55 * time: 0.0003020763397216797 Iter Function value √(Σ(yᵢ-ȳ)²)/n ------ -------------- -------------- 0 2.293661e+01 1.800205e+55 * time: 0.0003161430358886719 Iter Function value Gradient norm 0 2.069961e+00 2.387493e+00 * time: 0.00022411346435546875 Iter Function value Gradient norm 0 4.316576e-33 8.058326e-17 * time: 0.000244140625 Iter Function value Gradient norm 0 3.246807e-01 1.693998e-02 * time: 5.793571472167969e-5 Iter Function value Gradient norm 0 7.830409e-02 1.168762e-02 * time: 0.0002779960632324219 7.297619 seconds (5.76 M allocations: 355.309 MiB, 1.61% gc time, 98.86% compilation time) Iter Function value Gradient norm 0 1.997088e+01 2.486093e+01 * time: 0.00027298927307128906 ┌ Warning: Estimated system dynamics A is unstable, stabilizing A using eigenvalue reflection └ @ ControlSystemIdentification ~/.julia/packages/ControlSystemIdentification/3DB0B/src/pem.jl:291 Iter Function value Gradient norm 0 2.077583e+01 5.372010e+01 * time: 8.392333984375e-5 Iter Function value Gradient norm 0 1.992320e+01 2.500224e+01 * time: 4.601478576660156e-5 10 1.967346e+01 1.188590e+03 * time: 0.21654486656188965 20 1.952725e+01 3.671172e+03 * time: 0.2442188262939453 30 1.920937e+01 3.768329e+02 * time: 0.32048487663269043 40 1.920039e+01 3.056766e+02 * time: 0.34844493865966797 50 1.920038e+01 3.055970e+02 * time: 0.394420862197876 60 1.920038e+01 3.055966e+02 * time: 0.4790959358215332 [ Info: Testing Innovation model Iter Function value Gradient norm 0 1.997810e+02 2.631541e+01 * time: 9.608268737792969e-5 [ Info: Testing old PEM Iter Function value Gradient norm 0 1.585222e-02 6.201029e-01 * time: 0.0002899169921875 Iter Function value Gradient norm 0 9.352999e+00 8.674893e+00 * time: 0.00023484230041503906 50 2.304087e+00 8.250773e+05 * time: 0.4809608459472656 Iter Function value Gradient norm 0 2.009652e-02 9.670198e-01 * time: 0.0002448558807373047 0.337316 seconds (50.08 k allocations: 198.233 MiB, 11.05% gc time) [ Info: Testing structured_pem [ Info: Testing nonlinear_pem ┌ Error: Aborting nonlinear PEM due to error in the dynamics update └ @ ControlSystemIdentificationLSOptExt ~/.julia/packages/ControlSystemIdentification/3DB0B/ext/ControlSystemIdentificationLSOptExt.jl:150 0 2.763443e+00 Inf 1 4.061920e-01 1.262854e+00 2 3.855588e-01 1.149314e-01 3 3.855384e-01 1.347840e-02 4 3.855310e-01 9.718533e-03 5 3.855254e-01 4.765828e-03 6 3.855253e-01 2.155905e-04 7 3.855253e-01 8.690891e-03 8 3.855253e-01 8.690891e-03 9 3.855253e-01 8.690891e-03 10 3.855253e-01 8.690891e-03 11 3.855253e-01 8.690891e-03 12 3.855252e-01 8.690891e-03 13 3.855252e-01 8.155400e-03 14 3.855252e-01 8.190073e-05 0 3.051881e-01 Inf 1 3.051841e-01 9.463983e-03 2 3.051841e-01 4.081917e-04 3 3.051841e-01 1.370498e-04 NonlinearPredictionErrorModel p: [1.5999993177018856, 1.6083819832800497, 4.91563053961623, 0.20138692169097872] x0: [2.5011813903162294, 1.4970625159668658, 3.274561070078373, 2.919959796189184] Ts: 1.0 ny = 2, nu = 2, nx = 4 0 2.763443e+00 Inf 50 2.763440e+00 1.262853e+00 100 2.763438e+00 1.262852e+00 150 2.763435e+00 1.262852e+00 200 2.763432e+00 1.262851e+00 250 2.763430e+00 1.262850e+00 300 2.763427e+00 1.262850e+00 0 2.763443e+00 Inf 50 2.763440e+00 1.262853e+00 100 2.763438e+00 1.262852e+00 150 2.763435e+00 1.262852e+00 200 2.763432e+00 1.262851e+00 250 2.763430e+00 1.262850e+00 300 2.763427e+00 1.262850e+00 [ Info: Testing arx [ Info: Unsafe comparisons using the function `pmean` has been enabled globally. Use `@unsafe` to enable in a local expression only or `unsafe_comparisons(false)` to turn off unsafe comparisons WARNING: Method definition freqresptest(Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_subspace.jl:5 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_arx.jl:4. WARNING: Method definition freqresptest(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_subspace.jl:8 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_arx.jl:7. WARNING: Method definition compareTFs(Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/runtests.jl:37 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_arx.jl:12. WARNING: Method definition compareTFs(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/runtests.jl:37 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_arx.jl:12. [ Info: Testing ar [ Info: Testing arxar WARNING: Method definition sim(Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_pem.jl:11 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_arxar.jl:6. iter: 0, δ: 1.001, e: 1.621670260336386 iter: 1, δ: 0.07711909381447656, e: 1.7571825892889232 iter: 2, δ: 0.022373417586996958, e: 1.7973964915640899 iter: 3, δ: 0.0007846534287193515, e: 1.7988079323758361 iter: 0, δ: 1.001, e: 3.956647106322967 iter: 1, δ: 0.04570778915218899, e: 4.146158861348987 iter: 2, δ: 0.2700288335103012, e: 5.6798940173036225 iter: 3, δ: 0.182783698856448, e: 6.95029456626795 iter: 4, δ: 0.007140401769348934, e: 7.000279373492372 iter: 5, δ: 7.759434604729938e-5, e: 7.000822597743637 iter: 0, δ: 1.001, e: 0.013962237440938783 iter: 1, δ: 2.0992195456465617e-5, e: 0.013962530545109052 iter: 1, δ: 1.001, e: 32.7682074146452 iter: 2, δ: 0.008181114351255772, e: 33.038499154219735 iter: 3, δ: 0.002784731068813135, e: 33.13075940928013 iter: 4, δ: 0.0009113905367052267, e: 33.16098201447598 iter: 0, δ: 1.001, e: 1.5272442166332933 iter: 1, δ: 0.04069002041226708, e: 1.5920236932066862 iter: 2, δ: 0.005408650692143448, e: 1.6006812187885882 iter: 3, δ: 0.0001339300410014226, e: 1.6008956268055252 iter: 0, δ: 1.001, e: 1.603778701498794 iter: 1, δ: 0.069171578938056, e: 1.7229584585192497 iter: 2, δ: 0.021762765535907388, e: 1.7612889775792857 iter: 3, δ: 0.0010059760792761395, e: 1.7630625763573682 iter: 4, δ: 3.5295905168959074e-5, e: 1.7631248074433727 [ Info: Testing arma_plr [ Info: Testing arma mean(abs2, uh - u) / mean(abs2, u) = 0.0028064288484851143 [ Info: Testing arma ssa [ Info: Testing frd WARNING: Method definition sim(Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_arxar.jl:6 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_frd.jl:8. ┌ Warning: This call is deprecated due to ambiguity, use covar(ss(D), R) or covar(ss(D, Ts), R) instead └ @ ControlSystemsBase ~/.julia/packages/ControlSystemsBase/qOZW0/src/ControlSystemsBase.jl:244 Frequency (rad/s) ---------------- 2-element Vector{Int64}: 1 2 Response -------- 2-element Vector{Complex{Int64}}: 0 + 1im 0 + 2im[ Info: Testing plots lags = 1:50 [ Info: Testing simplots and difficult WARNING: Method definition sim(Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_frd.jl:8 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_simplots_difficult.jl:10. Iter Function value √(Σ(yᵢ-ȳ)²)/n ------ -------------- -------------- 0 9.907097e+02 1.482121e+39 * time: 0.00010895729064941406 50 1.754532e+02 9.049531e+00 * time: 0.0030469894409179688 100 1.090880e+02 3.946401e+00 * time: 0.0057659149169921875 150 8.490275e+01 3.310728e-01 * time: 0.00851297378540039 200 8.451465e+01 8.303037e-03 * time: 0.01145792007446289 250 8.448606e+01 5.320331e-04 * time: 0.014364957809448242 300 8.448526e+01 1.193400e-05 * time: 0.017528057098388672 350 8.448520e+01 4.096716e-07 * time: 0.020418882369995117 400 8.448519e+01 2.192213e-08 * time: 0.02329397201538086 450 8.448519e+01 9.759637e-10 * time: 0.02618408203125 500 8.448519e+01 2.061844e-10 * time: 0.029188871383666992 550 8.448519e+01 8.291617e-12 * time: 0.032048940658569336 Iter Function value Gradient norm 0 3.691735e+01 2.314572e+02 * time: 7.82012939453125e-5 50 3.254359e+00 6.464291e+00 * time: 0.2013859748840332 Iter Function value Gradient norm 0 2.767662e+01 1.504498e+02 * time: 0.00024199485778808594 50 2.783514e+00 6.620470e+00 * time: 0.24717307090759277 ┌ Warning: Assignment to `sysh` in soft scope is ambiguous because a global variable by the same name exists: `sysh` will be treated as a new local. Disambiguate by using `local sysh` to suppress this warning or `global sysh` to assign to the existing global variable. └ @ ~/.julia/packages/ControlSystemIdentification/3DB0B/test/test_simplots_difficult.jl:35 ┌ Warning: Assignment to `opt` in soft scope is ambiguous because a global variable by the same name exists: `opt` will be treated as a new local. Disambiguate by using `local opt` to suppress this warning or `global opt` to assign to the existing global variable. └ @ ~/.julia/packages/ControlSystemIdentification/3DB0B/test/test_simplots_difficult.jl:35 ┌ Warning: This call is deprecated due to ambiguity, use covar(ss(D), R) or covar(ss(D, Ts), R) instead └ @ ControlSystemsBase ~/.julia/packages/ControlSystemsBase/qOZW0/src/ControlSystemsBase.jl:244 [ Info: Testing impulseest WARNING: Method definition sim(Any, Any) in module Main at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_simplots_difficult.jl:10 overwritten at /home/pkgeval/.julia/packages/ControlSystemIdentification/3DB0B/test/test_impulseest.jl:4. [ Info: Testing Spectrogram [ Info: Testing sampling of covariance matrices ┌ Warning: d2c does not handle a non-zero cross covariance S, S will be set to zero └ @ ControlSystemIdentification ~/.julia/packages/ControlSystemIdentification/3DB0B/src/ControlSystemIdentification.jl:360 Test Summary: | Pass Broken Total Time ControlSystemIdentification.jl | 3032 1 3033 41m02.2s Testing ControlSystemIdentification tests passed Testing completed after 2507.31s PkgEval succeeded after 2634.23s