Package evaluation to test ControlSystemIdentification on Julia 1.13.0-DEV.1319 (9cddfda8ef*) started at 2025-10-16T22:03:22.825 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.9s ################################################################################ # 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 v7.21.0 [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 v1.20.1 [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 v0.7.9 [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 v2.29.0 [f6369f11] + ForwardDiff v1.2.2 [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 v0.2.6 [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 v3.23.0 [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 v5.15.0+0 [8e850ede] + nghttp2_jll v1.67.1+0 [3f19e933] + p7zip_jll v17.6.0+0 Installation completed after 6.63s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 113.87s ################################################################################ # Testing # Testing ControlSystemIdentification Status `/tmp/jl_DcXzL7/Project.toml` [082447d4] ChainRules v1.72.6 [b0b7db55] ComponentArrays v0.15.29 [3abffc1c] ControlSystemIdentification v2.11.8 [aaaaaaaa] ControlSystemsBase v1.20.1 [717857b8] DSP v0.8.4 [8bb1440f] DelimitedFiles v1.9.1 [7a1cc6ca] FFTW v1.10.0 [1a297f60] FillArrays v1.14.0 [f6369f11] ForwardDiff v1.2.2 [c9556dd2] ForwardDiffChainRules v0.3.0 [0fc2ff8b] LeastSquaresOptim v0.8.7 [d9d29d28] LowLevelParticleFilters v3.23.0 [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_DcXzL7/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 v7.21.0 [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 v1.20.1 [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 v0.7.9 [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 v1.1.0 [1a297f60] FillArrays v1.14.0 [6a86dc24] FiniteDiff v2.29.0 [53c48c17] FixedPointNumbers v0.8.5 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.2.2 [c9556dd2] ForwardDiffChainRules v0.3.0 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [28b8d3ca] GR v0.73.17 [c145ed77] GenericSchur v0.5.6 [42e2da0e] Grisu v1.0.2 [cd3eb016] HTTP v1.10.19 [3e5b6fbb] HostCPUFeatures v0.1.17 [e91730f6] Hungarian v0.7.0 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [1019f520] JLFzf v0.1.11 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.1.0 [ae98c720] Jieko v0.2.1 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.10 [10f19ff3] LayoutPointers v0.1.17 [50d2b5c4] Lazy v0.15.1 [0fc2ff8b] LeastSquaresOptim v0.8.7 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [7a12625a] LinearMaps v3.11.4 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [d9d29d28] LowLevelParticleFilters v3.23.0 [1914dd2f] 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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: 0.10747504234313965 5 1.041406e-25 6.539084e-10 * time: 2.7194058895111084 Iter Function value Gradient norm 0 1.105547e-26 1.804034e-12 * time: 0.0002181529998779297 ┌ 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: 0.00019502639770507812 5 7.794756e-26 2.921845e-10 * time: 0.28209710121154785 Iter Function value Gradient norm 0 9.984974e-27 1.714167e-12 * time: 4.9114227294921875e-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 9.866956e+01 2.114141e+01 * time: 6.604194641113281e-5 50 8.403770e-02 2.437735e-01 * time: 0.4416160583496094 100 6.367269e-02 6.651149e-02 * time: 0.7320349216461182 150 6.234301e-02 8.047538e-03 * time: 1.0033810138702393 200 6.216478e-02 1.015282e-04 * time: 1.3124480247497559 ┌ 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 1.134559e+02 2.150667e+01 * time: 6.4849853515625e-5 50 7.952233e-02 2.056392e-01 * time: 0.399975061416626 100 6.574757e-02 1.810206e-02 * time: 0.6772699356079102 150 6.472678e-02 1.854797e-02 * time: 0.9577748775482178 200 6.292474e-02 2.470094e-02 * time: 1.2011280059814453 250 6.257029e-02 1.608506e-02 * time: 1.495136022567749 300 6.216603e-02 1.626760e-03 * time: 1.7710318565368652 ┌ 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 1.419784e+02 1.812209e+01 * time: 5.221366882324219e-5 50 1.273557e-01 1.467287e+00 * time: 0.40117812156677246 100 6.309542e-02 1.294685e-02 * time: 0.6737151145935059 150 6.282147e-02 6.330044e-04 * time: 0.9713420867919922 200 6.216475e-02 1.070800e-06 * time: 1.2535171508789062 ┌ 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 1.909014e+02 1.492712e+01 * time: 5.5789947509765625e-5 50 9.872718e-02 2.796246e-01 * time: 0.4097559452056885 100 6.346981e-02 2.468740e-02 * time: 0.6782279014587402 150 6.237299e-02 2.057908e-02 * time: 0.9698708057403564 ┌ 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 1.682358e+02 1.612884e+01 * time: 5.91278076171875e-5 50 1.104741e-01 1.883392e-02 * time: 0.17358112335205078 100 1.069413e-01 1.161002e-02 * time: 0.3256840705871582 150 1.068691e-01 7.783269e-04 * time: 0.4743161201477051 ┌ 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 1.441144e+02 1.902086e+01 * time: 0.00023293495178222656 50 1.219510e-01 5.678812e-02 * time: 0.17526698112487793 100 1.133315e-01 8.478005e-03 * time: 0.319321870803833 150 1.076789e-01 2.760462e-02 * time: 0.4476490020751953 200 1.069166e-01 5.724379e-03 * time: 0.5930609703063965 ┌ 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 8.563979e+01 1.768986e+01 * time: 0.00020503997802734375 50 1.084791e-01 5.022803e-02 * time: 0.17687487602233887 100 1.068895e-01 2.084171e-03 * time: 0.3337888717651367 ┌ 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 1.040825e+02 2.002560e+01 * time: 5.3882598876953125e-5 50 1.127340e-01 1.417427e-01 * time: 0.1951448917388916 100 1.093394e-01 5.562231e-02 * time: 0.3593709468841553 [ 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: 0.0002739429473876953 100 2.670522e-10 1.740424e-08 * time: 2.2908411026000977 Iter Function value Gradient norm 0 1.824064e-04 4.683269e-02 * time: 0.00013184547424316406 ┌ 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: 6.008148193359375e-5 5000 1.303859e-03 4.754919e-11 * time: 2.0613350868225098 10000 1.302218e-03 1.075546e-10 * time: 4.1030189990997314 Iter Function value √(Σ(yᵢ-ȳ)²)/n ------ -------------- -------------- 0 2.000811e+01 2.813070e+55 * time: 0.00024199485778808594 Iter Function value Gradient norm 0 7.646573e+00 1.359511e+04 * time: 7.796287536621094e-5 Iter Function value Gradient norm 0 2.465943e+01 4.593324e+04 * time: 0.0002391338348388672 Iter Function value Gradient norm 0 6.108882e+00 4.194541e+03 * time: 0.0002257823944091797 Iter Function value Gradient norm 0 3.151859e+00 1.691768e+03 * time: 0.00022482872009277344 Iter Function value Gradient norm 0 5.662421e+00 2.161986e+02 * time: 5.4836273193359375e-5 ┌ 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: 5.0067901611328125e-5 Iter Function value √(Σ(yᵢ-ȳ)²)/n ------ -------------- -------------- 0 2.293661e+01 1.800205e+55 * time: 5.793571472167969e-5 Iter Function value Gradient norm 0 2.069961e+00 2.387493e+00 * time: 0.00030994415283203125 Iter Function value Gradient norm 0 4.316576e-33 8.058326e-17 * time: 0.0003058910369873047 Iter Function value Gradient norm 0 3.246807e-01 1.693998e-02 * time: 6.699562072753906e-5 Iter Function value Gradient norm 0 7.830409e-02 1.168762e-02 * time: 8.296966552734375e-5 6.576833 seconds (6.18 M allocations: 362.833 MiB, 1.44% gc time, 98.81% compilation time) Iter Function value Gradient norm 0 1.997088e+01 2.486093e+01 * time: 7.104873657226562e-5 ┌ 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: 0.00010609626770019531 Iter Function value Gradient norm 0 1.992320e+01 2.500224e+01 * time: 0.00029587745666503906 10 1.967346e+01 1.188590e+03 * time: 0.21876978874206543 20 1.952725e+01 3.671172e+03 * time: 0.29428791999816895 30 1.920937e+01 3.768329e+02 * time: 0.307567834854126 40 1.920039e+01 3.056766e+02 * time: 0.3339378833770752 50 1.920038e+01 3.055970e+02 * time: 0.37945079803466797 60 1.920038e+01 3.055966e+02 * time: 0.45496582984924316 [ Info: Testing Innovation model Iter Function value Gradient norm 0 1.997810e+02 2.631541e+01 * time: 5.316734313964844e-5 [ Info: Testing old PEM Iter Function value Gradient norm 0 1.585222e-02 6.201029e-01 * time: 0.0002529621124267578 Iter Function value Gradient norm 0 9.352999e+00 8.674893e+00 * time: 0.00022602081298828125 50 2.304087e+00 8.250773e+05 * time: 0.4822061061859131 Iter Function value Gradient norm 0 2.009652e-02 9.670198e-01 * time: 0.00021505355834960938 0.316080 seconds (49.55 k allocations: 198.184 MiB, 9.75% 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 2.723911e+00 Inf 1 4.160816e-01 1.244635e+00 2 3.951856e-01 1.132813e-01 3 3.951273e-01 1.142311e-02 4 3.951175e-01 1.571559e-02 5 3.951053e-01 7.825696e-03 6 3.951049e-01 7.328074e-04 7 3.951049e-01 4.825078e-04 8 3.951049e-01 1.919412e-04 9 3.951049e-01 8.082579e-05 0 3.127255e-01 Inf 1 3.127226e-01 2.935749e-03 2 3.127225e-01 3.046665e-04 3 3.127225e-01 1.281428e-04 NonlinearPredictionErrorModel p: [1.600538998537092, 1.6074382724634673, 4.915280568822992, 0.20138005728863706] x0: [2.4830743182688226, 1.4941341874877139, 3.3224611727678095, 2.913966489362595] Ts: 1.0 ny = 2, nu = 2, nx = 4 0 2.723911e+00 Inf 50 2.723908e+00 1.244634e+00 100 2.723905e+00 1.244634e+00 150 2.723903e+00 1.244633e+00 200 2.723900e+00 1.244632e+00 250 2.723898e+00 1.244632e+00 300 2.723895e+00 1.244631e+00 0 2.723911e+00 Inf 50 2.723908e+00 1.244634e+00 100 2.723905e+00 1.244634e+00 150 2.723903e+00 1.244633e+00 200 2.723900e+00 1.244632e+00 250 2.723898e+00 1.244632e+00 300 2.723895e+00 1.244631e+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) = 0.0007268276817188163 [ 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/F0bxl/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: 0.00032711029052734375 50 1.754532e+02 9.049531e+00 * time: 0.0040400028228759766 100 1.090880e+02 3.946401e+00 * time: 0.0070819854736328125 150 8.490275e+01 3.310728e-01 * time: 0.010154962539672852 200 8.451465e+01 8.303037e-03 * time: 0.013416051864624023 250 8.448606e+01 5.320331e-04 * time: 0.01651906967163086 300 8.448526e+01 1.193400e-05 * time: 0.01986098289489746 350 8.448520e+01 4.096716e-07 * time: 0.022834062576293945 400 8.448519e+01 2.192213e-08 * time: 0.025870084762573242 450 8.448519e+01 9.759637e-10 * time: 0.029009103775024414 500 8.448519e+01 2.061844e-10 * time: 0.03227591514587402 550 8.448519e+01 8.291617e-12 * time: 0.03532600402832031 Iter Function value Gradient norm 0 3.691735e+01 2.314572e+02 * time: 7.390975952148438e-5 50 3.254359e+00 6.464291e+00 * time: 0.044088125228881836 Iter Function value Gradient norm 0 2.767662e+01 1.504498e+02 * time: 0.00030303001403808594 50 2.783514e+00 6.620470e+00 * time: 0.21558594703674316 ┌ 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/F0bxl/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 39m56.5s Testing ControlSystemIdentification tests passed Testing completed after 2444.68s PkgEval succeeded after 2609.08s