Package evaluation of EnsembleKalmanProcesses on Julia 1.13.0-DEV.449 (8d6b63c3a6*) started at 2025-04-29T07:52:29.702 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.56s ################################################################################ # Installation # Installing EnsembleKalmanProcesses... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [aa8a2aa5] + EnsembleKalmanProcesses v2.4.1 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [14f7f29c] + AMD v0.5.3 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [7d9fca2a] + Arpack v0.5.4 [4fba245c] + ArrayInterface v7.18.0 [13072b0f] + AxisAlgorithms v1.1.0 [6e4b80f9] + BenchmarkTools v1.6.0 [d360d2e6] + ChainRulesCore v1.25.1 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [187b0558] + ConstructionBase v1.5.8 [f65535da] + Convex v0.16.4 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.6.52 [31c24e10] + Distributions v0.25.119 [ffbed154] + DocStringExtensions v0.9.4 [aa8a2aa5] + EnsembleKalmanProcesses v2.4.1 [4e289a0a] + EnumX v1.0.5 [c87230d0] + FFMPEG v0.4.2 [7a1cc6ca] + FFTW v1.8.1 [442a2c76] + FastGaussQuadrature v1.0.2 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v1.0.1 [e4b2fa32] + GaussianRandomFields v2.2.6 [34004b35] + HypergeometricFunctions v0.3.28 [a98d9a8b] + Interpolations v0.15.1 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.2 [40e66cde] + LDLFactorizations v0.10.1 [d3d80556] + LineSearches v7.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.39.0 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.4 [d41bc354] + NLSolversBase v7.9.1 [77ba4419] + NaNMath v1.1.3 [6fe1bfb0] + OffsetArrays v1.17.0 [429524aa] + Optim v1.12.0 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.34 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [c946c3f1] + SCS v2.1.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.5.0 [856f2bd8] + StructTypes v1.11.0 [9449cd9e] + TSVD v0.4.4 [3bb67fe8] + TranscodingStreams v0.11.3 [3a884ed6] + UnPack v1.0.2 [efce3f68] + WoodburyMatrices v1.0.0 ⌅ [68821587] + Arpack_jll v3.5.1+1 [6e34b625] + Bzip2_jll v1.0.9+0 ⌃ [83423d85] + Cairo_jll v1.18.4+0 [2e619515] + Expat_jll v2.6.5+0 ⌅ [b22a6f82] + FFMPEG_jll v4.4.4+1 [f5851436] + FFTW_jll v3.3.11+0 [a3f928ae] + Fontconfig_jll v2.16.0+0 [d7e528f0] + 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[9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.12.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [efcefdf7] + PCRE2_jll v10.44.0+1 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 4.38s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 298.95s ################################################################################ # Testing # Testing EnsembleKalmanProcesses Status `/tmp/jl_oo5vW5/Project.toml` [f65535da] Convex v0.16.4 [31c24e10] Distributions v0.25.119 [ffbed154] DocStringExtensions v0.9.4 [aa8a2aa5] EnsembleKalmanProcesses v2.4.1 [c87230d0] FFMPEG v0.4.2 [e4b2fa32] GaussianRandomFields v2.2.6 [a98d9a8b] Interpolations v0.15.1 [b8f27783] MathOptInterface v1.39.0 [429524aa] Optim v1.12.0 [91a5bcdd] Plots v1.40.13 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [c946c3f1] SCS v2.1.0 [860ef19b] StableRNGs v1.0.2 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.4 [9449cd9e] TSVD v0.4.4 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 Status `/tmp/jl_oo5vW5/Manifest.toml` [47edcb42] ADTypes v1.14.0 [14f7f29c] AMD v0.5.3 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees 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marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Starting tests for DataContainers Precompiling packages... 2468.9 ms ✓ SCS_jll 3592.3 ms ✓ BenchmarkTools 7466.3 ms ✓ FFTW 11237.7 ms ✓ Optim 81706.0 ms ✓ MathOptInterface 7027.7 ms ✓ GaussianRandomFields 86920.2 ms ✓ SCS 20863.0 ms ✓ Convex 97216.8 ms ✓ Optim → OptimMOIExt 145655.5 ms ✓ EnsembleKalmanProcesses 10 dependencies successfully precompiled in 467 seconds. 187 already precompiled. Completed tests for DataContainers, 498 seconds elapsed Starting tests for ParameterDistributions ParameterDistribution with 1 entries: 'grf_above_3' with Constraint{BoundedBelow}[Bounds: (3, ∞)] over distribution GaussianRandomFieldInterface(Gaussian random field with 1d Matérn covariance function (λ=0.1, ν=1.0, σ=1.0, p=2.0) on a 51-point structured grid, using a KL expansion with 30 terms, GRFJL(), ParameterDistribution with 1 entries: 'GRF_coefficients_wide_pos' with Constraint{BoundedBelow}[Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞), Bounds: (-5.0, ∞)] over distribution VectorOfParameterized{Normal{Float64}}(Normal{Float64}[Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977), Normal{Float64}(μ=1.2628643221541276, σ=0.8325546111576977)]) ) ParameterDistribution with 5 entries: 'unconstrained_normal' with Constraint[Bounds: (-∞, ∞)] over distribution Parameterized(Normal{Float64}(μ=0.0, σ=1.0)) 'three_unconstrained_MvNs' with Constraint[Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞)] over distribution VectorOfParameterized{IsoNormal}(IsoNormal[IsoNormal( dim: 3 μ: [1.0, 1.0, 1.0] Σ: [0.2 0.0 0.0; 0.0 0.2 0.0; 0.0 0.0 0.2] ) , IsoNormal( dim: 3 μ: [1.0, 1.0, 1.0] Σ: [0.2 0.0 0.0; 0.0 0.2 0.0; 0.0 0.0 0.2] ) , IsoNormal( dim: 3 μ: [1.0, 1.0, 1.0] Σ: [0.2 0.0 0.0; 0.0 0.2 0.0; 0.0 0.0 0.2] ) , IsoNormal( dim: 3 μ: [1.0, 1.0, 1.0] Σ: [0.2 0.0 0.0; 0.0 0.2 0.0; 0.0 0.0 0.2] ) ]) 'constrained_sampled' with Constraint[Bounds: (10, 15), Bounds: (-∞, ∞)] over distribution Samples{Float64}([1.0 3.0 5.0 7.0; 9.0 11.0 13.0 15.0]) 'constrained_sampled' with Constraint[Bounds: (10, 15), Bounds: (-∞, ∞)] over distribution Samples{Float64}([1.0 3.0 5.0 7.0; 9.0 11.0 13.0 15.0]) 'grf_in_min5_5' with Constraint[Bounds: (-5, 5)] over distribution GaussianRandomFieldInterface(Gaussian random field with 1d Matérn covariance function (λ=0.05, ν=1.0, σ=1.0, p=2.0) on a 101-point structured grid, using a KL expansion with 10 terms, GRFJL(), ParameterDistribution with 1 entries: 'GRF_coefficients' with Constraint{NoConstraint}[Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞), Bounds: (-∞, ∞)] over distribution VectorOfParameterized{Normal{Float64}}(Normal{Float64}[Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0), Normal{Float64}(μ=0.0, σ=1.0)]) ) [ Info: `repeats` < 1 is not defined,`repeats` must be a natural number. Continuing with `repeats = 1` ... Completed tests for ParameterDistributions, 149 seconds elapsed Starting tests for PlotRecipes Completed tests for PlotRecipes, 0 seconds elapsed Starting tests for Observations ┌ Warning: Requested truncation to rank 106 for an input matrix of rank 100. Performing (truncated) SVD for rank 100 matrix. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/Observations.jl:146 ┌ Warning: SVDplusD requires Diagonal matrix type, converting input X to Diagonal(X) └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/Observations.jl:121 Completed tests for Observations, 118 seconds elapsed Starting tests for UpdateGroup ┌ Warning: For 4 parameters, the recommended minimum ensemble size (`N_ens`) is 40. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:251 Completed tests for UpdateGroup, 15 seconds elapsed Starting tests for EnsembleKalmanProcess Precompiling packages... 8608.6 ms ✓ ColorSchemes 18516.3 ms ✓ PlotUtils 10388.1 ms ✓ PlotThemes 9461.7 ms ✓ RecipesPipeline 116064.5 ms ✓ Plots 22557.6 ms ✓ Plots → UnitfulExt 6 dependencies successfully precompiled in 192 seconds. 176 already precompiled. Precompiling packages... 2040.1 ms ✓ ColorVectorSpace → SpecialFunctionsExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. ┌ Warning: In forward map ensemble g, detected 12 NaNs. │ Given nan_tolerance = 0.5 to determine failed members: │ - Ensemble members failed: 1 │ - NaNs in successful members: 8 │ - row index set for imputation: [1, 3, 4, 5] │ - row index entirely NaN: [3, 4] └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:1022 [ Info: Imputed 8 NaNs ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:287 ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:287 ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:287 Accelerator: DefaultAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 4.0412176868651715 Accelerator: ConstantNesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 5.527897531804057 Accelerator: FirstOrderNesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4720606457131375 Accelerator: NesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.402921733571705 Accelerator: DefaultAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.7941232384823045 Accelerator: ConstantNesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4700308310634442 Accelerator: FirstOrderNesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.426455870337419 Accelerator: NesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4682525600586867 Accelerator: DefaultAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.681469088608958 Accelerator: ConstantNesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 20.488692614847718 Accelerator: FirstOrderNesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.302694893399163 Accelerator: NesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.317708557988915 Accelerator: DefaultAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.681469088608958 Accelerator: ConstantNesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 20.488692614847313 Accelerator: FirstOrderNesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.302694893399151 Accelerator: NesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.317708557988906 Accelerator: DefaultAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.731226570037047 Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.6190999962279324 Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 26.92102752865056 Accelerator: NesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 46.55580861314957 Accelerator: DefaultAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 9.43074475496495 Accelerator: ConstantNesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 5.720734142254379 Accelerator: FirstOrderNesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 16.861051827671535 Accelerator: NesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 16.692597781502133 Accelerator: DefaultAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 4.5869602142373065 Accelerator: ConstantNesterovAccelerator Process: TransformInversion [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4322821976085525 Accelerator: FirstOrderNesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.430813141566508 Accelerator: NesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.5632493762867 Accelerator: DefaultAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.287890653168676 Accelerator: ConstantNesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.459552750174565 Accelerator: FirstOrderNesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.218564609988815 Accelerator: NesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.220957433176812 Accelerator: DefaultAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.287890653168676 Accelerator: ConstantNesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.45955275017454 Accelerator: FirstOrderNesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.218564609988786 Accelerator: NesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.220957433176854 Accelerator: DefaultAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 47.53458327680709 Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 41.165499726493586 Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 31.193071158147223 Accelerator: NesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 29.940324771957876 Accelerator: DefaultAccelerator Process: Sampler ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 11.366842122194189 Accelerator: ConstantNesterovAccelerator Process: Sampler ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:287 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.5743414805717126 Accelerator: FirstOrderNesterovAccelerator Process: Sampler ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:287 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.005241756225221 Accelerator: NesterovAccelerator Process: Sampler ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:287 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 5.1112598707860935 Scheduler: DefaultScheduler ┌ Info: Initializing ensemble Kalman process of type Inversion │ Number of ensemble members: 30 │ Localization: SECNice │ Failure handler: SampleSuccGauss │ Scheduler: DefaultScheduler └ Accelerator: NesterovAccelerator [ Info: Iteration 0 (prior) [ Info: Covariance trace: 0.5206824090380381 [ Info: Iteration 1 (T=0.05) ┌ Info: Covariance-weighted error: 3606.9621978504974 │ Covariance trace: 0.26740519948652 └ Covariance trace ratio (current/previous): 0.5135668016527611 [ Info: Iteration 2 (T=0.1) ┌ Info: Covariance-weighted error: 265.84545247946033 │ Covariance trace: 0.22955509610105088 └ Covariance trace ratio (current/previous): 0.8584541233373544 [ Info: Iteration 3 (T=0.2) ┌ Info: Covariance-weighted error: 308.3674598723593 │ Covariance trace: 0.18532171546736836 └ Covariance trace ratio (current/previous): 0.8073082175696468 [ Info: Iteration 4 (T=0.25) ┌ Info: Covariance-weighted error: 284.1988622807922 │ Covariance trace: 0.10009222040271648 └ Covariance trace ratio (current/previous): 0.5400997942971277 [ Info: Iteration 5 (T=0.3) ┌ Info: Covariance-weighted error: 293.81046866443944 │ Covariance trace: 0.02043776606023312 └ Covariance trace ratio (current/previous): 0.20418935635559587 [ Info: Iteration 6 (T=0.35) ┌ Info: Covariance-weighted error: 61.63802725807504 │ Covariance trace: 0.019919319846744943 └ Covariance trace ratio (current/previous): 0.9746329314094192 [ Info: Iteration 7 (T=0.39999999999999997) ┌ Info: Covariance-weighted error: 64.85302107971815 │ Covariance trace: 0.025480021748739756 └ Covariance trace ratio (current/previous): 1.2791612336554503 [ Info: Iteration 8 (T=0.44999999999999996) ┌ Info: Covariance-weighted error: 74.30976022431982 │ Covariance trace: 0.027428239234733587 └ Covariance trace ratio (current/previous): 1.076460589602526 [ Info: Iteration 9 (T=0.49999999999999994) ┌ Info: Covariance-weighted error: 67.95340880698232 │ Covariance trace: 0.030222982445530962 └ Covariance trace ratio (current/previous): 1.101892913609207 [ Info: Iteration 10 (T=0.5499999999999999) ┌ Info: Covariance-weighted error: 64.72782069259097 │ Covariance trace: 0.03418392119224731 └ Covariance trace ratio (current/previous): 1.1310571765660422 [ Info: Iteration 11 (T=0.6) ┌ Info: Covariance-weighted error: 67.67954291837673 │ Covariance trace: 0.03749633205189329 └ Covariance trace ratio (current/previous): 1.09689967517235 [ Info: Iteration 12 (T=0.65) ┌ Info: Covariance-weighted error: 72.0003260486788 │ Covariance trace: 0.03945159845158962 └ Covariance trace ratio (current/previous): 1.0521455377819442 [ Info: Iteration 13 (T=0.7000000000000001) ┌ Info: Covariance-weighted error: 76.16772735949543 │ Covariance trace: 0.04131259251455116 └ Covariance trace ratio (current/previous): 1.04717157570295 [ Info: Iteration 14 (T=0.7500000000000001) ┌ Info: Covariance-weighted error: 79.62888103694412 │ Covariance trace: 0.04305884914152905 └ Covariance trace ratio (current/previous): 1.0422693547097732 [ Info: Iteration 15 (T=0.8000000000000002) ┌ Info: Covariance-weighted error: 85.70411975674956 │ Covariance trace: 0.044570193484672366 └ Covariance trace ratio (current/previous): 1.0350995062170778 [ Info: Iteration 16 (T=0.8500000000000002) ┌ Info: Covariance-weighted error: 83.19128827472656 │ Covariance trace: 0.04588269364185782 └ Covariance trace ratio (current/previous): 1.0294479349217278 [ Info: Iteration 17 (T=0.9000000000000002) ┌ Info: Covariance-weighted error: 87.18179466191836 │ Covariance trace: 0.04702712334699901 └ Covariance trace ratio (current/previous): 1.024942513490471 [ Info: Iteration 18 (T=0.9500000000000003) ┌ Info: Covariance-weighted error: 89.05776122265729 │ Covariance trace: 0.04802930847024345 └ Covariance trace ratio (current/previous): 1.0213107894320819 [ Info: Iteration 19 (T=1.0000000000000002) ┌ Info: Covariance-weighted error: 92.77528575071408 │ Covariance trace: 0.04891076626869962 └ Covariance trace ratio (current/previous): 1.0183524982251677 [ Info: Iteration 20 (T=1.0500000000000003) ┌ Info: Covariance-weighted error: 90.76627318730901 │ Covariance trace: 0.04968938283892016 └ Covariance trace ratio (current/previous): 1.0159191243486776 Scheduler: MutableScheduler Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DefaultScheduler ┌ Info: Initializing ensemble Kalman process of type TransformInversion │ Number of ensemble members: 30 │ Localization: NoLocalization │ Failure handler: SampleSuccGauss │ Scheduler: DefaultScheduler └ Accelerator: DefaultAccelerator [ Info: Iteration 0 (prior) [ Info: Covariance trace: 0.5206824090380381 [ Info: Iteration 1 (T=0.05) ┌ Info: Covariance-weighted error: 3662.0570938613805 │ Covariance trace: 0.29046254830257534 └ Covariance trace ratio (current/previous): 0.5578497434534144 [ Info: Iteration 2 (T=0.1) ┌ Info: Covariance-weighted error: 222.94404601044621 │ Covariance trace: 0.18693740725670027 └ Covariance trace ratio (current/previous): 0.643585234479067 [ Info: Iteration 3 (T=0.2) ┌ Info: Covariance-weighted error: 146.5683939986387 │ Covariance trace: 0.10746721488887265 └ Covariance trace ratio (current/previous): 0.574883414004453 [ Info: Iteration 4 (T=0.25) ┌ Info: Covariance-weighted error: 93.72797756100123 │ Covariance trace: 0.06879876395213319 └ Covariance trace ratio (current/previous): 0.6401837436959273 [ Info: Iteration 5 (T=0.3) ┌ Info: Covariance-weighted error: 63.660111066947714 │ Covariance trace: 0.06716940234998903 └ Covariance trace ratio (current/previous): 0.9763169930890359 [ Info: Iteration 6 (T=0.35) ┌ Info: Covariance-weighted error: 64.09855822413596 │ Covariance trace: 0.06685557245178919 └ Covariance trace ratio (current/previous): 0.9953277848660226 [ Info: Iteration 7 (T=0.39999999999999997) ┌ Info: Covariance-weighted error: 60.77646020603395 │ Covariance trace: 0.0667379002846981 └ Covariance trace ratio (current/previous): 0.9982399048759033 [ Info: Iteration 8 (T=0.44999999999999996) ┌ Info: Covariance-weighted error: 60.133979392332776 │ Covariance trace: 0.06637829289066642 └ Covariance trace ratio (current/previous): 0.9946116465681775 [ Info: Iteration 9 (T=0.49999999999999994) ┌ Info: Covariance-weighted error: 63.29283282723621 │ Covariance trace: 0.06615129357595453 └ Covariance trace ratio (current/previous): 0.9965802176460642 [ Info: Iteration 10 (T=0.5499999999999999) ┌ Info: Covariance-weighted error: 61.50655387179512 │ Covariance trace: 0.0657339472116757 └ Covariance trace ratio (current/previous): 0.9936910324542689 [ Info: Iteration 11 (T=0.6) ┌ Info: Covariance-weighted error: 63.83259386957404 │ Covariance trace: 0.06541000948189347 └ Covariance trace ratio (current/previous): 0.9950719872528103 [ Info: Iteration 12 (T=0.65) ┌ Info: Covariance-weighted error: 62.34962256829847 │ Covariance trace: 0.06509296685591011 └ Covariance trace ratio (current/previous): 0.9951529952602877 [ Info: Iteration 13 (T=0.7000000000000001) ┌ Info: Covariance-weighted error: 61.417989343818114 │ Covariance trace: 0.06463490493444676 └ Covariance trace ratio (current/previous): 0.9929629583104221 [ Info: Iteration 14 (T=0.7500000000000001) ┌ Info: Covariance-weighted error: 61.29406841467874 │ Covariance trace: 0.0643623415601631 └ Covariance trace ratio (current/previous): 0.9957830312497543 [ Info: Iteration 15 (T=0.8000000000000002) ┌ Info: Covariance-weighted error: 60.72697491091975 │ Covariance trace: 0.06422610041237098 └ Covariance trace ratio (current/previous): 0.9978832164198879 [ Info: Iteration 16 (T=0.8500000000000002) ┌ Info: Covariance-weighted error: 60.493885251625926 │ Covariance trace: 0.06396254602651599 └ Covariance trace ratio (current/previous): 0.9958964597856198 [ Info: Iteration 17 (T=0.9000000000000002) ┌ Info: Covariance-weighted error: 62.304285736582216 │ Covariance trace: 0.06357146920963859 └ Covariance trace ratio (current/previous): 0.9938858466216264 [ Info: Iteration 18 (T=0.9500000000000003) ┌ Info: Covariance-weighted error: 60.925798562397596 │ Covariance trace: 0.0632037223487277 └ Covariance trace ratio (current/previous): 0.9942152216161911 [ Info: Iteration 19 (T=1.0000000000000002) ┌ Info: Covariance-weighted error: 59.78720716179787 │ Covariance trace: 0.06294993367337759 └ Covariance trace ratio (current/previous): 0.9959845929018257 [ Info: Iteration 20 (T=1.0500000000000003) ┌ Info: Covariance-weighted error: 60.037606576739236 │ Covariance trace: 0.06285017282091991 └ Covariance trace ratio (current/previous): 0.9984152349869772 Scheduler: MutableScheduler Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DefaultScheduler ┌ Info: Initializing ensemble Kalman process of type GaussNewtonInversion │ Number of ensemble members: 30 │ Localization: SECNice │ Failure handler: SampleSuccGauss │ Scheduler: DefaultScheduler └ Accelerator: NesterovAccelerator [ Info: Iteration 0 (prior) [ Info: Covariance trace: 0.5206824090380381 [ Info: Iteration 1 (T=0.05) ┌ Info: Covariance-weighted error: 3609.6440044619026 │ Covariance trace: 0.47156833452177815 └ Covariance trace ratio (current/previous): 0.9056736435421386 [ Info: Iteration 2 (T=0.1) ┌ Info: Covariance-weighted error: 3174.593412703163 │ Covariance trace: 0.4584745428691135 └ Covariance trace ratio (current/previous): 0.9722335222827394 [ Info: Iteration 3 (T=0.2) ┌ Info: Covariance-weighted error: 2610.5661495915706 │ Covariance trace: 0.399149394356793 └ Covariance trace ratio (current/previous): 0.8706031786605504 [ Info: Iteration 4 (T=0.25) ┌ Info: Covariance-weighted error: 1681.4832244049273 │ Covariance trace: 0.35882826164480197 └ Covariance trace ratio (current/previous): 0.898982352768025 [ Info: Iteration 5 (T=0.3) ┌ Info: Covariance-weighted error: 1250.748702292418 │ Covariance trace: 0.3190013504601441 └ Covariance trace ratio (current/previous): 0.8890084326075691 [ Info: Iteration 6 (T=0.35) ┌ Info: Covariance-weighted error: 800.5226060461388 │ Covariance trace: 0.3879614052555974 └ Covariance trace ratio (current/previous): 1.216174805203745 [ Info: Iteration 7 (T=0.39999999999999997) ┌ Info: Covariance-weighted error: 480.61941489961384 │ Covariance trace: 0.6224136349983114 └ Covariance trace ratio (current/previous): 1.6043184362327272 [ Info: Iteration 8 (T=0.44999999999999996) ┌ Info: Covariance-weighted error: 604.7814977419345 │ Covariance trace: 0.7414586584146108 └ Covariance trace ratio (current/previous): 1.1912635211094345 [ Info: Iteration 9 (T=0.49999999999999994) ┌ Info: Covariance-weighted error: 710.9969329716548 │ Covariance trace: 0.9031709282557234 └ Covariance trace ratio (current/previous): 1.218100184016849 [ Info: Iteration 10 (T=0.5499999999999999) ┌ Info: Covariance-weighted error: 728.2722551752677 │ Covariance trace: 0.8768062379411656 └ Covariance trace ratio (current/previous): 0.9708087478352792 [ Info: Iteration 11 (T=0.6) ┌ Info: Covariance-weighted error: 765.2265201371524 │ Covariance trace: 0.701860155948223 └ Covariance trace ratio (current/previous): 0.8004734975383676 [ Info: Iteration 12 (T=0.65) ┌ Info: Covariance-weighted error: 639.3152764199564 │ Covariance trace: 0.5921068176222902 └ Covariance trace ratio (current/previous): 0.8436250620643161 [ Info: Iteration 13 (T=0.7000000000000001) ┌ Info: Covariance-weighted error: 590.4483579730208 │ Covariance trace: 0.45641504433049185 └ Covariance trace ratio (current/previous): 0.7708322734119281 [ Info: Iteration 14 (T=0.7500000000000001) ┌ Info: Covariance-weighted error: 504.0635191503606 │ Covariance trace: 0.34655896461094726 └ Covariance trace ratio (current/previous): 0.7593066199632162 [ Info: Iteration 15 (T=0.8000000000000002) ┌ Info: Covariance-weighted error: 446.35567573205833 │ Covariance trace: 0.3701503201777405 └ Covariance trace ratio (current/previous): 1.0680731361062246 [ Info: Iteration 16 (T=0.8500000000000002) ┌ Info: Covariance-weighted error: 414.2594795134636 │ Covariance trace: 0.6068490813075228 └ Covariance trace ratio (current/previous): 1.6394665848623964 [ Info: Iteration 17 (T=0.9000000000000002) ┌ Info: Covariance-weighted error: 739.1931866608859 │ Covariance trace: 0.6940922342076752 └ Covariance trace ratio (current/previous): 1.143764167381085 [ Info: Iteration 18 (T=0.9500000000000003) ┌ Info: Covariance-weighted error: 701.6866281423787 │ Covariance trace: 0.8202524727991228 └ Covariance trace ratio (current/previous): 1.1817629305930255 [ Info: Iteration 19 (T=1.0000000000000002) ┌ Info: Covariance-weighted error: 1364.9524245680743 │ Covariance trace: 1.001118513547993 └ Covariance trace ratio (current/previous): 1.2205004516861282 [ Info: Iteration 20 (T=1.0500000000000003) ┌ Info: Covariance-weighted error: 1648.0576321891756 │ Covariance trace: 1.2594267942891526 └ Covariance trace ratio (current/previous): 1.2580196822309355 Scheduler: MutableScheduler Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DefaultScheduler Scheduler: MutableScheduler Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DefaultScheduler Scheduler: MutableScheduler Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 [ Info: No error with flag deterministic_forward_map = false [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. [ Info: Imputed 10 NaNs ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Imputed 9 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 9 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 6 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 6 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: Imputed 6 NaNs [ Info: 3 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 6 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 9 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 9 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Imputed 6 NaNs [ Info: 3 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 6 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Imputed 7 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 7 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 7 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 7 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Imputed 7 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 7 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 10 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Imputed 9 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 9 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 9 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 9 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 8 NaNs [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: `impose_prior=true` but `prior_mean=nothing`, taking initial mean as prior mean. [ Info: `impose_prior=true` but `prior_cov=nothing`, taking initial covariance as prior covariance [ Info: `impose_prior=true` but `prior_mean=nothing`, taking initial mean as prior mean. [ Info: `impose_prior=true` but `prior_cov=nothing`, taking initial covariance as prior covariance [ Info: testing Unscented on problem 1 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: testing TransformUnscented on problem 1 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: testing Unscented on problem 2 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: testing TransformUnscented on problem 2 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: testing Unscented on problem 3 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: testing TransformUnscented on problem 3 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: testing Unscented on problem 4 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: testing TransformUnscented on problem 4 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: testing Unscented on problem 5 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: testing TransformUnscented on problem 5 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: testing Unscented on problem 6 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: testing TransformUnscented on problem 6 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. ┌ Info: 10 iterations of experiment etki with 10-dim observation took 0.004912082000000001 seconds. └ (avg update: 0.0004912082000000001) ┌ Info: 10 iterations of experiment etki-inf with 10-dim observation took 0.005087029999999999 seconds. └ (avg update: 0.0005087029999999999) ┌ Info: 10 iterations of experiment etki-svd with 10-dim observation took 5.290882879000001 seconds. └ (avg update: 0.5290882879000001) ┌ Info: 10 iterations of experiment etki-svdT with 10-dim observation took 0.54274083 seconds. └ (avg update: 0.054274082999999994) ┌ Info: 10 iterations of experiment utki with 10-dim observation took 0.002279556 seconds. └ (avg update: 0.0002279556) ┌ Info: 10 iterations of experiment utki-svdplusdiag with 10-dim observation took 3.4371306440000002 seconds. └ (avg update: 0.34371306440000005) ┌ Info: 10 iterations of experiment etki with 100-dim observation took 0.008497498999999999 seconds. └ (avg update: 0.0008497498999999999) ┌ Info: 10 iterations of experiment etki-inf with 100-dim observation took 0.084217513 seconds. └ (avg update: 0.008421751299999999) ┌ Info: 10 iterations of experiment etki-svd with 100-dim observation took 0.008342101 seconds. └ (avg update: 0.0008342101) [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 9 iterations of experiment etki-svdT with 100-dim observation took 0.007861064000000001 seconds. └ (avg update: 0.0008734515555555557) ┌ Info: 9 iterations of experiment utki with 100-dim observation took 0.0026785819999999997 seconds. └ (avg update: 0.0002976202222222222) ┌ Info: 9 iterations of experiment utki-svdplusdiag with 100-dim observation took 0.0033337370000000002 seconds. └ (avg update: 0.00037041522222222226) [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Info: 10 iterations of experiment etki with 1000-dim observation took 0.077781264 seconds. └ (avg update: 0.0077781264) ┌ Info: 10 iterations of experiment etki-inf with 1000-dim observation took 0.048913455 seconds. └ (avg update: 0.0048913455) [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 7 iterations of experiment etki-svd with 1000-dim observation took 0.036794745000000004 seconds. └ (avg update: 0.005256392142857143) [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 6 iterations of experiment etki-svdT with 1000-dim observation took 0.034125738 seconds. └ (avg update: 0.005687623) ┌ Info: 6 iterations of experiment utki with 1000-dim observation took 0.010610528000000001 seconds. └ (avg update: 0.0017684213333333334) ┌ Info: 6 iterations of experiment utki-svdplusdiag with 1000-dim observation took 0.020376662 seconds. └ (avg update: 0.0033961103333333335) [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 7 iterations of experiment etki with 10000-dim observation took 0.417204489 seconds. └ (avg update: 0.05960064128571429) ┌ Error: The update of experiment etki for 10000 observations should take under 0.04 per update, received 0.05960064128571429. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Info: 7 iterations of experiment etki-inf with 10000-dim observation took 1.682460128 seconds. └ (avg update: 0.24035144685714285) ┌ Error: The update of experiment etki-inf for 10000 observations should take under 0.04 per update, received 0.24035144685714285. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 4 iterations of experiment etki-svd with 10000-dim observation took 0.25160588500000003 seconds. └ (avg update: 0.06290147125000001) ┌ Error: The update of experiment etki-svd for 10000 observations should take under 0.04 per update, received 0.06290147125000001. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 4 iterations of experiment etki-svdT with 10000-dim observation took 0.182115212 seconds. └ (avg update: 0.045528803) ┌ Info: 4 iterations of experiment utki with 10000-dim observation took 0.09684738799999999 seconds. └ (avg update: 0.024211846999999998) ┌ Info: 4 iterations of experiment utki-svdplusdiag with 10000-dim observation took 0.145050531 seconds. └ (avg update: 0.03626263275) [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 6 iterations of experiment etki with 100000-dim observation took 6.54155994 seconds. └ (avg update: 1.09025999) ┌ Error: The update of experiment etki for 100000 observations should take under 0.39999999999999997 per update, received 1.09025999. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 8 iterations of experiment etki-inf with 100000-dim observation took 4.812176825 seconds. └ (avg update: 0.601522103125) ┌ Error: The update of experiment etki-inf for 100000 observations should take under 0.39999999999999997 per update, received 0.601522103125. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 3 iterations of experiment etki-svd with 100000-dim observation took 2.501988566 seconds. └ (avg update: 0.8339961886666667) ┌ Error: The update of experiment etki-svd for 100000 observations should take under 0.39999999999999997 per update, received 0.8339961886666667. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 3 iterations of experiment etki-svdT with 100000-dim observation took 1.273123984 seconds. └ (avg update: 0.4243746613333333) ┌ Info: 3 iterations of experiment utki with 100000-dim observation took 2.169221507 seconds. └ (avg update: 0.7230738356666667) ┌ Error: The update of experiment utki for 100000 observations should take under 0.39999999999999997 per update, received 0.7230738356666667. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 ┌ Info: 3 iterations of experiment utki-svdplusdiag with 100000-dim observation took 1.3539793980000001 seconds. └ (avg update: 0.45132646600000004) [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 6 iterations of experiment etki with 1000000-dim observation took 56.848979838 seconds. └ (avg update: 9.474829973) ┌ Error: The update of experiment etki for 1000000 observations should take under 4.0 per update, received 9.474829973. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 9 iterations of experiment etki-inf with 1000000-dim observation took 83.682523758 seconds. └ (avg update: 9.298058195333333) ┌ Error: The update of experiment etki-inf for 1000000 observations should take under 4.0 per update, received 9.298058195333333. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 2 iterations of experiment etki-svd with 1000000-dim observation took 17.356746899 seconds. └ (avg update: 8.6783734495) ┌ Error: The update of experiment etki-svd for 1000000 observations should take under 4.0 per update, received 8.6783734495. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 ┌ Info: 2 iterations of experiment etki-svdT with 1000000-dim observation took 17.737883001 seconds. └ (avg update: 8.8689415005) ┌ Error: The update of experiment etki-svdT for 1000000 observations should take under 4.0 per update, received 8.8689415005. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 ┌ Info: 2 iterations of experiment utki with 1000000-dim observation took 12.696856640999998 seconds. └ (avg update: 6.348428320499999) ┌ Error: The update of experiment utki for 1000000 observations should take under 4.0 per update, received 6.348428320499999. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 ┌ Info: 2 iterations of experiment utki-svdplusdiag with 1000000-dim observation took 21.244052696 seconds. └ (avg update: 10.622026348) ┌ Error: The update of experiment utki-svdplusdiag for 1000000 observations should take under 4.0 per update, received 10.622026348. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/runtests.jl:1313 [ Info: No error with flag deterministic_forward_map = false [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates │ Set on_terminate="continue" in `DataMisfitController` to ignore termination └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/LearningRateSchedulers.jl:293 [ Info: No error with flag deterministic_forward_map = false [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: No error with flag deterministic_forward_map = false [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. Completed tests for EnsembleKalmanProcess, 1063 seconds elapsed Starting tests for Localizers ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:249 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 5`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:249 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 5`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 Completed tests for Localizers, 8 seconds elapsed Starting tests for TOMLInterface ┌ Warning: `MvNormal(d::Int, σ::Real)` is deprecated, use `MvNormal(LinearAlgebra.Diagonal(FillArrays.Fill(σ ^ 2, d)))` instead. │ caller = ip:0x0 └ @ Core :-1 ┌ Warning: For 28 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 40`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/AwvFd/src/EnsembleKalmanProcess.jl:254 Completed tests for TOMLInterface, 51 seconds elapsed Starting tests for SparseInversion WARNING: Method definition G_linear(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:12 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition linear_map(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:21 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition G_nonlinear(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:41 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.G_nonlinear), Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:41 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition G_nonlinear_old(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:99 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.G_nonlinear_old), Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:99 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition linear_inv_problem(Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:148 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.linear_inv_problem), Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:148 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition nonlinear_inv_problem(Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:182 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.nonlinear_inv_problem), Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:182 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition nonlinear_inv_problem_old(Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:197 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.nonlinear_inv_problem_old), Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:197 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition plot_inv_problem_ensemble(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:209 overwritten on the same line (check for duplicate calls to `include`). [ Info: [Convex.jl] Compilation finished: 62.46 seconds, 1.115 GiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.02 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 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[Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 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[Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 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[Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated Scheduler: DefaultScheduler [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.42 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation 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KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated Scheduler: MutableScheduler [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation 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[Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.312 KiB of memory allocated Completed tests for SparseInversion, 164 seconds elapsed Starting tests for Inflation WARNING: Method definition G_linear(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:12 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition linear_map(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:21 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition G_nonlinear(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:41 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.G_nonlinear), Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:41 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition G_nonlinear_old(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:99 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.G_nonlinear_old), Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:99 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition linear_inv_problem(Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:148 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.linear_inv_problem), Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:148 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition nonlinear_inv_problem(Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:182 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.nonlinear_inv_problem), Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:182 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition nonlinear_inv_problem_old(Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:197 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.nonlinear_inv_problem_old), Any, Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:197 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition plot_inv_problem_ensemble(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/AwvFd/test/EnsembleKalmanProcess/inverse_problem.jl:209 overwritten on the same line (check for duplicate calls to `include`). Completed tests for Inflation, 4 seconds elapsed Test Summary: | Pass Total Time EnsembleKalmanProcesses | 5370 5370 34m30.6s Testing EnsembleKalmanProcesses tests passed Testing completed after 2071.64s PkgEval succeeded after 2408.59s