Package evaluation of EnsembleKalmanProcesses on Julia 1.13.0-DEV.111 (ce76dbf07d*) started at 2025-02-28T08:48:22.167 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.85s ################################################################################ # Installation # Installing EnsembleKalmanProcesses... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [aa8a2aa5] + EnsembleKalmanProcesses v2.1.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [14f7f29c] + AMD v0.5.3 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.2.0 [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 [d1d4a3ce] + BitFlags v0.1.9 [d360d2e6] + ChainRulesCore v1.25.1 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [35d6a980] + ColorSchemes v3.29.0 [3da002f7] + ColorTypes v0.12.0 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [187b0558] + ConstructionBase v1.5.8 [d38c429a] + Contour v0.6.3 [f65535da] + Convex v0.16.4 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.20 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [31c24e10] + Distributions v0.25.117 [ffbed154] + DocStringExtensions v0.9.3 [aa8a2aa5] + EnsembleKalmanProcesses v2.1.0 [460bff9d] + ExceptionUnwrapping v0.1.11 [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 [53c48c17] + FixedPointNumbers v0.8.5 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v0.10.38 [28b8d3ca] + GR v0.73.13 [e4b2fa32] + GaussianRandomFields v2.2.5 [42e2da0e] + Grisu v1.0.2 [cd3eb016] + HTTP v1.10.15 [34004b35] + HypergeometricFunctions v0.3.27 [a98d9a8b] + Interpolations v0.15.1 [92d709cd] + IrrationalConstants v0.2.4 [1019f520] + JLFzf v0.1.9 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.1 [40e66cde] + LDLFactorizations v0.10.1 [b964fa9f] + LaTeXStrings v1.4.0 [23fbe1c1] + Latexify v0.16.6 [d3d80556] + LineSearches v7.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.15 [b8f27783] + MathOptInterface v1.37.0 [739be429] + MbedTLS v1.1.9 [442fdcdd] + Measures v0.3.2 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.4 [d41bc354] + NLSolversBase v7.8.3 [77ba4419] + NaNMath v1.1.2 [6fe1bfb0] + OffsetArrays v1.15.0 [4d8831e6] + OpenSSL v1.4.3 [429524aa] + Optim v1.11.0 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.32 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.1 [b98c9c47] + Pipe v1.3.0 [ccf2f8ad] + PlotThemes v3.3.0 [995b91a9] + PlotUtils v1.4.3 [91a5bcdd] + Plots v1.40.9 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.2.1 [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 [01d81517] + RecipesPipeline v0.6.12 [189a3867] + Reexport v1.2.2 [05181044] + RelocatableFolders v1.0.1 [ae029012] + Requires v1.3.1 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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 5.45s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 242.35s ################################################################################ # Testing # Testing EnsembleKalmanProcesses Status `/tmp/jl_2asjy9/Project.toml` [f65535da] Convex v0.16.4 [31c24e10] Distributions v0.25.117 [ffbed154] DocStringExtensions v0.9.3 [aa8a2aa5] EnsembleKalmanProcesses v2.1.0 [c87230d0] FFMPEG v0.4.2 [e4b2fa32] GaussianRandomFields v2.2.5 [a98d9a8b] Interpolations v0.15.1 [b8f27783] MathOptInterface v1.37.0 [429524aa] Optim v1.11.0 [91a5bcdd] Plots v1.40.9 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [c946c3f1] SCS v2.0.2 [860ef19b] StableRNGs v1.0.2 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.4 [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_2asjy9/Manifest.toml` [14f7f29c] AMD v0.5.3 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [79e6a3ab] Adapt v4.2.0 [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 [d1d4a3ce] BitFlags v0.1.9 [d360d2e6] ChainRulesCore v1.25.1 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.29.0 [3da002f7] ColorTypes v0.12.0 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.0 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.5.8 [d38c429a] Contour v0.6.3 [f65535da] Convex v0.16.4 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.20 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.117 [ffbed154] DocStringExtensions v0.9.3 [aa8a2aa5] EnsembleKalmanProcesses v2.1.0 [460bff9d] ExceptionUnwrapping v0.1.11 [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 [53c48c17] FixedPointNumbers v0.8.5 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v0.10.38 [28b8d3ca] GR v0.73.13 [e4b2fa32] GaussianRandomFields v2.2.5 [42e2da0e] Grisu v1.0.2 [cd3eb016] HTTP v1.10.15 [34004b35] HypergeometricFunctions v0.3.27 [a98d9a8b] Interpolations v0.15.1 [92d709cd] IrrationalConstants v0.2.4 [1019f520] JLFzf v0.1.9 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.1 [40e66cde] LDLFactorizations v0.10.1 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.6 [d3d80556] LineSearches v7.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [1914dd2f] MacroTools v0.5.15 [b8f27783] MathOptInterface v1.37.0 [739be429] MbedTLS v1.1.9 [442fdcdd] Measures v0.3.2 [e1d29d7a] Missings v1.2.0 [d8a4904e] MutableArithmetics v1.6.4 [d41bc354] NLSolversBase v7.8.3 [77ba4419] NaNMath v1.1.2 [6fe1bfb0] OffsetArrays v1.15.0 [4d8831e6] OpenSSL v1.4.3 [429524aa] Optim v1.11.0 [bac558e1] OrderedCollections v1.8.0 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Packages 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... 4630.7 ms ✓ FastGaussQuadrature 21180.2 ms ✓ Convex 11646.1 ms ✓ SCS 12861.2 ms ✓ Optim 126108.7 ms ✓ Plots 10042.7 ms ✓ Optim → OptimMOIExt 22459.7 ms ✓ Plots → UnitfulExt 7474.4 ms ✓ GaussianRandomFields 21305.3 ms ✓ EnsembleKalmanProcesses 9 dependencies successfully precompiled in 243 seconds. 271 already precompiled. Completed tests for DataContainers, 268 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, 143 seconds elapsed Starting tests for PlotRecipes Completed tests for PlotRecipes, 0 seconds elapsed Starting tests for Observations Completed tests for Observations, 46 seconds elapsed Starting tests for UpdateGroup Completed tests for UpdateGroup, 10 seconds elapsed Starting tests for EnsembleKalmanProcess Precompiling packages... 11181.0 ms ✓ RecipesPipeline 1718.3 ms ✓ HarfBuzz_jll 1676.8 ms ✓ libass_jll 1586.7 ms ✓ Pango_jll 1947.2 ms ✓ FFMPEG_jll 1792.6 ms ✓ libdecor_jll 1795.0 ms ✓ FFMPEG 1930.1 ms ✓ GLFW_jll 2210.0 ms ✓ GR_jll 7353.8 ms ✓ GR 118818.5 ms ✓ Plots 22571.3 ms ✓ Plots → UnitfulExt 12 dependencies successfully precompiled in 176 seconds. 176 already precompiled. ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:258 ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:258 ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:258 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 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.681469088608958 Accelerator: ConstantNesterovAccelerator Process: Unscented ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 20.488692614847718 Accelerator: FirstOrderNesterovAccelerator Process: Unscented ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.302694893399163 Accelerator: NesterovAccelerator Process: Unscented ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.317708557988915 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 = 4.586960214237289 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/grZ1I/src/LearningRateSchedulers.jl:300 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.432282197608585 Accelerator: FirstOrderNesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.430813141566851 Accelerator: NesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.563249376269814 Accelerator: DefaultAccelerator Process: Unscented ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.287890653168676 Accelerator: ConstantNesterovAccelerator Process: Unscented ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.459552750174578 Accelerator: FirstOrderNesterovAccelerator Process: Unscented ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.218564609988762 Accelerator: NesterovAccelerator Process: Unscented ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.220957433176821 Accelerator: DefaultAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 47.534583276807076 Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 41.16549972649359 Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 31.19307115814724 Accelerator: NesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 29.94032477195789 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/grZ1I/src/EnsembleKalmanProcess.jl:258 ┌ 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/grZ1I/src/EnsembleKalmanProcess.jl:258 ┌ 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/grZ1I/src/EnsembleKalmanProcess.jl:258 ┌ 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 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 Scheduler: MutableScheduler ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 Scheduler: DataMisfitController ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1 Scheduler: DataMisfitController ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ 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. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/LearningRateSchedulers.jl:305 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ 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. [ 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: `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 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 4. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 4. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 4. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 4. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 4. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 4. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. [ 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/grZ1I/src/LearningRateSchedulers.jl:305 [ 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: 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: 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: 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: 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: 100 iterations of ETKI with 10 observations took 0.046483784 seconds. (avg update: 0.00046483784) [ Info: 100 iterations of ETKI with 100 observations took 0.06586850499999997 seconds. (avg update: 0.0006586850499999997) [ Info: 100 iterations of ETKI with 1000 observations took 0.3475558199999998 seconds. (avg update: 0.003475558199999998) [ Info: 100 iterations of ETKI with 10000 observations took 5.404314900999999 seconds. (avg update: 0.05404314900999999) [ 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/grZ1I/src/LearningRateSchedulers.jl:300 [ 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, 740 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/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 5`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:221 ┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 5`. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/grZ1I/src/EnsembleKalmanProcess.jl:226 Completed tests for Localizers, 7 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/grZ1I/src/EnsembleKalmanProcess.jl:226 Completed tests for TOMLInterface, 48 seconds elapsed Starting tests for SparseInversion WARNING: Method definition G_linear(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/test/EnsembleKalmanProcess/inverse_problem.jl:209 overwritten on the same line (check for duplicate calls to `include`). [ Info: [Convex.jl] Compilation finished: 62.1 seconds, 1.635 GiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated Scheduler: DefaultScheduler [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 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KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated Scheduler: MutableScheduler [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB 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finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 148.406 KiB of memory allocated Completed tests for SparseInversion, 165 seconds elapsed Starting tests for Inflation WARNING: Method definition G_linear(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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/grZ1I/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 | 4341 4341 23m50.5s Testing EnsembleKalmanProcesses tests passed Testing completed after 1436.34s PkgEval succeeded after 1713.24s