Package evaluation of EnsembleKalmanProcesses on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T17:19:42.836


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.17s


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# Installation
#

Installing EnsembleKalmanProcesses...
   Resolving package versions...
    Updating `~/.julia/environments/v1.10/Project.toml`
  [aa8a2aa5] + EnsembleKalmanProcesses v2.1.0
    Updating `~/.julia/environments/v1.10/Manifest.toml`
  [14f7f29c] + AMD v0.5.3
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  [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
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  [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
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  [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
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  [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
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        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

Installation completed after 9.88s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 122.8s


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# Testing
#

     Testing EnsembleKalmanProcesses
      Status `/tmp/jl_3GxDWv/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
  [2913bbd2] StatsBase v0.34.4
  [37e2e46d] LinearAlgebra
  [9a3f8284] Random
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [fa267f1f] TOML v1.0.3
  [8dfed614] Test
      Status `/tmp/jl_3GxDWv/Manifest.toml`
  [14f7f29c] AMD v0.5.3
  [621f4979] AbstractFFTs v1.5.0
  [1520ce14] AbstractTrees v0.4.5
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  [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
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  [d3d80556] LineSearches v7.3.0
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  [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
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  [01d81517] RecipesPipeline v0.6.12
  [189a3867] Reexport v1.2.2
  [05181044] RelocatableFolders v1.0.1
  [ae029012] Requires v1.3.0
  [79098fc4] Rmath v0.8.0
  [c946c3f1] SCS v2.0.2
  [6c6a2e73] Scratch v1.2.1
  [efcf1570] Setfield v1.1.1
  [992d4aef] Showoff v1.0.3
  [777ac1f9] SimpleBufferStream v1.2.0
  [a2af1166] SortingAlgorithms v1.2.1
  [276daf66] SpecialFunctions v2.5.0
  [860ef19b] StableRNGs v1.0.2
  [90137ffa] StaticArrays v1.9.12
  [1e83bf80] StaticArraysCore v1.4.3
  [82ae8749] StatsAPI v1.7.0
  [2913bbd2] StatsBase v0.34.4
  [4c63d2b9] StatsFuns v1.3.2
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        Info 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
Completed tests for DataContainers, 10 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, 112 seconds elapsed
Starting tests for PlotRecipes
Completed tests for PlotRecipes, 0 seconds elapsed
Starting tests for Observations
Completed tests for Observations, 35 seconds elapsed
Starting tests for UpdateGroup
Completed tests for UpdateGroup, 8 seconds elapsed
Starting tests for EnsembleKalmanProcess
┌ 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 = 258.9742333200994
└   cost_final = 4.773638342342
Accelerator: ConstantNesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 18.40303483167731
Accelerator: FirstOrderNesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 9.16591311447414
Accelerator: NesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 11.01879046413594
Accelerator: DefaultAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 5.229256530322848
Accelerator: ConstantNesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 5.017061983077607
Accelerator: FirstOrderNesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 6.698169851793579
Accelerator: NesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 7.889274014820709
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 = 258.9742333200994
└   cost_final = 8.320981598302632
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 = 258.9742333200994
└   cost_final = 26.43518094002731
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 = 258.9742333200994
└   cost_final = 9.183138464152323
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 = 258.9742333200994
└   cost_final = 9.19346186271735
Accelerator: DefaultAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 5.437687174727729
Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 18.612692366412784
Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 17.5916653989954
Accelerator: NesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 11.745877084087555
Accelerator: DefaultAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 25.793558299313364
Accelerator: ConstantNesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 20.029866023064262
Accelerator: FirstOrderNesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 23.26689455081242
Accelerator: NesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 22.3296645180875
Accelerator: DefaultAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 9.837135195927322
Accelerator: ConstantNesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 4.9425669146440585
Accelerator: FirstOrderNesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 7.493373754458037
Accelerator: NesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 19.131872479485825
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 = 258.9742333200994
└   cost_final = 6.881838782942062
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 = 258.9742333200994
└   cost_final = 6.8206851486176
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 = 258.9742333200994
└   cost_final = 6.935301015355601
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 = 258.9742333200994
└   cost_final = 6.953269613285399
Accelerator: DefaultAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 44.02091272262644
Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 36.14019769167192
Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 21.856684024947196
Accelerator: NesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 19.711446980596875
Accelerator: DefaultAccelerator Process: Sampler
┌ Info: Convergence:
│   cost_initial = 258.9742333200994
└   cost_final = 18.369656175642014
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 = 258.9742333200994
└   cost_final = 7.340215426880828
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 = 258.9742333200994
└   cost_final = 7.699758380789637
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 = 258.9742333200994
└   cost_final = 5.954528895135654
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: 0.5199860541935413
[ Info: Iteration 1 (T=0.05)
┌ Info: Covariance-weighted error: 3190.933877885312
│ Covariance trace: 0.2276028258951861
└ Covariance trace ratio (current/previous): 0.43770948097479406
[ Info: Iteration 2 (T=0.1)
┌ Info: Covariance-weighted error: 237.75883036233432
│ Covariance trace: 0.14778359536145386
└ Covariance trace ratio (current/previous): 0.649304747338726
[ Info: Iteration 3 (T=0.2)
┌ Info: Covariance-weighted error: 82.66389240396614
│ Covariance trace: 0.11014391635931599
└ Covariance trace ratio (current/previous): 0.7453054318371567
[ Info: Iteration 4 (T=0.25)
┌ Info: Covariance-weighted error: 87.05048853222797
│ Covariance trace: 0.10359788905058467
└ Covariance trace ratio (current/previous): 0.9405684169847693
[ Info: Iteration 5 (T=0.3)
┌ Info: Covariance-weighted error: 87.5630743374717
│ Covariance trace: 0.09680512435916233
└ Covariance trace ratio (current/previous): 0.9344314372264325
[ Info: Iteration 6 (T=0.35)
┌ Info: Covariance-weighted error: 80.20720468785933
│ Covariance trace: 0.09391680565730715
└ Covariance trace ratio (current/previous): 0.9701635763501624
[ Info: Iteration 7 (T=0.39999999999999997)
┌ Info: Covariance-weighted error: 79.58334415095776
│ Covariance trace: 0.09199601882748656
└ Covariance trace ratio (current/previous): 0.9795479965872207
[ Info: Iteration 8 (T=0.44999999999999996)
┌ Info: Covariance-weighted error: 77.89054997415819
│ Covariance trace: 0.09064881174403262
└ Covariance trace ratio (current/previous): 0.9853558110380813
[ Info: Iteration 9 (T=0.49999999999999994)
┌ Info: Covariance-weighted error: 76.83487878801141
│ Covariance trace: 0.08966473080029673
└ Covariance trace ratio (current/previous): 0.9891440282028774
[ Info: Iteration 10 (T=0.5499999999999999)
┌ Info: Covariance-weighted error: 78.35045531025487
│ Covariance trace: 0.08892249804612809
└ Covariance trace ratio (current/previous): 0.9917221325760542
[ Info: Iteration 11 (T=0.6)
┌ Info: Covariance-weighted error: 77.67235027543012
│ Covariance trace: 0.0883479676440219
└ Covariance trace ratio (current/previous): 0.9935389759090196
[ Info: Iteration 12 (T=0.65)
┌ Info: Covariance-weighted error: 80.18962821098197
│ Covariance trace: 0.08789360992208499
└ Covariance trace ratio (current/previous): 0.9948571796946406
[ Info: Iteration 13 (T=0.7000000000000001)
┌ Info: Covariance-weighted error: 78.37355097975151
│ Covariance trace: 0.08752774934108372
└ Covariance trace ratio (current/previous): 0.9958374609789541
[ Info: Iteration 14 (T=0.7500000000000001)
┌ Info: Covariance-weighted error: 77.15126730423259
│ Covariance trace: 0.08722857968682056
└ Covariance trace ratio (current/previous): 0.9965820022048398
[ Info: Iteration 15 (T=0.8000000000000002)
┌ Info: Covariance-weighted error: 76.12100740524095
│ Covariance trace: 0.08698067038087813
└ Covariance trace ratio (current/previous): 0.9971579348553822
[ Info: Iteration 16 (T=0.8500000000000002)
┌ Info: Covariance-weighted error: 77.85800655226029
│ Covariance trace: 0.08677283990726398
└ Covariance trace ratio (current/previous): 0.9976106131085897
[ Info: Iteration 17 (T=0.9000000000000002)
┌ Info: Covariance-weighted error: 77.57759589389441
│ Covariance trace: 0.0865968175368322
└ Covariance trace ratio (current/previous): 0.9979714577669706
[ Info: Iteration 18 (T=0.9500000000000003)
┌ Info: Covariance-weighted error: 77.62048257238091
│ Covariance trace: 0.08644637651960578
└ Covariance trace ratio (current/previous): 0.9982627419632086
[ Info: Iteration 19 (T=1.0000000000000002)
┌ Info: Covariance-weighted error: 74.63274061022818
│ Covariance trace: 0.08615825997693864
└ Covariance trace ratio (current/previous): 0.9966671067745472
[ Info: Iteration 20 (T=1.0500000000000003)
┌ Info: Covariance-weighted error: 75.82948227572732
│ Covariance trace: 0.08598309046405897
└ Covariance trace ratio (current/previous): 0.9979668866000014
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: 0.5199860541935413
[ Info: Iteration 1 (T=0.05)
┌ Info: Covariance-weighted error: 3237.3693456067576
│ Covariance trace: 0.2402909940521905
└ Covariance trace ratio (current/previous): 0.46211045876002105
[ Info: Iteration 2 (T=0.1)
┌ Info: Covariance-weighted error: 257.5183355603535
│ Covariance trace: 0.1756787299213693
└ Covariance trace ratio (current/previous): 0.7311082573623728
[ Info: Iteration 3 (T=0.2)
┌ Info: Covariance-weighted error: 85.95778257493261
│ Covariance trace: 0.1433371310095995
└ Covariance trace ratio (current/previous): 0.8159048683568846
[ Info: Iteration 4 (T=0.25)
┌ Info: Covariance-weighted error: 103.1498753934616
│ Covariance trace: 0.13429260596980758
└ Covariance trace ratio (current/previous): 0.9369003343649581
[ Info: Iteration 5 (T=0.3)
┌ Info: Covariance-weighted error: 93.31082058871642
│ Covariance trace: 0.12849079536694913
└ Covariance trace ratio (current/previous): 0.9567972446363663
[ Info: Iteration 6 (T=0.35)
┌ Info: Covariance-weighted error: 88.95543148404809
│ Covariance trace: 0.12609655110255322
└ Covariance trace ratio (current/previous): 0.9813664141656347
[ Info: Iteration 7 (T=0.39999999999999997)
┌ Info: Covariance-weighted error: 89.36889546243461
│ Covariance trace: 0.12283531077767881
└ Covariance trace ratio (current/previous): 0.9741369585737356
[ Info: Iteration 8 (T=0.44999999999999996)
┌ Info: Covariance-weighted error: 85.14461436138208
│ Covariance trace: 0.11944048679750208
└ Covariance trace ratio (current/previous): 0.9723628005767733
[ Info: Iteration 9 (T=0.49999999999999994)
┌ Info: Covariance-weighted error: 87.50923873791437
│ Covariance trace: 0.11700188253564582
└ Covariance trace ratio (current/previous): 0.9795831017836469
[ Info: Iteration 10 (T=0.5499999999999999)
┌ Info: Covariance-weighted error: 79.23632356045286
│ Covariance trace: 0.11514268756552484
└ Covariance trace ratio (current/previous): 0.9841097003755085
[ Info: Iteration 11 (T=0.6)
┌ Info: Covariance-weighted error: 79.3048202736015
│ Covariance trace: 0.11269871506977922
└ Covariance trace ratio (current/previous): 0.9787744011589549
[ Info: Iteration 12 (T=0.65)
┌ Info: Covariance-weighted error: 76.26632524881362
│ Covariance trace: 0.11051757422378733
└ Covariance trace ratio (current/previous): 0.9806462669548504
[ Info: Iteration 13 (T=0.7000000000000001)
┌ Info: Covariance-weighted error: 79.62928779887575
│ Covariance trace: 0.10868558252436877
└ Covariance trace ratio (current/previous): 0.9834235259660247
[ Info: Iteration 14 (T=0.7500000000000001)
┌ Info: Covariance-weighted error: 74.57943900627224
│ Covariance trace: 0.10705545811128012
└ Covariance trace ratio (current/previous): 0.9850014659237516
[ Info: Iteration 15 (T=0.8000000000000002)
┌ Info: Covariance-weighted error: 76.06249669896879
│ Covariance trace: 0.10523676098717033
└ Covariance trace ratio (current/previous): 0.9830116356868108
[ Info: Iteration 16 (T=0.8500000000000002)
┌ Info: Covariance-weighted error: 81.06162577268424
│ Covariance trace: 0.10337816155711668
└ Covariance trace ratio (current/previous): 0.982338876523573
[ Info: Iteration 17 (T=0.9000000000000002)
┌ Info: Covariance-weighted error: 73.52861928832299
│ Covariance trace: 0.10173086529259541
└ Covariance trace ratio (current/previous): 0.984065336046713
[ Info: Iteration 18 (T=0.9500000000000003)
┌ Info: Covariance-weighted error: 75.08560135165436
│ Covariance trace: 0.09984752460635148
└ Covariance trace ratio (current/previous): 0.9814870277488831
[ Info: Iteration 19 (T=1.0000000000000002)
┌ Info: Covariance-weighted error: 76.51300691461341
│ Covariance trace: 0.09858672602120001
└ Covariance trace ratio (current/previous): 0.9873727607156797
[ Info: Iteration 20 (T=1.0500000000000003)
┌ Info: Covariance-weighted error: 73.41989030227178
│ Covariance trace: 0.09732822108051006
└ Covariance trace ratio (current/previous): 0.9872345396638963
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: 0.5199860541935413
[ Info: Iteration 1 (T=0.05)
┌ Info: Covariance-weighted error: 3111.8238486162713
│ Covariance trace: 0.47086298779115154
└ Covariance trace ratio (current/previous): 0.9055300310340517
[ Info: Iteration 2 (T=0.1)
┌ Info: Covariance-weighted error: 2768.9834211703646
│ Covariance trace: 0.4225050991026639
└ Covariance trace ratio (current/previous): 0.8972994481572281
[ Info: Iteration 3 (T=0.2)
┌ Info: Covariance-weighted error: 2332.9407998472593
│ Covariance trace: 0.3947923381724469
└ Covariance trace ratio (current/previous): 0.9344084580539391
[ Info: Iteration 4 (T=0.25)
┌ Info: Covariance-weighted error: 1559.803846322663
│ Covariance trace: 0.4427214894284365
└ Covariance trace ratio (current/previous): 1.1214034483998874
[ Info: Iteration 5 (T=0.3)
┌ Info: Covariance-weighted error: 1165.462150216031
│ Covariance trace: 0.486877593125663
└ Covariance trace ratio (current/previous): 1.0997378820581605
[ Info: Iteration 6 (T=0.35)
┌ Info: Covariance-weighted error: 723.6361084041615
│ Covariance trace: 0.4705435658704983
└ Covariance trace ratio (current/previous): 0.9664514705835952
[ Info: Iteration 7 (T=0.39999999999999997)
┌ Info: Covariance-weighted error: 286.29749751190496
│ Covariance trace: 0.4634623716460009
└ Covariance trace ratio (current/previous): 0.9849510337870686
[ Info: Iteration 8 (T=0.44999999999999996)
┌ Info: Covariance-weighted error: 296.40534056990225
│ Covariance trace: 0.5670751954315192
└ Covariance trace ratio (current/previous): 1.2235625373804009
[ Info: Iteration 9 (T=0.49999999999999994)
┌ Info: Covariance-weighted error: 453.8924094887093
│ Covariance trace: 0.6653140643041352
└ Covariance trace ratio (current/previous): 1.17323781689633
[ Info: Iteration 10 (T=0.5499999999999999)
┌ Info: Covariance-weighted error: 421.4617784320863
│ Covariance trace: 0.723031630318713
└ Covariance trace ratio (current/previous): 1.086752361194928
[ Info: Iteration 11 (T=0.6)
┌ Info: Covariance-weighted error: 581.6212806508586
│ Covariance trace: 0.9762798983170861
└ Covariance trace ratio (current/previous): 1.35025890622066
[ Info: Iteration 12 (T=0.65)
┌ Info: Covariance-weighted error: 939.1371240823811
│ Covariance trace: 1.1768208848206476
└ Covariance trace ratio (current/previous): 1.205413413560245
[ Info: Iteration 13 (T=0.7000000000000001)
┌ Info: Covariance-weighted error: 1233.3113241386263
│ Covariance trace: 1.5309825159489723
└ Covariance trace ratio (current/previous): 1.3009477786267367
[ Info: Iteration 14 (T=0.7500000000000001)
┌ Info: Covariance-weighted error: 1139.1582496021645
│ Covariance trace: 1.5335830616408934
└ Covariance trace ratio (current/previous): 1.00169861227338
[ Info: Iteration 15 (T=0.8000000000000002)
┌ Info: Covariance-weighted error: 1371.8148827550463
│ Covariance trace: 1.6147492894725453
└ Covariance trace ratio (current/previous): 1.052925876570915
[ Info: Iteration 16 (T=0.8500000000000002)
┌ Info: Covariance-weighted error: 1545.8094622407723
│ Covariance trace: 1.4843907650066317
└ Covariance trace ratio (current/previous): 0.919270114985779
[ Info: Iteration 17 (T=0.9000000000000002)
┌ Info: Covariance-weighted error: 1107.2548218135628
│ Covariance trace: 1.5216180784044597
└ Covariance trace ratio (current/previous): 1.0250791868795153
[ Info: Iteration 18 (T=0.9500000000000003)
┌ Info: Covariance-weighted error: 1200.8388188924205
│ Covariance trace: 1.8619871098879304
└ Covariance trace ratio (current/previous): 1.2236888719410952
[ Info: Iteration 19 (T=1.0000000000000002)
┌ Info: Covariance-weighted error: 1577.669250836298
│ Covariance trace: 1.956400025764371
└ Covariance trace ratio (current/previous): 1.0507054615872842
[ Info: Iteration 20 (T=1.0500000000000003)
┌ Info: Covariance-weighted error: 1303.3800453998492
│ Covariance trace: 2.050615683341178
└ Covariance trace ratio (current/previous): 1.048157665270934
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: 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: 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: 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: 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: 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 0.03880076299999995 seconds. (avg update: 0.00038800762999999954)
[ Info: 100 iterations of ETKI with 100 observations took 0.07261484299999998 seconds. (avg update: 0.0007261484299999998)
[ Info: 100 iterations of ETKI with 1000 observations took 0.36974621500000004 seconds. (avg update: 0.0036974621500000006)
[ Info: 100 iterations of ETKI with 10000 observations took 3.4837035190000005 seconds. (avg update: 0.034837035190000004)
[ 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: 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, 501 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, 6 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, 26 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: 39.18 seconds, 1.063 GiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 156.703 KiB of memory allocated
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[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
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Scheduler: DefaultScheduler
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Scheduler: MutableScheduler
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Completed tests for SparseInversion, 97 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, 2 seconds elapsed
Test Summary:           | Pass  Total      Time
EnsembleKalmanProcesses | 4394   4394  13m17.9s
     Testing EnsembleKalmanProcesses tests passed 

Testing completed after 800.81s

PkgEval succeeded after 951.44s