Package evaluation of EnsembleKalmanProcesses on Julia 1.13.0-DEV.888 (0e1aa6c7eb*) started at 2025-07-23T00:35:03.047


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 10.1s


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# Installation
#

Installing EnsembleKalmanProcesses...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [aa8a2aa5] + EnsembleKalmanProcesses v2.4.2
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [47edcb42] + ADTypes v1.15.0
  [14f7f29c] + AMD v0.5.3
  [621f4979] + AbstractFFTs v1.5.0
  [1520ce14] + AbstractTrees v0.4.5
  [79e6a3ab] + Adapt v4.3.0
  [66dad0bd] + AliasTables v1.1.3
  [7d9fca2a] + Arpack v0.5.4
  [4fba245c] + ArrayInterface v7.19.0
  [13072b0f] + AxisAlgorithms v1.1.0
  [6e4b80f9] + BenchmarkTools v1.6.0
  [d360d2e6] + ChainRulesCore v1.25.2
  [523fee87] + CodecBzip2 v0.8.5
  [944b1d66] + CodecZlib v0.7.8
  [bbf7d656] + CommonSubexpressions v0.3.1
  [34da2185] + Compat v4.17.0
  [187b0558] + ConstructionBase v1.6.0
  [f65535da] + Convex v0.16.4
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.22
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [a0c0ee7d] + DifferentiationInterface v0.7.3
  [31c24e10] + Distributions v0.25.120
  [ffbed154] + DocStringExtensions v0.9.5
  [aa8a2aa5] + EnsembleKalmanProcesses v2.4.2
  [4e289a0a] + EnumX v1.0.5
  [c87230d0] + FFMPEG v0.4.2
  [7a1cc6ca] + FFTW v1.9.0
  [442a2c76] + FastGaussQuadrature v1.0.2
  [1a297f60] + FillArrays v1.13.0
  [6a86dc24] + FiniteDiff v2.27.0
  [f6369f11] + ForwardDiff v1.0.1
  [e4b2fa32] + GaussianRandomFields v2.2.6
  [34004b35] + HypergeometricFunctions v0.3.28
⌅ [a98d9a8b] + Interpolations v0.15.1
  [92d709cd] + IrrationalConstants v0.2.4
  [692b3bcd] + JLLWrappers v1.7.0
  [682c06a0] + JSON v0.21.4
  [0f8b85d8] + JSON3 v1.14.3
  [40e66cde] + LDLFactorizations v0.10.1
  [d3d80556] + LineSearches v7.4.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [1914dd2f] + MacroTools v0.5.16
  [b8f27783] + MathOptInterface v1.42.0
  [e1d29d7a] + Missings v1.2.0
  [d8a4904e] + MutableArithmetics v1.6.4
  [d41bc354] + NLSolversBase v7.10.0
  [77ba4419] + NaNMath v1.1.3
  [6fe1bfb0] + OffsetArrays v1.17.0
  [429524aa] + Optim v1.13.2
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.35
  [d96e819e] + Parameters v0.12.3
  [69de0a69] + Parsers v2.8.3
  [85a6dd25] + PositiveFactorizations v0.2.4
  [aea7be01] + PrecompileTools v1.3.2
  [21216c6a] + Preferences v1.4.3
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
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  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
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  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.1
  [276daf66] + SpecialFunctions v2.5.1
  [90137ffa] + StaticArrays v1.9.14
  [1e83bf80] + StaticArraysCore v1.4.3
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.1
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  [4c63d2b9] + StatsFuns v1.5.0
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        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 5.21s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 950.49s


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# Testing
#

     Testing EnsembleKalmanProcesses
      Status `/tmp/jl_lnDxen/Project.toml`
  [13f3f980] CairoMakie v0.15.4
  [f65535da] Convex v0.16.4
  [31c24e10] Distributions v0.25.120
  [ffbed154] DocStringExtensions v0.9.5
  [aa8a2aa5] EnsembleKalmanProcesses v2.4.2
  [c87230d0] FFMPEG v0.4.2
  [e4b2fa32] GaussianRandomFields v2.2.6
⌅ [a98d9a8b] Interpolations v0.15.1
  [b8f27783] MathOptInterface v1.42.0
  [429524aa] Optim v1.13.2
  [91a5bcdd] Plots v1.40.17
  [1fd47b50] QuadGK v2.11.2
  [3cdcf5f2] RecipesBase v1.3.4
  [c946c3f1] SCS v2.1.0
  [860ef19b] StableRNGs v1.0.3
  [10745b16] Statistics v1.11.1
  [2913bbd2] StatsBase v0.34.5
  [9449cd9e] TSVD v0.4.4
  [37e2e46d] LinearAlgebra v1.13.0
  [9a3f8284] Random v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [fa267f1f] TOML v1.0.3
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_lnDxen/Manifest.toml`
  [47edcb42] ADTypes v1.15.0
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  [fa961155] CEnum v0.5.0
  [96374032] CRlibm v1.0.2
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  [13f3f980] CairoMakie v0.15.4
  [d360d2e6] ChainRulesCore v1.25.2
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  [944b1d66] CodecZlib v0.7.8
  [a2cac450] ColorBrewer v0.4.1
  [35d6a980] ColorSchemes v3.30.0
  [3da002f7] ColorTypes v0.12.1
  [c3611d14] ColorVectorSpace v0.11.0
  [5ae59095] Colors v0.13.1
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.17.0
  [95dc2771] ComputePipeline v0.1.3
  [f0e56b4a] ConcurrentUtilities v2.5.0
  [187b0558] ConstructionBase v1.6.0
  [d38c429a] Contour v0.6.3
  [f65535da] Convex v0.16.4
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.22
  [e2d170a0] DataValueInterfaces v1.0.0
  [927a84f5] DelaunayTriangulation v1.6.4
  [8bb1440f] DelimitedFiles v1.9.1
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.3
  [31c24e10] Distributions v0.25.120
  [ffbed154] DocStringExtensions v0.9.5
  [aa8a2aa5] EnsembleKalmanProcesses v2.4.2
  [4e289a0a] EnumX v1.0.5
  [429591f6] ExactPredicates v2.2.8
  [460bff9d] ExceptionUnwrapping v0.1.11
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  [7a1cc6ca] FFTW v1.9.0
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⌅ [8fc22ac5] FilePaths v0.8.3
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⌅ [a98d9a8b] Interpolations v0.15.1
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  [3783bdb8] TableTraits v1.0.1
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⌅ [68821587] Arpack_jll v3.5.1+1
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        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
Starting tests for DataContainers
Completed tests for DataContainers, 32 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, 146 seconds elapsed
Starting tests for PlotRecipes
Completed tests for PlotRecipes, 0 seconds elapsed
Starting tests for Observations
┌ Warning: Requested truncation to rank 106 for an input matrix of rank 100. Performing (truncated) SVD for rank 100 matrix.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/Observations.jl:149
┌ Warning: SVDplusD requires Diagonal matrix type, converting input X to Diagonal(X)
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/Observations.jl:124
Completed tests for Observations, 110 seconds elapsed
Starting tests for UpdateGroup
┌ Warning: For 4 parameters, the recommended minimum ensemble size (`N_ens`) is 40. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:266
Completed tests for UpdateGroup, 14 seconds elapsed
Starting tests for EnsembleKalmanProcess
┌ Warning: In forward map ensemble g, detected 12 NaNs. 
│ Given nan_tolerance = 0.5 to determine failed members: 
│ - Ensemble members failed:      1 
│ - NaNs in successful members:   8 
│ - row index set for imputation: [1, 3, 4, 5] 
│ - row index entirely NaN:      [3, 4]    
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:1270
[ Info: Imputed 8 NaNs
┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:302
┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:302
┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:302
Accelerator: DefaultAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 4.0412176868651715
Accelerator: ConstantNesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 5.527897531804057
Accelerator: FirstOrderNesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.4720606457131375
Accelerator: NesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.402921733571705
Accelerator: DefaultAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.7941232384823045
Accelerator: ConstantNesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.4700308310634442
Accelerator: FirstOrderNesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.426455870337419
Accelerator: NesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.4682525600586867
Accelerator: DefaultAccelerator Process: Unscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 7.681469088608958
Accelerator: ConstantNesterovAccelerator Process: Unscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 20.488692614847718
Accelerator: FirstOrderNesterovAccelerator Process: Unscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 8.302694893399163
Accelerator: NesterovAccelerator Process: Unscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 8.317708557988915
Accelerator: DefaultAccelerator Process: TransformUnscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 7.681469088608958
Accelerator: ConstantNesterovAccelerator Process: TransformUnscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 20.488692614847313
Accelerator: FirstOrderNesterovAccelerator Process: TransformUnscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 8.302694893399151
Accelerator: NesterovAccelerator Process: TransformUnscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 8.317708557988906
Accelerator: DefaultAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 7.731226570037047
Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.6190999962279324
Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 26.92102752865056
Accelerator: NesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 46.55580861314957
Accelerator: DefaultAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 9.43074475496495
Accelerator: ConstantNesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 5.720734142254379
Accelerator: FirstOrderNesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 16.861051827671535
Accelerator: NesterovAccelerator Process: Inversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 16.692597781502133
Accelerator: DefaultAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 4.5869602142373065
Accelerator: ConstantNesterovAccelerator Process: TransformInversion
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded, returning `true` from `update_ensemble!` and preventing futher updates
│  Set on_terminate="continue" in `DataMisfitController` to ignore termination
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.4322821976085525
Accelerator: FirstOrderNesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.430813141566508
Accelerator: NesterovAccelerator Process: TransformInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 7.5632493762867
Accelerator: DefaultAccelerator Process: Unscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 6.287890653168676
Accelerator: ConstantNesterovAccelerator Process: Unscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 6.459552750174565
Accelerator: FirstOrderNesterovAccelerator Process: Unscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 6.218564609988815
Accelerator: NesterovAccelerator Process: Unscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 6.220957433176812
Accelerator: DefaultAccelerator Process: TransformUnscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 6.287890653168676
Accelerator: ConstantNesterovAccelerator Process: TransformUnscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 6.45955275017454
Accelerator: FirstOrderNesterovAccelerator Process: TransformUnscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 6.218564609988786
Accelerator: NesterovAccelerator Process: TransformUnscented
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 6.220957433176854
Accelerator: DefaultAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 47.53458327680709
Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 41.165499726493586
Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 31.193071158147223
Accelerator: NesterovAccelerator Process: GaussNewtonInversion
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 29.940324771957876
Accelerator: DefaultAccelerator Process: Sampler
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 11.36684212219418
Accelerator: ConstantNesterovAccelerator Process: Sampler
┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:302
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 3.5743414805716913
Accelerator: FirstOrderNesterovAccelerator Process: Sampler
┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:302
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 8.005241756225137
Accelerator: NesterovAccelerator Process: Sampler
┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:302
┌ Info: Convergence:
│   cost_initial = 266.07922397495446
└   cost_final = 5.111259870786033
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: 300.5801831542081
│ Covariance trace: 0.26740519948652
└ Covariance trace ratio (current/previous): 0.5135668016527611
[ Info: Iteration 2 (T=0.1)
┌ Info: Covariance-weighted error: 22.153787706621692
│ Covariance trace: 0.22955509610105088
└ Covariance trace ratio (current/previous): 0.8584541233373544
[ Info: Iteration 3 (T=0.2)
┌ Info: Covariance-weighted error: 25.697288322696608
│ Covariance trace: 0.18532171546736836
└ Covariance trace ratio (current/previous): 0.8073082175696468
[ Info: Iteration 4 (T=0.25)
┌ Info: Covariance-weighted error: 23.683238523399346
│ Covariance trace: 0.10009222040271648
└ Covariance trace ratio (current/previous): 0.5400997942971277
[ Info: Iteration 5 (T=0.3)
┌ Info: Covariance-weighted error: 24.48420572203662
│ Covariance trace: 0.02043776606023312
└ Covariance trace ratio (current/previous): 0.20418935635559587
[ Info: Iteration 6 (T=0.35)
┌ Info: Covariance-weighted error: 5.136502271506253
│ Covariance trace: 0.019919319846744943
└ Covariance trace ratio (current/previous): 0.9746329314094192
[ Info: Iteration 7 (T=0.39999999999999997)
┌ Info: Covariance-weighted error: 5.404418423309846
│ Covariance trace: 0.025480021748739756
└ Covariance trace ratio (current/previous): 1.2791612336554503
[ Info: Iteration 8 (T=0.44999999999999996)
┌ Info: Covariance-weighted error: 6.192480018693318
│ Covariance trace: 0.027428239234733587
└ Covariance trace ratio (current/previous): 1.076460589602526
[ Info: Iteration 9 (T=0.49999999999999994)
┌ Info: Covariance-weighted error: 5.662784067248527
│ Covariance trace: 0.030222982445530962
└ Covariance trace ratio (current/previous): 1.101892913609207
[ Info: Iteration 10 (T=0.5499999999999999)
┌ Info: Covariance-weighted error: 5.393985057715914
│ Covariance trace: 0.03418392119224731
└ Covariance trace ratio (current/previous): 1.1310571765660422
[ Info: Iteration 11 (T=0.6)
┌ Info: Covariance-weighted error: 5.639961909864727
│ Covariance trace: 0.03749633205189329
└ Covariance trace ratio (current/previous): 1.09689967517235
[ Info: Iteration 12 (T=0.65)
┌ Info: Covariance-weighted error: 6.000027170723233
│ Covariance trace: 0.03945159845158962
└ Covariance trace ratio (current/previous): 1.0521455377819442
[ Info: Iteration 13 (T=0.7000000000000001)
┌ Info: Covariance-weighted error: 6.3473106132912855
│ Covariance trace: 0.04131259251455116
└ Covariance trace ratio (current/previous): 1.04717157570295
[ Info: Iteration 14 (T=0.7500000000000001)
┌ Info: Covariance-weighted error: 6.63574008641201
│ Covariance trace: 0.04305884914152905
└ Covariance trace ratio (current/previous): 1.0422693547097732
[ Info: Iteration 15 (T=0.8000000000000002)
┌ Info: Covariance-weighted error: 7.14200997972913
│ Covariance trace: 0.044570193484672366
└ Covariance trace ratio (current/previous): 1.0350995062170778
[ Info: Iteration 16 (T=0.8500000000000002)
┌ Info: Covariance-weighted error: 6.932607356227213
│ Covariance trace: 0.04588269364185782
└ Covariance trace ratio (current/previous): 1.0294479349217278
[ Info: Iteration 17 (T=0.9000000000000002)
┌ Info: Covariance-weighted error: 7.265149555159863
│ Covariance trace: 0.04702712334699901
└ Covariance trace ratio (current/previous): 1.024942513490471
[ Info: Iteration 18 (T=0.9500000000000003)
┌ Info: Covariance-weighted error: 7.421480101888108
│ Covariance trace: 0.04802930847024345
└ Covariance trace ratio (current/previous): 1.0213107894320819
[ Info: Iteration 19 (T=1.0000000000000002)
┌ Info: Covariance-weighted error: 7.731273812559506
│ Covariance trace: 0.04891076626869962
└ Covariance trace ratio (current/previous): 1.0183524982251677
[ Info: Iteration 20 (T=1.0500000000000003)
┌ Info: Covariance-weighted error: 7.563856098942417
│ 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: 305.17142448844834
│ Covariance trace: 0.29046254830257534
└ Covariance trace ratio (current/previous): 0.5578497434534144
[ Info: Iteration 2 (T=0.1)
┌ Info: Covariance-weighted error: 18.578670500870516
│ Covariance trace: 0.18693740725670027
└ Covariance trace ratio (current/previous): 0.643585234479067
[ Info: Iteration 3 (T=0.2)
┌ Info: Covariance-weighted error: 12.21403283321989
│ Covariance trace: 0.10746721488887265
└ Covariance trace ratio (current/previous): 0.574883414004453
[ Info: Iteration 4 (T=0.25)
┌ Info: Covariance-weighted error: 7.8106647967501015
│ Covariance trace: 0.06879876395213319
└ Covariance trace ratio (current/previous): 0.6401837436959273
[ Info: Iteration 5 (T=0.3)
┌ Info: Covariance-weighted error: 5.305009255578976
│ Covariance trace: 0.06716940234998903
└ Covariance trace ratio (current/previous): 0.9763169930890359
[ Info: Iteration 6 (T=0.35)
┌ Info: Covariance-weighted error: 5.341546518677996
│ Covariance trace: 0.06685557245178919
└ Covariance trace ratio (current/previous): 0.9953277848660226
[ Info: Iteration 7 (T=0.39999999999999997)
┌ Info: Covariance-weighted error: 5.064705017169496
│ Covariance trace: 0.0667379002846981
└ Covariance trace ratio (current/previous): 0.9982399048759033
[ Info: Iteration 8 (T=0.44999999999999996)
┌ Info: Covariance-weighted error: 5.011164949361064
│ Covariance trace: 0.06637829289066642
└ Covariance trace ratio (current/previous): 0.9946116465681775
[ Info: Iteration 9 (T=0.49999999999999994)
┌ Info: Covariance-weighted error: 5.274402735603017
│ Covariance trace: 0.06615129357595453
└ Covariance trace ratio (current/previous): 0.9965802176460642
[ Info: Iteration 10 (T=0.5499999999999999)
┌ Info: Covariance-weighted error: 5.125546155982926
│ Covariance trace: 0.0657339472116757
└ Covariance trace ratio (current/previous): 0.9936910324542689
[ Info: Iteration 11 (T=0.6)
┌ Info: Covariance-weighted error: 5.319382822464503
│ Covariance trace: 0.06541000948189347
└ Covariance trace ratio (current/previous): 0.9950719872528103
[ Info: Iteration 12 (T=0.65)
┌ Info: Covariance-weighted error: 5.195801880691539
│ Covariance trace: 0.06509296685591011
└ Covariance trace ratio (current/previous): 0.9951529952602877
[ Info: Iteration 13 (T=0.7000000000000001)
┌ Info: Covariance-weighted error: 5.118165778651509
│ Covariance trace: 0.06463490493444676
└ Covariance trace ratio (current/previous): 0.9929629583104221
[ Info: Iteration 14 (T=0.7500000000000001)
┌ Info: Covariance-weighted error: 5.107839034556561
│ Covariance trace: 0.0643623415601631
└ Covariance trace ratio (current/previous): 0.9957830312497543
[ Info: Iteration 15 (T=0.8000000000000002)
┌ Info: Covariance-weighted error: 5.060581242576646
│ Covariance trace: 0.06422610041237098
└ Covariance trace ratio (current/previous): 0.9978832164198879
[ Info: Iteration 16 (T=0.8500000000000002)
┌ Info: Covariance-weighted error: 5.04115710430216
│ Covariance trace: 0.06396254602651599
└ Covariance trace ratio (current/previous): 0.9958964597856198
[ Info: Iteration 17 (T=0.9000000000000002)
┌ Info: Covariance-weighted error: 5.192023811381851
│ Covariance trace: 0.06357146920963859
└ Covariance trace ratio (current/previous): 0.9938858466216264
[ Info: Iteration 18 (T=0.9500000000000003)
┌ Info: Covariance-weighted error: 5.0771498801998
│ Covariance trace: 0.0632037223487277
└ Covariance trace ratio (current/previous): 0.9942152216161911
[ Info: Iteration 19 (T=1.0000000000000002)
┌ Info: Covariance-weighted error: 4.9822672634831555
│ Covariance trace: 0.06294993367337759
└ Covariance trace ratio (current/previous): 0.9959845929018257
[ Info: Iteration 20 (T=1.0500000000000003)
┌ Info: Covariance-weighted error: 5.003133881394936
│ 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: 150.40223440080263
│ Covariance trace: 0.47156833452177815
└ Covariance trace ratio (current/previous): 0.9056736435421386
[ Info: Iteration 2 (T=0.1)
┌ Info: Covariance-weighted error: 132.27937773929239
│ Covariance trace: 0.4584745428691135
└ Covariance trace ratio (current/previous): 0.9722335222827394
[ Info: Iteration 3 (T=0.2)
┌ Info: Covariance-weighted error: 108.80958832297816
│ Covariance trace: 0.399149394356793
└ Covariance trace ratio (current/previous): 0.8706031786605504
[ Info: Iteration 4 (T=0.25)
┌ Info: Covariance-weighted error: 70.13100501262197
│ Covariance trace: 0.35882826164480197
└ Covariance trace ratio (current/previous): 0.898982352768025
[ Info: Iteration 5 (T=0.3)
┌ Info: Covariance-weighted error: 52.23773999298115
│ Covariance trace: 0.3190013504601441
└ Covariance trace ratio (current/previous): 0.8890084326075691
[ Info: Iteration 6 (T=0.35)
┌ Info: Covariance-weighted error: 33.593297112337645
│ Covariance trace: 0.3879614052555974
└ Covariance trace ratio (current/previous): 1.216174805203745
[ Info: Iteration 7 (T=0.39999999999999997)
┌ Info: Covariance-weighted error: 20.323522960957277
│ Covariance trace: 0.6224136349983114
└ Covariance trace ratio (current/previous): 1.6043184362327272
[ Info: Iteration 8 (T=0.44999999999999996)
┌ Info: Covariance-weighted error: 25.46552286998466
│ Covariance trace: 0.7414586584146108
└ Covariance trace ratio (current/previous): 1.1912635211094345
[ Info: Iteration 9 (T=0.49999999999999994)
┌ Info: Covariance-weighted error: 30.152974720950894
│ Covariance trace: 0.9031709282557234
└ Covariance trace ratio (current/previous): 1.218100184016849
[ Info: Iteration 10 (T=0.5499999999999999)
┌ Info: Covariance-weighted error: 30.849519467794615
│ Covariance trace: 0.8768062379411656
└ Covariance trace ratio (current/previous): 0.9708087478352792
[ Info: Iteration 11 (T=0.6)
┌ Info: Covariance-weighted error: 32.31936270086364
│ Covariance trace: 0.701860155948223
└ Covariance trace ratio (current/previous): 0.8004734975383676
[ Info: Iteration 12 (T=0.65)
┌ Info: Covariance-weighted error: 27.000583486778343
│ Covariance trace: 0.5921068176222902
└ Covariance trace ratio (current/previous): 0.8436250620643161
[ Info: Iteration 13 (T=0.7000000000000001)
┌ Info: Covariance-weighted error: 24.88153144760862
│ Covariance trace: 0.45641504433049185
└ Covariance trace ratio (current/previous): 0.7708322734119281
[ Info: Iteration 14 (T=0.7500000000000001)
┌ Info: Covariance-weighted error: 21.236480877216522
│ Covariance trace: 0.34655896461094726
└ Covariance trace ratio (current/previous): 0.7593066199632162
[ Info: Iteration 15 (T=0.8000000000000002)
┌ Info: Covariance-weighted error: 18.86491011099144
│ Covariance trace: 0.3701503201777405
└ Covariance trace ratio (current/previous): 1.0680731361062246
[ Info: Iteration 16 (T=0.8500000000000002)
┌ Info: Covariance-weighted error: 17.466203312650777
│ Covariance trace: 0.6068490813075228
└ Covariance trace ratio (current/previous): 1.6394665848623964
[ Info: Iteration 17 (T=0.9000000000000002)
┌ Info: Covariance-weighted error: 31.082298366097458
│ Covariance trace: 0.6940922342076752
└ Covariance trace ratio (current/previous): 1.143764167381085
[ Info: Iteration 18 (T=0.9500000000000003)
┌ Info: Covariance-weighted error: 29.32061418589663
│ Covariance trace: 0.8202524727991228
└ Covariance trace ratio (current/previous): 1.1817629305930255
[ Info: Iteration 19 (T=1.0000000000000002)
┌ Info: Covariance-weighted error: 56.9469064653502
│ Covariance trace: 1.001118513547993
└ Covariance trace ratio (current/previous): 1.2205004516861282
[ Info: Iteration 20 (T=1.0500000000000003)
┌ Info: Covariance-weighted error: 68.75899755661474
│ Covariance trace: 1.2594267942891526
└ Covariance trace ratio (current/previous): 1.2580196822309355
Scheduler: MutableScheduler
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
Scheduler: DefaultScheduler
Scheduler: MutableScheduler
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
Scheduler: DefaultScheduler
Scheduler: MutableScheduler
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
Scheduler: DataMisfitController
[ Info: Cannot override DataMisfitController-type timestep selection, ignoring Δt_new = 0.1
[ Info: No error with flag deterministic_forward_map = false
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
[ Info: Imputed 10 NaNs
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Imputed 9 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 9 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 6 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 6 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: Imputed 6 NaNs
[ Info: 3 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 6 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 9 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 9 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Imputed 6 NaNs
[ Info: 3 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 6 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Imputed 7 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 7 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 7 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 7 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Imputed 7 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 7 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 10 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Imputed 9 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 9 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 9 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 9 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Imputed 8 NaNs
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: `impose_prior=true` but `prior_mean=nothing`, taking initial mean as prior mean.
[ Info: `impose_prior=true` but `prior_cov=nothing`, taking initial covariance as prior covariance
[ Info: `impose_prior=true` but `prior_mean=nothing`, taking initial mean as prior mean.
[ Info: `impose_prior=true` but `prior_cov=nothing`, taking initial covariance as prior covariance
 
[ Info: testing Unscented on problem 1
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
 
[ Info: testing TransformUnscented on problem 1
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
 
[ Info: testing Unscented on problem 2
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
 
[ Info: testing TransformUnscented on problem 2
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
 
[ Info: testing Unscented on problem 3
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
 
[ Info: testing TransformUnscented on problem 3
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
 
[ Info: testing Unscented on problem 4
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
 
[ Info: testing TransformUnscented on problem 4
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
 
[ Info: testing Unscented on problem 5
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
 
[ Info: testing TransformUnscented on problem 5
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
 
[ Info: testing Unscented on problem 6
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
 
[ Info: testing TransformUnscented on problem 6
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. 
│ on_terminate="continue" selected. Proceeding with algorithm
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/LearningRateSchedulers.jl:298
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
┌ Info: 10 iterations of experiment etki with 10-dim observation took 0.007876523000000002 seconds. 
└  (avg update: 0.0007876523000000001)
┌ Info: 10 iterations of experiment etki-inf with 10-dim observation took 0.008869415999999998 seconds. 
└  (avg update: 0.0008869415999999998)
┌ Info: 10 iterations of experiment etki-svd with 10-dim observation took 4.660924926000001 seconds. 
└  (avg update: 0.4660924926000001)
┌ Info: 10 iterations of experiment etki-svdT with 10-dim observation took 0.48791658100000007 seconds. 
└  (avg update: 0.04879165810000001)
┌ Info: 10 iterations of experiment utki with 10-dim observation took 0.0031882869999999997 seconds. 
└  (avg update: 0.00031882869999999997)
┌ Info: 10 iterations of experiment utki-svdplusdiag with 10-dim observation took 3.008901716 seconds. 
└  (avg update: 0.3008901716)
┌ Info: 10 iterations of experiment etki with 100-dim observation took 0.021813438999999997 seconds. 
└  (avg update: 0.0021813438999999995)
┌ Info: 10 iterations of experiment etki-inf with 100-dim observation took 0.075608651 seconds. 
└  (avg update: 0.0075608650999999995)
┌ Info: 10 iterations of experiment etki-svd with 100-dim observation took 0.021832837999999997 seconds. 
└  (avg update: 0.0021832837999999997)
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 9 iterations of experiment etki-svdT with 100-dim observation took 0.052572843999999994 seconds. 
└  (avg update: 0.0058414271111111105)
┌ Info: 9 iterations of experiment utki with 100-dim observation took 0.003553295 seconds. 
└  (avg update: 0.00039481055555555555)
┌ Info: 9 iterations of experiment utki-svdplusdiag with 100-dim observation took 0.0037207290000000007 seconds. 
└  (avg update: 0.0004134143333333334)
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Info: 10 iterations of experiment etki with 1000-dim observation took 0.12353361400000001 seconds. 
└  (avg update: 0.012353361400000002)
┌ Info: 10 iterations of experiment etki-inf with 1000-dim observation took 0.11915795199999998 seconds. 
└  (avg update: 0.011915795199999999)
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 7 iterations of experiment etki-svd with 1000-dim observation took 0.08036415599999999 seconds. 
└  (avg update: 0.011480593714285713)
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 6 iterations of experiment etki-svdT with 1000-dim observation took 0.076048877 seconds. 
└  (avg update: 0.012674812833333333)
┌ Info: 6 iterations of experiment utki with 1000-dim observation took 0.016646551000000002 seconds. 
└  (avg update: 0.002774425166666667)
┌ Info: 6 iterations of experiment utki-svdplusdiag with 1000-dim observation took 0.030530634 seconds. 
└  (avg update: 0.005088439)
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 7 iterations of experiment etki with 10000-dim observation took 2.158476664 seconds. 
└  (avg update: 0.30835380914285715)
┌ Error: The update of experiment etki for 10000 observations should take under 0.04 per update, received 0.30835380914285715. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration.
┌ Info: 7 iterations of experiment etki-inf with 10000-dim observation took 1.043846688 seconds. 
└  (avg update: 0.14912095542857143)
┌ Error: The update of experiment etki-inf for 10000 observations should take under 0.04 per update, received 0.14912095542857143. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 4 iterations of experiment etki-svd with 10000-dim observation took 0.449465732 seconds. 
└  (avg update: 0.112366433)
┌ Error: The update of experiment etki-svd for 10000 observations should take under 0.04 per update, received 0.112366433. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 4 iterations of experiment etki-svdT with 10000-dim observation took 1.8769892940000001 seconds. 
└  (avg update: 0.46924732350000004)
┌ Error: The update of experiment etki-svdT for 10000 observations should take under 0.04 per update, received 0.46924732350000004. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
┌ Info: 4 iterations of experiment utki with 10000-dim observation took 0.134024667 seconds. 
└  (avg update: 0.03350616675)
┌ Info: 4 iterations of experiment utki-svdplusdiag with 10000-dim observation took 0.157644014 seconds. 
└  (avg update: 0.0394110035)
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 6 iterations of experiment etki with 100000-dim observation took 11.442690504 seconds. 
└  (avg update: 1.907115084)
┌ Error: The update of experiment etki for 100000 observations should take under 0.39999999999999997 per update, received 1.907115084. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 8 iterations of experiment etki-inf with 100000-dim observation took 13.711964158 seconds. 
└  (avg update: 1.71399551975)
┌ Error: The update of experiment etki-inf for 100000 observations should take under 0.39999999999999997 per update, received 1.71399551975. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 3 iterations of experiment etki-svd with 100000-dim observation took 4.763299937 seconds. 
└  (avg update: 1.5877666456666668)
┌ Error: The update of experiment etki-svd for 100000 observations should take under 0.39999999999999997 per update, received 1.5877666456666668. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 3 iterations of experiment etki-svdT with 100000-dim observation took 4.472524468 seconds. 
└  (avg update: 1.4908414893333333)
┌ Error: The update of experiment etki-svdT for 100000 observations should take under 0.39999999999999997 per update, received 1.4908414893333333. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
┌ Info: 3 iterations of experiment utki with 100000-dim observation took 2.297671052 seconds. 
└  (avg update: 0.7658903506666667)
┌ Error: The update of experiment utki for 100000 observations should take under 0.39999999999999997 per update, received 0.7658903506666667. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
┌ Info: 3 iterations of experiment utki-svdplusdiag with 100000-dim observation took 1.7446112589999998 seconds. 
└  (avg update: 0.5815370863333332)
┌ Error: The update of experiment utki-svdplusdiag for 100000 observations should take under 0.39999999999999997 per update, received 0.5815370863333332. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 6 iterations of experiment etki with 1000000-dim observation took 152.46495198600002 seconds. 
└  (avg update: 25.410825331)
┌ Error: The update of experiment etki for 1000000 observations should take under 4.0 per update, received 25.410825331. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 9 iterations of experiment etki-inf with 1000000-dim observation took 236.820832013 seconds. 
└  (avg update: 26.31342577922222)
┌ Error: The update of experiment etki-inf for 1000000 observations should take under 4.0 per update, received 26.31342577922222. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 2 iterations of experiment etki-svd with 1000000-dim observation took 47.427557459 seconds. 
└  (avg update: 23.7137787295)
┌ Error: The update of experiment etki-svd for 1000000 observations should take under 4.0 per update, received 23.7137787295. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
┌ Info: 2 iterations of experiment etki-svdT with 1000000-dim observation took 47.847022777999996 seconds. 
└  (avg update: 23.923511388999998)
┌ Error: The update of experiment etki-svdT for 1000000 observations should take under 4.0 per update, received 23.923511388999998. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
┌ Info: 2 iterations of experiment utki with 1000000-dim observation took 17.725250437 seconds. 
└  (avg update: 8.8626252185)
┌ Error: The update of experiment utki for 1000000 observations should take under 4.0 per update, received 8.8626252185. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
┌ Info: 2 iterations of experiment utki-svdplusdiag with 1000000-dim observation took 25.536397674 seconds. 
└  (avg update: 12.768198837)
┌ Error: The update of experiment utki-svdplusdiag for 1000000 observations should take under 4.0 per update, received 12.768198837. Significant slowdowns encountered in ETKI
└ @ Main ~/.julia/packages/EnsembleKalmanProcesses/71YBa/test/EnsembleKalmanProcess/runtests.jl:1339
[ 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/71YBa/src/LearningRateSchedulers.jl:293
[ Info: No error with flag deterministic_forward_map = false
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: No error with flag deterministic_forward_map = false
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
Completed tests for EnsembleKalmanProcess, 1193 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/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:264
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 5`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 10`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:264
┌ Warning: For 50 parameters, the recommended minimum ensemble size (`N_ens`) is 100. Got `N_ens` = 5`.
└ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/71YBa/src/EnsembleKalmanProcess.jl:269
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/71YBa/src/EnsembleKalmanProcess.jl:269
Completed tests for TOMLInterface, 35 seconds elapsed
Starting tests for SparseInversion
WARNING: Method definition G_linear(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/test/EnsembleKalmanProcess/inverse_problem.jl:209 overwritten on the same line (check for duplicate calls to `include`).
[ Info: [Convex.jl] Compilation finished: 55.68 seconds, 1.070 GiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.03 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.02 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
[ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss.
[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
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Scheduler: DefaultScheduler
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[ Info: [Convex.jl] Compilation finished: 0.01 seconds, 149.297 KiB of memory allocated
Scheduler: MutableScheduler
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Completed tests for SparseInversion, 149 seconds elapsed
Starting tests for Inflation
WARNING: Method definition G_linear(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/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/71YBa/test/EnsembleKalmanProcess/inverse_problem.jl:209 overwritten on the same line (check for duplicate calls to `include`).
Completed tests for Inflation, 4 seconds elapsed
Starting tests for Visualize
Completed tests for Visualize, 0 seconds elapsed
Test Summary:           | Pass  Total      Time
EnsembleKalmanProcesses | 5434   5434  28m10.0s
     Testing EnsembleKalmanProcesses tests passed 

Testing completed after 1699.27s

PkgEval terminated after 2704.42s: test duration exceeded the time limit