Package evaluation to test EnsembleKalmanProcesses on Julia 1.12.4 (01a2eadb04*) started at 2026-01-09T12:36:17.395 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.94s ################################################################################ # Installation # Installing EnsembleKalmanProcesses... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [aa8a2aa5] + EnsembleKalmanProcesses v2.6.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [14f7f29c] + AMD v0.5.3 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [7d9fca2a] + Arpack v0.5.4 [4fba245c] + ArrayInterface v7.22.0 [13072b0f] + AxisAlgorithms v1.1.0 [6e4b80f9] + BenchmarkTools v1.6.3 [d360d2e6] + ChainRulesCore v1.26.0 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [187b0558] + ConstructionBase v1.6.0 [f65535da] + Convex v0.16.4 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.13 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [aa8a2aa5] + EnsembleKalmanProcesses v2.6.0 [4e289a0a] + EnumX v1.0.5 [c87230d0] + FFMPEG v0.4.5 [7a1cc6ca] + FFTW v1.10.0 [442a2c76] + FastGaussQuadrature v1.1.0 [1a297f60] + FillArrays v1.15.0 [6a86dc24] + FiniteDiff v2.29.0 [f6369f11] + ForwardDiff v1.3.1 [e4b2fa32] + GaussianRandomFields v2.2.7 [34004b35] + HypergeometricFunctions v0.3.28 ⌅ [a98d9a8b] + Interpolations v0.15.1 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.3.0 [0f8b85d8] + JSON3 v1.14.3 [40e66cde] + LDLFactorizations v0.10.1 ⌃ [d3d80556] + LineSearches v7.5.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.48.0 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.7 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [6fe1bfb0] + OffsetArrays v1.17.0 [429524aa] + Optim v1.13.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [69de0a69] + Parsers v2.8.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [c946c3f1] + SCS v2.5.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.9 [4c63d2b9] + StatsFuns v1.5.2 [856f2bd8] + StructTypes v1.11.0 [ec057cc2] + StructUtils v2.6.1 [9449cd9e] + TSVD v0.4.4 [3bb67fe8] + TranscodingStreams v0.11.3 [efce3f68] + WoodburyMatrices v1.0.0 ⌅ [68821587] + Arpack_jll v3.5.2+0 [6e34b625] + Bzip2_jll v1.0.9+0 [83423d85] + Cairo_jll v1.18.5+0 [2e619515] + Expat_jll v2.7.3+0 [b22a6f82] + FFMPEG_jll v8.0.1+0 [f5851436] + FFTW_jll v3.3.11+0 [a3f928ae] + Fontconfig_jll v2.17.1+0 [d7e528f0] + FreeType2_jll v2.13.4+0 [559328eb] + FriBidi_jll v1.0.17+0 [b0724c58] + GettextRuntime_jll v0.22.4+0 [7746bdde] + Glib_jll v2.86.2+0 [3b182d85] + Graphite2_jll v1.3.15+0 [2e76f6c2] + HarfBuzz_jll v8.5.1+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [c1c5ebd0] + LAME_jll v3.100.3+0 [1d63c593] + LLVMOpenMP_jll v18.1.8+0 [dd4b983a] + LZO_jll v2.10.3+0 ⌅ [e9f186c6] + Libffi_jll v3.4.7+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [4b2f31a3] + Libmount_jll v2.41.2+0 [38a345b3] + Libuuid_jll v2.41.2+0 [856f044c] + MKL_jll v2025.2.0+0 [e7412a2a] + Ogg_jll v1.3.6+0 [656ef2d0] + OpenBLAS32_jll v0.3.29+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [91d4177d] + Opus_jll v1.6.0+0 ⌅ [30392449] + Pixman_jll v0.44.2+0 [f50d1b31] + Rmath_jll v0.5.1+0 [f4f2fc5b] + SCS_jll v300.200.1000+0 [4f6342f7] + Xorg_libX11_jll v1.8.12+0 [0c0b7dd1] + Xorg_libXau_jll v1.0.13+0 [a3789734] + Xorg_libXdmcp_jll v1.1.6+0 [1082639a] + Xorg_libXext_jll v1.3.7+0 [ea2f1a96] + Xorg_libXrender_jll v0.9.12+0 [c7cfdc94] + Xorg_libxcb_jll v1.17.1+0 [c5fb5394] + Xorg_xtrans_jll v1.6.0+0 [a4ae2306] + libaom_jll v3.13.1+0 [0ac62f75] + libass_jll v0.17.4+0 [f638f0a6] + libfdk_aac_jll v2.0.4+0 [b53b4c65] + libpng_jll v1.6.53+0 [f27f6e37] + libvorbis_jll v1.3.8+0 [1317d2d5] + oneTBB_jll v2022.0.0+1 ⌅ [1270edf5] + x264_jll v10164.0.1+0 [dfaa095f] + x265_jll v4.1.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.12.1 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+0 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.44.0+1 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 6.09s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:306 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:317 │ [9] _start() │ @ Base ./client.jl:550 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 10075.2 ms ✓ GaussianRandomFields 253851.9 ms ✓ EnsembleKalmanProcesses 2 dependencies successfully precompiled in 271 seconds. 195 already precompiled. Precompilation completed after 282.32s ################################################################################ # Testing # Testing EnsembleKalmanProcesses Test Could not use exact versions of packages in manifest. Re-resolving dependencies Updating `/tmp/jl_Bu4NTp/Project.toml` ⌃ [13f3f980] + CairoMakie v0.14.0 [aa8a2aa5] + EnsembleKalmanProcesses v2.6.0 [91a5bcdd] + Plots v1.41.4 [860ef19b] + StableRNGs v1.0.4 Updating `/tmp/jl_Bu4NTp/Manifest.toml` [35492f91] + AdaptivePredicates v1.2.0 [27a7e980] + Animations v0.4.2 [67c07d97] + Automa v1.1.0 [39de3d68] + AxisArrays v0.4.8 [18cc8868] + BaseDirs v1.3.2 [d1d4a3ce] + BitFlags v0.1.9 [fa961155] + CEnum v0.5.0 [96374032] + CRlibm v1.0.2 [159f3aea] + Cairo v1.1.1 ⌃ [13f3f980] + CairoMakie v0.14.0 [a2cac450] + ColorBrewer v0.4.2 [35d6a980] + ColorSchemes v3.31.0 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.1 [f0e56b4a] + ConcurrentUtilities v2.5.0 [d38c429a] + Contour v0.6.3 [e2d170a0] + DataValueInterfaces v1.0.0 [927a84f5] + DelaunayTriangulation v1.6.6 [8bb1440f] + DelimitedFiles v1.9.1 [aa8a2aa5] + EnsembleKalmanProcesses v2.6.0 [429591f6] + ExactPredicates v2.2.9 [460bff9d] + ExceptionUnwrapping v0.1.11 [411431e0] + Extents v0.1.6 [5789e2e9] + FileIO v1.17.1 ⌅ [8fc22ac5] + FilePaths v0.8.3 [48062228] + FilePathsBase v0.9.24 [53c48c17] + FixedPointNumbers v0.8.5 [1fa38f19] + Format v1.3.7 [b38be410] + FreeType v4.1.1 [663a7486] + FreeTypeAbstraction v0.10.8 [28b8d3ca] + GR v0.73.19 [5c1252a2] + GeometryBasics v0.5.10 [a2bd30eb] + Graphics v1.1.3 [3955a311] + GridLayoutBase v0.11.2 [42e2da0e] + Grisu v1.0.2 [cd3eb016] + HTTP v1.10.19 [2803e5a7] + ImageAxes v0.6.12 [c817782e] + ImageBase v0.1.7 [a09fc81d] + ImageCore v0.10.5 [82e4d734] + ImageIO v0.6.9 [bc367c6b] + ImageMetadata v0.9.10 [9b13fd28] + IndirectArrays v1.0.0 [d25df0c9] + Inflate v0.1.5 [d1acc4aa] + IntervalArithmetic v1.0.2 [8197267c] + IntervalSets v0.7.13 [3587e190] + InverseFunctions v0.1.17 [f1662d9f] + Isoband v0.1.1 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [1019f520] + JLFzf v0.1.11 [b835a17e] + JpegTurbo v0.1.6 [5ab0869b] + KernelDensity v0.6.10 [b964fa9f] + LaTeXStrings v1.4.0 [23fbe1c1] + Latexify v0.16.10 [8cdb02fc] + LazyModules v0.3.1 [e6f89c97] + LoggingExtras v1.2.0 ⌅ [ee78f7c6] + Makie v0.23.0 [20f20a25] + MakieCore v0.10.0 [dbb5928d] + MappedArrays v0.4.3 [0a4f8689] + MathTeXEngine v0.6.7 [739be429] + MbedTLS v1.1.9 [442fdcdd] + Measures v0.3.3 [e94cdb99] + MosaicViews v0.3.4 [f09324ee] + Netpbm v1.1.1 [510215fc] + Observables v0.5.5 [52e1d378] + OpenEXR v0.3.3 [4d8831e6] + OpenSSL v1.6.1 [f57f5aa1] + PNGFiles v0.4.4 [19eb6ba3] + Packing v0.5.1 [5432bcbf] + PaddedViews v0.5.12 [eebad327] + PkgVersion v0.3.3 [ccf2f8ad] + PlotThemes v3.3.0 [995b91a9] + PlotUtils v1.4.4 [91a5bcdd] + Plots v1.41.4 [647866c9] + PolygonOps v0.1.2 [92933f4c] + ProgressMeter v1.11.0 [4b34888f] + QOI v1.0.2 [b3c3ace0] + RangeArrays v0.3.2 [01d81517] + RecipesPipeline v0.6.12 [05181044] + RelocatableFolders v1.0.1 [5eaf0fd0] + RoundingEmulator v0.2.1 [fdea26ae] + SIMD v3.7.2 [6c6a2e73] + Scratch v1.3.0 [65257c39] + ShaderAbstractions v0.5.0 [992d4aef] + Showoff v1.0.3 [73760f76] + SignedDistanceFields v0.4.1 [777ac1f9] + SimpleBufferStream v1.2.0 [699a6c99] + SimpleTraits v0.9.5 [45858cf5] + Sixel v0.1.5 [860ef19b] + StableRNGs v1.0.4 [cae243ae] + StackViews v0.1.2 [09ab397b] + StructArrays v0.7.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [62fd8b95] + TensorCore v0.1.1 [731e570b] + TiffImages v0.11.6 [981d1d27] + TriplotBase v0.1.0 [5c2747f8] + URIs v1.6.1 [1cfade01] + UnicodeFun v0.4.1 [1986cc42] + Unitful v1.27.0 [41fe7b60] + Unzip v0.2.0 [e3aaa7dc] + WebP v0.1.3 [4e9b3aee] + CRlibm_jll v1.0.1+0 [ee1fde0b] + Dbus_jll v1.16.2+0 [5ae413db] + EarCut_jll v2.2.4+0 [2702e6a9] + EpollShim_jll v0.0.20230411+1 ⌅ [b22a6f82] ↓ FFMPEG_jll v8.0.1+0 ⇒ v6.1.3+0 [0656b61e] + GLFW_jll v3.4.1+0 [d2c73de3] + GR_jll v0.73.19+1 [61579ee1] + Ghostscript_jll v9.55.1+0 [59f7168a] + Giflib_jll v5.2.3+0 [905a6f67] + Imath_jll v3.2.2+0 [aacddb02] + JpegTurbo_jll v3.1.4+0 [88015f11] + LERC_jll v4.0.1+0 [7e76a0d4] + Libglvnd_jll v1.7.1+1 [89763e89] + Libtiff_jll v4.7.2+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [6cdc7f73] + OpenBLASConsistentFPCSR_jll v0.3.29+0 [18a262bb] + OpenEXR_jll v3.4.4+0 [36c8627f] + Pango_jll v1.57.0+0 [c0090381] + Qt6Base_jll v6.8.2+2 [629bc702] + Qt6Declarative_jll v6.8.2+1 [ce943373] + Qt6ShaderTools_jll v6.8.2+1 [e99dba38] + Qt6Wayland_jll v6.8.2+2 [a44049a8] + Vulkan_Loader_jll v1.3.243+0 [a2964d1f] + Wayland_jll v1.24.0+0 [ffd25f8a] + XZ_jll v5.8.2+0 [f67eecfb] + Xorg_libICE_jll v1.1.2+0 [c834827a] + Xorg_libSM_jll v1.2.6+0 [935fb764] + Xorg_libXcursor_jll v1.2.4+0 [d091e8ba] + Xorg_libXfixes_jll v6.0.2+0 [a51aa0fd] + Xorg_libXi_jll v1.8.3+0 [d1454406] + Xorg_libXinerama_jll v1.1.6+0 [ec84b674] + Xorg_libXrandr_jll v1.5.5+0 [cc61e674] + Xorg_libxkbfile_jll v1.1.3+0 [e920d4aa] + Xorg_xcb_util_cursor_jll v0.1.6+0 [12413925] + Xorg_xcb_util_image_jll v0.4.1+0 [2def613f] + Xorg_xcb_util_jll v0.4.1+0 [975044d2] + Xorg_xcb_util_keysyms_jll v0.4.1+0 [0d47668e] + Xorg_xcb_util_renderutil_jll v0.3.10+0 [c22f9ab0] + Xorg_xcb_util_wm_jll v0.4.2+0 [35661453] + Xorg_xkbcomp_jll v1.4.7+0 [33bec58e] + Xorg_xkeyboard_config_jll v2.44.0+0 [3161d3a3] + Zstd_jll v1.5.7+1 [35ca27e7] + eudev_jll v3.2.14+0 [214eeab7] + fzf_jll v0.61.1+0 [9a68df92] + isoband_jll v0.2.3+0 [1183f4f0] + libdecor_jll v0.2.2+0 [2db6ffa8] + libevdev_jll v1.13.4+0 [36db933b] + libinput_jll v1.28.1+0 [075b6546] + libsixel_jll v1.10.5+0 [c5f90fcd] + libwebp_jll v1.6.0+0 [009596ad] + mtdev_jll v1.1.7+0 [d8fb68d0] + xkbcommon_jll v1.13.0+0 [8bf52ea8] + CRC32c v1.11.0 [3fa0cd96] + REPL v1.11.0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_Bu4NTp/Project.toml` ⌃ [13f3f980] CairoMakie v0.14.0 [f65535da] Convex v0.16.4 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [aa8a2aa5] EnsembleKalmanProcesses v2.6.0 [c87230d0] FFMPEG v0.4.5 [e4b2fa32] GaussianRandomFields v2.2.7 ⌅ [a98d9a8b] Interpolations v0.15.1 [b8f27783] MathOptInterface v1.48.0 [429524aa] Optim v1.13.3 [91a5bcdd] Plots v1.41.4 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [c946c3f1] SCS v2.5.0 [860ef19b] StableRNGs v1.0.4 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.9 [9449cd9e] TSVD v0.4.4 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 Status `/tmp/jl_Bu4NTp/Manifest.toml` [47edcb42] ADTypes v1.21.0 [14f7f29c] AMD v0.5.3 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [79e6a3ab] Adapt v4.4.0 [35492f91] AdaptivePredicates 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v1.6.0+0 [3161d3a3] Zstd_jll v1.5.7+1 [35ca27e7] eudev_jll v3.2.14+0 [214eeab7] fzf_jll v0.61.1+0 [9a68df92] isoband_jll v0.2.3+0 [a4ae2306] libaom_jll v3.13.1+0 [0ac62f75] libass_jll v0.17.4+0 [1183f4f0] libdecor_jll v0.2.2+0 [2db6ffa8] libevdev_jll v1.13.4+0 [f638f0a6] libfdk_aac_jll v2.0.4+0 [36db933b] libinput_jll v1.28.1+0 [b53b4c65] libpng_jll v1.6.53+0 [075b6546] libsixel_jll v1.10.5+0 [f27f6e37] libvorbis_jll v1.3.8+0 [c5f90fcd] libwebp_jll v1.6.0+0 [009596ad] mtdev_jll v1.1.7+0 [1317d2d5] oneTBB_jll v2022.0.0+1 ⌅ [1270edf5] x264_jll v10164.0.1+0 [dfaa095f] x265_jll v4.1.0+0 [d8fb68d0] xkbcommon_jll v1.13.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [8bf52ea8] CRC32c v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.12.1 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+0 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.44.0+1 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Starting tests for DataContainers ┌ Warning: input to DataContainer is vector and has ambiguous shape, continuing with interpretation as a matrix of size (1,5). │ use `reshape(data, 1, :)` (n samples of 1d data) or `reshape(data, :, 1)` (1 sample of n-d data) to set preferred orientation directly. └ @ EnsembleKalmanProcesses.DataContainers ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/DataContainers.jl:32 ┌ Warning: input to DataContainer is vector and has ambiguous shape, continuing with interpretation as a matrix of size (1,5). │ use `reshape(data, 1, :)` (n samples of 1d data) or `reshape(data, :, 1)` (1 sample of n-d data) to set preferred orientation directly. └ @ EnsembleKalmanProcesses.DataContainers ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/DataContainers.jl:32 ┌ Warning: inputs and outputs provided to PairedDataContainer have different types (Int64, Float64), Storing both in mutual type: Float64. └ @ EnsembleKalmanProcesses.DataContainers ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/DataContainers.jl:125 ┌ Warning: input to DataContainer is vector and has ambiguous shape, continuing with interpretation as a matrix of size (1,5). │ use `reshape(inputs, 1, :)` (n samples of 1d inputs) or `reshape(inputs, :, 1)` (1 sample of n-d inputs) to set preferred orientation directly. └ @ EnsembleKalmanProcesses.DataContainers ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/DataContainers.jl:80 ┌ Warning: input to DataContainer is vector and has ambiguous shape, continuing with interpretation as a matrix of size (1,5). │ use `reshape(outputs, 1, :)` (n samples of 1d outputs) or `reshape(outputs, :, 1)` (1 sample of n-d outputs) to set preferred orientation directly. └ @ EnsembleKalmanProcesses.DataContainers ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/DataContainers.jl:86 ┌ Warning: inputs and outputs provided to PairedDataContainer have different types (Int64, Float64), Storing both in mutual type: Float64. └ @ EnsembleKalmanProcesses.DataContainers ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/DataContainers.jl:103 Completed tests for DataContainers, 24 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, 144 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/MwCAA/src/Observations.jl:150 ┌ Warning: SVDplusD requires Diagonal matrix type, converting input X to Diagonal(X) └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/Observations.jl:124 Completed tests for Observations, 116 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/MwCAA/src/EnsembleKalmanProcess.jl:266 Completed tests for UpdateGroup, 15 seconds elapsed Starting tests for EnsembleKalmanProcess Precompiling packages... 9445.0 ms ✓ RecipesPipeline 1361.6 ms ✓ FFMPEG 2194.3 ms ✓ GR_jll 7054.8 ms ✓ GR 123152.9 ms ✓ Plots 5 dependencies successfully precompiled in 145 seconds. 172 already precompiled. ┌ Warning: In forward map ensemble g, detected 12 NaNs. │ Given nan_tolerance = 0.5 to determine failed members: │ - Ensemble members failed: 1 │ - NaNs in successful members: 8 │ - row index set for imputation: [1, 3, 4, 5] │ - row index entirely NaN: [3, 4] └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/EnsembleKalmanProcess.jl:1283 [ Info: Imputed 8 NaNs ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/EnsembleKalmanProcess.jl:302 ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/EnsembleKalmanProcess.jl:302 ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/EnsembleKalmanProcess.jl:302 Accelerator: DefaultAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 4.041216419302272 Accelerator: ConstantNesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 5.52791545340249 Accelerator: FirstOrderNesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4720598774001368 Accelerator: NesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4029212592837386 Accelerator: DefaultAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.7941232384822934 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 = 3.426455870337427 Accelerator: NesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4682525600586875 Accelerator: DefaultAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.681481619540348 Accelerator: ConstantNesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 20.06966738891485 Accelerator: FirstOrderNesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.302708582215082 Accelerator: NesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.317721952936411 Accelerator: DefaultAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.681469088608949 Accelerator: ConstantNesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 20.488692614847807 Accelerator: FirstOrderNesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.302694893399119 Accelerator: NesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 8.317708557988915 Accelerator: DefaultAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.731822210914777 Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4603341055561905 Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 26.879766920574983 Accelerator: NesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 24.96474196863106 Accelerator: DefaultAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 9.43074510455034 Accelerator: ConstantNesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 5.720728999343717 Accelerator: FirstOrderNesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 16.861052222248325 Accelerator: NesterovAccelerator Process: Inversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 16.692598171802636 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.4322821976085027 Accelerator: FirstOrderNesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.430813141560148 Accelerator: NesterovAccelerator Process: TransformInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 7.56324937619064 Accelerator: DefaultAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.287893625817657 Accelerator: ConstantNesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.459558983461834 Accelerator: FirstOrderNesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.218571649735448 Accelerator: NesterovAccelerator Process: Unscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.220963940960194 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 = 6.4595527501745575 Accelerator: FirstOrderNesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.2185646099887935 Accelerator: NesterovAccelerator Process: TransformUnscented ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.220957433176821 Accelerator: DefaultAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 47.53458304068786 Accelerator: ConstantNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 41.16549920140331 Accelerator: FirstOrderNesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 31.193069449772544 Accelerator: NesterovAccelerator Process: GaussNewtonInversion ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 29.94032290663007 Accelerator: DefaultAccelerator Process: Sampler ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 13.3206993633562 Accelerator: ConstantNesterovAccelerator Process: Sampler ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/EnsembleKalmanProcess.jl:302 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.7934038888585366 Accelerator: FirstOrderNesterovAccelerator Process: Sampler ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/EnsembleKalmanProcess.jl:302 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 6.91613780556875 Accelerator: NesterovAccelerator Process: Sampler ┌ Warning: Acceleration is experimental for Sampler processes and may affect convergence. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/EnsembleKalmanProcess.jl:302 ┌ Info: Convergence: │ cost_initial = 266.07922397495446 └ cost_final = 3.815566385046744 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: 0.5206824388403605 [ Info: Iteration 1 (T=0.05) ┌ Info: Covariance-weighted error: 300.5801831542081 │ Covariance trace: 0.2674052307226532 └ Covariance trace ratio (current/previous): 0.513566832248473 [ Info: Iteration 2 (T=0.1) ┌ Info: Covariance-weighted error: 22.153787989697577 │ Covariance trace: 0.22955513123708293 └ Covariance trace ratio (current/previous): 0.8584541544558357 [ Info: Iteration 3 (T=0.2) ┌ Info: Covariance-weighted error: 25.697287950456833 │ Covariance trace: 0.18532176996549055 └ Covariance trace ratio (current/previous): 0.8073083314094666 [ Info: Iteration 4 (T=0.25) ┌ Info: Covariance-weighted error: 23.683239966922176 │ Covariance trace: 0.10009232673746915 └ Covariance trace ratio (current/previous): 0.5401002092528455 [ Info: Iteration 5 (T=0.3) ┌ Info: Covariance-weighted error: 24.484207148195356 │ Covariance trace: 0.020437816202278504 └ Covariance trace ratio (current/previous): 0.20418964038956336 [ Info: Iteration 6 (T=0.35) ┌ Info: Covariance-weighted error: 5.136506068303652 │ Covariance trace: 0.019919319627906048 └ Covariance trace ratio (current/previous): 0.974630529541867 [ Info: Iteration 7 (T=0.39999999999999997) ┌ Info: Covariance-weighted error: 5.404413059336879 │ Covariance trace: 0.025480016119538356 └ Covariance trace ratio (current/previous): 1.2791609651085687 [ Info: Iteration 8 (T=0.44999999999999996) ┌ Info: Covariance-weighted error: 6.192477742968794 │ Covariance trace: 0.02742822043679583 └ Covariance trace ratio (current/previous): 1.0764600896686076 [ Info: Iteration 9 (T=0.49999999999999994) ┌ Info: Covariance-weighted error: 5.662780455955098 │ Covariance trace: 0.030222938279260952 └ Covariance trace ratio (current/previous): 1.1018920585425922 [ Info: Iteration 10 (T=0.5499999999999999) ┌ Info: Covariance-weighted error: 5.393979918349135 │ Covariance trace: 0.03418386525111963 └ Covariance trace ratio (current/previous): 1.1310569784863267 [ Info: Iteration 11 (T=0.6) ┌ Info: Covariance-weighted error: 5.639956751262593 │ Covariance trace: 0.037496271216780876 └ Covariance trace ratio (current/previous): 1.0968996905799806 [ Info: Iteration 12 (T=0.65) ┌ Info: Covariance-weighted error: 6.00002059549917 │ Covariance trace: 0.03945153933555659 └ Covariance trace ratio (current/previous): 1.0521456682311563 [ Info: Iteration 13 (T=0.7000000000000001) ┌ Info: Covariance-weighted error: 6.34730230898634 │ Covariance trace: 0.041312530337690306 └ Covariance trace ratio (current/previous): 1.04717156880255 [ Info: Iteration 14 (T=0.7500000000000001) ┌ Info: Covariance-weighted error: 6.635729396307854 │ Covariance trace: 0.04305878496114949 └ Covariance trace ratio (current/previous): 1.0422693698300547 [ Info: Iteration 15 (T=0.8000000000000002) ┌ Info: Covariance-weighted error: 7.141997581299219 │ Covariance trace: 0.04457012761514807 └ Covariance trace ratio (current/previous): 1.0350995193051131 [ Info: Iteration 16 (T=0.8500000000000002) ┌ Info: Covariance-weighted error: 6.932594897625885 │ Covariance trace: 0.04588262633578791 └ Covariance trace ratio (current/previous): 1.0294479462112591 [ Info: Iteration 17 (T=0.9000000000000002) ┌ Info: Covariance-weighted error: 7.265136148392946 │ Covariance trace: 0.04702705480949125 └ Covariance trace ratio (current/previous): 1.0249425232402336 [ Info: Iteration 18 (T=0.9500000000000003) ┌ Info: Covariance-weighted error: 7.421466330158834 │ Covariance trace: 0.04802923886942714 └ Covariance trace ratio (current/previous): 1.0213107978799818 [ Info: Iteration 19 (T=1.0000000000000002) ┌ Info: Covariance-weighted error: 7.731258818944802 │ Covariance trace: 0.04891069574363722 └ Covariance trace ratio (current/previous): 1.0183525055769969 [ Info: Iteration 20 (T=1.0500000000000003) ┌ Info: Covariance-weighted error: 7.563841037903071 │ Covariance trace: 0.04968931150561115 └ Covariance trace ratio (current/previous): 1.0159191307777546 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: 0.5206824388403605 [ Info: Iteration 1 (T=0.05) ┌ Info: Covariance-weighted error: 305.17142448844834 │ Covariance trace: 0.2904625781048972 └ Covariance trace ratio (current/previous): 0.557849768760786 [ Info: Iteration 2 (T=0.1) ┌ Info: Covariance-weighted error: 18.57867050087049 │ Covariance trace: 0.18693743705902255 └ Covariance trace ratio (current/previous): 0.6435852710482803 [ Info: Iteration 3 (T=0.2) ┌ Info: Covariance-weighted error: 12.214032833219878 │ Covariance trace: 0.10746724469119483 └ Covariance trace ratio (current/previous): 0.5748834817782579 [ Info: Iteration 4 (T=0.25) ┌ Info: Covariance-weighted error: 7.810664796750073 │ Covariance trace: 0.06879879375445563 └ Covariance trace ratio (current/previous): 0.6401838434785195 [ Info: Iteration 5 (T=0.3) ┌ Info: Covariance-weighted error: 5.3050092555789705 │ Covariance trace: 0.0671694321523116 └ Covariance trace ratio (current/previous): 0.9763170033480636 [ Info: Iteration 6 (T=0.35) ┌ Info: Covariance-weighted error: 5.341546518677995 │ Covariance trace: 0.06685560225411172 └ Covariance trace ratio (current/previous): 0.9953277869390313 [ Info: Iteration 7 (T=0.39999999999999997) ┌ Info: Covariance-weighted error: 5.064705017169493 │ Covariance trace: 0.06673793008702056 └ Covariance trace ratio (current/previous): 0.9982399056605025 [ Info: Iteration 8 (T=0.44999999999999996) ┌ Info: Covariance-weighted error: 5.011164949361061 │ Covariance trace: 0.06637832269298888 └ Covariance trace ratio (current/previous): 0.9946116489743871 [ Info: Iteration 9 (T=0.49999999999999994) ┌ Info: Covariance-weighted error: 5.274402735603011 │ Covariance trace: 0.06615132337827695 └ Covariance trace ratio (current/previous): 0.9965802191814662 [ Info: Iteration 10 (T=0.5499999999999999) ┌ Info: Covariance-weighted error: 5.1255461559829225 │ Covariance trace: 0.0657339770139981 └ Covariance trace ratio (current/previous): 0.9936910352965681 [ Info: Iteration 11 (T=0.6) ┌ Info: Covariance-weighted error: 5.319382822464505 │ Covariance trace: 0.06541003928421593 └ Covariance trace ratio (current/previous): 0.9950719894870627 [ Info: Iteration 12 (T=0.65) ┌ Info: Covariance-weighted error: 5.195801880691542 │ Covariance trace: 0.06509299665823257 └ Covariance trace ratio (current/previous): 0.9951529974686948 [ Info: Iteration 13 (T=0.7000000000000001) ┌ Info: Covariance-weighted error: 5.118165778651507 │ Covariance trace: 0.06463493473676918 └ Covariance trace ratio (current/previous): 0.9929629615322764 [ Info: Iteration 14 (T=0.7500000000000001) ┌ Info: Covariance-weighted error: 5.107839034556559 │ Covariance trace: 0.0643623713624856 └ Covariance trace ratio (current/previous): 0.9957830331941447 [ Info: Iteration 15 (T=0.8000000000000002) ┌ Info: Covariance-weighted error: 5.060581242576648 │ Covariance trace: 0.06422613021469348 └ Covariance trace ratio (current/previous): 0.9978832174000424 [ Info: Iteration 16 (T=0.8500000000000002) ┌ Info: Covariance-weighted error: 5.041157104302165 │ Covariance trace: 0.06396257582883852 └ Covariance trace ratio (current/previous): 0.9958964616897522 [ Info: Iteration 17 (T=0.9000000000000002) ┌ Info: Covariance-weighted error: 5.192023811381855 │ Covariance trace: 0.06357149901196107 └ Covariance trace ratio (current/previous): 0.993885849470416 [ Info: Iteration 18 (T=0.9500000000000003) ┌ Info: Covariance-weighted error: 5.077149880199801 │ Covariance trace: 0.06320375215105024 └ Covariance trace ratio (current/previous): 0.9942152243280965 [ Info: Iteration 19 (T=1.0000000000000002) ┌ Info: Covariance-weighted error: 4.982267263483159 │ Covariance trace: 0.0629499634757001 └ Covariance trace ratio (current/previous): 0.9959845947952012 [ Info: Iteration 20 (T=1.0500000000000003) ┌ Info: Covariance-weighted error: 5.0031338813949375 │ Covariance trace: 0.06285020262324242 └ Covariance trace ratio (current/previous): 0.9984152357372504 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: 0.5206824388403605 [ Info: Iteration 1 (T=0.05) ┌ Info: Covariance-weighted error: 150.40223440086172 │ Covariance trace: 0.47156836211687914 └ Covariance trace ratio (current/previous): 0.9056736447020071 [ Info: Iteration 2 (T=0.1) ┌ Info: Covariance-weighted error: 132.27937667497937 │ Covariance trace: 0.4584745702068936 └ Covariance trace ratio (current/previous): 0.9722335233618997 [ Info: Iteration 3 (T=0.2) ┌ Info: Covariance-weighted error: 108.80958635248865 │ Covariance trace: 0.3991494191525671 └ Covariance trace ratio (current/previous): 0.8706031808316977 [ Info: Iteration 4 (T=0.25) ┌ Info: Covariance-weighted error: 70.13100113231287 │ Covariance trace: 0.3588282862433827 └ Covariance trace ratio (current/previous): 0.8989823585493621 [ Info: Iteration 5 (T=0.3) ┌ Info: Covariance-weighted error: 52.23773533625795 │ Covariance trace: 0.3190013760887009 └ Covariance trace ratio (current/previous): 0.889008443086707 [ Info: Iteration 6 (T=0.35) ┌ Info: Covariance-weighted error: 33.5932919961943 │ Covariance trace: 0.3879614471307616 └ Covariance trace ratio (current/previous): 1.2161748387658546 [ Info: Iteration 7 (T=0.39999999999999997) ┌ Info: Covariance-weighted error: 20.323517796770464 │ Covariance trace: 0.6224136801966114 └ Covariance trace ratio (current/previous): 1.6043183795704015 [ Info: Iteration 8 (T=0.44999999999999996) ┌ Info: Covariance-weighted error: 25.46551927793353 │ Covariance trace: 0.7414586888236399 └ Covariance trace ratio (current/previous): 1.1912634834591425 [ Info: Iteration 9 (T=0.49999999999999994) ┌ Info: Covariance-weighted error: 30.152972730077543 │ Covariance trace: 0.9031709606673718 └ Covariance trace ratio (current/previous): 1.2181001777729468 [ Info: Iteration 10 (T=0.5499999999999999) ┌ Info: Covariance-weighted error: 30.8495176995411 │ Covariance trace: 0.8768062089253965 └ Covariance trace ratio (current/previous): 0.9708086808697948 [ Info: Iteration 11 (T=0.6) ┌ Info: Covariance-weighted error: 32.319358763088395 │ Covariance trace: 0.7018601017586599 └ Covariance trace ratio (current/previous): 0.8004734622247388 [ Info: Iteration 12 (T=0.65) ┌ Info: Covariance-weighted error: 27.000579045920684 │ Covariance trace: 0.5921067537379736 └ Covariance trace ratio (current/previous): 0.8436250361778994 [ Info: Iteration 13 (T=0.7000000000000001) ┌ Info: Covariance-weighted error: 24.88152730242331 │ Covariance trace: 0.4564149918961874 └ Covariance trace ratio (current/previous): 0.7708322680240289 [ Info: Iteration 14 (T=0.7500000000000001) ┌ Info: Covariance-weighted error: 21.23647760316698 │ Covariance trace: 0.34655897803281355 └ Covariance trace ratio (current/previous): 0.7593067366017616 [ Info: Iteration 15 (T=0.8000000000000002) ┌ Info: Covariance-weighted error: 18.864906960185152 │ Covariance trace: 0.3701505948245065 └ Covariance trace ratio (current/previous): 1.0680738872373383 [ Info: Iteration 16 (T=0.8500000000000002) ┌ Info: Covariance-weighted error: 17.46624076342554 │ Covariance trace: 0.6068498032577919 └ Covariance trace ratio (current/previous): 1.639467318823323 [ Info: Iteration 17 (T=0.9000000000000002) ┌ Info: Covariance-weighted error: 31.082374102454263 │ Covariance trace: 0.6940926319871952 └ Covariance trace ratio (current/previous): 1.1437634621632105 [ Info: Iteration 18 (T=0.9500000000000003) ┌ Info: Covariance-weighted error: 29.320700865581554 │ Covariance trace: 0.8202527741975043 └ Covariance trace ratio (current/previous): 1.181762687566804 [ Info: Iteration 19 (T=1.0000000000000002) ┌ Info: Covariance-weighted error: 56.94693318144871 │ Covariance trace: 1.0011184492455256 └ Covariance trace ratio (current/previous): 1.2204999248249682 [ Info: Iteration 20 (T=1.0500000000000003) ┌ Info: Covariance-weighted error: 68.75900443240336 │ Covariance trace: 1.2594256843095386 └ Covariance trace ratio (current/previous): 1.2580186542947855 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 7 NaNs ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/LearningRateSchedulers.jl:298 [ Info: 2 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 7 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/MwCAA/src/LearningRateSchedulers.jl:298 [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ 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: 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/MwCAA/src/LearningRateSchedulers.jl:298 [ 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: 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 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 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 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: 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 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: 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 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 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 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 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: 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 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 4 NaNs [ Info: 4 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Imputed 4 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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/src/LearningRateSchedulers.jl:298 [ Info: testing TransformUnscented on problem 6 [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: IgnoreFailures. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Warning: Termination condition of scheduler `DataMisfitController` has been exceeded. │ on_terminate="continue" selected. Proceeding with algorithm └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/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/MwCAA/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/MwCAA/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 0.008482458 seconds. └ (avg update: 0.0008482458) ┌ Info: 10 iterations of experiment etki-inf with 10-dim observation took 0.008810057000000001 seconds. └ (avg update: 0.0008810057000000002) ┌ Info: 10 iterations of experiment etki-svd with 10-dim observation took 4.754761234 seconds. └ (avg update: 0.4754761234) ┌ Info: 10 iterations of experiment etki-svdT with 10-dim observation took 0.46971007899999995 seconds. └ (avg update: 0.04697100789999999) ┌ Info: 10 iterations of experiment utki with 10-dim observation took 0.0032618189999999996 seconds. └ (avg update: 0.00032618189999999997) ┌ Info: 10 iterations of experiment utki-svdplusdiag with 10-dim observation took 3.0585506829999995 seconds. └ (avg update: 0.3058550683) ┌ Info: 10 iterations of experiment etki with 100-dim observation took 0.025858436 seconds. └ (avg update: 0.0025858435999999998) ┌ Info: 10 iterations of experiment etki-inf with 100-dim observation took 0.06721922599999999 seconds. └ (avg update: 0.006721922599999999) ┌ Info: 10 iterations of experiment etki-svd with 100-dim observation took 0.025915094 seconds. └ (avg update: 0.0025915094) [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 9 iterations of experiment etki-svdT with 100-dim observation took 0.026074023 seconds. └ (avg update: 0.002897113666666667) ┌ Info: 9 iterations of experiment utki with 100-dim observation took 0.0038788 seconds. └ (avg update: 0.00043097777777777776) ┌ Info: 9 iterations of experiment utki-svdplusdiag with 100-dim observation took 0.027705848999999998 seconds. └ (avg update: 0.003078427666666666) [ Info: Termination condition of scheduler `DataMisfitController` will be exceeded during the next iteration. ┌ Info: 10 iterations of experiment etki with 1000-dim observation took 0.13180286800000002 seconds. └ (avg update: 0.013180286800000001) ┌ Info: 10 iterations of experiment etki-inf with 1000-dim observation took 0.12870034400000002 seconds. └ (avg update: 0.012870034400000003) [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 7 iterations of experiment etki-svd with 1000-dim observation took 0.093750715 seconds. └ (avg update: 0.013392959285714285) [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 6 iterations of experiment etki-svdT with 1000-dim observation took 0.083116976 seconds. └ (avg update: 0.013852829333333332) ┌ Info: 6 iterations of experiment utki with 1000-dim observation took 0.015367474000000002 seconds. └ (avg update: 0.002561245666666667) ┌ Info: 6 iterations of experiment utki-svdplusdiag with 1000-dim observation took 0.025877387 seconds. └ (avg update: 0.004312897833333333) [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 7 iterations of experiment etki with 10000-dim observation took 0.918447323 seconds. └ (avg update: 0.13120676042857143) ┌ Error: The update of experiment etki for 10000 observations should take under 0.04 per update, received 0.13120676042857143. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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 2.4273371069999996 seconds. └ (avg update: 0.3467624438571428) ┌ Error: The update of experiment etki-inf for 10000 observations should take under 0.04 per update, received 0.3467624438571428. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 4 iterations of experiment etki-svd with 10000-dim observation took 0.45185301600000005 seconds. └ (avg update: 0.11296325400000001) ┌ Error: The update of experiment etki-svd for 10000 observations should take under 0.04 per update, received 0.11296325400000001. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 4 iterations of experiment etki-svdT with 10000-dim observation took 0.455033626 seconds. └ (avg update: 0.1137584065) ┌ Error: The update of experiment etki-svdT for 10000 observations should take under 0.04 per update, received 0.1137584065. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 ┌ Info: 4 iterations of experiment utki with 10000-dim observation took 0.13544482000000002 seconds. └ (avg update: 0.033861205000000005) ┌ Info: 4 iterations of experiment utki-svdplusdiag with 10000-dim observation took 0.19096115800000002 seconds. └ (avg update: 0.047740289500000005) [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 6 iterations of experiment etki with 100000-dim observation took 12.559031235 seconds. └ (avg update: 2.0931718725) ┌ Error: The update of experiment etki for 100000 observations should take under 0.39999999999999997 per update, received 2.0931718725. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 8 iterations of experiment etki-inf with 100000-dim observation took 13.151194749999998 seconds. └ (avg update: 1.6438993437499998) ┌ Error: The update of experiment etki-inf for 100000 observations should take under 0.39999999999999997 per update, received 1.6438993437499998. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 3 iterations of experiment etki-svd with 100000-dim observation took 4.648520514 seconds. └ (avg update: 1.549506838) ┌ Error: The update of experiment etki-svd for 100000 observations should take under 0.39999999999999997 per update, received 1.549506838. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 3 iterations of experiment etki-svdT with 100000-dim observation took 4.958224082 seconds. └ (avg update: 1.6527413606666668) ┌ Error: The update of experiment etki-svdT for 100000 observations should take under 0.39999999999999997 per update, received 1.6527413606666668. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 ┌ Info: 3 iterations of experiment utki with 100000-dim observation took 1.2806835559999998 seconds. └ (avg update: 0.4268945186666666) ┌ Info: 3 iterations of experiment utki-svdplusdiag with 100000-dim observation took 1.8302115039999998 seconds. └ (avg update: 0.6100705013333333) ┌ Error: The update of experiment utki-svdplusdiag for 100000 observations should take under 0.39999999999999997 per update, received 0.6100705013333333. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 6 iterations of experiment etki with 1000000-dim observation took 140.370494744 seconds. └ (avg update: 23.395082457333334) ┌ Error: The update of experiment etki for 1000000 observations should take under 4.0 per update, received 23.395082457333334. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 9 iterations of experiment etki-inf with 1000000-dim observation took 224.796260094 seconds. └ (avg update: 24.977362232666664) ┌ Error: The update of experiment etki-inf for 1000000 observations should take under 4.0 per update, received 24.977362232666664. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 2 iterations of experiment etki-svd with 1000000-dim observation took 48.348388146000005 seconds. └ (avg update: 24.174194073000002) ┌ Error: The update of experiment etki-svd for 1000000 observations should take under 4.0 per update, received 24.174194073000002. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/src/LearningRateSchedulers.jl:293 ┌ Info: 2 iterations of experiment etki-svdT with 1000000-dim observation took 47.003500935 seconds. └ (avg update: 23.5017504675) ┌ Error: The update of experiment etki-svdT for 1000000 observations should take under 4.0 per update, received 23.5017504675. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 ┌ Info: 2 iterations of experiment utki with 1000000-dim observation took 18.467153291999995 seconds. └ (avg update: 9.233576645999998) ┌ Error: The update of experiment utki for 1000000 observations should take under 4.0 per update, received 9.233576645999998. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 ┌ Info: 2 iterations of experiment utki-svdplusdiag with 1000000-dim observation took 30.139752317000003 seconds. └ (avg update: 15.069876158500001) ┌ Error: The update of experiment utki-svdplusdiag for 1000000 observations should take under 4.0 per update, received 15.069876158500001. Significant slowdowns encountered in ETKI └ @ Main ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/test/EnsembleKalmanProcess/runtests.jl:1386 [ 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/MwCAA/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. ┌ Warning: Ill-conditioned matrix detected (cond=2.517588727560788e16). Using pseudoinverse solve. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/LinearSolve.jl:21 ┌ Warning: Ill-conditioned matrix detected (cond=2.517588727560788e16). Using pseudoinverse solve. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/src/LinearSolve.jl:21 Completed tests for EnsembleKalmanProcess, 1332 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/MwCAA/src/EnsembleKalmanProcess.jl:269 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/src/EnsembleKalmanProcess.jl:269 ┌ Warning: Recommended minimum ensemble size (`N_ens`) is 10. Got `N_ens` = 5. └ @ EnsembleKalmanProcesses ~/.julia/packages/EnsembleKalmanProcesses/MwCAA/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/MwCAA/src/EnsembleKalmanProcess.jl:269 Completed tests for Localizers, 10 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/MwCAA/src/EnsembleKalmanProcess.jl:269 Completed tests for TOMLInterface, 47 seconds elapsed Starting tests for SparseInversion WARNING: Method definition G_linear(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/test/EnsembleKalmanProcess/inverse_problem.jl:209 overwritten on the same line (check for duplicate calls to `include`). [ Info: [Convex.jl] Compilation finished: 50.84 seconds, 1018.646 MiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. 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[Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: 1 particle failure(s) detected. Handler used: SampleSuccGauss. [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation 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[Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated Scheduler: DefaultScheduler [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 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[Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated [ Info: [Convex.jl] Compilation finished: 0.01 seconds, 209.375 KiB of memory allocated Completed tests for SparseInversion, 129 seconds elapsed Starting tests for Inflation WARNING: Method definition G_linear(Any, Any) in module Main at /home/pkgeval/.julia/packages/EnsembleKalmanProcesses/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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/MwCAA/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 | 5589 5589 30m21.5s Testing EnsembleKalmanProcesses tests passed Testing completed after 1832.71s PkgEval succeeded after 2147.55s