Package evaluation to test SDDP on Julia 1.14.0-DEV.30 (073666df8b*) started at 2025-11-04T19:15:52.961


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 9.77s


################################################################################
# Installation
#

Installing SDDP...
   Resolving package versions...
    Updating `~/.julia/environments/v1.14/Project.toml`
  [f4570300] + SDDP v1.13.0
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [6e4b80f9] + BenchmarkTools v1.6.3
  [d1d4a3ce] + BitFlags v0.1.9
  [523fee87] + CodecBzip2 v0.8.5
  [944b1d66] + CodecZlib v0.7.8
  [bbf7d656] + CommonSubexpressions v0.3.1
  [34da2185] + Compat v4.18.1
  [f0e56b4a] + ConcurrentUtilities v2.5.0
  [864edb3b] + DataStructures v0.19.2
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [ffbed154] + DocStringExtensions v0.9.5
  [460bff9d] + ExceptionUnwrapping v0.1.11
  [e2ba6199] + ExprTools v0.1.10
  [f6369f11] + ForwardDiff v1.2.2
  [cd3eb016] + HTTP v1.10.19
  [92d709cd] + IrrationalConstants v0.2.6
  [692b3bcd] + JLLWrappers v1.7.1
⌅ [682c06a0] + JSON v0.21.4
  [0f8b85d8] + JSON3 v1.14.3
  [4076af6c] + JuMP v1.29.2
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.2.0
  [1914dd2f] + MacroTools v0.5.16
  [b8f27783] + MathOptInterface v1.46.0
  [739be429] + MbedTLS v1.1.9
  [d8a4904e] + MutableArithmetics v1.6.7
  [77ba4419] + NaNMath v1.1.3
  [4d8831e6] + OpenSSL v1.6.0
  [bac558e1] + OrderedCollections v1.8.1
  [69de0a69] + Parsers v2.8.3
  [aea7be01] + PrecompileTools v1.3.3
  [21216c6a] + Preferences v1.5.0
  [3cdcf5f2] + RecipesBase v1.3.4
  [189a3867] + Reexport v1.2.2
  [f4570300] + SDDP v1.13.0
  [777ac1f9] + SimpleBufferStream v1.2.0
  [276daf66] + SpecialFunctions v2.6.1
  [1e83bf80] + StaticArraysCore v1.4.4
  [10745b16] + Statistics v1.11.1
  [856f2bd8] + StructTypes v1.11.0
  [a759f4b9] + TimerOutputs v0.5.29
  [3bb67fe8] + TranscodingStreams v0.11.3
  [5c2747f8] + URIs v1.6.1
  [6e34b625] + Bzip2_jll v1.0.9+0
  [c8ffd9c3] + MbedTLS_jll v2.28.10+0
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [de0858da] + Printf v1.11.0
  [9abbd945] + Profile v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v1.0.0
  [9e88b42a] + Serialization v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.13.0
  [f489334b] + StyledStrings v1.11.0
  [fa267f1f] + TOML v1.0.3
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [14a3606d] + MozillaCACerts_jll v2025.9.9
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.7+0
  [458c3c95] + OpenSSL_jll v3.5.4+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.15.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 4.84s


################################################################################
# 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/nGMfF/src/julia-1.11/common.jl:75
│     [2] test_dir_has_project_file
│       @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:52 [inlined]
│     [3] maybe_gen_project_override!
│       @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:83 [inlined]
│     [4] activate(pkg::String; allow_reresolve::Bool)
│       @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:12
│     [5] activate(pkg::String)
│       @ TestEnv ~/.julia/packages/TestEnv/nGMfF/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:309
│     [8] exec_options(opts::Base.JLOptions)
│       @ Base ./client.jl:344
│     [9] _start()
│       @ Base ./client.jl:577
└ @ Main /PkgEval.jl/scripts/precompile.jl:26
Precompiling package dependencies...
Precompiling packages...
  79072.4 ms  ✓ MathOptInterface
  65622.1 ms  ✓ JuMP
  27350.9 ms  ✓ SDDP
  3 dependencies successfully precompiled in 174 seconds. 68 already precompiled.

Precompilation completed after 186.19s


################################################################################
# Testing
#

     Testing SDDP
      Status `/tmp/jl_azuye5/Project.toml`
  [87dc4568] HiGHS v1.20.0
  [b6b21f68] Ipopt v1.12.1
⌅ [682c06a0] JSON v0.21.4
  [7d188eb4] JSONSchema v1.5.0
  [91a5bcdd] Plots v1.41.1
  [f4570300] SDDP v1.13.0
  [10745b16] Statistics v1.11.1
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.7.0
  [44cfe95a] Pkg v1.13.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_azuye5/Manifest.toml`
  [66dad0bd] AliasTables v1.1.3
  [6e4b80f9] BenchmarkTools v1.6.3
  [d1d4a3ce] BitFlags v0.1.9
  [523fee87] CodecBzip2 v0.8.5
  [944b1d66] CodecZlib v0.7.8
  [35d6a980] ColorSchemes v3.31.0
  [3da002f7] ColorTypes v0.12.1
  [c3611d14] ColorVectorSpace v0.11.0
  [5ae59095] Colors v0.13.1
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.18.1
  [f0e56b4a] ConcurrentUtilities v2.5.0
  [d38c429a] Contour v0.6.3
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.19.2
  [8bb1440f] DelimitedFiles v1.9.1
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [ffbed154] DocStringExtensions v0.9.5
  [460bff9d] ExceptionUnwrapping v0.1.11
  [e2ba6199] ExprTools v0.1.10
  [c87230d0] FFMPEG v0.4.5
  [53c48c17] FixedPointNumbers v0.8.5
  [1fa38f19] Format v1.3.7
  [f6369f11] ForwardDiff v1.2.2
  [28b8d3ca] GR v0.73.18
  [42e2da0e] Grisu v1.0.2
  [cd3eb016] HTTP v1.10.19
  [87dc4568] HiGHS v1.20.0
  [b6b21f68] Ipopt v1.12.1
  [92d709cd] IrrationalConstants v0.2.6
  [1019f520] JLFzf v0.1.11
  [692b3bcd] JLLWrappers v1.7.1
⌅ [682c06a0] JSON v0.21.4
  [0f8b85d8] JSON3 v1.14.3
  [7d188eb4] JSONSchema v1.5.0
  [4076af6c] JuMP v1.29.2
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.10
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [1914dd2f] MacroTools v0.5.16
  [8c4f8055] MathOptIIS v0.1.1
  [b8f27783] MathOptInterface v1.46.0
  [739be429] MbedTLS v1.1.9
  [442fdcdd] Measures v0.3.3
  [e1d29d7a] Missings v1.2.0
  [d8a4904e] MutableArithmetics v1.6.7
  [77ba4419] NaNMath v1.1.3
  [4d8831e6] OpenSSL v1.6.0
  [bac558e1] OrderedCollections v1.8.1
  [69de0a69] Parsers v2.8.3
  [ccf2f8ad] PlotThemes v3.3.0
  [995b91a9] PlotUtils v1.4.3
  [91a5bcdd] Plots v1.41.1
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.0
  [43287f4e] PtrArrays v1.3.0
  [3cdcf5f2] RecipesBase v1.3.4
  [01d81517] RecipesPipeline v0.6.12
  [189a3867] Reexport v1.2.2
  [05181044] RelocatableFolders v1.0.1
  [ae029012] Requires v1.3.1
  [f4570300] SDDP v1.13.0
  [6c6a2e73] Scratch v1.3.0
  [992d4aef] Showoff v1.0.3
  [777ac1f9] SimpleBufferStream v1.2.0
  [a2af1166] SortingAlgorithms v1.2.2
  [276daf66] SpecialFunctions v2.6.1
  [860ef19b] StableRNGs v1.0.3
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.7
  [856f2bd8] StructTypes v1.11.0
  [62fd8b95] TensorCore v0.1.1
  [a759f4b9] TimerOutputs v0.5.29
  [3bb67fe8] TranscodingStreams v0.11.3
  [5c2747f8] URIs v1.6.1
  [1cfade01] UnicodeFun v0.4.1
  [41fe7b60] Unzip v0.2.0
  [ae81ac8f] ASL_jll v0.1.3+0
  [6e34b625] Bzip2_jll v1.0.9+0
  [83423d85] Cairo_jll v1.18.5+0
  [ee1fde0b] Dbus_jll v1.16.2+0
  [2702e6a9] EpollShim_jll v0.0.20230411+1
  [2e619515] Expat_jll v2.7.3+0
  [b22a6f82] FFMPEG_jll v8.0.0+0
  [a3f928ae] Fontconfig_jll v2.17.1+0
  [d7e528f0] FreeType2_jll v2.13.4+0
  [559328eb] FriBidi_jll v1.0.17+0
  [0656b61e] GLFW_jll v3.4.0+2
  [d2c73de3] GR_jll v0.73.18+0
  [b0724c58] GettextRuntime_jll v0.22.4+0
  [61579ee1] Ghostscript_jll v9.55.1+0
  [7746bdde] Glib_jll v2.86.0+0
  [3b182d85] Graphite2_jll v1.3.15+0
  [2e76f6c2] HarfBuzz_jll v8.5.1+0
  [8fd58aa0] HiGHS_jll v1.12.0+0
  [e33a78d0] Hwloc_jll v2.12.2+0
  [9cc047cb] Ipopt_jll v300.1400.1900+0
  [aacddb02] JpegTurbo_jll v3.1.3+0
  [c1c5ebd0] LAME_jll v3.100.3+0
  [88015f11] LERC_jll v4.0.1+0
  [1d63c593] LLVMOpenMP_jll v18.1.8+0
  [dd4b983a] LZO_jll v2.10.3+0
  [e9f186c6] Libffi_jll v3.4.7+0
  [7e76a0d4] Libglvnd_jll v1.7.1+1
  [94ce4f54] Libiconv_jll v1.18.0+0
  [4b2f31a3] Libmount_jll v2.41.2+0
  [89763e89] Libtiff_jll v4.7.2+0
  [38a345b3] Libuuid_jll v2.41.2+0
  [d00139f3] METIS_jll v5.1.3+0
  [d7ed1dd3] MUMPS_seq_jll v500.800.100+0
  [c8ffd9c3] MbedTLS_jll v2.28.10+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 v1.5.2+0
  [36c8627f] Pango_jll v1.56.4+0
⌅ [30392449] Pixman_jll v0.44.2+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
⌅ [319450e9] SPRAL_jll v2025.5.20+0
  [a44049a8] Vulkan_Loader_jll v1.3.243+0
  [a2964d1f] Wayland_jll v1.24.0+0
⌅ [02c8fc9c] XML2_jll v2.13.9+0
  [ffd25f8a] XZ_jll v5.8.1+0
  [f67eecfb] Xorg_libICE_jll v1.1.2+0
  [c834827a] Xorg_libSM_jll v1.2.6+0
  [4f6342f7] Xorg_libX11_jll v1.8.12+0
  [0c0b7dd1] Xorg_libXau_jll v1.0.13+0
  [935fb764] Xorg_libXcursor_jll v1.2.4+0
  [a3789734] Xorg_libXdmcp_jll v1.1.6+0
  [1082639a] Xorg_libXext_jll v1.3.7+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
  [ea2f1a96] Xorg_libXrender_jll v0.9.12+0
  [a65dc6b1] Xorg_libpciaccess_jll v0.18.1+0
  [c7cfdc94] Xorg_libxcb_jll v1.17.1+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
  [c5fb5394] Xorg_xtrans_jll v1.6.0+0
  [35ca27e7] eudev_jll v3.2.14+0
  [214eeab7] fzf_jll v0.61.1+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 v1.6.50+0
  [f27f6e37] libvorbis_jll v1.3.8+0
  [009596ad] mtdev_jll v1.1.7+0
  [1270edf5] x264_jll v10164.0.1+0
  [dfaa095f] x265_jll v4.1.0+0
  [d8fb68d0] xkbcommon_jll v1.9.2+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
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [b27032c2] LibCURL v1.0.0
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.13.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.13.0
  [de0858da] Printf v1.11.0
  [9abbd945] Profile v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.0.0
  [9e88b42a] Serialization v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.11.0
  [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 v8.16.0+0
  [e37daf67] LibGit2_jll v1.9.1+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.9.9
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.7+0
  [458c3c95] OpenSSL_jll v3.5.4+0
  [efcefdf7] PCRE2_jll v10.47.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.1+2
  [3161d3a3] Zstd_jll v1.5.7+1
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.67.1+0
  [3f19e933] p7zip_jll v17.6.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
[ Info: Experimental.jl
[ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json
[ Info: Inner.jl
Node: 3 - elapsed time: 0.39 plus 9.63 for vertex selection.
Node: 2 - elapsed time: 0.31 plus 0.29 for vertex selection.
Node: 1 - elapsed time: 0.31 plus 0.29 for vertex selection.
First-stage upper bound: 45.83333333333332
Total time for upper bound: 11.225921503
┌ Warning: You must select an optimizer for performing vertex selection.
└ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048
Node: 19 - elapsed time: 0.37 plus 0.41 for vertex selection.
Node: 18 - elapsed time: 0.54 plus 0.42 for vertex selection.
Node: 17 - elapsed time: 0.58 plus 0.33 for vertex selection.
Node: 16 - elapsed time: 0.46 plus 0.34 for vertex selection.
Node: 15 - elapsed time: 0.47 plus 0.33 for vertex selection.
Node: 14 - elapsed time: 0.47 plus 0.34 for vertex selection.
Node: 13 - elapsed time: 0.48 plus 0.34 for vertex selection.
Node: 12 - elapsed time: 0.47 plus 0.34 for vertex selection.
Node: 11 - elapsed time: 0.47 plus 0.34 for vertex selection.
Node: 10 - elapsed time: 0.47 plus 0.33 for vertex selection.
Node: 9 - elapsed time: 0.47 plus 0.33 for vertex selection.
Node: 8 - elapsed time: 0.46 plus 0.33 for vertex selection.
Node: 7 - elapsed time: 0.47 plus 0.33 for vertex selection.
Node: 6 - elapsed time: 0.46 plus 0.34 for vertex selection.
Node: 5 - elapsed time: 0.47 plus 0.33 for vertex selection.
Node: 4 - elapsed time: 0.47 plus 0.33 for vertex selection.
Node: 3 - elapsed time: 0.83 plus 0.34 for vertex selection.
Node: 2 - elapsed time: 0.46 plus 0.33 for vertex selection.
Node: 1 - elapsed time: 0.46 plus 0.33 for vertex selection.
Selection removed 500 vertices
[ Info: MSPFormat.jl
[ Info: algorithm.jl
┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:401
[ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json`
[ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json`
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 1
  scenarios       : 1.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                                  : [3, 3]
  JuMP.AffExpr in MOI.GreaterThan{Float64}     : [1, 1]
  JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2]
  JuMP.VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+00]
  bounds range     [0e+00, 0e+00]
  rhs range        [2e+00, 2e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
†        1   0.000000e+00  0.000000e+00  5.870519e-01         4   1
         3   0.000000e+00  0.000000e+00  1.094984e+00        12   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.094984e+00
total solves   : 12
best bound     :  0.000000e+00
simulation ci  :  0.000000e+00 ± 0.000000e+00
numeric issues : 1
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 8.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                                  : [6, 6]
  JuMP.AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  JuMP.VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4]
  JuMP.VariableRef in MOI.LessThan{Float64}    : [2, 3]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 3e+02]
  bounds range     [1e+02, 2e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   1.100000e+05  1.075000e+05  5.885909e-01         9   1
        20   7.500000e+04  1.075000e+05  1.240691e+00       204   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.240691e+00
total solves   : 204
best bound     :  1.075000e+05
simulation ci  :  8.268750e+04 ± 1.084410e+04
numeric issues : 0
-------------------------------------------------------------------

┌ Warning: Re-training a model with existing cuts!
│ 
│ Are you sure you want to do this? The output from this training may be
│ misleading because the policy is already partially trained.
│ 
│ If you meant to train a new policy with different settings, you must
│ build a new model.
│ 
│ If you meant to refine a previously trained policy, turn off this
│ warning by passing `add_to_existing_cuts = true` as a keyword argument
│ to `SDDP.train`.
│ 
│ In a future release, this warning may turn into an error.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181
┌ Warning: Re-training a model with existing cuts!
│ 
│ Are you sure you want to do this? The output from this training may be
│ misleading because the policy is already partially trained.
│ 
│ If you meant to train a new policy with different settings, you must
│ build a new model.
│ 
│ If you meant to refine a previously trained policy, turn off this
│ warning by passing `add_to_existing_cuts = true` as a keyword argument
│ to `SDDP.train`.
│ 
│ In a future release, this warning may turn into an error.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181
[ Info: binary_expansion.jl
[ Info: deterministic_equivalent.jl
[ Info: modeling_aids.jl
┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/modeling_aids.jl:125
[ Info: user_interface.jl
[ Info: backward_sampling_schemes.jl
[ Info: bellman_functions.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 2.70000e+01
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                                  : [6, 6]
  JuMP.AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  JuMP.VariableRef in MOI.LessThan{Float64}    : [1, 2]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+01]
  bounds range     [5e+00, 2e+01]
  rhs range        [2e+00, 1e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   2.500000e+01  2.138889e+01  1.778246e+00        12   1
        10   2.500000e+00  3.361111e+01  1.804789e+00       120   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.804789e+00
total solves   : 120
best bound     :  3.361111e+01
simulation ci  :  2.775000e+01 ± 3.280073e+01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 2.70000e+01
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                                  : [6, 6]
  JuMP.AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  JuMP.VariableRef in MOI.LessThan{Float64}    : [1, 2]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+01]
  bounds range     [5e+00, 2e+01]
  rhs range        [2e+00, 1e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   2.500000e+01  2.083333e+01  5.528340e-01        12   1
        10   2.500000e+00  3.361111e+01  6.520078e-01       120   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.520078e-01
total solves   : 120
best bound     :  3.361111e+01
simulation ci  :  2.775000e+01 ± 3.280073e+01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 1
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                                  : [8, 8]
  JuMP.AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  JuMP.VariableRef in MOI.EqualTo{Float64}     : [3, 3]
  JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  JuMP.VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+01]
  bounds range     [5e+00, 2e+01]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   9.250000e+01  5.268631e+01  1.025605e-02        46   1
        50   0.000000e+00  1.191663e+02  4.740980e-01      1625   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 4.740980e-01
total solves   : 1625
best bound     :  1.191663e+02
simulation ci  :  7.795000e+01 ± 2.885518e+01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 1
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                                  : [8, 8]
  JuMP.AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  JuMP.VariableRef in MOI.EqualTo{Float64}     : [3, 3]
  JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  JuMP.VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+01]
  bounds range     [5e+00, 2e+01]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   9.250000e+01  5.268631e+01  2.776980e-01        46   1
        50   0.000000e+00  1.191663e+02  7.764690e-01      1625   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 7.764690e-01
total solves   : 1625
best bound     :  1.191663e+02
simulation ci  :  7.795000e+01 ± 2.885518e+01
numeric issues : 0
-------------------------------------------------------------------

[ Info: duality_handlers.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 2
  scenarios       : 1.00000e+02
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                                  : [5, 11]
  JuMP.AffExpr in MOI.LessThan{Float64}        : [2, 2]
  JuMP.VariableRef in MOI.EqualTo{Float64}     : [2, 2]
  JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7]
  JuMP.VariableRef in MOI.LessThan{Float64}    : [2, 7]
  JuMP.VariableRef in MOI.ZeroOne              : [4, 4]
numerical stability report
  matrix range     [1e+00, 6e+00]
  objective range  [1e+00, 3e+01]
  bounds range     [1e+00, 1e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1  -4.650000e+01 -7.053967e+01  4.484327e+00       103   1
         3S -5.785826e+01 -6.755367e+01  7.180379e+00       309   1
         4S -6.230988e+01 -6.688020e+01  8.232751e+00       412   1
         6S -6.064080e+01 -6.678327e+01  9.402442e+00       618   1
        15S -4.168889e+01 -6.677644e+01  1.519596e+01      1545   1
        25S -4.168889e+01 -6.677644e+01  2.115649e+01      2575   1
        35S -3.268889e+01 -6.677644e+01  2.712993e+01      3605   1
        45S -4.168889e+01 -6.677644e+01  3.293838e+01      4635   1
        55S -4.868889e+01 -6.677644e+01  3.881244e+01      5665   1
        65S -4.168889e+01 -6.677644e+01  4.469392e+01      6695   1
        75S -8.368889e+01 -6.677644e+01  5.051220e+01      7725   1
        85S -6.068889e+01 -6.677644e+01  5.593873e+01      8755   1
        95S -6.468889e+01 -6.677644e+01  6.170566e+01      9785   1
       100  -8.368889e+01 -6.677644e+01  6.401842e+01     10300   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.401842e+01
total solves   : 10300
best bound     : -6.677644e+01
simulation ci  : -5.960112e+01 ± 3.154656e+00
numeric issues : 0
-------------------------------------------------------------------


******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit https://github.com/coin-or/Ipopt
******************************************************************************

[ Info: forward_passes.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 1
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                                  : [3, 3]
  JuMP.VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1]
  JuMP.VariableRef in MOI.LessThan{Float64}    : [2, 2]
numerical stability report
  matrix range     [0e+00, 0e+00]
  objective range  [1e+00, 1e+00]
  bounds range     [1e+00, 1e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   3.000000e+00  6.000000e+00  1.656055e-03         8   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.656055e-03
total solves   : 8
best bound     :  6.000000e+00
simulation ci  :  3.000000e+00 ±          NaN
numeric issues : 0
-------------------------------------------------------------------

┌ Warning: Re-training a model with existing cuts!
│ 
│ Are you sure you want to do this? The output from this training may be
│ misleading because the policy is already partially trained.
│ 
│ If you meant to train a new policy with different settings, you must
│ build a new model.
│ 
│ If you meant to refine a previously trained policy, turn off this
│ warning by passing `add_to_existing_cuts = true` as a keyword argument
│ to `SDDP.train`.
│ 
│ In a future release, this warning may turn into an error.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181
[ Info: local_improvement_search.jl
[ Info: exp = 15
[ Info: OA(exp) = 220
[ Info: piecewise = 7
[ Info: OA(piecewise) = 6
[ Info: squared = 3
[ Info: OA(squared) = 16
[ Info: parallel_schemes.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 1
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : Asynchronous mode with 4 workers.
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [3, 3]
  VariableRef in MOI.GreaterThan{Float64} : [2, 2]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [0e+00, 0e+00]
  objective range  [1e+00, 1e+00]
  bounds range     [1e+00, 6e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   3.000000e+00  6.000000e+00  2.919898e+02         2   2
        20   9.000000e+00  6.000000e+00  2.973673e+02        40   2
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 2.973673e+02
total solves   : 40
best bound     :  6.000000e+00
simulation ci  :  6.000000e+00 ± 1.119632e+00
numeric issues : 0
-------------------------------------------------------------------

┌ Warning: Re-training a model with existing cuts!
│ 
│ Are you sure you want to do this? The output from this training may be
│ misleading because the policy is already partially trained.
│ 
│ If you meant to train a new policy with different settings, you must
│ build a new model.
│ 
│ If you meant to refine a previously trained policy, turn off this
│ warning by passing `add_to_existing_cuts = true` as a keyword argument
│ to `SDDP.train`.
│ 
│ In a future release, this warning may turn into an error.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 1
  scenarios       : 4.00000e+00
  existing cuts   : true
options
  solver          : Asynchronous mode with 4 workers.
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [3, 3]
  AffExpr in MOI.GreaterThan{Float64}     : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [2, 2]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+00]
  bounds range     [1e+00, 6e+00]
  rhs range        [4e+00, 4e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   5.000000e+00  6.000000e+00  6.755760e-01        48   1
        20   9.000000e+00  6.000000e+00  1.256186e+00       162   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.256186e+00
total solves   : 162
best bound     :  6.000000e+00
simulation ci  :  5.900000e+00 ± 9.633534e-01
numeric issues : 0
-------------------------------------------------------------------

[ Info: risk_measures.jl
┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528
┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528
┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead.
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528
[ Info: sampling_schemes.jl
[ Info: stopping_rules.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 1
  scenarios       : 1.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [3, 3]
  VariableRef in MOI.GreaterThan{Float64} : [2, 2]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [0e+00, 0e+00]
  objective range  [1e+00, 1e+00]
  bounds range     [0e+00, 0e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   0.000000e+00  0.000000e+00  2.479682e-01         4   1
        50   0.000000e+00  0.000000e+00  6.491430e-01       200   1
-------------------------------------------------------------------
status         : first_stage_stopping
total time (s) : 6.491430e-01
total solves   : 200
best bound     :  0.000000e+00
simulation ci  :  0.000000e+00 ± 0.000000e+00
numeric issues : 0
-------------------------------------------------------------------

┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring.
│ 
│ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)`
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132
Simulated policy value: [ 5.035598e+00,  6.964402e+00]
Simulated policy value: [ 5.282880e+00,  7.117120e+00]
Simulated policy value: [ 5.606329e+00,  7.393671e+00]
┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring.
│ 
│ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)`
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132
Simulated policy value: [ 5.035598e+00,  6.964402e+00]
Simulated policy value: [ 5.282880e+00,  7.117120e+00]
Simulated policy value: [ 5.606329e+00,  7.393671e+00]
┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring.
│ 
│ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)`
└ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132
[ Info: threaded.jl
[ Info: value_functions.jl
[ Info: visualization.jl

test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49
  Expression: read("test.html", String) == read(control, String)
   Evaluated: "<!--\n    Copyright (c) 2017-25, Oscar Dowson and SDDP.jl contributors.\n    This Source Code Form is subject to the terms of the Mozilla Public License,\n    v. 2.0. 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i < plot_data.data.length; i++) {\n                    diff = Math.abs(plot_data.data[i][stage] - ydata[stage]);\n                    if (i != this_path_index) {\n                        set_path_style(i,\n                            modifying_domain.range([\"#8D9091\", \"white\"])(diff),\n                            modifying_domain.range([1.0, 0.0])(diff),\n                            \"2pt\"\n                        )\n                    }\n                }\n            })\n            .on(\"mouseup\", function(d, this_path_index) {\n                // Restore to default all paths except the current hover.\n                for (var i = 0; i < plot_data.data.length; i++) {\n                    if (i != this_path_index) {\n                        set_path_style(i, \"#8D9091\", 0.1, \"2px\");\n                    }\n                }\n            });\n\n        // Add the x-axis label.\n        svg.append(\"text\")\n            .attr(\"transform\", \"translate(\" + (width / 2) + \" ,\" + (height + margin.bottom) + \")\")\n            .attr(\"class\", \"axislabel\")\n            .text(plot_data.xlabel);\n\n        // Add the y-axis label.\n        svg.append(\"text\")\n            .attr(\"transform\", \"rotate(-90)\")\n            .attr(\"y\", 0 - margin.left)\n            .attr(\"x\", 0 - (height / 2))\n            .attr(\"dy\", \"1em\")\n            .attr(\"class\", \"axislabel\")\n            .text(plot_data.ylabel);\n\n        // Add the plot title.\n        svg.append(\"text\")\n            .attr(\"x\", (width / 2))\n            .attr(\"y\", 0 - (margin.top / 2))\n            .attr(\"text-anchor\", \"middle\")\n            .attr(\"class\", \"title\")\n            .text(plot_data.title);\n\n        plots.push({\n            svg: svg,\n            data: plot_data.data\n        })\n    });\n};\n\n    </script>\n</head>\n\n<body>\n    <div class=\"plots\"></div>\n    <script>\n        main( [{\"ymin\":\"\",\"interpolate\":\"linear\",\"ymax\":\"\",\"data\":[[1.0,3.0,6.0],[1.5,4.0,7.5]],\"title\":\"\",\"xlabel\":\"Stages\",\"cumulative\":true,\"ylabel\":\"\"},{\"ymin\":\"\",\"interpolate\":\"linear\",\"ymax\":\"\",\"data\":[[8.0,10.0,12.0],[9.0,11.0,13.0]],\"title\":\"y\",\"xlabel\":\"Stages\",\"cumulative\":false,\"ylabel\":\"\"}]);\n    </script>\n\n</body>\n\n</html>\n"
  Stacktrace:
   [1] macro expansion
     @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:753 [inlined]
   [2] test_SpaghettiPlot()
     @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49
   [3] macro expansion
     @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined]
   [4] macro expansion
     @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined]
   [5] runtests()
     @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17
┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead.
│   caller = test_SpaghettiPlot() at visualization.jl:51
└ @ Core ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:51

test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55
  Expression: read("test.html", String) == read(control, String)
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  Stacktrace:
   [1] macro expansion
     @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:753 [inlined]
   [2] test_SpaghettiPlot()
     @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55
   [3] macro expansion
     @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined]
   [4] macro expansion
     @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined]
   [5] runtests()
     @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17
[ Info: FAST_hydro_thermal.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 1
  scenarios       : 2.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [6, 6]
  AffExpr in MOI.GreaterThan{Float64}     : [1, 1]
  AffExpr in MOI.LessThan{Float64}        : [1, 1]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [3, 4]
  VariableRef in MOI.LessThan{Float64}    : [2, 2]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 5e+00]
  bounds range     [8e+00, 8e+00]
  rhs range        [6e+00, 6e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1  -2.000000e+01 -1.000000e+01  7.638164e+00         5   1
        20   0.000000e+00 -1.000000e+01  8.250725e+00       104   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 8.250725e+00
total solves   : 104
best bound     : -1.000000e+01
simulation ci  : -1.100000e+01 ± 4.474009e+00
numeric issues : 0
-------------------------------------------------------------------

[ Info: FAST_production_management.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 2
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [8, 8]
  AffExpr in MOI.LessThan{Float64}        : [3, 3]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [2e-01, 3e+00]
  bounds range     [5e+01, 5e+01]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         5  -5.320000e+00 -2.396000e+01  6.894090e-01        52   1
        10  -2.396000e+01 -2.396000e+01  6.979899e-01        92   1
        15  -4.260000e+01 -2.396000e+01  7.071800e-01       132   1
        20  -2.396000e+01 -2.396000e+01  7.171140e-01       172   1
        25  -5.320000e+00 -2.396000e+01  7.299910e-01       224   1
        30  -5.320000e+00 -2.396000e+01  7.423079e-01       264   1
        35  -2.396000e+01 -2.396000e+01  7.550099e-01       304   1
        40  -2.396000e+01 -2.396000e+01  7.705050e-01       344   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 7.705050e-01
total solves   : 344
best bound     : -2.396000e+01
simulation ci  : -1.868714e+01 ± 3.990349e+00
numeric issues : 0
-------------------------------------------------------------------

────────────────────────────────────────────────────────────────────────────────────
                                           Time                    Allocations      
                                  ───────────────────────   ────────────────────────
        Tot / % measured:              1.12s /  66.3%           11.8MiB /  58.7%    

Section                   ncalls     time    %tot     avg     alloc    %tot      avg
────────────────────────────────────────────────────────────────────────────────────
forward_pass                  40    481ms   65.0%  12.0ms   1.56MiB   22.4%  39.9KiB
  solve_subproblem           120    479ms   64.7%  3.99ms   1.39MiB   20.0%  11.9KiB
    get_dual_solution        120   50.0μs    0.0%   416ns   13.1KiB    0.2%     112B
  sample_scenario             40    447μs    0.1%  11.2μs   22.3KiB    0.3%     572B
backward_pass                 40    249ms   33.6%  6.22ms   5.22MiB   75.0%   134KiB
  solve_subproblem           160    225ms   30.4%  1.41ms    721KiB   10.1%  4.51KiB
    get_dual_solution        160   1.27ms    0.2%  7.92μs    185KiB    2.6%  1.16KiB
  prepare_backward_pass      160   59.4μs    0.0%   371ns     0.00B    0.0%    0.00B
calculate_bound               40   10.3ms    1.4%   256μs    182KiB    2.5%  4.54KiB
  get_dual_solution           40   15.7μs    0.0%   393ns   4.38KiB    0.1%     112B
get_dual_solution             36   13.2μs    0.0%   368ns   3.94KiB    0.1%     112B
────────────────────────────────────────────────────────────────────────────────────

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 2
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [8, 8]
  AffExpr in MOI.LessThan{Float64}        : [3, 3]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [2e-01, 3e+00]
  bounds range     [5e+01, 5e+01]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         5  -2.396000e+01 -2.396000e+01  8.655810e-01        52   1
        10  -2.396000e+01 -2.396000e+01  8.747661e-01        92   1
        15  -2.396000e+01 -2.396000e+01  8.855360e-01       132   1
        20  -4.260000e+01 -2.396000e+01  8.987432e-01       172   1
        25  -5.320000e+00 -2.396000e+01  9.161730e-01       224   1
        30  -2.396000e+01 -2.396000e+01  9.594522e-01       264   1
        35  -2.396000e+01 -2.396000e+01  9.784551e-01       304   1
        40  -5.320000e+00 -2.396000e+01  1.000182e+00       344   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.000182e+00
total solves   : 344
best bound     : -2.396000e+01
simulation ci  : -2.237170e+01 ± 4.300524e+00
numeric issues : 0
-------------------------------------------------------------------

────────────────────────────────────────────────────────────────────────────────────
                                           Time                    Allocations      
                                  ───────────────────────   ────────────────────────
        Tot / % measured:              1.01s /  94.9%           13.8MiB /  93.6%    

Section                   ncalls     time    %tot     avg     alloc    %tot      avg
────────────────────────────────────────────────────────────────────────────────────
forward_pass                  40    682ms   71.2%  17.1ms   1.56MiB   12.1%  39.9KiB
  solve_subproblem           120    680ms   71.0%  5.66ms   1.39MiB   10.8%  11.9KiB
    get_dual_solution        120   45.9μs    0.0%   382ns   13.1KiB    0.1%     112B
  sample_scenario             40    566μs    0.1%  14.1μs   22.5KiB    0.2%     575B
backward_pass                 40    263ms   27.5%  6.58ms   11.2MiB   86.5%   286KiB
  solve_subproblem           160   28.8ms    3.0%   180μs    722KiB    5.5%  4.51KiB
    get_dual_solution        160   1.35ms    0.1%  8.46μs    185KiB    1.4%  1.16KiB
  prepare_backward_pass      160   81.9μs    0.0%   512ns     0.00B    0.0%    0.00B
calculate_bound               40   12.2ms    1.3%   304μs    183KiB    1.4%  4.58KiB
  get_dual_solution           40   22.4μs    0.0%   561ns   4.38KiB    0.0%     112B
get_dual_solution             36   11.6μs    0.0%   323ns   3.94KiB    0.0%     112B
────────────────────────────────────────────────────────────────────────────────────

[ Info: FAST_quickstart.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 1
  scenarios       : 2.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [3, 4]
  AffExpr in MOI.LessThan{Float64}        : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [2, 3]
  VariableRef in MOI.LessThan{Float64}    : [2, 2]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 2e+00]
  bounds range     [2e+00, 5e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   0.000000e+00 -2.500000e+00  7.163472e-01         5   1
         2  -2.500000e+00 -2.000000e+00  7.186310e-01        14   1
         3  -1.000000e+00 -2.000000e+00  7.229831e-01        19   1
         4  -1.000000e+00 -2.000000e+00  7.240071e-01        24   1
         5  -1.000000e+00 -2.000000e+00  7.249081e-01        29   1
         6  -3.000000e+00 -2.000000e+00  7.257211e-01        34   1
         7  -1.000000e+00 -2.000000e+00  7.351792e-01        39   1
         8  -1.000000e+00 -2.000000e+00  7.363682e-01        44   1
         9  -3.000000e+00 -2.000000e+00  7.374392e-01        49   1
        10  -1.000000e+00 -2.000000e+00  7.383802e-01        54   1
        11  -3.000000e+00 -2.000000e+00  7.392972e-01        59   1
        12  -3.000000e+00 -2.000000e+00  7.402370e-01        64   1
        13  -1.000000e+00 -2.000000e+00  7.412212e-01        69   1
        14  -1.000000e+00 -2.000000e+00  7.422111e-01        74   1
        15  -3.000000e+00 -2.000000e+00  7.431922e-01        79   1
        16  -1.000000e+00 -2.000000e+00  7.442031e-01        84   1
        17  -3.000000e+00 -2.000000e+00  7.452712e-01        89   1
        18  -3.000000e+00 -2.000000e+00  7.463951e-01        94   1
        19  -1.000000e+00 -2.000000e+00  7.474821e-01        99   1
        20  -3.000000e+00 -2.000000e+00  7.485502e-01       104   1
        21  -1.000000e+00 -2.000000e+00  7.506201e-01       113   1
        22  -1.000000e+00 -2.000000e+00  7.517421e-01       118   1
        23  -3.000000e+00 -2.000000e+00  7.528870e-01       123   1
        24  -3.000000e+00 -2.000000e+00  7.540591e-01       128   1
        25  -1.000000e+00 -2.000000e+00  7.552001e-01       133   1
        26  -3.000000e+00 -2.000000e+00  7.564042e-01       138   1
        27  -3.000000e+00 -2.000000e+00  7.575622e-01       143   1
        28  -1.000000e+00 -2.000000e+00  7.587352e-01       148   1
        29  -3.000000e+00 -2.000000e+00  7.599790e-01       153   1
        30  -3.000000e+00 -2.000000e+00  7.612071e-01       158   1
        31  -1.000000e+00 -2.000000e+00  7.625210e-01       163   1
        32  -1.000000e+00 -2.000000e+00  7.637820e-01       168   1
        33  -1.000000e+00 -2.000000e+00  7.650430e-01       173   1
        34  -3.000000e+00 -2.000000e+00  7.663381e-01       178   1
        35  -1.000000e+00 -2.000000e+00  7.676351e-01       183   1
        36  -3.000000e+00 -2.000000e+00  7.689621e-01       188   1
        37  -1.000000e+00 -2.000000e+00  7.702472e-01       193   1
        38  -1.000000e+00 -2.000000e+00  7.716141e-01       198   1
        39  -1.000000e+00 -2.000000e+00  7.729521e-01       203   1
        40  -1.000000e+00 -2.000000e+00  7.743182e-01       208   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 7.743182e-01
total solves   : 208
best bound     : -2.000000e+00
simulation ci  : -1.812500e+00 ± 3.171441e-01
numeric issues : 0
-------------------------------------------------------------------

[ Info: Hydro_thermal.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [6, 6]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 3e+00]
  bounds range     [5e+00, 2e+01]
  rhs range        [2e+00, 1e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   4.000000e+01  1.882708e+01  1.060198e+00        51   1
        24   2.178733e+02  2.251256e+02  2.102712e+00      3972   1
        30   2.138334e+03  2.336430e+02  3.545366e+00      7674   1
        38   8.025312e+02  2.352957e+02  4.779790e+00     10194   1
        46   1.737622e+02  2.358930e+02  5.861697e+00     12054   1
        58   4.114170e+01  2.360915e+02  6.893032e+00     13734   1
        63   1.493193e+03  2.362190e+02  8.425778e+00     15909   1
        66   1.835986e+02  2.362635e+02  9.497460e+00     16746   1
        98   5.715017e+02  2.364082e+02  1.492393e+01     23094   1
       100   4.969839e+02  2.364135e+02  1.575472e+01     23928   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.575472e+01
total solves   : 23928
best bound     :  2.364135e+02
simulation ci  :  2.345669e+02 ± 6.032770e+01
numeric issues : 0
-------------------------------------------------------------------

On average, 2.1 units of thermal are used in the first stage.
[ Info: StochDynamicProgramming.jl_multistock.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 5
  state variables : 3
  scenarios       : 1.43489e+07
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [13, 13]
  AffExpr in MOI.EqualTo{Float64}         : [3, 3]
  AffExpr in MOI.LessThan{Float64}        : [1, 1]
  VariableRef in MOI.EqualTo{Float64}     : [3, 3]
  VariableRef in MOI.GreaterThan{Float64} : [7, 7]
  VariableRef in MOI.LessThan{Float64}    : [6, 7]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [3e-01, 2e+00]
  bounds range     [5e-01, 5e+00]
  rhs range        [2e+00, 2e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10  -4.977586e+00 -4.446713e+00  1.955289e+00      1400   1
        20  -4.764789e+00 -4.394789e+00  2.267927e+00      2800   1
        30  -4.672487e+00 -4.377000e+00  2.593609e+00      4200   1
        40  -4.483495e+00 -4.370632e+00  2.926274e+00      5600   1
        50  -4.167321e+00 -4.364999e+00  3.277616e+00      7000   1
        60  -4.362455e+00 -4.358864e+00  3.711971e+00      8400   1
        70  -4.849916e+00 -4.355337e+00  4.057163e+00      9800   1
        80  -4.861568e+00 -4.353006e+00  4.418415e+00     11200   1
        90  -4.268264e+00 -4.350407e+00  4.771213e+00     12600   1
       100  -4.539897e+00 -4.348641e+00  5.145685e+00     14000   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 5.145685e+00
total solves   : 14000
best bound     : -4.348641e+00
simulation ci  : -4.325070e+00 ± 8.068871e-02
numeric issues : 0
-------------------------------------------------------------------

[ Info: StochDynamicProgramming.jl_stock.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 5
  state variables : 1
  scenarios       : 1.00000e+05
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [5, 5]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [3, 3]
  VariableRef in MOI.LessThan{Float64}    : [2, 3]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [3e-01, 2e+00]
  bounds range     [5e-01, 2e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10  -1.671715e+00 -1.476962e+00  1.739462e+00      1050   1
        20  -1.529197e+00 -1.471817e+00  1.831749e+00      1600   1
        30  -1.410768e+00 -1.471408e+00  2.053430e+00      2650   1
        40  -1.596461e+00 -1.471258e+00  2.155436e+00      3200   1
        50  -1.002277e+00 -1.471216e+00  2.367475e+00      4250   1
        60  -1.085156e+00 -1.471164e+00  2.470461e+00      4800   1
        70  -1.391746e+00 -1.471164e+00  2.697493e+00      5850   1
        80  -1.448703e+00 -1.471132e+00  2.810864e+00      6400   1
        90  -1.488989e+00 -1.471087e+00  3.036357e+00      7450   1
       100  -1.564260e+00 -1.471075e+00  3.157461e+00      8000   1
       110  -1.738157e+00 -1.471075e+00  3.273640e+00      8550   1
       120  -1.591292e+00 -1.471075e+00  3.395670e+00      9100   1
       130  -1.271481e+00 -1.471075e+00  3.518707e+00      9650   1
       140  -1.249746e+00 -1.471075e+00  3.654124e+00     10200   1
       150  -1.536222e+00 -1.471075e+00  3.787678e+00     10750   1
       160  -1.565422e+00 -1.471075e+00  3.931763e+00     11300   1
       170  -1.631076e+00 -1.471075e+00  4.071279e+00     11850   1
       180  -1.494909e+00 -1.471075e+00  4.235907e+00     12400   1
       182  -9.083563e-01 -1.471075e+00  4.261701e+00     12510   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 4.261701e+00
total solves   : 12510
best bound     : -1.471075e+00
simulation ci  : -1.462065e+00 ± 2.699238e-02
numeric issues : 0
-------------------------------------------------------------------

[ Info: StructDualDynProg.jl_prob5.2_2stages.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 4
  scenarios       : 2.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [29, 29]
  AffExpr in MOI.EqualTo{Float64}         : [4, 5]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 3]
  AffExpr in MOI.LessThan{Float64}        : [4, 4]
  VariableRef in MOI.EqualTo{Float64}     : [3, 3]
  VariableRef in MOI.GreaterThan{Float64} : [22, 22]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+06]
  bounds range     [0e+00, 0e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   3.455904e+05  3.147347e+05  5.533130e-01        54   1
        20   3.336455e+05  3.402383e+05  5.658488e-01       104   1
        30   3.993519e+05  3.403155e+05  5.779839e-01       158   1
        40   3.337559e+05  3.403155e+05  5.883989e-01       208   1
        48   3.337559e+05  3.403155e+05  6.090488e-01       248   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 6.090488e-01
total solves   : 248
best bound     :  3.403155e+05
simulation ci  :  1.298444e+08 ± 1.785864e+08
numeric issues : 0
-------------------------------------------------------------------

[ Info: StructDualDynProg.jl_prob5.2_3stages.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 4
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [29, 29]
  AffExpr in MOI.EqualTo{Float64}         : [4, 5]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 3]
  AffExpr in MOI.LessThan{Float64}        : [4, 4]
  VariableRef in MOI.EqualTo{Float64}     : [3, 3]
  VariableRef in MOI.GreaterThan{Float64} : [22, 22]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+05]
  bounds range     [0e+00, 0e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   4.403329e+05  3.509666e+05  8.370960e-01        92   1
        20   4.506600e+05  4.054833e+05  8.626931e-01       172   1
        30   3.959476e+05  4.067125e+05  8.852551e-01       264   1
        40   4.497721e+05  4.067125e+05  9.063830e-01       344   1
        47   3.959476e+05  4.067125e+05  9.246721e-01       400   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 9.246721e-01
total solves   : 400
best bound     :  4.067125e+05
simulation ci  :  2.696242e+07 ± 3.645299e+07
numeric issues : 0
-------------------------------------------------------------------

[ Info: agriculture_mccardle_farm.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 10
  state variables : 4
  scenarios       : 2.70000e+01
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [24, 24]
  AffExpr in MOI.EqualTo{Float64}         : [3, 3]
  AffExpr in MOI.GreaterThan{Float64}     : [1, 1]
  AffExpr in MOI.LessThan{Float64}        : [1, 6]
  VariableRef in MOI.GreaterThan{Float64} : [20, 20]
  VariableRef in MOI.LessThan{Float64}    : [1, 2]
numerical stability report
  matrix range     [1e+00, 8e+01]
  objective range  [1e+00, 1e+03]
  bounds range     [6e+01, 6e+01]
  rhs range        [2e+02, 3e+03]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   8.316000e+03  0.000000e+00  8.980018e+00        14   1
        40   2.308500e+03  4.074139e+03  9.838351e+00       776   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 9.838351e+00
total solves   : 776
best bound     :  4.074139e+03
simulation ci  :  4.224313e+03 ± 6.692189e+02
numeric issues : 0
-------------------------------------------------------------------

[ Info: air_conditioning.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [6, 6]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [4, 4]
  VariableRef in MOI.Integer              : [3, 3]
  VariableRef in MOI.LessThan{Float64}    : [2, 3]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 3e+02]
  bounds range     [1e+02, 2e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1L  7.000000e+04  6.250000e+04  3.060571e+00         8   1
         5L  4.000000e+04  6.250000e+04  4.208355e+00        52   1
        11L  4.000000e+04  6.250000e+04  5.353415e+00       100   1
        17L  4.000000e+04  6.250000e+04  6.448349e+00       148   1
        20L  6.000000e+04  6.250000e+04  7.122283e+00       172   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 7.122283e+00
total solves   : 172
best bound     :  6.250000e+04
simulation ci  :  5.475000e+04 ± 7.336233e+03
numeric issues : 0
-------------------------------------------------------------------

Lower bound is: 62500.0
With first stage solutions 200.0 (production) and 100.0 (stored_production).
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [6, 6]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [4, 4]
  VariableRef in MOI.Integer              : [3, 3]
  VariableRef in MOI.LessThan{Float64}    : [2, 3]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 3e+02]
  bounds range     [1e+02, 2e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   7.000000e+04  6.250000e+04  5.973589e-01         8   1
        15   5.500000e+04  6.250000e+04  1.679750e+00       132   1
        20   4.000000e+04  6.250000e+04  2.041739e+00       172   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 2.041739e+00
total solves   : 172
best bound     :  6.250000e+04
simulation ci  :  5.950000e+04 ± 8.933885e+03
numeric issues : 0
-------------------------------------------------------------------

Lower bound is: 62500.0
With first stage solutions 200.0 (production) and 100.0 (stored_production).
[ Info: air_conditioning_forward.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [5, 5]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [4, 4]
  VariableRef in MOI.LessThan{Float64}    : [2, 3]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 3e+02]
  bounds range     [1e+02, 2e+02]
  rhs range        [1e+02, 3e+02]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   7.000000e+04  6.250000e+04  1.356549e+00         5   1
        10   4.000000e+04  6.250000e+04  2.210646e+00        50   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 2.210646e+00
total solves   : 50
best bound     :  6.250000e+04
simulation ci  :  5.450000e+04 ± 1.135842e+04
numeric issues : 0
-------------------------------------------------------------------

[ Info: all_blacks.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 2
  scenarios       : 1.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [6, 6]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [2, 3]
  VariableRef in MOI.LessThan{Float64}    : [3, 3]
  VariableRef in MOI.ZeroOne              : [3, 3]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 6e+00]
  bounds range     [1e+00, 1e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1L  6.000000e+00  9.000000e+00  1.047944e+00         6   1
        20L  9.000000e+00  9.000000e+00  1.182689e+00       123   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.182689e+00
total solves   : 123
best bound     :  9.000000e+00
simulation ci  :  8.850000e+00 ± 2.940000e-01
numeric issues : 0
-------------------------------------------------------------------

[ Info: asset_management_simple.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 7
  state variables : 2
  scenarios       : 8.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [5, 7]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [3, 5]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 4e+00]
  bounds range     [1e+03, 1e+03]
  rhs range        [6e+01, 8e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         5  -1.109375e+01  2.605769e-01  2.855098e+00        87   1
        10  -1.109375e+01  2.605769e-01  2.870644e+00       142   1
        15   3.105797e+00  5.434132e-01  2.883942e+00       197   1
        20  -2.463349e+01  1.503415e+00  2.898156e+00       252   1
        25  -1.421085e-14  1.514085e+00  2.911849e+00       307   1
        30   4.864000e+01  1.514085e+00  5.057741e+00       394   1
        35   4.864000e+01  1.514085e+00  5.071591e+00       449   1
        40  -8.870299e+00  1.514085e+00  5.087672e+00       504   1
        45  -1.428571e+00  1.514085e+00  5.102669e+00       559   1
        48  -1.428571e+00  1.514085e+00  5.113101e+00       592   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 5.113101e+00
total solves   : 592
best bound     :  1.514085e+00
simulation ci  :  2.494033e+00 ± 5.472486e+00
numeric issues : 0
-------------------------------------------------------------------

[ Info: asset_management_stagewise.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 7
  state variables : 2
  scenarios       : 3.20000e+01
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : #108
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [5, 7]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [2, 5]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [2e-02, 4e+00]
  bounds range     [1e+03, 1e+03]
  rhs range        [6e+01, 8e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   1.395796e+01  1.428818e+00  2.719497e+00       278   1
        20   1.440356e+01  1.278425e+00  2.762006e+00       428   1
        30   8.388546e+00  1.278425e+00  2.833734e+00       706   1
        40   6.666667e-03  1.278410e+00  2.876429e+00       856   1
        50  -5.614035e+00  1.278410e+00  2.949154e+00      1134   1
        60   1.426676e+01  1.278410e+00  2.998279e+00      1284   1
        64   1.261296e+01  1.278410e+00  3.018765e+00      1344   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 3.018765e+00
total solves   : 1344
best bound     :  1.278410e+00
simulation ci  :  8.172580e-01 ± 5.385320e+00
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 7
  state variables : 2
  scenarios       : 3.20000e+01
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : #108
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [5, 7]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [2, 5]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [2e-02, 4e+00]
  bounds range     [1e+03, 1e+03]
  rhs range        [6e+01, 8e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   1.111809e+00  1.278488e+00  1.690861e+00       278   1
        20   1.111084e+01  1.278410e+00  1.743020e+00       428   1
        30   2.293779e+01  1.278410e+00  1.828529e+00       706   1
        40   1.426676e+01  1.278410e+00  1.911371e+00       856   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.911371e+00
total solves   : 856
best bound     :  1.278410e+00
simulation ci  :  3.654300e+00 ± 6.176856e+00
numeric issues : 0
-------------------------------------------------------------------

[ Info: belief.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 4
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [7, 7]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  AffExpr in MOI.GreaterThan{Float64}     : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  VariableRef in MOI.LessThan{Float64}    : [3, 3]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 2e+00]
  bounds range     [2e+00, 1e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   4.787277e+00  9.346930e+00  7.126508e+00       900   1
        20   6.374753e+00  1.361934e+01  7.501084e+00      1720   1
        30   2.848217e+01  1.624016e+01  8.412730e+00      3036   1
        40   1.973944e+01  1.776547e+01  9.363898e+00      4192   1
        50   4.000000e+00  1.889360e+01  1.019779e+01      5020   1
        60   1.142478e+01  1.907862e+01  1.118541e+01      5808   1
        70   9.386421e+00  1.961295e+01  1.210036e+01      6540   1
        80   5.667851e+01  1.890911e+01  1.283401e+01      7088   1
        90   3.740597e+01  1.993139e+01  1.435124e+01      8180   1
       100   9.867183e+00  2.001688e+01  1.504295e+01      8664   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.504295e+01
total solves   : 8664
best bound     :  2.001688e+01
simulation ci  :  2.301336e+01 ± 4.670816e+00
numeric issues : 0
-------------------------------------------------------------------

[ Info: biobjective_hydro.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 5]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   0.000000e+00  0.000000e+00  3.816187e+00        36   1
        10   0.000000e+00  0.000000e+00  3.861533e+00       360   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 3.861533e+00
total solves   : 360
best bound     :  0.000000e+00
simulation ci  :  0.000000e+00 ± 0.000000e+00
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 7]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   9.500000e+02  5.500000e+02  7.413864e-03       407   1
        10   2.850000e+02  5.728212e+02  6.683588e-02       731   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.683588e-02
total solves   : 731
best bound     :  5.728212e+02
simulation ci  :  6.480000e+02 ± 1.400040e+02
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 13]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   4.150000e+02  3.347014e+02  7.341146e-03       778   1
        10   2.825000e+02  3.465177e+02  6.818700e-02      1102   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.818700e-02
total solves   : 1102
best bound     :  3.465177e+02
simulation ci  :  3.598954e+02 ± 6.281469e+01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 20]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   2.387500e+02  1.994007e+02  7.061005e-03      1149   1
        10   2.587500e+02  2.052799e+02  6.878591e-02      1473   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.878591e-02
total solves   : 1473
best bound     :  2.052799e+02
simulation ci  :  2.206923e+02 ± 2.764045e+01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 24]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   9.375000e+02  4.637735e+02  8.210897e-03      1520   1
        10   2.875000e+02  4.661908e+02  7.902884e-02      1844   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 7.902884e-02
total solves   : 1844
best bound     :  4.661908e+02
simulation ci  :  5.075000e+02 ± 1.503394e+02
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 30]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   1.112500e+02  1.129545e+02  7.941961e-03      1891   1
        10   1.000000e+02  1.129771e+02  6.956005e-02      2215   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.956005e-02
total solves   : 2215
best bound     :  1.129771e+02
simulation ci  :  1.068750e+02 ± 2.168477e+01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 34]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   4.562500e+02  2.788383e+02  8.055925e-03      2262   1
        10   1.625000e+02  2.794553e+02  7.631397e-02      2586   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 7.631397e-02
total solves   : 2586
best bound     :  2.794553e+02
simulation ci  :  2.690625e+02 ± 6.720434e+01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 37]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   4.810804e+02  4.073537e+02  8.448839e-03      2633   1
        10   5.487500e+02  4.077574e+02  8.371091e-02      2957   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 8.371091e-02
total solves   : 2957
best bound     :  4.077574e+02
simulation ci  :  3.863418e+02 ± 9.936379e+01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 43]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   2.718750e+02  5.198033e+02  9.481192e-03      3004   1
        10   6.771875e+02  5.210100e+02  8.770013e-02      3328   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 8.770013e-02
total solves   : 3328
best bound     :  5.210100e+02
simulation ci  :  5.831217e+02 ± 1.295425e+02
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 1.33100e+03
  existing cuts   : true
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [3, 50]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   7.812500e+01  5.720558e+01  9.040117e-03      3375   1
        10   5.312500e+01  5.938345e+01  7.350111e-02      3699   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 7.350111e-02
total solves   : 3699
best bound     :  5.938345e+01
simulation ci  :  6.187500e+01 ± 1.306667e+01
numeric issues : 0
-------------------------------------------------------------------

[ Info: booking_management.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 5
  state variables : 2
  scenarios       : 3.20000e+01
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [10, 10]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  AffExpr in MOI.GreaterThan{Float64}     : [2, 2]
  AffExpr in MOI.LessThan{Float64}        : [6, 6]
  VariableRef in MOI.EqualTo{Float64}     : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [5, 6]
  VariableRef in MOI.LessThan{Float64}    : [6, 6]
  VariableRef in MOI.ZeroOne              : [5, 5]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 6e+00]
  bounds range     [1e+00, 1e+01]
  rhs range        [1e+00, 1e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         5   8.000000e+00  9.440450e+00  2.709903e+00       235   1
        10   1.000000e+01  9.159200e+00  3.226452e+00       310   1
        15   1.000000e+01  9.159200e+00  3.774977e+00       385   1
        20   1.000000e+01  9.159200e+00  4.311073e+00       460   1
        25   1.000000e+01  9.159200e+00  7.277496e+00       695   1
        30   4.000000e+00  9.159200e+00  7.775957e+00       770   1
        35   1.000000e+01  9.159200e+00  8.288978e+00       845   1
        40   1.000000e+01  9.159200e+00  8.840072e+00       920   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 8.840072e+00
total solves   : 920
best bound     :  9.159200e+00
simulation ci  :  7.200000e+00 ± 8.485598e-01
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 4
  scenarios       : 2.16000e+02
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [18, 18]
  AffExpr in MOI.EqualTo{Float64}         : [4, 4]
  AffExpr in MOI.GreaterThan{Float64}     : [4, 4]
  AffExpr in MOI.LessThan{Float64}        : [12, 12]
  VariableRef in MOI.EqualTo{Float64}     : [4, 4]
  VariableRef in MOI.GreaterThan{Float64} : [9, 10]
  VariableRef in MOI.LessThan{Float64}    : [10, 10]
  VariableRef in MOI.ZeroOne              : [9, 9]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 4e+00]
  bounds range     [1e+00, 2e+01]
  rhs range        [1e+00, 1e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   5.000000e+00  6.959189e+00  2.292285e+00       510   1
        20   1.000000e+01  6.834387e+00  4.022353e+00       720   1
        30   7.000000e+00  6.834387e+00  8.206381e+00      1230   1
        40   1.000000e+01  6.823805e+00  9.941871e+00      1440   1
        50   3.000000e+00  6.823805e+00  1.419225e+01      1950   1
        60   2.000000e+00  6.823805e+00  1.595424e+01      2160   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.595424e+01
total solves   : 2160
best bound     :  6.823805e+00
simulation ci  :  6.183333e+00 ± 6.694539e-01
numeric issues : 0
-------------------------------------------------------------------

[ Info: generation_expansion.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 5
  state variables : 5
  scenarios       : 3.27680e+04
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [14, 14]
  AffExpr in MOI.GreaterThan{Float64}     : [7, 7]
  AffExpr in MOI.LessThan{Float64}        : [4, 4]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.Integer              : [5, 5]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 5e+05]
  bounds range     [1e+00, 1e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   5.299676e+06  2.074407e+06  1.223176e+01       920   1
        20   6.049875e+06  2.075240e+06  1.489066e+01      1340   1
        30   5.496647e+05  2.078257e+06  2.515991e+01      2260   1
        40   3.985383e+04  2.078257e+06  2.771952e+01      2680   1
        50   2.994548e+05  2.078257e+06  3.789566e+01      3600   1
        60   3.799457e+06  2.078257e+06  4.050285e+01      4020   1
        61   3.549665e+06  2.078257e+06  4.075775e+01      4062   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 4.075775e+01
total solves   : 4062
best bound     :  2.078257e+06
simulation ci  :  2.437601e+06 ± 5.082681e+05
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 5
  state variables : 5
  scenarios       : 3.27680e+04
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [14, 14]
  AffExpr in MOI.GreaterThan{Float64}     : [7, 7]
  AffExpr in MOI.LessThan{Float64}        : [4, 4]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [8, 8]
  VariableRef in MOI.Integer              : [5, 5]
  VariableRef in MOI.LessThan{Float64}    : [5, 6]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 5e+05]
  bounds range     [1e+00, 1e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10L  2.049870e+06  2.079457e+06  3.040327e+01       920   1
        20L  2.799668e+06  2.079457e+06  5.007032e+01      1340   1
        30L  3.799443e+06  2.079457e+06  7.945164e+01      2260   1
        40L  4.299882e+06  2.079457e+06  1.000697e+02      2680   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.000697e+02
total solves   : 2680
best bound     :  2.079457e+06
simulation ci  :  1.602238e+06 ± 4.944385e+05
numeric issues : 0
-------------------------------------------------------------------

[ Info: hydro_valley.jl
[ Info: infinite_horizon_hydro_thermal.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 1
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [8, 8]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+01]
  bounds range     [5e+00, 2e+01]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
       100   1.000000e+01  1.188534e+02  2.795960e+00      1914   1
       200   0.000000e+00  1.191645e+02  3.270422e+00      3840   1
       300   7.500000e+01  1.191666e+02  3.763928e+00      5738   1
       328   2.500000e+00  1.191667e+02  3.861207e+00      6034   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 3.861207e+00
total solves   : 6034
best bound     :  1.191667e+02
simulation ci  :  2.272866e+01 ± 3.596240e+00
numeric issues : 0
-------------------------------------------------------------------

Confidence_interval = 128.14 ± 13.91
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 1
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [8, 8]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [5, 5]
  VariableRef in MOI.LessThan{Float64}    : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+01]
  bounds range     [5e+00, 2e+01]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
       100   1.000000e+01  1.191232e+02  9.379911e-01      2806   1
       200   0.000000e+00  1.191666e+02  1.555622e+00      4749   1
       287   5.000000e+00  1.191667e+02  2.067514e+00      5662   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 2.067514e+00
total solves   : 5662
best bound     :  1.191667e+02
simulation ci  :  2.112369e+01 ± 3.684376e+00
numeric issues : 0
-------------------------------------------------------------------

Confidence_interval = 122.02 ± 14.06
[ Info: infinite_horizon_trivial.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 1
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [3, 3]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+00]
  bounds range     [0e+00, 0e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   2.000000e+01  1.998872e+01  4.254920e-01      1033   1
        20   8.000000e+00  2.000000e+01  4.560201e-01      1209   1
        30   1.200000e+01  2.000000e+01  6.087720e-01      2304   1
        40   3.000000e+01  2.000000e+01  7.024970e-01      2594   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 7.024970e-01
total solves   : 2594
best bound     :  2.000000e+01
simulation ci  :  1.970000e+01 ± 4.721453e+00
numeric issues : 0
-------------------------------------------------------------------

[ Info: inner_hydro_1d.jl
Building and solving primal outer model for lower bounds
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 4
  state variables : 1
  scenarios       : 1.00000e+03
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2)
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [7, 7]
  VariableRef in MOI.LessThan{Float64}    : [6, 7]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 5e+01]
  bounds range     [2e+01, 2e+02]
  rhs range        [8e+01, 8e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   1.948878e+03  2.847167e+03  1.166200e+00        35   1
        10   7.500000e+02  2.935390e+03  1.232107e+00       350   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.232107e+00
total solves   : 350
best bound     :  2.935390e+03
simulation ci  :  1.544902e+03 ± 5.533339e+02
numeric issues : 0
-------------------------------------------------------------------

Building and solving inner model for upper bounds:
Node: 3 - elapsed time: 0.55 plus 0.95 for vertex selection.
Node: 2 - elapsed time: 0.3 plus 0.16 for vertex selection.
Node: 1 - elapsed time: 0.31 plus 0.14 for vertex selection.
First-stage upper bound: 2969.680973503913
Total time for upper bound: 2.392542271

Bounds:
  Risk-neutral confidence interval: 1411.99 ± 82.02
  Risk-adjusted lower bound: 2935.39
  Risk-adjusted upper bound: 2969.68
[ Info: no_strong_duality.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 1
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [3, 3]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+00]
  bounds range     [0e+00, 0e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   1.000000e+00  1.500000e+00  1.410000e-01         3   1
        40   2.000000e+00  2.000000e+00  3.853528e-01       604   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 3.853528e-01
total solves   : 604
best bound     :  2.000000e+00
simulation ci  :  2.150000e+00 ± 5.038753e-01
numeric issues : 0
-------------------------------------------------------------------

[ Info: objective_state_newsvendor.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 8.51840e+04
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [6, 6]
  AffExpr in MOI.EqualTo{Float64}         : [1, 3]
  AffExpr in MOI.LessThan{Float64}        : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [3, 4]
  VariableRef in MOI.LessThan{Float64}    : [3, 3]
numerical stability report
  matrix range     [8e-01, 2e+00]
  objective range  [1e+00, 2e+00]
  bounds range     [1e+00, 1e+02]
  rhs range        [5e+01, 5e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   3.675000e+00  4.115510e+00  1.521079e+00      1350   1
        20   5.062500e+00  4.110713e+00  1.729972e+00      2700   1
        30   4.500000e+00  4.104200e+00  1.984105e+00      4050   1
        40   3.812500e+00  4.102669e+00  2.238540e+00      5400   1
        50   4.725000e+00  4.095504e+00  2.492478e+00      6750   1
        60   4.050000e+00  4.092999e+00  2.761007e+00      8100   1
        70   4.606250e+00  4.091524e+00  3.034262e+00      9450   1
        80   3.875000e+00  4.089694e+00  3.307415e+00     10800   1
        90   3.750000e+00  4.089490e+00  3.571141e+00     12150   1
       100   5.125000e+00  4.087894e+00  3.844122e+00     13500   1
       110   4.500000e+00  4.087478e+00  4.120816e+00     14850   1
       120   3.650000e+00  4.086704e+00  4.407447e+00     16200   1
       130   4.406250e+00  4.086063e+00  4.702987e+00     17550   1
       140   3.375000e+00  4.085981e+00  4.972844e+00     18900   1
       150   3.000000e+00  4.085945e+00  5.279405e+00     20250   1
       160   3.812500e+00  4.085838e+00  5.579772e+00     21600   1
       170   4.250000e+00  4.085728e+00  5.872692e+00     22950   1
       180   3.243750e+00  4.085593e+00  6.171017e+00     24300   1
       190   4.306250e+00  4.085487e+00  6.467138e+00     25650   1
       200   5.237500e+00  4.085446e+00  6.789019e+00     27000   1
       210   4.500000e+00  4.085441e+00  7.088041e+00     28350   1
       220   3.612500e+00  4.085405e+00  7.416810e+00     29700   1
       230   3.700000e+00  4.085382e+00  7.737399e+00     31050   1
       240   3.437500e+00  4.085254e+00  8.032481e+00     32400   1
       250   4.100000e+00  4.085115e+00  8.333157e+00     33750   1
       260   3.000000e+00  4.084973e+00  8.662387e+00     35100   1
       270   4.918750e+00  4.084943e+00  8.976071e+00     36450   1
       280   2.756250e+00  4.084920e+00  9.313139e+00     37800   1
       290   3.737500e+00  4.084868e+00  9.642005e+00     39150   1
       300   5.750000e+00  4.084868e+00  1.011594e+01     40500   1
       310   5.156250e+00  4.084858e+00  1.047420e+01     41850   1
       320   3.131250e+00  4.084855e+00  1.081699e+01     43200   1
       330   4.125000e+00  4.084846e+00  1.116640e+01     44550   1
       340   5.875000e+00  4.084820e+00  1.150497e+01     45900   1
       350   4.587500e+00  4.084810e+00  1.184837e+01     47250   1
       360   5.087500e+00  4.084805e+00  1.220842e+01     48600   1
       370   4.393750e+00  4.084802e+00  1.256339e+01     49950   1
       380   4.750000e+00  4.084792e+00  1.290872e+01     51300   1
       390   4.437500e+00  4.084785e+00  1.326848e+01     52650   1
       400   4.181250e+00  4.084785e+00  1.361686e+01     54000   1
       410   3.650000e+00  4.084777e+00  1.397450e+01     55350   1
       420   3.750000e+00  4.084769e+00  1.433033e+01     56700   1
       430   3.725000e+00  4.084762e+00  1.468163e+01     58050   1
       440   4.218750e+00  4.084751e+00  1.504451e+01     59400   1
       450   5.500000e+00  4.084751e+00  1.540075e+01     60750   1
       460   3.637500e+00  4.084747e+00  1.574558e+01     62100   1
       470   2.993750e+00  4.084743e+00  1.609903e+01     63450   1
       480   5.237500e+00  4.084743e+00  1.646889e+01     64800   1
       490   4.212500e+00  4.084743e+00  1.682540e+01     66150   1
       500   3.843750e+00  4.084743e+00  1.718066e+01     67500   1
       510   3.425000e+00  4.084743e+00  1.753784e+01     68850   1
       520   4.293750e+00  4.084743e+00  1.787265e+01     70200   1
       530   2.818750e+00  4.084740e+00  1.825831e+01     71550   1
       540   4.668750e+00  4.084740e+00  1.865548e+01     72900   1
       550   2.750000e+00  4.084740e+00  1.903728e+01     74250   1
       560   4.100000e+00  4.084740e+00  1.945182e+01     75600   1
       570   3.200000e+00  4.084738e+00  1.988439e+01     76950   1
       573   5.625000e+00  4.084738e+00  2.000614e+01     77355   1
-------------------------------------------------------------------
status         : time_limit
total time (s) : 2.000614e+01
total solves   : 77355
best bound     :  4.084738e+00
simulation ci  :  4.072317e+00 ± 6.328820e-02
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 1
  scenarios       : 8.51840e+04
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [6, 6]
  AffExpr in MOI.EqualTo{Float64}         : [1, 3]
  AffExpr in MOI.LessThan{Float64}        : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [3, 4]
  VariableRef in MOI.LessThan{Float64}    : [3, 3]
numerical stability report
  matrix range     [8e-01, 2e+00]
  objective range  [1e+00, 2e+00]
  bounds range     [1e+00, 1e+02]
  rhs range        [5e+01, 5e+01]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   3.437500e+00  5.739678e+00  1.465786e+00      1350   1
        20   4.031250e+00  5.604434e+00  2.286667e+00      2700   1
        30   3.250000e+00  4.413538e+00  3.446425e+00      4050   1
        40   4.625000e+00  4.400349e+00  4.609836e+00      5400   1
        50   2.643750e+00  4.048300e+00  6.061267e+00      6750   1
        60   3.000000e+00  4.045495e+00  7.541306e+00      8100   1
        70   4.350000e+00  4.044960e+00  9.462120e+00      9450   1
        80   3.225000e+00  4.044815e+00  1.165224e+01     10800   1
        90   3.500000e+00  4.042932e+00  1.410536e+01     12150   1
       100   2.725000e+00  4.039637e+00  1.690970e+01     13500   1
       110   4.437500e+00  4.039339e+00  1.987623e+01     14850   1
       111   4.275000e+00  4.039330e+00  2.016164e+01     14985   1
-------------------------------------------------------------------
status         : time_limit
total time (s) : 2.016164e+01
total solves   : 14985
best bound     :  4.039330e+00
simulation ci  :  4.022278e+00 ± 1.407475e-01
numeric issues : 0
-------------------------------------------------------------------

[ Info: sldp_example_one.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 8
  state variables : 1
  scenarios       : 1.00000e+08
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [7, 7]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  AffExpr in MOI.GreaterThan{Float64}     : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [4, 4]
  VariableRef in MOI.LessThan{Float64}    : [1, 2]
  VariableRef in MOI.ZeroOne              : [1, 1]
numerical stability report
  matrix range     [1e+00, 2e+00]
  objective range  [5e-01, 1e+00]
  bounds range     [1e+00, 1e+00]
  rhs range        [1e+00, 1e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10   3.219176e+00  1.165102e+00  1.925894e+01      1680   1
        20   2.078810e+00  1.166281e+00  2.079824e+01      2560   1
        30   3.973033e+00  1.166907e+00  2.249616e+01      3440   1
        40   3.706337e+00  1.167312e+00  3.852226e+01      5120   1
        50   3.158565e+00  1.167416e+00  4.011127e+01      6000   1
        60   3.642642e+00  1.167416e+00  5.610289e+01      7680   1
        70   3.451253e+00  1.167416e+00  5.773143e+01      8560   1
        71   2.984727e+00  1.167416e+00  5.785425e+01      8648   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 5.785425e+01
total solves   : 8648
best bound     :  1.167416e+00
simulation ci  :  3.293853e+00 ± 1.130135e-01
numeric issues : 0
-------------------------------------------------------------------

[ Info: sldp_example_two.jl
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 2
  scenarios       : 4.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [7, 11]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  AffExpr in MOI.LessThan{Float64}        : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [5, 7]
  VariableRef in MOI.Integer              : [2, 2]
  VariableRef in MOI.LessThan{Float64}    : [4, 7]
  VariableRef in MOI.ZeroOne              : [4, 4]
numerical stability report
  matrix range     [1e+00, 6e+00]
  objective range  [1e+00, 3e+01]
  bounds range     [1e+00, 1e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10  -4.000000e+01 -5.809615e+01  1.206132e+00        78   1
        20  -4.000000e+01 -5.809615e+01  1.927122e+00       148   1
        30  -4.000000e+01 -5.809615e+01  2.764176e+00       226   1
        40  -4.700000e+01 -5.809615e+01  3.516189e+00       296   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 3.516189e+00
total solves   : 296
best bound     : -5.809615e+01
simulation ci  : -5.346250e+01 ± 7.152725e+00
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 2
  scenarios       : 9.00000e+00
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [7, 11]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  AffExpr in MOI.LessThan{Float64}        : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [5, 7]
  VariableRef in MOI.Integer              : [2, 2]
  VariableRef in MOI.LessThan{Float64}    : [4, 7]
  VariableRef in MOI.ZeroOne              : [4, 4]
numerical stability report
  matrix range     [1e+00, 6e+00]
  objective range  [1e+00, 3e+01]
  bounds range     [1e+00, 1e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10  -6.300000e+01 -6.196125e+01  1.154462e+00       138   1
        20  -4.000000e+01 -6.196125e+01  1.920475e+00       258   1
        30  -7.500000e+01 -6.196125e+01  2.943423e+00       396   1
        40  -4.000000e+01 -6.196125e+01  3.693417e+00       516   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 3.693417e+00
total solves   : 516
best bound     : -6.196125e+01
simulation ci  : -6.108750e+01 ± 7.148463e+00
numeric issues : 0
-------------------------------------------------------------------

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 2
  state variables : 2
  scenarios       : 3.60000e+01
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [7, 11]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  AffExpr in MOI.LessThan{Float64}        : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [5, 7]
  VariableRef in MOI.Integer              : [2, 2]
  VariableRef in MOI.LessThan{Float64}    : [4, 7]
  VariableRef in MOI.ZeroOne              : [4, 4]
numerical stability report
  matrix range     [1e+00, 6e+00]
  objective range  [1e+00, 3e+01]
  bounds range     [1e+00, 1e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
        10  -7.000000e+01 -6.546793e+01  1.894693e+00       462   1

======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile.
--trace-compile is enabled during profile collection.
======================================================================================

cmd: /opt/julia/bin/julia 25 running 1 of 1

signal (10): User defined signal 1
operator delete at /workspace/srcdir/gcc-14.2.0/libstdc++-v3/libsupc++/del_op.cc:48
unknown function (ip: (nil)) at (unknown file)


==============================================================
Profile collected. A report will print at the next yield point.
Disabling --trace-compile
==============================================================

        20  ┌ Warning: There were no samples collected in one or more groups.
│ This may be due to idle threads, or you may need to run your
│ program longer (perhaps by running it multiple times),
│ or adjust the delay between samples with `Profile.init()`.
└ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1362
-5.600000e+01Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x00007716489fc010 Total snapshots: 96. Utilization: 100%
  ╎88 @Base/client.jl:577  _start()
  ╎ 88 @Base/client.jl:310  exec_options(opts::Base.JLOptions)
  ╎  88 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎   88 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
  ╎    88 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, _path::Str…
  ╎     88 @Base/loading.jl:3054  _include(mapexpr::Function, mod::Module, _pat…
  ╎    ╎ 88 @Base/loading.jl:2994  include_string(mapexpr::typeof(identity), mo…
  ╎    ╎  88 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎    ╎   88 …YL/test/runtests.jl:10  util_test_directory(dir::String)
  ╎    ╎    88 …YL/test/runtests.jl:14  util_test_directory(dir::String, exclud…
  ╎    ╎     88 @Test/src/Test.jl:1961  macro expansion
  ╎    ╎    ╎ 88 …L/test/runtests.jl:16  macro expansion
  ╎    ╎    ╎  88 @Base/Base.jl:311  IncludeInto
  ╎    ╎    ╎   88 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, _…
  ╎    ╎    ╎    88 @Base/loading.jl:3054  _include(mapexpr::Function, mod::Mod…
  ╎    ╎    ╎     88 @Base/loading.jl:2994  include_string(mapexpr::typeof(iden…
  ╎    ╎    ╎    ╎ 88 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎    ╎    ╎    ╎  88 …p_example_two.jl:16  kwcall(::@NamedTuple{N::Int64}, ::…
  ╎    ╎    ╎    ╎   88 …_example_two.jl:58  sldp_example_two(; first_stage_int…
  ╎    ╎    ╎    ╎    88 @SDDP/…orithm.jl:1116  train
  ╎    ╎    ╎    ╎     88 @SDDP/…orithm.jl:1291  train(model::SDDP.PolicyGraph{…
  ╎    ╎    ╎    ╎    ╎ 88 @SDDP/…chemes.jl:49  master_loop(::SDDP.Serial, mode…
  ╎    ╎    ╎    ╎    ╎  88 @Base/c.jl:167  disable_sigint
  ╎    ╎    ╎    ╎    ╎   88 @SDDP/…hemes.jl:50  (::SDDP.var"#master_loop##0#ma…
  ╎    ╎    ╎    ╎    ╎    36 @SDDP/…ithm.jl:965  iteration(model::SDDP.PolicyG…
  ╎    ╎    ╎    ╎    ╎     36 @SDDP/…sses.jl:99  forward_pass(model::SDDP.Poli…
  ╎    ╎    ╎    ╎    ╎    ╎ 36 @SDDP/…ithm.jl:11  macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎  36 @SDDP/…ses.jl:100  macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎   36 @SDDP/…thm.jl:491  kwcall(::@NamedTuple{duali…
  ╎    ╎    ╎    ╎    ╎    ╎    36 @SDDP/…hm.jl:517  solve_subproblem(model::SD…
  ╎    ╎    ╎    ╎    ╎    ╎     36 @JuMP/…ce.jl:560  optimize!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 36 @JuMP/…ce.jl:609  optimize!(model::Model; …
  ╎    ╎    ╎    ╎    ╎    ╎    ╎  36 @MathOptInterface/…:379  optimize!(m::Mat…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎   36 @MathOptInterface/…:367  optimize!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    36 @HiGHS/…r.jl:2241  optimize!(model::HiG…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     36 @Base/c.jl:167  disable_sigint
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 36 @HiGHS/…r.jl:2241  #46
35╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  36 @HiGHS/…s.jl:328  Highs_run
  ╎    ╎    ╎    ╎    ╎    10 @SDDP/…ithm.jl:969  iteration(model::SDDP.PolicyG…
  ╎    ╎    ╎    ╎    ╎     10 @SDDP/…ithm.jl:675  backward_pass(model::SDDP.Po…
  ╎    ╎    ╎    ╎    ╎    ╎ 9  @SDDP/…ithm.jl:831  solve_all_children(model::S…
  ╎    ╎    ╎    ╎    ╎    ╎  9  @SDDP/…thm.jl:491  kwcall(::@NamedTuple{dualit…
  ╎    ╎    ╎    ╎    ╎    ╎   1  @SDDP/…thm.jl:503  solve_subproblem(model::SD…
  ╎    ╎    ╎    ╎    ╎    ╎    1  @SDDP/…hm.jl:174  set_incoming_state(node::S…
  ╎    ╎    ╎    ╎    ╎    ╎     1  @JuMP/…es.jl:1220  fix
 1╎    ╎    ╎    ╎    ╎    ╎    ╎ 1  @JuMP/…es.jl:1226  fix(variable::VariableR…
  ╎    ╎    ╎    ╎    ╎    ╎   6  @SDDP/…thm.jl:517  solve_subproblem(model::SD…
  ╎    ╎    ╎    ╎    ╎    ╎    6  @JuMP/…ce.jl:560  optimize!
  ╎    ╎    ╎    ╎    ╎    ╎     6  @JuMP/…ce.jl:609  optimize!(model::Model; i…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 6  @MathOptInterface/…:379  optimize!(m::Math…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎  6  @MathOptInterface/…:367  optimize!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎   6  @HiGHS/…r.jl:2241  optimize!(model::HiGH…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    6  @Base/c.jl:167  disable_sigint
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     6  @HiGHS/…r.jl:2241  #46
 6╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 6  @HiGHS/…s.jl:328  Highs_run
  ╎    ╎    ╎    ╎    ╎    ╎   1  @SDDP/…thm.jl:518  solve_subproblem(model::SD…
  ╎    ╎    ╎    ╎    ╎    ╎    1  @Base/…ck.jl:335  lock(f::SDDP.var"#80#81"{S…
 1╎    ╎    ╎    ╎    ╎    ╎     1  @SDDP/…hm.jl:519  (::SDDP.var"#80#81"{SDDP.…
  ╎    ╎    ╎    ╎    ╎    ╎   1  @SDDP/…thm.jl:535  solve_subproblem(model::SD…
 1╎    ╎    ╎    ╎    ╎    ╎    1  @Base/…le.jl:163  indexed_iterate
  ╎    ╎    ╎    ╎    ╎    ╎ 1  @SDDP/…ithm.jl:854  solve_all_children(model::S…
  ╎    ╎    ╎    ╎    ╎    ╎  1  @JuMP/…les.jl:2920  (::JuMP.var"#unrelax#_rela…
  ╎    ╎    ╎    ╎    ╎    ╎   1  @JuMP/…es.jl:1543  set_binary(v::VariableRef)
  ╎    ╎    ╎    ╎    ╎    ╎    1  @JuMP/…es.jl:1556  _moi_set_binary(moi_backe…
  ╎    ╎    ╎    ╎    ╎    ╎     1  @JuMP/…ts.jl:1016  _moi_add_constraint
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 1  @MathOptInterface/…:566  add_constraint(m:…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎  1  @MathOptInterface/…:2078  add_constraint(…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎   1  @HiGHS/…r.jl:2739  add_constraint
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    1  @HiGHS/…s.jl:1522  Highs_changeColInteg…
  ╎    ╎    ╎    ╎    ╎    35 @SDDP/…ithm.jl:979  iteration(model::SDDP.PolicyG…
  ╎    ╎    ╎    ╎    ╎     35 @SDDP/…ithm.jl:880  kwcall(::@NamedTuple{risk_me…
  ╎    ╎    ╎    ╎    ╎    ╎ 35 @SDDP/…ithm.jl:880  calculate_bound
  ╎    ╎    ╎    ╎    ╎    ╎  35 @SDDP/…thm.jl:920  calculate_bound(model::SDDP…
  ╎    ╎    ╎    ╎    ╎    ╎   35 @SDDP/…thm.jl:491  kwcall(::@NamedTuple{duali…
  ╎    ╎    ╎    ╎    ╎    ╎    35 @SDDP/…hm.jl:517  solve_subproblem(model::SD…
  ╎    ╎    ╎    ╎    ╎    ╎     35 @JuMP/…ce.jl:560  optimize!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 35 @JuMP/…ce.jl:609  optimize!(model::Model; …
  ╎    ╎    ╎    ╎    ╎    ╎    ╎  35 @MathOptInterface/…:379  optimize!(m::Mat…
 1╎    ╎    ╎    ╎    ╎    ╎    ╎   35 @MathOptInterface/…:367  optimize!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    34 @HiGHS/…r.jl:2241  optimize!(model::HiG…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     34 @Base/c.jl:167  disable_sigint
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 34 @HiGHS/…r.jl:2241  #46
34╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  34 @HiGHS/…s.jl:328  Highs_run
  ╎    ╎    ╎    ╎    ╎    7  @SDDP/…ithm.jl:999  iteration(model::SDDP.PolicyG…
  ╎    ╎    ╎    ╎    ╎     7  @SDDP/…ders.jl:92  convergence_test(graph::SDDP.…
  ╎    ╎    ╎    ╎    ╎    ╎ 7  @SDDP/…ules.jl:412  convergence_test(model::SDD…
  ╎    ╎    ╎    ╎    ╎    ╎  7  @SDDP/…les.jl:325  (::SDDP.var"#simulator#203"…
  ╎    ╎    ╎    ╎    ╎    ╎   7  @SDDP/…hm.jl:1540  simulate
  ╎    ╎    ╎    ╎    ╎    ╎    7  @SDDP/…hm.jl:1540  kwcall(::@NamedTuple{samp…
  ╎    ╎    ╎    ╎    ╎    ╎     7  @SDDP/…hm.jl:1551  #simulate#108
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 7  @SDDP/…es.jl:62  _simulate
  ╎    ╎    ╎    ╎    ╎    ╎    ╎  7  @SDDP/…es.jl:70  #_simulate#224
  ╎    ╎    ╎    ╎    ╎    ╎    ╎   7  @Base/…ay.jl:3390  map
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    7  @Base/…ay.jl:763  collect_similar
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     7  @Base/…ay.jl:848  _collect(c::UnitRang…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 7  @Base/…or.jl:48  iterate
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  7  @SDDP/…es.jl:71  #226
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   7  @SDDP/…hm.jl:1334  _simulate
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    7  @SDDP/…hm.jl:1382  _simulate(model…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     7  @SDDP/…hm.jl:491  kwcall(::@Named…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 7  @SDDP/…hm.jl:517  solve_subproble…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 7  @JuMP/…ce.jl:560  optimize!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 7  @JuMP/…ce.jl:609  optimize!(model…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 7  @MathOptInterface/…:379  optimize…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 7  @MathOptInterface/…:367  optimize!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 7  @HiGHS/…r.jl:2241  optimize!(mode…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 7  @Base/c.jl:167  disable_sigint
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 7  @HiGHS/…r.jl:2241  #46
 7╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 7  @HiGHS/…s.jl:328  Highs_run

 -6.546793e+01  3.123727e+00       852   1
        30  -4.000000e+01 -6.546793e+01  1.061178e+01      1314   1

======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile.
--trace-compile is enabled during profile collection.
======================================================================================

cmd: /opt/julia/bin/julia 1 running 0 of 1

signal (10): User defined signal 1
epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404
uv_run at /workspace/srcdir/libuv/src/unix/core.c:430
ijl_task_get_next at /source/src/scheduler.c:457
wait at ./task.jl:1223
wait_forever at ./task.jl:1145
jfptr_wait_forever_57186.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2284 [inlined]
start_task at /source/src/task.c:1281
unknown function (ip: (nil)) at (unknown file)

        40  -4.000000e+01 -6.546793e+01  1.138273e+01      1704   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.138273e+01
total solves   : 1704
best bound     : -6.546793e+01
simulation ci  : -5.991250e+01 ± 5.174250e+00
numeric issues : 0
-------------------------------------------------------------------

[ Info: stochastic_all_blacks.jl

==============================================================
Profile collected. A report will print at the next yield point.
Disabling --trace-compile
==============================================================

┌ Warning: There were no samples collected in one or more groups.
│ This may be due to idle threads, or you may need to run your
│ program longer (perhaps by running it multiple times),
│ or adjust the delay between samples with `Profile.init()`.
└ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1362
Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x00007c4cbec792d0 Total snapshots: 303. Utilization: 0%
   ╎303 @Base/task.jl:1145  wait_forever()
302╎ 303 @Base/task.jl:1223  wait()

-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-25
-------------------------------------------------------------------
problem
  nodes           : 3
  state variables : 2
  scenarios       : 2.70000e+01
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [9, 9]
  AffExpr in MOI.EqualTo{Float64}         : [2, 2]
  AffExpr in MOI.LessThan{Float64}        : [2, 2]
  VariableRef in MOI.EqualTo{Float64}     : [2, 2]
  VariableRef in MOI.GreaterThan{Float64} : [2, 3]
  VariableRef in MOI.LessThan{Float64}    : [3, 3]
  VariableRef in MOI.ZeroOne              : [4, 4]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 6e+00]
  bounds range     [1e+00, 1e+02]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1L  6.000000e+00  1.366667e+01  1.488448e+00        11   1
         7L  6.000000e+00  8.000000e+00  2.602845e+00       158   1
        12L  6.000000e+00  8.000000e+00  3.706461e+00       213   1

[1] signal 15: Terminated
in expression starting at /PkgEval.jl/scripts/evaluate.jl:210
epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404
uv_run at /workspace/srcdir/libuv/src/unix/core.c:430
ijl_task_get_next at /source/src/scheduler.c:457
wait at ./task.jl:1223
wait_forever at ./task.jl:1145
jfptr_wait_forever_57186.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2284 [inlined]
start_task at /source/src/task.c:1281
unknown function (ip: (nil)) at (unknown file)
Allocations: 22442798 (Pool: 22442097; Big: 701); GC: 19

[25] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/stochastic_all_blacks.jl:55
unknown function (ip: 0x771662b04043) at /lib/x86_64-linux-gnu/libc.so.6
unknown function (ip: 0x771662b06e5c) at /lib/x86_64-linux-gnu/libc.so.6
malloc at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
operator new at /workspace/srcdir/gcc-14.2.0/libstdc++-v3/libsupc++/new_op.cc:50
_ZNSt6vectorIdSaIdEEaSERKS1_ at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN7HighsLpaSERKS_ at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN17PresolveComponent4initERK7HighsLpR10HighsTimerb at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN5Highs11runPresolveEbb at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN17HighsLpRelaxation3runEb at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN17HighsLpRelaxation9resolveLpEP11HighsDomain at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN21HighsPrimalHeuristics18randomizedRoundingERKSt6vectorIdSaIdEE at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN18HighsMipSolverData16evaluateRootNodeEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
_ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line)
Highs_run at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/gen/libhighs.jl:328 [inlined]
#46 at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/MOI_wrapper.jl:2241 [inlined]
disable_sigint at ./c.jl:167 [inlined]
optimize! at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/MOI_wrapper.jl:2241
optimize! at /home/pkgeval/.julia/packages/MathOptInterface/tVdNJ/src/Bridges/bridge_optimizer.jl:367 [inlined]
optimize! at /home/pkgeval/.julia/packages/MathOptInterface/tVdNJ/src/Utilities/cachingoptimizer.jl:379
unknown function (ip: 0x7716307357d2) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
#optimize!#96 at /home/pkgeval/.julia/packages/JuMP/vfM5V/src/optimizer_interface.jl:609
optimize! at /home/pkgeval/.julia/packages/JuMP/vfM5V/src/optimizer_interface.jl:560 [inlined]
_solve_primal_problem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/duality_handlers.jl:319
get_dual_solution at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/duality_handlers.jl:287
#solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:535
solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491
unknown function (ip: 0x77162ff9051a) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
solve_all_children at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:831
unknown function (ip: 0x771630317348) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
backward_pass at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:675
unknown function (ip: 0x771630749f08) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:969
#master_loop##0 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50
disable_sigint at ./c.jl:167 [inlined]
master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49
unknown function (ip: 0x771630737921) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
#train#91 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291
train at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined]
stochastic_all_blacks at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/stochastic_all_blacks.jl:50
unknown function (ip: 0x77162ff8d4df) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2284 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:679
jl_interpret_toplevel_thunk at /source/src/interpreter.c:884
jl_toplevel_eval_flex at /source/src/toplevel.c:742
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
include_string at ./loading.jl:2994
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3054
include at ./Base.jl:310
IncludeInto at ./Base.jl:311 [inlined]
macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined]
util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14
util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10
unknown function (ip: 0x771630712452) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2284 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:679
eval_body at /source/src/interpreter.c:550
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
jl_interpret_toplevel_thunk at /source/src/interpreter.c:884
jl_toplevel_eval_flex at /source/src/toplevel.c:742
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
include_string at ./loading.jl:2994
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3054
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_36779.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2284 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:679
jl_interpret_toplevel_thunk at /source/src/interpreter.c:884
jl_toplevel_eval_flex at /source/src/toplevel.c:742
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
exec_options at ./client.jl:310
_start at ./client.jl:577
jfptr__start_63030.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2284 [inlined]
true_main at /source/src/jlapi.c:971
jl_repl_entrypoint at /source/src/jlapi.c:1138
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x771662a96249) at /lib/x86_64-linux-gnu/libc.so.6
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S
unknown function (ip: (nil)) at (unknown file)
Allocations: 609024274 (Pool: 609020644; Big: 3630); GC: 135

PkgEval terminated after 2723.21s: test duration exceeded the time limit