Package evaluation of SDDP on Julia 1.13.0-DEV.888 (0e1aa6c7eb*) started at 2025-07-22T19:36:33.052


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 11.22s


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

Installing SDDP...
   Resolving package versions...
   Installed DiffResults ────────── v1.1.0
   Installed CodecZlib ──────────── v0.7.8
   Installed ForwardDiff ────────── v1.0.1
   Installed Bzip2_jll ──────────── v1.0.9+0
   Installed ConcurrentUtilities ── v2.5.0
   Installed URIs ───────────────── v1.6.1
   Installed MacroTools ─────────── v0.5.16
   Installed DataStructures ─────── v0.18.22
   Installed ExceptionUnwrapping ── v0.1.11
   Installed ExprTools ──────────── v0.1.10
   Installed Compat ─────────────── v4.17.0
   Installed OrderedCollections ─── v1.8.1
   Installed Statistics ─────────── v1.11.1
   Installed TranscodingStreams ─── v0.11.3
   Installed RecipesBase ────────── v1.3.4
   Installed StaticArraysCore ───── v1.4.3
   Installed LoggingExtras ──────── v1.1.0
   Installed CommonSubexpressions ─ v0.3.1
   Installed OpenSSL ────────────── v1.5.0
   Installed TimerOutputs ───────── v0.5.29
   Installed PrecompileTools ────── v1.3.2
   Installed MbedTLS ────────────── v1.1.9
   Installed IrrationalConstants ── v0.2.4
   Installed CodecBzip2 ─────────── v0.8.5
   Installed NaNMath ────────────── v1.1.3
   Installed OpenSpecFun_jll ────── v0.5.6+0
   Installed JSON3 ──────────────── v1.14.3
   Installed HTTP ───────────────── v1.10.17
   Installed DiffRules ──────────── v1.15.1
   Installed BitFlags ───────────── v0.1.9
   Installed LogExpFunctions ────── v0.3.29
   Installed JSON ───────────────── v0.21.4
   Installed JuMP ───────────────── v1.27.0
   Installed Parsers ────────────── v2.8.3
   Installed Reexport ───────────── v1.2.2
   Installed SpecialFunctions ───── v2.5.1
   Installed SimpleBufferStream ─── v1.2.0
   Installed Preferences ────────── v1.4.3
   Installed MbedTLS_jll ────────── v2.28.6+2
   Installed MutableArithmetics ─── v1.6.4
   Installed JLLWrappers ────────── v1.7.0
   Installed StructTypes ────────── v1.11.0
   Installed BenchmarkTools ─────── v1.6.0
   Installed DocStringExtensions ── v0.9.5
   Installed SDDP ───────────────── v1.12.0
   Installed MathOptInterface ───── v1.42.0
  Installing 3 artifacts
   Installed artifact OpenSpecFun 194.9 KiB
   Installed artifact Bzip2       503.5 KiB
   Installed artifact MbedTLS     2.1 MiB
    Updating `~/.julia/environments/v1.13/Project.toml`
  [f4570300] + SDDP v1.12.0
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [6e4b80f9] + BenchmarkTools v1.6.0
  [d1d4a3ce] + BitFlags v0.1.9
  [523fee87] + CodecBzip2 v0.8.5
  [944b1d66] + CodecZlib v0.7.8
  [bbf7d656] + CommonSubexpressions v0.3.1
  [34da2185] + Compat v4.17.0
  [f0e56b4a] + ConcurrentUtilities v2.5.0
  [864edb3b] + DataStructures v0.18.22
  [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 v1.0.1
  [cd3eb016] + HTTP v1.10.17
  [92d709cd] + IrrationalConstants v0.2.4
  [692b3bcd] + JLLWrappers v1.7.0
  [682c06a0] + JSON v0.21.4
  [0f8b85d8] + JSON3 v1.14.3
  [4076af6c] + JuMP v1.27.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.1.0
  [1914dd2f] + MacroTools v0.5.16
  [b8f27783] + MathOptInterface v1.42.0
  [739be429] + MbedTLS v1.1.9
  [d8a4904e] + MutableArithmetics v1.6.4
  [77ba4419] + NaNMath v1.1.3
  [4d8831e6] + OpenSSL v1.5.0
  [bac558e1] + OrderedCollections v1.8.1
  [69de0a69] + Parsers v2.8.3
  [aea7be01] + PrecompileTools v1.3.2
  [21216c6a] + Preferences v1.4.3
  [3cdcf5f2] + RecipesBase v1.3.4
  [189a3867] + Reexport v1.2.2
  [f4570300] + SDDP v1.12.0
  [777ac1f9] + SimpleBufferStream v1.2.0
  [276daf66] + SpecialFunctions v2.5.1
  [1e83bf80] + StaticArraysCore v1.4.3
  [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 v2.28.6+2
  [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 v0.7.0
  [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 v2025.7.15
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.5.1+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.13.1+0

Installation completed after 9.17s


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# Precompilation
#

Precompiling PkgEval dependencies...
Precompiling packages...
   5053.7 ms  ✓ TestEnv
  1 dependency successfully precompiled in 5 seconds. 26 already precompiled.

Precompiling package dependencies...

Precompilation completed after 904.01s


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# Testing
#

     Testing SDDP
      Status `/tmp/jl_5xUMtG/Project.toml`
  [87dc4568] HiGHS v1.18.2
  [b6b21f68] Ipopt v1.10.6
  [682c06a0] JSON v0.21.4
  [7d188eb4] JSONSchema v1.4.1
  [91a5bcdd] Plots v1.40.17
  [f4570300] SDDP v1.12.0
  [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_5xUMtG/Manifest.toml`
  [66dad0bd] AliasTables v1.1.3
  [6e4b80f9] BenchmarkTools v1.6.0
  [d1d4a3ce] BitFlags v0.1.9
  [523fee87] CodecBzip2 v0.8.5
  [944b1d66] CodecZlib v0.7.8
  [35d6a980] ColorSchemes v3.30.0
  [3da002f7] ColorTypes v0.12.1
  [c3611d14] ColorVectorSpace v0.11.0
  [5ae59095] Colors v0.13.1
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.17.0
  [f0e56b4a] ConcurrentUtilities v2.5.0
  [d38c429a] Contour v0.6.3
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.22
  [8bb1440f] DelimitedFiles v1.9.1
  [163ba53b] DiffResults v1.1.0
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  [ffbed154] DocStringExtensions v0.9.5
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  [c87230d0] FFMPEG v0.4.2
  [53c48c17] FixedPointNumbers v0.8.5
  [1fa38f19] Format v1.3.7
  [f6369f11] ForwardDiff v1.0.1
  [28b8d3ca] GR v0.73.17
  [42e2da0e] Grisu v1.0.2
  [cd3eb016] HTTP v1.10.17
  [87dc4568] HiGHS v1.18.2
  [b6b21f68] Ipopt v1.10.6
  [92d709cd] IrrationalConstants v0.2.4
  [1019f520] JLFzf v0.1.11
  [692b3bcd] JLLWrappers v1.7.0
  [682c06a0] JSON v0.21.4
  [0f8b85d8] JSON3 v1.14.3
  [7d188eb4] JSONSchema v1.4.1
  [4076af6c] JuMP v1.27.0
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.8
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.1.0
  [1914dd2f] MacroTools v0.5.16
  [b8f27783] MathOptInterface v1.42.0
  [739be429] MbedTLS v1.1.9
  [442fdcdd] Measures v0.3.2
  [e1d29d7a] Missings v1.2.0
  [d8a4904e] MutableArithmetics v1.6.4
  [77ba4419] NaNMath v1.1.3
  [4d8831e6] OpenSSL v1.5.0
  [bac558e1] OrderedCollections v1.8.1
  [69de0a69] Parsers v2.8.3
  [ccf2f8ad] PlotThemes v3.3.0
  [995b91a9] PlotUtils v1.4.3
  [91a5bcdd] Plots v1.40.17
  [aea7be01] PrecompileTools v1.3.2
  [21216c6a] Preferences v1.4.3
  [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 v1.12.0
  [6c6a2e73] Scratch v1.3.0
  [992d4aef] Showoff v1.0.3
  [777ac1f9] SimpleBufferStream v1.2.0
  [a2af1166] SortingAlgorithms v1.2.1
  [276daf66] SpecialFunctions v2.5.1
  [860ef19b] StableRNGs v1.0.3
  [1e83bf80] StaticArraysCore v1.4.3
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.5
  [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
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  [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
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  [2702e6a9] EpollShim_jll v0.0.20230411+1
  [2e619515] Expat_jll v2.6.5+0
⌅ [b22a6f82] FFMPEG_jll v4.4.4+1
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  [8fd58aa0] HiGHS_jll v1.11.0+1
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  [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
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  [38a345b3] Libuuid_jll v2.41.0+0
  [d00139f3] METIS_jll v5.1.3+0
  [d7ed1dd3] MUMPS_seq_jll v500.800.0+0
  [c8ffd9c3] MbedTLS_jll v2.28.6+2
  [e7412a2a] Ogg_jll v1.3.6+0
  [656ef2d0] OpenBLAS32_jll v0.3.29+0
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  [91d4177d] Opus_jll v1.5.2+0
  [36c8627f] Pango_jll v1.56.3+0
⌅ [30392449] Pixman_jll v0.44.2+0
  [c0090381] Qt6Base_jll v6.8.2+1
  [629bc702] Qt6Declarative_jll v6.8.2+1
  [ce943373] Qt6ShaderTools_jll v6.8.2+1
  [e99dba38] Qt6Wayland_jll v6.8.2+1
  [319450e9] SPRAL_jll v2025.5.20+0
  [a44049a8] Vulkan_Loader_jll v1.3.243+0
  [a2964d1f] Wayland_jll v1.24.0+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 v6.0.1+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
  [c7cfdc94] Xorg_libxcb_jll v1.17.1+0
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  [e920d4aa] Xorg_xcb_util_cursor_jll v0.1.5+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
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  [214eeab7] fzf_jll v0.61.1+0
  [a4ae2306] libaom_jll v3.12.1+0
⌅ [0ac62f75] libass_jll v0.15.2+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
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  [f27f6e37] libvorbis_jll v1.3.8+0
  [009596ad] mtdev_jll v1.1.7+0
⌅ [1270edf5] x264_jll v2021.5.5+0
⌅ [dfaa095f] x265_jll v3.5.0+0
  [d8fb68d0] xkbcommon_jll v1.9.2+0
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  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
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  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
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  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.7.15
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  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.5.1+0
  [efcefdf7] PCRE2_jll v10.45.0+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 v5.13.1+0
  [8e850ede] nghttp2_jll v1.65.0+0
  [3f19e933] p7zip_jll v17.5.0+2
        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: MSPFormat.jl
[ Info: algorithm.jl
┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph.
└ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:391
[ 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  3.456380e-01         4   1
         3   0.000000e+00  0.000000e+00  8.871200e-01        12   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 8.871200e-01
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  2.333784e-02         9   1
        20   7.500000e+04  1.075000e+05  7.517440e-01       204   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 7.517440e-01
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/She2h/src/algorithm.jl:1170
┌ 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/She2h/src/algorithm.jl:1170
[ 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/She2h/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  1.064167e+00        12   1
        10   2.500000e+00  3.361111e+01  1.090441e+00       120   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.090441e+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  1.618290e-02        12   1
        10   2.500000e+00  3.361111e+01  4.031086e-02       120   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 4.031086e-02
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  1.040506e-02        46   1
        50   0.000000e+00  1.191663e+02  5.623140e-01      1625   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 5.623140e-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  1.095796e-02        46   1
        50   0.000000e+00  1.191663e+02  5.549040e-01      1625   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 5.549040e-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  3.784116e+00       103   1
         3S -5.785826e+01 -6.755367e+01  6.577186e+00       309   1
         4S -6.230988e+01 -6.688020e+01  7.662843e+00       412   1
         6S -6.064080e+01 -6.678327e+01  8.875001e+00       618   1
         7S -6.493167e+01 -6.677772e+01  9.969924e+00       721   1
        17S -6.068889e+01 -6.677644e+01  1.609011e+01      1751   1
        27S -6.068889e+01 -6.677644e+01  2.223873e+01      2781   1
        37S -7.668889e+01 -6.677644e+01  2.840679e+01      3811   1
        47S -5.768889e+01 -6.677644e+01  3.454715e+01      4841   1
        56  -8.368889e+01 -6.677644e+01  3.954775e+01      5768   1
        65S -4.168889e+01 -6.677644e+01  4.563499e+01      6695   1
        75S -8.368889e+01 -6.677644e+01  5.177678e+01      7725   1
        85S -6.068889e+01 -6.677644e+01  5.794845e+01      8755   1
        95S -6.468889e+01 -6.677644e+01  6.408951e+01      9785   1
       100  -8.368889e+01 -6.677644e+01  6.657340e+01     10300   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.657340e+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
┌ 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/She2h/src/algorithm.jl:1170
[ 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  3.125250e+02         2   3
        20   3.000000e+00  6.000000e+00  3.166117e+02        40   2
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 3.166117e+02
total solves   : 40
best bound     :  6.000000e+00
simulation ci  :  6.000000e+00 ± 1.005459e+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/She2h/src/algorithm.jl:1170
-------------------------------------------------------------------
         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  2.628710e-01        48   1
        20   9.000000e+00  6.000000e+00  5.290360e-01       162   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 5.290360e-01
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/She2h/src/plugins/risk_measures.jl:528
┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead.
└ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528
┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead.
└ @ SDDP ~/.julia/packages/SDDP/She2h/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  5.771160e-03         4   1
        50   0.000000e+00  0.000000e+00  2.395630e-01       200   1
-------------------------------------------------------------------
status         : first_stage_stopping
total time (s) : 2.395630e-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/She2h/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/She2h/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/She2h/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/She2h/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/v1.13/Test/src/Test.jl:741 [inlined]
   [2] test_SpaghettiPlot()
     @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49
   [3] macro expansion
     @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined]
   [4] macro expansion
     @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined]
   [5] runtests()
     @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/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/She2h/test/visualization/visualization.jl:51

test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/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/v1.13/Test/src/Test.jl:741 [inlined]
   [2] test_SpaghettiPlot()
     @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:55
   [3] macro expansion
     @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined]
   [4] macro expansion
     @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined]
   [5] runtests()
     @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/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  6.778128e+00         5   1
        20   0.000000e+00 -1.000000e+01  7.372296e+00       104   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 7.372296e+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  2.262402e-02        52   1
        10  -2.396000e+01 -2.396000e+01  3.112102e-02        92   1
        15  -4.260000e+01 -2.396000e+01  3.976607e-02       132   1
        20  -2.396000e+01 -2.396000e+01  4.963803e-02       172   1
        25  -5.320000e+00 -2.396000e+01  6.207299e-02       224   1
        30  -5.320000e+00 -2.396000e+01  7.335496e-02       264   1
        35  -2.396000e+01 -2.396000e+01  8.564496e-02       304   1
        40  -2.396000e+01 -2.396000e+01  9.868288e-02       344   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 9.868288e-02
total solves   : 344
best bound     : -2.396000e+01
simulation ci  : -1.868714e+01 ± 3.990349e+00
numeric issues : 0
-------------------------------------------------------------------

────────────────────────────────────────────────────────────────────────────────────
                                           Time                    Allocations      
                                  ───────────────────────   ────────────────────────
        Tot / % measured:              400ms /  22.0%           12.4MiB /  62.1%    

Section                   ncalls     time    %tot     avg     alloc    %tot      avg
────────────────────────────────────────────────────────────────────────────────────
backward_pass                 40   51.6ms   58.6%  1.29ms   5.76MiB   74.6%   147KiB
  solve_subproblem           160   28.2ms   32.0%   176μs    828KiB   10.5%  5.18KiB
    get_dual_solution        160   1.31ms    1.5%  8.20μs    180KiB    2.3%  1.12KiB
  prepare_backward_pass      160   59.0μs    0.1%   369ns     0.00B    0.0%    0.00B
forward_pass                  40   25.8ms   29.4%   646μs   1.75MiB   22.7%  44.8KiB
  solve_subproblem           120   24.0ms   27.2%   200μs   1.58MiB   20.4%  13.4KiB
    get_dual_solution        120   99.2μs    0.1%   827ns   13.1KiB    0.2%     112B
  sample_scenario             40    346μs    0.4%  8.66μs   24.2KiB    0.3%     620B
calculate_bound               40   10.6ms   12.0%   264μs    215KiB    2.7%  5.38KiB
  get_dual_solution           40   39.7μs    0.0%   992ns   4.38KiB    0.1%     112B
get_dual_solution             36   27.0μs    0.0%   749ns   3.94KiB    0.0%     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  5.471420e-02        52   1
        10  -2.396000e+01 -2.396000e+01  6.363106e-02        92   1
        15  -2.396000e+01 -2.396000e+01  7.417417e-02       132   1
        20  -4.260000e+01 -2.396000e+01  8.620405e-02       172   1
        25  -5.320000e+00 -2.396000e+01  1.020091e-01       224   1
        30  -2.396000e+01 -2.396000e+01  1.173592e-01       264   1
        35  -2.396000e+01 -2.396000e+01  1.349082e-01       304   1
        40  -5.320000e+00 -2.396000e+01  1.549351e-01       344   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.549351e-01
total solves   : 344
best bound     : -2.396000e+01
simulation ci  : -2.237170e+01 ± 4.300524e+00
numeric issues : 0
-------------------------------------------------------------------

────────────────────────────────────────────────────────────────────────────────────
                                           Time                    Allocations      
                                  ───────────────────────   ────────────────────────
        Tot / % measured:              162ms /  88.7%           14.9MiB /  94.0%    

Section                   ncalls     time    %tot     avg     alloc    %tot      avg
────────────────────────────────────────────────────────────────────────────────────
backward_pass                 40    107ms   74.5%  2.68ms   12.0MiB   85.9%   308KiB
  solve_subproblem           160   27.9ms   19.4%   174μs    830KiB    5.8%  5.19KiB
    get_dual_solution        160   1.39ms    1.0%  8.68μs    180KiB    1.3%  1.12KiB
  prepare_backward_pass      160   69.4μs    0.0%   434ns     0.00B    0.0%    0.00B
forward_pass                  40   25.1ms   17.4%   628μs   1.75MiB   12.5%  44.8KiB
  solve_subproblem           120   22.9ms   15.9%   191μs   1.58MiB   11.3%  13.4KiB
    get_dual_solution        120    103μs    0.1%   858ns   13.1KiB    0.1%     112B
  sample_scenario             40    464μs    0.3%  11.6μs   24.3KiB    0.2%     623B
calculate_bound               40   11.6ms    8.0%   290μs    217KiB    1.5%  5.42KiB
  get_dual_solution           40   49.6μs    0.0%  1.24μs   4.38KiB    0.0%     112B
get_dual_solution             36   31.8μs    0.0%   883ns   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  1.670160e-01         5   1
         2  -2.500000e+00 -2.000000e+00  1.689661e-01        14   1
         3  -1.000000e+00 -2.000000e+00  1.698790e-01        19   1
         4  -1.000000e+00 -2.000000e+00  1.706569e-01        24   1
         5  -1.000000e+00 -2.000000e+00  1.714230e-01        29   1
         6  -3.000000e+00 -2.000000e+00  1.721921e-01        34   1
         7  -1.000000e+00 -2.000000e+00  1.729929e-01        39   1
         8  -1.000000e+00 -2.000000e+00  1.738310e-01        44   1
         9  -3.000000e+00 -2.000000e+00  1.746819e-01        49   1
        10  -1.000000e+00 -2.000000e+00  1.754780e-01        54   1
        11  -3.000000e+00 -2.000000e+00  1.762590e-01        59   1
        12  -3.000000e+00 -2.000000e+00  1.771080e-01        64   1
        13  -1.000000e+00 -2.000000e+00  1.779630e-01        69   1
        14  -1.000000e+00 -2.000000e+00  1.788049e-01        74   1
        15  -3.000000e+00 -2.000000e+00  1.797130e-01        79   1
        16  -1.000000e+00 -2.000000e+00  1.806319e-01        84   1
        17  -3.000000e+00 -2.000000e+00  1.815450e-01        89   1
        18  -3.000000e+00 -2.000000e+00  1.824040e-01        94   1
        19  -1.000000e+00 -2.000000e+00  1.833639e-01        99   1
        20  -3.000000e+00 -2.000000e+00  1.842899e-01       104   1
        21  -1.000000e+00 -2.000000e+00  1.858630e-01       113   1
        22  -1.000000e+00 -2.000000e+00  1.867719e-01       118   1
        23  -3.000000e+00 -2.000000e+00  1.876779e-01       123   1
        24  -3.000000e+00 -2.000000e+00  1.885960e-01       128   1
        25  -1.000000e+00 -2.000000e+00  1.895080e-01       133   1
        26  -3.000000e+00 -2.000000e+00  1.905010e-01       138   1
        27  -3.000000e+00 -2.000000e+00  1.916249e-01       143   1
        28  -1.000000e+00 -2.000000e+00  1.926780e-01       148   1
        29  -3.000000e+00 -2.000000e+00  1.938031e-01       153   1
        30  -3.000000e+00 -2.000000e+00  1.948640e-01       158   1
        31  -1.000000e+00 -2.000000e+00  1.959400e-01       163   1
        32  -1.000000e+00 -2.000000e+00  1.969829e-01       168   1
        33  -1.000000e+00 -2.000000e+00  1.980529e-01       173   1
        34  -3.000000e+00 -2.000000e+00  1.991289e-01       178   1
        35  -1.000000e+00 -2.000000e+00  2.002130e-01       183   1
        36  -3.000000e+00 -2.000000e+00  2.013230e-01       188   1
        37  -1.000000e+00 -2.000000e+00  2.024391e-01       193   1
        38  -1.000000e+00 -2.000000e+00  2.035279e-01       198   1
        39  -1.000000e+00 -2.000000e+00  2.046330e-01       203   1
        40  -1.000000e+00 -2.000000e+00  2.057741e-01       208   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 2.057741e-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  2.689130e-01        51   1
        24   2.178733e+02  2.251256e+02  1.431375e+00      3972   1
        30   2.138334e+03  2.336430e+02  3.117273e+00      7674   1
        37   2.591724e+01  2.349207e+02  4.135797e+00      9459   1
        42   8.695951e+02  2.357672e+02  5.324982e+00     11586   1
        53   1.403040e+02  2.360578e+02  6.337084e+00     13251   1
        63   1.493193e+03  2.362190e+02  8.077461e+00     15909   1
        72   1.044387e+02  2.362973e+02  9.185947e+00     17364   1
        98   5.715017e+02  2.364082e+02  1.438256e+01     23094   1
       100   4.969839e+02  2.364135e+02  1.521890e+01     23928   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.521890e+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  8.241360e-01      1400   1
        20  -4.764789e+00 -4.394789e+00  1.113484e+00      2800   1
        30  -4.672487e+00 -4.377000e+00  1.426966e+00      4200   1
        40  -4.483495e+00 -4.370632e+00  1.746304e+00      5600   1
        50  -4.167321e+00 -4.364999e+00  2.082057e+00      7000   1
        60  -4.362455e+00 -4.358864e+00  2.420099e+00      8400   1
        70  -4.849916e+00 -4.355337e+00  2.785192e+00      9800   1
        80  -4.861568e+00 -4.353006e+00  3.161007e+00     11200   1
        90  -4.268264e+00 -4.350407e+00  3.538402e+00     12600   1
       100  -4.539897e+00 -4.348641e+00  3.916189e+00     14000   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 3.916189e+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  3.784921e-01      1050   1
        20  -1.529197e+00 -1.471817e+00  4.600892e-01      1600   1
        30  -1.410768e+00 -1.471408e+00  6.520152e-01      2650   1
        40  -1.596461e+00 -1.471258e+00  7.346611e-01      3200   1
        50  -1.002277e+00 -1.471216e+00  9.274712e-01      4250   1
        60  -1.085156e+00 -1.471164e+00  1.015911e+00      4800   1
        70  -1.391746e+00 -1.471164e+00  1.210591e+00      5850   1
        80  -1.448703e+00 -1.471132e+00  1.308924e+00      6400   1
        90  -1.488989e+00 -1.471087e+00  1.506920e+00      7450   1
       100  -1.564260e+00 -1.471075e+00  1.622603e+00      8000   1
       110  -1.738157e+00 -1.471075e+00  1.733944e+00      8550   1
       120  -1.591292e+00 -1.471075e+00  1.852744e+00      9100   1
       130  -1.271481e+00 -1.471075e+00  1.969623e+00      9650   1
       140  -1.249746e+00 -1.471075e+00  2.093496e+00     10200   1
       150  -1.536222e+00 -1.471075e+00  2.223682e+00     10750   1
       160  -1.565422e+00 -1.471075e+00  2.354877e+00     11300   1
       170  -1.631076e+00 -1.471075e+00  2.488682e+00     11850   1
       180  -1.494909e+00 -1.471075e+00  2.619625e+00     12400   1
       182  -9.083563e-01 -1.471075e+00  2.642814e+00     12510   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 2.642814e+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  2.330184e-02        54   1
        20   3.336455e+05  3.402383e+05  3.777003e-02       104   1
        30   3.993519e+05  3.403155e+05  5.114889e-02       158   1
        40   3.337559e+05  3.403155e+05  6.273699e-02       208   1
        48   3.337559e+05  3.403155e+05  7.439685e-02       248   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 7.439685e-02
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  3.967786e-02        92   1
        20   4.506600e+05  4.054833e+05  6.462884e-02       172   1
        30   3.959476e+05  4.067125e+05  8.861780e-02       264   1
        40   4.497721e+05  4.067125e+05  1.115129e-01       344   1
        47   3.959476e+05  4.067125e+05  1.294990e-01       400   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.294990e-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  6.028975e+00        14   1
        40   2.308500e+03  4.074139e+03  6.821890e+00       776   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 6.821890e+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  2.130343e+00         8   1
         6L  4.000000e+04  6.250000e+04  3.183794e+00        60   1
        16L  6.000000e+04  6.250000e+04  4.373771e+00       140   1
        20L  6.000000e+04  6.250000e+04  5.073460e+00       172   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 5.073460e+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  1.366782e-02         8   1
        16   4.000000e+04  6.250000e+04  1.043295e+00       140   1
        20   4.000000e+04  6.250000e+04  1.309847e+00       172   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.309847e+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  5.114603e-02         5   1
        10   4.000000e+04  6.250000e+04  6.828690e-01        50   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.828690e-01
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  3.081980e-01         6   1
        20L  9.000000e+00  9.000000e+00  4.094570e-01       123   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 4.094570e-01
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  9.459679e-01        87   1
        10  -1.109375e+01  2.605769e-01  9.562349e-01       142   1
        15   3.105797e+00  5.434132e-01  9.662001e-01       197   1
        20  -2.463349e+01  1.503415e+00  9.770370e-01       252   1
        25  -1.421085e-14  1.514085e+00  9.907060e-01       307   1
        30   4.864000e+01  1.514085e+00  2.929192e+00       394   1
        35   4.864000e+01  1.514085e+00  2.940530e+00       449   1
        40  -8.870299e+00  1.514085e+00  2.952709e+00       504   1
        45  -1.428571e+00  1.514085e+00  2.966029e+00       559   1
        48  -1.428571e+00  1.514085e+00  2.975161e+00       592   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 2.975161e+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  8.584230e-01       278   1
        20   1.440356e+01  1.278425e+00  8.958201e-01       428   1
        30   8.388546e+00  1.278425e+00  9.602821e-01       706   1
        40   6.666667e-03  1.278410e+00  9.986410e-01       856   1
        50  -5.614035e+00  1.278410e+00  1.060924e+00      1134   1
        60   1.426676e+01  1.278410e+00  1.107968e+00      1284   1
        64   1.261296e+01  1.278410e+00  1.127782e+00      1344   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.127782e+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  9.069300e-02       278   1
        20   1.111084e+01  1.278410e+00  1.456540e-01       428   1
        30   2.293779e+01  1.278410e+00  2.260320e-01       706   1
        40   1.426676e+01  1.278410e+00  3.073618e-01       856   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 3.073618e-01
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  5.463471e+00       900   1
        20   6.374753e+00  1.361934e+01  5.779760e+00      1720   1
        30   2.848217e+01  1.624016e+01  6.476356e+00      3036   1
        40   1.973944e+01  1.776547e+01  7.479837e+00      4192   1
        50   4.000000e+00  1.889360e+01  7.953586e+00      5020   1
        60   1.142478e+01  1.907862e+01  8.827623e+00      5808   1
        70   9.386421e+00  1.961295e+01  9.695870e+00      6540   1
        80   5.667851e+01  1.890911e+01  1.027953e+01      7088   1
        90   3.740597e+01  1.993139e+01  1.148205e+01      8180   1
       100   9.867183e+00  2.001688e+01  1.199197e+01      8664   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.199197e+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  2.774609e+00        36   1
        10   0.000000e+00  0.000000e+00  2.813065e+00       360   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 2.813065e+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  6.320953e-03       407   1
        10   2.850000e+02  5.728212e+02  5.845213e-02       731   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 5.845213e-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  6.029129e-03       778   1
        10   2.825000e+02  3.465177e+02  6.133795e-02      1102   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.133795e-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  6.315947e-03      1149   1
        10   2.587500e+02  2.052799e+02  5.942893e-02      1473   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 5.942893e-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  6.850958e-03      1520   1
        10   2.875000e+02  4.661908e+02  6.841898e-02      1844   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.841898e-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  6.770849e-03      1891   1
        10   1.000000e+02  1.129771e+02  1.037419e-01      2215   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 1.037419e-01
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  6.996155e-03      2262   1
        10   1.625000e+02  2.794553e+02  6.376815e-02      2586   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.376815e-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  7.259846e-03      2633   1
        10   5.487500e+02  4.077574e+02  6.971502e-02      2957   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.971502e-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  8.301020e-03      3004   1
        10   6.771875e+02  5.210100e+02  7.182813e-02      3328   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 7.182813e-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  7.362127e-03      3375   1
        10   5.312500e+01  5.938345e+01  6.063700e-02      3699   1
-------------------------------------------------------------------
status         : iteration_limit
total time (s) : 6.063700e-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  1.272179e+00       235   1
        10   1.000000e+01  9.159200e+00  1.760255e+00       310   1
        15   1.000000e+01  9.159200e+00  2.285159e+00       385   1
        20   1.000000e+01  9.159200e+00  2.791789e+00       460   1
        25   1.000000e+01  9.159200e+00  5.632218e+00       695   1
        30   4.000000e+00  9.159200e+00  6.112863e+00       770   1
        35   1.000000e+01  9.159200e+00  6.581857e+00       845   1
        40   1.000000e+01  9.159200e+00  7.122197e+00       920   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 7.122197e+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  1.371941e+00       510   1
        20   1.000000e+01  6.834387e+00  3.058302e+00       720   1
        30   7.000000e+00  6.834387e+00  6.973007e+00      1230   1
        40   1.000000e+01  6.823805e+00  8.610362e+00      1440   1
        50   3.000000e+00  6.823805e+00  1.263798e+01      1950   1
        60   2.000000e+00  6.823805e+00  1.424198e+01      2160   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.424198e+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  1.389614e+01       920   1
        20   6.049875e+06  2.075240e+06  1.681017e+01      1340   1
        30   5.496647e+05  2.078257e+06  2.985980e+01      2260   1
        40   3.985383e+04  2.078257e+06  3.253712e+01      2680   1
        50   2.994548e+05  2.078257e+06  4.558026e+01      3600   1
        60   3.799457e+06  2.078257e+06  4.847814e+01      4020   1
        61   3.549665e+06  2.078257e+06  4.875440e+01      4062   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 4.875440e+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  3.416007e+01       920   1
        20L  2.799668e+06  2.079457e+06  5.587213e+01      1340   1
        30L  3.799443e+06  2.079457e+06  8.874621e+01      2260   1
        40L  4.299882e+06  2.079457e+06  1.109169e+02      2680   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 1.109169e+02
total solves   : 2680
best bound     :  2.079457e+06
simulation ci  :  1.602238e+06 ± 4.944385e+05
numeric issues : 0
-------------------------------------------------------------------

[ Info: hydro_valley.jl

======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile
======================================================================================

cmd: /opt/julia/bin/julia 1044 running 1 of 1

signal (10): User defined signal 1
apply_cl at /source/src/flisp/flisp.c:1680
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2204 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1224
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
_applyn at /source/src/flisp/flisp.c:679
fl_map1 at /source/src/flisp/flisp.c:2217 [inlined]
fl_map1 at /source/src/flisp/flisp.c:2192
apply_cl at /source/src/flisp/flisp.c:1174
do_trycatch at /source/src/flisp/flisp.c:895
apply_cl at /source/src/flisp/flisp.c:1804
do_trycatch at /source/src/flisp/flisp.c:895
apply_cl at /source/src/flisp/flisp.c:1804
_applyn at /source/src/flisp/flisp.c:679
fl_applyn at /source/src/flisp/flisp.c:719
jl_fl_lower at /source/src/ast.c:1290
fl_lower at ./flfrontend.jl:24
jfptr_fl_lower_64476.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [inlined]
ijl_lower at /source/src/ast.c:1350
jl_toplevel_eval_flex at /source/src/toplevel.c:710
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2848
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
_include at ./loading.jl:2908
include at ./Base.jl:310
IncludeInto at ./Base.jl:311 [inlined]
macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined]
util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:14
util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10
unknown function (ip: 0x733c3ff99872) at (unknown file)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [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:708
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:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2848
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
_include at ./loading.jl:2908
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_56592.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [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:708
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
exec_options at ./client.jl:286
_start at ./client.jl:553
jfptr__start_63823.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [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: 0x733c6972f249) 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)

==============================================================
Profile collected. A report will print at the next yield point
==============================================================


======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile
======================================================================================

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:1192
wait_forever at ./task.jl:1129
jfptr_wait_forever_47924.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [inlined]
start_task at /source/src/task.c:1249
unknown function (ip: (nil)) at (unknown file)

==============================================================
Profile collected. A report will print at the next yield point
==============================================================

┌ 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/v1.13/Profile/src/Profile.jl:1362
Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x00007e3e17db01f0 Total snapshots: 372. Utilization: 0%
   ╎372 @Base/task.jl:1129  wait_forever()
371╎ 372 @Base/task.jl:1192  wait()

┌ 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/v1.13/Profile/src/Profile.jl:1362
Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x0000733c4f400010 Total snapshots: 117. Utilization: 100%
  ╎114 @Base/client.jl:553  _start()
  ╎ 114 @Base/client.jl:286  exec_options(opts::Base.JLOptions)
  ╎  114 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎   114 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
  ╎    114 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, _path::St…
  ╎     114 @Base/loading.jl:2908  _include(mapexpr::Function, mod::Module, _pa…
  ╎    ╎ 114 @Base/loading.jl:2848  include_string(mapexpr::typeof(identity), m…
  ╎    ╎  114 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎    ╎   114 …2h/test/runtests.jl:10  util_test_directory(dir::String)
  ╎    ╎    114 …h/test/runtests.jl:14  util_test_directory(dir::String, exclud…
  ╎    ╎     114 @Test/src/Test.jl:1858  macro expansion
  ╎    ╎    ╎ 114 …h/test/runtests.jl:16  macro expansion
  ╎    ╎    ╎  114 @Base/Base.jl:311  IncludeInto
  ╎    ╎    ╎   114 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, …
  ╎    ╎    ╎    114 @Base/loading.jl:2908  _include(mapexpr::Function, mod::Mo…
  ╎    ╎    ╎     114 @Base/loading.jl:2848  include_string(mapexpr::typeof(ide…
 2╎    ╎    ╎    ╎ 114 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎    ╎    ╎    ╎  78  @Compiler/…er.jl:1570  typeinf_ext_toplevel(mi::Core.Me…
  ╎    ╎    ╎    ╎   78  @Compiler/…er.jl:1561  typeinf_ext_toplevel
  ╎    ╎    ╎    ╎    78  @Compiler/…er.jl:1378  typeinf_ext(interp::Compiler.N…
  ╎    ╎    ╎    ╎     12  @Compiler/…n.jl:4460  typeinf(interp::Compiler.Nativ…
 1╎    ╎    ╎    ╎    ╎ 12  @Compiler/…e.jl:1205  doworkloop(interp::Compiler.N…
  ╎    ╎    ╎    ╎    ╎  11  @Compiler/…n.jl:178  (::Compiler.var"#handle1#abst…
  ╎    ╎    ╎    ╎    ╎   11  @Compiler/….jl:868  abstract_call_method_with_con…
  ╎    ╎    ╎    ╎    ╎    3   @Compiler/….jl:874  abstract_call_method_with_co…
 3╎    ╎    ╎    ╎    ╎     3   @Compiler/…jl:1008  concrete_eval_call(interp::…
  ╎    ╎    ╎    ╎    ╎    8   @Compiler/….jl:898  abstract_call_method_with_co…
  ╎    ╎    ╎    ╎    ╎     8   @Compiler/…jl:1348  const_prop_call(interp::Com…
  ╎    ╎    ╎    ╎    ╎    ╎ 7   @Compiler/…jl:4469  typeinf(interp::Compiler.N…
  ╎    ╎    ╎    ╎    ╎    ╎  7   @Compiler/…l:4311  typeinf_local(interp::Comp…
  ╎    ╎    ╎    ╎    ╎    ╎   7   @Compiler/…l:3762  abstract_eval_basic_state…
  ╎    ╎    ╎    ╎    ╎    ╎    7   @Compiler/…l:3805  abstract_eval_basic_stat…
  ╎    ╎    ╎    ╎    ╎    ╎     7   @Compiler/…l:3430  abstract_eval_statement…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 7   @Compiler/…l:3074  abstract_eval_call
  ╎    ╎    ╎    ╎    ╎    ╎    ╎  7   @Compiler/…l:3056  abstract_call(interp:…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎   7   @Compiler/…l:2896  abstract_call
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    7   @Compiler/…l:2903  abstract_call(inter…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     1   @Compiler/…l:2648  abstract_call_know…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 1   @Compiler/…l:1872  abstract_apply(in…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  1   @Compiler/…l:1852  (::Compiler.var"…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   1   @Compiler/…l:2903  abstract_call(i…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    1   @Compiler/…l:2796  abstract_call_…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     1   @Compiler/…l:338  abstract_call_…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 1   @Compiler/…l:252  (::Compiler.va…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 1   @Compiler/…l:178  (::Compiler.va…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   @Compiler/…l:868  abstract_call_…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   @Compiler/…l:898  abstract_call_…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @Compiler/…l:1348  const_prop_ca…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Compiler/…l:4476  typeinf(inter…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Compiler/…l:232  finish_nocycle…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Compiler/…l:1021  optimize(inte…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @Compiler/…l:1048  run_passes_ip…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +10 1   @Compiler/…l:1035  run_passes_ip…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +11 1   @Compiler/…l:1333  slot2reg
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +12 1   @Compiler/…l:894  construct_ssa!…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +13 1   @Compiler/…l:473  domsort_ssa!(i…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +14 1   @Compiler/…l:62  renumber_ssa!
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  ╎    ╎    ╎    ╎    ╎    ╎  48  @Compiler/…l:2896  abstract_call
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  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +22 1   @Compiler/…l:3056  abstract_call…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +23 1   @Compiler/…l:2896  abstract_call
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  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +26 1   @Compiler/…l:898  abstract_call_…
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  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 1   @Compiler/…l:76  ssa_inlining_pa…
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  ╎    ╎    ╎    ╎    ╎ 1   @Compiler/…n.jl:4318  typeinf_local(interp::Compile…
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 1╎    ╎    ╎    ╎    ╎   1   @Compiler/….jl:1064  merge_effects!
  ╎    ╎    ╎    ╎    ╎ 1   @Compiler/…n.jl:4321  typeinf_local(interp::Compile…
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  ╎    ╎    ╎    ╎    ╎   1   @Compiler/….jl:496  tmerge(lattice::Compiler.Infe…
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  ╎    ╎    ╎    ╎    ╎  1   @Compiler/…r.jl:622  finishinfer!(me::Compiler.Inf…
  ╎    ╎    ╎    ╎    ╎   1   @Compiler/….jl:877  type_annotate!(interp::Compil…
  ╎    ╎    ╎    ╎    ╎    1   @Base/…ials.jl:966  getindex
 1╎    ╎    ╎    ╎    ╎     1   @Base/…ials.jl:387  checkbounds
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  ╎    ╎    ╎    ╎    ╎   9   @Compiler/….jl:1048  run_passes_ipo_safe
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  ╎    ╎    ╎    ╎    ╎     1   @Compiler/…jl:1330  slot2reg
  ╎    ╎    ╎    ╎    ╎    ╎ 1   @Compiler/…jl:476  construct_domtree
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  ╎    ╎    ╎    ╎    ╎    ╎   1   @Compiler/…l:242  construct_domtree(blocks::…
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  ╎    ╎    ╎    ╎    ╎    ╎     1   @Compiler/…l:322  SNCA!(domtree::Compiler.…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 1   @Base/…ay.jl:988  setindex!
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  ╎    ╎    ╎    ╎    ╎     1   @Compiler/…jl:1333  slot2reg
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  ╎    ╎    ╎    ╎    ╎    ╎  1   @Compiler/…jl:498  ⊑(lattice::Compiler.Partia…
  ╎    ╎    ╎    ╎    ╎    ╎   1   @Compiler/…l:520  ⊑
 1╎    ╎    ╎    ╎    ╎    ╎    1   @Compiler/…l:153  ⊑
  ╎    ╎    ╎    ╎    ╎     2   @Compiler/…jl:79  ssa_inlining_pass!
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  ╎    ╎    ╎    ╎    ╎    ╎  1   @Compiler/…jl:364  ir_inline_item!(compact::C…
 1╎    ╎    ╎    ╎    ╎    ╎   1   @Compiler/…l:321  ir_prepare_inlining!(inser…
 1╎    ╎    ╎    ╎    ╎    ╎ 1   @Base/…ray.jl:1225  _deletebeg!(a::Vector{Pair…
  ╎    ╎    ╎    ╎    ╎     1   @Compiler/…jl:2146  compact!
  ╎    ╎    ╎    ╎    ╎    ╎ 1   @Compiler/…jl:2148  compact!(code::Compiler.IR…
  ╎    ╎    ╎    ╎    ╎    ╎  1   @Compiler/…l:1871  iterate
  ╎    ╎    ╎    ╎    ╎    ╎   1   @Compiler/…l:1949  iterate_compact(compact::…
  ╎    ╎    ╎    ╎    ╎    ╎    1   @Compiler/…l:1464  process_node!(compact::C…
  ╎    ╎    ╎    ╎    ╎    ╎     1   @Compiler/…l:365  already_inserted_ssa
 1╎    ╎    ╎    ╎    ╎    ╎    ╎ 1   @Base/…ot.jl:499  Box
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  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 2   @Compiler/…l:3689  abstract_load_all_cons…
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 1╎    ╎    ╎    ╎    ╎    ╎    ╎    1   @Base/…ls.jl:268  lookup_binding_parti…
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[ Info: infinite_horizon_hydro_thermal.jl

[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:1192
wait_forever at ./task.jl:1129
jfptr_wait_forever_47924.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [inlined]
start_task at /source/src/task.c:1249
unknown function (ip: (nil)) at (unknown file)
Allocations: 24049163 (Pool: 24048469; Big: 694); GC: 27

[1044] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/infinite_horizon_hydro_thermal.jl:72
unknown function (ip: 0x733c6979e5ae) at /lib/x86_64-linux-gnu/libc.so.6
__libc_free at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
_ZL15matchAccessTagsPKN4llvm6MDNodeES2_PS2_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm17TypeBasedAAResult5aliasERKNS_14MemoryLocationES3_RNS_11AAQueryInfoEPKNS_11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm9AAResults5aliasERKNS_14MemoryLocationES3_RNS_11AAQueryInfoEPKNS_11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm23MemoryDependenceResults30getSimplePointerDependencyFromERKNS_14MemoryLocationEbNS_21ilist_iterator_w_bitsINS_12ilist_detail12node_optionsINS_11InstructionELb1ELb0EvLb1ENS_10BasicBlockEEELb0ELb0EEEPS8_PS7_PjRNS_14BatchAAResultsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm23MemoryDependenceResults24getPointerDependencyFromERKNS_14MemoryLocationEbNS_21ilist_iterator_w_bitsINS_12ilist_detail12node_optionsINS_11InstructionELb1ELb0EvLb1ENS_10BasicBlockEEELb0ELb0EEEPS8_PS7_PjRNS_14BatchAAResultsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm23MemoryDependenceResults23getNonLocalInfoForBlockEPNS_11InstructionERKNS_14MemoryLocationEbPNS_10BasicBlockEPSt6vectorINS_16NonLocalDepEntryESaIS9_EEjRNS_14BatchAAResultsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm23MemoryDependenceResults27getNonLocalPointerDepFromBBEPNS_11InstructionERKNS_12PHITransAddrERKNS_14MemoryLocationEbPNS_10BasicBlockERNS_15SmallVectorImplINS_17NonLocalDepResultEEERNS_13SmallDenseMapISA_PNS_5ValueELj16ENS_12DenseMapInfoISA_vEENS_6detail12DenseMapPairISA_SH_EEEEbb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm23MemoryDependenceResults28getNonLocalPointerDependencyEPNS_11InstructionERNS_15SmallVectorImplINS_17NonLocalDepResultEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm7GVNPass19processNonLocalLoadEPNS_8LoadInstE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm7GVNPass18processInstructionEPNS_11InstructionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm7GVNPass12processBlockEPNS_10BasicBlockE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm7GVNPass17iterateOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm7GVNPass7runImplERNS_8FunctionERNS_15AssumptionCacheERNS_13DominatorTreeERKNS_17TargetLibraryInfoERNS_9AAResultsEPNS_23MemoryDependenceResultsERNS_8LoopInfoEPNS_25OptimizationRemarkEmitterEPNS_9MemorySSAE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm7GVNPass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
run at /source/usr/include/llvm/IR/PassManagerInternal.h:91
_ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
run at /source/usr/include/llvm/IR/PassManagerInternal.h:91
_ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
run at /source/usr/include/llvm/IR/PassManagerInternal.h:91
_ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
run at /source/src/pipeline.cpp:791
operator() at /source/src/jitlayers.cpp:1511
withModuleDo<(anonymous namespace)::sizedOptimizerT<N>::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]::<lambda(llvm::Module&)> > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined]
operator() at /source/src/jitlayers.cpp:1472 [inlined]
operator() at /source/src/jitlayers.cpp:1624 [inlined]
addModule at /source/src/jitlayers.cpp:2081
jl_compile_codeinst_now at /source/src/jitlayers.cpp:685
jl_compile_codeinst_impl at /source/src/jitlayers.cpp:876
jl_compile_method_internal at /source/src/gf.c:3319
_jl_invoke at /source/src/gf.c:3799 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [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:708
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2848
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
_include at ./loading.jl:2908
include at ./Base.jl:310
IncludeInto at ./Base.jl:311 [inlined]
macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined]
util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:14
util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10
unknown function (ip: 0x733c3ff99872) at (unknown file)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [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:708
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:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2848
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
_include at ./loading.jl:2908
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_56592.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [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:708
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
exec_options at ./client.jl:286
_start at ./client.jl:553
jfptr__start_63823.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3807 [inlined]
ijl_apply_generic at /source/src/gf.c:4004
jl_apply at /source/src/julia.h:2345 [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: 0x733c6972f249) 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: 473763356 (Pool: 473502339; Big: 261017); GC: 115

PkgEval terminated after 2729.69s: test duration exceeded the time limit