Package evaluation of SDDP on Julia 1.13.0-DEV.994 (f4af91db49*) started at 2025-08-17T19:09:26.872 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 11.34s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed Bzip2_jll ──────────── v1.0.9+0 Installed ConcurrentUtilities ── v2.5.0 Installed DiffResults ────────── v1.1.0 Installed MacroTools ─────────── v0.5.16 Installed CodecZlib ──────────── v0.7.8 Installed ForwardDiff ────────── v1.0.1 Installed URIs ───────────────── v1.6.1 Installed ExprTools ──────────── v0.1.10 Installed RecipesBase ────────── v1.3.4 Installed ExceptionUnwrapping ── v0.1.11 Installed OrderedCollections ─── v1.8.1 Installed DataStructures ─────── v0.18.22 Installed Compat ─────────────── v4.18.0 Installed Statistics ─────────── v1.11.1 Installed TranscodingStreams ─── v0.11.3 Installed StaticArraysCore ───── v1.4.3 Installed CommonSubexpressions ─ v0.3.1 Installed TimerOutputs ───────── v0.5.29 Installed LoggingExtras ──────── v1.1.0 Installed OpenSSL ────────────── v1.5.0 Installed PrecompileTools ────── v1.3.2 Installed IrrationalConstants ── v0.2.4 Installed CodecBzip2 ─────────── v0.8.5 Installed MbedTLS ────────────── v1.1.9 Installed NaNMath ────────────── v1.1.3 Installed OpenSpecFun_jll ────── v0.5.6+0 Installed JSON3 ──────────────── v1.14.3 Installed HTTP ───────────────── v1.10.17 Installed BitFlags ───────────── v0.1.9 Installed LogExpFunctions ────── v0.3.29 Installed DiffRules ──────────── v1.15.1 Installed JSON ───────────────── v0.21.4 Installed Parsers ────────────── v2.8.3 Installed Reexport ───────────── v1.2.2 Installed SimpleBufferStream ─── v1.2.0 Installed SpecialFunctions ───── v2.5.1 Installed Preferences ────────── v1.5.0 Installed MutableArithmetics ─── v1.6.4 Installed JLLWrappers ────────── v1.7.1 Installed MbedTLS_jll ────────── v2.28.6+2 Installed BenchmarkTools ─────── v1.6.0 Installed StructTypes ────────── v1.11.0 Installed DocStringExtensions ── v0.9.5 Installed JuMP ───────────────── v1.28.0 Installed MathOptInterface ───── v1.42.1 Installed SDDP ───────────────── v1.13.0 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 v1.13.0 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 v4.18.0 [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 v1.7.1 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.28.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.42.1 [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 v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [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 v2025.8.12 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 8.88s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4592.3 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompilation completed after 876.43s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_sDWGvZ/Project.toml` [87dc4568] HiGHS v1.19.0 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.18 [f4570300] SDDP v1.13.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_sDWGvZ/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 v4.18.0 [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 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [c87230d0] FFMPEG v0.4.4 [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 v1.19.0 [b6b21f68] Ipopt v1.10.6 [92d709cd] IrrationalConstants v0.2.4 [1019f520] JLFzf v0.1.11 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.3 [7d188eb4] JSONSchema v1.4.1 [4076af6c] JuMP v1.28.0 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.9 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [1914dd2f] MacroTools v0.5.16 [8c4f8055] MathOptIIS v0.1.1 [b8f27783] MathOptInterface v1.42.1 [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 v1.40.18 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.5.0 [43287f4e] PtrArrays v1.3.0 [3cdcf5f2] RecipesBase v1.3.4 [01d81517] RecipesPipeline v0.6.12 [189a3867] Reexport v1.2.2 [05181044] RelocatableFolders v1.0.1 [ae029012] Requires v1.3.1 [f4570300] SDDP v1.13.0 [6c6a2e73] Scratch v1.3.0 [992d4aef] Showoff v1.0.3 [777ac1f9] SimpleBufferStream v1.2.0 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.5.1 [860ef19b] StableRNGs v1.0.3 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.6 [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 [1986cc42] Unitful v1.24.0 [45397f5d] UnitfulLatexify v1.7.0 [41fe7b60] Unzip v0.2.0 [ae81ac8f] ASL_jll v0.1.3+0 [6e34b625] Bzip2_jll v1.0.9+0 [83423d85] Cairo_jll v1.18.5+0 [ee1fde0b] Dbus_jll v1.16.2+0 [2702e6a9] EpollShim_jll v0.0.20230411+1 [2e619515] Expat_jll v2.6.5+0 [b22a6f82] FFMPEG_jll v7.1.1+0 [a3f928ae] Fontconfig_jll v2.16.0+0 [d7e528f0] FreeType2_jll v2.13.4+0 [559328eb] FriBidi_jll v1.0.17+0 [0656b61e] GLFW_jll v3.4.0+2 [d2c73de3] GR_jll v0.73.17+0 [b0724c58] GettextRuntime_jll v0.22.4+0 [7746bdde] Glib_jll v2.84.3+0 [3b182d85] Graphite2_jll v1.3.15+0 [2e76f6c2] HarfBuzz_jll v8.5.1+0 [8fd58aa0] HiGHS_jll v1.11.0+1 [e33a78d0] Hwloc_jll v2.12.1+0 ⌅ [9cc047cb] Ipopt_jll v300.1400.1701+0 [aacddb02] JpegTurbo_jll v3.1.1+0 [c1c5ebd0] LAME_jll v3.100.3+0 [88015f11] LERC_jll v4.0.1+0 [1d63c593] LLVMOpenMP_jll v18.1.8+0 [dd4b983a] LZO_jll v2.10.3+0 [e9f186c6] Libffi_jll v3.4.7+0 [7e76a0d4] Libglvnd_jll v1.7.1+1 [94ce4f54] Libiconv_jll v1.18.0+0 [4b2f31a3] Libmount_jll v2.41.0+0 [89763e89] Libtiff_jll v4.7.1+0 [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 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [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 [cc61e674] Xorg_libxkbfile_jll v1.1.3+0 [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 [35661453] Xorg_xkbcomp_jll v1.4.7+0 [33bec58e] Xorg_xkeyboard_config_jll v2.44.0+0 [c5fb5394] Xorg_xtrans_jll v1.6.0+0 [35ca27e7] eudev_jll v3.2.14+0 [214eeab7] fzf_jll v0.61.1+0 [a4ae2306] libaom_jll v3.12.1+0 [0ac62f75] libass_jll v0.17.4+0 [1183f4f0] libdecor_jll v0.2.2+0 [2db6ffa8] libevdev_jll v1.13.4+0 [f638f0a6] libfdk_aac_jll v2.0.4+0 [36db933b] libinput_jll v1.28.1+0 [b53b4c65] libpng_jll v1.6.50+0 [f27f6e37] libvorbis_jll v1.3.8+0 [009596ad] mtdev_jll v1.1.7+0 [1270edf5] x264_jll v10164.0.1+0 [dfaa095f] x265_jll v4.1.0+0 [d8fb68d0] xkbcommon_jll v1.9.2+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA 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 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.8.12 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.2+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: Inner.jl Node: 3 - elapsed time: 0.13 plus 3.91 for vertex selection. Node: 2 - elapsed time: 0.04 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.04 plus 0.01 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 4.153269893 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.11 plus 0.06 for vertex selection. Node: 18 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 17 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 16 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 15 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 14 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 13 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 12 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 11 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 10 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 9 - elapsed time: 0.27 plus 0.06 for vertex selection. Node: 8 - elapsed time: 0.22 plus 0.06 for vertex selection. Node: 7 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 6 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 5 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 4 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 3 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 2 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 1 - elapsed time: 0.21 plus 0.05 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:401 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 5.539513e-02 4 1 3 0.000000e+00 0.000000e+00 6.013541e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.013541e-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 2.596498e-02 9 1 20 7.500000e+04 1.075000e+05 6.580451e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.580451e-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/39RYL/src/algorithm.jl:1181 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.153973e+00 12 1 10 2.500000e+00 3.361111e+01 1.178564e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.178564e+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 1.301098e-02 12 1 10 2.500000e+00 3.361111e+01 3.659511e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.659511e-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 1.070499e-02 46 1 50 0.000000e+00 1.191663e+02 5.198321e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.198321e-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 1.106381e-02 46 1 50 0.000000e+00 1.191663e+02 5.226290e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.226290e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 4.027407e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.922858e+00 309 1 4S -6.230988e+01 -6.688020e+01 8.003999e+00 412 1 6S -6.064080e+01 -6.678327e+01 9.213493e+00 618 1 15S -4.168889e+01 -6.677644e+01 1.512097e+01 1545 1 25S -4.168889e+01 -6.677644e+01 2.109577e+01 2575 1 35S -3.268889e+01 -6.677644e+01 2.724179e+01 3605 1 45S -4.168889e+01 -6.677644e+01 3.335668e+01 4635 1 55S -4.868889e+01 -6.677644e+01 3.943160e+01 5665 1 65S -4.168889e+01 -6.677644e+01 4.560059e+01 6695 1 75S -8.368889e+01 -6.677644e+01 5.110689e+01 7725 1 87S -6.068889e+01 -6.677644e+01 5.697099e+01 8961 1 99S -8.368889e+01 -6.677644e+01 6.277241e+01 10197 1 100 -8.368889e+01 -6.677644e+01 6.278646e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.278646e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 1.605034e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.605034e-03 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+00 6.000000e+00 3.128181e+02 2 3 20 5.000000e+00 6.000000e+00 3.179032e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.179032e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.300000e+00 ± 9.963686e-01 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 3.008690e-01 48 1 20 9.000000e+00 6.000000e+00 5.683000e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.683000e-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/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 6.537914e-03 4 1 50 0.000000e+00 0.000000e+00 2.567780e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.567780e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.539120e+00 5 1 20 0.000000e+00 -1.000000e+01 8.216226e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.216226e+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 2.508402e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.320909e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.200196e-02 132 1 20 -2.396000e+01 -2.396000e+01 5.161309e-02 172 1 25 -5.320000e+00 -2.396000e+01 6.358004e-02 224 1 30 -5.320000e+00 -2.396000e+01 7.407093e-02 264 1 35 -2.396000e+01 -2.396000e+01 8.550406e-02 304 1 40 -2.396000e+01 -2.396000e+01 1.090569e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.090569e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 450ms / 19.2% 12.6MiB / 59.5% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 49.6ms 57.4% 1.24ms 5.63MiB 75.4% 144KiB solve_subproblem 160 27.3ms 31.6% 170μs 698KiB 9.1% 4.36KiB get_dual_solution 160 1.25ms 1.4% 7.79μs 180KiB 2.4% 1.12KiB prepare_backward_pass 160 61.7μs 0.1% 386ns 0.00B 0.0% 0.00B forward_pass 40 26.3ms 30.4% 656μs 1.65MiB 22.1% 42.3KiB solve_subproblem 120 23.9ms 27.7% 199μs 1.48MiB 19.8% 12.6KiB get_dual_solution 120 44.4μs 0.1% 370ns 13.1KiB 0.2% 112B sample_scenario 40 483μs 0.6% 12.1μs 24.2KiB 0.3% 620B calculate_bound 40 10.5ms 12.2% 263μs 183KiB 2.4% 4.56KiB get_dual_solution 40 15.8μs 0.0% 395ns 4.38KiB 0.1% 112B get_dual_solution 36 12.7μs 0.0% 354ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 6.169605e-02 52 1 10 -2.396000e+01 -2.396000e+01 7.051396e-02 92 1 15 -2.396000e+01 -2.396000e+01 8.077598e-02 132 1 20 -4.260000e+01 -2.396000e+01 9.260392e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.083810e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.240349e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.408179e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.596389e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.596389e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 167ms / 88.2% 14.7MiB / 94.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 109ms 74.5% 2.73ms 12.0MiB 86.8% 308KiB solve_subproblem 160 28.7ms 19.5% 179μs 700KiB 4.9% 4.37KiB get_dual_solution 160 1.27ms 0.9% 7.96μs 180KiB 1.3% 1.12KiB prepare_backward_pass 160 74.9μs 0.1% 468ns 0.00B 0.0% 0.00B forward_pass 40 25.8ms 17.6% 645μs 1.65MiB 11.9% 42.3KiB solve_subproblem 120 23.4ms 15.9% 195μs 1.48MiB 10.7% 12.6KiB get_dual_solution 120 43.1μs 0.0% 359ns 13.1KiB 0.1% 112B sample_scenario 40 485μs 0.3% 12.1μs 24.3KiB 0.2% 623B calculate_bound 40 11.7ms 8.0% 292μs 184KiB 1.3% 4.61KiB get_dual_solution 40 16.9μs 0.0% 424ns 4.38KiB 0.0% 112B get_dual_solution 36 12.7μs 0.0% 353ns 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 1.794000e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.815279e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.825209e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.833398e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.841249e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.849079e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.857028e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.864848e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.873410e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.881590e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.890948e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.899679e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.908448e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.917348e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.926229e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.935189e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.944258e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.953418e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.961868e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.970208e-01 104 1 21 -1.000000e+00 -2.000000e+00 1.986289e-01 113 1 22 -1.000000e+00 -2.000000e+00 1.995490e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.003748e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.012298e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.021389e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.030649e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.040219e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.050140e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.060268e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.070458e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.080729e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.091029e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.101588e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.112160e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.123039e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.134140e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.145319e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.156620e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.167828e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.179370e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.179370e-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 2.791710e-01 51 1 24 2.178733e+02 2.251256e+02 1.282542e+00 3972 1 30 2.138334e+03 2.336430e+02 2.644711e+00 7674 1 38 8.025312e+02 2.352957e+02 3.823155e+00 10194 1 45 4.103715e+01 2.358381e+02 4.824649e+00 11835 1 55 1.301944e+01 2.360747e+02 5.835172e+00 13485 1 63 1.493193e+03 2.362190e+02 7.468334e+00 15909 1 72 1.044387e+02 2.362973e+02 8.552601e+00 17364 1 76 3.050305e+02 2.363467e+02 9.812187e+00 18936 1 100 4.969839e+02 2.364135e+02 1.438141e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.438141e+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 9.484360e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.220670e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.505150e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.791467e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.133505e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.469120e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.800305e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.140255e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.486497e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.827999e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.827999e+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 4.332068e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.178728e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.019548e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.906239e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.822209e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.077134e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.275351e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.378768e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.584424e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.698547e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.825754e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.940768e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.053318e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.177339e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.302023e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.438041e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.571995e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.704407e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.729038e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.729038e+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 2.496195e-02 54 1 20 3.336455e+05 3.402383e+05 3.955984e-02 104 1 30 3.993519e+05 3.403155e+05 5.342197e-02 158 1 40 3.337559e+05 3.403155e+05 6.358194e-02 208 1 48 3.337559e+05 3.403155e+05 7.273698e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.273698e-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 3.722596e-02 92 1 20 4.506600e+05 4.054833e+05 7.093000e-02 172 1 30 3.959476e+05 4.067125e+05 9.292197e-02 264 1 40 4.497721e+05 4.067125e+05 1.129899e-01 344 1 47 3.959476e+05 4.067125e+05 1.284850e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.284850e-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 6.494880e+00 14 1 40 2.308500e+03 4.074139e+03 7.402625e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.402625e+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 2.291303e+00 8 1 6L 4.000000e+04 6.250000e+04 3.312090e+00 60 1 15L 9.500000e+04 6.250000e+04 4.324066e+00 132 1 20L 6.000000e+04 6.250000e+04 5.216023e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.216023e+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 1.500988e-02 8 1 16 4.000000e+04 6.250000e+04 1.056099e+00 140 1 20 4.000000e+04 6.250000e+04 1.325090e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.325090e+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 6.467700e-02 5 1 10 4.000000e+04 6.250000e+04 7.333171e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.333171e-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 3.439031e-01 6 1 20L 9.000000e+00 9.000000e+00 4.443541e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.443541e-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 1.064937e+00 87 1 10 -1.109375e+01 2.605769e-01 1.076964e+00 142 1 15 3.105797e+00 5.434132e-01 1.090565e+00 197 1 20 -2.463349e+01 1.503415e+00 1.104364e+00 252 1 25 -1.421085e-14 1.514085e+00 1.116589e+00 307 1 30 4.864000e+01 1.514085e+00 3.251782e+00 394 1 35 4.864000e+01 1.514085e+00 3.265753e+00 449 1 40 -8.870299e+00 1.514085e+00 3.281127e+00 504 1 45 -1.428571e+00 1.514085e+00 3.295778e+00 559 1 48 -1.428571e+00 1.514085e+00 3.305726e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.305726e+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 9.353750e-01 278 1 20 1.440356e+01 1.278425e+00 9.734371e-01 428 1 30 8.388546e+00 1.278425e+00 1.040751e+00 706 1 40 6.666667e-03 1.278410e+00 1.079889e+00 856 1 50 -5.614035e+00 1.278410e+00 1.147028e+00 1134 1 60 1.426676e+01 1.278410e+00 1.192744e+00 1284 1 64 1.261296e+01 1.278410e+00 1.213024e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.213024e+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 8.978391e-02 278 1 20 1.111084e+01 1.278410e+00 1.396360e-01 428 1 30 2.293779e+01 1.278410e+00 2.215040e-01 706 1 40 1.426676e+01 1.278410e+00 4.265370e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.265370e-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 ------------------------------------------------------------------- ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1049 running 1 of 1 signal (10): User defined signal 1 _ZN4llvm19SmallPtrSetImplBase14insert_imp_bigEPKv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) unknown function (ip: 0xe1fe2ff) at (unknown file) unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== 10 ====================================================================================== 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_59781.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] start_task at /source/src/task.c:1253 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 0x00007e7fcde08e20 Total snapshots: 419. Utilization: 0% ╎419 @Base/task.jl:1129 wait_forever() 418╎ 419 @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 4.787277e+00Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000738104400010 Total snapshots: 82. Utilization: 100% ╎66 @Base/client.jl:563 _start() ╎ 66 @Base/client.jl:296 exec_options(opts::Base.JLOptions) ╎ 66 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ 66 @Base/Base.jl:310 (::Base.IncludeInto)(fname::String) ╎ 66 @Base/Base.jl:309 include(mapexpr::Function, mod::Module, _path::Str… ╎ 66 @Base/loading.jl:2923 _include(mapexpr::Function, mod::Module, _pat… ╎ ╎ 66 @Base/loading.jl:2863 include_string(mapexpr::typeof(identity), mo… ╎ ╎ 66 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 66 …YL/test/runtests.jl:10 util_test_directory(dir::String) ╎ ╎ 66 …YL/test/runtests.jl:14 util_test_directory(dir::String, exclud… ╎ ╎ 66 @Test/src/Test.jl:1929 macro expansion ╎ ╎ ╎ 66 …L/test/runtests.jl:16 macro expansion ╎ ╎ ╎ 66 @Base/Base.jl:310 IncludeInto ╎ ╎ ╎ 66 @Base/Base.jl:309 include(mapexpr::Function, mod::Module, _… ╎ ╎ ╎ 66 @Base/loading.jl:2923 _include(mapexpr::Function, mod::Mod… ╎ ╎ ╎ 66 @Base/loading.jl:2863 include_string(mapexpr::typeof(iden… ╎ ╎ ╎ ╎ 66 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 66 …amples/belief.jl:56 inventory_management_problem() ╎ ╎ ╎ ╎ 66 @SDDP/…orithm.jl:1116 train ╎ ╎ ╎ ╎ 66 @SDDP/…orithm.jl:1291 train(model::SDDP.PolicyGraph{S… ╎ ╎ ╎ ╎ 66 @SDDP/…chemes.jl:49 master_loop(::SDDP.Serial, model… ╎ ╎ ╎ ╎ ╎ 66 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ 66 @SDDP/…chemes.jl:50 (::SDDP.var"#master_loop##0#ma… ╎ ╎ ╎ ╎ ╎ 66 @SDDP/…rithm.jl:965 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 66 @SDDP/…asses.jl:99 forward_pass(model::SDDP.Poli… ╎ ╎ ╎ ╎ ╎ 66 @SDDP/…ithm.jl:11 macro expansion 65╎ ╎ ╎ ╎ ╎ ╎ 66 @SDDP/…sses.jl:100 macro expansion 9.346930e+00 6.744781e+00 900 1 20 6.374753e+00 1.361934e+01 2.048093e+01 1720 1 30 2.848217e+01 1.624016e+01 2.141055e+01 3036 1 [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_59781.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 24412994 (Pool: 24412293; Big: 701); GC: 25 [1049] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/belief.jl:72 unknown function (ip: 0x73811e68e1c3) at /lib/x86_64-linux-gnu/libc.so.6 unknown function (ip: 0x73811e6908a7) at /lib/x86_64-linux-gnu/libc.so.6 malloc at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) operator new at /workspace/srcdir/gcc-14.2.0/libstdc++-v3/libsupc++/new_op.cc:50 _ZNSt6vectorIcSaIcEE14_M_fill_assignEmRKc at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN11HVectorBaseIdE5setupEi at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN4HEkk13computePrimalEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN4HEkk18initialiseForSolveEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN4HEkk5solveEb at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _Z14solveLpSimplexR19HighsLpSolverObject at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _Z7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs11callSolveLpER7HighsLpNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZZN5Highs13optimizeModelEvENKUlR7HighsLpRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERdE_clES1_S9_SA_.isra.499.lto_priv.3713 at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/vK6dk/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/vK6dk/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7380f4112112) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/Ue9wj/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/Ue9wj/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 solve_all_children at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:831 unknown function (ip: 0x7380f11b4a68) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 backward_pass at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:629 unknown function (ip: 0x7380f11b09e8) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:969 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7380f11a2421) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 #train#91 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] inventory_management_problem at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/belief.jl:56 unknown function (ip: 0x7380f118d8ff) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [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:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10 unknown function (ip: 0x7380f40ed312) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [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:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_67584.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [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:296 _start at ./client.jl:563 jfptr__start_43520.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [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: 0x73811e620249) 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: 518668132 (Pool: 518664893; Big: 3239); GC: 98 PkgEval terminated after 2722.14s: test duration exceeded the time limit