Package evaluation to test SDDP on Julia 1.14.0-DEV.2307 (a8f97b1944*) started at 2026-06-08T14:59:36.309 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.1s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [f4570300] + SDDP v1.13.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [d1d4a3ce] + BitFlags v0.1.10 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.4.0 ⌅ [cd3eb016] + HTTP v1.11.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.1 [4076af6c] + JuMP v1.30.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.51.1 [739be429] + MbedTLS v1.1.10 [d8a4904e] + MutableArithmetics v1.8.0 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.6.1 ⌅ [bac558e1] + OrderedCollections v1.8.2 [69de0a69] + Parsers v2.8.5 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.2 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.8.0 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.8.2 [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 v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.2+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.84s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 7.4 s ✓ MathOptIIS 24.3 s ✓ SDDP 47.7 s ✓ HiGHS 3 dependencies successfully precompiled in 94 seconds. 207 already precompiled. Precompilation completed after 110.73s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_I6ji5K/Project.toml` ⌅ [87dc4568] HiGHS v1.22.2 [b6b21f68] Ipopt v1.14.3 [682c06a0] JSON v1.6.1 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.6 [f4570300] SDDP v1.13.2 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_I6ji5K/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [d1d4a3ce] BitFlags v0.1.10 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [f0e56b4a] ConcurrentUtilities v2.5.1 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.5 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [ffbed154] DocStringExtensions v0.9.5 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [c87230d0] FFMPEG v0.4.5 ⌅ [53c48c17] FixedPointNumbers v0.8.6 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.4.0 [28b8d3ca] GR v0.73.26 [42e2da0e] Grisu v1.0.2 ⌅ [cd3eb016] HTTP v1.11.0 ⌅ [87dc4568] HiGHS v1.22.2 [b6b21f68] Ipopt v1.14.3 [92d709cd] IrrationalConstants v0.2.6 [1019f520] JLFzf v0.1.11 [692b3bcd] JLLWrappers v1.8.0 [682c06a0] JSON v1.6.1 [7d188eb4] JSONSchema v1.5.0 [4076af6c] JuMP v1.30.1 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.10 [2ab3a3ac] LogExpFunctions v1.0.1 [e6f89c97] LoggingExtras v1.2.0 [1914dd2f] MacroTools v0.5.16 ⌅ [8c4f8055] MathOptIIS v0.1.2 [b8f27783] MathOptInterface v1.51.1 [739be429] MbedTLS v1.1.10 [442fdcdd] Measures v0.3.3 [e1d29d7a] Missings v1.2.0 [d8a4904e] MutableArithmetics v1.8.0 [77ba4419] NaNMath v1.1.3 [4d8831e6] OpenSSL v1.6.1 ⌅ [bac558e1] OrderedCollections v1.8.2 [69de0a69] Parsers v2.8.5 [ccf2f8ad] PlotThemes v3.3.0 [995b91a9] PlotUtils v1.4.4 [91a5bcdd] Plots v1.41.6 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [43287f4e] PtrArrays v1.4.0 [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 v1.13.2 [6c6a2e73] Scratch v1.3.0 [992d4aef] Showoff v1.0.3 [777ac1f9] SimpleBufferStream v1.2.0 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.8.0 [860ef19b] StableRNGs v1.0.4 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.11 [ec057cc2] StructUtils v2.8.2 [62fd8b95] TensorCore v0.1.1 [a759f4b9] TimerOutputs v0.5.29 [3bb67fe8] TranscodingStreams v0.11.3 [5c2747f8] URIs v1.6.1 [1cfade01] UnicodeFun v0.4.1 [41fe7b60] Unzip v0.2.0 [ae81ac8f] ASL_jll v0.1.3+0 [6e34b625] Bzip2_jll v1.0.9+0 [83423d85] Cairo_jll v1.18.7+0 [ee1fde0b] Dbus_jll v1.16.2+0 [2702e6a9] EpollShim_jll v0.0.20230411+1 [2e619515] Expat_jll v2.8.1+0 [b22a6f82] FFMPEG_jll v8.1.0+0 [a3f928ae] Fontconfig_jll v2.17.1+0 [d7e528f0] FreeType2_jll v2.14.3+1 [559328eb] FriBidi_jll v1.0.17+0 [0656b61e] GLFW_jll v3.4.1+1 [d2c73de3] GR_jll v0.73.26+0 ⌅ [b0724c58] GettextRuntime_jll v0.22.4+0 [61579ee1] Ghostscript_jll v9.55.1+0 [7746bdde] Glib_jll v2.86.3+0 [3b182d85] Graphite2_jll v1.3.15+0 [2e76f6c2] HarfBuzz_jll v8.5.1+0 ⌅ [8fd58aa0] HiGHS_jll v1.13.1+0 [e33a78d0] Hwloc_jll v2.13.0+1 ⌅ [9cc047cb] Ipopt_jll v300.1400.1901+0 [aacddb02] JpegTurbo_jll v3.1.5+0 [c1c5ebd0] LAME_jll v3.100.3+0 [88015f11] LERC_jll v4.1.0+0 [1d63c593] LLVMOpenMP_jll v18.1.8+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 v2.42.0+0 [89763e89] Libtiff_jll v4.7.2+0 [38a345b3] Libuuid_jll v2.42.0+0 [d00139f3] METIS_jll v5.1.3+0 ⌅ [d7ed1dd3] MUMPS_seq_jll v500.800.200+0 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [e7412a2a] Ogg_jll v1.3.6+0 [656ef2d0] OpenBLAS32_jll v0.3.33+1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [91d4177d] Opus_jll v1.6.1+0 [36c8627f] Pango_jll v1.57.1+0 [30392449] Pixman_jll v0.46.4+0 [c0090381] Qt6Base_jll v6.10.2+2 [629bc702] Qt6Declarative_jll v6.10.2+1 [ce943373] Qt6ShaderTools_jll v6.10.2+1 [6de9746b] Qt6Svg_jll v6.10.2+0 [e99dba38] Qt6Wayland_jll v6.10.2+1 [319450e9] SPRAL_jll v2025.9.18+0 [a44049a8] Vulkan_Loader_jll v1.3.243+0 [a2964d1f] Wayland_jll v1.24.0+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [ffd25f8a] XZ_jll v5.8.3+0 [f67eecfb] Xorg_libICE_jll v1.1.2+0 [c834827a] Xorg_libSM_jll v1.2.6+0 [4f6342f7] Xorg_libX11_jll v1.8.13+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 v1.3.8+0 [d091e8ba] Xorg_libXfixes_jll v6.0.2+0 [a51aa0fd] Xorg_libXi_jll v1.8.3+0 [d1454406] Xorg_libXinerama_jll v1.1.7+0 [ec84b674] Xorg_libXrandr_jll v1.5.6+0 [ea2f1a96] Xorg_libXrender_jll v0.9.12+0 [a65dc6b1] Xorg_libpciaccess_jll v0.19.0+0 [c7cfdc94] Xorg_libxcb_jll v1.17.1+0 [cc61e674] Xorg_libxkbfile_jll v1.2.0+0 [e920d4aa] Xorg_xcb_util_cursor_jll v0.1.6+0 [12413925] Xorg_xcb_util_image_jll v0.4.1+0 [2def613f] Xorg_xcb_util_jll v0.4.1+0 [975044d2] Xorg_xcb_util_keysyms_jll v0.4.1+0 [0d47668e] Xorg_xcb_util_renderutil_jll v0.3.10+0 [c22f9ab0] Xorg_xcb_util_wm_jll v0.4.2+0 [35661453] Xorg_xkbcomp_jll v1.4.7+0 [33bec58e] Xorg_xkeyboard_config_jll v2.47.0+1 [c5fb5394] Xorg_xtrans_jll v1.6.0+0 [35ca27e7] eudev_jll v3.2.14+0 [214eeab7] fzf_jll v0.61.1+0 [a4ae2306] libaom_jll v3.13.3+0 [0ac62f75] libass_jll v0.17.4+0 [1183f4f0] libdecor_jll v0.2.2+0 [8e53e030] libdrm_jll v2.4.125+1 [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 v1.6.58+0 [9a156e7d] libva_jll v2.23.0+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 v1.13.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [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 v1.5.2+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.6+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.42 plus 11.3 for vertex selection. Node: 2 - elapsed time: 0.31 plus 0.3 for vertex selection. Node: 1 - elapsed time: 0.31 plus 0.29 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 12.933843539 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/R1Ovj/src/Inner.jl:1049 Node: 19 - elapsed time: 0.37 plus 0.34 for vertex selection. Node: 18 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 17 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 16 - elapsed time: 0.46 plus 0.34 for vertex selection. Node: 15 - elapsed time: 0.45 plus 0.34 for vertex selection. Node: 14 - elapsed time: 0.4 plus 0.31 for vertex selection. Node: 13 - elapsed time: 0.44 plus 0.33 for vertex selection. Node: 12 - elapsed time: 0.46 plus 0.34 for vertex selection. Node: 11 - elapsed time: 0.46 plus 0.33 for vertex selection. Node: 10 - elapsed time: 0.46 plus 0.34 for vertex selection. Node: 9 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 8 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 7 - elapsed time: 0.48 plus 0.33 for vertex selection. Node: 6 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 5 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 4 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 3 - elapsed time: 0.49 plus 0.36 for vertex selection. Node: 2 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 1 - elapsed time: 0.48 plus 0.34 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/R1Ovj/src/algorithm.jl:402 [ 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, 2017-26 ------------------------------------------------------------------- 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 5.916860e-01 4 1 3 0.000000e+00 0.000000e+00 1.170141e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.170141e+00 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 5.685802e-01 9 1 20 7.500000e+04 1.075000e+05 1.408550e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.408550e+00 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 ┌ 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/R1Ovj/src/algorithm.jl:1182 [ 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/R1Ovj/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, 2017-26 ------------------------------------------------------------------- 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 2.073107e+00 12 1 10 2.500000e+00 3.361111e+01 2.103062e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.103062e+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, 2017-26 ------------------------------------------------------------------- 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 4.524410e-01 12 1 10 2.500000e+00 3.361111e+01 5.236669e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.236669e-01 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 7.297993e-03 46 1 50 0.000000e+00 1.191663e+02 3.318901e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.318901e-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, 2017-26 ------------------------------------------------------------------- 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 1.061392e-02 46 1 50 0.000000e+00 1.191663e+02 5.081720e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.081720e-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, 2017-26 ------------------------------------------------------------------- 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.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 4.328790e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.325508e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.394638e+00 412 1 5S -7.577792e+01 -6.680771e+01 8.549174e+00 515 1 6S -6.064080e+01 -6.678327e+01 9.718474e+00 618 1 13S -3.268889e+01 -6.677644e+01 1.546994e+01 1339 1 23S -3.268889e+01 -6.677644e+01 2.114367e+01 2369 1 33S -8.368889e+01 -6.677644e+01 2.684566e+01 3399 1 43S -8.368889e+01 -6.677644e+01 3.251715e+01 4429 1 53S -4.868889e+01 -6.677644e+01 3.846104e+01 5459 1 63S -8.068889e+01 -6.677644e+01 4.427526e+01 6489 1 73S -7.168889e+01 -6.677644e+01 4.988916e+01 7519 1 83S -7.168889e+01 -6.677644e+01 5.573377e+01 8549 1 93S -6.068889e+01 -6.677644e+01 6.167678e+01 9579 1 100 -8.368889e+01 -6.677644e+01 6.519955e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.519955e+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, 2017-26 ------------------------------------------------------------------- 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 1.908064e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.908064e-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/R1Ovj/src/algorithm.jl:1182 [ 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, 2017-26 ------------------------------------------------------------------- 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} : [1, 1] 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 5.000000e+00 6.000000e+00 3.964655e+02 2 3 20 9.000000e+00 6.000000e+00 4.017367e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.017367e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-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/R1Ovj/src/algorithm.jl:1182 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 6.727509e-01 48 1 20 9.000000e+00 6.000000e+00 1.058300e+00 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.058300e+00 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 2.135761e-01 4 1 50 0.000000e+00 0.000000e+00 6.573272e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 6.573272e-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/R1Ovj/src/plugins/stopping_rules.jl:133 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/R1Ovj/src/plugins/stopping_rules.jl:133 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/R1Ovj/src/plugins/stopping_rules.jl:133 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:49 └ @ Main.TestVisualization ~/.julia/packages/SDDP/R1Ovj/test/visualization/visualization.jl:49 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 7.902903e+00 5 1 20 0.000000e+00 -1.000000e+01 8.558166e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.558166e+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, 2017-26 ------------------------------------------------------------------- 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.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 5.022881e-01 52 1 10 -2.396000e+01 -2.396000e+01 5.097771e-01 92 1 15 -4.260000e+01 -2.396000e+01 5.178831e-01 132 1 20 -2.396000e+01 -2.396000e+01 5.270360e-01 172 1 25 -5.320000e+00 -2.396000e+01 5.381231e-01 224 1 30 -5.320000e+00 -2.396000e+01 5.489550e-01 264 1 35 -2.396000e+01 -2.396000e+01 5.599341e-01 304 1 40 -2.396000e+01 -2.396000e+01 5.719810e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.719810e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 944ms / 57.9% 12.0MiB / 51.9% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 295ms 54.0% 7.38ms 648KiB 10.2% 16.2KiB solve_subproblem 120 293ms 53.6% 2.44ms 475KiB 7.5% 3.96KiB get_dual_solution 120 44.0μs 0.0% 367ns 13.1KiB 0.2% 112B sample_scenario 40 432μs 0.1% 10.8μs 22.3KiB 0.4% 572B backward_pass 40 242ms 44.4% 6.06ms 5.40MiB 86.9% 138KiB prepare_backward_pass 160 149ms 27.4% 934μs 15.0KiB 0.2% 96.0B solve_subproblem 160 69.6ms 12.7% 435μs 721KiB 11.3% 4.51KiB get_dual_solution 160 1.28ms 0.2% 8.00μs 185KiB 2.9% 1.16KiB calculate_bound 40 8.81ms 1.6% 220μs 182KiB 2.9% 4.54KiB get_dual_solution 40 21.6μs 0.0% 539ns 4.38KiB 0.1% 112B get_dual_solution 36 10.8μs 0.0% 300ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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.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 5.466440e-01 52 1 10 -2.396000e+01 -2.396000e+01 5.547330e-01 92 1 15 -2.396000e+01 -2.396000e+01 5.642631e-01 132 1 20 -4.260000e+01 -2.396000e+01 5.756781e-01 172 1 25 -5.320000e+00 -2.396000e+01 5.907340e-01 224 1 30 -2.396000e+01 -2.396000e+01 6.039350e-01 264 1 35 -2.396000e+01 -2.396000e+01 6.210139e-01 304 1 40 -5.320000e+00 -2.396000e+01 6.407521e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.407521e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 650ms / 89.4% 12.8MiB / 93.8% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 354ms 61.0% 8.86ms 648KiB 5.3% 16.2KiB solve_subproblem 120 352ms 60.6% 2.93ms 475KiB 3.9% 3.96KiB get_dual_solution 120 39.6μs 0.0% 330ns 13.1KiB 0.1% 112B sample_scenario 40 428μs 0.1% 10.7μs 22.5KiB 0.2% 575B backward_pass 40 216ms 37.2% 5.40ms 11.2MiB 93.2% 286KiB solve_subproblem 160 25.3ms 4.4% 158μs 722KiB 5.9% 4.51KiB get_dual_solution 160 1.33ms 0.2% 8.32μs 185KiB 1.5% 1.16KiB prepare_backward_pass 160 138μs 0.0% 860ns 15.0KiB 0.1% 96.0B calculate_bound 40 10.4ms 1.8% 259μs 183KiB 1.5% 4.58KiB get_dual_solution 40 23.0μs 0.0% 574ns 4.38KiB 0.0% 112B get_dual_solution 36 13.2μs 0.0% 368ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 4.243758e-01 5 1 2 -2.500000e+00 -2.000000e+00 5.433059e-01 14 1 3 -1.000000e+00 -2.000000e+00 5.441430e-01 19 1 4 -1.000000e+00 -2.000000e+00 5.671308e-01 24 1 5 -1.000000e+00 -2.000000e+00 5.684750e-01 29 1 6 -3.000000e+00 -2.000000e+00 5.692198e-01 34 1 7 -1.000000e+00 -2.000000e+00 5.699279e-01 39 1 8 -1.000000e+00 -2.000000e+00 5.706160e-01 44 1 9 -3.000000e+00 -2.000000e+00 5.713298e-01 49 1 10 -1.000000e+00 -2.000000e+00 5.720649e-01 54 1 11 -3.000000e+00 -2.000000e+00 5.729220e-01 59 1 12 -3.000000e+00 -2.000000e+00 5.736449e-01 64 1 13 -1.000000e+00 -2.000000e+00 5.744169e-01 69 1 14 -1.000000e+00 -2.000000e+00 5.751870e-01 74 1 15 -3.000000e+00 -2.000000e+00 5.759649e-01 79 1 16 -1.000000e+00 -2.000000e+00 5.767260e-01 84 1 17 -3.000000e+00 -2.000000e+00 5.775299e-01 89 1 18 -3.000000e+00 -2.000000e+00 5.783539e-01 94 1 19 -1.000000e+00 -2.000000e+00 5.791879e-01 99 1 20 -3.000000e+00 -2.000000e+00 5.800369e-01 104 1 21 -1.000000e+00 -2.000000e+00 5.815609e-01 113 1 22 -1.000000e+00 -2.000000e+00 5.824490e-01 118 1 23 -3.000000e+00 -2.000000e+00 5.833378e-01 123 1 24 -3.000000e+00 -2.000000e+00 5.842328e-01 128 1 25 -1.000000e+00 -2.000000e+00 5.851350e-01 133 1 26 -3.000000e+00 -2.000000e+00 5.860498e-01 138 1 27 -3.000000e+00 -2.000000e+00 5.870039e-01 143 1 28 -1.000000e+00 -2.000000e+00 5.879648e-01 148 1 29 -3.000000e+00 -2.000000e+00 5.889289e-01 153 1 30 -3.000000e+00 -2.000000e+00 5.899329e-01 158 1 31 -1.000000e+00 -2.000000e+00 5.909359e-01 163 1 32 -1.000000e+00 -2.000000e+00 5.919499e-01 168 1 33 -1.000000e+00 -2.000000e+00 5.929539e-01 173 1 34 -3.000000e+00 -2.000000e+00 5.939870e-01 178 1 35 -1.000000e+00 -2.000000e+00 5.950270e-01 183 1 36 -3.000000e+00 -2.000000e+00 5.960889e-01 188 1 37 -1.000000e+00 -2.000000e+00 5.971549e-01 193 1 38 -1.000000e+00 -2.000000e+00 5.982449e-01 198 1 39 -1.000000e+00 -2.000000e+00 5.993538e-01 203 1 40 -1.000000e+00 -2.000000e+00 6.004848e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.004848e-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, 2017-26 ------------------------------------------------------------------- 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 7.586761e-01 51 1 26 3.830773e+02 2.282913e+02 1.834378e+00 4602 1 30 2.138334e+03 2.336430e+02 2.852094e+00 7674 1 38 8.025312e+02 2.352957e+02 3.911039e+00 10194 1 46 1.737622e+02 2.358930e+02 4.948085e+00 12054 1 58 4.114170e+01 2.360915e+02 5.954049e+00 13734 1 63 1.493193e+03 2.362190e+02 7.427627e+00 15909 1 73 3.670177e+02 2.363045e+02 8.575720e+00 17655 1 77 1.654348e+02 2.363524e+02 9.702585e+00 19191 1 100 4.969839e+02 2.364135e+02 1.409312e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.409312e+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, 2017-26 ------------------------------------------------------------------- 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.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 1.515783e+00 1400 1 20 -4.764789e+00 -4.394789e+00 1.790238e+00 2800 1 30 -4.672487e+00 -4.377000e+00 2.052402e+00 4200 1 40 -4.483495e+00 -4.370632e+00 2.318062e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.594726e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.879853e+00 8400 1 70 -4.849916e+00 -4.355337e+00 3.166874e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.452835e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.763672e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.101565e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.101565e+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, 2017-26 ------------------------------------------------------------------- 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.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 1.138339e+00 1050 1 20 -1.529197e+00 -1.471817e+00 1.225650e+00 1600 1 30 -1.410768e+00 -1.471408e+00 1.399169e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.848537e+00 3200 1 50 -1.002277e+00 -1.471216e+00 2.023871e+00 4250 1 60 -1.085156e+00 -1.471164e+00 2.106666e+00 4800 1 70 -1.391746e+00 -1.471164e+00 2.283882e+00 5850 1 80 -1.448703e+00 -1.471132e+00 2.374977e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.564151e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.667491e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.767015e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.872130e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.976973e+00 9650 1 140 -1.249746e+00 -1.471075e+00 3.087100e+00 10200 1 150 -1.536222e+00 -1.471075e+00 3.194588e+00 10750 1 160 -1.565422e+00 -1.471075e+00 3.315595e+00 11300 1 170 -1.631076e+00 -1.471075e+00 3.431896e+00 11850 1 180 -1.494909e+00 -1.471075e+00 3.546748e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.568526e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.568526e+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, 2017-26 ------------------------------------------------------------------- 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.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 2.861860e-01 54 1 20 3.336455e+05 3.402383e+05 2.988470e-01 104 1 30 3.993519e+05 3.403155e+05 3.114810e-01 158 1 40 3.337559e+05 3.403155e+05 3.227201e-01 208 1 48 3.337559e+05 3.403155e+05 3.335381e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.335381e-01 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 5.366461e-01 92 1 20 4.506600e+05 4.054833e+05 5.580051e-01 172 1 30 3.959476e+05 4.067125e+05 5.766821e-01 264 1 40 4.497721e+05 4.067125e+05 5.937381e-01 344 1 47 3.959476e+05 4.067125e+05 6.074660e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.074660e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 8.468336e+00 14 1 40 2.308500e+03 4.074139e+03 9.444781e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.444781e+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, 2017-26 ------------------------------------------------------------------- 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.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 3.312994e+00 8 1 5L 4.000000e+04 6.250000e+04 4.407915e+00 52 1 11L 4.000000e+04 6.250000e+04 5.474492e+00 100 1 17L 4.000000e+04 6.250000e+04 6.613439e+00 148 1 20L 6.000000e+04 6.250000e+04 7.303385e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.303385e+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, 2017-26 ------------------------------------------------------------------- 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.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 6.078770e-01 8 1 15 5.500000e+04 6.250000e+04 1.681938e+00 132 1 20 4.000000e+04 6.250000e+04 2.050812e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.050812e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.238970e+00 5 1 10 4.000000e+04 6.250000e+04 1.877422e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.877422e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 7.720680e-01 6 1 20L 9.000000e+00 9.000000e+00 8.955491e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.955491e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 2.723496e+00 87 1 10 -1.109375e+01 2.605769e-01 2.736051e+00 142 1 15 3.105797e+00 5.434132e-01 2.750002e+00 197 1 20 -2.463349e+01 1.503415e+00 2.764230e+00 252 1 25 -1.421085e-14 1.514085e+00 2.778151e+00 307 1 30 4.864000e+01 1.514085e+00 5.916972e+00 394 1 35 4.864000e+01 1.514085e+00 5.931130e+00 449 1 40 -8.870299e+00 1.514085e+00 5.946759e+00 504 1 45 -1.428571e+00 1.514085e+00 5.963240e+00 559 1 48 -1.428571e+00 1.514085e+00 5.974590e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.974590e+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, 2017-26 ------------------------------------------------------------------- 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.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 2.656363e+00 278 1 20 1.440356e+01 1.278425e+00 2.697950e+00 428 1 30 8.388546e+00 1.278425e+00 2.765943e+00 706 1 40 6.666667e-03 1.278410e+00 2.807592e+00 856 1 50 -5.614035e+00 1.278410e+00 2.878704e+00 1134 1 60 1.426676e+01 1.278410e+00 2.926259e+00 1284 1 64 1.261296e+01 1.278410e+00 2.947253e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.947253e+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, 2017-26 ------------------------------------------------------------------- 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.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 1.092296e+00 278 1 20 1.111084e+01 1.278410e+00 1.140012e+00 428 1 30 2.293779e+01 1.278410e+00 1.219638e+00 706 1 40 1.426676e+01 1.278410e+00 1.291947e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.291947e+00 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 2.694235e+00 1.060052e+01 7.129427e+00 900 1 20 5.498088e+00 1.456766e+01 7.605130e+00 1720 1 30 2.912197e+01 1.665921e+01 8.699216e+00 3036 1 40 1.608515e+01 1.792397e+01 1.036169e+01 4192 1 50 3.997965e+00 1.830624e+01 1.141367e+01 5020 1 60 1.102045e+01 1.840685e+01 1.261059e+01 5808 1 70 8.045596e+00 1.846781e+01 1.391992e+01 6540 1 80 4.710242e+01 1.851858e+01 1.480871e+01 7088 1 90 3.901806e+01 1.865685e+01 1.681562e+01 8180 1 100 8.003646e+00 1.869095e+01 1.774269e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.774269e+01 total solves : 8664 best bound : 1.869095e+01 simulation ci : 2.075231e+01 ± 4.077473e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 4.207754e+00 36 1 10 0.000000e+00 0.000000e+00 4.258688e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.258688e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 7.364988e-03 407 1 10 2.850000e+02 5.728212e+02 7.244611e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.244611e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 7.294893e-03 778 1 10 2.825000e+02 3.465177e+02 1.661119e-01 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.661119e-01 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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 7.331848e-03 1149 1 10 2.587500e+02 2.052799e+02 7.119489e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.119489e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 8.263111e-03 1520 1 10 2.875000e+02 4.661908e+02 7.713604e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.713604e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 7.715940e-03 1891 1 10 1.000000e+02 1.129771e+02 6.984496e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.984496e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 7.221937e-03 2262 1 10 1.625000e+02 2.794553e+02 7.137394e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.137394e-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, 2017-26 ------------------------------------------------------------------- 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 7.596016e-03 2633 1 10 5.487500e+02 4.077574e+02 7.895994e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.895994e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 9.135008e-03 3004 1 10 6.771875e+02 5.210100e+02 7.997704e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.997704e-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, 2017-26 ------------------------------------------------------------------- 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 7.069826e-03 3375 1 10 5.312500e+01 5.938345e+01 6.418586e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.418586e-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, 2017-26 ------------------------------------------------------------------- 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.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 2.504199e+00 235 1 10 1.000000e+01 9.159200e+00 3.005700e+00 310 1 15 1.000000e+01 9.159200e+00 3.550707e+00 385 1 20 1.000000e+01 9.159200e+00 4.079746e+00 460 1 25 1.000000e+01 9.159200e+00 6.967417e+00 695 1 30 4.000000e+00 9.159200e+00 7.470248e+00 770 1 35 1.000000e+01 9.159200e+00 7.961769e+00 845 1 40 1.000000e+01 9.159200e+00 8.485103e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.485103e+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, 2017-26 ------------------------------------------------------------------- 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.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 2.074625e+00 510 1 20 1.000000e+01 6.834387e+00 3.581116e+00 720 1 30 7.000000e+00 6.834387e+00 7.587162e+00 1230 1 40 1.000000e+01 6.823805e+00 9.340126e+00 1440 1 50 3.000000e+00 6.823805e+00 1.350304e+01 1950 1 60 2.000000e+00 6.823805e+00 1.517111e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.517111e+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, 2017-26 ------------------------------------------------------------------- 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.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 1.196040e+01 920 1 20 6.049875e+06 2.075240e+06 1.457376e+01 1340 1 30 5.496647e+05 2.078257e+06 2.465163e+01 2260 1 40 3.985383e+04 2.078257e+06 2.714936e+01 2680 1 50 2.994548e+05 2.078257e+06 3.721664e+01 3600 1 60 3.799457e+06 2.078257e+06 3.980433e+01 4020 1 61 3.549665e+06 2.078257e+06 4.005739e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.005739e+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, 2017-26 ------------------------------------------------------------------- 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.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 2.876504e+01 920 1 20L 2.799668e+06 2.079457e+06 4.834353e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.668927e+01 2260 1 40L 4.299882e+06 2.079457e+06 9.653732e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.653732e+01 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.188534e+02 3.583693e+00 1914 1 200 0.000000e+00 1.191645e+02 3.997709e+00 3840 1 300 7.500000e+01 1.191666e+02 4.448758e+00 5738 1 328 2.500000e+00 1.191667e+02 4.541162e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.541162e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 8.753510e-01 2806 1 200 0.000000e+00 1.191666e+02 1.398865e+00 4749 1 287 5.000000e+00 1.191667e+02 1.832244e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.832244e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 4.148500e-01 1033 1 20 8.000000e+00 2.000000e+01 4.439552e-01 1209 1 30 1.200000e+01 2.000000e+01 5.845101e-01 2304 1 40 3.000000e+01 2.000000e+01 6.713021e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.713021e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2) sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+01] bounds range [2e+01, 2e+02] rhs range [8e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.948878e+03 2.847167e+03 5.777369e-01 35 1 10 7.500000e+02 2.935390e+03 6.204290e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.204290e-01 total solves : 350 best bound : 2.935390e+03 simulation ci : 1.544902e+03 ± 5.533339e+02 numeric issues : 0 ------------------------------------------------------------------- Building and solving inner model for upper bounds: Node: 3 - elapsed time: 0.33 plus 0.71 for vertex selection. Node: 2 - elapsed time: 0.3 plus 0.21 for vertex selection. Node: 1 - elapsed time: 0.37 plus 0.02 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 1.9386665859999999 Bounds: Risk-neutral confidence interval: 1411.99 ± 82.02 Risk-adjusted lower bound: 2935.39 Risk-adjusted upper bound: 2969.68 [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 1.212811e-02 3 1 40 2.000000e+00 2.000000e+00 3.532691e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.532691e-01 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 1.369532e+00 1350 1 20 5.062500e+00 4.110713e+00 1.608643e+00 2700 1 30 4.500000e+00 4.104200e+00 1.842304e+00 4050 1 40 3.812500e+00 4.102669e+00 2.081695e+00 5400 1 50 4.725000e+00 4.095504e+00 2.321222e+00 6750 1 60 4.050000e+00 4.092999e+00 2.569344e+00 8100 1 70 4.606250e+00 4.091524e+00 2.830634e+00 9450 1 80 3.875000e+00 4.089694e+00 3.096552e+00 10800 1 90 3.750000e+00 4.089490e+00 3.366726e+00 12150 1 100 5.125000e+00 4.087894e+00 3.649182e+00 13500 1 110 4.500000e+00 4.087478e+00 3.929615e+00 14850 1 120 3.650000e+00 4.086704e+00 4.688887e+00 16200 1 130 4.406250e+00 4.086063e+00 4.984683e+00 17550 1 140 3.375000e+00 4.085981e+00 5.255160e+00 18900 1 150 3.000000e+00 4.085945e+00 5.545804e+00 20250 1 160 3.812500e+00 4.085838e+00 5.849865e+00 21600 1 170 4.250000e+00 4.085728e+00 6.150413e+00 22950 1 180 3.243750e+00 4.085593e+00 6.448072e+00 24300 1 190 4.306250e+00 4.085487e+00 6.750895e+00 25650 1 200 5.237500e+00 4.085446e+00 7.064519e+00 27000 1 210 4.500000e+00 4.085441e+00 7.374238e+00 28350 1 220 3.612500e+00 4.085405e+00 7.688147e+00 29700 1 230 3.700000e+00 4.085382e+00 8.003682e+00 31050 1 240 3.437500e+00 4.085254e+00 8.311890e+00 32400 1 250 4.100000e+00 4.085115e+00 8.627391e+00 33750 1 260 3.000000e+00 4.084973e+00 8.951379e+00 35100 1 270 4.918750e+00 4.084943e+00 9.276665e+00 36450 1 280 2.756250e+00 4.084920e+00 9.608304e+00 37800 1 290 3.737500e+00 4.084868e+00 9.938960e+00 39150 1 300 5.750000e+00 4.084868e+00 1.027973e+01 40500 1 310 5.156250e+00 4.084858e+00 1.062286e+01 41850 1 320 3.131250e+00 4.084855e+00 1.097919e+01 43200 1 330 4.125000e+00 4.084846e+00 1.131376e+01 44550 1 340 5.875000e+00 4.084820e+00 1.166281e+01 45900 1 350 4.587500e+00 4.084810e+00 1.201493e+01 47250 1 360 5.087500e+00 4.084805e+00 1.238624e+01 48600 1 370 4.393750e+00 4.084802e+00 1.274513e+01 49950 1 380 4.750000e+00 4.084792e+00 1.310437e+01 51300 1 390 4.437500e+00 4.084785e+00 1.346081e+01 52650 1 400 4.181250e+00 4.084785e+00 1.381640e+01 54000 1 410 3.650000e+00 4.084777e+00 1.431966e+01 55350 1 420 3.750000e+00 4.084769e+00 1.469011e+01 56700 1 430 3.725000e+00 4.084762e+00 1.504861e+01 58050 1 440 4.218750e+00 4.084751e+00 1.539985e+01 59400 1 450 5.500000e+00 4.084751e+00 1.574715e+01 60750 1 460 3.637500e+00 4.084747e+00 1.606947e+01 62100 1 470 2.993750e+00 4.084743e+00 1.640931e+01 63450 1 480 5.237500e+00 4.084743e+00 1.676189e+01 64800 1 490 4.212500e+00 4.084743e+00 1.707549e+01 66150 1 500 3.843750e+00 4.084743e+00 1.738766e+01 67500 1 510 3.425000e+00 4.084743e+00 1.769158e+01 68850 1 520 4.293750e+00 4.084743e+00 1.798630e+01 70200 1 530 2.818750e+00 4.084740e+00 1.831255e+01 71550 1 540 4.668750e+00 4.084740e+00 1.863246e+01 72900 1 550 2.750000e+00 4.084740e+00 1.897568e+01 74250 1 560 4.100000e+00 4.084740e+00 1.936766e+01 75600 1 570 3.200000e+00 4.084738e+00 1.975248e+01 76950 1 577 3.450000e+00 4.084738e+00 2.002615e+01 77895 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.002615e+01 total solves : 77895 best bound : 4.084738e+00 simulation ci : 4.069454e+00 ± 6.302055e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.000000e+00 6.506930e+00 1.087170e+00 1350 1 20 3.750000e+00 5.612327e+00 1.824235e+00 2700 1 30 5.643750e+00 4.406617e+00 2.826501e+00 4050 1 40 3.162500e+00 4.338752e+00 3.911569e+00 5400 1 50 3.900000e+00 4.047225e+00 5.248825e+00 6750 1 60 4.275000e+00 4.046024e+00 6.645035e+00 8100 1 70 3.031250e+00 4.045570e+00 8.372877e+00 9450 1 80 4.000000e+00 4.044498e+00 1.037154e+01 10800 1 90 3.812500e+00 4.039696e+00 1.279986e+01 12150 1 100 4.875000e+00 4.039624e+00 1.547387e+01 13500 1 110 4.000000e+00 4.039297e+00 1.834597e+01 14850 1 116 4.218750e+00 4.039198e+00 2.011411e+01 15660 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.011411e+01 total solves : 15660 best bound : 4.039198e+00 simulation ci : 4.029604e+00 ± 1.388882e-01 numeric issues : 0 ------------------------------------------------------------------- ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 85 running 1 of 1 signal (10): User defined signal 1 _ZL10solveHyperiPKiS0_PKdS0_S0_S0_S2_P11HVectorBaseIdE.lto_priv.697 at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZNK7HFactor6ftranUER11HVectorBaseIdEdP15HighsTimerClock at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZNK7HFactor9ftranCallER11HVectorBaseIdEdP15HighsTimerClock at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZNK11HSimplexNla5ftranER11HVectorBaseIdEdP15HighsTimerClock at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual11updateFtranEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual7iterateEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual11solvePhase2Ev at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual5solveEb at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN4HEkk5solveEb at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZZ7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEENKUlvE_clEv.lto_priv.5818 at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _Z7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs11callSolveLpER7HighsLpNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZZN5Highs19calledOptimizeModelEvENKUlR7HighsLpRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERdE_clES1_S9_SA_.isra.508 at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs19calledOptimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/gen/libhighs.jl:328:0 [inlined] _Highs_run_workaround_issue_316 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2253:0 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 [inlined] disable_sigint at ./c.jl:167:0 (pc: 4) optimize! at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 (pc: 249) optimize! at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Bridges/bridge_optimizer.jl:367:0 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Utilities/cachingoptimizer.jl:379:0 (pc: 139) unknown function (ip: 0x75626c1dc2d2) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:610:0 (pc: 345) optimize! at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:560:0 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:518:0 (pc: 53) solve_subproblem at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:492:0 (pc: 7) unknown function (ip: 0x75624bbb52f7) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1383:0 (pc: 510) _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1335:0 [inlined] #227 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:72:0 [inlined] iterate at ./generator.jl:48:0 [inlined] collect_to! at ./array.jl:914:0 [inlined] collect_to_with_first! at ./array.jl:869:0 [inlined] _collect at ./array.jl:863:0 (pc: 88) collect_similar at ./array.jl:768:0 [inlined] map at ./abstractarray.jl:3468:0 [inlined] #_simulate#225 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:71:0 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:63:0 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1552:0 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:0 (pc: 29) simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:0 [inlined] #newsvendor_example#210 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:74:0 (pc: 53) newsvendor_example at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:35:0 (pc: 5) unknown function (ip: 0x75624bba93b2) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:0 (pc: 599) util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:0 (pc: 4) unknown function (ip: 0x75626c1cbc12) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 eval_body at /source/src/interpreter.c:563:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 425) _start at ./client.jl:596:0 (pc: 294) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] true_main at /source/src/jlapi.c:971:29 jl_repl_entrypoint at /source/src/jlapi.c:1138:15 main at /source/cli/loader_exe.c:58:15 unknown function (ip: 0x75628a218249) 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. Disabling --trace-compile ============================================================== [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:524:34 wait at ./task.jl:1248:0 (pc: 107) wait_forever at ./task.jl:1170:0 (pc: 4) jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] start_task at /source/src/task.c:1275:19 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000075626fbfc010 Total snapshots: 217. Utilization: 100% ╎217 @Base/client.jl:596 _start() ╎ 217 @Base/client.jl:321 exec_options(opts::Base.JLOptions) ╎ 217 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ 217 @Base/Base.jl:328 (::Base.IncludeInto)(fname::String) ╎ 217 @Base/Base.jl:327 include(mapexpr::Function, mod::Module, _path::S… ╎ 217 @Base/loading.jl:3192 _include(mapexpr::Function, mod::Module, _p… ╎ ╎ 217 @Base/loading.jl:3132 include_string(mapexpr::typeof(identity), … ╎ ╎ 217 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ ╎ 217 …j/test/runtests.jl:11 util_test_directory(dir::String) ╎ ╎ 217 …j/test/runtests.jl:15 util_test_directory(dir::String, exclu… ╎ ╎ 217 @Test/src/Test.jl:2246 macro expansion ╎ ╎ ╎ 217 …/test/runtests.jl:17 macro expansion ╎ ╎ ╎ 217 @Base/Base.jl:328 (::Base.IncludeInto)(fname::String) ╎ ╎ ╎ 217 @Base/Base.jl:327 include(mapexpr::Function, mod::Module,… ╎ ╎ ╎ 217 @Base/loading.jl:3192 _include(mapexpr::Function, mod::M… ╎ ╎ ╎ 217 @Base/loading.jl:3132 include_string(mapexpr::typeof(id… ╎ ╎ ╎ ╎ 217 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 217 …e_newsvendor.jl:35 kwcall(::@NamedTuple{cut_type::SD… ╎ ╎ ╎ ╎ 217 …_newsvendor.jl:74 newsvendor_example(; cut_type::SD… ╎ ╎ ╎ ╎ 217 @SDDP/…rithm.jl:1541 simulate(model::SDDP.PolicyGra… ╎ ╎ ╎ ╎ 217 @SDDP/…rithm.jl:1541 simulate(model::SDDP.PolicyGr… ╎ ╎ ╎ ╎ ╎ 217 @SDDP/…ithm.jl:1552 simulate(model::SDDP.PolicyGr… ╎ ╎ ╎ ╎ ╎ 217 @SDDP/…hemes.jl:63 kwcall(::@NamedTuple{sampling… ╎ ╎ ╎ ╎ ╎ 217 @SDDP/…emes.jl:71 _simulate(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 217 @Base/…ray.jl:3468 map(f::SDDP.var"#227#228"{B… ╎ ╎ ╎ ╎ ╎ 217 @Base/…ray.jl:768 collect_similar(cont::UnitR… ╎ ╎ ╎ ╎ ╎ ╎ 217 @Base/…ray.jl:863 _collect(c::UnitRange{Int6… ╎ ╎ ╎ ╎ ╎ ╎ 217 @Base/…ay.jl:869 collect_to_with_first!(des… ╎ ╎ ╎ ╎ ╎ ╎ 217 @Base/…ay.jl:914 collect_to!(dest::Vector{… ╎ ╎ ╎ ╎ ╎ ╎ 217 @Base/…or.jl:48 iterate(g::Base.Generator… ╎ ╎ ╎ ╎ ╎ ╎ 217 @SDDP/…es.jl:72 (::SDDP.var"#227#228"{Ba… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 217 @SDDP/…hm.jl:1335 kwcall(::@NamedTuple{… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:1345 _simulate(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…es.jl:286 sample_scenario(grap… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…es.jl:251 sample_noise(noise_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ce.jl:564 sum(a::Base.Genera… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ce.jl:564 sum(a::Base.Gener… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ce.jl:535 sum(f::typeof(id… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ce.jl:535 sum(f::typeof(i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ce.jl:306 mapreduce(f::t… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ce.jl:306 mapreduce(f::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ce.jl:173 mapfoldl(f::t… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ce.jl:173 mapfoldl(f::t… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ce.jl:42 mapfoldl_impl(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ce.jl:46 foldl_impl(op:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ce.jl:60 _foldl_impl(op… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Base/…ce.jl:98 (::Base.Mappin… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @SDDP/…es.jl:251 (::SDDP.var"#… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Base/…er.jl:58 getproperty(x:… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:1356 _simulate(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 210 @SDDP/…hm.jl:1383 _simulate(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 210 @SDDP/…hm.jl:492 kwcall(::@NamedTuple… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:504 solve_subproblem(mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:175 set_incoming_state… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1220 fix(variable::Va… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1226 fix(variable::V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1239 _moi_fix(moi_b… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:644 set(m::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:615 _repla… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @MathOptInterface/…:1553 set(b… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @MathOptInterface/…:1511 _set_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @HiGHS/…r.jl:1662 set(model::H… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @HiGHS/…s.jl:1669 Highs_change… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 205 @SDDP/…hm.jl:518 solve_subproblem(mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 205 @JuMP/…ce.jl:560 optimize!(model::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 205 @JuMP/…ce.jl:610 optimize!(model::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 205 @MathOptInterface/…:379 optimize!… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 205 @MathOptInterface/…:367 optimize… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 202 @HiGHS/…r.jl:2300 optimize!(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 202 @Base/c.jl:167 disable_sigint(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 202 @HiGHS/…r.jl:2300 (::HiGHS.var… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 202 @HiGHS/…r.jl:2253 _Highs_run_w… 201╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 202 @HiGHS/…s.jl:328 Highs_run(hig… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2302 optimize!(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @HiGHS/…r.jl:2307 optimize!(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2118 _store_solut… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @HiGHS/…s.jl:2686 Highs_getNum… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2131 _store_solut… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @HiGHS/…s.jl:945 Highs_getSolu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @SDDP/…hm.jl:533 solve_subproblem(mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @SDDP/…hm.jl:191 get_outgoing_state… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @JuMP/…es.jl:2091 value(v::Variabl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @JuMP/…es.jl:2092 value(v::Variab… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @JuMP/…ce.jl:1240 get(model::Mod… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…ce.jl:1200 _moi_get_resu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:944 get(mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @MathOptInterface/…:64 getinde… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @MathOptInterface/…:168 getind… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @OrderedCollections/…:387 geti… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ls.jl:1040 getindex(A::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:199 get_outgoing_state… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:960 lower_bound(v::Va… 3╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @SDDP/…hm.jl:1394 _simulate(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:104 Dict{Symbol, Any}(::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…le.jl:74 iterate(t::Tuple{Pai… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…le.jl:33 getindex(t::Tuple{P… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:1405 _simulate(model::SDD… ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007089e80046a0 Total snapshots: 446. Utilization: 0% ╎446 @Base/task.jl:1170 wait_forever() 445╎ 446 @Base/task.jl:1248 wait() [85] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/sldp_example_one.jl:49 _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs19calledOptimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/gen/libhighs.jl:328:0 [inlined] _Highs_run_workaround_issue_316 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2253:0 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 [inlined] disable_sigint at ./c.jl:167:0 (pc: 4) optimize! at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 (pc: 249) optimize! at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Bridges/bridge_optimizer.jl:367:0 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Utilities/cachingoptimizer.jl:379:0 (pc: 139) unknown function (ip: 0x75626c1dc2d2) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:610:0 (pc: 345) optimize! at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:560:0 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:518:0 (pc: 53) solve_subproblem at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:492:0 (pc: 7) unknown function (ip: 0x75624c13e27c) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1383:0 (pc: 367) _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1335:0 [inlined] #227 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:72:0 [inlined] iterate at ./generator.jl:48:0 [inlined] collect_to! at ./array.jl:914:0 [inlined] collect_to_with_first! at ./array.jl:869:0 [inlined] _collect at ./array.jl:863:0 (pc: 88) collect_similar at ./array.jl:768:0 [inlined] map at ./abstractarray.jl:3468:0 [inlined] #_simulate#225 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:71:0 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:63:0 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1552:0 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:0 (pc: 41) simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:0 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:326:0 (pc: 12) convergence_test at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:395:0 (pc: 31) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 convergence_test at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/headers.jl:93:0 (pc: 37) iteration at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1000:0 (pc: 926) #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:51:0 (pc: 3) disable_sigint at ./c.jl:167:0 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:50:0 (pc: 7) unknown function (ip: 0x75626c1e131d) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 #train#91 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1292:0 (pc: 456) train at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1117:0 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/sldp_example_one.jl:44:0 (pc: 16) unknown function (ip: 0x75624bbb9fbf) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:0 (pc: 599) util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:0 (pc: 4) unknown function (ip: 0x75626c1cbc12) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 eval_body at /source/src/interpreter.c:563:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 425) _start at ./client.jl:596:0 (pc: 294) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] true_main at /source/src/jlapi.c:971:29 jl_repl_entrypoint at /source/src/jlapi.c:1138:15 main at /source/cli/loader_exe.c:58:15 unknown function (ip: 0x75628a218249) 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: 725484133 (Pool: 725480806; Big: 3327); GC: 138 PkgEval terminated after 2722.6s: test duration exceeded the time limit