Package evaluation to test SDDP on Julia 1.14.0-DEV.2033 (8c59e8e9f1*) started at 2026-04-14T19:12:30.035 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.88s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [f4570300] + SDDP v1.13.1 Updating `~/.julia/environments/v1.14/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.7.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.3.3 [cd3eb016] + HTTP v1.11.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.5.0 [4076af6c] + JuMP v1.30.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.50.1 [739be429] + MbedTLS v1.1.10 [d8a4904e] + MutableArithmetics v1.7.1 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.6.1 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.1 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.7.2 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.7.1 [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 v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2026.3.19 [4536629a] + OpenBLAS_jll v0.3.30+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 Installation completed after 6.37s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 30.0 s ✓ SDDP 61.3 s ✓ Ipopt → IpoptMathOptInterfaceExt 2 dependencies successfully precompiled in 94 seconds. 212 already precompiled. Precompilation completed after 125.67s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_X1dPiC/Project.toml` [87dc4568] HiGHS v1.23.0 [b6b21f68] Ipopt v1.14.1 [682c06a0] JSON v1.5.0 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.6 [f4570300] SDDP v1.13.1 [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_X1dPiC/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.7.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [f0e56b4a] ConcurrentUtilities v2.5.1 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.4 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [c87230d0] FFMPEG v0.4.5 [53c48c17] FixedPointNumbers v0.8.5 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.3.3 [28b8d3ca] GR v0.73.24 [42e2da0e] Grisu v1.0.2 [cd3eb016] HTTP v1.11.0 [87dc4568] HiGHS v1.23.0 [b6b21f68] Ipopt v1.14.1 [92d709cd] IrrationalConstants v0.2.6 [1019f520] JLFzf v0.1.11 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.5.0 [7d188eb4] JSONSchema v1.5.0 [4076af6c] JuMP v1.30.0 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.10 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [1914dd2f] MacroTools v0.5.16 [8c4f8055] MathOptIIS v0.2.0 [b8f27783] MathOptInterface v1.50.1 [739be429] MbedTLS v1.1.10 [442fdcdd] Measures v0.3.3 [e1d29d7a] Missings v1.2.0 [d8a4904e] MutableArithmetics v1.7.1 [77ba4419] NaNMath v1.1.3 [4d8831e6] OpenSSL v1.6.1 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 [ccf2f8ad] PlotThemes v3.3.0 [995b91a9] PlotUtils v1.4.4 [91a5bcdd] Plots v1.41.6 [aea7be01] PrecompileTools v1.3.3 [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 v1.13.1 [6c6a2e73] Scratch v1.3.0 [992d4aef] Showoff v1.0.3 [777ac1f9] SimpleBufferStream v1.2.0 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.7.2 [860ef19b] StableRNGs v1.0.4 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [ec057cc2] StructUtils v2.7.1 [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 v1.18.6+0 [ee1fde0b] Dbus_jll v1.16.2+0 [2702e6a9] EpollShim_jll v0.0.20230411+1 [2e619515] Expat_jll v2.7.3+0 [b22a6f82] FFMPEG_jll v8.0.1+1 [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 v0.73.24+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 v1.14.0+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 v0.3.30+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [91d4177d] Opus_jll v1.6.1+0 [36c8627f] Pango_jll v1.57.0+0 ⌅ [30392449] Pixman_jll v0.44.2+0 [c0090381] Qt6Base_jll v6.10.2+1 [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 v0.18.1+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 v2.44.0+0 [c5fb5394] Xorg_xtrans_jll v1.6.0+0 [35ca27e7] eudev_jll v3.2.14+0 [214eeab7] fzf_jll v0.61.1+0 [a4ae2306] libaom_jll v3.13.1+0 [0ac62f75] libass_jll v0.17.4+0 [1183f4f0] libdecor_jll v0.2.2+0 [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 v1.6.57+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 v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.19.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2026.3.19 [4536629a] OpenBLAS_jll v0.3.30+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 v1.68.1+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 10.75 for vertex selection. Node: 2 - elapsed time: 0.32 plus 0.3 for vertex selection. Node: 1 - elapsed time: 0.32 plus 0.3 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 12.412884137999999 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/ScjyB/src/Inner.jl:1048 Node: 19 - elapsed time: 0.39 plus 0.36 for vertex selection. Node: 18 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 17 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 16 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 15 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 14 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 13 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 12 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 11 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 10 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 9 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 8 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 7 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 6 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 5 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 4 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 3 - elapsed time: 0.49 plus 0.35 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/ScjyB/src/algorithm.jl:401 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 6.019518e-01 4 1 3 0.000000e+00 0.000000e+00 1.168890e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.168890e+00 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.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 4.819219e-01 9 1 2 7.500000e+04 1.075000e+05 1.557300e+00 42 1 20 7.500000e+04 1.075000e+05 1.605464e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.605464e+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/ScjyB/src/algorithm.jl:1181 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1181 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 2.218603e+00 12 1 10 2.500000e+00 3.361111e+01 2.244751e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.244751e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 5.941961e-01 12 1 10 2.500000e+00 3.361111e+01 6.256690e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.256690e-01 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.090884e-02 46 1 50 0.000000e+00 1.191663e+02 4.941719e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.941719e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.071811e-02 46 1 50 0.000000e+00 1.191663e+02 9.146600e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.146600e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 3.759073e+00 103 1 3S -5.785826e+01 -6.755367e+01 5.488762e+00 309 1 4S -6.230988e+01 -6.688020e+01 6.523095e+00 412 1 5S -7.577792e+01 -6.680771e+01 7.676991e+00 515 1 6S -6.064080e+01 -6.678327e+01 8.839726e+00 618 1 7S -6.493167e+01 -6.677772e+01 9.868738e+00 721 1 15S -4.168889e+01 -6.677644e+01 1.572763e+01 1545 1 25S -4.168889e+01 -6.677644e+01 2.153256e+01 2575 1 35S -3.268889e+01 -6.677644e+01 2.738880e+01 3605 1 43S -8.368889e+01 -6.677644e+01 3.260954e+01 4429 1 53S -4.868889e+01 -6.677644e+01 3.863620e+01 5459 1 63S -8.068889e+01 -6.677644e+01 4.472269e+01 6489 1 73S -7.168889e+01 -6.677644e+01 5.081793e+01 7519 1 83S -7.168889e+01 -6.677644e+01 5.686316e+01 8549 1 93S -6.068889e+01 -6.677644e+01 6.288224e+01 9579 1 100 -8.368889e+01 -6.677644e+01 6.651455e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.651455e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 8.947849e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.947849e-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/ScjyB/src/algorithm.jl:1181 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [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 3.830524e+02 2 3 20 9.000000e+00 6.000000e+00 3.883007e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.883007e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.200000e+00 ± 1.041026e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1181 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 6.455321e-01 48 1 20 9.000000e+00 6.000000e+00 1.084104e+00 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.084104e+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/ScjyB/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 1.917949e-01 4 1 50 0.000000e+00 0.000000e+00 6.405919e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 6.405919e-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/ScjyB/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 8.261580e+00 5 1 20 0.000000e+00 -1.000000e+01 8.997920e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.997920e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.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 4.130800e-01 52 1 10 -2.396000e+01 -2.396000e+01 4.219050e-01 92 1 15 -4.260000e+01 -2.396000e+01 4.313090e-01 132 1 20 -2.396000e+01 -2.396000e+01 4.422350e-01 172 1 25 -5.320000e+00 -2.396000e+01 4.562800e-01 224 1 30 -5.320000e+00 -2.396000e+01 4.695749e-01 264 1 35 -2.396000e+01 -2.396000e+01 4.837101e-01 304 1 40 -2.396000e+01 -2.396000e+01 4.987171e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.987171e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 889ms / 54.3% 10.9MiB / 57.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 250ms 51.9% 6.26ms 5.44MiB 87.0% 139KiB solve_subproblem 160 223ms 46.2% 1.39ms 721KiB 11.3% 4.51KiB get_dual_solution 160 1.60ms 0.3% 10.0μs 185KiB 2.9% 1.16KiB prepare_backward_pass 160 162μs 0.0% 1.01μs 15.0KiB 0.2% 96.0B forward_pass 40 220ms 45.6% 5.50ms 648KiB 10.1% 16.2KiB solve_subproblem 120 217ms 44.9% 1.81ms 475KiB 7.4% 3.96KiB get_dual_solution 120 44.0μs 0.0% 367ns 13.1KiB 0.2% 112B sample_scenario 40 677μs 0.1% 16.9μs 22.3KiB 0.3% 572B calculate_bound 40 12.3ms 2.6% 308μs 182KiB 2.8% 4.54KiB get_dual_solution 40 18.6μs 0.0% 465ns 4.38KiB 0.1% 112B get_dual_solution 36 12.7μs 0.0% 354ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.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 4.534109e-01 52 1 10 -2.396000e+01 -2.396000e+01 4.626839e-01 92 1 15 -2.396000e+01 -2.396000e+01 4.734600e-01 132 1 20 -4.260000e+01 -2.396000e+01 4.862380e-01 172 1 25 -5.320000e+00 -2.396000e+01 5.032539e-01 224 1 30 -2.396000e+01 -2.396000e+01 5.202088e-01 264 1 35 -2.396000e+01 -2.396000e+01 5.412998e-01 304 1 40 -5.320000e+00 -2.396000e+01 5.637670e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.637670e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 572ms / 92.7% 12.8MiB / 94.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 288ms 54.4% 7.21ms 11.2MiB 93.2% 286KiB solve_subproblem 160 30.8ms 5.8% 192μs 722KiB 5.9% 4.51KiB get_dual_solution 160 1.56ms 0.3% 9.76μs 185KiB 1.5% 1.16KiB prepare_backward_pass 160 209μs 0.0% 1.31μs 15.0KiB 0.1% 96.0B forward_pass 40 228ms 42.9% 5.69ms 648KiB 5.3% 16.2KiB solve_subproblem 120 224ms 42.3% 1.87ms 475KiB 3.9% 3.96KiB get_dual_solution 120 49.0μs 0.0% 409ns 13.1KiB 0.1% 112B sample_scenario 40 716μs 0.1% 17.9μs 22.5KiB 0.2% 575B calculate_bound 40 14.2ms 2.7% 355μs 183KiB 1.5% 4.58KiB get_dual_solution 40 19.3μs 0.0% 483ns 4.38KiB 0.0% 112B get_dual_solution 36 13.3μs 0.0% 369ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 5.056250e-01 5 1 2 -2.500000e+00 -2.000000e+00 5.092421e-01 14 1 3 -1.000000e+00 -2.000000e+00 5.272510e-01 19 1 4 -1.000000e+00 -2.000000e+00 5.284872e-01 24 1 5 -1.000000e+00 -2.000000e+00 5.293691e-01 29 1 6 -3.000000e+00 -2.000000e+00 5.301981e-01 34 1 7 -1.000000e+00 -2.000000e+00 5.310462e-01 39 1 8 -1.000000e+00 -2.000000e+00 5.321271e-01 44 1 9 -3.000000e+00 -2.000000e+00 5.339670e-01 49 1 10 -1.000000e+00 -2.000000e+00 5.359371e-01 54 1 11 -3.000000e+00 -2.000000e+00 5.381610e-01 59 1 12 -3.000000e+00 -2.000000e+00 5.404341e-01 64 1 13 -1.000000e+00 -2.000000e+00 5.423870e-01 69 1 14 -1.000000e+00 -2.000000e+00 5.434861e-01 74 1 15 -3.000000e+00 -2.000000e+00 5.447052e-01 79 1 16 -1.000000e+00 -2.000000e+00 5.468481e-01 84 1 17 -3.000000e+00 -2.000000e+00 5.490072e-01 89 1 18 -3.000000e+00 -2.000000e+00 5.512621e-01 94 1 19 -1.000000e+00 -2.000000e+00 5.535321e-01 99 1 20 -3.000000e+00 -2.000000e+00 5.553720e-01 104 1 21 -1.000000e+00 -2.000000e+00 5.576732e-01 113 1 22 -1.000000e+00 -2.000000e+00 5.599902e-01 118 1 23 -3.000000e+00 -2.000000e+00 5.624361e-01 123 1 24 -3.000000e+00 -2.000000e+00 5.648682e-01 128 1 25 -1.000000e+00 -2.000000e+00 5.670691e-01 133 1 26 -3.000000e+00 -2.000000e+00 5.691171e-01 138 1 27 -3.000000e+00 -2.000000e+00 5.703661e-01 143 1 28 -1.000000e+00 -2.000000e+00 5.717480e-01 148 1 29 -3.000000e+00 -2.000000e+00 5.741141e-01 153 1 30 -3.000000e+00 -2.000000e+00 5.764282e-01 158 1 31 -1.000000e+00 -2.000000e+00 5.788610e-01 163 1 32 -1.000000e+00 -2.000000e+00 5.812840e-01 168 1 33 -1.000000e+00 -2.000000e+00 5.839021e-01 173 1 34 -3.000000e+00 -2.000000e+00 5.858850e-01 178 1 35 -1.000000e+00 -2.000000e+00 5.883551e-01 183 1 36 -3.000000e+00 -2.000000e+00 5.903120e-01 188 1 37 -1.000000e+00 -2.000000e+00 5.918851e-01 193 1 38 -1.000000e+00 -2.000000e+00 5.942211e-01 198 1 39 -1.000000e+00 -2.000000e+00 5.959921e-01 203 1 40 -1.000000e+00 -2.000000e+00 5.973780e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.973780e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 9.171171e-01 51 1 21 8.151871e+01 2.236176e+02 1.931287e+00 3723 1 30 2.138334e+03 2.336430e+02 3.625064e+00 7674 1 37 2.591724e+01 2.349207e+02 4.634260e+00 9459 1 42 8.695951e+02 2.357672e+02 5.991474e+00 11586 1 52 3.990085e+02 2.360402e+02 7.027653e+00 13056 1 63 1.493193e+03 2.362190e+02 9.113043e+00 15909 1 98 5.715017e+02 2.364082e+02 1.451608e+01 23094 1 100 4.969839e+02 2.364135e+02 1.532577e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.532577e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.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 1.527320e+00 1400 1 20 -4.764789e+00 -4.394789e+00 1.832080e+00 2800 1 30 -4.672487e+00 -4.377000e+00 2.153010e+00 4200 1 40 -4.483495e+00 -4.370632e+00 2.461446e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.758186e+00 7000 1 60 -4.362455e+00 -4.358864e+00 3.092318e+00 8400 1 70 -4.849916e+00 -4.355337e+00 3.437613e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.800534e+00 11200 1 90 -4.268264e+00 -4.350407e+00 4.164795e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.531522e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.531522e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.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 1.069391e+00 1050 1 20 -1.529197e+00 -1.471817e+00 1.162103e+00 1600 1 30 -1.410768e+00 -1.471408e+00 1.358693e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.459043e+00 3200 1 50 -1.002277e+00 -1.471216e+00 1.686035e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.802874e+00 4800 1 70 -1.391746e+00 -1.471164e+00 2.041492e+00 5850 1 80 -1.448703e+00 -1.471132e+00 2.150624e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.401145e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.538041e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.662410e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.793627e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.916948e+00 9650 1 140 -1.249746e+00 -1.471075e+00 3.048461e+00 10200 1 150 -1.536222e+00 -1.471075e+00 3.178403e+00 10750 1 160 -1.565422e+00 -1.471075e+00 3.324639e+00 11300 1 170 -1.631076e+00 -1.471075e+00 3.470985e+00 11850 1 180 -1.494909e+00 -1.471075e+00 4.040868e+00 12400 1 182 -9.083563e-01 -1.471075e+00 4.066801e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.066801e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.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 3.650818e-01 54 1 20 3.336455e+05 3.402383e+05 3.793628e-01 104 1 30 3.993519e+05 3.403155e+05 3.921118e-01 158 1 40 3.337559e+05 3.403155e+05 4.046328e-01 208 1 48 3.337559e+05 3.403155e+05 4.165418e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.165418e-01 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 5.441010e-01 92 1 20 4.506600e+05 4.054833e+05 5.659778e-01 172 1 30 3.959476e+05 4.067125e+05 5.848439e-01 264 1 40 4.497721e+05 4.067125e+05 6.057179e-01 344 1 47 3.959476e+05 4.067125e+05 6.213648e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.213648e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 9.378248e+00 14 1 40 2.308500e+03 4.074139e+03 1.042867e+01 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.042867e+01 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.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 3.050398e+00 8 1 5L 4.000000e+04 6.250000e+04 4.182875e+00 52 1 11L 3.625000e+04 6.625000e+04 5.359451e+00 100 1 17L 4.000000e+04 7.000000e+04 6.653396e+00 148 1 21L 5.500000e+04 7.000000e+04 7.656339e+00 192 1 25L 4.000000e+04 7.000000e+04 8.768331e+00 224 1 30L 4.000000e+04 7.000000e+04 9.782400e+00 264 1 54L 6.000000e+04 7.000000e+04 1.491540e+01 468 1 76L 4.000000e+04 7.000000e+04 2.017931e+01 656 1 99L 6.000000e+04 7.000000e+04 2.519429e+01 852 1 100L 9.500000e+04 7.000000e+04 2.530034e+01 860 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.530034e+01 total solves : 860 best bound : 7.000000e+04 simulation ci : 6.175000e+04 ± 3.934820e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 70000.0 air_conditioning.jl: Test Failed at /home/pkgeval/.julia/packages/SDDP/ScjyB/docs/src/examples/air_conditioning.jl:60 Expression: isapprox(lb, 62500.0, atol = 0.1) Evaluated: isapprox(70000.0, 62500.0; atol = 0.1) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [2] air_conditioning_model(duality_handler::SDDP.LagrangianDuality{Nothing}) @ Main ~/.julia/packages/SDDP/ScjyB/docs/src/examples/air_conditioning.jl:60 [3] top-level scope @ ~/.julia/packages/SDDP/ScjyB/docs/src/examples/air_conditioning.jl:73 [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:327 [5] IncludeInto @ ./Base.jl:328 [inlined] [6] macro expansion @ ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:16 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [8] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:14 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 5.132911e-01 8 1 13 6.000000e+04 6.250000e+04 1.554576e+00 116 1 24 6.000000e+04 6.250000e+04 2.629375e+00 216 1 36 9.500000e+04 6.250000e+04 3.708347e+00 312 1 40 9.500000e+04 6.250000e+04 4.041383e+00 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.041383e+00 total solves : 344 best bound : 6.250000e+04 simulation ci : 6.412500e+04 ± 6.757715e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.106727e+00 5 1 10 4.000000e+04 6.250000e+04 1.804988e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.804988e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 7.579050e-01 6 1 20L 9.000000e+00 9.000000e+00 9.124322e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.124322e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 2.487897e+00 87 1 10 -1.109375e+01 2.605769e-01 2.500465e+00 142 1 15 3.105797e+00 5.434132e-01 2.514392e+00 197 1 20 -2.463349e+01 1.503415e+00 2.529310e+00 252 1 25 -1.421085e-14 1.514085e+00 2.542121e+00 307 1 30 4.864000e+01 1.514085e+00 4.801523e+00 394 1 35 4.864000e+01 1.514085e+00 4.817551e+00 449 1 40 -8.870299e+00 1.514085e+00 4.835013e+00 504 1 45 -1.428571e+00 1.514085e+00 4.853867e+00 559 1 48 -1.428571e+00 1.514085e+00 4.867522e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.867522e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.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 2.638361e+00 278 1 20 1.440356e+01 1.278425e+00 2.671120e+00 428 1 30 8.388546e+00 1.278425e+00 2.728389e+00 706 1 40 6.666667e-03 1.278410e+00 2.764451e+00 856 1 50 -5.614035e+00 1.278410e+00 2.828908e+00 1134 1 60 1.426676e+01 1.278410e+00 2.876192e+00 1284 1 64 1.261296e+01 1.278410e+00 2.896527e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.896527e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.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 1.337793e+00 278 1 20 1.111084e+01 1.278410e+00 1.391488e+00 428 1 30 2.293779e+01 1.278410e+00 1.482038e+00 706 1 40 1.426676e+01 1.278410e+00 1.571766e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.571766e+00 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 7.502365e+00 900 1 20 6.374753e+00 1.361934e+01 7.960773e+00 1720 1 30 2.848217e+01 1.624016e+01 9.028882e+00 3036 1 40 1.973944e+01 1.776547e+01 1.012126e+01 4192 1 50 4.000000e+00 1.889360e+01 1.097524e+01 5020 1 60 1.142478e+01 1.907862e+01 1.198898e+01 5808 1 70 9.386421e+00 1.961295e+01 1.306059e+01 6540 1 80 5.667851e+01 1.890911e+01 1.387314e+01 7088 1 90 3.740597e+01 1.993139e+01 1.569176e+01 8180 1 100 9.867183e+00 2.001688e+01 1.648639e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.648639e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 4.681935e+00 36 1 10 0.000000e+00 0.000000e+00 4.726649e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.726649e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 6.999969e-03 407 1 10 2.850000e+02 5.728212e+02 6.676507e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.676507e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 6.786108e-03 778 1 10 2.825000e+02 3.465177e+02 7.014012e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.014012e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 7.930994e-03 1149 1 10 2.587500e+02 2.052799e+02 7.625699e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.625699e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 8.579969e-03 1520 1 10 2.875000e+02 4.661908e+02 8.385706e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.385706e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 8.451939e-03 1891 1 10 1.000000e+02 1.129771e+02 7.362700e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.362700e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 8.697033e-03 2262 1 10 1.625000e+02 2.794553e+02 8.337307e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.337307e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 8.681059e-03 2633 1 10 5.487500e+02 4.077574e+02 8.352590e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.352590e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 9.742975e-03 3004 1 10 6.771875e+02 5.210100e+02 8.847809e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.847809e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.919954e-03 3375 1 10 5.312500e+01 5.938345e+01 7.996416e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.996416e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.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 2.222377e+00 235 1 10 1.000000e+01 9.159200e+00 2.743863e+00 310 1 15 1.000000e+01 9.159200e+00 3.241865e+00 385 1 20 1.000000e+01 9.159200e+00 3.765382e+00 460 1 25 1.000000e+01 9.159200e+00 6.612538e+00 695 1 30 4.000000e+00 9.159200e+00 7.074738e+00 770 1 35 1.000000e+01 9.159200e+00 7.518233e+00 845 1 40 1.000000e+01 9.159200e+00 8.038323e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.038323e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.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 2.152201e+00 510 1 20 1.000000e+01 6.834387e+00 3.947650e+00 720 1 30 7.000000e+00 6.834387e+00 8.130328e+00 1230 1 40 1.000000e+01 6.823805e+00 9.882199e+00 1440 1 50 3.000000e+00 6.823805e+00 1.418327e+01 1950 1 60 2.000000e+00 6.823805e+00 1.594212e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.594212e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.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 1.255801e+01 920 1 20 6.049875e+06 2.075240e+06 1.579824e+01 1340 1 30 5.496647e+05 2.078257e+06 2.651717e+01 2260 1 40 3.985383e+04 2.078257e+06 2.920717e+01 2680 1 50 2.994548e+05 2.078257e+06 3.973629e+01 3600 1 60 3.799457e+06 2.078257e+06 4.246917e+01 4020 1 61 3.549665e+06 2.078257e+06 4.272625e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.272625e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.005012e+01 920 1 20L 2.799668e+06 2.079457e+06 5.003565e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.837077e+01 2260 1 40L 4.299882e+06 2.079457e+06 9.792873e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.792873e+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, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.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 3.040812e+00 1914 1 200 0.000000e+00 1.191645e+02 3.492598e+00 3840 1 300 7.500000e+01 1.191666e+02 3.952472e+00 5738 1 328 2.500000e+00 1.191667e+02 4.055527e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.055527e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.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 1.399205e+00 2806 1 200 0.000000e+00 1.191666e+02 1.917257e+00 4749 1 287 5.000000e+00 1.191667e+02 2.327346e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.327346e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 4.057891e-01 1033 1 20 8.000000e+00 2.000000e+01 2.060938e+00 1209 1 30 1.200000e+01 2.000000e+01 2.207846e+00 2304 1 40 3.000000e+01 2.000000e+01 2.322687e+00 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.322687e+00 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2) sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+01] bounds range [2e+01, 2e+02] rhs range [8e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.948878e+03 2.847167e+03 8.983221e-01 35 1 10 7.500000e+02 2.935390e+03 9.658771e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.658771e-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: 0.35 plus 0.59 for vertex selection. Node: 2 - elapsed time: 0.3 plus 0.17 for vertex selection. Node: 1 - elapsed time: 0.42 plus 0.13 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 1.953346591 Bounds: Risk-neutral confidence interval: 1411.99 ± 82.02 Risk-adjusted lower bound: 2935.39 Risk-adjusted upper bound: 2969.68 [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 1.650400e-01 3 1 40 2.000000e+00 2.000000e+00 3.805180e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.805180e-01 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.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 1.385465e+00 1350 1 20 5.062500e+00 4.110713e+00 1.569033e+00 2700 1 30 4.500000e+00 4.104200e+00 1.776590e+00 4050 1 40 3.812500e+00 4.102669e+00 2.010698e+00 5400 1 50 4.725000e+00 4.095504e+00 2.232931e+00 6750 1 60 4.050000e+00 4.092999e+00 2.392544e+00 8100 1 70 4.606250e+00 4.091524e+00 2.602880e+00 9450 1 80 3.875000e+00 4.089694e+00 2.851676e+00 10800 1 90 3.750000e+00 4.089490e+00 3.104420e+00 12150 1 100 5.125000e+00 4.087894e+00 3.341534e+00 13500 1 110 4.500000e+00 4.087478e+00 3.577452e+00 14850 1 120 3.650000e+00 4.086704e+00 3.819303e+00 16200 1 130 4.406250e+00 4.086063e+00 4.084661e+00 17550 1 140 3.375000e+00 4.085981e+00 4.332615e+00 18900 1 150 3.000000e+00 4.085945e+00 5.050915e+00 20250 1 160 3.812500e+00 4.085838e+00 5.311838e+00 21600 1 170 4.250000e+00 4.085728e+00 5.576716e+00 22950 1 180 3.243750e+00 4.085593e+00 5.841790e+00 24300 1 190 4.306250e+00 4.085487e+00 6.105942e+00 25650 1 200 5.237500e+00 4.085446e+00 6.381762e+00 27000 1 210 4.500000e+00 4.085441e+00 6.648144e+00 28350 1 220 3.612500e+00 4.085405e+00 6.934971e+00 29700 1 230 3.700000e+00 4.085382e+00 7.208386e+00 31050 1 240 3.437500e+00 4.085254e+00 7.476549e+00 32400 1 250 4.100000e+00 4.085115e+00 7.749120e+00 33750 1 260 3.000000e+00 4.084973e+00 8.035361e+00 35100 1 270 4.918750e+00 4.084943e+00 8.340976e+00 36450 1 280 2.756250e+00 4.084920e+00 8.676501e+00 37800 1 290 3.737500e+00 4.084868e+00 9.028899e+00 39150 1 300 5.750000e+00 4.084868e+00 9.354310e+00 40500 1 310 5.156250e+00 4.084858e+00 9.688934e+00 41850 1 320 3.131250e+00 4.084855e+00 1.004086e+01 43200 1 330 4.125000e+00 4.084846e+00 1.039165e+01 44550 1 340 5.875000e+00 4.084820e+00 1.076796e+01 45900 1 350 4.587500e+00 4.084810e+00 1.115039e+01 47250 1 360 5.087500e+00 4.084805e+00 1.154451e+01 48600 1 370 4.393750e+00 4.084802e+00 1.192583e+01 49950 1 380 4.750000e+00 4.084792e+00 1.229696e+01 51300 1 390 4.437500e+00 4.084785e+00 1.266851e+01 52650 1 400 4.181250e+00 4.084785e+00 1.300079e+01 54000 1 410 3.650000e+00 4.084777e+00 1.338001e+01 55350 1 420 3.750000e+00 4.084769e+00 1.373895e+01 56700 1 430 3.725000e+00 4.084762e+00 1.407756e+01 58050 1 440 4.218750e+00 4.084751e+00 1.442789e+01 59400 1 450 5.500000e+00 4.084751e+00 1.478554e+01 60750 1 460 3.637500e+00 4.084747e+00 1.516466e+01 62100 1 470 2.993750e+00 4.084743e+00 1.556197e+01 63450 1 480 5.237500e+00 4.084743e+00 1.598930e+01 64800 1 490 4.212500e+00 4.084743e+00 1.634299e+01 66150 1 500 3.843750e+00 4.084743e+00 1.692114e+01 67500 1 510 3.425000e+00 4.084743e+00 1.728505e+01 68850 1 520 4.293750e+00 4.084743e+00 1.764123e+01 70200 1 530 2.818750e+00 4.084740e+00 1.803449e+01 71550 1 540 4.668750e+00 4.084740e+00 1.842124e+01 72900 1 550 2.750000e+00 4.084740e+00 1.881701e+01 74250 1 560 4.100000e+00 4.084740e+00 1.923057e+01 75600 1 570 3.200000e+00 4.084738e+00 1.963825e+01 76950 1 580 3.525000e+00 4.084738e+00 2.001560e+01 78300 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001560e+01 total solves : 78300 best bound : 4.084738e+00 simulation ci : 4.066606e+00 ± 6.280462e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.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 3.943750e+00 6.785967e+00 8.727250e-01 1350 1 20 4.456250e+00 6.293984e+00 1.500517e+00 2700 1 30 4.781250e+00 4.407882e+00 2.501582e+00 4050 1 40 4.500000e+00 4.339647e+00 3.611015e+00 5400 1 50 2.987500e+00 4.047494e+00 4.888285e+00 6750 1 60 5.000000e+00 4.046095e+00 6.418562e+00 8100 1 70 3.437500e+00 4.045905e+00 8.196715e+00 9450 1 80 3.000000e+00 4.043370e+00 1.026167e+01 10800 1 90 2.956250e+00 4.039715e+00 1.279641e+01 12150 1 100 3.375000e+00 4.039614e+00 1.569282e+01 13500 1 110 4.875000e+00 4.039224e+00 1.892176e+01 14850 1 114 3.812500e+00 4.039203e+00 2.024315e+01 15390 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.024315e+01 total solves : 15390 best bound : 4.039203e+00 simulation ci : 4.003869e+00 ± 1.367266e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.219176e+00 1.165102e+00 1.956956e+01 1680 1 20 2.078810e+00 1.166281e+00 2.114472e+01 2560 1 30 3.973033e+00 1.166907e+00 2.287816e+01 3440 1 40 3.706337e+00 1.167312e+00 3.962833e+01 5120 1 50 3.158565e+00 1.167416e+00 4.132287e+01 6000 1 60 3.642642e+00 1.167416e+00 5.800801e+01 7680 1 70 3.451253e+00 1.167416e+00 5.971655e+01 8560 1 71 2.984727e+00 1.167416e+00 5.985172e+01 8648 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.985172e+01 total solves : 8648 best bound : 1.167416e+00 simulation ci : 3.293853e+00 ± 1.130135e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_two.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.000000e+01 -5.809615e+01 1.057074e+00 78 1 20 -4.000000e+01 -5.809615e+01 1.780269e+00 148 1 30 -4.000000e+01 -5.809615e+01 2.579246e+00 226 1 40 -4.700000e+01 -5.809615e+01 3.354216e+00 296 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.354216e+00 total solves : 296 best bound : -5.809615e+01 simulation ci : -5.346250e+01 ± 7.152725e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 9.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -6.300000e+01 -6.196125e+01 1.221328e+00 138 1 20 -4.000000e+01 -6.196125e+01 1.986352e+00 258 1 30 -7.500000e+01 -6.196125e+01 3.001360e+00 396 1 40 -4.000000e+01 -6.196125e+01 3.749194e+00 516 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.749194e+00 total solves : 516 best bound : -6.196125e+01 simulation ci : -6.108750e+01 ± 7.148463e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 3.60000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -7.000000e+01 -6.546793e+01 1.501197e+00 462 1 20 -5.600000e+01 -6.546793e+01 2.225253e+00 852 1 30 -4.000000e+01 -6.546793e+01 4.567041e+00 1314 1 40 -4.000000e+01 -6.546793e+01 5.320279e+00 1704 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.320279e+00 total solves : 1704 best bound : -6.546793e+01 simulation ci : -5.991250e+01 ± 5.174250e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: stochastic_all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 1.366667e+01 1.125447e+00 11 1 7L 6.000000e+00 8.000000e+00 2.288412e+00 158 1 12L 6.000000e+00 8.000000e+00 3.435693e+00 213 1 16L 1.200000e+01 8.000000e+00 4.448392e+00 257 1 21L 1.200000e+01 8.000000e+00 6.290743e+00 393 1 26L 6.000000e+00 8.000000e+00 7.392591e+00 448 1 31L 1.200000e+01 8.000000e+00 8.515710e+00 503 1 36L 6.000000e+00 8.000000e+00 9.696313e+00 558 1 40L 6.000000e+00 8.000000e+00 1.086030e+01 602 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.086030e+01 total solves : 602 best bound : 8.000000e+00 simulation ci : 8.400000e+00 ± 9.462496e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: the_farmers_problem.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 3 scenarios : 3.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 19] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 16] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 2e+01] objective range [1e+00, 1e+03] bounds range [6e+03, 5e+05] rhs range [2e+02, 5e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -9.800000e+04 4.922260e+05 1.027515e+00 6 1 40 1.093500e+05 1.083900e+05 1.076910e+00 240 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.076910e+00 total solves : 240 best bound : 1.083900e+05 simulation ci : 9.772505e+04 ± 1.969816e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: vehicle_location.jl Test Summary: | Pass Fail Total Time SDDP.jl | 2452 3 2455 42m07.4s Experimental.jl | 35 35 7m42.3s Inner.jl | 25 25 3m04.5s MSPFormat.jl | 51 51 22.3s algorithm.jl | 40 40 1m25.1s binary_expansion.jl | 38 38 4.8s deterministic_equivalent.jl | 21 21 34.1s modeling_aids.jl | 47 47 23.5s user_interface.jl | 119 119 1m14.6s backward_sampling_schemes.jl | 1203 1203 6.7s bellman_functions.jl | 45 45 1m00.2s duality_handlers.jl | 362 362 3m17.7s forward_passes.jl | 40 40 25.1s local_improvement_search.jl | 12 12 24.6s parallel_schemes.jl | 19 19 9m29.5s risk_measures.jl | 91 91 17.8s sampling_schemes.jl | 158 158 25.1s stopping_rules.jl | 40 40 19.4s threaded.jl | 0 0.5s value_functions.jl | 28 28 31.8s visualization.jl | 9 2 11 1m16.0s test_PublicationPlot | 5 5 21.1s test_PublicationPlot_different_lengths | 1 1 1.1s test_SpaghettiPlot | 3 2 5 9.7s FAST_hydro_thermal.jl | 3 3 15.1s FAST_production_management.jl | 2 2 5.8s FAST_quickstart.jl | 2 2 2.5s Hydro_thermal.jl | 0 20.8s StochDynamicProgramming.jl_multistock.jl | 3 3 17.0s StochDynamicProgramming.jl_stock.jl | 3 3 6.7s StructDualDynProg.jl_prob5.2_2stages.jl | 1 1 4.5s StructDualDynProg.jl_prob5.2_3stages.jl | 2 2 3.4s agriculture_mccardle_farm.jl | 2 2 18.1s air_conditioning.jl | 5 1 6 32.1s air_conditioning_forward.jl | 2 2 3.8s all_blacks.jl | 1 1 2.5s asset_management_simple.jl | 1 1 6.6s asset_management_stagewise.jl | 2 2 7.3s belief.jl | 1 1 21.8s biobjective_hydro.jl | 10 10 9.3s booking_management.jl | 2 2 32.5s generation_expansion.jl | 2 2 2m38.9s hydro_valley.jl | 9 9 19.0s infinite_horizon_hydro_thermal.jl | 4 4 10.1s infinite_horizon_trivial.jl | 1 1 3.1s inner_hydro_1d.jl | 1 1 10.0s no_strong_duality.jl | 1 1 1.7s objective_state_newsvendor.jl | 4 4 51.1s sldp_example_one.jl | 1 1 1m15.5s sldp_example_two.jl | 3 3 17.4s stochastic_all_blacks.jl | 1 1 16.8s the_farmers_problem.jl | 0 6.5s vehicle_location.jl | 0 0.1s RNG of the outermost testset: Xoshiro(0x19d601bbab1a9542, 0xa62378dd652c69bd, 0x86047d6d415b766c, 0x29a2117c98aabb83, 0xcdc559de4e14432a) ====================================================================================== 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 19 running 1 of 1 signal (10): User defined signal 1 _ZN4llvm15ValueHandleBase17RemoveFromUseListEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass20assignBlockRPONumberERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass16performScalarPREEPNS_11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass19processNonLocalLoadEPNS_8LoadInstE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass18processInstructionEPNS_11InstructionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass12processBlockEPNS_10BasicBlockE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass17iterateOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass7runImplERNS_8FunctionERNS_15AssumptionCacheERNS_13DominatorTreeERKNS_17TargetLibraryInfoERNS_9AAResultsEPNS_23MemoryDependenceResultsERNS_8LoopInfoEPNS_25OptimizationRemarkEmitterEPNS_9MemorySSAE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:977 operator() at /source/src/jitlayers.cpp:1301 operator() at /source/src/jitlayers.cpp:1438 [inlined] optimizeModule at /source/src/jitlayers.cpp:2358 materialize at /source/src/jitlayers.cpp:883 _ZN4llvm3orc19MaterializationTask3runEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) process_tasks at /source/src/julia-task-dispatcher.h:370 [inlined] work_until at /source/src/julia-task-dispatcher.h:352 wait at /source/src/julia-task-dispatcher.h:84 [inlined] get at /source/src/julia-task-dispatcher.h:171 [inlined] publishCIs at /source/src/jitlayers.cpp:2069 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:496 jl_compile_method_internal at /source/src/gf.c:3652 _jl_invoke at /source/src/gf.c:4105 [inlined] ijl_apply_generic at /source/src/gf.c:4339 display_error at ./client.jl:121 jfptr_display_error_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2301 [inlined] jl_f_invokelatest at /source/src/builtins.c:910 _start at ./client.jl:615 jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2301 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x723c535bb249) 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 ============================================================== ERROR: LoadError: Some tests did not pass: 2452 passed, 3 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:24┌ 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 0x0000723c38dfc010 Total snapshots: 15. Utilization: 100% ╎14 @Base/client.jl:615 _start() 13╎ 14 @Base/client.jl:121 display_error(stack::Base.ExceptionStack) Testing failed after 2535.49s ====================================================================================== 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 1 of 1 signal (10): User defined signal 1 _ZNK4llvm12MachineInstr13isIdenticalToERKS0_NS0_11MICheckTypeE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm20ScopedHashTableScopeIPNS_12MachineInstrEjNS_27MachineInstrExpressionTraitENS_18RecyclingAllocatorINS_20BumpPtrAllocatorImplINS_15MallocAllocatorELm4096ELm4096ELm128EEENS_18ScopedHashTableValIS2_jEELm32ELm8EEEED1Ev at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_114MachineCSEImpl9ExitScopeEPN4llvm17MachineBasicBlockE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_114MachineCSEImpl10PerformCSEEPN4llvm15DomTreeNodeBaseINS1_17MachineBasicBlockEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_114MachineCSEImpl3runERN4llvm15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_116MachineCSELegacy20runOnMachineFunctionERN4llvm15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) operator() at /source/src/jitlayers.cpp:1417 compileModule at /source/src/jitlayers.cpp:2366 materialize at /source/src/jitlayers.cpp:884 _ZN4llvm3orc19MaterializationTask3runEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) process_tasks at /source/src/julia-task-dispatcher.h:370 [inlined] work_until at /source/src/julia-task-dispatcher.h:352 wait at /source/src/julia-task-dispatcher.h:84 [inlined] get at /source/src/julia-task-dispatcher.h:171 [inlined] publishCIs at /source/src/jitlayers.cpp:2069 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:496 jl_compile_method_internal at /source/src/gf.c:3652 _jl_invoke at /source/src/gf.c:4105 [inlined] ijl_apply_generic at /source/src/gf.c:4339 display_error at ./client.jl:121 jfptr_display_error_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2301 [inlined] jl_f_invokelatest at /source/src/builtins.c:910 exec_options at ./client.jl:355 _start at ./client.jl:593 jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2301 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7bf2bc89b249) 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) #= 1398.6 ms =# precompile(Tuple{typeof(Base.display_error), Base.PipeEndpoint, Base.ExceptionStack}) ERROR: #= 59.6 ms =# precompile(Tuple{typeof(Core.kwcall), NamedTuple{(:backtrace,), Tuple{Bool}}, typeof(Base.showerror), Base.IOContext{Base.PipeEndpoint}, LoadError, Array{Base.StackTraces.StackFrame, 1}}) LoadError: ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== Package SDDP errored during testing Stacktrace: ┌ 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 0x00007bf2a21fc010 Total snapshots: 193. Utilization: 100% ╎174 @Base/client.jl:593 _start() ╎ 174 @Base/client.jl:355 exec_options(opts::Base.JLOptions) 125╎ 174 @Base/client.jl:121 display_error(stack::Base.ExceptionStack) ╎ 48 @Base/client.jl:118 display_error(io::Base.PipeEndpoint, stack::Bas… 16╎ 48 @Base/errorshow.jl:1114 show_exception_stack(io::IOContext{Base.Pi… ╎ 6 @Compiler/…peinfer.jl:1727 typeinf_ext_toplevel(mi::Core.MethodIn… ╎ ╎ 4 @Compiler/…einfer.jl:1718 typeinf_ext_toplevel ╎ ╎ 4 @Compiler/…einfer.jl:1535 typeinf_ext(interp::Compiler.NativeIn… ╎ ╎ 3 @Compiler/…tation.jl:4814 typeinf(interp::Compiler.NativeInter… ╎ ╎ 3 @Compiler/…ation.jl:4536 typeinf_local(interp::Compiler.Nativ… ╎ ╎ 3 @Compiler/…ation.jl:3952 abstract_eval_basic_statement ╎ ╎ ╎ 3 @Compiler/…tion.jl:3995 abstract_eval_basic_statement ╎ ╎ ╎ 3 @Compiler/…tion.jl:3588 abstract_eval_statement_expr(inter… ╎ ╎ ╎ 3 @Compiler/…tion.jl:3224 abstract_eval_call ╎ ╎ ╎ 3 @Compiler/…ion.jl:3206 abstract_call(interp::Compiler.Na… ╎ ╎ ╎ 3 @Compiler/…ion.jl:3042 abstract_call ╎ ╎ ╎ ╎ 3 @Compiler/…on.jl:3049 abstract_call(interp::Compiler.N… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:2828 abstract_call_known(interp::Com… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:2101 abstract_call_builtin(interp::… 1╎ ╎ ╎ ╎ 1 @Compiler/…s.jl:2863 builtin_tfunction(interp::Comp… ╎ ╎ ╎ ╎ 2 @Compiler/…on.jl:2941 abstract_call_known(interp::Com… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:131 abstract_call_gf_by_type(interp… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:344 kwcall(::@NamedTuple{max_metho… ╎ ╎ ╎ ╎ 1 @Compiler/…n.jl:351 #find_method_matches#133 ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…n.jl:391 find_simple_method_matches(in… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:102 findall ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:111 findall(sig::Type, table::Co… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:70 findall ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:70 #findall#5 ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…jl:97 _findall 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:1603 _methods_by_ftype ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:340 abstract_call_gf_by_type(interp… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:178 (::Compiler.var"#infercalls#ab… ╎ ╎ ╎ ╎ 1 @Compiler/…n.jl:769 abstract_call_method(interp::C… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:1145 typeinf_edge(interp::Compiler… ╎ ╎ ╎ ╎ ╎ 1 @Base/…nals.jl:1777 specialize_method 1╎ ╎ ╎ ╎ ╎ 1 @Base/…nals.jl:1790 #specialize_method#6 ╎ ╎ 1 @Compiler/…tation.jl:4821 typeinf(interp::Compiler.NativeInter… ╎ ╎ 1 @Compiler/…einfer.jl:278 finish_nocycle(interp::Compiler.Nati… ╎ ╎ 1 @Compiler/…imize.jl:1021 optimize(interp::Compiler.NativeInt… ╎ ╎ ╎ 1 @Compiler/…mize.jl:1048 run_passes_ipo_safe ╎ ╎ ╎ 1 @Compiler/…mize.jl:1035 run_passes_ipo_safe(ci::Core.CodeI… ╎ ╎ ╎ 1 @Compiler/…sses.jl:2201 adce_pass!(ir::Compiler.IRCode, i… ╎ ╎ ╎ 1 @Compiler/…/ir.jl:1913 iterate ╎ ╎ ╎ 1 @Compiler/…/ir.jl:1991 iterate_compact(compact::Compile… ╎ ╎ ╎ ╎ 1 @Compiler/…ir.jl:1574 process_node!(compact::Compiler.… ╎ ╎ ╎ ╎ 1 @Compiler/…ir.jl:1388 renumber_ssa2!(stmt::Any, ssanu… ╎ ╎ ╎ ╎ 1 @Compiler/…ir.jl:666 setindex! ╎ ╎ ╎ ╎ 1 @Compiler/…ir.jl:632 _useref_setindex!(stmt::Any, o… 1╎ ╎ ╎ ╎ 1 @Base/…tials.jl:1046 setindex! ╎ ╎ 2 @Compiler/…einfer.jl:1719 typeinf_ext_toplevel 2╎ ╎ 2 @Compiler/…einfer.jl:1712 add_codeinsts_to_jit!(interp::Compile… ╎ 26 @Base/errorshow.jl:115 kwcall(::@NamedTuple{backtrace::Bool}, ::t… ╎ ╎ 26 @Base/errorshow.jl:117 showerror(io::IOContext{Base.PipeEndpoint… ╎ ╎ 26 @Compiler/…einfer.jl:1727 typeinf_ext_toplevel(mi::Core.MethodI… ╎ ╎ 26 @Compiler/…einfer.jl:1718 typeinf_ext_toplevel ╎ ╎ 26 @Compiler/…infer.jl:1535 typeinf_ext(interp::Compiler.NativeI… ╎ ╎ 1 @Compiler/…ation.jl:4805 typeinf(interp::Compiler.NativeInte… ╎ ╎ ╎ 1 @Compiler/…tate.jl:1235 doworkloop(interp::Compiler.NativeI… ╎ ╎ ╎ 1 @Compiler/…tion.jl:189 (::Compiler.var"#handle1#abstract_c… ╎ ╎ ╎ 1 @Compiler/…tion.jl:902 abstract_call_method_with_const_ar… ╎ ╎ ╎ 1 @Compiler/…tion.jl:933 abstract_call_method_with_const_a… ╎ ╎ ╎ 1 @Compiler/…ion.jl:1399 const_prop_call(interp::Compiler… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:4821 typeinf(interp::Compiler.NativeI… ╎ ╎ ╎ ╎ 1 @Compiler/…er.jl:278 finish_nocycle(interp::Compiler.… ╎ ╎ ╎ ╎ 1 @Compiler/…ze.jl:1021 optimize(interp::Compiler.Nati… ╎ ╎ ╎ ╎ 1 @Compiler/…e.jl:1048 run_passes_ipo_safe ╎ ╎ ╎ ╎ 1 @Compiler/…e.jl:1035 run_passes_ipo_safe(ci::Core.… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…g.jl:76 ssa_inlining_pass! ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:1613 assemble_inline_todo!(ir::Co… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:1366 handle_call! ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…jl:1334 compute_inlining_cases(info… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…jl:1270 handle_any_call_result! ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1281 handle_any_call_result!(ca… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1374 handle_call_result! ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1385 handle_call_result!(case… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:870 analyze_method! ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:904 analyze_method!(call_re… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:851 resolve_todo(mi::Core.… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:935 retrieve_ir_for_inlin… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:929 retrieve_ir_for_inli… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:207 DebugInfo ╎ ╎ 24 @Compiler/…ation.jl:4814 typeinf(interp::Compiler.NativeInte… ╎ ╎ ╎ 23 @Compiler/…tion.jl:4536 typeinf_local(interp::Compiler.Nati… ╎ ╎ ╎ 23 @Compiler/…tion.jl:3952 abstract_eval_basic_statement ╎ ╎ ╎ 23 @Compiler/…tion.jl:3995 abstract_eval_basic_statement ╎ ╎ ╎ 23 @Compiler/…ion.jl:3588 abstract_eval_statement_expr(inte… ╎ ╎ ╎ 23 @Compiler/…ion.jl:3224 abstract_eval_call ╎ ╎ ╎ ╎ 23 @Compiler/…on.jl:3206 abstract_call(interp::Compiler.N… ╎ ╎ ╎ ╎ 23 @Compiler/…on.jl:3042 abstract_call ╎ ╎ ╎ ╎ 23 @Compiler/…on.jl:3049 abstract_call(interp::Compiler… ╎ ╎ ╎ ╎ 1 @Compiler/…n.jl:2793 abstract_call_known(interp::Co… ╎ ╎ ╎ ╎ 1 @Compiler/…n.jl:1990 abstract_apply(interp::Compil… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:1970 (::Compiler.var"#infercalls#a… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:3049 abstract_call(interp::Compil… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:2941 abstract_call_known(interp:… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:340 abstract_call_gf_by_type(in… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…jl:178 (::Compiler.var"#infercalls… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…jl:769 abstract_call_method(inter… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1231 typeinf_edge(interp::Comp… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:626 InferenceState 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:128 retrieve_code_info(mi::C… ╎ ╎ ╎ ╎ 22 @Compiler/…n.jl:2941 abstract_call_known(interp::Co… 1╎ ╎ ╎ ╎ 1 @Compiler/…n.jl:131 abstract_call_gf_by_type(inter… ╎ ╎ ╎ ╎ 21 @Compiler/…n.jl:340 abstract_call_gf_by_type(inter… ╎ ╎ ╎ ╎ ╎ 21 @Compiler/…n.jl:259 (::Compiler.var"#infercalls#a… ╎ ╎ ╎ ╎ ╎ 20 @Compiler/….jl:189 (::Compiler.var"#handle1#abst… ╎ ╎ ╎ ╎ ╎ 20 @Compiler/….jl:902 abstract_call_method_with_co… ╎ ╎ ╎ ╎ ╎ 20 @Compiler/….jl:933 abstract_call_method_with_c… ╎ ╎ ╎ ╎ ╎ 20 @Compiler/…jl:1399 const_prop_call(interp::Co… ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:4814 typeinf(interp::Compiler.N… ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:4536 typeinf_local(interp::Com… ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:3952 abstract_eval_basic_stat… ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:3995 abstract_eval_basic_sta… ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:3588 abstract_eval_statemen… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:3224 abstract_eval_call ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:3206 abstract_call(interp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:3042 abstract_call ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:3049 abstract_call(inte… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:2941 abstract_call_kno… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:340 abstract_call_gf_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:259 (::Compiler.var"… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:189 (::Compiler.var… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:902 abstract_call_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Compiler/…l:933 abstract_call… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 14 @Compiler/…l:1399 const_prop_c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 8 @Compiler/…l:4814 typeinf(inte… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 7 @Compiler/…l:4536 typeinf_loca… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 7 @Compiler/…l:3952 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 7 @Compiler/…l:3995 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 7 @Compiler/…l:3588 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 7 @Compiler/…l:3224 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 7 @Compiler/…l:3206 abstract_cal… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 7 @Compiler/…l:3042 abstract_call ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 7 @Compiler/…l:3049 abstract_cal… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +11 7 @Compiler/…l:2941 abstract_cal… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +12 2 @Compiler/…l:131 abstract_call… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +13 1 @Compiler/…l:344 kwcall(::@Nam… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +14 1 @Compiler/…l:351 #find_method_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +15 1 @Compiler/…l:391 find_simple_m… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +16 1 @Compiler/…l:102 findall ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +17 1 @Compiler/…l:105 findall(sig::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +18 1 @Compiler/…l:70 findall ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +19 1 @Compiler/…l:70 #findall#5 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +20 1 @Compiler/…l:97 _findall 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +21 1 @Base/…ls.jl:1603 _methods_by_… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +13 1 @Base/…ot.jl:914 NamedTuple ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +12 5 @Compiler/…l:340 abstract_call… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +13 4 @Compiler/…l:259 (::Compiler.v… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +14 4 @Compiler/…l:189 (::Compiler.v… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +15 4 @Compiler/…l:902 abstract_call… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +16 4 @Compiler/…l:933 abstract_call… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +17 1 @Compiler/…l:1364 const_prop_c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +18 1 @Compiler/…l:1493 matching_cac… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +19 1 @Compiler/…l:100 is_argtype_ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +17 3 @Compiler/…l:1399 const_prop_c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +18 1 @Compiler/…l:4814 typeinf(inte… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +19 1 @Compiler/…l:4536 typeinf_loca… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +20 1 @Compiler/…l:3952 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +21 1 @Compiler/…l:3995 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +22 1 @Compiler/…l:3588 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +23 1 @Compiler/…l:3219 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +24 1 @Compiler/…l:3177 collect_argt… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +25 1 @Compiler/…l:3167 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +26 1 @Compiler/…l:3135 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +27 1 @Compiler/…l:3887 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +28 1 @Compiler/…l:3863 scan_leaf_pa… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +29 1 @Compiler/…l:3858 scan_specifi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +18 2 @Compiler/…l:4821 typeinf(inte… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +19 2 @Compiler/…l:278 finish_nocycl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +20 2 @Compiler/…l:1021 optimize(int… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +21 2 @Compiler/…l:1048 run_passes_i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +22 2 @Compiler/…l:1035 run_passes_i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +23 1 @Compiler/…l:1330 slot2reg ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +24 1 @Compiler/…l:45 scan_slot_def_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +25 1 @Compiler/…l:29 scan_entry!(re… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +26 1 @Compiler/…l:605 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +27 1 @Compiler/…l:538 _useref_getin… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +28 1 @Compiler/…l:0 _useref_getinde… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +23 1 @Compiler/…l:2188 compact! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +24 1 @Compiler/…l:2190 compact!(cod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +25 1 @Compiler/…l:1913 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +26 1 @Compiler/…l:1991 iterate_comp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +27 1 @Compiler/…l:1637 process_node… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +28 1 @Compiler/…l:1377 renumber_ssa… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +29 1 @Compiler/…l:687 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +30 1 @Compiler/…l:688 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +31 1 @Compiler/…l:680 _advance(stmt… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +32 1 @Compiler/…l:536 _useref_getin… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +33 1 @Compiler/…l:0 _useref_getinde… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +13 1 @Compiler/…l:279 (::Compiler.v… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +14 1 @Compiler/…l:434 from_interpro… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +15 1 @Compiler/…l:526 from_intercon… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +16 1 @Compiler/…l:295 #⋤##0 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +17 1 @Compiler/…l:169 ⋤ ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +18 1 @Compiler/…l:371 ⊑ ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +19 1 @Compiler/…l:426 ⊑(𝕃::Compiler… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +20 1 @Compiler/…l:413 ⊑ 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Compiler/…l:4577 typeinf_loca… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 6 @Compiler/…l:4821 typeinf(inte… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 6 @Compiler/…l:278 finish_nocycl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 5 @Compiler/…l:1021 optimize(int… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 5 @Compiler/…l:1048 run_passes_i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 5 @Compiler/…l:1035 run_passes_i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 3 @Compiler/…l:76 ssa_inlining_p… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Compiler/…l:1580 assemble_inl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 1 @Compiler/…l:1245 process_simp… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 1 @Compiler/…l:1109 is_builtin ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 2 @Compiler/…l:1613 assemble_inl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 2 @Compiler/…l:1366 handle_call! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 2 @Compiler/…l:1334 compute_inli… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +11 2 @Compiler/…l:1270 handle_any_c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +12 2 @Compiler/…l:1281 handle_any_c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +13 2 @Compiler/…l:1374 handle_call_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +14 1 @Compiler/…l:1385 handle_call_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +15 1 @Compiler/…l:870 analyze_metho… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +16 1 @Compiler/…l:904 analyze_metho… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +17 1 @Compiler/…l:850 resolve_todo(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +18 1 @Compiler/…l:70 add_inlining_e… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +19 1 @Compiler/…l:355 add_inlining_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +14 1 @Compiler/…l:1387 handle_call_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +15 1 @Base/…ay.jl:1368 push! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +16 1 @Base/…ay.jl:1371 _push! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +17 1 @Base/…ay.jl:1228 _growend! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +18 1 @Base/…ay.jl:1204 _growend_int… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +19 1 @Base/…ay.jl:1124 array_new_me… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +20 1 @Base/…ot.jl:654 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Compiler/…l:79 ssa_inlining_p… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Compiler/…l:685 batch_inline!… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 1 @Compiler/…l:2161 finish ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 1 @Compiler/…l:2130 simple_dce! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +11 1 @Compiler/…l:2137 simple_dce!(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Compiler/…l:1448 sroa_pass!(i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Compiler/…l:5 is_known_call(x… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 1 @Compiler/…l:482 argextype ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 1 @Compiler/…l:483 argextype ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +11 1 @Compiler/…l:518 argextype(x::… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +12 1 @Compiler/…l:3737 abstract_eva… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Compiler/…l:1022 optimize(int… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Compiler/…l:998 ipo_dataflow_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Compiler/…l:287 scan!(callbac… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Compiler/…l:801 scan_non_data… ╎ ╎ ╎ ╎ ╎ ╎ 6 @Compiler/…l:4821 typeinf(interp::Compiler.N… ╎ ╎ ╎ ╎ ╎ ╎ 6 @Compiler/…l:278 finish_nocycle(interp::Com… ╎ ╎ ╎ ╎ ╎ ╎ 5 @Compiler/…l:1021 optimize(interp::Compile… ╎ ╎ ╎ ╎ ╎ ╎ 5 @Compiler/…l:1048 run_passes_ipo_safe ╎ ╎ ╎ ╎ ╎ ╎ 5 @Compiler/…l:1035 run_passes_ipo_safe(ci… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1329 slot2reg ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:476 construct_domtree ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:477 construct_domtree ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:242 construct_domtree(b… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:260 update_domtree! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:0 compute_domtree_nod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1332 slot2reg ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:894 construct_ssa!(ci::Co… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:399 domsort_ssa!(ir::Com… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:267 Compiler.Instructio… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:714 Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:654 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:76 ssa_inlining_pass! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1613 assemble_inline_todo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1366 handle_call! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1334 compute_inlining_c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1270 handle_any_call_r… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1281 handle_any_call_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1374 handle_call_res… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1385 handle_call_re… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:870 analyze_method! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:904 analyze_metho… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 @Compiler/…l:851 resolve_todo(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Compiler/…l:934 retrieve_ir_f… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Compiler/…l:197 simplify_ir! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Compiler/…l:2734 cfg_simplify… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Compiler/…l:1574 process_node… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Compiler/…l:1378 renumber_ssa… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Compiler/…l:605 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Compiler/…l:536 _useref_getin… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 1 @Compiler/…l:0 _useref_getinde… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Compiler/…l:935 retrieve_ir_f… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Compiler/…l:922 retrieve_ir_f… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Compiler/…l:449 copy(ir::Comp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Compiler/…l:284 copy(is::Comp… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Base/…ay.jl:386 copy ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:2201 adce_pass!(ir::Compil… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1913 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1991 iterate_compact(com… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1574 process_node!(comp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1378 renumber_ssa2!(st… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:605 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:538 _useref_getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:582 _useref_getinde… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1022 optimize(interp::Compile… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:998 ipo_dataflow_analysis!(i… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:287 scan!(callback::Compile… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:889 (::Compiler.ScanStmt)(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:849 scan_inconsistency!(i… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:714 iscall_with_boundsch… 1╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:254 (::Compiler.var"#handle1#abst… ╎ ╎ ╎ 1 @Compiler/…tion.jl:4543 typeinf_local(interp::Compiler.Nati… ╎ ╎ ╎ 1 @Compiler/…tion.jl:3708 merge_override_effects! ╎ ╎ ╎ 1 @Compiler/…tate.jl:1099 decode_statement_effects_override 1╎ ╎ ╎ 1 @Base/…entials.jl:1040 getindex ╎ ╎ 1 @Compiler/…ation.jl:4860 typeinf(interp::Compiler.NativeInte… 1╎ ╎ ╎ 1 @Compiler/…ities.jl:363 _time_ns [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3162 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3025 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:562 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:326 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:352 [14] _start() @ Base ./client.jl:593 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval terminated after 2728.53s: test duration exceeded the time limit