Package evaluation to test SDDP on Julia 1.14.0-DEV.73 (4c8bca6988*) started at 2025-11-13T19:23:33.552 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.88s ################################################################################ # 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 v1.6.3 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.19.3 [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 v1.3.0 [cd3eb016] + HTTP v1.10.19 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.2.1 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.29.3 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.46.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.7 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.6.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.1 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [ec057cc2] + StructUtils v2.6.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.10+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 5.89s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 85994.6 ms ✓ MathOptInterface 70383.2 ms ✓ JuMP 27588.5 ms ✓ SDDP 3 dependencies successfully precompiled in 187 seconds. 69 already precompiled. Precompilation completed after 200.81s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_4pPU6N/Project.toml` [87dc4568] HiGHS v1.20.1 [b6b21f68] Ipopt v1.13.0 [682c06a0] JSON v1.2.1 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.1 [f4570300] SDDP v1.13.1 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_4pPU6N/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.3 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 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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: 0.4 plus 10.97 for vertex selection. Node: 2 - elapsed time: 0.32 plus 0.29 for vertex selection. Node: 1 - elapsed time: 0.31 plus 0.29 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 12.587046725000002 ┌ 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 0.33 for vertex selection. Node: 18 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 17 - elapsed time: 0.49 plus 0.33 for vertex selection. Node: 16 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 15 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 14 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 13 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 12 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 11 - elapsed time: 0.47 plus 0.33 for vertex selection. Node: 10 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 9 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 8 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 7 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 6 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 5 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 4 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 3 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 2 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 1 - elapsed time: 0.48 plus 0.33 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/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 6.022689e-01 4 1 3 0.000000e+00 0.000000e+00 1.158003e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.158003e+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 6.500969e-01 9 1 20 7.500000e+04 1.075000e+05 1.264523e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.264523e+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 1.716073e+00 12 1 10 2.500000e+00 3.361111e+01 1.745373e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.745373e+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 6.966310e-01 12 1 10 2.500000e+00 3.361111e+01 7.223520e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.223520e-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 1.035404e-02 46 1 50 0.000000e+00 1.191663e+02 5.311720e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.311720e-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 1.093793e-02 46 1 50 0.000000e+00 1.191663e+02 5.382190e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.382190e-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 3.487277e+00 103 1 3S -5.785826e+01 -6.755367e+01 5.259446e+00 309 1 4S -6.230988e+01 -6.688020e+01 6.350747e+00 412 1 5S -7.577792e+01 -6.680771e+01 7.539595e+00 515 1 6S -6.064080e+01 -6.678327e+01 8.717927e+00 618 1 7S -6.493167e+01 -6.677772e+01 9.757031e+00 721 1 15S -4.168889e+01 -6.677644e+01 1.565261e+01 1545 1 25S -4.168889e+01 -6.677644e+01 2.171037e+01 2575 1 35S -3.268889e+01 -6.677644e+01 2.787057e+01 3605 1 45S -4.168889e+01 -6.677644e+01 3.384220e+01 4635 1 55S -4.868889e+01 -6.677644e+01 3.998047e+01 5665 1 65S -4.168889e+01 -6.677644e+01 4.611279e+01 6695 1 75S -8.368889e+01 -6.677644e+01 5.214516e+01 7725 1 85S -6.068889e+01 -6.677644e+01 5.827439e+01 8755 1 95S -6.468889e+01 -6.677644e+01 6.441603e+01 9785 1 100 -8.368889e+01 -6.677644e+01 6.678201e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.678201e+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 2.068996e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.068996e-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 3.088810e+02 2 3 20 7.000000e+00 6.000000e+00 3.141497e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.141497e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 8.753845e-01 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/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 7.391260e-01 48 1 20 9.000000e+00 6.000000e+00 1.074268e+00 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.074268e+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 1.517711e-01 4 1 50 0.000000e+00 0.000000e+00 5.919161e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 5.919161e-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:753 [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:1961 [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:753 [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:1961 [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 6.252646e+00 5 1 20 0.000000e+00 -1.000000e+01 6.859590e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.859590e+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 6.338470e-01 52 1 10 -2.396000e+01 -2.396000e+01 6.434870e-01 92 1 15 -4.260000e+01 -2.396000e+01 6.543119e-01 132 1 20 -2.396000e+01 -2.396000e+01 6.668019e-01 172 1 25 -5.320000e+00 -2.396000e+01 6.815529e-01 224 1 30 -5.320000e+00 -2.396000e+01 6.960521e-01 264 1 35 -2.396000e+01 -2.396000e+01 7.118530e-01 304 1 40 -2.396000e+01 -2.396000e+01 7.276061e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.276061e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 1.08s / 65.8% 13.8MiB / 54.4% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 409ms 57.4% 10.2ms 1.84MiB 24.6% 47.2KiB solve_subproblem 120 406ms 57.0% 3.39ms 1.67MiB 22.3% 14.3KiB get_dual_solution 120 47.8μs 0.0% 399ns 13.1KiB 0.2% 112B sample_scenario 40 569μs 0.1% 14.2μs 22.3KiB 0.3% 572B backward_pass 40 292ms 41.0% 7.31ms 5.47MiB 73.0% 140KiB solve_subproblem 160 254ms 35.7% 1.59ms 721KiB 9.4% 4.51KiB get_dual_solution 160 225ms 31.6% 1.41ms 185KiB 2.4% 1.16KiB prepare_backward_pass 160 161μs 0.0% 1.00μs 15.0KiB 0.2% 96.0B calculate_bound 40 11.7ms 1.6% 292μs 182KiB 2.4% 4.54KiB get_dual_solution 40 17.6μs 0.0% 441ns 4.38KiB 0.1% 112B get_dual_solution 36 11.6μs 0.0% 322ns 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 8.297870e-01 52 1 10 -2.396000e+01 -2.396000e+01 8.413510e-01 92 1 15 -2.396000e+01 -2.396000e+01 8.543699e-01 132 1 20 -4.260000e+01 -2.396000e+01 8.694611e-01 172 1 25 -5.320000e+00 -2.396000e+01 8.896360e-01 224 1 30 -2.396000e+01 -2.396000e+01 9.120569e-01 264 1 35 -2.396000e+01 -2.396000e+01 9.371400e-01 304 1 40 -5.320000e+00 -2.396000e+01 9.649720e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.649720e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 972ms / 97.5% 14.2MiB / 94.6% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 812ms 85.6% 20.3ms 1.84MiB 13.7% 47.2KiB solve_subproblem 120 809ms 85.3% 6.74ms 1.67MiB 12.5% 14.3KiB get_dual_solution 120 45.4μs 0.0% 378ns 13.1KiB 0.1% 112B sample_scenario 40 610μs 0.1% 15.2μs 22.5KiB 0.2% 575B backward_pass 40 123ms 13.0% 3.07ms 11.4MiB 84.9% 291KiB solve_subproblem 160 47.2ms 5.0% 295μs 722KiB 5.3% 4.51KiB get_dual_solution 160 1.38ms 0.1% 8.64μs 185KiB 1.3% 1.16KiB prepare_backward_pass 160 174μs 0.0% 1.09μs 15.0KiB 0.1% 96.0B calculate_bound 40 13.3ms 1.4% 334μs 183KiB 1.3% 4.58KiB get_dual_solution 40 19.4μs 0.0% 484ns 4.38KiB 0.0% 112B get_dual_solution 36 11.7μs 0.0% 325ns 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 4.924400e-01 5 1 2 -2.500000e+00 -2.000000e+00 6.869750e-01 14 1 3 -1.000000e+00 -2.000000e+00 7.006440e-01 19 1 4 -1.000000e+00 -2.000000e+00 7.027471e-01 24 1 5 -1.000000e+00 -2.000000e+00 7.040160e-01 29 1 6 -3.000000e+00 -2.000000e+00 7.047999e-01 34 1 7 -1.000000e+00 -2.000000e+00 7.064481e-01 39 1 8 -1.000000e+00 -2.000000e+00 7.076540e-01 44 1 9 -3.000000e+00 -2.000000e+00 7.091851e-01 49 1 10 -1.000000e+00 -2.000000e+00 7.104139e-01 54 1 11 -3.000000e+00 -2.000000e+00 7.114110e-01 59 1 12 -3.000000e+00 -2.000000e+00 7.135479e-01 64 1 13 -1.000000e+00 -2.000000e+00 7.160139e-01 69 1 14 -1.000000e+00 -2.000000e+00 7.171631e-01 74 1 15 -3.000000e+00 -2.000000e+00 7.189710e-01 79 1 16 -1.000000e+00 -2.000000e+00 7.208841e-01 84 1 17 -3.000000e+00 -2.000000e+00 7.220190e-01 89 1 18 -3.000000e+00 -2.000000e+00 7.231591e-01 94 1 19 -1.000000e+00 -2.000000e+00 7.252541e-01 99 1 20 -3.000000e+00 -2.000000e+00 7.272899e-01 104 1 21 -1.000000e+00 -2.000000e+00 7.304871e-01 113 1 22 -1.000000e+00 -2.000000e+00 7.327080e-01 118 1 23 -3.000000e+00 -2.000000e+00 7.342529e-01 123 1 24 -3.000000e+00 -2.000000e+00 7.354660e-01 128 1 25 -1.000000e+00 -2.000000e+00 7.369649e-01 133 1 26 -3.000000e+00 -2.000000e+00 7.392840e-01 138 1 27 -3.000000e+00 -2.000000e+00 7.416589e-01 143 1 28 -1.000000e+00 -2.000000e+00 7.439940e-01 148 1 29 -3.000000e+00 -2.000000e+00 7.463491e-01 153 1 30 -3.000000e+00 -2.000000e+00 7.487309e-01 158 1 31 -1.000000e+00 -2.000000e+00 7.506511e-01 163 1 32 -1.000000e+00 -2.000000e+00 7.527971e-01 168 1 33 -1.000000e+00 -2.000000e+00 7.552340e-01 173 1 34 -3.000000e+00 -2.000000e+00 7.568600e-01 178 1 35 -1.000000e+00 -2.000000e+00 7.584050e-01 183 1 36 -3.000000e+00 -2.000000e+00 7.602229e-01 188 1 37 -1.000000e+00 -2.000000e+00 7.629001e-01 193 1 38 -1.000000e+00 -2.000000e+00 7.654209e-01 198 1 39 -1.000000e+00 -2.000000e+00 7.680221e-01 203 1 40 -1.000000e+00 -2.000000e+00 7.707870e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.707870e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 1.100155e+00 51 1 16 3.784090e+02 2.186102e+02 2.453805e+00 3156 1 30 2.138334e+03 2.336430e+02 4.332280e+00 7674 1 38 8.025312e+02 2.352957e+02 5.732973e+00 10194 1 46 1.737622e+02 2.358930e+02 6.850536e+00 12054 1 56 1.051492e+02 2.360772e+02 7.875664e+00 13608 1 63 1.493193e+03 2.362190e+02 9.535187e+00 15909 1 94 4.105000e+02 2.363976e+02 1.485807e+01 21990 1 100 4.969839e+02 2.364135e+02 1.687953e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.687953e+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 2.190802e+00 1400 1 20 -4.764789e+00 -4.394789e+00 2.525088e+00 2800 1 30 -4.672487e+00 -4.377000e+00 2.873727e+00 4200 1 40 -4.483495e+00 -4.370632e+00 3.233634e+00 5600 1 50 -4.167321e+00 -4.364999e+00 3.866999e+00 7000 1 60 -4.362455e+00 -4.358864e+00 4.216067e+00 8400 1 70 -4.849916e+00 -4.355337e+00 4.557951e+00 9800 1 80 -4.861568e+00 -4.353006e+00 4.917883e+00 11200 1 90 -4.268264e+00 -4.350407e+00 5.300661e+00 12600 1 100 -4.539897e+00 -4.348641e+00 5.695601e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.695601e+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 2.200960e+00 1050 1 20 -1.529197e+00 -1.471817e+00 2.295933e+00 1600 1 30 -1.410768e+00 -1.471408e+00 2.510733e+00 2650 1 40 -1.596461e+00 -1.471258e+00 2.627105e+00 3200 1 50 -1.002277e+00 -1.471216e+00 2.855636e+00 4250 1 60 -1.085156e+00 -1.471164e+00 2.972451e+00 4800 1 70 -1.391746e+00 -1.471164e+00 3.214136e+00 5850 1 80 -1.448703e+00 -1.471132e+00 3.339114e+00 6400 1 90 -1.488989e+00 -1.471087e+00 3.579672e+00 7450 1 100 -1.564260e+00 -1.471075e+00 3.712782e+00 8000 1 110 -1.738157e+00 -1.471075e+00 3.838602e+00 8550 1 120 -1.591292e+00 -1.471075e+00 3.969761e+00 9100 1 130 -1.271481e+00 -1.471075e+00 4.094543e+00 9650 1 140 -1.249746e+00 -1.471075e+00 4.229039e+00 10200 1 150 -1.536222e+00 -1.471075e+00 4.373010e+00 10750 1 160 -1.565422e+00 -1.471075e+00 4.522810e+00 11300 1 170 -1.631076e+00 -1.471075e+00 4.667601e+00 11850 1 180 -1.494909e+00 -1.471075e+00 4.810329e+00 12400 1 182 -9.083563e-01 -1.471075e+00 4.836187e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.836187e+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 5.629351e-01 54 1 20 3.336455e+05 3.402383e+05 5.789921e-01 104 1 30 3.993519e+05 3.403155e+05 5.928252e-01 158 1 40 3.337559e+05 3.403155e+05 6.062250e-01 208 1 48 3.337559e+05 3.403155e+05 6.200271e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.200271e-01 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 8.463831e-01 92 1 20 4.506600e+05 4.054833e+05 8.714581e-01 172 1 30 3.959476e+05 4.067125e+05 8.942182e-01 264 1 40 4.497721e+05 4.067125e+05 9.218230e-01 344 1 47 3.959476e+05 4.067125e+05 9.432170e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.432170e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 8.604338e+00 14 1 40 2.308500e+03 4.074139e+03 9.581801e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.581801e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.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 3.198748e+00 8 1 5L 4.000000e+04 6.250000e+04 4.336209e+00 52 1 11L 4.000000e+04 6.250000e+04 5.396715e+00 100 1 17L 4.000000e+04 6.250000e+04 6.499239e+00 148 1 20L 6.000000e+04 6.250000e+04 7.174805e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.174805e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.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 8.193269e-01 8 1 14 6.000000e+04 6.250000e+04 1.823991e+00 124 1 20 4.000000e+04 6.250000e+04 2.285568e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.285568e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.539731e+00 5 1 10 4.000000e+04 6.250000e+04 2.202093e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.202093e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 1.026993e+00 6 1 20L 9.000000e+00 9.000000e+00 1.181547e+00 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.181547e+00 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 2.948312e+00 87 1 10 -1.109375e+01 2.605769e-01 2.961831e+00 142 1 15 3.105797e+00 5.434132e-01 2.977813e+00 197 1 20 -2.463349e+01 1.503415e+00 2.992427e+00 252 1 25 -1.421085e-14 1.514085e+00 3.008283e+00 307 1 30 4.864000e+01 1.514085e+00 5.539411e+00 394 1 35 4.864000e+01 1.514085e+00 5.556045e+00 449 1 40 -8.870299e+00 1.514085e+00 5.574694e+00 504 1 45 -1.428571e+00 1.514085e+00 5.593263e+00 559 1 48 -1.428571e+00 1.514085e+00 5.606585e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.606585e+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 2.804359e+00 278 1 20 1.440356e+01 1.278425e+00 2.844369e+00 428 1 30 8.388546e+00 1.278425e+00 2.916899e+00 706 1 40 6.666667e-03 1.278410e+00 2.961125e+00 856 1 50 -5.614035e+00 1.278410e+00 3.034935e+00 1134 1 60 1.426676e+01 1.278410e+00 3.088863e+00 1284 1 64 1.261296e+01 1.278410e+00 3.112704e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.112704e+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 1.835218e+00 278 1 20 1.111084e+01 1.278410e+00 1.897132e+00 428 1 30 2.293779e+01 1.278410e+00 1.997345e+00 706 1 40 1.426676e+01 1.278410e+00 2.094914e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.094914e+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 6.285365e+00 900 1 20 6.374753e+00 1.361934e+01 6.694553e+00 1720 1 30 2.848217e+01 1.624016e+01 7.744912e+00 3036 1 40 1.973944e+01 1.776547e+01 8.821662e+00 4192 1 50 4.000000e+00 1.889360e+01 9.765736e+00 5020 1 60 1.142478e+01 1.907862e+01 1.074527e+01 5808 1 70 9.386421e+00 1.961295e+01 1.180495e+01 6540 1 80 5.667851e+01 1.890911e+01 1.258459e+01 7088 1 90 3.740597e+01 1.993139e+01 1.432803e+01 8180 1 100 9.867183e+00 2.001688e+01 1.511124e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.511124e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.911549e+00 36 1 10 0.000000e+00 0.000000e+00 3.969743e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.969743e+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 8.294106e-03 407 1 10 2.850000e+02 5.728212e+02 8.034205e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.034205e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 7.905006e-03 778 1 10 2.825000e+02 3.465177e+02 7.750297e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.750297e-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 9.260893e-03 1149 1 10 2.587500e+02 2.052799e+02 8.174896e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.174896e-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 9.370089e-03 1520 1 10 2.875000e+02 4.661908e+02 9.035897e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.035897e-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 8.857012e-03 1891 1 10 1.000000e+02 1.129771e+02 8.013511e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.013511e-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 9.481192e-03 2262 1 10 1.625000e+02 2.794553e+02 9.155416e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.155416e-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 9.989977e-03 2633 1 10 5.487500e+02 4.077574e+02 9.410501e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.410501e-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 9.277105e-03 3004 1 10 6.771875e+02 5.210100e+02 8.843994e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.843994e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 9.094000e-03 3375 1 10 5.312500e+01 5.938345e+01 8.136988e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.136988e-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 2.566512e+00 235 1 10 1.000000e+01 9.159200e+00 3.048993e+00 310 1 15 1.000000e+01 9.159200e+00 3.581597e+00 385 1 20 1.000000e+01 9.159200e+00 4.106485e+00 460 1 25 1.000000e+01 9.159200e+00 7.007476e+00 695 1 30 4.000000e+00 9.159200e+00 7.509494e+00 770 1 35 1.000000e+01 9.159200e+00 8.025020e+00 845 1 40 1.000000e+01 9.159200e+00 8.581605e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.581605e+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 2.297994e+00 510 1 20 1.000000e+01 6.834387e+00 3.975154e+00 720 1 30 7.000000e+00 6.834387e+00 8.000889e+00 1230 1 40 1.000000e+01 6.823805e+00 9.656925e+00 1440 1 50 3.000000e+00 6.823805e+00 1.382707e+01 1950 1 60 2.000000e+00 6.823805e+00 1.555860e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.555860e+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 1.203728e+01 920 1 20 6.049875e+06 2.075240e+06 1.466132e+01 1340 1 30 5.496647e+05 2.078257e+06 2.477744e+01 2260 1 40 3.985383e+04 2.078257e+06 2.728562e+01 2680 1 50 2.994548e+05 2.078257e+06 3.814064e+01 3600 1 60 3.799457e+06 2.078257e+06 4.080586e+01 4020 1 61 3.549665e+06 2.078257e+06 4.105978e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.105978e+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 3.063321e+01 920 1 20L 2.799668e+06 2.079457e+06 5.044507e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.943707e+01 2260 1 40L 4.299882e+06 2.079457e+06 9.981013e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.981013e+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 2.772158e+00 1914 1 200 0.000000e+00 1.191645e+02 3.218314e+00 3840 1 300 7.500000e+01 1.191666e+02 3.673232e+00 5738 1 328 2.500000e+00 1.191667e+02 3.773124e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.773124e+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 9.024289e-01 2806 1 200 0.000000e+00 1.191666e+02 1.474834e+00 4749 1 287 5.000000e+00 1.191667e+02 1.923388e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.923388e+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 4.058611e-01 1033 1 20 8.000000e+00 2.000000e+01 4.356480e-01 1209 1 30 1.200000e+01 2.000000e+01 5.667460e-01 2304 1 40 3.000000e+01 2.000000e+01 6.820810e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.820810e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 25 running 1 of 1 signal (10): User defined signal 1 _ZNK4llvm14MCRegisterInfo18getCachedAliasesOfENS_10MCRegisterE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) unknown function (ip: 0x431d69d7) at (unknown file) unknown function (ip: (nil)) at (unknown file) #= 319.5 ms =# precompile(Tuple{typeof(SDDP.print_problem_statistics), Base.PipeEndpoint, SDDP.PolicyGraph{Int64}, Bool, SDDP.Serial, SDDP.ConvexCombination{Tuple{Tuple{Float64, SDDP.Expectation}, Tuple{Float64, SDDP.AVaR}}}, SDDP.InSampleMonteCarlo}) problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : #= 425.8 ms =# precompile(Tuple{typeof(Base.print), Base.PipeEndpoint, SDDP.ConvexCombination{Tuple{Tuple{Float64, SDDP.Expectation}, Tuple{Float64, SDDP.AVaR}}}}) A convex combination of 0.5 * SDDP.Expectation() + 0.5 * #= 131.6 ms =# precompile(Tuple{typeof(Base.print), Base.PipeEndpoint, SDDP.AVaR}) SDDP.AVaR( ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== 0.2) sampling scheme : ┌ 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 SDDPOverhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000076ea27ffc010 Total snapshots: 55. Utilization: 100% ╎48 @Base/client.jl:577 _start() ╎ 48 @Base/client.jl:310 exec_options(opts::Base.JLOptions) ╎ 48 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ 48 @Base/Base.jl:311 (::Base.IncludeInto)(fname::String) ╎ 48 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _path::Str… ╎ 48 @Base/loading.jl:3054 _include(mapexpr::Function, mod::Module, _pat… ╎ ╎ 48 @Base/loading.jl:2994 include_string(mapexpr::typeof(identity), mo… ╎ ╎ 48 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 48 …yB/test/runtests.jl:10 util_test_directory(dir::String) ╎ ╎ 48 …yB/test/runtests.jl:14 util_test_directory(dir::String, exclud… ╎ ╎ 48 @Test/src/Test.jl:1961 macro expansion ╎ ╎ ╎ 48 …B/test/runtests.jl:16 macro expansion ╎ ╎ ╎ 48 @Base/Base.jl:311 IncludeInto ╎ ╎ ╎ 48 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _… ╎ ╎ ╎ 48 @Base/loading.jl:3054 _include(mapexpr::Function, mod::Mod… ╎ ╎ ╎ 48 @Base/loading.jl:2994 include_string(mapexpr::typeof(iden… ╎ ╎ ╎ ╎ 48 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 48 …nner_hydro_1d.jl:52 test_inner_hydro_1d() ╎ ╎ ╎ ╎ 48 @SDDP/…orithm.jl:1116 train ╎ ╎ ╎ ╎ 48 @SDDP/…orithm.jl:1211 train(model::SDDP.PolicyGraph{I… 4╎ ╎ ╎ ╎ 48 @SDDP/…c/print.jl:9 print_helper(::typeof(SDDP.print… ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…/print.jl:119 print_problem_statistics(io::B… ╎ ╎ ╎ ╎ ╎ 1 @Base/…ngs/io.jl:75 println ╎ ╎ ╎ ╎ ╎ 1 @Base/…gs/io.jl:46 print(::Base.PipeEndpoint, ::S… ╎ ╎ ╎ ╎ ╎ 1 @Base/…s/io.jl:239 print(io::Base.PipeEndpoint, … ╎ ╎ ╎ ╎ ╎ 1 @Base/…s/io.jl:237 write ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…eam.jl:1150 unsafe_write(s::Base.PipeEn… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…eam.jl:1065 uv_write(s::Base.PipeEndpo… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…am.jl:1110 uv_write_async(s::Base.Pip… ╎ ╎ ╎ ╎ ╎ 42 @SDDP/…/print.jl:120 print_problem_statistics(io::B… ╎ ╎ ╎ ╎ ╎ 42 @Base/…ngs/io.jl:75 println 20╎ ╎ ╎ ╎ ╎ 42 @Base/…gs/io.jl:46 print(::Base.PipeEndpoint, ::S… ╎ ╎ ╎ ╎ ╎ 3 @Compiler/….jl:1713 typeinf_ext_toplevel(mi::Cor… ╎ ╎ ╎ ╎ ╎ 3 @Compiler/….jl:1705 typeinf_ext_toplevel ╎ ╎ ╎ ╎ ╎ ╎ 3 @Compiler/…jl:1673 add_codeinsts_to_jit!(inter… ╎ ╎ ╎ ╎ ╎ ╎ 3 @Compiler/…jl:1527 typeinf_ext(interp::Compil… ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:4495 typeinf(interp::Compiler.N… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:4338 typeinf_local(interp::Com… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:3789 abstract_eval_basic_stat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:3832 abstract_eval_basic_sta… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:3433 abstract_eval_statemen… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:3075 abstract_eval_call ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:3057 abstract_call(interp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:2897 abstract_call ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:2904 abstract_call(inte… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:2795 abstract_call_kno… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:55 argtypes_to_type(a… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:4378 typeinf_local(interp::Com… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:799 record_ssa_assign!(𝕃ᵢ::Co… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:4502 typeinf(interp::Compiler.N… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:278 finish_nocycle(interp::Com… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1021 optimize(interp::Compile… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1048 run_passes_ipo_safe ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1035 run_passes_ipo_safe(ci… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:79 ssa_inlining_pass! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:630 batch_inline!(ir::Com… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:161 cfg_inline_item!(ir:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1411 append! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1205 _growend! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1181 _growend_interna… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1101 array_new_memory 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ 19 @Base/…s/io.jl:35 print(io::Base.PipeEndpoint, x… ╎ ╎ ╎ ╎ ╎ 19 @SDDP/…ures.jl:346 show(io::Base.PipeEndpoint, … 6╎ ╎ ╎ ╎ ╎ ╎ 19 @Base/…s/io.jl:46 print(::Base.PipeEndpoint, :… ╎ ╎ ╎ ╎ ╎ ╎ 13 @Base/…s/io.jl:35 print(io::Base.PipeEndpoint… ╎ ╎ ╎ ╎ ╎ ╎ 13 @Base/show.jl:492 show ╎ ╎ ╎ ╎ ╎ ╎ 13 @Base/…ow.jl:497 show_default 11╎ ╎ ╎ ╎ ╎ ╎ 13 @Base/…ow.jl:514 _show_default(io::Base.Pi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1713 typeinf_ext_toplevel(mi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1704 typeinf_ext_toplevel ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:1527 typeinf_ext(interp::C… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Compiler/…l:4502 typeinf(interp::Comp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:278 finish_nocycle(inter… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1021 optimize(interp::C… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1048 run_passes_ipo_sa… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1070 run_passes_ipo_s… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:321 verify_ir(ir::Co… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:241 isassigned 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…er.jl:57 getproperty ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:285 finish_nocycle(inter… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:145 finish!(interp::Com… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:480 transform_result_f… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:408 compute_inlining_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:457 inline_cost_mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…l:1481 inline_cost_mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Compiler/…l:1459 statement_or_b… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Compiler/…l:1383 statement_cost… .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 ------------------------------------------------------------------- ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 1 1.948878e+03 2.847167e+03 1.249288e+00 35 1 10 7.500000e+02 2.935390e+03 1.404879e+00 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.404879e+00 total solves : 350 best bound : 2.935390e+03 simulation ci : 1.544902e+03 ± 5.533339e+02 numeric issues : 0 ------------------------------------------------------------------- wait at ./task.jl:1246 jfptr_wait_1599.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 tojlinvoke94180.1 at /opt/julia/lib/julia/sys.so (unknown line) j_wait_53123.1 at /opt/julia/lib/julia/sys.so (unknown line) wait_forever at ./task.jl:1168 jfptr_wait_forever_53122.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] start_task at /source/src/task.c:1272 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== Building and solving inner model for upper bounds: ┌ 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 0x00007fdeb556c790 Total snapshots: 1. Utilization: 0% ╎1 @Base/task.jl:1168 wait_forever() ╎ 1 @Base/task.jl:1246 wait() Node: 3 - elapsed time: 0.44 plus 0.76 for vertex selection. Node: 2 - elapsed time: 0.3 plus 0.28 for vertex selection. Node: 1 - elapsed time: 0.31 plus 0.28 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 2.3731215079999997 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 1.293061e-01 3 1 40 2.000000e+00 2.000000e+00 3.918459e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.918459e-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 [25] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/ScjyB/docs/src/examples/objective_state_newsvendor.jl:80 _ZN4llvm5APIntC2Ejmbb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11ConstantInt3getEPNS_11IntegerTypeEmb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15ScalarEvolution11getConstantEPNS_4TypeEmb.constprop.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15ScalarEvolution10getGEPExprEPNS_11GEPOperatorERKNS_15SmallVectorImplIPKNS_4SCEVEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15ScalarEvolution16createNodeForGEPEPNS_11GEPOperatorE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15ScalarEvolution14createSCEVIterEPNS_5ValueE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_114SimplifyIndvar30replaceIVUserWithLoopInvariantEPN4llvm11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_114SimplifyIndvar13simplifyUsersEPN4llvm7PHINodeEPNS1_9IVVisitorE.constprop.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm17simplifyUsersOfIVEPNS_7PHINodeEPNS_15ScalarEvolutionEPNS_13DominatorTreeEPNS_8LoopInfoEPKNS_19TargetTransformInfoERNS_15SmallVectorImplINS_14WeakTrackingVHEEERNS_12SCEVExpanderEPNS_9IVVisitorE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm18IndVarSimplifyPass3runERNS_4LoopERNS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEES5_RNS_10LPMUpdaterE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE13runSinglePassIS1_St10unique_ptrINS_6detail11PassConceptIS1_S5_JS4_S7_EEESt14default_deleteISD_EEEESt8optionalINS_17PreservedAnalysesEERT_RT0_RS5_S4_S7_RNS_19PassInstrumentationE.isra.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE24runWithoutLoopNestPassesERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE3runERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm25FunctionToLoopPassAdaptor3runERNS_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:787 operator() at /source/src/jitlayers.cpp:1508 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1469 [inlined] operator() at /source/src/jitlayers.cpp:1644 [inlined] addModule at /source/src/jitlayers.cpp:2101 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:876 jl_compile_method_internal at /source/src/gf.c:3648 _jl_invoke at /source/src/gf.c:4108 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2994 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3054 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:10 unknown function (ip: 0x76ea0f31c672) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 jfptr_eval_9560.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 tojlinvoke96199.1 at /opt/julia/lib/julia/sys.so (unknown line) j_eval_35114.1 at /opt/julia/lib/julia/sys.so (unknown line) include_string at ./loading.jl:2994 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3054 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 tojlinvoke97426.1 at /opt/julia/lib/julia/sys.so (unknown line) include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_72480.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 jfptr_eval_9560.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 tojlinvoke96209.1 at /opt/julia/lib/julia/sys.so (unknown line) j_eval_35045.1 at /opt/julia/lib/julia/sys.so (unknown line) exec_options at ./client.jl:310 jfptr_exec_options_35026.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 tojlinvoke92148.1 at /opt/julia/lib/julia/sys.so (unknown line) j_exec_options_73833.1 at /opt/julia/lib/julia/sys.so (unknown line) _start at ./client.jl:577 jfptr__start_73830.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x76ea42473249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 735936630 (Pool: 735933133; Big: 3497); GC: 110 PkgEval terminated after 2721.87s: test duration exceeded the time limit