Package evaluation of SDDP on Julia 1.13.0-DEV.873 (be59b3b2f4*) started at 2025-07-17T23:59:41.624 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.9s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed DiffResults ────────── v1.1.0 Installed CodecZlib ──────────── v0.7.8 Installed Bzip2_jll ──────────── v1.0.9+0 Installed ConcurrentUtilities ── v2.5.0 Installed URIs ───────────────── v1.6.1 Installed MacroTools ─────────── v0.5.16 Installed ForwardDiff ────────── v1.0.1 Installed ExprTools ──────────── v0.1.10 Installed DataStructures ─────── v0.18.22 Installed ExceptionUnwrapping ── v0.1.11 Installed OrderedCollections ─── v1.8.1 Installed RecipesBase ────────── v1.3.4 Installed Compat ─────────────── v4.17.0 Installed TranscodingStreams ─── v0.11.3 Installed Statistics ─────────── v1.11.1 Installed CommonSubexpressions ─ v0.3.1 Installed OpenSSL ────────────── v1.5.0 Installed LoggingExtras ──────── v1.1.0 Installed MbedTLS ────────────── v1.1.9 Installed TimerOutputs ───────── v0.5.29 Installed PrecompileTools ────── v1.3.2 Installed StaticArraysCore ───── v1.4.3 Installed IrrationalConstants ── v0.2.4 Installed NaNMath ────────────── v1.1.3 Installed OpenSpecFun_jll ────── v0.5.6+0 Installed JSON3 ──────────────── v1.14.3 Installed HTTP ───────────────── v1.10.17 Installed CodecBzip2 ─────────── v0.8.5 Installed BitFlags ───────────── v0.1.9 Installed LogExpFunctions ────── v0.3.29 Installed DiffRules ──────────── v1.15.1 Installed JuMP ───────────────── v1.26.0 Installed Reexport ───────────── v1.2.2 Installed Parsers ────────────── v2.8.3 Installed JSON ───────────────── v0.21.4 Installed Preferences ────────── v1.4.3 Installed SpecialFunctions ───── v2.5.1 Installed JLLWrappers ────────── v1.7.0 Installed SimpleBufferStream ─── v1.2.0 Installed MbedTLS_jll ────────── v2.28.6+2 Installed MutableArithmetics ─── v1.6.4 Installed DocStringExtensions ── v0.9.5 Installed BenchmarkTools ─────── v1.6.0 Installed StructTypes ────────── v1.11.0 Installed SDDP ───────────────── v1.12.0 Installed MathOptInterface ───── v1.42.0 Installing 3 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact Bzip2 503.5 KiB Installed artifact MbedTLS 2.1 MiB Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.12.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [cd3eb016] + HTTP v1.10.17 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.26.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.42.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.12.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 8.79s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4968.7 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 26 already precompiled. Precompiling package dependencies... Precompilation completed after 896.86s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_mve4o1/Project.toml` [87dc4568] HiGHS v1.18.2 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.17 [f4570300] SDDP v1.12.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_mve4o1/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.30.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.17.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:391 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 3.560019e-01 4 1 3 0.000000e+00 0.000000e+00 8.773160e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.773160e-01 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 2.290511e-02 9 1 20 7.500000e+04 1.075000e+05 7.167022e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.167022e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.016514e+00 12 1 10 2.500000e+00 3.361111e+01 1.043904e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.043904e+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 8.450031e-03 12 1 10 2.500000e+00 3.361111e+01 2.339196e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.339196e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.761095e-03 46 1 50 0.000000e+00 1.191663e+02 4.456570e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.456570e-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 1.085019e-02 46 1 50 0.000000e+00 1.191663e+02 4.824600e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.824600e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 3.680098e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.328704e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.387764e+00 412 1 6S -6.064080e+01 -6.678327e+01 8.702944e+00 618 1 7S -6.493167e+01 -6.677772e+01 9.773443e+00 721 1 17S -6.068889e+01 -6.677644e+01 1.589618e+01 1751 1 27S -6.068889e+01 -6.677644e+01 2.187654e+01 2781 1 37S -7.668889e+01 -6.677644e+01 2.795175e+01 3811 1 47S -5.768889e+01 -6.677644e+01 3.422931e+01 4841 1 57S -8.368889e+01 -6.677644e+01 4.032758e+01 5871 1 67S -7.668889e+01 -6.677644e+01 4.644392e+01 6901 1 77S -6.468889e+01 -6.677644e+01 5.235528e+01 7931 1 87S -6.068889e+01 -6.677644e+01 5.841343e+01 8961 1 97S -6.068889e+01 -6.677644e+01 6.446829e+01 9991 1 100 -8.368889e+01 -6.677644e+01 6.565702e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.565702e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+00 6.000000e+00 3.152788e+02 2 5 20 3.000000e+00 6.000000e+00 3.183163e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.183163e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.700000e+00 ± 1.111475e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 2.905889e-01 48 1 20 9.000000e+00 6.000000e+00 5.532708e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.532708e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 6.279945e-03 4 1 50 0.000000e+00 0.000000e+00 2.580800e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.580800e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 6.724012e+00 5 1 20 0.000000e+00 -1.000000e+01 7.505612e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.505612e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 2.099895e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.879310e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.808808e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.713011e-02 172 1 25 -5.320000e+00 -2.396000e+01 6.030107e-02 224 1 30 -5.320000e+00 -2.396000e+01 7.245803e-02 264 1 35 -2.396000e+01 -2.396000e+01 8.489108e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.892988e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.892988e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 387ms / 22.0% 12.4MiB / 62.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 50.8ms 59.7% 1.27ms 5.76MiB 74.6% 147KiB solve_subproblem 160 26.3ms 30.9% 164μs 828KiB 10.5% 5.18KiB get_dual_solution 160 1.36ms 1.6% 8.51μs 180KiB 2.3% 1.12KiB prepare_backward_pass 160 56.0μs 0.1% 350ns 0.00B 0.0% 0.00B forward_pass 40 24.4ms 28.6% 609μs 1.75MiB 22.7% 44.8KiB solve_subproblem 120 22.4ms 26.3% 186μs 1.58MiB 20.4% 13.4KiB get_dual_solution 120 90.1μs 0.1% 751ns 13.1KiB 0.2% 112B sample_scenario 40 384μs 0.5% 9.60μs 24.2KiB 0.3% 620B calculate_bound 40 9.89ms 11.6% 247μs 215KiB 2.7% 5.38KiB get_dual_solution 40 42.1μs 0.0% 1.05μs 4.38KiB 0.1% 112B get_dual_solution 36 24.9μs 0.0% 691ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 5.231810e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.010103e-02 92 1 15 -2.396000e+01 -2.396000e+01 7.240915e-02 132 1 20 -4.260000e+01 -2.396000e+01 8.596110e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.026731e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.195230e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.367681e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.553471e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.553471e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 164ms / 87.5% 14.9MiB / 94.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 107ms 74.4% 2.67ms 12.0MiB 85.9% 308KiB solve_subproblem 160 26.6ms 18.5% 166μs 830KiB 5.8% 5.19KiB get_dual_solution 160 1.47ms 1.0% 9.20μs 180KiB 1.3% 1.12KiB prepare_backward_pass 160 71.7μs 0.0% 448ns 0.00B 0.0% 0.00B forward_pass 40 25.0ms 17.4% 625μs 1.75MiB 12.5% 44.8KiB solve_subproblem 120 22.5ms 15.7% 188μs 1.58MiB 11.3% 13.4KiB get_dual_solution 120 98.2μs 0.1% 818ns 13.1KiB 0.1% 112B sample_scenario 40 491μs 0.3% 12.3μs 24.3KiB 0.2% 623B calculate_bound 40 11.7ms 8.1% 292μs 217KiB 1.5% 5.42KiB get_dual_solution 40 44.9μs 0.0% 1.12μs 4.38KiB 0.0% 112B get_dual_solution 36 24.6μs 0.0% 684ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 1.675060e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.692679e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.700521e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.707489e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.714480e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.721160e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.728098e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.735320e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.742420e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.750040e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.758280e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.766369e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.774368e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.782088e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.790130e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.798220e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.806600e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.814768e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.823509e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.831999e-01 104 1 21 -1.000000e+00 -2.000000e+00 1.847770e-01 113 1 22 -1.000000e+00 -2.000000e+00 1.856720e-01 118 1 23 -3.000000e+00 -2.000000e+00 1.865640e-01 123 1 24 -3.000000e+00 -2.000000e+00 1.874850e-01 128 1 25 -1.000000e+00 -2.000000e+00 1.884010e-01 133 1 26 -3.000000e+00 -2.000000e+00 1.893709e-01 138 1 27 -3.000000e+00 -2.000000e+00 1.903288e-01 143 1 28 -1.000000e+00 -2.000000e+00 1.912649e-01 148 1 29 -3.000000e+00 -2.000000e+00 1.922739e-01 153 1 30 -3.000000e+00 -2.000000e+00 1.935380e-01 158 1 31 -1.000000e+00 -2.000000e+00 1.945429e-01 163 1 32 -1.000000e+00 -2.000000e+00 1.956010e-01 168 1 33 -1.000000e+00 -2.000000e+00 1.966519e-01 173 1 34 -3.000000e+00 -2.000000e+00 1.976938e-01 178 1 35 -1.000000e+00 -2.000000e+00 1.987519e-01 183 1 36 -3.000000e+00 -2.000000e+00 1.998348e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.009568e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.021470e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.032690e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.044899e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.044899e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 2.734630e-01 51 1 26 3.830773e+02 2.282913e+02 1.375197e+00 4602 1 30 2.138334e+03 2.336430e+02 2.746270e+00 7674 1 38 8.025312e+02 2.352957e+02 3.784132e+00 10194 1 52 3.990085e+02 2.360402e+02 4.890453e+00 13056 1 63 1.493193e+03 2.362190e+02 6.285232e+00 15909 1 73 3.670177e+02 2.363045e+02 7.383177e+00 17655 1 77 1.654348e+02 2.363524e+02 8.421418e+00 19191 1 87 1.165289e+02 2.363842e+02 9.561306e+00 20673 1 100 4.969839e+02 2.364135e+02 1.277910e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.277910e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 7.565620e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.031264e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.316285e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.603204e+00 5600 1 50 -4.167321e+00 -4.364999e+00 1.908998e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.209385e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.515514e+00 9800 1 80 -4.861568e+00 -4.353006e+00 2.840295e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.165569e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.475378e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.475378e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 4.436829e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.197780e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.013381e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.944970e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.949441e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.090132e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.294252e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.413188e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.635719e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.758516e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.876257e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.996375e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.116992e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.239982e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.365566e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.497186e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.627755e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.756399e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.779575e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.779575e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 2.192402e-02 54 1 20 3.336455e+05 3.402383e+05 3.719187e-02 104 1 30 3.993519e+05 3.403155e+05 5.014586e-02 158 1 40 3.337559e+05 3.403155e+05 5.815601e-02 208 1 48 3.337559e+05 3.403155e+05 7.044196e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.044196e-02 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 3.831697e-02 92 1 20 4.506600e+05 4.054833e+05 6.141400e-02 172 1 30 3.959476e+05 4.067125e+05 8.121896e-02 264 1 40 4.497721e+05 4.067125e+05 1.010211e-01 344 1 47 3.959476e+05 4.067125e+05 1.181741e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.181741e-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 5.859544e+00 14 1 40 2.308500e+03 4.074139e+03 6.689870e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.689870e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 2.087223e+00 8 1 6L 4.000000e+04 6.250000e+04 3.141193e+00 60 1 16L 6.000000e+04 6.250000e+04 4.315183e+00 140 1 20L 6.000000e+04 6.250000e+04 5.028346e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.028346e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.487517e-02 8 1 16 4.000000e+04 6.250000e+04 1.045237e+00 140 1 20 4.000000e+04 6.250000e+04 1.311742e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.311742e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 5.451298e-02 5 1 10 4.000000e+04 6.250000e+04 6.741109e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.741109e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 3.287981e-01 6 1 20L 9.000000e+00 9.000000e+00 4.298859e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.298859e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 9.742088e-01 87 1 10 -1.109375e+01 2.605769e-01 9.842889e-01 142 1 15 3.105797e+00 5.434132e-01 9.958189e-01 197 1 20 -2.463349e+01 1.503415e+00 1.007957e+00 252 1 25 -1.421085e-14 1.514085e+00 1.020837e+00 307 1 30 4.864000e+01 1.514085e+00 3.043151e+00 394 1 35 4.864000e+01 1.514085e+00 3.057528e+00 449 1 40 -8.870299e+00 1.514085e+00 3.073151e+00 504 1 45 -1.428571e+00 1.514085e+00 3.089607e+00 559 1 48 -1.428571e+00 1.514085e+00 3.100429e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.100429e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 8.808210e-01 278 1 20 1.440356e+01 1.278425e+00 9.195230e-01 428 1 30 8.388546e+00 1.278425e+00 9.850569e-01 706 1 40 6.666667e-03 1.278410e+00 1.024181e+00 856 1 50 -5.614035e+00 1.278410e+00 1.092365e+00 1134 1 60 1.426676e+01 1.278410e+00 1.136638e+00 1284 1 64 1.261296e+01 1.278410e+00 1.155751e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.155751e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 8.522391e-02 278 1 20 1.111084e+01 1.278410e+00 1.336260e-01 428 1 30 2.293779e+01 1.278410e+00 2.182648e-01 706 1 40 1.426676e+01 1.278410e+00 2.984529e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.984529e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 4.403948e+00 900 1 20 6.374753e+00 1.361934e+01 4.656824e+00 1720 1 30 2.848217e+01 1.624016e+01 5.293149e+00 3036 1 40 1.973944e+01 1.776547e+01 6.117437e+00 4192 1 50 4.000000e+00 1.889360e+01 6.820178e+00 5020 1 60 1.142478e+01 1.907862e+01 7.677550e+00 5808 1 70 9.386421e+00 1.961295e+01 8.550617e+00 6540 1 80 5.667851e+01 1.890911e+01 9.238618e+00 7088 1 90 3.740597e+01 1.993139e+01 1.068308e+01 8180 1 100 9.867183e+00 2.001688e+01 1.134136e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.134136e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 2.759964e+00 36 1 10 0.000000e+00 0.000000e+00 2.801429e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.801429e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 6.160021e-03 407 1 10 2.850000e+02 5.728212e+02 6.323099e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.323099e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 6.703854e-03 778 1 10 2.825000e+02 3.465177e+02 6.647587e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.647587e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 7.309198e-03 1149 1 10 2.587500e+02 2.052799e+02 6.344199e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.344199e-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 7.417917e-03 1520 1 10 2.875000e+02 4.661908e+02 7.334089e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.334089e-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 7.595062e-03 1891 1 10 1.000000e+02 1.129771e+02 6.626797e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.626797e-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 7.977962e-03 2262 1 10 1.625000e+02 2.794553e+02 7.448792e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.448792e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 8.328915e-03 2633 1 10 5.487500e+02 4.077574e+02 8.110189e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.110189e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 8.321047e-03 3004 1 10 6.771875e+02 5.210100e+02 7.610488e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.610488e-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 6.818056e-03 3375 1 10 5.312500e+01 5.938345e+01 6.280994e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.280994e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.383492e+00 235 1 10 1.000000e+01 9.159200e+00 1.850821e+00 310 1 15 1.000000e+01 9.159200e+00 2.380811e+00 385 1 20 1.000000e+01 9.159200e+00 2.876908e+00 460 1 25 1.000000e+01 9.159200e+00 5.605654e+00 695 1 30 4.000000e+00 9.159200e+00 6.050215e+00 770 1 35 1.000000e+01 9.159200e+00 6.437470e+00 845 1 40 1.000000e+01 9.159200e+00 6.942810e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.942810e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.EqualTo{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 1.057137e+00 510 1 20 1.000000e+01 6.834387e+00 2.493369e+00 720 1 30 7.000000e+00 6.834387e+00 6.203408e+00 1230 1 40 1.000000e+01 6.823805e+00 7.704135e+00 1440 1 50 3.000000e+00 6.823805e+00 1.108416e+01 1950 1 60 2.000000e+00 6.823805e+00 1.244882e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.244882e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.091012e+01 920 1 20 6.049875e+06 2.075240e+06 1.317850e+01 1340 1 30 5.496647e+05 2.078257e+06 2.456497e+01 2260 1 40 3.985383e+04 2.078257e+06 2.738487e+01 2680 1 50 2.994548e+05 2.078257e+06 4.078105e+01 3600 1 60 3.799457e+06 2.078257e+06 4.361469e+01 4020 1 61 3.549665e+06 2.078257e+06 4.388059e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.388059e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.340729e+01 920 1 20L 2.799668e+06 2.079457e+06 5.492333e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.703733e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.084924e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.084924e+02 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.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 2.324084e+00 1914 1 200 0.000000e+00 1.191645e+02 2.754616e+00 3840 1 300 7.500000e+01 1.191666e+02 3.203526e+00 5738 1 328 2.500000e+00 1.191667e+02 3.299463e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.299463e+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.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 5.940030e-01 2806 1 200 0.000000e+00 1.191666e+02 1.118958e+00 4749 1 287 5.000000e+00 1.191667e+02 1.529904e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.529904e+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 2.082489e-01 1033 1 20 8.000000e+00 2.000000e+01 2.352390e-01 1209 1 30 1.200000e+01 2.000000e+01 3.648009e-01 2304 1 40 3.000000e+01 2.000000e+01 4.498749e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.498749e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ 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 5.151033e-03 3 1 40 2.000000e+00 2.000000e+00 9.268785e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.268785e-02 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 8.366580e-01 1350 1 20 5.062500e+00 4.110713e+00 1.037354e+00 2700 1 30 4.500000e+00 4.104200e+00 1.243911e+00 4050 1 40 3.812500e+00 4.102669e+00 1.454143e+00 5400 1 50 4.725000e+00 4.095504e+00 1.677808e+00 6750 1 60 4.050000e+00 4.092999e+00 1.902784e+00 8100 1 70 4.606250e+00 4.091524e+00 2.131485e+00 9450 1 80 3.875000e+00 4.089694e+00 2.364772e+00 10800 1 90 3.750000e+00 4.089490e+00 2.600341e+00 12150 1 100 5.125000e+00 4.087894e+00 2.849401e+00 13500 1 110 4.500000e+00 4.087478e+00 3.093834e+00 14850 1 120 3.650000e+00 4.086704e+00 3.347168e+00 16200 1 130 4.406250e+00 4.086063e+00 3.707613e+00 17550 1 140 3.375000e+00 4.085981e+00 3.962597e+00 18900 1 150 3.000000e+00 4.085945e+00 4.229688e+00 20250 1 160 3.812500e+00 4.085838e+00 4.496745e+00 21600 1 170 4.250000e+00 4.085728e+00 4.770458e+00 22950 1 180 3.243750e+00 4.085593e+00 5.048581e+00 24300 1 190 4.306250e+00 4.085487e+00 5.328676e+00 25650 1 200 5.237500e+00 4.085446e+00 5.627522e+00 27000 1 210 4.500000e+00 4.085441e+00 5.927953e+00 28350 1 220 3.612500e+00 4.085405e+00 6.226210e+00 29700 1 230 3.700000e+00 4.085382e+00 6.526948e+00 31050 1 240 3.437500e+00 4.085254e+00 6.814406e+00 32400 1 250 4.100000e+00 4.085115e+00 7.106469e+00 33750 1 260 3.000000e+00 4.084973e+00 7.409664e+00 35100 1 270 4.918750e+00 4.084943e+00 7.712845e+00 36450 1 280 2.756250e+00 4.084920e+00 8.031169e+00 37800 1 290 3.737500e+00 4.084868e+00 8.356035e+00 39150 1 300 5.750000e+00 4.084868e+00 8.684941e+00 40500 1 310 5.156250e+00 4.084858e+00 9.025647e+00 41850 1 320 3.131250e+00 4.084855e+00 9.340665e+00 43200 1 330 4.125000e+00 4.084846e+00 9.667596e+00 44550 1 340 5.875000e+00 4.084820e+00 9.996513e+00 45900 1 350 4.587500e+00 4.084810e+00 1.033375e+01 47250 1 360 5.087500e+00 4.084805e+00 1.068735e+01 48600 1 370 4.393750e+00 4.084802e+00 1.111830e+01 49950 1 380 4.750000e+00 4.084792e+00 1.144388e+01 51300 1 390 4.437500e+00 4.084785e+00 1.176171e+01 52650 1 400 4.181250e+00 4.084785e+00 1.207998e+01 54000 1 410 3.650000e+00 4.084777e+00 1.242615e+01 55350 1 420 3.750000e+00 4.084769e+00 1.277846e+01 56700 1 430 3.725000e+00 4.084762e+00 1.311177e+01 58050 1 440 4.218750e+00 4.084751e+00 1.345170e+01 59400 1 450 5.500000e+00 4.084751e+00 1.379565e+01 60750 1 460 3.637500e+00 4.084747e+00 1.413259e+01 62100 1 470 2.993750e+00 4.084743e+00 1.447913e+01 63450 1 480 5.237500e+00 4.084743e+00 1.483746e+01 64800 1 490 4.212500e+00 4.084743e+00 1.517956e+01 66150 1 500 3.843750e+00 4.084743e+00 1.552062e+01 67500 1 510 3.425000e+00 4.084743e+00 1.584851e+01 68850 1 520 4.293750e+00 4.084743e+00 1.618058e+01 70200 1 530 2.818750e+00 4.084740e+00 1.656008e+01 71550 1 540 4.668750e+00 4.084740e+00 1.690950e+01 72900 1 550 2.750000e+00 4.084740e+00 1.726684e+01 74250 1 560 4.100000e+00 4.084740e+00 1.764884e+01 75600 1 570 3.200000e+00 4.084738e+00 1.802828e+01 76950 1 580 3.525000e+00 4.084738e+00 1.839765e+01 78300 1 590 3.125000e+00 4.084738e+00 1.875997e+01 79650 1 600 4.875000e+00 4.084736e+00 1.915847e+01 81000 1 610 4.050000e+00 4.084736e+00 1.953394e+01 82350 1 620 4.750000e+00 4.084733e+00 1.997141e+01 83700 1 621 4.062500e+00 4.084733e+00 2.001019e+01 83835 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001019e+01 total solves : 83835 best bound : 4.084733e+00 simulation ci : 4.072091e+00 ± 6.060273e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.437500e+00 4.740991e+00 5.034981e-01 1350 1 20 3.050000e+00 4.729381e+00 1.356177e+00 2700 1 30 4.018750e+00 4.728952e+00 2.539114e+00 4050 1 40 3.500000e+00 4.726800e+00 4.004618e+00 5400 1 50 3.525000e+00 4.052932e+00 5.710455e+00 6750 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1045 running 1 of 1 signal (10): User defined signal 1 _ZN11HVectorBaseIdE5tightEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZNK7HFactor6btranUER11HVectorBaseIdEdP15HighsTimerClock at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZNK7HFactor9btranCallER11HVectorBaseIdEdP15HighsTimerClock at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZNK11HSimplexNla5btranER11HVectorBaseIdEdP15HighsTimerClock at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN4HEkk16factorSolveErrorEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN4HEkk15rebuildRefactorEi at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual7rebuildEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual11solvePhase2Ev at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual5solveEb at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN4HEkk5solveEb at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _Z14solveLpSimplexR19HighsLpSolverObject at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _Z7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs11callSolveLpER7HighsLpNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZZN5Highs13optimizeModelEvENKUlR7HighsLpRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERdE_clES1_S9_SA_.isra.499.lto_priv.3713 at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/MOI_wrapper.jl:2230 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/MOI_wrapper.jl:2230 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/ugDMh/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/ugDMh/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7d3ba91679a2) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #optimize!#95 at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:507 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:481 unknown function (ip: 0x7d3ba79b2fc7) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #calculate_bound#84 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:910 calculate_bound at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:870 [inlined] calculate_bound at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:870 unknown function (ip: 0x7d3ba9189977) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:969 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7d3ba916a561) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #train#91 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] #newsvendor_example#204 at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/objective_state_newsvendor.jl:66 newsvendor_example at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/objective_state_newsvendor.jl:34 unknown function (ip: 0x7d3ba79af412) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 _include at ./loading.jl:2908 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10 unknown function (ip: 0x7d3ba91453c2) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 _include at ./loading.jl:2908 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_51466.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:286 _start at ./client.jl:553 jfptr__start_59882.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7d3bd2db8249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== 60 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_68198.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 4.225000e+00Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007d3bb8c00010 Total snapshots: 89. Utilization: 100% ╎86 @Base/client.jl:553 _start() ╎ 86 @Base/client.jl:286 exec_options(opts::Base.JLOptions) ╎ 86 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ 86 @Base/Base.jl:311 (::Base.IncludeInto)(fname::String) ╎ 86 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _path::Str… ╎ 86 @Base/loading.jl:2908 _include(mapexpr::Function, mod::Module, _pat… ╎ ╎ 86 @Base/loading.jl:2848 include_string(mapexpr::typeof(identity), mo… ╎ ╎ 86 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 86 …2h/test/runtests.jl:10 util_test_directory(dir::String) ╎ ╎ 86 …2h/test/runtests.jl:14 util_test_directory(dir::String, exclud… ╎ ╎ 86 @Test/src/Test.jl:1858 macro expansion ╎ ╎ ╎ 86 …h/test/runtests.jl:16 macro expansion ╎ ╎ ╎ 86 @Base/Base.jl:311 IncludeInto ╎ ╎ ╎ 86 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _… ╎ ╎ ╎ 86 @Base/loading.jl:2908 _include(mapexpr::Function, mod::Mod… ╎ ╎ ╎ 86 @Base/loading.jl:2848 include_string(mapexpr::typeof(iden… ╎ ╎ ╎ ╎ 86 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 86 …te_newsvendor.jl:34 kwcall(::@NamedTuple{cut_type::SDD… ╎ ╎ ╎ ╎ 86 …e_newsvendor.jl:66 newsvendor_example(; cut_type::SDD… ╎ ╎ ╎ ╎ 86 @SDDP/…orithm.jl:1106 train ╎ ╎ ╎ ╎ 86 @SDDP/…orithm.jl:1280 train(model::SDDP.PolicyGraph{… ╎ ╎ ╎ ╎ ╎ 86 @SDDP/…chemes.jl:49 master_loop(::SDDP.Serial, mode… ╎ ╎ ╎ ╎ ╎ 86 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ 86 @SDDP/…hemes.jl:50 (::SDDP.var"#master_loop##0#ma… ╎ ╎ ╎ ╎ ╎ 7 @SDDP/…ithm.jl:955 iteration(model::SDDP.PolicyG… 1╎ ╎ ╎ ╎ ╎ 1 @SDDP/…sses.jl:78 forward_pass(model::SDDP.Poli… ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…sses.jl:99 forward_pass(model::SDDP.Poli… ╎ ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…ithm.jl:11 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…ses.jl:100 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…thm.jl:481 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…hm.jl:507 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 6 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @JuMP/…ce.jl:609 optimize!(model::Model; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @MathOptInterface/…:379 optimize!(m::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @HiGHS/…r.jl:2230 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @HiGHS/…r.jl:2230 #47 5╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @HiGHS/…s.jl:328 Highs_run ╎ ╎ ╎ ╎ ╎ 44 @SDDP/…ithm.jl:959 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 33 @SDDP/…ithm.jl:665 backward_pass(model::SDDP.Po… ╎ ╎ ╎ ╎ ╎ ╎ 33 @SDDP/…ithm.jl:821 solve_all_children(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 33 @SDDP/…thm.jl:481 kwcall(::@NamedTuple{dualit… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:494 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:289 parameterize(node::SDDP.No… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:211 set_objective(node::SDDP.… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:18 _add_or_set!(dict::Ordere… ╎ ╎ ╎ ╎ ╎ ╎ 29 @SDDP/…thm.jl:507 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 29 @JuMP/…ce.jl:560 optimize! 1╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:600 optimize!(model::Model; i… ╎ ╎ ╎ ╎ ╎ ╎ 28 @JuMP/…ce.jl:609 optimize!(model::Model; i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @MathOptInterface/…:379 optimize!(m::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @HiGHS/…r.jl:2230 optimize!(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @HiGHS/…r.jl:2230 #47 28╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @HiGHS/…s.jl:328 Highs_run ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:522 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:198 get_outgoing_state(node::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:959 lower_bound(v::VariableRe… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:904 LowerBoundRef(v::Variabl… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:813 has_lower_bound(v::Vari… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:525 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…rs.jl:142 get_dual_solution(node::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:93 Dict{Symbol, Float64}(kv::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…or.jl:48 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 none:? #get_dual_solution##0 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1341 FixRef(v::VariableRef) 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1165 is_fixed(v::Variable… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:530 solve_subproblem(model::SD… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:843 NamedTuple ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ithm.jl:678 backward_pass(model::SDDP.Po… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ions.jl:415 refine_bellman_function(mod… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ons.jl:470 _refine_bellman_function_no… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ons.jl:539 _add_multi_cut(node::SDDP.… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ons.jl:86 _add_cut(V::SDDP.ConvexApp… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:96 _add_cut(V::SDDP.ConvexApp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:477 getindex(h::Dict{Symbol,… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:249 ht_keyindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:398 getindex ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…ns.jl:100 _add_cut(V::SDDP.ConvexAp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…ns.jl:127 _add_cut_constraint_to_m… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…os.jl:402 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…nt.jl:173 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…ts.jl:1039 add_constraint(model… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ts.jl:1016 _moi_add_constraint… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:566 add_constrai… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:1976 add_constr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1768 add_constraint(m… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:128 add_item ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:188 setindex… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @OrderedCollections/…:340 setind… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @OrderedCollections/…:312 _setin… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ay.jl:1303 push! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ay.jl:1306 _push! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ay.jl:1174 _growend! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Base/…ay.jl:1149 _growend_inter… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Base/…ay.jl:1069 array_new_memo… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ 8 @SDDP/…ns.jl:102 _add_cut(V::SDDP.ConvexAp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @SDDP/…ns.jl:210 _cut_selection_update(V:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @JuMP/…ts.jl:570 delete(model::Model, co… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @MathOptInterface/…:724 delete(m::MathO… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @MathOptInterface/…:695 delete ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1790 delete(model::HiGHS… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:2106 Highs_deleteRowsBy… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 @HiGHS/…r.jl:1792 delete(model::HiGHS… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 @Base/…ct.jl:66 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 @MathOptInterface/…:264 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 @OrderedCollections/…:455 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 @OrderedCollections/…:126 rehash! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:0 rehash!(… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/int.jl:87 + ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @OrderedCollections/…:142 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 @Base/…ay.jl:597 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 2 @Base/…ay.jl:601 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 2 @Base/…ot.jl:661 Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 2 @Base/…ot.jl:648 Array 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 2 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:156 rehash… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:967 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:157 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ng.jl:33 hash ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ng.jl:39 hash 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ls.jl:848 objectid ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:164 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…on.jl:487 == 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…on.jl:637 == ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:174 rehash… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:0 getindex ╎ ╎ ╎ ╎ ╎ 35 @SDDP/…ithm.jl:969 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 35 @SDDP/…ithm.jl:870 kwcall(::@NamedTuple{risk_me… ╎ ╎ ╎ ╎ ╎ ╎ 35 @SDDP/…ithm.jl:870 calculate_bound ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:893 calculate_bound(model::SDDP… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:555 update_objective_state(obj… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ler.jl:61 setproperty!(x::SDDP.Objec… ╎ ╎ ╎ ╎ ╎ ╎ 34 @SDDP/…thm.jl:910 calculate_bound(model::SDDP… 1╎ ╎ ╎ ╎ ╎ ╎ 34 @SDDP/…thm.jl:481 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:493 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:174 set_incoming_state(node::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1220 fix ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1226 fix(variable::Variable… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1239 _moi_fix(moi_backend:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:661 set ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:632 _replace_cons… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:1475 set ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:1433 _set_subst… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1633 set(model::HiGHS… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:1669 Highs_changeCol… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:494 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:289 parameterize(node::SDDP.N… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1207 get(model::Model, attr:… ╎ ╎ ╎ ╎ ╎ ╎ 30 @SDDP/…hm.jl:507 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 30 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 30 @JuMP/…ce.jl:609 optimize!(model::Model; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 30 @MathOptInterface/…:379 optimize!(m::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 30 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 30 @HiGHS/…r.jl:2230 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 30 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 30 @HiGHS/…r.jl:2230 #47 30╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 30 @HiGHS/…s.jl:328 Highs_run ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:522 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:190 get_outgoing_state(node::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:2091 value ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:2092 value(v::VariableRef; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1239 get(model::Model, att… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1199 _moi_get_result(::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:947 get(model::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:886 _throw_if_ge… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:895 #_throw_if_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:1122 isempty ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:105 iterate(:… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:1264 iterate 4.051187e+00 8.048412e+00 8100 1 61 4.793750e+00 4.048118e+00 2.032025e+01 8235 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.032025e+01 total solves : 8235 best bound : 4.048118e+00 simulation ci : 3.919160e+00 ± 1.981085e-01 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007ab0c41f3760 Total snapshots: 433. Utilization: 0% ╎433 @Base/task.jl:1129 wait_forever() 432╎ 433 @Base/task.jl:1192 wait() [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_68198.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 24372128 (Pool: 24371436; Big: 692); GC: 27 [1045] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/sldp_example_one.jl:47 _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/MOI_wrapper.jl:2230 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/MOI_wrapper.jl:2230 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/ugDMh/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/ugDMh/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7d3ba91679a2) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #optimize!#95 at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:507 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:481 unknown function (ip: 0x7d3ba8aa8c1c) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1371 _simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1323 [inlined] #225 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:854 [inlined] collect_to_with_first! at ./array.jl:832 [inlined] _collect at ./array.jl:826 collect_similar at ./array.jl:738 [inlined] map at ./abstractarray.jl:3386 [inlined] #_simulate#223 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1540 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1529 simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1529 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:394 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 convergence_test at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:989 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7d3ba916a561) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #train#91 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x7d3ba79f260f) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 _include at ./loading.jl:2908 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10 unknown function (ip: 0x7d3ba91453c2) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 _include at ./loading.jl:2908 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_51466.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:286 _start at ./client.jl:553 jfptr__start_59882.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7d3bd2db8249) 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: 499473037 (Pool: 499211511; Big: 261526); GC: 132 PkgEval terminated after 2722.82s: test duration exceeded the time limit