Package evaluation to test SDDP on Julia 1.14.0-DEV.2600 (ff0e675117*) started at 2026-07-06T09:48:16.939 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.59s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [f4570300] + SDDP v1.13.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [d1d4a3ce] + BitFlags v0.1.10 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.4.1 ⌅ [cd3eb016] + HTTP v1.11.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.1 [4076af6c] + JuMP v1.30.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.51.1 [739be429] + MbedTLS v1.1.10 [d8a4904e] + MutableArithmetics v1.8.0 [77ba4419] + NaNMath v1.1.4 [4d8831e6] + OpenSSL v1.6.1 ⌅ [bac558e1] + OrderedCollections v1.8.2 [69de0a69] + Parsers v2.8.6 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.2 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.8.0 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.8.2 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.5+2 [14a3606d] + MozillaCACerts_jll v2026.5.14 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.6s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 10.3 s ✓ MathOptIIS 28.0 s ✓ SDDP 125.1 s ✓ Plots 42.7 s ✓ HiGHS 4 dependencies successfully precompiled in 209 seconds. 206 already precompiled. Precompilation completed after 240.16s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_qOUKnH/Project.toml` ⌅ [87dc4568] HiGHS v1.22.2 [b6b21f68] Ipopt v1.15.0 [682c06a0] JSON v1.6.1 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.6 [f4570300] SDDP v1.13.2 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_qOUKnH/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [d1d4a3ce] BitFlags v0.1.10 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [f0e56b4a] ConcurrentUtilities v2.5.1 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.5 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.49 plus 14.76 for vertex selection. Node: 2 - elapsed time: 0.32 plus 0.31 for vertex selection. Node: 1 - elapsed time: 0.32 plus 0.31 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 16.501258142 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/R1Ovj/src/Inner.jl:1049 Node: 19 - elapsed time: 0.39 plus 0.35 for vertex selection. Node: 18 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 17 - elapsed time: 0.5 plus 0.35 for vertex selection. Node: 16 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 15 - elapsed time: 0.5 plus 0.36 for vertex selection. Node: 14 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 13 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 12 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 11 - elapsed time: 0.47 plus 0.35 for vertex selection. Node: 10 - elapsed time: 0.48 plus 0.36 for vertex selection. Node: 9 - elapsed time: 0.49 plus 0.36 for vertex selection. Node: 8 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 7 - elapsed time: 0.49 plus 0.36 for vertex selection. Node: 6 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 5 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 4 - elapsed time: 0.46 plus 0.35 for vertex selection. Node: 3 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 2 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 1 - elapsed time: 0.47 plus 0.34 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:402 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 6.239512e-01 4 1 3 0.000000e+00 0.000000e+00 1.295324e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.295324e+00 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 3.975699e-01 9 1 20 7.500000e+04 1.075000e+05 1.216451e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.216451e+00 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 2.097857e+00 12 1 10 2.500000e+00 3.361111e+01 2.130869e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.130869e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 5.593331e-01 12 1 10 2.500000e+00 3.361111e+01 6.394551e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.394551e-01 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.122999e-02 46 1 50 0.000000e+00 1.191663e+02 5.321219e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.321219e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.215410e-02 46 1 50 0.000000e+00 1.191663e+02 5.950830e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.950830e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 3.779456e+00 103 1 3S -5.785826e+01 -6.755367e+01 5.638324e+00 309 1 4S -6.230988e+01 -6.688020e+01 6.703675e+00 412 1 5S -7.577792e+01 -6.680771e+01 7.892489e+00 515 1 6S -6.064080e+01 -6.678327e+01 9.067842e+00 618 1 15S -4.168889e+01 -6.677644e+01 1.449719e+01 1545 1 27S -6.068889e+01 -6.677644e+01 1.974203e+01 2781 1 39S -6.468889e+01 -6.677644e+01 2.497826e+01 4017 1 51S -5.268889e+01 -6.677644e+01 3.015619e+01 5253 1 63S -8.068889e+01 -6.677644e+01 3.545773e+01 6489 1 75S -8.368889e+01 -6.677644e+01 4.067652e+01 7725 1 87S -6.068889e+01 -6.677644e+01 4.595415e+01 8961 1 99S -8.368889e+01 -6.677644e+01 5.123293e+01 10197 1 100 -8.368889e+01 -6.677644e+01 5.124685e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.124685e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 7.181406e-02 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.181406e-02 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [1, 1] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 3.688988e+02 2 4 20 5.000000e+00 6.000000e+00 3.740963e+02 40 4 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.740963e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 1.004453e+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/R1Ovj/src/algorithm.jl:1182 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 9.237652e-01 48 1 20 9.000000e+00 6.000000e+00 1.415193e+00 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.415193e+00 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 1.183100e-01 4 1 50 0.000000e+00 0.000000e+00 5.891631e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 5.891631e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:133 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:133 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:133 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:49 └ @ Main.TestVisualization ~/.julia/packages/SDDP/R1Ovj/test/visualization/visualization.jl:49 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.233351e+00 5 1 20 0.000000e+00 -1.000000e+01 7.973737e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.973737e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 4.003611e-01 52 1 10 -2.396000e+01 -2.396000e+01 4.099591e-01 92 1 15 -4.260000e+01 -2.396000e+01 4.202430e-01 132 1 20 -2.396000e+01 -2.396000e+01 4.313731e-01 172 1 25 -5.320000e+00 -2.396000e+01 4.454372e-01 224 1 30 -5.320000e+00 -2.396000e+01 4.573841e-01 264 1 35 -2.396000e+01 -2.396000e+01 4.697282e-01 304 1 40 -2.396000e+01 -2.396000e+01 4.842031e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.842031e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 916ms / 45.2% 11.6MiB / 52.4% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 213ms 51.4% 5.33ms 5.27MiB 86.6% 135KiB solve_subproblem 160 188ms 45.3% 1.17ms 721KiB 11.6% 4.51KiB get_dual_solution 160 1.32ms 0.3% 8.23μs 185KiB 3.0% 1.16KiB prepare_backward_pass 160 147μs 0.0% 918ns 15.0KiB 0.2% 96.0B forward_pass 40 190ms 45.9% 4.75ms 648KiB 10.4% 16.2KiB solve_subproblem 120 188ms 45.3% 1.57ms 475KiB 7.6% 3.96KiB get_dual_solution 120 46.6μs 0.0% 388ns 13.1KiB 0.2% 112B sample_scenario 40 475μs 0.1% 11.9μs 22.3KiB 0.4% 572B calculate_bound 40 11.3ms 2.7% 283μs 182KiB 2.9% 4.54KiB get_dual_solution 40 17.3μs 0.0% 432ns 4.38KiB 0.1% 112B get_dual_solution 36 13.3μs 0.0% 368ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 3.795910e-01 52 1 10 -2.396000e+01 -2.396000e+01 3.889551e-01 92 1 15 -2.396000e+01 -2.396000e+01 3.995080e-01 132 1 20 -4.260000e+01 -2.396000e+01 4.123762e-01 172 1 25 -5.320000e+00 -2.396000e+01 4.288411e-01 224 1 30 -2.396000e+01 -2.396000e+01 4.448211e-01 264 1 35 -2.396000e+01 -2.396000e+01 4.623311e-01 304 1 40 -5.320000e+00 -2.396000e+01 4.815412e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.815412e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 488ms / 80.3% 12.4MiB / 93.7% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 267ms 68.2% 6.68ms 10.8MiB 93.0% 276KiB solve_subproblem 160 29.9ms 7.6% 187μs 722KiB 6.1% 4.51KiB get_dual_solution 160 1.35ms 0.3% 8.45μs 185KiB 1.6% 1.16KiB prepare_backward_pass 160 169μs 0.0% 1.06μs 15.0KiB 0.1% 96.0B forward_pass 40 112ms 28.6% 2.80ms 648KiB 5.5% 16.2KiB solve_subproblem 120 110ms 28.0% 913μs 475KiB 4.0% 3.96KiB get_dual_solution 120 45.1μs 0.0% 376ns 13.1KiB 0.1% 112B sample_scenario 40 484μs 0.1% 12.1μs 22.5KiB 0.2% 575B calculate_bound 40 12.6ms 3.2% 315μs 183KiB 1.5% 4.58KiB get_dual_solution 40 18.9μs 0.0% 473ns 4.38KiB 0.0% 112B get_dual_solution 36 13.7μs 0.0% 379ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 4.703960e-01 5 1 2 -2.500000e+00 -2.000000e+00 5.153232e-01 14 1 3 -1.000000e+00 -2.000000e+00 5.169251e-01 19 1 4 -1.000000e+00 -2.000000e+00 5.177741e-01 24 1 5 -1.000000e+00 -2.000000e+00 5.185790e-01 29 1 6 -3.000000e+00 -2.000000e+00 5.193501e-01 34 1 7 -1.000000e+00 -2.000000e+00 5.201321e-01 39 1 8 -1.000000e+00 -2.000000e+00 5.208831e-01 44 1 9 -3.000000e+00 -2.000000e+00 5.217011e-01 49 1 10 -1.000000e+00 -2.000000e+00 5.225031e-01 54 1 11 -3.000000e+00 -2.000000e+00 5.233302e-01 59 1 12 -3.000000e+00 -2.000000e+00 5.242231e-01 64 1 13 -1.000000e+00 -2.000000e+00 5.250790e-01 69 1 14 -1.000000e+00 -2.000000e+00 5.259380e-01 74 1 15 -3.000000e+00 -2.000000e+00 5.268030e-01 79 1 16 -1.000000e+00 -2.000000e+00 5.277030e-01 84 1 17 -3.000000e+00 -2.000000e+00 5.286040e-01 89 1 18 -3.000000e+00 -2.000000e+00 5.295031e-01 94 1 19 -1.000000e+00 -2.000000e+00 5.304391e-01 99 1 20 -3.000000e+00 -2.000000e+00 5.313752e-01 104 1 21 -1.000000e+00 -2.000000e+00 5.330131e-01 113 1 22 -1.000000e+00 -2.000000e+00 5.339041e-01 118 1 23 -3.000000e+00 -2.000000e+00 5.348902e-01 123 1 24 -3.000000e+00 -2.000000e+00 5.358901e-01 128 1 25 -1.000000e+00 -2.000000e+00 5.368812e-01 133 1 26 -3.000000e+00 -2.000000e+00 5.378911e-01 138 1 27 -3.000000e+00 -2.000000e+00 5.389152e-01 143 1 28 -1.000000e+00 -2.000000e+00 5.399392e-01 148 1 29 -3.000000e+00 -2.000000e+00 5.409641e-01 153 1 30 -3.000000e+00 -2.000000e+00 5.420041e-01 158 1 31 -1.000000e+00 -2.000000e+00 5.430572e-01 163 1 32 -1.000000e+00 -2.000000e+00 5.441101e-01 168 1 33 -1.000000e+00 -2.000000e+00 5.451982e-01 173 1 34 -3.000000e+00 -2.000000e+00 5.463152e-01 178 1 35 -1.000000e+00 -2.000000e+00 5.474231e-01 183 1 36 -3.000000e+00 -2.000000e+00 5.485411e-01 188 1 37 -1.000000e+00 -2.000000e+00 5.496652e-01 193 1 38 -1.000000e+00 -2.000000e+00 5.507941e-01 198 1 39 -1.000000e+00 -2.000000e+00 5.519361e-01 203 1 40 -1.000000e+00 -2.000000e+00 5.531182e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.531182e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 8.224280e-01 51 1 21 8.151871e+01 2.236176e+02 1.837222e+00 3723 1 30 2.138334e+03 2.336430e+02 3.427015e+00 7674 1 38 8.025312e+02 2.352957e+02 4.738715e+00 10194 1 46 1.737622e+02 2.358930e+02 5.775417e+00 12054 1 59 3.340847e+02 2.361437e+02 7.002605e+00 14097 1 63 1.493193e+03 2.362190e+02 8.213498e+00 15909 1 73 3.670177e+02 2.363045e+02 9.420007e+00 17655 1 99 4.184450e+02 2.364095e+02 1.442438e+01 23469 1 100 4.969839e+02 2.364135e+02 1.487235e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.487235e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 1.867951e+00 1400 1 20 -4.764789e+00 -4.394789e+00 2.206598e+00 2800 1 30 -4.672487e+00 -4.377000e+00 2.547703e+00 4200 1 40 -4.483495e+00 -4.370632e+00 2.901604e+00 5600 1 50 -4.167321e+00 -4.364999e+00 3.252497e+00 7000 1 60 -4.362455e+00 -4.358864e+00 3.615832e+00 8400 1 70 -4.849916e+00 -4.355337e+00 3.983909e+00 9800 1 80 -4.861568e+00 -4.353006e+00 4.352940e+00 11200 1 90 -4.268264e+00 -4.350407e+00 4.732572e+00 12600 1 100 -4.539897e+00 -4.348641e+00 5.120214e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.120214e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 1.133739e+00 1050 1 20 -1.529197e+00 -1.471817e+00 1.221224e+00 1600 1 30 -1.410768e+00 -1.471408e+00 1.394535e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.486864e+00 3200 1 50 -1.002277e+00 -1.471216e+00 1.671349e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.768231e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.993028e+00 5850 1 80 -1.448703e+00 -1.471132e+00 2.114497e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.345511e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.475841e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.896107e+00 8550 1 120 -1.591292e+00 -1.471075e+00 3.108035e+00 9100 1 130 -1.271481e+00 -1.471075e+00 3.219999e+00 9650 1 140 -1.249746e+00 -1.471075e+00 3.355786e+00 10200 1 150 -1.536222e+00 -1.471075e+00 3.495152e+00 10750 1 160 -1.565422e+00 -1.471075e+00 3.640775e+00 11300 1 170 -1.631076e+00 -1.471075e+00 3.785262e+00 11850 1 180 -1.494909e+00 -1.471075e+00 3.929855e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.956707e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.956707e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 3.948131e-01 54 1 20 3.336455e+05 3.402383e+05 4.083340e-01 104 1 30 3.993519e+05 3.403155e+05 4.219689e-01 158 1 40 3.337559e+05 3.403155e+05 4.355080e-01 208 1 48 3.337559e+05 3.403155e+05 4.476290e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.476290e-01 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 3.221529e-01 92 1 20 4.506600e+05 4.054833e+05 3.448670e-01 172 1 30 3.959476e+05 4.067125e+05 3.660798e-01 264 1 40 4.497721e+05 4.067125e+05 3.864329e-01 344 1 47 3.959476e+05 4.067125e+05 4.027579e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.027579e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 8.910868e+00 14 1 35 5.679000e+03 4.074139e+03 9.914988e+00 706 1 40 2.308500e+03 4.074139e+03 9.949637e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.949637e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 3.402137e+00 8 1 5L 4.000000e+04 6.250000e+04 4.601480e+00 52 1 11L 4.000000e+04 6.250000e+04 5.767495e+00 100 1 17L 4.000000e+04 6.250000e+04 6.911493e+00 148 1 20L 6.000000e+04 6.250000e+04 7.598969e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.598969e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 5.845780e-01 8 1 14 6.000000e+04 6.250000e+04 1.609328e+00 124 1 20 4.000000e+04 6.250000e+04 2.091355e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.091355e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.372959e+00 5 1 10 4.000000e+04 6.250000e+04 1.990077e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.990077e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 8.564610e-01 6 1 20L 9.000000e+00 9.000000e+00 1.013829e+00 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.013829e+00 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 3.050733e+00 87 1 10 -1.109375e+01 2.605769e-01 3.063955e+00 142 1 15 3.105797e+00 5.434132e-01 3.078835e+00 197 1 20 -2.463349e+01 1.503415e+00 3.095594e+00 252 1 25 -1.421085e-14 1.514085e+00 3.111580e+00 307 1 30 4.864000e+01 1.514085e+00 7.831355e+00 394 1 35 4.864000e+01 1.514085e+00 7.846860e+00 449 1 40 -8.870299e+00 1.514085e+00 7.862975e+00 504 1 45 -1.428571e+00 1.514085e+00 7.880831e+00 559 1 48 -1.428571e+00 1.514085e+00 7.893990e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.893990e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 2.824774e+00 278 1 20 1.440356e+01 1.278425e+00 2.869140e+00 428 1 30 8.388546e+00 1.278425e+00 2.943759e+00 706 1 40 6.666667e-03 1.278410e+00 2.988278e+00 856 1 50 -5.614035e+00 1.278410e+00 3.064114e+00 1134 1 60 1.426676e+01 1.278410e+00 3.126518e+00 1284 1 64 1.261296e+01 1.278410e+00 3.149126e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.149126e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 1.120706e+00 278 1 20 1.111084e+01 1.278410e+00 1.180478e+00 428 1 30 2.293779e+01 1.278410e+00 1.277166e+00 706 1 40 1.426676e+01 1.278410e+00 1.366136e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.366136e+00 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.694235e+00 1.060052e+01 9.417760e+00 900 1 20 5.498088e+00 1.456766e+01 9.971579e+00 1720 1 30 2.912197e+01 1.665921e+01 1.118572e+01 3036 1 40 1.608515e+01 1.792397e+01 1.252476e+01 4192 1 50 3.997965e+00 1.830624e+01 1.364664e+01 5020 1 60 1.102045e+01 1.840685e+01 1.485768e+01 5808 1 70 8.045596e+00 1.846781e+01 1.603971e+01 6540 1 80 4.710242e+01 1.851858e+01 1.697250e+01 7088 1 90 3.901806e+01 1.865685e+01 1.914428e+01 8180 1 100 8.003646e+00 1.869095e+01 2.011393e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.011393e+01 total solves : 8664 best bound : 1.869095e+01 simulation ci : 2.075231e+01 ± 4.077473e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 4.241910e+00 36 1 10 0.000000e+00 0.000000e+00 4.301477e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.301477e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 8.246183e-03 407 1 10 2.850000e+02 5.728212e+02 8.259416e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.259416e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 8.552074e-03 778 1 10 2.825000e+02 3.465177e+02 8.334303e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.334303e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 8.693933e-03 1149 1 10 2.587500e+02 2.052799e+02 8.042598e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.042598e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 9.001017e-03 1520 1 10 2.875000e+02 4.661908e+02 8.605599e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.605599e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 8.922100e-03 1891 1 10 1.000000e+02 1.129771e+02 8.383703e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.383703e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 9.208918e-03 2262 1 10 1.625000e+02 2.794553e+02 8.707905e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.707905e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 9.319782e-03 2633 1 10 5.487500e+02 4.077574e+02 8.989477e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.989477e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 1.061988e-02 3004 1 10 6.771875e+02 5.210100e+02 9.317803e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.317803e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 9.294033e-03 3375 1 10 5.312500e+01 5.938345e+01 8.766317e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.766317e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 2.886748e+00 235 1 10 1.000000e+01 9.159200e+00 3.394699e+00 310 1 15 1.000000e+01 9.159200e+00 3.955796e+00 385 1 20 1.000000e+01 9.159200e+00 4.489813e+00 460 1 25 1.000000e+01 9.159200e+00 7.416263e+00 695 1 30 4.000000e+00 9.159200e+00 7.933698e+00 770 1 35 1.000000e+01 9.159200e+00 8.450692e+00 845 1 40 1.000000e+01 9.159200e+00 9.031841e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.031841e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 2.219532e+00 510 1 20 1.000000e+01 6.834387e+00 4.000436e+00 720 1 30 7.000000e+00 6.834387e+00 8.222498e+00 1230 1 40 1.000000e+01 6.823805e+00 9.965991e+00 1440 1 50 3.000000e+00 6.823805e+00 1.426596e+01 1950 1 60 2.000000e+00 6.823805e+00 1.606845e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.606845e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.231363e+01 920 1 20 6.049875e+06 2.075240e+06 1.502455e+01 1340 1 30 5.496647e+05 2.078257e+06 2.538845e+01 2260 1 40 3.985383e+04 2.078257e+06 2.796843e+01 2680 1 50 2.994548e+05 2.078257e+06 3.825154e+01 3600 1 60 3.799457e+06 2.078257e+06 4.089533e+01 4020 1 61 3.549665e+06 2.078257e+06 4.115463e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.115463e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 2.976439e+01 920 1 20L 2.799668e+06 2.079457e+06 5.005595e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.908461e+01 2260 1 40L 4.299882e+06 2.079457e+06 9.919485e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.919485e+01 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 88 running 1 of 1 signal (10): User defined signal 1 ijl_excstack_state at /source/src/rtutils.c:368:23 _get_model_attribute at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Utilities/cachingoptimizer.jl:833:0 (pc: 3) get at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Utilities/cachingoptimizer.jl:897:0 [inlined] _moi_get_result at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:1200:0 (pc: 173) unknown function (ip: 0x71b331b06406) at (unknown file) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 get at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:1220:0 (pc: 51) #objective_value#37 at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/objective.jl:122:0 [inlined] objective_value at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/objective.jl:118:0 [inlined] stage_objective_value at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:247:0 (pc: 28) unknown function (ip: 0x71b32f984caa) at (unknown file) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:534:0 (pc: 85) solve_subproblem at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:492:0 (pc: 7) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/forward_passes.jl:101:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:12:0 [inlined] forward_pass at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/forward_passes.jl:100:0 (pc: 1009) unknown function (ip: 0x71b32f97c35b) at (unknown file) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 iteration at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:966:0 (pc: 30) #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:51:0 (pc: 3) disable_sigint at ./c.jl:153:0 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:50:0 (pc: 7) unknown function (ip: 0x71b32f975eed) at (unknown file) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 #train#91 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1292:0 (pc: 480) train at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1117:0 [inlined] test_hydro_valley_model at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/hydro_valley.jl:238:0 (pc: 106) unknown function (ip: 0x71b32f55e559) at (unknown file) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 jl_apply at /source/src/julia.h:2430:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:950:21 ijl_eval_thunk at /source/src/toplevel.c:764:18 jl_toplevel_eval_flex at /source/src/toplevel.c:708:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:598:15 jl_toplevel_eval_flex at /source/src/toplevel.c:680:27 ijl_toplevel_eval at /source/src/toplevel.c:778:12 ijl_toplevel_eval_in at /source/src/toplevel.c:823:13 eval at ./boot.jl:533:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 208) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:326:0 (pc: 1) IncludeInto at ./Base.jl:327:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:0 (pc: 599) util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:0 (pc: 4) unknown function (ip: 0x71b331af1522) at (unknown file) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 jl_apply at /source/src/julia.h:2430:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 eval_body at /source/src/interpreter.c:617:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:950:21 ijl_eval_thunk at /source/src/toplevel.c:764:18 jl_toplevel_eval_flex at /source/src/toplevel.c:708:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:598:15 jl_toplevel_eval_flex at /source/src/toplevel.c:680:27 ijl_toplevel_eval at /source/src/toplevel.c:778:12 ijl_toplevel_eval_in at /source/src/toplevel.c:823:13 eval at ./boot.jl:533:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 208) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:326:0 (pc: 1) IncludeInto at ./Base.jl:327:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 jl_apply at /source/src/julia.h:2430:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:950:21 ijl_eval_thunk at /source/src/toplevel.c:764:18 jl_toplevel_eval_flex at /source/src/toplevel.c:708:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:598:15 jl_toplevel_eval_flex at /source/src/toplevel.c:680:27 ijl_toplevel_eval at /source/src/toplevel.c:778:12 ijl_toplevel_eval_in at /source/src/toplevel.c:823:13 eval at ./boot.jl:533:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 426) _start at ./client.jl:596:0 (pc: 295) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 jl_apply at /source/src/julia.h:2430:12 [inlined] true_main at /source/src/jlapi.c:985:29 jl_repl_entrypoint at /source/src/jlapi.c:1152:15 main at /source/cli/loader_exe.c:58:15 unknown function (ip: 0x71b3715c3249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:524:34 wait at ./task.jl:1248:0 (pc: 107) wait_forever at ./task.jl:1170:0 (pc: 4) jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4479:23 [inlined] ijl_apply_generic at /source/src/gf.c:4717:12 jl_apply at /source/src/julia.h:2430:12 [inlined] start_task at /source/src/task.c:1276:19 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000075d4c39863b0 Total snapshots: 1. Utilization: 0% ╎1 @Base/task.jl:1170 wait_forever() ╎ 1 @Base/task.jl:1248 wait() ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000071b355dfc010 Total snapshots: 12. Utilization: 100% ╎12 @Base/client.jl:596 _start() ╎ 12 @Base/client.jl:321 exec_options(opts::Base.JLOptions) ╎ 12 @Base/boot.jl:533 eval(m::Module, e::Any) ╎ 12 @Base/Base.jl:327 (::Base.IncludeInto)(fname::String) ╎ 12 @Base/Base.jl:326 include(mapexpr::Function, mod::Module, _path::Stri… ╎ 12 @Base/loading.jl:3192 _include(mapexpr::Function, mod::Module, _path… ╎ ╎ 12 @Base/loading.jl:3132 include_string(mapexpr::typeof(identity), mod… ╎ ╎ 12 @Base/boot.jl:533 eval(m::Module, e::Any) ╎ ╎ 12 …Ovj/test/runtests.jl:11 util_test_directory(dir::String) ╎ ╎ 12 …vj/test/runtests.jl:15 util_test_directory(dir::String, exclude… ╎ ╎ 12 @Test/src/Test.jl:2246 macro expansion ╎ ╎ ╎ 12 …j/test/runtests.jl:17 macro expansion ╎ ╎ ╎ 12 @Base/Base.jl:327 (::Base.IncludeInto)(fname::String) ╎ ╎ ╎ 12 @Base/Base.jl:326 include(mapexpr::Function, mod::Module, _p… ╎ ╎ ╎ 12 @Base/loading.jl:3192 _include(mapexpr::Function, mod::Modu… ╎ ╎ ╎ 12 @Base/loading.jl:3132 include_string(mapexpr::typeof(ident… ╎ ╎ ╎ ╎ 12 @Base/boot.jl:533 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 1 …/hydro_valley.jl:238 test_hydro_valley_model() ╎ ╎ ╎ ╎ 1 @SDDP/…gorithm.jl:1117 kwcall(::@NamedTuple{iteration_l… ╎ ╎ ╎ ╎ 1 @SDDP/…orithm.jl:1292 train(model::SDDP.PolicyGraph{Tu… ╎ ╎ ╎ ╎ 1 @SDDP/…schemes.jl:50 master_loop(::SDDP.Serial, model… ╎ ╎ ╎ ╎ ╎ 1 @Base/c.jl:153 disable_sigint(f::SDDP.var"#master_lo… ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…chemes.jl:51 (::SDDP.var"#master_loop##0#mas… ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…rithm.jl:970 iteration(model::SDDP.PolicyGr… ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…rithm.jl:676 backward_pass(model::SDDP.Pol… ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ithm.jl:832 solve_all_children(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ithm.jl:492 kwcall(::@NamedTuple{duality… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ithm.jl:518 solve_subproblem(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ace.jl:560 optimize!(model::Model) ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ace.jl:610 optimize!(model::Model; ig… ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:379 optimize!(m::MathOp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:367 optimize!(b::MathO… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2300 optimize!(model::HiGHS.… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/c.jl:153 disable_sigint(f::HiGHS.v… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#48"{… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2253 _Highs_run_workaroun… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:328 Highs_run(highs::HiG… ╎ ╎ ╎ ╎ 11 …/hydro_valley.jl:244 test_hydro_valley_model() ╎ ╎ ╎ ╎ 11 @SDDP/…gorithm.jl:1117 kwcall(::@NamedTuple{iteration_l… ╎ ╎ ╎ ╎ 11 @SDDP/…orithm.jl:1292 train(model::SDDP.PolicyGraph{Tu… ╎ ╎ ╎ ╎ 5 @SDDP/…schemes.jl:43 master_loop(::SDDP.Serial, model… ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…orithm.jl:456 kwcall(::@NamedTuple{throw_erro… ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…orithm.jl:458 _initialize_solver(model::SDDP… ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…rithm.jl:423 kwcall(::@NamedTuple{throw_err… ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…rithm.jl:440 _initialize_solver(node::SDDP… ╎ ╎ ╎ ╎ ╎ 5 @JuMP/…face.jl:495 set_optimizer(model::Model, o… ╎ ╎ ╎ ╎ ╎ ╎ 5 @JuMP/…face.jl:503 set_optimizer(model::Model, … ╎ ╎ ╎ ╎ ╎ ╎ 5 @MathOptInterface/…:162 kwcall(::@NamedTuple{w… ╎ ╎ ╎ ╎ ╎ ╎ 5 @MathOptInterface/…:190 instantiate(optimizer… ╎ ╎ ╎ ╎ ╎ ╎ 4 @MathOptInterface/…:71 full_bridge_optimizer… ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:36 add_all_bridges(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:438 add_bridge(b::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:473 has_bridge(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2528 findfirst(testf::Base.… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2477 findnext(testf::Base.… ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:84 add_all_bridges(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:438 add_bridge(b::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:473 has_bridge(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2528 findfirst(testf::Base.… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2477 findnext(testf::Base.… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:1206 (::Base.Fix2{typeof(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:1206 (::Base.Fix2{typeof… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:178 isequal(x::Type, y:… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:295 ==(T::Type, S::Typ… ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:110 add_all_bridges(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:438 add_bridge(b::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:473 has_bridge(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2528 findfirst(testf::Base.… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2477 findnext(testf::Base.… ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:143 add_all_bridges(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:438 add_bridge(b::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:473 has_bridge(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2528 findfirst(testf::Base.… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2477 findnext(testf::Base.… ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:72 full_bridge_optimizer… ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:33 add_all_bridges(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:438 add_bridge(b::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:473 has_bridge(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2528 findfirst(testf::Base.… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:2477 findnext(testf::Base.… ╎ ╎ ╎ ╎ 6 @SDDP/…schemes.jl:50 master_loop(::SDDP.Serial, model… ╎ ╎ ╎ ╎ ╎ 6 @Base/c.jl:153 disable_sigint(f::SDDP.var"#master_lo… ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…chemes.jl:51 (::SDDP.var"#master_loop##0#mas… ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…rithm.jl:966 iteration(model::SDDP.PolicyGr… ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…asses.jl:100 forward_pass(model::SDDP.Poli… ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…rithm.jl:12 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…sses.jl:101 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…ithm.jl:492 kwcall(::@NamedTuple{dualit… ╎ ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…thm.jl:518 solve_subproblem(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ 6 @JuMP/…ace.jl:560 optimize!(model::Model) ╎ ╎ ╎ ╎ ╎ ╎ 6 @JuMP/…ce.jl:610 optimize!(model::Model; ig… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @MathOptInterface/…:370 optimize!(m::MathO… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @MathOptInterface/…:121 optimize!(dest::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @MathOptInterface/…:448 copy_to(dest::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @MathOptInterface/…:385 default_copy_to… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @MathOptInterface/…:383 empty!(b::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @HiGHS/…r.jl:367 empty!(model::HiGHS.… 4╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @HiGHS/…s.jl:149 Highs_destroy(highs… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @MathOptInterface/…:122 optimize!(dest::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @MathOptInterface/…:367 optimize!(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @HiGHS/…r.jl:2300 optimize!(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/c.jl:153 disable_sigint(f::HiGHS… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#48… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @HiGHS/…r.jl:2253 _Highs_run_workaro… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @HiGHS/…s.jl:328 Highs_run(highs::H… [ Info: infinite_horizon_hydro_thermal.jl [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:524:34 [88] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/infinite_horizon_hydro_thermal.jl:74 _ZN4llvm5SUnit7addPredERKNS_4SDepEb at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm18ScheduleDAGSDNodes13AddSchedEdgesEv at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN12_GLOBAL__N_117ScheduleDAGRRList8ScheduleEv at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm16SelectionDAGISel17CodeGenAndEmitDAGEv at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm16SelectionDAGISel20SelectAllBasicBlocksERKNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm16SelectionDAGISel20runOnMachineFunctionERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm22SelectionDAGISelLegacy20runOnMachineFunctionERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.21.1jl (unknown line) PkgEval terminated after 2723.41s: test duration exceeded the time limit