Package evaluation to test SDDP on Julia 1.14.0-DEV.2311 (d99fded7bf*) started at 2026-06-09T19:32:00.833 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.34s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [f4570300] + SDDP v1.13.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [d1d4a3ce] + BitFlags v0.1.10 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.4.0 ⌅ [cd3eb016] + HTTP v1.11.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.1 [4076af6c] + JuMP v1.30.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.51.1 [739be429] + MbedTLS v1.1.10 [d8a4904e] + MutableArithmetics v1.8.0 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.6.1 ⌅ [bac558e1] + OrderedCollections v1.8.2 [69de0a69] + Parsers v2.8.5 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.2 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.8.0 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.8.2 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.2+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.95s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.9 s ✓ HiGHS_jll 66.9 s ✓ Ipopt → IpoptMathOptInterfaceExt 30.1 s ✓ SDDP 11.0 s ✓ MathOptIIS 42.5 s ✓ HiGHS 5 dependencies successfully precompiled in 166 seconds. 205 already precompiled. Precompilation completed after 183.47s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_GsALmT/Project.toml` ⌅ [87dc4568] HiGHS v1.22.2 [b6b21f68] Ipopt v1.14.3 [682c06a0] JSON v1.6.1 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.6 [f4570300] SDDP v1.13.2 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_GsALmT/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: 0.41 plus 10.7 for vertex selection. Node: 2 - elapsed time: 0.32 plus 0.3 for vertex selection. Node: 1 - elapsed time: 0.31 plus 0.3 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 12.342641643 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/R1Ovj/src/Inner.jl:1049 Node: 19 - elapsed time: 0.37 plus 0.34 for vertex selection. Node: 18 - elapsed time: 0.46 plus 0.35 for vertex selection. Node: 17 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 16 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 15 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 14 - elapsed time: 0.45 plus 0.33 for vertex selection. Node: 13 - elapsed time: 0.45 plus 0.33 for vertex selection. Node: 12 - elapsed time: 0.46 plus 0.33 for vertex selection. Node: 11 - elapsed time: 0.47 plus 0.33 for vertex selection. Node: 10 - elapsed time: 0.47 plus 0.33 for vertex selection. Node: 9 - elapsed time: 0.46 plus 0.33 for vertex selection. Node: 8 - elapsed time: 0.45 plus 0.34 for vertex selection. Node: 7 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 6 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 5 - elapsed time: 0.45 plus 0.33 for vertex selection. Node: 4 - elapsed time: 0.45 plus 0.33 for vertex selection. Node: 3 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 2 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 1 - elapsed time: 0.49 plus 0.33 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:402 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 5.958722e-01 4 1 3 0.000000e+00 0.000000e+00 1.174107e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.174107e+00 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 5.839169e-01 9 1 20 7.500000e+04 1.075000e+05 1.324670e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.324670e+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 2.132596e+00 12 1 10 2.500000e+00 3.361111e+01 2.161571e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.161571e+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 5.210040e-01 12 1 10 2.500000e+00 3.361111e+01 5.904028e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.904028e-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 1.079798e-02 46 1 50 0.000000e+00 1.191663e+02 5.662379e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.662379e-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 1.132298e-02 46 1 50 0.000000e+00 1.191663e+02 5.740230e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.740230e-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 3.618965e+00 103 1 3S -5.785826e+01 -6.755367e+01 4.810889e+00 309 1 5S -7.577792e+01 -6.680771e+01 6.336005e+00 515 1 7S -6.493167e+01 -6.677772e+01 7.831139e+00 721 1 11S -8.368889e+01 -6.677644e+01 9.511145e+00 1133 1 25S -4.168889e+01 -6.677644e+01 1.524054e+01 2575 1 37S -7.668889e+01 -6.677644e+01 2.028470e+01 3811 1 51S -5.268889e+01 -6.677644e+01 2.611953e+01 5253 1 63S -8.068889e+01 -6.677644e+01 3.117946e+01 6489 1 75S -8.368889e+01 -6.677644e+01 3.622517e+01 7725 1 87S -6.068889e+01 -6.677644e+01 4.128738e+01 8961 1 99S -8.368889e+01 -6.677644e+01 4.630959e+01 10197 1 100 -8.368889e+01 -6.677644e+01 4.632266e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.632266e+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 7.474899e-02 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.474899e-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 3.000000e+00 6.000000e+00 3.798230e+02 2 2 20 7.000000e+00 6.000000e+00 3.851035e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.851035e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.500000e+00 ± 1.020429e+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 7.109199e-01 48 1 20 9.000000e+00 6.000000e+00 1.028497e+00 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.028497e+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 3.656311e-01 4 1 50 0.000000e+00 0.000000e+00 6.891811e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 6.891811e-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 7.945889e+00 5 1 20 0.000000e+00 -1.000000e+01 8.674063e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.674063e+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 3.768559e-01 52 1 10 -2.396000e+01 -2.396000e+01 3.856149e-01 92 1 15 -4.260000e+01 -2.396000e+01 3.942349e-01 132 1 20 -2.396000e+01 -2.396000e+01 4.042759e-01 172 1 25 -5.320000e+00 -2.396000e+01 4.174559e-01 224 1 30 -5.320000e+00 -2.396000e+01 4.293239e-01 264 1 35 -2.396000e+01 -2.396000e+01 4.422379e-01 304 1 40 -2.396000e+01 -2.396000e+01 4.554410e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.554410e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 832ms / 46.4% 11.9MiB / 51.5% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 202ms 52.2% 5.04ms 5.30MiB 86.7% 136KiB solve_subproblem 160 177ms 45.9% 1.11ms 721KiB 11.5% 4.51KiB get_dual_solution 160 1.32ms 0.3% 8.22μs 185KiB 3.0% 1.16KiB prepare_backward_pass 160 100μs 0.0% 627ns 15.0KiB 0.2% 96.0B forward_pass 40 175ms 45.2% 4.37ms 648KiB 10.3% 16.2KiB solve_subproblem 120 173ms 44.7% 1.44ms 475KiB 7.6% 3.96KiB get_dual_solution 120 40.2μs 0.0% 335ns 13.1KiB 0.2% 112B sample_scenario 40 421μs 0.1% 10.5μs 22.3KiB 0.4% 572B calculate_bound 40 10.0ms 2.6% 250μs 182KiB 2.9% 4.54KiB get_dual_solution 40 16.5μs 0.0% 412ns 4.38KiB 0.1% 112B get_dual_solution 36 12.4μs 0.0% 344ns 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 4.561300e-01 52 1 10 -2.396000e+01 -2.396000e+01 4.661090e-01 92 1 15 -2.396000e+01 -2.396000e+01 4.767232e-01 132 1 20 -4.260000e+01 -2.396000e+01 4.887650e-01 172 1 25 -5.320000e+00 -2.396000e+01 5.039351e-01 224 1 30 -2.396000e+01 -2.396000e+01 5.185661e-01 264 1 35 -2.396000e+01 -2.396000e+01 5.347161e-01 304 1 40 -5.320000e+00 -2.396000e+01 9.394121e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.394121e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 952ms / 92.1% 12.4MiB / 93.6% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 594ms 67.8% 14.9ms 10.8MiB 93.0% 276KiB solve_subproblem 160 219ms 25.0% 1.37ms 722KiB 6.1% 4.51KiB get_dual_solution 160 1.30ms 0.1% 8.12μs 185KiB 1.6% 1.16KiB prepare_backward_pass 160 110μs 0.0% 690ns 15.0KiB 0.1% 96.0B forward_pass 40 271ms 30.9% 6.78ms 648KiB 5.5% 16.2KiB solve_subproblem 120 269ms 30.7% 2.24ms 475KiB 4.0% 3.96KiB get_dual_solution 120 42.4μs 0.0% 354ns 13.1KiB 0.1% 112B sample_scenario 40 484μs 0.1% 12.1μs 22.5KiB 0.2% 575B calculate_bound 40 11.2ms 1.3% 280μs 183KiB 1.5% 4.58KiB get_dual_solution 40 20.1μs 0.0% 503ns 4.38KiB 0.0% 112B get_dual_solution 36 11.9μs 0.0% 332ns 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 3.932691e-01 5 1 2 -2.500000e+00 -2.000000e+00 4.441261e-01 14 1 3 -1.000000e+00 -2.000000e+00 4.456429e-01 19 1 4 -1.000000e+00 -2.000000e+00 4.475210e-01 24 1 5 -1.000000e+00 -2.000000e+00 4.486442e-01 29 1 6 -3.000000e+00 -2.000000e+00 4.496200e-01 34 1 7 -1.000000e+00 -2.000000e+00 4.512930e-01 39 1 8 -1.000000e+00 -2.000000e+00 4.531240e-01 44 1 9 -3.000000e+00 -2.000000e+00 4.544342e-01 49 1 10 -1.000000e+00 -2.000000e+00 4.562511e-01 54 1 11 -3.000000e+00 -2.000000e+00 4.574130e-01 59 1 12 -3.000000e+00 -2.000000e+00 4.584801e-01 64 1 13 -1.000000e+00 -2.000000e+00 4.603601e-01 69 1 14 -1.000000e+00 -2.000000e+00 4.622850e-01 74 1 15 -3.000000e+00 -2.000000e+00 4.638100e-01 79 1 16 -1.000000e+00 -2.000000e+00 4.647911e-01 84 1 17 -3.000000e+00 -2.000000e+00 4.657881e-01 89 1 18 -3.000000e+00 -2.000000e+00 4.669781e-01 94 1 19 -1.000000e+00 -2.000000e+00 4.688110e-01 99 1 20 -3.000000e+00 -2.000000e+00 4.706671e-01 104 1 21 -1.000000e+00 -2.000000e+00 4.733841e-01 113 1 22 -1.000000e+00 -2.000000e+00 4.752162e-01 118 1 23 -3.000000e+00 -2.000000e+00 4.770601e-01 123 1 24 -3.000000e+00 -2.000000e+00 4.782209e-01 128 1 25 -1.000000e+00 -2.000000e+00 4.793680e-01 133 1 26 -3.000000e+00 -2.000000e+00 4.811330e-01 138 1 27 -3.000000e+00 -2.000000e+00 4.830060e-01 143 1 28 -1.000000e+00 -2.000000e+00 4.848361e-01 148 1 29 -3.000000e+00 -2.000000e+00 4.861012e-01 153 1 30 -3.000000e+00 -2.000000e+00 4.872789e-01 158 1 31 -1.000000e+00 -2.000000e+00 4.892550e-01 163 1 32 -1.000000e+00 -2.000000e+00 4.912581e-01 168 1 33 -1.000000e+00 -2.000000e+00 4.933031e-01 173 1 34 -3.000000e+00 -2.000000e+00 4.950151e-01 178 1 35 -1.000000e+00 -2.000000e+00 4.964461e-01 183 1 36 -3.000000e+00 -2.000000e+00 4.985631e-01 188 1 37 -1.000000e+00 -2.000000e+00 5.008161e-01 193 1 38 -1.000000e+00 -2.000000e+00 5.021591e-01 198 1 39 -1.000000e+00 -2.000000e+00 5.036631e-01 203 1 40 -1.000000e+00 -2.000000e+00 5.059521e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.059521e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 7.797060e-01 51 1 24 2.178733e+02 2.251256e+02 1.789126e+00 3972 1 30 2.138334e+03 2.336430e+02 3.188132e+00 7674 1 38 8.025312e+02 2.352957e+02 4.354705e+00 10194 1 46 1.737622e+02 2.358930e+02 5.393959e+00 12054 1 59 3.340847e+02 2.361437e+02 6.617222e+00 14097 1 63 1.493193e+03 2.362190e+02 7.843919e+00 15909 1 72 1.044387e+02 2.362973e+02 8.890925e+00 17364 1 99 4.184450e+02 2.364095e+02 1.416580e+01 23469 1 100 4.969839e+02 2.364135e+02 1.460918e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.460918e+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 1.338982e+00 1400 1 20 -4.764789e+00 -4.394789e+00 1.602492e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.894649e+00 4200 1 40 -4.483495e+00 -4.370632e+00 2.179910e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.487144e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.773289e+00 8400 1 70 -4.849916e+00 -4.355337e+00 3.102042e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.452470e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.802247e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.161021e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.161021e+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 1.179490e+00 1050 1 20 -1.529197e+00 -1.471817e+00 1.264956e+00 1600 1 30 -1.410768e+00 -1.471408e+00 1.457375e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.552548e+00 3200 1 50 -1.002277e+00 -1.471216e+00 1.747224e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.839402e+00 4800 1 70 -1.391746e+00 -1.471164e+00 2.047272e+00 5850 1 80 -1.448703e+00 -1.471132e+00 2.155093e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.370559e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.487038e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.603295e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.724089e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.839488e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.962280e+00 10200 1 150 -1.536222e+00 -1.471075e+00 3.083380e+00 10750 1 160 -1.565422e+00 -1.471075e+00 3.220949e+00 11300 1 170 -1.631076e+00 -1.471075e+00 3.355485e+00 11850 1 180 -1.494909e+00 -1.471075e+00 3.489813e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.514609e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.514609e+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 4.815960e-01 54 1 20 3.336455e+05 3.402383e+05 4.949260e-01 104 1 30 3.993519e+05 3.403155e+05 5.082049e-01 158 1 40 3.337559e+05 3.403155e+05 5.196269e-01 208 1 48 3.337559e+05 3.403155e+05 5.301340e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.301340e-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 4.170010e-01 92 1 20 4.506600e+05 4.054833e+05 4.361370e-01 172 1 30 3.959476e+05 4.067125e+05 4.532239e-01 264 1 40 4.497721e+05 4.067125e+05 4.706578e-01 344 1 47 3.959476e+05 4.067125e+05 4.848230e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.848230e-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 8.968937e+00 14 1 40 2.308500e+03 4.074139e+03 9.918971e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.918971e+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 2.973445e+00 8 1 5L 4.000000e+04 6.250000e+04 4.113048e+00 52 1 11L 4.000000e+04 6.250000e+04 5.240659e+00 100 1 17L 4.000000e+04 6.250000e+04 6.378634e+00 148 1 20L 6.000000e+04 6.250000e+04 7.040941e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.040941e+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 4.658890e-01 8 1 15 5.500000e+04 6.250000e+04 1.529119e+00 132 1 20 4.000000e+04 6.250000e+04 1.905092e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.905092e+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 8.972840e-01 5 1 10 4.000000e+04 6.250000e+04 1.431826e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.431826e+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 6.593909e-01 6 1 20L 9.000000e+00 9.000000e+00 7.918088e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.918088e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 2.716372e+00 87 1 10 -1.109375e+01 2.605769e-01 2.727313e+00 142 1 15 3.105797e+00 5.434132e-01 2.738304e+00 197 1 20 -2.463349e+01 1.503415e+00 2.750733e+00 252 1 25 -1.421085e-14 1.514085e+00 2.763133e+00 307 1 30 4.864000e+01 1.514085e+00 6.244710e+00 394 1 35 4.864000e+01 1.514085e+00 6.257393e+00 449 1 40 -8.870299e+00 1.514085e+00 6.271495e+00 504 1 45 -1.428571e+00 1.514085e+00 6.286257e+00 559 1 48 -1.428571e+00 1.514085e+00 6.296237e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.296237e+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 2.499546e+00 278 1 20 1.440356e+01 1.278425e+00 2.540261e+00 428 1 30 8.388546e+00 1.278425e+00 2.604091e+00 706 1 40 6.666667e-03 1.278410e+00 2.650946e+00 856 1 50 -5.614035e+00 1.278410e+00 2.723728e+00 1134 1 60 1.426676e+01 1.278410e+00 2.773865e+00 1284 1 64 1.261296e+01 1.278410e+00 2.795037e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.795037e+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 1.184921e+00 278 1 20 1.111084e+01 1.278410e+00 1.235403e+00 428 1 30 2.293779e+01 1.278410e+00 1.316607e+00 706 1 40 1.426676e+01 1.278410e+00 1.393487e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.393487e+00 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.694235e+00 1.060052e+01 7.029717e+00 900 1 20 5.498088e+00 1.456766e+01 7.487256e+00 1720 1 30 2.912197e+01 1.665921e+01 8.968299e+00 3036 1 40 1.608515e+01 1.792397e+01 1.016692e+01 4192 1 50 3.997965e+00 1.830624e+01 1.123753e+01 5020 1 60 1.102045e+01 1.840685e+01 1.242098e+01 5808 1 70 8.045596e+00 1.846781e+01 1.359504e+01 6540 1 80 4.710242e+01 1.851858e+01 1.439074e+01 7088 1 90 3.901806e+01 1.865685e+01 1.622215e+01 8180 1 100 8.003646e+00 1.869095e+01 1.715191e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.715191e+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 4.296917e+00 36 1 10 0.000000e+00 0.000000e+00 4.346034e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.346034e+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 6.870985e-03 407 1 10 2.850000e+02 5.728212e+02 7.026482e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.026482e-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 6.506920e-03 778 1 10 2.825000e+02 3.465177e+02 6.810784e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.810784e-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 6.979942e-03 1149 1 10 2.587500e+02 2.052799e+02 6.555796e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.555796e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 8.618116e-03 1520 1 10 2.875000e+02 4.661908e+02 7.752419e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.752419e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 7.487059e-03 1891 1 10 1.000000e+02 1.129771e+02 6.968594e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.968594e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 7.380962e-03 2262 1 10 1.625000e+02 2.794553e+02 7.538199e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.538199e-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 8.838892e-03 2633 1 10 5.487500e+02 4.077574e+02 8.629203e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.629203e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 9.160995e-03 3004 1 10 6.771875e+02 5.210100e+02 8.517003e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.517003e-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 8.565903e-03 3375 1 10 5.312500e+01 5.938345e+01 7.204199e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.204199e-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 2.216903e+00 235 1 10 1.000000e+01 9.159200e+00 2.713872e+00 310 1 15 1.000000e+01 9.159200e+00 3.281950e+00 385 1 20 1.000000e+01 9.159200e+00 3.815474e+00 460 1 25 1.000000e+01 9.159200e+00 7.105513e+00 695 1 30 4.000000e+00 9.159200e+00 7.621971e+00 770 1 35 1.000000e+01 9.159200e+00 8.129007e+00 845 1 40 1.000000e+01 9.159200e+00 8.695977e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.695977e+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 1.905632e+00 510 1 20 1.000000e+01 6.834387e+00 3.636230e+00 720 1 30 7.000000e+00 6.834387e+00 7.743716e+00 1230 1 40 1.000000e+01 6.823805e+00 9.470656e+00 1440 1 50 3.000000e+00 6.823805e+00 1.369469e+01 1950 1 60 2.000000e+00 6.823805e+00 1.539225e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.539225e+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 1.148989e+01 920 1 20 6.049875e+06 2.075240e+06 1.405180e+01 1340 1 30 5.496647e+05 2.078257e+06 2.391776e+01 2260 1 40 3.985383e+04 2.078257e+06 2.632448e+01 2680 1 50 2.994548e+05 2.078257e+06 3.596646e+01 3600 1 60 3.799457e+06 2.078257e+06 3.822572e+01 4020 1 61 3.549665e+06 2.078257e+06 3.846360e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.846360e+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 2.923878e+01 920 1 20L 2.799668e+06 2.079457e+06 4.842195e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.607775e+01 2260 1 40L 4.299882e+06 2.079457e+06 9.517505e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.517505e+01 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.188534e+02 3.104791e+00 1914 1 200 0.000000e+00 1.191645e+02 3.511083e+00 3840 1 300 7.500000e+01 1.191666e+02 3.939862e+00 5738 1 328 2.500000e+00 1.191667e+02 4.031199e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.031199e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 8.721850e-01 2806 1 200 0.000000e+00 1.191666e+02 1.384542e+00 4749 1 287 5.000000e+00 1.191667e+02 1.733716e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.733716e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 4.211459e-01 1033 1 20 8.000000e+00 2.000000e+01 8.357129e-01 1209 1 30 1.200000e+01 2.000000e+01 9.701049e-01 2304 1 40 3.000000e+01 2.000000e+01 1.061366e+00 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.061366e+00 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2) sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+01] bounds range [2e+01, 2e+02] rhs range [8e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.948878e+03 2.847167e+03 5.289540e-01 35 1 10 7.500000e+02 2.935390e+03 5.930009e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.930009e-01 total solves : 350 best bound : 2.935390e+03 simulation ci : 1.544902e+03 ± 5.533339e+02 numeric issues : 0 ------------------------------------------------------------------- Building and solving inner model for upper bounds: Node: 3 - elapsed time: 0.36 plus 0.71 for vertex selection. Node: 2 - elapsed time: 0.3 plus 0.21 for vertex selection. Node: 1 - elapsed time: 0.38 plus 0.02 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 1.9783029 Bounds: Risk-neutral confidence interval: 1411.99 ± 82.02 Risk-adjusted lower bound: 2935.39 Risk-adjusted upper bound: 2969.68 [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 1.413608e-02 3 1 40 2.000000e+00 2.000000e+00 3.729961e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.729961e-01 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 1.328898e+00 1350 1 20 5.062500e+00 4.110713e+00 1.544968e+00 2700 1 30 4.500000e+00 4.104200e+00 1.776071e+00 4050 1 40 3.812500e+00 4.102669e+00 2.016625e+00 5400 1 50 4.725000e+00 4.095504e+00 2.266817e+00 6750 1 60 4.050000e+00 4.092999e+00 2.523179e+00 8100 1 70 4.606250e+00 4.091524e+00 2.780496e+00 9450 1 80 3.875000e+00 4.089694e+00 3.045484e+00 10800 1 90 3.750000e+00 4.089490e+00 3.302984e+00 12150 1 100 5.125000e+00 4.087894e+00 3.581887e+00 13500 1 110 4.500000e+00 4.087478e+00 4.266931e+00 14850 1 120 3.650000e+00 4.086704e+00 4.566029e+00 16200 1 130 4.406250e+00 4.086063e+00 4.849762e+00 17550 1 140 3.375000e+00 4.085981e+00 5.132669e+00 18900 1 150 3.000000e+00 4.085945e+00 5.428056e+00 20250 1 160 3.812500e+00 4.085838e+00 5.726756e+00 21600 1 170 4.250000e+00 4.085728e+00 6.036006e+00 22950 1 180 3.243750e+00 4.085593e+00 6.340263e+00 24300 1 190 4.306250e+00 4.085487e+00 6.648798e+00 25650 1 200 5.237500e+00 4.085446e+00 6.964669e+00 27000 1 210 4.500000e+00 4.085441e+00 7.280466e+00 28350 1 220 3.612500e+00 4.085405e+00 7.654416e+00 29700 1 230 3.700000e+00 4.085382e+00 7.970372e+00 31050 1 240 3.437500e+00 4.085254e+00 8.280579e+00 32400 1 250 4.100000e+00 4.085115e+00 8.582061e+00 33750 1 260 3.000000e+00 4.084973e+00 8.903595e+00 35100 1 270 4.918750e+00 4.084943e+00 9.225692e+00 36450 1 280 2.756250e+00 4.084920e+00 9.557670e+00 37800 1 290 3.737500e+00 4.084868e+00 9.896868e+00 39150 1 300 5.750000e+00 4.084868e+00 1.024483e+01 40500 1 310 5.156250e+00 4.084858e+00 1.060390e+01 41850 1 320 3.131250e+00 4.084855e+00 1.094041e+01 43200 1 330 4.125000e+00 4.084846e+00 1.128352e+01 44550 1 340 5.875000e+00 4.084820e+00 1.163252e+01 45900 1 350 4.587500e+00 4.084810e+00 1.198176e+01 47250 1 360 5.087500e+00 4.084805e+00 1.234806e+01 48600 1 370 4.393750e+00 4.084802e+00 1.269960e+01 49950 1 380 4.750000e+00 4.084792e+00 1.303145e+01 51300 1 390 4.437500e+00 4.084785e+00 1.335709e+01 52650 1 400 4.181250e+00 4.084785e+00 1.372809e+01 54000 1 410 3.650000e+00 4.084777e+00 1.409578e+01 55350 1 420 3.750000e+00 4.084769e+00 1.446866e+01 56700 1 430 3.725000e+00 4.084762e+00 1.482511e+01 58050 1 440 4.218750e+00 4.084751e+00 1.518863e+01 59400 1 450 5.500000e+00 4.084751e+00 1.574395e+01 60750 1 460 3.637500e+00 4.084747e+00 1.609138e+01 62100 1 470 2.993750e+00 4.084743e+00 1.644221e+01 63450 1 480 5.237500e+00 4.084743e+00 1.681437e+01 64800 1 490 4.212500e+00 4.084743e+00 1.717394e+01 66150 1 500 3.843750e+00 4.084743e+00 1.753620e+01 67500 1 510 3.425000e+00 4.084743e+00 1.788655e+01 68850 1 520 4.293750e+00 4.084743e+00 1.823771e+01 70200 1 530 2.818750e+00 4.084740e+00 1.861727e+01 71550 1 540 4.668750e+00 4.084740e+00 1.897589e+01 72900 1 550 2.750000e+00 4.084740e+00 1.932858e+01 74250 1 560 4.100000e+00 4.084740e+00 1.972577e+01 75600 1 567 3.687500e+00 4.084740e+00 2.000672e+01 76545 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.000672e+01 total solves : 76545 best bound : 4.084740e+00 simulation ci : 4.069411e+00 ± 6.336794e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.643750e+00 5.590935e+00 1.203523e+00 1350 1 20 4.000000e+00 4.894518e+00 2.022702e+00 2700 1 30 3.750000e+00 4.892504e+00 3.119783e+00 4050 1 40 5.643750e+00 4.402612e+00 4.446484e+00 5400 1 50 3.162500e+00 4.337338e+00 5.845860e+00 6750 1 60 3.900000e+00 4.046303e+00 7.435021e+00 8100 1 70 4.275000e+00 4.045130e+00 9.036403e+00 9450 1 80 3.031250e+00 4.044857e+00 1.101533e+01 10800 1 90 4.000000e+00 4.044347e+00 1.325045e+01 12150 1 100 3.812500e+00 4.039658e+00 1.580177e+01 13500 1 ====================================================================================== 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 91 running 1 of 1 signal (10): User defined signal 1 try_pop_lf_back at /source/src/gc-stock.h:187:13 [inlined] gc_sweep_pool_parallel at /source/src/gc-stock.c:1290:40 gc_sweep_pool at /source/src/gc-stock.c:1421:9 [inlined] _jl_gc_collect at /source/src/gc-stock.c:3246:9 ijl_gc_collect at /source/src/gc-stock.c:3552:13 maybe_collect at /source/src/gc-stock.c:357:9 [inlined] jl_gc_small_alloc_inner at /source/src/gc-stock.c:734:5 jl_gc_small_alloc_noinline at /source/src/gc-stock.c:792:12 [inlined] jl_gc_alloc_ at /source/src/gc-stock.c:806:13 jl_alloc_genericmemory_unchecked at /source/src/genericmemory.c:41:30 GenericMemory at ./boot.jl:658:0 [inlined] Array at ./boot.jl:718:0 [inlined] similar at ./array.jl:411:0 [inlined] rehash! at /home/pkgeval/.julia/packages/OrderedCollections/MglBA/src/ordered_dict.jl:153:0 (pc: 135) rehash! at /home/pkgeval/.julia/packages/OrderedCollections/MglBA/src/ordered_dict.jl:126:0 [inlined] iterate at /home/pkgeval/.julia/packages/OrderedCollections/MglBA/src/ordered_dict.jl:455:0 [inlined] iterate at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Utilities/CleverDicts.jl:264:0 [inlined] iterate at ./abstractdict.jl:66:0 [inlined] delete at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:1821:0 (pc: 69) delete at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Bridges/bridge_optimizer.jl:773:0 [inlined] delete at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Utilities/cachingoptimizer.jl:707:0 (pc: 25) unknown function (ip: 0x720c9212d106) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 delete at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/constraints.jl:570:0 (pc: 11) unknown function (ip: 0x720c92100c9d) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 _cut_selection_update at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/bellman_functions.jl:211:0 (pc: 469) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 #_add_cut#163 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/bellman_functions.jl:103:0 (pc: 40) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 _add_cut at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/bellman_functions.jl:87:0 (pc: 2) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 _add_multi_cut at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/bellman_functions.jl:542:0 (pc: 100) _refine_bellman_function_no_lock at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/bellman_functions.jl:471:0 (pc: 44) refine_bellman_function at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/bellman_functions.jl:416:0 (pc: 20) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 backward_pass at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:689:0 (pc: 2258) unknown function (ip: 0x720c7b713b45) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 iteration at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:970:0 (pc: 309) #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:51:0 (pc: 3) disable_sigint at ./c.jl:167:0 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:50:0 (pc: 7) unknown function (ip: 0x720c9bfe124d) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 #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] #newsvendor_example#210 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:67:0 (pc: 13) newsvendor_example at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:35:0 (pc: 5) unknown function (ip: 0x720c7b7a9412) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:0 (pc: 599) util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:0 (pc: 4) unknown function (ip: 0x720c9bfcbb52) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 eval_body at /source/src/interpreter.c:563:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 425) _start at ./client.jl:596:0 (pc: 294) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] true_main at /source/src/jlapi.c:971:29 jl_repl_entrypoint at /source/src/jlapi.c:1138:15 main at /source/cli/loader_exe.c:58:15 unknown function (ip: 0x720cb9ed4249) 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) 110 4.875000e+00 4.039587e+00 1.887453e+01 14850 1 ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== 114 ┌ 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 4.225000e+00Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000720c9f9fc010 Total snapshots: 233. Utilization: 100% ╎233 @Base/client.jl:596 _start() ╎ 233 @Base/client.jl:321 exec_options(opts::Base.JLOptions) ╎ 233 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ 233 @Base/Base.jl:328 (::Base.IncludeInto)(fname::String) ╎ 233 @Base/Base.jl:327 include(mapexpr::Function, mod::Module, _path::St… ╎ 233 @Base/loading.jl:3192 _include(mapexpr::Function, mod::Module, _pa… ╎ ╎ 233 @Base/loading.jl:3132 include_string(mapexpr::typeof(identity), m… ╎ ╎ 233 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ ╎ 233 …vj/test/runtests.jl:11 util_test_directory(dir::String) ╎ ╎ 233 …j/test/runtests.jl:15 util_test_directory(dir::String, exclud… ╎ ╎ 233 @Test/src/Test.jl:2246 macro expansion ╎ ╎ ╎ 233 …j/test/runtests.jl:17 macro expansion ╎ ╎ ╎ 233 @Base/Base.jl:328 (::Base.IncludeInto)(fname::String) ╎ ╎ ╎ 233 @Base/Base.jl:327 include(mapexpr::Function, mod::Module, … ╎ ╎ ╎ 233 @Base/loading.jl:3192 _include(mapexpr::Function, mod::Mo… ╎ ╎ ╎ 233 @Base/loading.jl:3132 include_string(mapexpr::typeof(ide… ╎ ╎ ╎ ╎ 233 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 233 …e_newsvendor.jl:35 kwcall(::@NamedTuple{cut_type::SDD… ╎ ╎ ╎ ╎ 233 …e_newsvendor.jl:67 newsvendor_example(; cut_type::SD… ╎ ╎ ╎ ╎ 233 @SDDP/…orithm.jl:1117 kwcall(::@NamedTuple{log_frequ… ╎ ╎ ╎ ╎ 233 @SDDP/…rithm.jl:1292 train(model::SDDP.PolicyGraph{… ╎ ╎ ╎ ╎ ╎ 233 @SDDP/…chemes.jl:50 master_loop(::SDDP.Serial, mod… ╎ ╎ ╎ ╎ ╎ 233 @Base/c.jl:167 disable_sigint(f::SDDP.var"#master… ╎ ╎ ╎ ╎ ╎ 233 @SDDP/…hemes.jl:51 (::SDDP.var"#master_loop##0#m… ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ithm.jl:966 iteration(model::SDDP.Policy… ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…sses.jl:100 forward_pass(model::SDDP.Po… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ithm.jl:12 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ses.jl:101 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…hm.jl:492 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…hm.jl:518 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 11 @JuMP/…ce.jl:560 optimize!(model::Model) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @JuMP/…ce.jl:610 optimize!(model::Model;… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @MathOptInterface/…:379 optimize!(m::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @MathOptInterface/…:367 optimize!(b::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @HiGHS/…r.jl:2300 optimize!(model::Hi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @Base/c.jl:167 disable_sigint(f::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @HiGHS/…r.jl:2253 _Highs_run_worka… 11╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @HiGHS/…s.jl:328 Highs_run(highs:… ╎ ╎ ╎ ╎ ╎ 128 @SDDP/…ithm.jl:970 iteration(model::SDDP.Policy… ╎ ╎ ╎ ╎ ╎ 78 @SDDP/…ithm.jl:676 backward_pass(model::SDDP.P… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:785 solve_all_children(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ace.jl:754 getindex(graph::SDDP.Polic… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:478 getindex(h::Dict{Int64, SD… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:239 ht_keyindex(h::Dict{Int64… ╎ ╎ ╎ ╎ ╎ ╎ 77 @SDDP/…thm.jl:832 solve_all_children(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 77 @SDDP/…thm.jl:492 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 3 @SDDP/…hm.jl:505 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 3 @SDDP/…hm.jl:300 parameterize(node::SDDP.N… ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…hm.jl:212 set_objective(node::SDDP… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…ce.jl:1391 get_objective_state_co… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:375 zip(::Tuple{Float64}, … ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:222 set_objective(node::SDDP… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…os.jl:419 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…on.jl:86 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…os.jl:264 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:384 macro expan… ╎ ╎ ╎ ╎ ╎ ╎ 71 @SDDP/…hm.jl:518 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 71 @JuMP/…ce.jl:560 optimize!(model::Model) ╎ ╎ ╎ ╎ ╎ ╎ 71 @JuMP/…ce.jl:610 optimize!(model::Model; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 71 @MathOptInterface/…:379 optimize!(m::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 71 @MathOptInterface/…:367 optimize!(b::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 70 @HiGHS/…r.jl:2300 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 70 @Base/c.jl:167 disable_sigint(f::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 70 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#4… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 70 @HiGHS/…r.jl:2253 _Highs_run_workar… 70╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 70 @HiGHS/…s.jl:328 Highs_run(highs::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2307 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2131 _store_solution(mod… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:945 Highs_getSolution(h… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:533 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:199 get_outgoing_state(node::… ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:959 lower_bound(v::VariableR… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1250 get(model::Model, attr… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:536 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…rs.jl:136 get_dual_solution(node::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:310 _has_dual_solution(node:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:865 dual_status(model::Mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:866 dual_status(model::Mod… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:815 get(model::Model, att… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:541 solve_subproblem(model::SD… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:918 (NamedTuple{(:state, :dua… ╎ ╎ ╎ ╎ ╎ 50 @SDDP/…ithm.jl:689 backward_pass(model::SDDP.P… ╎ ╎ ╎ ╎ ╎ ╎ 50 @SDDP/…ons.jl:416 refine_bellman_function(mod… ╎ ╎ ╎ ╎ ╎ ╎ 50 @SDDP/…ons.jl:471 _refine_bellman_function_n… 1╎ ╎ ╎ ╎ ╎ ╎ 50 @SDDP/…ns.jl:542 _add_multi_cut(node::SDDP.… ╎ ╎ ╎ ╎ ╎ ╎ 49 @SDDP/…ns.jl:87 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:97 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:99 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:100 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 4 @SDDP/…ns.jl:101 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @SDDP/…ns.jl:128 _add_cut_constraint_to_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @JuMP/…os.jl:402 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @JuMP/…nt.jl:173 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @JuMP/…ts.jl:1039 add_constraint(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @JuMP/…ts.jl:1016 _moi_add_constrain… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @MathOptInterface/…:551 add_constra… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @MathOptInterface/…:2092 add_const… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1797 add_constraint(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:128 add_item… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:188 setinde… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @OrderedCollections/…:340 setin… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @OrderedCollections/…:313 _seti… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ay.jl:1373 push!(a::Vect… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ay.jl:1376 _push!(a::Vec… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ay.jl:1233 _growend!(a::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Base/…ay.jl:1209 _growend_inte… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Base/…ay.jl:1129 array_new_mem… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Base/…ot.jl:658 Memory{HiGHS._… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @HiGHS/…r.jl:1802 add_constraint(… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @HiGHS/…s.jl:1427 Highs_addRow(h… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:571 add_constra… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:881 add_constr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:839 constrain… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:316 supports… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:365 support… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @MathOptInterface/…:365 support… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @MathOptInterface/…:331 constra… ╎ ╎ ╎ ╎ ╎ ╎ 42 @SDDP/…ns.jl:103 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:158 _cut_selection_update(V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…ns.jl:165 _cut_selection_update(V… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…er.jl:58 getproperty(x::SDDP.Cut… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:172 _cut_selection_update(V… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…er.jl:62 setproperty!(x::SDDP.Sa… 3╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @SDDP/…ns.jl:181 _cut_selection_update(V… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:184 _cut_selection_update(V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @SDDP/…ns.jl:197 _cut_selection_update(V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:110 _add_cut_constraint_to… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:208 AffExpr(::Float64) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:52 _new_ordered_dict(::T… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:23 OrderedColl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:741 Vector{VariableRef… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:719 Vector{VariableRe… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:112 _add_cut_constraint_to… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:113 _add_cut_constraint_to… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @SDDP/…ns.jl:128 _add_cut_constraint_to… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @JuMP/…os.jl:402 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @JuMP/…nt.jl:173 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @JuMP/…ts.jl:1039 add_constraint(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @JuMP/…ts.jl:1016 _moi_add_constrai… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @MathOptInterface/…:551 add_constr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @MathOptInterface/…:2092 add_cons… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @HiGHS/…r.jl:1802 add_constraint… 3╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @HiGHS/…s.jl:1427 Highs_addRow(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @SDDP/…ns.jl:211 _cut_selection_update(V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @JuMP/…ts.jl:570 delete(model::Model, c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @MathOptInterface/…:707 delete(m::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @MathOptInterface/…:773 delete(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @HiGHS/…r.jl:1819 delete(model::HiGH… 6╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @HiGHS/…s.jl:2106 Highs_deleteRowsB… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 20 @HiGHS/…r.jl:1821 delete(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 20 @Base/…ct.jl:66 iterate(::Base.Valu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 20 @MathOptInterface/…:264 iterate(c:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 20 @OrderedCollections/…:455 iterate… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 20 @OrderedCollections/…:126 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:0 rehash!… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:1226 + ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @OrderedCollections/…:142 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 3 @Base/…ay.jl:627 zeros(::Type{I… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 2 @Base/…ay.jl:631 zeros(::Type{I… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 2 @Base/…ot.jl:731 Vector{Int32}(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 2 @Base/…ot.jl:718 Vector{Int32}(… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 2 @Base/…ot.jl:658 Memory{Int32}(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ay.jl:632 zeros(::Type{I… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ay.jl:364 fill!(A::Vecto… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ay.jl:369 _fill!(A::Vect… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ge.jl:928 iterate(r::Bas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:156 rehas… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:1040 getindex(A::V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 @OrderedCollections/…:157 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 7 @Base/…ng.jl:40 hash(data::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 7 @Base/…ng.jl:47 hash(data::HiGH… 7╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 7 @Base/…ls.jl:879 objectid(x::Hi… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:162 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:164 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…on.jl:508 ==(x::Int32, y… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…on.jl:658 ==(x::Int64, y… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @OrderedCollections/…:174 rehas… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:1040 getindex(A::V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @OrderedCollections/…:181 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 @Base/…ay.jl:1048 setindex!(A::… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 2 @Base/…ay.jl:1053 _setindex!(A:… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:1040 getindex(A::V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @HiGHS/…r.jl:1822 delete(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…rs.jl:425 >(x::Int32, y::Int… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/int.jl:83 <(x::Int32, y::Int… ╎ ╎ ╎ ╎ ╎ 94 @SDDP/…ithm.jl:980 iteration(model::SDDP.Policy… ╎ ╎ ╎ ╎ ╎ 94 @SDDP/…ithm.jl:881 kwcall(::@NamedTuple{risk_m… ╎ ╎ ╎ ╎ ╎ ╎ 94 @SDDP/…thm.jl:881 kwcall(::@NamedTuple{risk_m… ╎ ╎ ╎ ╎ ╎ ╎ 94 @SDDP/…thm.jl:921 calculate_bound(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ 94 @SDDP/…hm.jl:492 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:504 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:175 set_incoming_state(node:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1220 fix(variable::Variable… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1226 fix(variable::Variabl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1239 _moi_fix(moi_backend… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:644 set(m::MathOp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:615 _replace_con… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:67 getindex(map… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:182 getindex(d… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:106 getindex(… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:97 MathOptIn… ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…hm.jl:505 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…hm.jl:300 parameterize(node::SDDP.… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…hm.jl:212 set_objective(node::SDD… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…ce.jl:1391 get_objective_state_c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:429 iterate(z::Base.Itera… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:439 _zip_iterate_all(is:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:449 _zip_iterate_some(i… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:541 tail(x::Tuple{NTup… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:375 zip(::Tuple{Float64},… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…hm.jl:222 set_objective(node::SDD… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…os.jl:419 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…on.jl:86 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…os.jl:264 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:384 macro expa… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:125 operate!!… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:663 operate_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…cs.jl:233 operate!(::typeo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:570 add_to_expressi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:297 merge!(::typeo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ct.jl:290 mergewith!(com… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @OrderedCollections/…:334 setin… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @OrderedCollections/…:270 ht_ke… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @OrderedCollections/…:6 hashind… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ng.jl:40 hash(data::Vari… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @JuMP/…es.jl:561 hash(v::Variab… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Base/…ls.jl:879 objectid(x::Mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ve.jl:345 set_objective(model::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ve.jl:280 set_objective_functio… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ve.jl:268 set_objective_functi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1271 set(m::Model, attr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:772 set(m::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:1326 set(b::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1118 set(model::HiGH… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:1619 Highs_changeCo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:231 set_objective(node::SDD… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…er.jl:62 setproperty!(x::SDDP.No… ╎ ╎ ╎ ╎ ╎ ╎ 84 @SDDP/…hm.jl:518 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 84 @JuMP/…ce.jl:560 optimize!(model::Model) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 84 @JuMP/…ce.jl:610 optimize!(model::Model;… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 84 @MathOptInterface/…:379 optimize!(m::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 84 @MathOptInterface/…:367 optimize!(b::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 84 @HiGHS/…r.jl:2300 optimize!(model::Hi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 84 @Base/c.jl:167 disable_sigint(f::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 84 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 84 @HiGHS/…r.jl:2253 _Highs_run_worka… 83╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 84 @HiGHS/…s.jl:328 Highs_run(highs:… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:523 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:841 primal_status(model::Mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:842 primal_status(model::Mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:818 get(model::Model, attr… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:920 get(model::Mat… ╎ ╎ ╎ ╎ ╎ ╎ 3 @SDDP/…hm.jl:533 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:185 get_outgoing_state(node:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:703 iterate(t::Dict{Symbol,… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:701 _iterate_dict(t::Dict{… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:402 getindex(A::Memory{SD… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:391 checkbounds(A::Memor… ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…hm.jl:191 get_outgoing_state(node:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…es.jl:2091 value(v::VariableRef) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…es.jl:2092 value(v::VariableRef;… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…ce.jl:1240 get(model::Model, at… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1200 _moi_get_result(::M… 4.039520e+00 2.017385e+01 15390 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.017385e+01 total solves : 15390 best bound : 4.039520e+00 simulation ci : 4.024289e+00 ± 1.378342e-01 numeric issues : 0 ------------------------------------------------------------------- ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 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:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] start_task at /source/src/task.c:1275:19 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000073f4c5b83b20 Total snapshots: 465. Utilization: 0% ╎465 @Base/task.jl:1170 wait_forever() 464╎ 465 @Base/task.jl:1248 wait() [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- [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 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:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] start_task at /source/src/task.c:1275:19 unknown function (ip: (nil)) at (unknown file) Allocations: 24879581 (Pool: 24878787; Big: 794); GC: 17 [91] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/sldp_example_one.jl:49 .plt at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs19calledOptimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/gen/libhighs.jl:328:0 [inlined] _Highs_run_workaround_issue_316 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2253:0 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 [inlined] disable_sigint at ./c.jl:167:0 (pc: 4) optimize! at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 (pc: 249) optimize! at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Bridges/bridge_optimizer.jl:367:0 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/MathOptInterface.jl:122:0 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Utilities/cachingoptimizer.jl:370:0 (pc: 118) unknown function (ip: 0x720c9bfdc202) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:610:0 (pc: 345) optimize! at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:560:0 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:518:0 (pc: 53) solve_subproblem at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:492:0 (pc: 7) unknown function (ip: 0x720c7bc6126c) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 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: 926) unknown function (ip: 0x720c9bfe772b) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 iteration at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:966:0 (pc: 29) #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:51:0 (pc: 3) disable_sigint at ./c.jl:167:0 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:50:0 (pc: 7) unknown function (ip: 0x720c9bfe124d) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 #train#91 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1292:0 (pc: 456) train at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1117:0 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/sldp_example_one.jl:44:0 (pc: 16) unknown function (ip: 0x720c7b7d4a7f) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:0 (pc: 599) util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:0 (pc: 4) unknown function (ip: 0x720c9bfcbb52) at (unknown file) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 eval_body at /source/src/interpreter.c:563:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 425) _start at ./client.jl:596:0 (pc: 294) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4167:23 [inlined] ijl_apply_generic at /source/src/gf.c:4393:12 jl_apply at /source/src/julia.h:2388:12 [inlined] true_main at /source/src/jlapi.c:971:29 jl_repl_entrypoint at /source/src/jlapi.c:1138:15 main at /source/cli/loader_exe.c:58:15 unknown function (ip: 0x720cb9ed4249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 726536162 (Pool: 726532765; Big: 3397); GC: 128 PkgEval terminated after 2723.02s: test duration exceeded the time limit