Package evaluation to test SDDP on Julia 1.14.0-DEV.2086 (d19eac062f*) started at 2026-04-30T19:07:27.788 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.04s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed SDDP ─ v1.13.2 Updating `~/.julia/environments/v1.14/Project.toml` [f4570300] + SDDP v1.13.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [d1d4a3ce] + BitFlags v0.1.9 [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 v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.3.3 [cd3eb016] + HTTP v1.11.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.5.1 [4076af6c] + JuMP v1.30.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.51.0 [739be429] + MbedTLS v1.1.10 [d8a4904e] + MutableArithmetics v1.7.1 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.6.1 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.4 [aea7be01] + PrecompileTools v1.3.3 [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 v2.7.2 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.8.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [14a3606d] + MozillaCACerts_jll v2026.3.19 [4536629a] + OpenBLAS_jll v0.3.32+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 6.46s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 8.8 s ✓ MathOptIIS 29.0 s ✓ SDDP 43.6 s ✓ HiGHS 3 dependencies successfully precompiled in 84 seconds. 207 already precompiled. Precompilation completed after 112.33s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_6zrYgy/Project.toml` ⌅ [87dc4568] HiGHS v1.22.2 [b6b21f68] Ipopt v1.14.3 [682c06a0] JSON v1.5.1 [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_6zrYgy/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [f0e56b4a] ConcurrentUtilities v2.5.1 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.4 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 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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: 0.45 plus 12.44 for vertex selection. Node: 2 - elapsed time: 0.33 plus 0.3 for vertex selection. Node: 1 - elapsed time: 0.33 plus 0.31 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 14.143980071000001 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/R1Ovj/src/Inner.jl:1049 Node: 19 - elapsed time: 0.41 plus 0.36 for vertex selection. Node: 18 - elapsed time: 0.54 plus 0.37 for vertex selection. Node: 17 - elapsed time: 0.58 plus 0.37 for vertex selection. Node: 16 - elapsed time: 0.95 plus 0.37 for vertex selection. Node: 15 - elapsed time: 0.57 plus 0.37 for vertex selection. Node: 14 - elapsed time: 0.52 plus 0.36 for vertex selection. Node: 13 - elapsed time: 0.52 plus 0.35 for vertex selection. Node: 12 - elapsed time: 0.5 plus 0.35 for vertex selection. Node: 11 - elapsed time: 0.5 plus 0.35 for vertex selection. Node: 10 - elapsed time: 0.51 plus 0.35 for vertex selection. Node: 9 - elapsed time: 0.51 plus 0.35 for vertex selection. Node: 8 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 7 - elapsed time: 0.52 plus 0.35 for vertex selection. Node: 6 - elapsed time: 0.51 plus 0.35 for vertex selection. Node: 5 - elapsed time: 0.52 plus 0.35 for vertex selection. Node: 4 - elapsed time: 0.5 plus 0.36 for vertex selection. Node: 3 - elapsed time: 0.53 plus 0.35 for vertex selection. Node: 2 - elapsed time: 0.5 plus 0.35 for vertex selection. Node: 1 - elapsed time: 0.49 plus 0.34 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:402 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 7.409151e-01 4 1 3 0.000000e+00 0.000000e+00 1.285703e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.285703e+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 5.839720e-01 9 1 20 7.500000e+04 1.075000e+05 1.472400e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.472400e+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 2.593971e+00 12 1 10 2.500000e+00 3.361111e+01 2.624432e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.624432e+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 6.291461e-01 12 1 10 2.500000e+00 3.361111e+01 6.631639e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.631639e-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 1.266694e-02 46 1 50 0.000000e+00 1.191663e+02 7.938440e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.938440e-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 1.195502e-02 46 1 50 0.000000e+00 1.191663e+02 7.431951e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.431951e-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 4.051901e+00 103 1 3S -5.785826e+01 -6.755367e+01 5.898445e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.002542e+00 412 1 5S -7.577792e+01 -6.680771e+01 8.205154e+00 515 1 6S -6.064080e+01 -6.678327e+01 9.402079e+00 618 1 13S -3.268889e+01 -6.677644e+01 1.494845e+01 1339 1 23S -3.268889e+01 -6.677644e+01 2.027687e+01 2369 1 33S -8.368889e+01 -6.677644e+01 2.595331e+01 3399 1 43S -8.368889e+01 -6.677644e+01 3.156885e+01 4429 1 53S -4.868889e+01 -6.677644e+01 3.721889e+01 5459 1 63S -8.068889e+01 -6.677644e+01 4.283114e+01 6489 1 73S -7.168889e+01 -6.677644e+01 4.856995e+01 7519 1 83S -7.168889e+01 -6.677644e+01 5.463708e+01 8549 1 93S -6.068889e+01 -6.677644e+01 6.063778e+01 9579 1 100 -8.368889e+01 -6.677644e+01 6.409951e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.409951e+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 1.143813e-02 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.143813e-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 4.806333e+02 2 3 20 7.000000e+00 6.000000e+00 4.868203e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.868203e+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 6.415980e-01 48 1 20 9.000000e+00 6.000000e+00 1.196861e+00 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.196861e+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 4.960330e-01 4 1 50 0.000000e+00 0.000000e+00 8.682940e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 8.682940e-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 9.686549e+00 5 1 20 0.000000e+00 -1.000000e+01 1.054865e+01 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.054865e+01 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 5.744309e-01 52 1 10 -2.396000e+01 -2.396000e+01 5.855310e-01 92 1 15 -4.260000e+01 -2.396000e+01 5.971148e-01 132 1 20 -2.396000e+01 -2.396000e+01 6.113000e-01 172 1 25 -5.320000e+00 -2.396000e+01 6.284709e-01 224 1 30 -5.320000e+00 -2.396000e+01 6.438050e-01 264 1 35 -2.396000e+01 -2.396000e+01 6.605220e-01 304 1 40 -2.396000e+01 -2.396000e+01 6.789229e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.789229e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 1.13s / 56.9% 10.7MiB / 56.3% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 343ms 53.3% 8.58ms 648KiB 10.5% 16.2KiB solve_subproblem 120 339ms 52.6% 2.82ms 475KiB 7.7% 3.96KiB get_dual_solution 120 53.0μs 0.0% 442ns 13.1KiB 0.2% 112B sample_scenario 40 808μs 0.1% 20.2μs 22.3KiB 0.4% 572B backward_pass 40 287ms 44.6% 7.18ms 5.23MiB 86.5% 134KiB solve_subproblem 160 33.6ms 5.2% 210μs 721KiB 11.6% 4.51KiB get_dual_solution 160 1.94ms 0.3% 12.1μs 185KiB 3.0% 1.16KiB prepare_backward_pass 160 213μs 0.0% 1.33μs 15.0KiB 0.2% 96.0B calculate_bound 40 13.6ms 2.1% 339μs 182KiB 2.9% 4.54KiB get_dual_solution 40 21.6μs 0.0% 540ns 4.38KiB 0.1% 112B get_dual_solution 36 16.2μs 0.0% 451ns 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 5.994120e-01 52 1 10 -2.396000e+01 -2.396000e+01 6.113999e-01 92 1 15 -2.396000e+01 -2.396000e+01 6.261001e-01 132 1 20 -4.260000e+01 -2.396000e+01 6.429369e-01 172 1 25 -5.320000e+00 -2.396000e+01 6.648450e-01 224 1 30 -2.396000e+01 -2.396000e+01 6.874211e-01 264 1 35 -2.396000e+01 -2.396000e+01 7.114129e-01 304 1 40 -5.320000e+00 -2.396000e+01 7.399430e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.399430e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 751ms / 95.4% 12.4MiB / 93.8% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 597ms 83.4% 14.9ms 648KiB 5.4% 16.2KiB solve_subproblem 120 563ms 78.6% 4.69ms 475KiB 4.0% 3.96KiB get_dual_solution 120 70.8μs 0.0% 590ns 13.1KiB 0.1% 112B sample_scenario 40 792μs 0.1% 19.8μs 22.5KiB 0.2% 575B backward_pass 40 102ms 14.2% 2.55ms 10.9MiB 93.0% 278KiB solve_subproblem 160 37.5ms 5.2% 235μs 722KiB 6.0% 4.51KiB get_dual_solution 160 2.19ms 0.3% 13.7μs 185KiB 1.5% 1.16KiB prepare_backward_pass 160 264μs 0.0% 1.65μs 15.0KiB 0.1% 96.0B calculate_bound 40 17.2ms 2.4% 429μs 183KiB 1.5% 4.58KiB get_dual_solution 40 24.0μs 0.0% 601ns 4.38KiB 0.0% 112B get_dual_solution 36 16.6μs 0.0% 461ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 4.988039e-01 5 1 2 -2.500000e+00 -2.000000e+00 5.033329e-01 14 1 3 -1.000000e+00 -2.000000e+00 5.045509e-01 19 1 4 -1.000000e+00 -2.000000e+00 5.392439e-01 24 1 5 -1.000000e+00 -2.000000e+00 5.405679e-01 29 1 6 -3.000000e+00 -2.000000e+00 5.449080e-01 34 1 7 -1.000000e+00 -2.000000e+00 5.471690e-01 39 1 8 -1.000000e+00 -2.000000e+00 5.494208e-01 44 1 9 -3.000000e+00 -2.000000e+00 5.508509e-01 49 1 10 -1.000000e+00 -2.000000e+00 5.531840e-01 54 1 11 -3.000000e+00 -2.000000e+00 5.544579e-01 59 1 12 -3.000000e+00 -2.000000e+00 5.566459e-01 64 1 13 -1.000000e+00 -2.000000e+00 5.581250e-01 69 1 14 -1.000000e+00 -2.000000e+00 5.603299e-01 74 1 15 -3.000000e+00 -2.000000e+00 5.625789e-01 79 1 16 -1.000000e+00 -2.000000e+00 5.646210e-01 84 1 17 -3.000000e+00 -2.000000e+00 5.658441e-01 89 1 18 -3.000000e+00 -2.000000e+00 5.673480e-01 94 1 19 -1.000000e+00 -2.000000e+00 5.698209e-01 99 1 20 -3.000000e+00 -2.000000e+00 5.712750e-01 104 1 21 -1.000000e+00 -2.000000e+00 5.749869e-01 113 1 22 -1.000000e+00 -2.000000e+00 5.766869e-01 118 1 23 -3.000000e+00 -2.000000e+00 5.781190e-01 123 1 24 -3.000000e+00 -2.000000e+00 5.795560e-01 128 1 25 -1.000000e+00 -2.000000e+00 5.823600e-01 133 1 26 -3.000000e+00 -2.000000e+00 5.841758e-01 138 1 27 -3.000000e+00 -2.000000e+00 5.859549e-01 143 1 28 -1.000000e+00 -2.000000e+00 5.885251e-01 148 1 29 -3.000000e+00 -2.000000e+00 5.911250e-01 153 1 30 -3.000000e+00 -2.000000e+00 5.936599e-01 158 1 31 -1.000000e+00 -2.000000e+00 5.954649e-01 163 1 32 -1.000000e+00 -2.000000e+00 5.982618e-01 168 1 33 -1.000000e+00 -2.000000e+00 6.011610e-01 173 1 34 -3.000000e+00 -2.000000e+00 6.027820e-01 178 1 35 -1.000000e+00 -2.000000e+00 6.044159e-01 183 1 36 -3.000000e+00 -2.000000e+00 6.060898e-01 188 1 37 -1.000000e+00 -2.000000e+00 6.083360e-01 193 1 38 -1.000000e+00 -2.000000e+00 6.104329e-01 198 1 39 -1.000000e+00 -2.000000e+00 6.133599e-01 203 1 40 -1.000000e+00 -2.000000e+00 6.162229e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.162229e-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 7.137780e-01 51 1 18 1.071219e+02 2.211700e+02 1.739295e+00 3414 1 30 2.138334e+03 2.336430e+02 3.903189e+00 7674 1 36 5.572874e+02 2.348274e+02 5.151751e+00 9420 1 42 8.695951e+02 2.357672e+02 7.325994e+00 11586 1 52 3.990085e+02 2.360402e+02 8.569265e+00 13056 1 61 1.400364e+02 2.361624e+02 9.659865e+00 14283 1 83 1.294954e+02 2.363718e+02 1.475853e+01 20001 1 100 4.969839e+02 2.364135e+02 1.943206e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.943206e+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 1.897344e+00 1400 1 20 -4.764789e+00 -4.394789e+00 2.354407e+00 2800 1 30 -4.672487e+00 -4.377000e+00 2.679313e+00 4200 1 40 -4.483495e+00 -4.370632e+00 3.007799e+00 5600 1 50 -4.167321e+00 -4.364999e+00 3.358258e+00 7000 1 60 -4.362455e+00 -4.358864e+00 3.685855e+00 8400 1 70 -4.849916e+00 -4.355337e+00 4.047576e+00 9800 1 80 -4.861568e+00 -4.353006e+00 4.419573e+00 11200 1 90 -4.268264e+00 -4.350407e+00 4.791751e+00 12600 1 100 -4.539897e+00 -4.348641e+00 5.180064e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.180064e+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 1.324980e+00 1050 1 20 -1.529197e+00 -1.471817e+00 1.422701e+00 1600 1 30 -1.410768e+00 -1.471408e+00 1.610539e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.711946e+00 3200 1 50 -1.002277e+00 -1.471216e+00 1.933742e+00 4250 1 60 -1.085156e+00 -1.471164e+00 2.044754e+00 4800 1 70 -1.391746e+00 -1.471164e+00 2.286110e+00 5850 1 80 -1.448703e+00 -1.471132e+00 2.406184e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.627723e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.750358e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.875873e+00 8550 1 120 -1.591292e+00 -1.471075e+00 3.020537e+00 9100 1 130 -1.271481e+00 -1.471075e+00 3.156013e+00 9650 1 140 -1.249746e+00 -1.471075e+00 3.301651e+00 10200 1 150 -1.536222e+00 -1.471075e+00 3.438859e+00 10750 1 160 -1.565422e+00 -1.471075e+00 3.582569e+00 11300 1 170 -1.631076e+00 -1.471075e+00 3.732767e+00 11850 1 180 -1.494909e+00 -1.471075e+00 3.882889e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.911338e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.911338e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 3.892920e-01 54 1 20 3.336455e+05 3.402383e+05 4.074650e-01 104 1 30 3.993519e+05 3.403155e+05 4.240942e-01 158 1 40 3.337559e+05 3.403155e+05 4.399791e-01 208 1 48 3.337559e+05 3.403155e+05 4.559960e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.559960e-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 5.606019e-01 92 1 20 4.506600e+05 4.054833e+05 5.844071e-01 172 1 30 3.959476e+05 4.067125e+05 6.109259e-01 264 1 40 4.497721e+05 4.067125e+05 6.400449e-01 344 1 47 3.959476e+05 4.067125e+05 6.623890e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.623890e-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 1.128097e+01 14 1 40 2.308500e+03 4.074139e+03 1.246184e+01 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.246184e+01 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 4.011578e+00 8 1 5L 4.000000e+04 6.250000e+04 5.155288e+00 52 1 11L 4.000000e+04 6.250000e+04 6.227940e+00 100 1 17L 4.000000e+04 6.250000e+04 7.343224e+00 148 1 20L 6.000000e+04 6.250000e+04 8.002714e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.002714e+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 3.528199e-01 8 1 15 5.500000e+04 6.250000e+04 1.408024e+00 132 1 20 4.000000e+04 6.250000e+04 1.787048e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.787048e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.405243e+00 5 1 10 4.000000e+04 6.250000e+04 2.157488e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.157488e+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 6.870799e-01 6 1 20L 9.000000e+00 9.000000e+00 8.429818e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.429818e-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 3.108429e+00 87 1 10 -1.109375e+01 2.605769e-01 3.127407e+00 142 1 15 3.105797e+00 5.434132e-01 3.145569e+00 197 1 20 -2.463349e+01 1.503415e+00 3.164852e+00 252 1 25 -1.421085e-14 1.514085e+00 3.183548e+00 307 1 30 4.864000e+01 1.514085e+00 6.046597e+00 394 1 35 4.864000e+01 1.514085e+00 6.064344e+00 449 1 40 -8.870299e+00 1.514085e+00 6.084450e+00 504 1 45 -1.428571e+00 1.514085e+00 6.106947e+00 559 1 48 -1.428571e+00 1.514085e+00 6.120990e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.120990e+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 2.674160e+00 278 1 20 1.440356e+01 1.278425e+00 2.723458e+00 428 1 30 8.388546e+00 1.278425e+00 2.816177e+00 706 1 40 6.666667e-03 1.278410e+00 2.866856e+00 856 1 50 -5.614035e+00 1.278410e+00 2.953646e+00 1134 1 60 1.426676e+01 1.278410e+00 3.013708e+00 1284 1 64 1.261296e+01 1.278410e+00 3.040710e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.040710e+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 1.235789e+00 278 1 20 1.111084e+01 1.278410e+00 1.303096e+00 428 1 30 2.293779e+01 1.278410e+00 1.416881e+00 706 1 40 1.426676e+01 1.278410e+00 1.533117e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.533117e+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 8.399826e+00 900 1 20 5.498088e+00 1.456766e+01 9.701671e+00 1720 1 30 2.912197e+01 1.665921e+01 1.126377e+01 3036 1 40 1.608515e+01 1.792397e+01 1.313913e+01 4192 1 50 3.997965e+00 1.830624e+01 1.467848e+01 5020 1 60 1.102045e+01 1.840685e+01 1.648392e+01 5808 1 70 8.045596e+00 1.846781e+01 1.812775e+01 6540 1 80 4.710242e+01 1.851858e+01 1.932187e+01 7088 1 90 3.901806e+01 1.865685e+01 2.199607e+01 8180 1 100 8.003646e+00 1.869095e+01 2.321147e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.321147e+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 5.908499e+00 36 1 10 0.000000e+00 0.000000e+00 5.966420e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.966420e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 8.288145e-03 407 1 10 2.850000e+02 5.728212e+02 7.985210e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.985210e-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 1.146197e-02 778 1 10 2.825000e+02 3.465177e+02 8.856106e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.856106e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 8.419037e-03 1149 1 10 2.587500e+02 2.052799e+02 8.276200e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.276200e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 9.233952e-03 1520 1 10 2.875000e+02 4.661908e+02 9.152603e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.152603e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 8.887053e-03 1891 1 10 1.000000e+02 1.129771e+02 8.499503e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.499503e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 9.994030e-03 2262 1 10 1.625000e+02 2.794553e+02 9.241605e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.241605e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 9.416103e-03 2633 1 10 5.487500e+02 4.077574e+02 9.077120e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.077120e-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 9.784937e-03 3004 1 10 6.771875e+02 5.210100e+02 9.134483e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.134483e-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 8.915901e-03 3375 1 10 5.312500e+01 5.938345e+01 8.082891e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.082891e-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 2.782305e+00 235 1 10 1.000000e+01 9.159200e+00 3.274265e+00 310 1 15 1.000000e+01 9.159200e+00 3.821317e+00 385 1 20 1.000000e+01 9.159200e+00 4.365311e+00 460 1 25 1.000000e+01 9.159200e+00 7.258706e+00 695 1 30 4.000000e+00 9.159200e+00 7.769690e+00 770 1 35 1.000000e+01 9.159200e+00 8.279320e+00 845 1 40 1.000000e+01 9.159200e+00 8.857314e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.857314e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 2.085347e+00 510 1 20 1.000000e+01 6.834387e+00 3.880358e+00 720 1 30 7.000000e+00 6.834387e+00 7.945718e+00 1230 1 40 1.000000e+01 6.823805e+00 9.677230e+00 1440 1 50 3.000000e+00 6.823805e+00 1.367152e+01 1950 1 60 2.000000e+00 6.823805e+00 1.539032e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.539032e+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 1.269157e+01 920 1 20 6.049875e+06 2.075240e+06 1.554092e+01 1340 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 87 running 1 of 1 signal (10): User defined signal 1 _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:328:9 [inlined] _Highs_run_workaround_issue_316 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2253:3 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:3 [inlined] disable_sigint at ./c.jl:167:3 optimize! at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:79 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/EMtxt/src/Bridges/bridge_optimizer.jl:367:6 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/EMtxt/src/Utilities/cachingoptimizer.jl:379:86 unknown function (ip: 0x7fb5ee948a42) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:610:115 optimize! at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:560:12 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:518:41 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:492:33 unknown function (ip: 0x7fb5ee9ae8bc) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1383:129 _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1335:113 [inlined] #227 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:72:14 [inlined] iterate at ./generator.jl:48:23 [inlined] collect_to! at ./array.jl:914:11 [inlined] collect_to_with_first! at ./array.jl:869:11 [inlined] _collect at ./array.jl:863:96 collect_similar at ./array.jl:768:6 [inlined] map at ./abstractarray.jl:3390:4 [inlined] #_simulate#225 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:71:18 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:63:4 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1552:13 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:111 simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:3 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:326:15 convergence_test at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:413:64 _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 convergence_test at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/headers.jl:93:12 iteration at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1000:238 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:51:4 disable_sigint at ./c.jl:167:3 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:50:20 unknown function (ip: 0x7fb5ee94da9d) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 #train#91 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1292:369 train at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1117:419 [inlined] generation_expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/generation_expansion.jl:88:76 unknown function (ip: 0x7fb5ee39462f) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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:693:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 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:517:3 include_string at ./loading.jl:3113:145 _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 _include at ./loading.jl:3173:45 include at ./Base.jl:327:3 IncludeInto at ./Base.jl:328:4 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:27 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:41 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:329 util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:3 unknown function (ip: 0x7fb5ee935f22) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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:693:13 eval_body at /source/src/interpreter.c:550:21 eval_body at /source/src/interpreter.c:558:21 eval_body at /source/src/interpreter.c:558:21 eval_body at /source/src/interpreter.c:558:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 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:517:3 include_string at ./loading.jl:3113:145 _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 _include at ./loading.jl:3173:45 include at ./Base.jl:327:3 IncludeInto at ./Base.jl:328:4 jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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:693:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 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:517:3 exec_options at ./client.jl:318:410 _start at ./client.jl:593:36 jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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: 0x7fb62d96c249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== 30 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457:34 wait at ./task.jl:1246:50 wait_forever at ./task.jl:1168:5 jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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 5.496647e+05Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007fb6131fc010 Total snapshots: 48. Utilization: 100% ╎42 @Base/client.jl:593 _start() ╎ 42 @Base/client.jl:318 exec_options(opts::Base.JLOptions) ╎ 42 @Base/boot.jl:517 eval(m::Module, e::Any) ╎ 42 @Base/Base.jl:328 (::Base.IncludeInto)(fname::String) ╎ 42 @Base/Base.jl:327 include(mapexpr::Function, mod::Module, _path::Str… ╎ 42 @Base/loading.jl:3173 _include(mapexpr::Function, mod::Module, _pat… ╎ ╎ 42 @Base/loading.jl:3113 include_string(mapexpr::typeof(identity), mo… ╎ ╎ 42 @Base/boot.jl:517 eval(m::Module, e::Any) ╎ ╎ 42 …vj/test/runtests.jl:11 util_test_directory(dir::String) ╎ ╎ 42 …vj/test/runtests.jl:15 util_test_directory(dir::String, exclud… ╎ ╎ 42 @Test/src/Test.jl:2246 get_testset() ╎ ╎ ╎ 42 …j/test/runtests.jl:17 macro expansion ╎ ╎ ╎ 42 @Base/Base.jl:328 IncludeInto ╎ ╎ ╎ 42 @Base/Base.jl:327 include(mapexpr::Function, mod::Module, _… ╎ ╎ ╎ 42 @Base/loading.jl:3173 _include(mapexpr::Function, mod::Mod… ╎ ╎ ╎ 42 @Base/loading.jl:3113 include_string(mapexpr::typeof(iden… ╎ ╎ ╎ ╎ 42 @Base/boot.jl:517 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 42 …ion_expansion.jl:88 generation_expansion(duality_handl… ╎ ╎ ╎ ╎ 42 @SDDP/…orithm.jl:1117 get(A::Vector{String}, i::Int64,… ╎ ╎ ╎ ╎ 42 @SDDP/…orithm.jl:1292 train(model::SDDP.PolicyGraph{I… ╎ ╎ ╎ ╎ 42 @SDDP/…chemes.jl:50 master_loop(::SDDP.Serial, model… ╎ ╎ ╎ ╎ ╎ 42 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ 42 @SDDP/…chemes.jl:51 (::SDDP.var"#master_loop##0#ma… ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ithm.jl:966 iteration(model::SDDP.PolicyGr… ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…sses.jl:100 forward_pass(model::SDDP.Poli… ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ithm.jl:12 pop!(to::TimerOutputs.TimerOu… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…sses.jl:101 pop!(a::Vector{TimerOutputs… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…thm.jl:492 kwcall(::@NamedTuple{dualit… ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…thm.jl:518 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 11 @JuMP/…ce.jl:560 getproperty(x::SDDP.Node{I… ╎ ╎ ╎ ╎ ╎ ╎ 11 @JuMP/…ce.jl:610 optimize!(model::Model; i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @MathOptInterface/…:379 optimize!(m::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @MathOptInterface/…:367 iterate(A::Vecto… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @HiGHS/…r.jl:2300 optimize!(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @Base/c.jl:167 disable_sigint(f::HiGHS… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#48… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @HiGHS/…r.jl:2253 _Highs_run_workaro… 11╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 @HiGHS/…s.jl:328 !=(x::Int32, y::In… ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…ithm.jl:1000 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…aders.jl:93 convergence_test(graph::SDDP.… ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…ules.jl:413 convergence_test(model::SDDP… ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…ules.jl:326 (::SDDP.var"#simulator#203"… ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…thm.jl:1541 vect(::Symbol, ::Symbol) ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…hm.jl:1541 kwcall(::@NamedTuple{sampl… ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…hm.jl:1552 #simulate#108 ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…es.jl:63 _simulate ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…es.jl:71 #_simulate#225 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @Base/…ay.jl:3390 map ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @Base/…ay.jl:768 collect_similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @Base/…ay.jl:863 _collect(c::UnitRange… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @Base/…ay.jl:869 collect_to_with_firs… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @Base/…ay.jl:914 setindex!(A::Vector… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @Base/…or.jl:48 _setindex!(A::Vecto… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…es.jl:72 #227 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…hm.jl:1335 _simulate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…hm.jl:1383 _simulate(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 31 @SDDP/…hm.jl:492 kwcall(::@Named… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 31 @SDDP/…hm.jl:518 solve_subproble… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 31 @JuMP/…ce.jl:560 getproperty(x::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 31 @JuMP/…ce.jl:610 optimize!(model… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 31 @MathOptInterface/…:379 optimize… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 31 @MathOptInterface/…:367 iterate(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 31 @HiGHS/…r.jl:2300 optimize!(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 31 @Base/c.jl:167 disable_sigint(f:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 31 @HiGHS/…r.jl:2300 (::HiGHS.var"#… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 31 @HiGHS/…r.jl:2253 _Highs_run_wor… 30╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +11 31 @HiGHS/…s.jl:328 !=(x::Int32, y:… 2.078257e+06 2.698947e+01 2260 1 ┌ 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 0x00007ac055a083d0 Total snapshots: 328. Utilization: 0% ╎328 @Base/task.jl:1168 wait_forever() 327╎ 328 @Base/task.jl:1246 wait() 40 3.985383e+04 2.078257e+06 4.075474e+01 2680 1 [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 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457:34 wait at ./task.jl:1246:50 wait_forever at ./task.jl:1168:5 jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [inlined] start_task at /source/src/task.c:1275:19 unknown function (ip: (nil)) at (unknown file) Allocations: 19808964 (Pool: 19808275; Big: 689); GC: 15 [87] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/generation_expansion.jl:93 _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:328:9 [inlined] _Highs_run_workaround_issue_316 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2253:3 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:3 [inlined] disable_sigint at ./c.jl:167:3 optimize! at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:79 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/EMtxt/src/Bridges/bridge_optimizer.jl:367:6 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/EMtxt/src/Utilities/cachingoptimizer.jl:379:86 unknown function (ip: 0x7fb5ee948a42) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:610:115 optimize! at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:560:12 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:518:41 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:492:33 unknown function (ip: 0x7fb5ee9ae8bc) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1383:129 _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1335:113 [inlined] #227 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:72:14 [inlined] iterate at ./generator.jl:48:23 [inlined] collect_to! at ./array.jl:914:11 [inlined] collect_to_with_first! at ./array.jl:869:11 [inlined] _collect at ./array.jl:863:96 collect_similar at ./array.jl:768:6 [inlined] map at ./abstractarray.jl:3390:4 [inlined] #_simulate#225 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:71:18 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:63:4 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1552:13 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:111 simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:3 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:326:15 convergence_test at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:413:64 _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 convergence_test at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/headers.jl:93:12 iteration at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1000:238 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:51:4 disable_sigint at ./c.jl:167:3 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:50:20 unknown function (ip: 0x7fb5ee94da9d) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 #train#91 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1292:369 train at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1117:419 [inlined] generation_expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/generation_expansion.jl:88:76 unknown function (ip: 0x7fb5ee39462f) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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:693:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 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:517:3 include_string at ./loading.jl:3113:145 _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 _include at ./loading.jl:3173:45 include at ./Base.jl:327:3 IncludeInto at ./Base.jl:328:4 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:27 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:41 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:329 util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:3 unknown function (ip: 0x7fb5ee935f22) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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:693:13 eval_body at /source/src/interpreter.c:550:21 eval_body at /source/src/interpreter.c:558:21 eval_body at /source/src/interpreter.c:558:21 eval_body at /source/src/interpreter.c:558:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 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:517:3 include_string at ./loading.jl:3113:145 _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 _include at ./loading.jl:3173:45 include at ./Base.jl:327:3 IncludeInto at ./Base.jl:328:4 jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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:693:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 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:517:3 exec_options at ./client.jl:318:410 _start at ./client.jl:593:36 jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [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: 0x7fb62d96c249) 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: 517384944 (Pool: 517381883; Big: 3061); GC: 102 PkgEval terminated after 2726.31s: test duration exceeded the time limit