Package evaluation of SDDP on Julia 1.13.0-DEV.1277 (fa66b63fc3*) started at 2025-10-08T05:23:01.400 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.52s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.13.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.19.1 [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 v1.2.1 [cd3eb016] + HTTP v1.10.19 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.29.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.45.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.6 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 6.34s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 5635.6 ms ✓ TestEnv 1 dependency successfully precompiled in 8 seconds. 27 already precompiled. Precompiling package dependencies... Precompilation completed after 315.42s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_Tg76oa/Project.toml` [87dc4568] HiGHS v1.19.0 [b6b21f68] Ipopt v1.11.0 ⌅ [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.1 [f4570300] SDDP v1.13.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Tg76oa/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.1 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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: 0.12 plus 16.98 for vertex selection. Node: 2 - elapsed time: 0.04 plus 0.02 for vertex selection. Node: 1 - elapsed time: 0.04 plus 0.02 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 17.224452070999998 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.11 plus 0.07 for vertex selection. Node: 18 - elapsed time: 0.22 plus 0.07 for vertex selection. Node: 17 - elapsed time: 0.22 plus 0.07 for vertex selection. Node: 16 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 15 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 14 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 13 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 12 - elapsed time: 0.2 plus 0.07 for vertex selection. Node: 11 - elapsed time: 0.2 plus 0.07 for vertex selection. Node: 10 - elapsed time: 0.2 plus 0.07 for vertex selection. Node: 9 - elapsed time: 0.2 plus 0.07 for vertex selection. Node: 8 - elapsed time: 0.2 plus 0.07 for vertex selection. Node: 7 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 6 - elapsed time: 0.18 plus 0.06 for vertex selection. Node: 5 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 4 - elapsed time: 0.19 plus 0.07 for vertex selection. Node: 3 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 2 - elapsed time: 0.2 plus 0.07 for vertex selection. Node: 1 - elapsed time: 0.2 plus 0.06 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/39RYL/src/algorithm.jl:401 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 5.148792e-02 4 1 3 0.000000e+00 0.000000e+00 5.636570e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.636570e-01 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 2.191496e-02 9 1 20 7.500000e+04 1.075000e+05 6.103690e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.103690e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.029029e+00 12 1 10 2.500000e+00 3.361111e+01 1.055419e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.055419e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 1.334596e-02 12 1 10 2.500000e+00 3.361111e+01 3.651094e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.651094e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.022696e-02 46 1 50 0.000000e+00 1.191663e+02 5.320401e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.320401e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.100914e-03 46 1 50 0.000000e+00 1.191663e+02 4.347200e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.347200e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 3.484077e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.091295e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.122160e+00 412 1 7S -6.493167e+01 -6.677772e+01 8.234868e+00 721 1 8S -5.772300e+01 -6.677661e+01 9.416792e+00 824 1 17S -6.068889e+01 -6.677644e+01 1.543455e+01 1751 1 27S -6.068889e+01 -6.677644e+01 2.128655e+01 2781 1 37S -7.668889e+01 -6.677644e+01 2.685120e+01 3811 1 47S -5.768889e+01 -6.677644e+01 3.292358e+01 4841 1 55S -4.868889e+01 -6.677644e+01 3.808603e+01 5665 1 65S -4.168889e+01 -6.677644e+01 4.427808e+01 6695 1 75S -8.368889e+01 -6.677644e+01 5.036907e+01 7725 1 85S -6.068889e+01 -6.677644e+01 5.646748e+01 8755 1 95S -6.468889e+01 -6.677644e+01 6.247488e+01 9785 1 100 -8.368889e+01 -6.677644e+01 6.490749e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.490749e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 1.619101e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.619101e-03 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.000000e+00 6.000000e+00 2.872017e+02 2 3 20 5.000000e+00 6.000000e+00 2.902474e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.902474e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 1.043935e+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/39RYL/src/algorithm.jl:1181 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 2.901599e-01 48 1 20 9.000000e+00 6.000000e+00 5.538850e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.538850e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 5.671978e-03 4 1 50 0.000000e+00 0.000000e+00 2.231472e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.231472e-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/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:751 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:751 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.191138e+00 5 1 20 0.000000e+00 -1.000000e+01 7.837847e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.837847e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 2.398109e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.185916e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.034305e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.964304e-02 172 1 25 -5.320000e+00 -2.396000e+01 6.229997e-02 224 1 30 -5.320000e+00 -2.396000e+01 7.367206e-02 264 1 35 -2.396000e+01 -2.396000e+01 8.543515e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.805608e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.805608e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 434ms / 19.8% 11.8MiB / 58.7% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 50.4ms 58.8% 1.26ms 5.21MiB 75.0% 133KiB solve_subproblem 160 27.5ms 32.1% 172μs 711KiB 10.0% 4.44KiB get_dual_solution 160 1.31ms 1.5% 8.19μs 185KiB 2.6% 1.16KiB prepare_backward_pass 160 62.5μs 0.1% 391ns 0.00B 0.0% 0.00B forward_pass 40 25.1ms 29.2% 627μs 1.55MiB 22.4% 39.7KiB solve_subproblem 120 23.0ms 26.9% 192μs 1.38MiB 19.9% 11.8KiB get_dual_solution 120 45.1μs 0.1% 376ns 13.1KiB 0.2% 112B sample_scenario 40 388μs 0.5% 9.70μs 22.3KiB 0.3% 572B calculate_bound 40 10.3ms 12.0% 258μs 179KiB 2.5% 4.48KiB get_dual_solution 40 16.9μs 0.0% 423ns 4.38KiB 0.1% 112B get_dual_solution 36 12.3μs 0.0% 342ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 7.626796e-02 52 1 10 -2.396000e+01 -2.396000e+01 8.538389e-02 92 1 15 -2.396000e+01 -2.396000e+01 9.607196e-02 132 1 20 -4.260000e+01 -2.396000e+01 1.080360e-01 172 1 25 -5.320000e+00 -2.396000e+01 1.235900e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.384749e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.559939e-01 304 1 40 -5.320000e+00 -2.396000e+01 3.802330e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.802330e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 388ms / 91.7% 13.6MiB / 93.6% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 313ms 88.2% 7.84ms 11.0MiB 86.4% 281KiB solve_subproblem 160 29.0ms 8.2% 181μs 712KiB 5.5% 4.45KiB get_dual_solution 160 1.41ms 0.4% 8.80μs 185KiB 1.4% 1.16KiB prepare_backward_pass 160 73.2μs 0.0% 458ns 0.00B 0.0% 0.00B forward_pass 40 26.7ms 7.5% 668μs 1.55MiB 12.2% 39.7KiB solve_subproblem 120 24.3ms 6.8% 203μs 1.38MiB 10.9% 11.8KiB get_dual_solution 120 50.6μs 0.0% 422ns 13.1KiB 0.1% 112B sample_scenario 40 458μs 0.1% 11.4μs 22.5KiB 0.2% 575B calculate_bound 40 15.2ms 4.3% 381μs 180KiB 1.4% 4.51KiB get_dual_solution 40 19.2μs 0.0% 480ns 4.38KiB 0.0% 112B get_dual_solution 36 29.2μs 0.0% 812ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 1.782320e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.802750e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.812758e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.821680e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.830630e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.839380e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.848419e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.857820e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.867049e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.876378e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.885810e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.895568e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.905570e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.915359e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.925299e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.935279e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.945400e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.957510e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.972539e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.983399e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.005520e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.024069e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.035360e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.050018e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.060630e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.071528e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.084079e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.103410e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.117350e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.129018e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.140498e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.152059e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.165620e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.186110e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.200079e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.213519e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.225950e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.239728e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.260139e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.273040e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.273040e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 2.793200e-01 51 1 24 2.178733e+02 2.251256e+02 1.330949e+00 3972 1 30 2.138334e+03 2.336430e+02 2.758416e+00 7674 1 38 8.025312e+02 2.352957e+02 4.058207e+00 10194 1 46 1.737622e+02 2.358930e+02 5.097632e+00 12054 1 57 6.154394e+01 2.360915e+02 6.117762e+00 13671 1 63 1.493193e+03 2.362190e+02 7.698987e+00 15909 1 71 1.519535e+02 2.362929e+02 8.705383e+00 17205 1 75 6.724519e+02 2.363362e+02 9.794866e+00 18477 1 99 4.184450e+02 2.364095e+02 1.480827e+01 23469 1 100 4.969839e+02 2.364135e+02 1.533424e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.533424e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 8.324640e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.146695e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.477748e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.811740e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.159288e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.520897e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.865579e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.239713e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.611993e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.993400e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.993400e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 4.297869e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.221989e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.316511e-01 2650 1 40 -1.596461e+00 -1.471258e+00 8.323190e-01 3200 1 50 -1.002277e+00 -1.471216e+00 1.040315e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.144774e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.361902e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.468807e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.682230e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.801486e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.919576e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.039192e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.153366e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.283134e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.422459e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.570262e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.822157e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.961568e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.987744e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.987744e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 2.616191e-02 54 1 20 3.336455e+05 3.402383e+05 4.112887e-02 104 1 30 3.993519e+05 3.403155e+05 5.554390e-02 158 1 40 3.337559e+05 3.403155e+05 6.910300e-02 208 1 48 3.337559e+05 3.403155e+05 8.222294e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.222294e-02 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 3.854299e-02 92 1 20 4.506600e+05 4.054833e+05 1.316500e-01 172 1 30 3.959476e+05 4.067125e+05 1.543529e-01 264 1 40 4.497721e+05 4.067125e+05 1.762118e-01 344 1 47 3.959476e+05 4.067125e+05 1.927049e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.927049e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 6.296405e+00 14 1 40 2.308500e+03 4.074139e+03 7.145362e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.145362e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 2.291091e+00 8 1 6L 4.000000e+04 6.250000e+04 3.350103e+00 60 1 15L 9.500000e+04 6.250000e+04 4.359561e+00 132 1 20L 6.000000e+04 6.250000e+04 5.244580e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.244580e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.818895e-02 8 1 16 4.000000e+04 6.250000e+04 1.058568e+00 140 1 20 4.000000e+04 6.250000e+04 1.309009e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.309009e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 7.367897e-02 5 1 2 6.000000e+04 6.250000e+04 1.879724e+00 10 1 10 4.000000e+04 6.250000e+04 2.308196e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.308196e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 2.984080e-01 6 1 20L 9.000000e+00 9.000000e+00 4.089808e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.089808e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 9.989939e-01 87 1 10 -1.109375e+01 2.605769e-01 1.011224e+00 142 1 15 3.105797e+00 5.434132e-01 1.024546e+00 197 1 20 -2.463349e+01 1.503415e+00 1.038151e+00 252 1 25 -1.421085e-14 1.514085e+00 1.052016e+00 307 1 30 4.864000e+01 1.514085e+00 3.182589e+00 394 1 35 4.864000e+01 1.514085e+00 3.197501e+00 449 1 40 -8.870299e+00 1.514085e+00 3.214526e+00 504 1 45 -1.428571e+00 1.514085e+00 3.231318e+00 559 1 48 -1.428571e+00 1.514085e+00 3.243484e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.243484e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 8.261011e-01 278 1 20 1.440356e+01 1.278425e+00 8.640039e-01 428 1 30 8.388546e+00 1.278425e+00 9.308109e-01 706 1 40 6.666667e-03 1.278410e+00 9.716630e-01 856 1 50 -5.614035e+00 1.278410e+00 1.043915e+00 1134 1 60 1.426676e+01 1.278410e+00 1.101217e+00 1284 1 64 1.261296e+01 1.278410e+00 1.121859e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.121859e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 6.491709e-02 278 1 20 1.111084e+01 1.278410e+00 1.141162e-01 428 1 30 2.293779e+01 1.278410e+00 2.017910e-01 706 1 40 1.426676e+01 1.278410e+00 2.895310e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.895310e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 5.805344e+00 900 1 20 6.374753e+00 1.361934e+01 6.130681e+00 1720 1 30 2.848217e+01 1.624016e+01 6.920480e+00 3036 1 40 1.973944e+01 1.776547e+01 7.943525e+00 4192 1 50 4.000000e+00 1.889360e+01 8.724891e+00 5020 1 60 1.142478e+01 1.907862e+01 9.667022e+00 5808 1 70 9.386421e+00 1.961295e+01 1.060059e+01 6540 1 80 5.667851e+01 1.890911e+01 1.131493e+01 7088 1 90 3.740597e+01 1.993139e+01 1.283006e+01 8180 1 100 9.867183e+00 2.001688e+01 1.351436e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.351436e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.216344e+00 36 1 10 0.000000e+00 0.000000e+00 3.266854e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.266854e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 7.701159e-03 407 1 10 2.850000e+02 5.728212e+02 7.567716e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.567716e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 8.040905e-03 778 1 10 2.825000e+02 3.465177e+02 7.744002e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.744002e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 8.059025e-03 1149 1 10 2.587500e+02 2.052799e+02 7.528710e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.528710e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 8.582115e-03 1520 1 10 2.875000e+02 4.661908e+02 8.359504e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.359504e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 8.111954e-03 1891 1 10 1.000000e+02 1.129771e+02 7.170391e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.170391e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 8.663893e-03 2262 1 10 1.625000e+02 2.794553e+02 8.109593e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.109593e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 8.877039e-03 2633 1 10 5.487500e+02 4.077574e+02 8.648205e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.648205e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 9.196043e-03 3004 1 10 6.771875e+02 5.210100e+02 8.802009e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.802009e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.197069e-03 3375 1 10 5.312500e+01 5.938345e+01 7.639313e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.639313e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.381189e+00 235 1 10 1.000000e+01 9.159200e+00 1.856233e+00 310 1 15 1.000000e+01 9.159200e+00 2.390745e+00 385 1 20 1.000000e+01 9.159200e+00 2.892725e+00 460 1 25 1.000000e+01 9.159200e+00 5.779130e+00 695 1 30 4.000000e+00 9.159200e+00 6.259188e+00 770 1 35 1.000000e+01 9.159200e+00 6.750726e+00 845 1 40 1.000000e+01 9.159200e+00 7.286184e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.286184e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.EqualTo{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 1.412761e+00 510 1 20 1.000000e+01 6.834387e+00 3.115712e+00 720 1 30 7.000000e+00 6.834387e+00 7.240680e+00 1230 1 40 1.000000e+01 6.823805e+00 8.888686e+00 1440 1 50 3.000000e+00 6.823805e+00 1.308517e+01 1950 1 60 2.000000e+00 6.823805e+00 1.479061e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.479061e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.405339e+01 920 1 20 6.049875e+06 2.075240e+06 1.689544e+01 1340 1 30 5.496647e+05 2.078257e+06 3.012147e+01 2260 1 40 3.985383e+04 2.078257e+06 3.297419e+01 2680 1 50 2.994548e+05 2.078257e+06 4.623250e+01 3600 1 60 3.799457e+06 2.078257e+06 4.913247e+01 4020 1 61 3.549665e+06 2.078257e+06 4.940950e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.940950e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.484253e+01 920 1 20L 2.799668e+06 2.079457e+06 5.703480e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.883855e+01 2260 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 148 running 1 of 1 signal (10): User defined signal 1 _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/zq9bo/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/zq9bo/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x732e67f1f112) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 unknown function (ip: 0x732e67f94c3c) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1334 [inlined] #226 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:886 [inlined] collect_to_with_first! at ./array.jl:864 [inlined] _collect at ./array.jl:858 collect_similar at ./array.jl:763 [inlined] map at ./abstractarray.jl:3392 [inlined] #_simulate#224 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:999 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x732e67f26891) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #train#91 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] generation_expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/generation_expansion.jl:87 unknown function (ip: 0x732e5b9c2592) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2954 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3014 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10 unknown function (ip: 0x732e67efbb82) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2954 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3014 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_68568.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 exec_options at ./client.jl:310 _start at ./client.jl:577 jfptr__start_39417.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x732fdde35249) 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 ============================================================== 40L ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 4.299882e+06Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000732fc3dfc010 Total snapshots: 115. Utilization: 100% ╎104 @Base/client.jl:577 _start() ╎ 104 @Base/client.jl:310 exec_options(opts::Base.JLOptions) ╎ 104 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ 104 @Base/Base.jl:311 (::Base.IncludeInto)(fname::String) ╎ 104 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _path::S… ╎ 104 @Base/loading.jl:3014 _include(mapexpr::Function, mod::Module, _p… ╎ ╎ 104 @Base/loading.jl:2954 include_string(mapexpr::typeof(identity), … ╎ ╎ 104 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 104 …L/test/runtests.jl:10 util_test_directory(dir::String) ╎ ╎ 104 …L/test/runtests.jl:14 util_test_directory(dir::String, exclu… ╎ ╎ 104 @Test/src/Test.jl:1952 macro expansion ╎ ╎ ╎ 104 …/test/runtests.jl:16 macro expansion ╎ ╎ ╎ 104 @Base/Base.jl:311 IncludeInto ╎ ╎ ╎ 104 @Base/Base.jl:310 include(mapexpr::Function, mod::Module,… ╎ ╎ ╎ 104 @Base/loading.jl:3014 _include(mapexpr::Function, mod::M… ╎ ╎ ╎ 104 @Base/loading.jl:2954 include_string(mapexpr::typeof(id… ╎ ╎ ╎ ╎ 104 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 104 …on_expansion.jl:87 generation_expansion(duality_hand… ╎ ╎ ╎ ╎ 104 @SDDP/…orithm.jl:1116 train ╎ ╎ ╎ ╎ 104 @SDDP/…rithm.jl:1291 train(model::SDDP.PolicyGraph{… ╎ ╎ ╎ ╎ 104 @SDDP/…chemes.jl:49 master_loop(::SDDP.Serial, mod… ╎ ╎ ╎ ╎ ╎ 104 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…hemes.jl:50 (::SDDP.var"#master_loop##0#m… ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…ithm.jl:999 iteration(model::SDDP.Policy… ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…ders.jl:92 convergence_test(graph::SDDP… ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…les.jl:412 convergence_test(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…les.jl:325 (::SDDP.var"#simulator#203… ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…hm.jl:1540 simulate ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…hm.jl:1540 kwcall(::@NamedTuple{sam… ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…hm.jl:1551 #simulate#108 ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…es.jl:62 _simulate ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…es.jl:70 #_simulate#224 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @Base/…ay.jl:3392 map ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @Base/…ay.jl:763 collect_similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @Base/…ay.jl:858 _collect(c::UnitRan… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @Base/…ay.jl:864 collect_to_with_fi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @Base/…ay.jl:886 collect_to! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @Base/…or.jl:48 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…es.jl:71 #226 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…hm.jl:1334 _simulate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 104 @SDDP/…hm.jl:1382 _simulate(mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 104 @SDDP/…hm.jl:491 kwcall(::@Nam… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 104 @SDDP/…hm.jl:517 solve_subprob… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 104 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 104 @JuMP/…ce.jl:609 optimize!(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 104 @MathOptInterface/…:379 optimi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 104 @MathOptInterface/…:367 optimi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 104 @HiGHS/…r.jl:2236 optimize!(mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 104 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 104 @HiGHS/…r.jl:2236 #47 103╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 104 @HiGHS/…s.jl:328 Highs_run 2.079457e+06 1.111556e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.111556e+02 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1217 wait_forever at ./task.jl:1139 jfptr_wait_forever_55536.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] start_task at /source/src/task.c:1281 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/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007995bca77850 Total snapshots: 416. Utilization: 0% ╎416 @Base/task.jl:1139 wait_forever() 415╎ 416 @Base/task.jl:1217 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1217 wait_forever at ./task.jl:1139 jfptr_wait_forever_55536.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] start_task at /source/src/task.c:1281 unknown function (ip: (nil)) at (unknown file) Allocations: 26631790 (Pool: 26631079; Big: 711); GC: 31 [148] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/hydro_valley.jl:306 _ZN4llvm11Instruction20replaceSuccessorWithEPNS_10BasicBlockES2_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) unknown function (ip: 0x7ffc8a26dd1f) at (unknown file) unknown function (ip: (nil)) at (unknown file) Allocations: 571583851 (Pool: 571580495; Big: 3356); GC: 97 PkgEval terminated after 2723.11s: test duration exceeded the time limit