Package evaluation of SDDP on Julia 1.13.0-DEV.1022 (6a783956c1*) started at 2025-08-21T18:32:13.219 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.13s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed SDDP ─ v1.13.0 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 v4.18.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.19.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [cd3eb016] + HTTP v1.10.17 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.28.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.43.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [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 v2025.8.12 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 5.66s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 81.32s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_Eezvgk/Project.toml` [87dc4568] HiGHS v1.19.0 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.19 [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_Eezvgk/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.30.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.0 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.13 plus 3.72 for vertex selection. Node: 2 - elapsed time: 0.04 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.04 plus 0.01 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 3.9657770930000003 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.12 plus 0.06 for vertex selection. Node: 18 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 17 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 16 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 15 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 14 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 13 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 12 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 11 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 10 - elapsed time: 0.32 plus 0.07 for vertex selection. Node: 9 - elapsed time: 0.22 plus 0.06 for vertex selection. Node: 8 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 7 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 6 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 5 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 4 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 3 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 2 - elapsed time: 0.2 plus 0.06 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 5.926585e-02 4 1 3 0.000000e+00 0.000000e+00 6.022189e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.022189e-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 2.774215e-02 9 1 20 7.500000e+04 1.075000e+05 6.740100e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.740100e-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 1.102245e+00 12 1 10 2.500000e+00 3.361111e+01 1.128117e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.128117e+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 1.568103e-02 12 1 10 2.500000e+00 3.361111e+01 4.002023e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.002023e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.552002e-03 46 1 50 0.000000e+00 1.191663e+02 5.024900e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.024900e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.200008e-02 46 1 50 0.000000e+00 1.191663e+02 5.592110e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.592110e-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 3.946191e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.729791e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.820967e+00 412 1 6S -6.064080e+01 -6.678327e+01 9.021670e+00 618 1 15S -4.168889e+01 -6.677644e+01 1.490568e+01 1545 1 25S -4.168889e+01 -6.677644e+01 2.086827e+01 2575 1 33S -8.368889e+01 -6.677644e+01 2.591356e+01 3399 1 43S -8.368889e+01 -6.677644e+01 3.209529e+01 4429 1 53S -4.868889e+01 -6.677644e+01 3.818232e+01 5459 1 63S -8.068889e+01 -6.677644e+01 4.425305e+01 6489 1 73S -7.168889e+01 -6.677644e+01 5.043157e+01 7519 1 83S -7.168889e+01 -6.677644e+01 5.698101e+01 8549 1 91S -6.068889e+01 -6.677644e+01 6.229046e+01 9373 1 100 -8.368889e+01 -6.677644e+01 6.717664e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.717664e+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 1.212835e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.212835e-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 From worker 2: Precompiling packages... From worker 3: Precompiling packages... From worker 5: Precompiling packages... From worker 4: Precompiling packages... From worker 3: SDDP Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: SDDP Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 4: SDDP Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 2: 31915.4 ms ✓ SDDP From worker 2: 1 dependency successfully precompiled in 39 seconds. 70 already precompiled. From worker 4: 31801.1 ms ✓ SDDP From worker 4: 1 dependency successfully precompiled in 39 seconds. 70 already precompiled. From worker 3: 32333.3 ms ✓ SDDP From worker 3: 1 dependency successfully precompiled in 39 seconds. 70 already precompiled. From worker 5: 33003.0 ms ✓ SDDP From worker 5: 1 dependency successfully precompiled in 40 seconds. 70 already precompiled. ------------------------------------------------------------------- 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 3.103149e+02 2 3 20 5.000000e+00 6.000000e+00 3.153741e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.153741e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.800000e+00 ± 1.079172e+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 2.697439e-01 48 1 parallel_schemes.jl: Error During Test at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:13 Got exception outside of a @test LoadError: On worker 2: The index MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.GreaterThan{Float64}}(157) is invalid. Note that an index becomes invalid after it has been deleted. Stacktrace: [1] trap_error @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:203 [3] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::Nothing, log_every_seconds::Float64, log_every_iteration::Bool, run_numerical_stability_report::Bool, stopping_rules::Vector{SDDP.IterationLimit}, risk_measure::SDDP.Expectation, root_node_risk_measure::SDDP.Expectation, sampling_scheme::SDDP.InSampleMonteCarlo, cut_type::SDDP.CutType, cycle_discretization_delta::Float64, refine_at_similar_nodes::Bool, cut_deletion_minimum::Int64, backward_sampling_scheme::SDDP.CompleteSampler, dashboard::Bool, parallel_scheme::SDDP.Asynchronous, forward_pass::SDDP.DefaultForwardPass, forward_pass_resampling_probability::Nothing, add_to_existing_cuts::Bool, duality_handler::SDDP.ContinuousConicDuality{Nothing}, forward_pass_callback::SDDP.var"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1306 [2] train @ ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] [3] test_async_solve() @ Main ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:176 [4] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [6] IncludeInto @ ./Base.jl:310 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [9] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/39RYL/test/runtests.jl:14 [10] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [12] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [17] _start() @ Base ./client.jl:563 in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 caused by: On worker 2: The index MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.GreaterThan{Float64}}(157) is invalid. Note that an index becomes invalid after it has been deleted. Stacktrace: [1] trap_error @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:203 [3] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:465 [2] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [3] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [4] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [5] wait @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:586 [inlined] [6] _broadcast_getindex_evalf @ ./broadcast.jl:701 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:674 [inlined] [8] _getindex @ ./broadcast.jl:622 [inlined] [9] getindex @ ./broadcast.jl:618 [inlined] [10] macro expansion @ ./broadcast.jl:997 [inlined] [11] macro expansion @ ./simdloop.jl:77 [inlined] [12] copyto! @ ./broadcast.jl:996 [inlined] [13] copyto! @ ./broadcast.jl:949 [inlined] [14] copy @ ./broadcast.jl:921 [inlined] [15] materialize @ ./broadcast.jl:896 [inlined] [16] master_loop(async::SDDP.Asynchronous, model::SDDP.PolicyGraph{Int64}, options::SDDP.Options{Int64}) @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:265 [17] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::Nothing, log_every_seconds::Float64, log_every_iteration::Bool, run_numerical_stability_report::Bool, stopping_rules::Vector{SDDP.IterationLimit}, risk_measure::SDDP.Expectation, root_node_risk_measure::SDDP.Expectation, sampling_scheme::SDDP.InSampleMonteCarlo, cut_type::SDDP.CutType, cycle_discretization_delta::Float64, refine_at_similar_nodes::Bool, cut_deletion_minimum::Int64, backward_sampling_scheme::SDDP.CompleteSampler, dashboard::Bool, parallel_scheme::SDDP.Asynchronous, forward_pass::SDDP.DefaultForwardPass, forward_pass_resampling_probability::Nothing, add_to_existing_cuts::Bool, duality_handler::SDDP.ContinuousConicDuality{Nothing}, forward_pass_callback::SDDP.var"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 [18] train @ ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] [19] test_async_solve() @ Main ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:176 [20] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [22] IncludeInto @ ./Base.jl:310 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [25] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/39RYL/test/runtests.jl:14 [26] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [28] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [30] top-level scope @ none:6 [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [33] _start() @ Base ./client.jl:563 [ 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 5.987883e-03 4 1 50 0.000000e+00 0.000000e+00 2.570550e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.570550e-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 Precompiling packages... 13068.7 ms ✓ RecipesPipeline 104800.9 ms ✓ Plots 25373.9 ms ✓ Plots → UnitfulExt 3 dependencies successfully precompiled in 145 seconds. 175 already precompiled. Precompiling packages... 2137.4 ms ✓ ColorVectorSpace → SpecialFunctionsExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. From worker 4: Precompiling packages... From worker 5: Precompiling packages... From worker 3: Precompiling packages... From worker 2: Precompiling packages... From worker 5: Plots Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 3: Plots Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: Plots Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 4: 125045.0 ms ✓ Plots From worker 3: 125095.9 ms ✓ Plots From worker 3: UnitfulExt Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/nmz2a_eJM3J.ji.pidfile) From worker 2: 126253.9 ms ✓ Plots From worker 2: UnitfulExt Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/nmz2a_eJM3J.ji.pidfile) From worker 5: 130128.0 ms ✓ Plots From worker 5: UnitfulExt Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/nmz2a_eJM3J.ji.pidfile) From worker 4: 22822.2 ms ✓ Plots → UnitfulExt From worker 4: 2 dependencies successfully precompiled in 157 seconds. 176 already precompiled. From worker 3: 22981.4 ms ✓ Plots → UnitfulExt From worker 3: 2 dependencies successfully precompiled in 159 seconds. 176 already precompiled. From worker 5: 22409.6 ms ✓ Plots → UnitfulExt From worker 5: 2 dependencies successfully precompiled in 162 seconds. 176 already precompiled. From worker 2: 28227.8 ms ✓ Plots → UnitfulExt From worker 2: 2 dependencies successfully precompiled in 166 seconds. 176 already precompiled. From worker 4: Precompiling packages... From worker 3: Precompiling packages... From worker 3: SpecialFunctionsExt Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/SpecialFunctionsExt/MgA5y_eJM3J.ji.pidfile) From worker 5: Precompiling packages... From worker 5: SpecialFunctionsExt Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/SpecialFunctionsExt/MgA5y_eJM3J.ji.pidfile) From worker 4: 6911.4 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 4: 1 dependency successfully precompiled in 7 seconds. 19 already precompiled. From worker 3: 3793.8 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 3: 1 dependency successfully precompiled in 4 seconds. 19 already precompiled. From worker 5: 826.5 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 5: 1 dependency successfully precompiled in 1 seconds. 19 already precompiled. 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:745 [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:1930 [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:745 [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:1930 [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 7.180595e+00 5 1 20 0.000000e+00 -1.000000e+01 7.859545e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.859545e+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 2.522802e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.377581e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.302597e-02 132 1 20 -2.396000e+01 -2.396000e+01 5.296493e-02 172 1 25 -5.320000e+00 -2.396000e+01 6.613302e-02 224 1 30 -5.320000e+00 -2.396000e+01 7.783484e-02 264 1 35 -2.396000e+01 -2.396000e+01 9.070587e-02 304 1 40 -2.396000e+01 -2.396000e+01 1.048260e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.048260e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 434ms / 20.1% 12.6MiB / 59.5% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 51.4ms 58.8% 1.29ms 5.63MiB 75.4% 144KiB solve_subproblem 160 26.7ms 30.5% 167μs 698KiB 9.1% 4.36KiB get_dual_solution 160 1.46ms 1.7% 9.12μs 180KiB 2.4% 1.12KiB prepare_backward_pass 160 63.4μs 0.1% 396ns 0.00B 0.0% 0.00B forward_pass 40 25.9ms 29.6% 647μs 1.65MiB 22.1% 42.3KiB solve_subproblem 120 23.7ms 27.2% 198μs 1.48MiB 19.8% 12.6KiB get_dual_solution 120 43.9μs 0.1% 366ns 13.1KiB 0.2% 112B sample_scenario 40 443μs 0.5% 11.1μs 24.2KiB 0.3% 620B calculate_bound 40 10.1ms 11.5% 252μs 183KiB 2.4% 4.56KiB get_dual_solution 40 17.6μs 0.0% 441ns 4.38KiB 0.1% 112B get_dual_solution 36 15.7μs 0.0% 437ns 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 6.337094e-02 52 1 10 -2.396000e+01 -2.396000e+01 7.435799e-02 92 1 15 -2.396000e+01 -2.396000e+01 8.587790e-02 132 1 20 -4.260000e+01 -2.396000e+01 9.999084e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.171210e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.333449e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.515908e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.715989e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.715989e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 181ms / 86.7% 14.6MiB / 94.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 117ms 74.6% 2.92ms 11.9MiB 86.6% 305KiB solve_subproblem 160 29.9ms 19.1% 187μs 700KiB 5.0% 4.37KiB get_dual_solution 160 1.40ms 0.9% 8.74μs 180KiB 1.3% 1.12KiB prepare_backward_pass 160 84.5μs 0.1% 528ns 0.00B 0.0% 0.00B forward_pass 40 27.4ms 17.5% 684μs 1.65MiB 12.0% 42.3KiB solve_subproblem 120 24.7ms 15.8% 206μs 1.48MiB 10.8% 12.6KiB get_dual_solution 120 46.0μs 0.0% 384ns 13.1KiB 0.1% 112B sample_scenario 40 550μs 0.4% 13.7μs 24.3KiB 0.2% 623B calculate_bound 40 12.5ms 7.9% 311μs 184KiB 1.3% 4.61KiB get_dual_solution 40 18.7μs 0.0% 468ns 4.38KiB 0.0% 112B get_dual_solution 36 13.6μs 0.0% 379ns 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 1.849859e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.878190e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.889210e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.907210e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.924889e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.936810e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.951630e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.967909e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.976988e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.992950e-01 54 1 11 -3.000000e+00 -2.000000e+00 2.001779e-01 59 1 12 -3.000000e+00 -2.000000e+00 2.010419e-01 64 1 13 -1.000000e+00 -2.000000e+00 2.019808e-01 69 1 14 -1.000000e+00 -2.000000e+00 2.029159e-01 74 1 15 -3.000000e+00 -2.000000e+00 2.038929e-01 79 1 16 -1.000000e+00 -2.000000e+00 2.049429e-01 84 1 17 -3.000000e+00 -2.000000e+00 2.060061e-01 89 1 18 -3.000000e+00 -2.000000e+00 2.070780e-01 94 1 19 -1.000000e+00 -2.000000e+00 2.080870e-01 99 1 20 -3.000000e+00 -2.000000e+00 2.090700e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.109139e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.119780e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.130060e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.140350e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.150710e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.161429e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.172089e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.183681e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.196190e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.209239e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.222190e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.235160e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.248108e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.261450e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.273901e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.285988e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.298279e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.310600e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.323439e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.335889e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.335889e-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 2.793629e-01 51 1 21 8.151871e+01 2.236176e+02 1.321325e+00 3723 1 30 2.138334e+03 2.336430e+02 3.013894e+00 7674 1 38 8.025312e+02 2.352957e+02 4.348440e+00 10194 1 46 1.737622e+02 2.358930e+02 5.429640e+00 12054 1 56 1.051492e+02 2.360772e+02 6.445874e+00 13608 1 63 1.493193e+03 2.362190e+02 8.139996e+00 15909 1 71 1.519535e+02 2.362929e+02 9.146065e+00 17205 1 98 5.715017e+02 2.364082e+02 1.452306e+01 23094 1 100 4.969839e+02 2.364135e+02 1.535576e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.535576e+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 8.494570e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.156949e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.473761e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.780372e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.089134e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.411653e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.762109e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.124547e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.490580e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.826895e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.826895e+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 4.390032e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.193672e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.042470e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.971320e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.899220e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.088255e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.277703e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.380218e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.594159e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.707304e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.811417e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.915878e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.018249e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.133347e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.245337e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.371570e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.483567e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.721329e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.744174e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.744174e+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 2.815700e-02 54 1 20 3.336455e+05 3.402383e+05 4.099417e-02 104 1 30 3.993519e+05 3.403155e+05 5.295801e-02 158 1 40 3.337559e+05 3.403155e+05 6.452513e-02 208 1 48 3.337559e+05 3.403155e+05 7.463813e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.463813e-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 2.457190e-02 92 1 20 4.506600e+05 4.054833e+05 3.902292e-02 172 1 30 3.959476e+05 4.067125e+05 5.156994e-02 264 1 40 4.497721e+05 4.067125e+05 6.309295e-02 344 1 47 3.959476e+05 4.067125e+05 7.267690e-02 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.267690e-02 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 6.333656e+00 14 1 40 2.308500e+03 4.074139e+03 7.217692e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.217692e+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 2.427266e+00 8 1 6L 4.000000e+04 6.250000e+04 3.500286e+00 60 1 15L 9.500000e+04 6.250000e+04 4.523834e+00 132 1 20L 6.000000e+04 6.250000e+04 5.449366e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.449366e+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 2.323008e-02 8 1 16 4.000000e+04 6.250000e+04 1.077398e+00 140 1 20 4.000000e+04 6.250000e+04 1.352241e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.352241e+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 6.827593e-02 5 1 10 4.000000e+04 6.250000e+04 7.483909e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.483909e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 3.167410e-01 6 1 20L 9.000000e+00 9.000000e+00 4.090819e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.090819e-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 1.024052e+00 87 1 10 -1.109375e+01 2.605769e-01 1.036634e+00 142 1 15 3.105797e+00 5.434132e-01 1.050147e+00 197 1 20 -2.463349e+01 1.503415e+00 1.063244e+00 252 1 25 -1.421085e-14 1.514085e+00 1.076866e+00 307 1 30 4.864000e+01 1.514085e+00 3.174991e+00 394 1 35 4.864000e+01 1.514085e+00 3.188203e+00 449 1 40 -8.870299e+00 1.514085e+00 3.203186e+00 504 1 45 -1.428571e+00 1.514085e+00 3.218269e+00 559 1 48 -1.428571e+00 1.514085e+00 3.228260e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.228260e+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 9.353669e-01 278 1 20 1.440356e+01 1.278425e+00 9.721620e-01 428 1 30 8.388546e+00 1.278425e+00 1.037546e+00 706 1 40 6.666667e-03 1.278410e+00 1.073551e+00 856 1 50 -5.614035e+00 1.278410e+00 1.133421e+00 1134 1 60 1.426676e+01 1.278410e+00 1.175705e+00 1284 1 64 1.261296e+01 1.278410e+00 1.193846e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.193846e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 8.646798e-02 278 1 20 1.111084e+01 1.278410e+00 1.378210e-01 428 1 30 2.293779e+01 1.278410e+00 2.228060e-01 706 1 40 1.426676e+01 1.278410e+00 3.017271e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.017271e-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 5.961034e+00 900 1 20 6.374753e+00 1.361934e+01 6.316633e+00 1720 1 30 2.848217e+01 1.624016e+01 7.078987e+00 3036 1 40 1.973944e+01 1.776547e+01 8.011396e+00 4192 1 50 4.000000e+00 1.889360e+01 8.784749e+00 5020 1 60 1.142478e+01 1.907862e+01 9.683909e+00 5808 1 70 9.386421e+00 1.961295e+01 1.060427e+01 6540 1 80 5.667851e+01 1.890911e+01 1.131320e+01 7088 1 90 3.740597e+01 1.993139e+01 1.284803e+01 8180 1 100 9.867183e+00 2.001688e+01 1.358775e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.358775e+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 3.212596e+00 36 1 10 0.000000e+00 0.000000e+00 3.254377e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.254377e+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 7.172108e-03 407 1 10 2.850000e+02 5.728212e+02 6.323910e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.323910e-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 7.495165e-03 778 1 10 2.825000e+02 3.465177e+02 7.416010e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.416010e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 7.179022e-03 1149 1 10 2.587500e+02 2.052799e+02 6.848693e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.848693e-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 2.155209e-02 1520 1 10 2.875000e+02 4.661908e+02 9.128809e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.128809e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 7.540941e-03 1891 1 10 1.000000e+02 1.129771e+02 6.496310e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.496310e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 7.964849e-03 2262 1 10 1.625000e+02 2.794553e+02 7.553601e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.553601e-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 8.040190e-03 2633 1 10 5.487500e+02 4.077574e+02 7.770801e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.770801e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 8.228064e-03 3004 1 10 6.771875e+02 5.210100e+02 7.249022e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.249022e-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 7.464170e-03 3375 1 10 5.312500e+01 5.938345e+01 6.117916e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.117916e-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 1.405504e+00 235 1 10 1.000000e+01 9.159200e+00 1.891064e+00 310 1 15 1.000000e+01 9.159200e+00 2.423009e+00 385 1 20 1.000000e+01 9.159200e+00 2.910526e+00 460 1 25 1.000000e+01 9.159200e+00 5.769496e+00 695 1 30 4.000000e+00 9.159200e+00 6.262482e+00 770 1 35 1.000000e+01 9.159200e+00 6.759977e+00 845 1 40 1.000000e+01 9.159200e+00 7.310453e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.310453e+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 1.371691e+00 510 1 20 1.000000e+01 6.834387e+00 3.104656e+00 720 1 30 7.000000e+00 6.834387e+00 7.114567e+00 1230 1 40 1.000000e+01 6.823805e+00 8.743749e+00 1440 1 50 3.000000e+00 6.823805e+00 1.284173e+01 1950 1 60 2.000000e+00 6.823805e+00 1.455564e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.455564e+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 1.416291e+01 920 1 20 6.049875e+06 2.075240e+06 1.709570e+01 1340 1 30 5.496647e+05 2.078257e+06 3.058108e+01 2260 1 40 3.985383e+04 2.078257e+06 3.342477e+01 2680 1 50 2.994548e+05 2.078257e+06 4.650790e+01 3600 1 60 3.799457e+06 2.078257e+06 4.935345e+01 4020 1 61 3.549665e+06 2.078257e+06 4.964528e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.964528e+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 3.505377e+01 920 1 20L 2.799668e+06 2.079457e+06 5.726057e+01 1340 1 30L 3.799443e+06 2.079457e+06 9.038968e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.127386e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.127386e+02 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.188534e+02 2.708222e+00 1914 1 200 0.000000e+00 1.191645e+02 3.175485e+00 3840 1 300 7.500000e+01 1.191666e+02 3.669813e+00 5738 1 328 2.500000e+00 1.191667e+02 3.774876e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.774876e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 6.541159e-01 2806 1 200 0.000000e+00 1.191666e+02 1.259905e+00 4749 1 287 5.000000e+00 1.191667e+02 1.665186e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.665186e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 1.041451e-01 1033 1 20 8.000000e+00 2.000000e+01 1.213338e-01 1209 1 30 1.200000e+01 2.000000e+01 2.106299e-01 2304 1 40 3.000000e+01 2.000000e+01 2.812750e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.812750e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2) sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+01] bounds range [2e+01, 2e+02] rhs range [8e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.948878e+03 2.847167e+03 6.106615e-02 35 1 10 7.500000e+02 2.935390e+03 1.020310e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.020310e-01 total solves : 350 best bound : 2.935390e+03 simulation ci : 1.544902e+03 ± 5.533339e+02 numeric issues : 0 ------------------------------------------------------------------- Building and solving inner model for upper bounds: Node: 3 - elapsed time: 0.25 plus 0.53 for vertex selection. Node: 2 - elapsed time: 0.02 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.02 plus 0.01 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 0.840162224 Bounds: Risk-neutral confidence interval: 1411.99 ± 82.02 Risk-adjusted lower bound: 2935.39 Risk-adjusted upper bound: 2969.68 [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 5.887032e-03 3 1 40 2.000000e+00 2.000000e+00 9.316087e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.316087e-02 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 8.761859e-01 1350 1 20 5.062500e+00 4.110713e+00 1.079400e+00 2700 1 30 4.500000e+00 4.104200e+00 1.289293e+00 4050 1 40 3.812500e+00 4.102669e+00 1.629932e+00 5400 1 50 4.725000e+00 4.095504e+00 1.880831e+00 6750 1 60 4.050000e+00 4.092999e+00 2.137424e+00 8100 1 70 4.606250e+00 4.091524e+00 2.367087e+00 9450 1 80 3.875000e+00 4.089694e+00 2.611250e+00 10800 1 90 3.750000e+00 4.089490e+00 2.880436e+00 12150 1 100 5.125000e+00 4.087894e+00 3.165139e+00 13500 1 110 4.500000e+00 4.087478e+00 3.441098e+00 14850 1 120 3.650000e+00 4.086704e+00 3.729111e+00 16200 1 130 4.406250e+00 4.086063e+00 4.017501e+00 17550 1 140 3.375000e+00 4.085981e+00 4.292677e+00 18900 1 150 3.000000e+00 4.085945e+00 4.547414e+00 20250 1 160 3.812500e+00 4.085838e+00 4.845236e+00 21600 1 170 4.250000e+00 4.085728e+00 5.149165e+00 22950 1 180 3.243750e+00 4.085593e+00 5.438184e+00 24300 1 190 4.306250e+00 4.085487e+00 5.734952e+00 25650 1 200 5.237500e+00 4.085446e+00 6.058606e+00 27000 1 210 4.500000e+00 4.085441e+00 6.377943e+00 28350 1 220 3.612500e+00 4.085405e+00 6.698591e+00 29700 1 230 3.700000e+00 4.085382e+00 7.021917e+00 31050 1 240 3.437500e+00 4.085254e+00 7.333850e+00 32400 1 250 4.100000e+00 4.085115e+00 7.650080e+00 33750 1 260 3.000000e+00 4.084973e+00 7.957745e+00 35100 1 270 4.918750e+00 4.084943e+00 8.277655e+00 36450 1 280 2.756250e+00 4.084920e+00 8.611493e+00 37800 1 290 3.737500e+00 4.084868e+00 8.960120e+00 39150 1 300 5.750000e+00 4.084868e+00 9.306273e+00 40500 1 310 5.156250e+00 4.084858e+00 9.660820e+00 41850 1 320 3.131250e+00 4.084855e+00 1.012086e+01 43200 1 330 4.125000e+00 4.084846e+00 1.046566e+01 44550 1 340 5.875000e+00 4.084820e+00 1.081227e+01 45900 1 350 4.587500e+00 4.084810e+00 1.116849e+01 47250 1 360 5.087500e+00 4.084805e+00 1.154077e+01 48600 1 370 4.393750e+00 4.084802e+00 1.187780e+01 49950 1 380 4.750000e+00 4.084792e+00 1.219905e+01 51300 1 390 4.437500e+00 4.084785e+00 1.252247e+01 52650 1 400 4.181250e+00 4.084785e+00 1.283253e+01 54000 1 410 3.650000e+00 4.084777e+00 1.316929e+01 55350 1 420 3.750000e+00 4.084769e+00 1.347658e+01 56700 1 430 3.725000e+00 4.084762e+00 1.378284e+01 58050 1 440 4.218750e+00 4.084751e+00 1.408227e+01 59400 1 450 5.500000e+00 4.084751e+00 1.440624e+01 60750 1 460 3.637500e+00 4.084747e+00 1.463385e+01 62100 1 470 2.993750e+00 4.084743e+00 1.487738e+01 63450 1 480 5.237500e+00 4.084743e+00 1.513738e+01 64800 1 490 4.212500e+00 4.084743e+00 1.537163e+01 66150 1 500 3.843750e+00 4.084743e+00 1.560717e+01 67500 1 510 3.425000e+00 4.084743e+00 1.582564e+01 68850 1 520 4.293750e+00 4.084743e+00 1.603923e+01 70200 1 530 2.818750e+00 4.084740e+00 1.627419e+01 71550 1 540 4.668750e+00 4.084740e+00 1.651463e+01 72900 1 550 2.750000e+00 4.084740e+00 1.675690e+01 74250 1 560 4.100000e+00 4.084740e+00 1.701306e+01 75600 1 570 3.200000e+00 4.084738e+00 1.728377e+01 76950 1 580 3.525000e+00 4.084738e+00 1.760215e+01 78300 1 590 3.125000e+00 4.084738e+00 1.797418e+01 79650 1 600 4.875000e+00 4.084736e+00 1.838402e+01 81000 1 610 4.050000e+00 4.084736e+00 1.885145e+01 82350 1 620 4.750000e+00 4.084733e+00 1.924656e+01 83700 1 630 3.687500e+00 4.084733e+00 1.962268e+01 85050 1 640 3.875000e+00 4.084733e+00 2.001878e+01 86400 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001878e+01 total solves : 86400 best bound : 4.084733e+00 simulation ci : 4.077646e+00 ± 5.957347e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.437500e+00 5.043445e+00 3.920670e-01 1350 1 20 3.000000e+00 4.741726e+00 1.082935e+00 2700 1 30 3.018750e+00 4.059070e+00 2.166001e+00 4050 1 40 3.375000e+00 4.057143e+00 3.515757e+00 5400 1 50 4.875000e+00 4.052626e+00 5.216953e+00 6750 1 60 3.562500e+00 4.040018e+00 7.112015e+00 8100 1 70 4.125000e+00 4.039430e+00 9.394035e+00 9450 1 80 4.875000e+00 4.039386e+00 1.212200e+01 10800 1 90 4.268750e+00 4.039134e+00 1.464394e+01 12150 1 100 3.500000e+00 4.037861e+00 1.768090e+01 13500 1 108 3.125000e+00 4.037699e+00 2.027012e+01 14580 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.027012e+01 total solves : 14580 best bound : 4.037699e+00 simulation ci : 4.081713e+00 ± 1.480183e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.219176e+00 1.165102e+00 1.746796e+01 1680 1 20 2.078810e+00 1.166281e+00 1.892001e+01 2560 1 30 3.973033e+00 1.166907e+00 2.062973e+01 3440 1 40 3.706337e+00 1.167312e+00 3.632560e+01 5120 1 50 3.158565e+00 1.167416e+00 3.792346e+01 6000 1 60 3.642642e+00 1.167416e+00 5.376174e+01 7680 1 70 3.451253e+00 1.167416e+00 5.535000e+01 8560 1 71 2.984727e+00 1.167416e+00 5.547561e+01 8648 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.547561e+01 total solves : 8648 best bound : 1.167416e+00 simulation ci : 3.293853e+00 ± 1.130135e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_two.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 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 : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] 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] From worker 5: From worker 5: ====================================================================================== From worker 5: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 5: ====================================================================================== From worker 5: From worker 5: cmd: /opt/julia/bin/julia 105 running 0 of 1 From worker 5: From worker 5: signal (10): User defined signal 1 From worker 5: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 5: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 5: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 5: ijl_task_get_next at /source/src/scheduler.c:457 From worker 5: wait at ./task.jl:1200 From worker 5: wait_forever at ./task.jl:1137 From worker 5: jfptr_wait_forever_51086.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:4022 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4219 From worker 5: jl_apply at /source/src/julia.h:2378 [inlined] From worker 5: start_task at /source/src/task.c:1253 From worker 5: unknown function (ip: (nil)) at (unknown file) From worker 5: From worker 5: ============================================================== From worker 5: Profile collected. A report will print at the next yield point From worker 5: ============================================================== From worker 5: ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.000000e+01 -5.809615e+01 1.175829e+00 78 1 20 -4.000000e+01 -5.809615e+01 2.445898e+00 148 1 30 -4.000000e+01 -5.809615e+01 3.883841e+00 226 1 40 -4.700000e+01 -5.809615e+01 5.218870e+00 296 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.218870e+00 total solves : 296 best bound : -5.809615e+01 simulation ci : -5.346250e+01 ± 7.152725e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 9.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] 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 ------------------------------------------------------------------- 10 -6.300000e+01 -6.196125e+01 1.473171e+00 138 1 20 From worker 4: From worker 4: ====================================================================================== From worker 4: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 4: ====================================================================================== From worker 4: From worker 4: cmd: /opt/julia/bin/julia 104 running 0 of 1 From worker 4: From worker 4: signal (10): User defined signal 1 From worker 4: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 4: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 4: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 4: ijl_task_get_next at /source/src/scheduler.c:457 -4.000000e+01 -6.196125e+01 2.819213e+00 258 1 30 From worker 4: wait at ./task.jl:1200 From worker 4: wait_forever at ./task.jl:1137 From worker 4: jfptr_wait_forever_51086.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:4022 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4219 From worker 4: jl_apply at /source/src/julia.h:2378 [inlined] From worker 4: start_task at /source/src/task.c:1253 From worker 4: unknown function (ip: (nil)) at (unknown file) From worker 4: From worker 4: ============================================================== From worker 4: Profile collected. A report will print at the next yield point From worker 4: ============================================================== From worker 4: -7.500000e+01 -6.196125e+01 5.510323e+00 396 1 40 -4.000000e+01 -6.196125e+01 7.421300e+00 516 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.421300e+00 total solves : 516 best bound : -6.196125e+01 simulation ci : -6.108750e+01 ± 7.148463e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 3.60000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] 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 ------------------------------------------------------------------- 10 -7.000000e+01 -6.546793e+01 3.535157e+00 462 1 20 From worker 3: From worker 3: ====================================================================================== From worker 3: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 3: ====================================================================================== From worker 3: From worker 3: cmd: /opt/julia/bin/julia 102 running 0 of 1 From worker 3: From worker 3: signal (10): User defined signal 1 From worker 3: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 3: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 3: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 3: ijl_task_get_next at /source/src/scheduler.c:457 From worker 3: wait at ./task.jl:1200 From worker 3: wait_forever at ./task.jl:1137 From worker 3: jfptr_wait_forever_51086.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 3: _jl_invoke at /source/src/gf.c:4022 [inlined] From worker 3: ijl_apply_generic at /source/src/gf.c:4219 From worker 3: jl_apply at /source/src/julia.h:2378 [inlined] From worker 3: start_task at /source/src/task.c:1253 From worker 3: unknown function (ip: (nil)) at (unknown file) From worker 3: From worker 3: ============================================================== From worker 3: Profile collected. A report will print at the next yield point From worker 3: ============================================================== From worker 3: -5.600000e+01 -6.546793e+01 6.071128e+00 852 1 30 -4.000000e+01 -6.546793e+01 1.390240e+01 1314 1 40 From worker 2: From worker 2: ====================================================================================== From worker 2: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 2: ====================================================================================== From worker 2: From worker 2: cmd: /opt/julia/bin/julia 98 running 0 of 1 From worker 2: From worker 2: signal (10): User defined signal 1 From worker 2: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 2: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 2: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 2: ijl_task_get_next at /source/src/scheduler.c:457 From worker 2: wait at ./task.jl:1200 From worker 2: wait_forever at ./task.jl:1137 From worker 2: jfptr_wait_forever_51086.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 2: _jl_invoke at /source/src/gf.c:4022 [inlined] From worker 2: ijl_apply_generic at /source/src/gf.c:4219 From worker 2: jl_apply at /source/src/julia.h:2378 [inlined] From worker 2: start_task at /source/src/task.c:1253 From worker 2: unknown function (ip: (nil)) at (unknown file) From worker 2: From worker 2: ============================================================== From worker 2: Profile collected. A report will print at the next yield point From worker 2: ============================================================== From worker 2: -4.000000e+01 -6.546793e+01 1.700909e+01 1704 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.700909e+01 total solves : 1704 best bound : -6.546793e+01 simulation ci : -5.991250e+01 ± 5.174250e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: stochastic_all_blacks.jl ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 29 running 1 of 1 signal (10): User defined signal 1 lookup_type_set at /source/src/jltypes.c:1044 [inlined] lookup_type at /source/src/jltypes.c:1124 inst_datatype_inner at /source/src/jltypes.c:2138 jl_apply_tuple_type_v_ at /source/src/jltypes.c:2459 [inlined] ijl_apply_tuple_type_v at /source/src/jltypes.c:2469 _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 argtypes_to_type at ./../usr/share/julia/Compiler/src/typeutils.jl:55 abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2795 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2903 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2896 [inlined] abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3056 abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3074 [inlined] abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3430 abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3857 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3814 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4363 jfptr_typeinf_local_86208.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4521 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1385 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1568 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1577 jfptr_typeinf_ext_toplevel_83920.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] jl_type_infer at /source/src/gf.c:462 jl_compile_method_internal at /source/src/gf.c:3522 _jl_invoke at /source/src/gf.c:4014 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [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: 0x7fc74c2b4ec2) at (unknown file) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_61059.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_44596.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [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: 0x7fc77675f249) 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 ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1200 wait_forever at ./task.jl:1137 jfptr_wait_forever_51086.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 operator delete at /workspace/srcdir/gcc-14.2.0/libstdc++-v3/libsupc++/del_ops.cc:32 unknown function (ip: (nil)) at (unknown file) Allocations: 20807623 (Pool: 20807089; Big: 534); GC: 17 [29] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/stochastic_all_blacks.jl:55 unknown function (ip: 0x7fc77688b3ce) at /lib/x86_64-linux-gnu/libc.so.6 _ZN4llvm13LiveIntervals21computeLiveInRegUnitsEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13LiveIntervals7analyzeERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm24LiveIntervalsWrapperPass20runOnMachineFunctionERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm3orc14SimpleCompilerclERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) operator() at /source/src/jitlayers.cpp:1612 addModule at /source/src/jitlayers.cpp:2093 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:873 jl_compile_method_internal at /source/src/gf.c:3534 _jl_invoke at /source/src/gf.c:4014 [inlined] ijl_apply_generic at /source/src/gf.c:4219 _get_incoming_domain at /home/pkgeval/.julia/packages/SDDP/39RYL/src/user_interface.jl:1072 #PolicyGraph#14 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/user_interface.jl:1038 PolicyGraph at /home/pkgeval/.julia/packages/SDDP/39RYL/src/user_interface.jl:926 [inlined] #LinearPolicyGraph#12 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/user_interface.jl:813 [inlined] LinearPolicyGraph at /home/pkgeval/.julia/packages/SDDP/39RYL/src/user_interface.jl:809 [inlined] stochastic_all_blacks at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/stochastic_all_blacks.jl:25 unknown function (ip: 0x7fc749561d3f) at (unknown file) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [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: 0x7fc74c2b4ec2) at (unknown file) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_61059.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_44596.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4022 [inlined] ijl_apply_generic at /source/src/gf.c:4219 jl_apply at /source/src/julia.h:2378 [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: 0x7fc77675f249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 598037075 (Pool: 598033617; Big: 3458); GC: 135 PkgEval terminated after 2769.58s: test duration exceeded the time limit