Package evaluation of SDDP on Julia 1.13.0-DEV.811 (41570e9800*) started at 2025-07-03T18:31:37.184 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.78s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.12.0 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 v4.17.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.18.22 [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 v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.26.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.41.0 [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 v1.4.3 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.12.0 [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 v1.12.0 [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 v1.12.0 [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 v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+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 4.13s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ 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/She2h/src/algorithm.jl:391 [ 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 4.155681e-01 4 1 3 0.000000e+00 0.000000e+00 9.416981e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.416981e-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 2.357912e-02 9 1 20 7.500000e+04 1.075000e+05 7.922602e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.922602e-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/She2h/src/algorithm.jl:1170 ┌ 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/She2h/src/algorithm.jl:1170 [ 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/She2h/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 1.149575e+00 12 1 10 2.500000e+00 3.361111e+01 1.178515e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.178515e+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 1.304388e-02 12 1 10 2.500000e+00 3.361111e+01 3.465891e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.465891e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.174402e-02 46 1 50 0.000000e+00 1.191663e+02 6.800101e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.800101e-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 1.127505e-02 46 1 50 0.000000e+00 1.191663e+02 5.840070e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.840070e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl Precompiling packages... 57373.0 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 58 seconds. 74 already precompiled. ------------------------------------------------------------------- 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 3.644442e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.091645e+00 309 1 11S -8.368889e+01 -6.677644e+01 7.536276e+00 1133 1 13S -3.268889e+01 -6.677644e+01 8.719609e+00 1339 1 15S -4.168889e+01 -6.677644e+01 9.858052e+00 1545 1 25S -4.168889e+01 -6.677644e+01 1.596193e+01 2575 1 35S -3.268889e+01 -6.677644e+01 2.203834e+01 3605 1 45S -4.168889e+01 -6.677644e+01 2.771869e+01 4635 1 55S -4.868889e+01 -6.677644e+01 3.385979e+01 5665 1 63S -8.068889e+01 -6.677644e+01 3.909694e+01 6489 1 73S -7.168889e+01 -6.677644e+01 4.523935e+01 7519 1 83S -7.168889e+01 -6.677644e+01 5.130171e+01 8549 1 92 -5.268889e+01 -6.677644e+01 5.631081e+01 9476 1 100 -8.368889e+01 -6.677644e+01 6.113823e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.113823e+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 ┌ 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/She2h/src/algorithm.jl:1170 [ 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 5: Precompiling packages... From worker 4: Precompiling packages... From worker 3: Precompiling packages... From worker 2: Precompiling packages... From worker 4: SDDP Being precompiled by another process (pid: 94, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 2: SDDP Being precompiled by another process (pid: 94, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 3: SDDP Being precompiled by another process (pid: 94, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: 39135.3 ms ✓ SDDP From worker 5: 1 dependency successfully precompiled in 46 seconds. 70 already precompiled. From worker 3: 39253.6 ms ✓ SDDP From worker 3: 1 dependency successfully precompiled in 46 seconds. 70 already precompiled. From worker 2: 39826.6 ms ✓ SDDP From worker 2: 1 dependency successfully precompiled in 47 seconds. 70 already precompiled. From worker 4: 40599.4 ms ✓ SDDP From worker 4: 1 dependency successfully precompiled in 48 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 3.000000e+00 6.000000e+00 3.332080e+02 2 5 20 3.000000e+00 6.000000e+00 3.383031e+02 40 5 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.383031e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.700000e+00 ± 9.549212e-01 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/She2h/src/algorithm.jl:1170 ------------------------------------------------------------------- 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 2.918990e-01 48 1 parallel_schemes.jl: Error During Test at /home/pkgeval/.julia/packages/SDDP/She2h/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/She2h/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/She2h/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::Int64, 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/She2h/src/algorithm.jl:1295 [2] train @ ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] [3] test_async_solve() @ Main ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:176 [4] top-level scope @ ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:233 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [6] IncludeInto @ ./Base.jl:311 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [9] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/She2h/test/runtests.jl:14 [10] top-level scope @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [12] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:290 [17] _start() @ Base ./client.jl:557 in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/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/She2h/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/She2h/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/She2h/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::Int64, 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/She2h/src/algorithm.jl:1280 [18] train @ ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] [19] test_async_solve() @ Main ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:176 [20] top-level scope @ ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:233 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] IncludeInto @ ./Base.jl:311 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [25] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/She2h/test/runtests.jl:14 [26] top-level scope @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [28] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:290 [33] _start() @ Base ./client.jl:557 [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/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 7.236004e-03 4 1 50 0.000000e+00 0.000000e+00 2.999630e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.999630e-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/She2h/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/She2h/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/She2h/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl Precompiling packages... 19429.9 ms ✓ PlotUtils 1635.1 ms ✓ FreeType2_jll 10095.3 ms ✓ PlotThemes 7302.8 ms ✓ RecipesPipeline 1556.4 ms ✓ Fontconfig_jll 4764.5 ms ✓ Qt6Base_jll 1326.3 ms ✓ Cairo_jll 1320.5 ms ✓ Qt6ShaderTools_jll 1392.1 ms ✓ HarfBuzz_jll 1454.2 ms ✓ Qt6Declarative_jll 1239.8 ms ✓ libass_jll 1273.5 ms ✓ Pango_jll 1489.8 ms ✓ Qt6Wayland_jll 1863.5 ms ✓ FFMPEG_jll 8732.8 ms ✓ libdecor_jll 1471.9 ms ✓ FFMPEG 1787.3 ms ✓ GLFW_jll 8982.1 ms ✓ GR_jll 6946.9 ms ✓ GR 131111.4 ms ✓ Plots 37826.3 ms ✓ Plots → UnitfulExt 21 dependencies successfully precompiled in 255 seconds. 160 already precompiled. Precompiling packages... 1653.7 ms ✓ ColorVectorSpace → SpecialFunctionsExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. From worker 2: Precompiling packages... From worker 5: Precompiling packages... From worker 4: Precompiling packages... From worker 3: Precompiling packages... From worker 3: StatsBase Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 4: StatsBase Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 5: StatsBase Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 2: 25032.0 ms ✓ StatsBase From worker 5: 24607.3 ms ✓ StatsBase From worker 5: Plots Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 3: 24725.6 ms ✓ StatsBase From worker 3: Plots Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 4: 25159.5 ms ✓ StatsBase From worker 4: Plots Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: 117173.1 ms ✓ Plots From worker 5: 118551.4 ms ✓ Plots From worker 5: UnitfulExt Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 3: 119943.5 ms ✓ Plots From worker 3: UnitfulExt Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 4: 121496.2 ms ✓ Plots From worker 4: UnitfulExt Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 2: 23548.4 ms ✓ Plots → UnitfulExt From worker 2: 3 dependencies successfully precompiled in 173 seconds. 178 already precompiled. From worker 3: 22270.8 ms ✓ Plots → UnitfulExt From worker 3: 3 dependencies successfully precompiled in 175 seconds. 178 already precompiled. From worker 5: 26945.9 ms ✓ Plots → UnitfulExt From worker 5: 3 dependencies successfully precompiled in 178 seconds. 178 already precompiled. From worker 4: 27332.4 ms ✓ Plots → UnitfulExt From worker 4: 3 dependencies successfully precompiled in 182 seconds. 178 already precompiled. From worker 2: Precompiling packages... From worker 3: Precompiling packages... From worker 3: SpecialFunctionsExt Being precompiled by another process (pid: 88, pidfile: /home/pkgeval/.julia/compiled/v1.13/SpecialFunctionsExt/iWq2v_eJM3J.ji.pidfile) From worker 2: 6513.5 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 2: 1 dependency successfully precompiled in 7 seconds. 19 already precompiled. From worker 3: 3036.9 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 3: 1 dependency successfully precompiled in 4 seconds. 19 already precompiled. test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/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:741 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/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/She2h/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/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:741 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/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 7.162497e+00 5 1 20 0.000000e+00 -1.000000e+01 7.778488e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.778488e+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 1.940608e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.620196e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.360295e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.162812e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.286598e-02 224 1 30 -5.320000e+00 -2.396000e+01 6.479812e-02 264 1 35 -2.396000e+01 -2.396000e+01 7.488298e-02 304 1 40 -2.396000e+01 -2.396000e+01 8.926916e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.926916e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 364ms / 21.9% 12.9MiB / 61.6% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 47.9ms 60.1% 1.20ms 5.87MiB 73.9% 150KiB solve_subproblem 160 24.6ms 30.9% 154μs 944KiB 11.6% 5.90KiB get_dual_solution 160 1.29ms 1.6% 8.06μs 190KiB 2.3% 1.19KiB prepare_backward_pass 160 49.0μs 0.1% 306ns 0.00B 0.0% 0.00B forward_pass 40 22.1ms 27.7% 552μs 1.78MiB 22.5% 45.7KiB solve_subproblem 120 20.1ms 25.2% 167μs 1.61MiB 20.2% 13.7KiB get_dual_solution 120 83.8μs 0.1% 698ns 13.1KiB 0.2% 112B sample_scenario 40 353μs 0.4% 8.83μs 24.2KiB 0.3% 620B calculate_bound 40 9.71ms 12.2% 243μs 289KiB 3.6% 7.24KiB get_dual_solution 40 39.4μs 0.0% 985ns 4.38KiB 0.1% 112B get_dual_solution 36 22.4μs 0.0% 621ns 3.94KiB 0.0% 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 5.326700e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.064606e-02 92 1 15 -2.396000e+01 -2.396000e+01 6.935692e-02 132 1 20 -4.260000e+01 -2.396000e+01 7.919598e-02 172 1 25 -5.320000e+00 -2.396000e+01 9.211397e-02 224 1 30 -2.396000e+01 -2.396000e+01 1.047180e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.189229e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.343009e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.343009e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 142ms / 88.4% 15.3MiB / 94.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 93.0ms 74.3% 2.32ms 12.3MiB 85.5% 315KiB solve_subproblem 160 22.6ms 18.1% 142μs 950KiB 6.5% 5.94KiB get_dual_solution 160 1.22ms 1.0% 7.61μs 190KiB 1.3% 1.19KiB prepare_backward_pass 160 47.1μs 0.0% 295ns 0.00B 0.0% 0.00B forward_pass 40 22.8ms 18.3% 571μs 1.78MiB 12.4% 45.6KiB solve_subproblem 120 21.2ms 17.0% 177μs 1.61MiB 11.2% 13.7KiB get_dual_solution 120 75.1μs 0.1% 626ns 13.1KiB 0.1% 112B sample_scenario 40 263μs 0.2% 6.58μs 24.3KiB 0.2% 623B calculate_bound 40 9.33ms 7.5% 233μs 301KiB 2.0% 7.52KiB get_dual_solution 40 35.7μs 0.0% 892ns 4.38KiB 0.0% 112B get_dual_solution 36 19.7μs 0.0% 546ns 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 1.582868e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.599948e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.608648e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.615398e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.622269e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.629388e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.636088e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.643419e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.650789e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.658120e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.673758e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.681528e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.689119e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.696708e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.704729e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.712630e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.720309e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.728759e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.736689e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.745138e-01 104 1 21 -1.000000e+00 -2.000000e+00 1.760020e-01 113 1 22 -1.000000e+00 -2.000000e+00 1.768320e-01 118 1 23 -3.000000e+00 -2.000000e+00 1.776578e-01 123 1 24 -3.000000e+00 -2.000000e+00 1.785228e-01 128 1 25 -1.000000e+00 -2.000000e+00 1.794469e-01 133 1 26 -3.000000e+00 -2.000000e+00 1.803730e-01 138 1 27 -3.000000e+00 -2.000000e+00 1.813259e-01 143 1 28 -1.000000e+00 -2.000000e+00 1.825190e-01 148 1 29 -3.000000e+00 -2.000000e+00 1.834450e-01 153 1 30 -3.000000e+00 -2.000000e+00 1.845150e-01 158 1 31 -1.000000e+00 -2.000000e+00 1.855109e-01 163 1 32 -1.000000e+00 -2.000000e+00 1.864870e-01 168 1 33 -1.000000e+00 -2.000000e+00 1.875248e-01 173 1 34 -3.000000e+00 -2.000000e+00 1.885459e-01 178 1 35 -1.000000e+00 -2.000000e+00 1.895409e-01 183 1 36 -3.000000e+00 -2.000000e+00 1.918769e-01 188 1 37 -1.000000e+00 -2.000000e+00 1.929388e-01 193 1 38 -1.000000e+00 -2.000000e+00 1.940110e-01 198 1 39 -1.000000e+00 -2.000000e+00 1.950879e-01 203 1 40 -1.000000e+00 -2.000000e+00 1.961968e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.961968e-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 2.560329e-01 51 1 24 2.178733e+02 2.251256e+02 1.261362e+00 3972 1 30 2.138334e+03 2.336430e+02 2.772294e+00 7674 1 36 5.572874e+02 2.348274e+02 3.829209e+00 9420 1 42 8.695951e+02 2.357672e+02 5.055460e+00 11586 1 53 1.403040e+02 2.360578e+02 6.096608e+00 13251 1 63 1.493193e+03 2.362190e+02 7.999266e+00 15909 1 71 1.519535e+02 2.362929e+02 9.027659e+00 17205 1 96 9.550598e+01 2.364021e+02 1.409849e+01 22248 1 100 4.969839e+02 2.364135e+02 1.579100e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.579100e+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 9.233561e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.228185e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.546129e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.886426e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.243968e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.602433e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.949647e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.323036e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.695965e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.069711e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.069711e+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 4.133570e-01 1050 1 20 -1.529197e+00 -1.471817e+00 4.995139e-01 1600 1 30 -1.410768e+00 -1.471408e+00 6.819270e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.750089e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.658360e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.061700e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.250285e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.345575e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.542274e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.646539e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.756363e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.869350e+00 9100 1 130 -1.271481e+00 -1.471075e+00 1.977860e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.094995e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.219330e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.346927e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.473905e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.608027e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.632357e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.632357e+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 2.315092e-02 54 1 20 3.336455e+05 3.402383e+05 3.787899e-02 104 1 30 3.993519e+05 3.403155e+05 5.007005e-02 158 1 40 3.337559e+05 3.403155e+05 6.107092e-02 208 1 48 3.337559e+05 3.403155e+05 7.101607e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.101607e-02 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 3.620005e-02 92 1 20 4.506600e+05 4.054833e+05 5.904102e-02 172 1 30 3.959476e+05 4.067125e+05 7.914996e-02 264 1 40 4.497721e+05 4.067125e+05 9.803104e-02 344 1 47 3.959476e+05 4.067125e+05 1.145430e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.145430e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 6.454974e+00 14 1 40 2.308500e+03 4.074139e+03 7.287677e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.287677e+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 2.307320e+00 8 1 6L 4.000000e+04 6.250000e+04 3.364311e+00 60 1 16L 6.000000e+04 6.250000e+04 4.510310e+00 140 1 20L 6.000000e+04 6.250000e+04 5.201885e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.201885e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.330686e-02 8 1 16 4.000000e+04 6.250000e+04 1.038510e+00 140 1 20 4.000000e+04 6.250000e+04 1.297120e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.297120e+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 6.266594e-02 5 1 10 4.000000e+04 6.250000e+04 7.509739e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.509739e-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 3.288550e-01 6 1 20L 9.000000e+00 9.000000e+00 4.291151e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.291151e-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 1.029183e+00 87 1 10 -1.109375e+01 2.605769e-01 1.040687e+00 142 1 15 3.105797e+00 5.434132e-01 1.053575e+00 197 1 20 -2.463349e+01 1.503415e+00 1.067350e+00 252 1 25 -1.421085e-14 1.514085e+00 1.080686e+00 307 1 30 4.864000e+01 1.514085e+00 3.192198e+00 394 1 35 4.864000e+01 1.514085e+00 3.206350e+00 449 1 40 -8.870299e+00 1.514085e+00 3.222004e+00 504 1 45 -1.428571e+00 1.514085e+00 3.238167e+00 559 1 48 -1.428571e+00 1.514085e+00 3.250498e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.250498e+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 9.711299e-01 278 1 20 1.440356e+01 1.278425e+00 1.006981e+00 428 1 30 8.388546e+00 1.278425e+00 1.069618e+00 706 1 40 6.666667e-03 1.278410e+00 1.108879e+00 856 1 50 -5.614035e+00 1.278410e+00 1.175942e+00 1134 1 60 1.426676e+01 1.278410e+00 1.224594e+00 1284 1 64 1.261296e+01 1.278410e+00 1.245969e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.245969e+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 9.040499e-02 278 1 20 1.111084e+01 1.278410e+00 1.441271e-01 428 1 30 2.293779e+01 1.278410e+00 2.349050e-01 706 1 40 1.426676e+01 1.278410e+00 3.163011e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.163011e-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 6.109874e+00 900 1 20 6.374753e+00 1.361934e+01 6.499283e+00 1720 1 30 2.848217e+01 1.624016e+01 7.355075e+00 3036 1 40 1.973944e+01 1.776547e+01 8.355628e+00 4192 1 50 4.000000e+00 1.889360e+01 9.251556e+00 5020 1 60 1.142478e+01 1.907862e+01 1.019102e+01 5808 1 70 9.386421e+00 1.961295e+01 1.114893e+01 6540 1 80 5.667851e+01 1.890911e+01 1.188611e+01 7088 1 90 3.740597e+01 1.993139e+01 1.370749e+01 8180 1 100 9.867183e+00 2.001688e+01 1.449209e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.449209e+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 4.701112e+00 36 1 10 0.000000e+00 0.000000e+00 4.750729e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.750729e+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 7.839203e-03 407 1 10 2.850000e+02 5.728212e+02 7.513022e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.513022e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 8.041143e-03 778 1 10 2.825000e+02 3.465177e+02 7.968307e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.968307e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 8.285999e-03 1149 1 10 2.587500e+02 2.052799e+02 7.557917e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.557917e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 8.158922e-03 1520 1 10 2.875000e+02 4.661908e+02 8.269191e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.269191e-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 7.898092e-03 1891 1 10 1.000000e+02 1.129771e+02 7.235909e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.235909e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 8.605003e-03 2262 1 10 1.625000e+02 2.794553e+02 8.023381e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.023381e-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 9.582996e-03 2633 1 10 5.487500e+02 4.077574e+02 8.901191e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.901191e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 9.761095e-03 3004 1 10 6.771875e+02 5.210100e+02 8.999801e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.999801e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.817911e-03 3375 1 10 5.312500e+01 5.938345e+01 7.631993e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.631993e-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 1.386786e+00 235 1 10 1.000000e+01 9.159200e+00 1.865745e+00 310 1 15 1.000000e+01 9.159200e+00 2.416294e+00 385 1 20 1.000000e+01 9.159200e+00 2.906805e+00 460 1 25 1.000000e+01 9.159200e+00 5.752761e+00 695 1 30 4.000000e+00 9.159200e+00 6.236798e+00 770 1 35 1.000000e+01 9.159200e+00 6.717872e+00 845 1 40 1.000000e+01 9.159200e+00 7.279770e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.279770e+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 1.363176e+00 510 1 20 1.000000e+01 6.834387e+00 3.060122e+00 720 1 30 7.000000e+00 6.834387e+00 6.992135e+00 1230 1 40 1.000000e+01 6.823805e+00 8.623084e+00 1440 1 50 3.000000e+00 6.823805e+00 1.272417e+01 1950 1 60 2.000000e+00 6.823805e+00 1.438406e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.438406e+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 1.385723e+01 920 1 20 6.049875e+06 2.075240e+06 1.667274e+01 1340 1 30 5.496647e+05 2.078257e+06 2.998257e+01 2260 1 40 3.985383e+04 2.078257e+06 3.286304e+01 2680 1 50 2.994548e+05 2.078257e+06 4.526715e+01 3600 1 60 3.799457e+06 2.078257e+06 4.755972e+01 4020 1 61 3.549665e+06 2.078257e+06 4.777917e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.777917e+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 2.866262e+01 920 1 20L 2.799668e+06 2.079457e+06 4.726433e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.044902e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.019446e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.019446e+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 2.357345e+00 1914 1 200 0.000000e+00 1.191645e+02 2.813456e+00 3840 1 300 7.500000e+01 1.191666e+02 3.278104e+00 5738 1 328 2.500000e+00 1.191667e+02 3.362054e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.362054e+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 7.077332e-01 2806 1 200 0.000000e+00 1.191666e+02 1.320376e+00 4749 1 287 5.000000e+00 1.191667e+02 1.799363e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.799363e+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 1.407890e-01 1033 1 20 8.000000e+00 2.000000e+01 1.629450e-01 1209 1 30 1.200000e+01 2.000000e+01 2.660060e-01 2304 1 40 3.000000e+01 2.000000e+01 3.410060e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.410060e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ 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 5.508900e-03 3 1 40 2.000000e+00 2.000000e+00 1.042349e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.042349e-01 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- 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 9.034159e-01 1350 1 20 5.062500e+00 4.110713e+00 1.124081e+00 2700 1 30 4.500000e+00 4.104200e+00 1.497563e+00 4050 1 40 3.812500e+00 4.102669e+00 1.707531e+00 5400 1 50 4.725000e+00 4.095504e+00 1.927026e+00 6750 1 60 4.050000e+00 4.092999e+00 2.125955e+00 8100 1 70 4.606250e+00 4.091524e+00 2.295979e+00 9450 1 80 3.875000e+00 4.089694e+00 2.472215e+00 10800 1 90 3.750000e+00 4.089490e+00 2.663460e+00 12150 1 100 5.125000e+00 4.087894e+00 2.876214e+00 13500 1 110 4.500000e+00 4.087478e+00 3.109570e+00 14850 1 120 3.650000e+00 4.086704e+00 3.355176e+00 16200 1 130 4.406250e+00 4.086063e+00 3.588836e+00 17550 1 140 3.375000e+00 4.085981e+00 3.778648e+00 18900 1 150 3.000000e+00 4.085945e+00 3.978480e+00 20250 1 160 3.812500e+00 4.085838e+00 4.178076e+00 21600 1 170 4.250000e+00 4.085728e+00 4.447566e+00 22950 1 180 3.243750e+00 4.085593e+00 4.682306e+00 24300 1 190 4.306250e+00 4.085487e+00 4.924366e+00 25650 1 200 5.237500e+00 4.085446e+00 5.206812e+00 27000 1 210 4.500000e+00 4.085441e+00 5.432899e+00 28350 1 220 3.612500e+00 4.085405e+00 5.678445e+00 29700 1 230 3.700000e+00 4.085382e+00 5.967281e+00 31050 1 240 3.437500e+00 4.085254e+00 6.187287e+00 32400 1 250 4.100000e+00 4.085115e+00 6.461782e+00 33750 1 260 3.000000e+00 4.084973e+00 6.765438e+00 35100 1 270 4.918750e+00 4.084943e+00 7.066058e+00 36450 1 280 2.756250e+00 4.084920e+00 7.381549e+00 37800 1 290 3.737500e+00 4.084868e+00 7.781249e+00 39150 1 300 5.750000e+00 4.084868e+00 8.083109e+00 40500 1 310 5.156250e+00 4.084858e+00 8.392148e+00 41850 1 320 3.131250e+00 4.084855e+00 8.683144e+00 43200 1 330 4.125000e+00 4.084846e+00 8.979171e+00 44550 1 340 5.875000e+00 4.084820e+00 9.277649e+00 45900 1 350 4.587500e+00 4.084810e+00 9.617637e+00 47250 1 360 5.087500e+00 4.084805e+00 9.975972e+00 48600 1 370 4.393750e+00 4.084802e+00 1.033297e+01 49950 1 380 4.750000e+00 4.084792e+00 1.068619e+01 51300 1 390 4.437500e+00 4.084785e+00 1.101701e+01 52650 1 400 4.181250e+00 4.084785e+00 1.133862e+01 54000 1 410 3.650000e+00 4.084777e+00 1.169458e+01 55350 1 420 3.750000e+00 4.084769e+00 1.207794e+01 56700 1 430 3.725000e+00 4.084762e+00 1.244492e+01 58050 1 440 4.218750e+00 4.084751e+00 1.280459e+01 59400 1 450 5.500000e+00 4.084751e+00 1.317304e+01 60750 1 460 3.637500e+00 4.084747e+00 1.354002e+01 62100 1 470 2.993750e+00 4.084743e+00 1.391885e+01 63450 1 480 5.237500e+00 4.084743e+00 1.431403e+01 64800 1 490 4.212500e+00 4.084743e+00 1.467801e+01 66150 1 500 3.843750e+00 4.084743e+00 1.503717e+01 67500 1 510 3.425000e+00 4.084743e+00 1.535755e+01 68850 1 520 4.293750e+00 4.084743e+00 1.570368e+01 70200 1 530 2.818750e+00 4.084740e+00 1.608646e+01 71550 1 540 4.668750e+00 4.084740e+00 1.646342e+01 72900 1 550 2.750000e+00 4.084740e+00 1.689928e+01 74250 1 560 4.100000e+00 4.084740e+00 1.729200e+01 75600 1 570 3.200000e+00 4.084738e+00 1.764682e+01 76950 1 580 3.525000e+00 4.084738e+00 1.802566e+01 78300 1 590 3.125000e+00 4.084738e+00 1.839531e+01 79650 1 600 4.875000e+00 4.084736e+00 1.880822e+01 81000 1 610 4.050000e+00 4.084736e+00 1.919166e+01 82350 1 620 4.750000e+00 4.084733e+00 1.959742e+01 83700 1 630 3.687500e+00 4.084733e+00 1.998393e+01 85050 1 631 4.593750e+00 4.084733e+00 2.002060e+01 85185 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.002060e+01 total solves : 85185 best bound : 4.084733e+00 simulation ci : 4.075406e+00 ± 6.007750e-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 3.050000e+00 6.009750e+00 4.905710e-01 1350 1 20 4.018750e+00 5.033798e+00 1.264244e+00 2700 1 30 3.500000e+00 4.738468e+00 2.359823e+00 4050 1 40 3.525000e+00 4.058507e+00 3.480783e+00 5400 1 50 4.225000e+00 4.056524e+00 5.007397e+00 6750 1 60 2.550000e+00 4.050226e+00 6.701788e+00 8100 1 70 4.050000e+00 4.039717e+00 8.533870e+00 9450 1 80 3.918750e+00 4.039354e+00 1.076311e+01 10800 1 90 3.762500e+00 4.039298e+00 1.341340e+01 12150 1 100 4.625000e+00 4.039096e+00 1.605493e+01 13500 1 110 2.950000e+00 4.037852e+00 1.907284e+01 14850 1 114 3.687500e+00 4.037846e+00 2.027921e+01 15390 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.027921e+01 total solves : 15390 best bound : 4.037846e+00 simulation ci : 4.083155e+00 ± 1.419886e-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 1.714564e+01 1680 1 20 2.078810e+00 1.166281e+00 1.863713e+01 2560 1 30 3.973033e+00 1.166907e+00 2.030661e+01 3440 1 40 3.706337e+00 1.167312e+00 3.618180e+01 5120 1 50 3.158565e+00 1.167416e+00 3.761535e+01 6000 1 60 3.642642e+00 1.167416e+00 5.318972e+01 7680 1 70 3.451253e+00 1.167416e+00 5.482937e+01 8560 1 71 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 94 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:1213 From worker 5: wait_forever at ./task.jl:1150 From worker 5: jfptr_wait_forever_73684.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:3798 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3998 From worker 5: jl_apply at /source/src/julia.h:2345 [inlined] From worker 5: start_task at /source/src/task.c:1249 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: 2.984727e+00 1.167416e+00 5.495502e+01 8648 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.495502e+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] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.000000e+01 -5.809615e+01 9.395139e-01 78 1 20 -4.000000e+01 -5.809615e+01 1.973506e+00 148 1 30 -4.000000e+01 -5.809615e+01 3.351868e+00 226 1 40 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 93 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 From worker 4: wait at ./task.jl:1213 From worker 4: wait_forever at ./task.jl:1150 From worker 4: jfptr_wait_forever_73684.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:3798 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3998 From worker 4: jl_apply at /source/src/julia.h:2345 [inlined] From worker 4: start_task at /source/src/task.c:1249 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: -4.700000e+01 -5.809615e+01 5.075856e+00 296 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.075856e+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 2.197694e+00 138 1 20 -4.000000e+01 -6.196125e+01 4.231636e+00 258 1 30 -7.500000e+01 -6.196125e+01 7.057450e+00 396 1 40 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 92 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:1213 From worker 3: wait_forever at ./task.jl:1150 From worker 3: jfptr_wait_forever_73684.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 3: _jl_invoke at /source/src/gf.c:3798 [inlined] From worker 3: ijl_apply_generic at /source/src/gf.c:3998 From worker 3: jl_apply at /source/src/julia.h:2345 [inlined] From worker 3: start_task at /source/src/task.c:1249 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: -4.000000e+01 -6.196125e+01 8.904754e+00 516 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.904754e+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 4.815290e+00 462 1 20 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 88 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:1213 From worker 2: wait_forever at ./task.jl:1150 From worker 2: jfptr_wait_forever_73684.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 2: _jl_invoke at /source/src/gf.c:3798 [inlined] From worker 2: ijl_apply_generic at /source/src/gf.c:3998 From worker 2: jl_apply at /source/src/julia.h:2345 [inlined] From worker 2: start_task at /source/src/task.c:1249 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: -5.600000e+01 -6.546793e+01 7.671372e+00 852 1 30 -4.000000e+01 -6.546793e+01 1.671724e+01 1314 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 15 running 1 of 1 signal (10): User defined signal 1 _ZNSt6vectorISt4pairIddESaIS1_EE19_M_emplace_back_auxIJdRdEEEvDpOT_ at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/eRhCr/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/eRhCr/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7b0c58974122) at (unknown file) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 #optimize!#95 at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:507 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:481 _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 #calculate_bound#84 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:910 calculate_bound at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:870 [inlined] calculate_bound at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:870 unknown function (ip: 0x7b0c52b208e7) at (unknown file) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:969 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7b0c589797a1) at (unknown file) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 #train#91 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] #sldp_example_two#222 at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/sldp_example_two.jl:58 sldp_example_two at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/sldp_example_two.jl:16 unknown function (ip: 0x7b0c520f4082) at (unknown file) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [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:2847 _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 _include at ./loading.jl:2907 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10 unknown function (ip: 0x7b0c5894e562) at (unknown file) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [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:2847 _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 _include at ./loading.jl:2907 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_63464.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [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:290 _start at ./client.jl:557 jfptr__start_41414.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1139 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7b0c8011c249) 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 ============================================================== 40 ====================================================================================== 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:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_73684.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [inlined] start_task at /source/src/task.c:1249 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 subtype_tuple_tail at /source/src/subtype.c:1279 [inlined] subtype_tuple at /source/src/subtype.c:1376 [inlined] subtype at /source/src/subtype.c:1550 exists_subtype at /source/src/subtype.c:1793 [inlined] forall_exists_subtype at /source/src/subtype.c:1822 ijl_subtype_env at /source/src/subtype.c:2281 jl_f_issubtype at /source/src/builtins.c:580 compute_inlining_cases at ./../usr/share/julia/Compiler/src/ssair/inlining.jl:1378 handle_call! at ./../usr/share/julia/Compiler/src/ssair/inlining.jl:1413 assemble_inline_todo! at ./../usr/share/julia/Compiler/src/ssair/inlining.jl:1664 ssa_inlining_pass! at ./../usr/share/julia/Compiler/src/ssair/inlining.jl:76 run_passes_ipo_safe at ./../usr/share/julia/Compiler/src/optimize.jl:1033 run_passes_ipo_safe at ./../usr/share/julia/Compiler/src/optimize.jl:1046 optimize at ./../usr/share/julia/Compiler/src/optimize.jl:1019 jfptr_optimize_83563.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 finish_nocycle at ./../usr/share/julia/Compiler/src/typeinfer.jl:232 jfptr_finish_nocycle_84641.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4476 const_prop_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:1348 abstract_call_method_with_const_args at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:898 abstract_call_method_with_const_args at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:868 handle1 at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:178 infercalls at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:252 abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:338 abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2796 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2903 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2896 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3056 abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3074 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:3805 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3762 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4311 jfptr_typeinf_local_84408.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4469 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1378 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1561 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1570 jfptr_typeinf_ext_toplevel_84941.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [inlined] jl_type_infer at /source/src/gf.c:462 jl_compile_method_internal at /source/src/gf.c:3297 _jl_invoke at /source/src/gf.c:3790 [inlined] ijl_apply_generic at /source/src/gf.c:3998 tree_format at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1067 print_tree at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1255 tree at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1309 print_group at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:389 #print#5 at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:331 print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 _peek_report at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:94 jfptr__peek_report_4546.1 at /opt/julia/share/julia/compiled/v1.13/Profile/nGhxz_X6ROR.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [inlined] jl_f_invokelatest at /source/src/builtins.c:877 profile_printing_listener at ./Base.jl:337 #start_profile_listener##0 at ./Base.jl:355 jfptr_YY.start_profile_listenerYY.YY.0_14662.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 21735030 (Pool: 21734428; Big: 602); GC: 17 [15] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/sldp_example_two.jl:73 _ZN4llvm16isRemovableAllocEPKNS_8CallBaseEPKNS_17TargetLibraryInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16InstCombinerImpl13visitCallBaseERNS_8CallBaseE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16InstCombinerImpl13visitCallInstERNS_8CallInstE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16InstCombinerImpl3runEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZL31combineInstructionsOverFunctionRN4llvm8FunctionERNS_19InstructionWorklistEPNS_9AAResultsERNS_15AssumptionCacheERNS_17TargetLibraryInfoERNS_19TargetTransformInfoERNS_13DominatorTreeERNS_25OptimizationRemarkEmitterEPNS_18BlockFrequencyInfoEPNS_21BranchProbabilityInfoEPNS_18ProfileSummaryInfoERKNS_18InstCombineOptionsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15InstCombinePass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:791 operator() at /source/src/jitlayers.cpp:1518 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1479 [inlined] operator() at /source/src/jitlayers.cpp:1631 [inlined] addModule at /source/src/jitlayers.cpp:2088 jl_compile_codeinst_now at /source/src/jitlayers.cpp:683 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:883 jl_compile_method_internal at /source/src/gf.c:3310 _jl_invoke at /source/src/gf.c:3790 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [inlined] jl_f_invokelatest at /source/src/builtins.c:877 profile_printing_listener at ./Base.jl:337 #start_profile_listener##0 at ./Base.jl:355 jfptr_YY.start_profile_listenerYY.YY.0_14662.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3798 [inlined] ijl_apply_generic at /source/src/gf.c:3998 jl_apply at /source/src/julia.h:2345 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 537078304 (Pool: 536817008; Big: 261296); GC: 153 PkgEval terminated after 2778.43s: test duration exceeded the time limit