Package evaluation of SDDP on Julia 1.13.0-DEV.897 (a39797a4fb*) started at 2025-07-24T18:48:29.404 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.73s ################################################################################ # 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 v1.7.1 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.27.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.42.0 [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 v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [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 4.61s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... 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Testing Running tests... [ Info: Experimental.jl Precompiling packages... 5379.4 ms ✓ JSONSchema 1 dependency successfully precompiled in 6 seconds. 23 already precompiled. [ 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 3.583100e-01 4 1 3 0.000000e+00 0.000000e+00 8.595440e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.595440e-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 2.153301e-02 9 1 20 7.500000e+04 1.075000e+05 7.198939e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.198939e-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 1.050985e+00 12 1 10 2.500000e+00 3.361111e+01 1.076215e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.076215e+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 1.105094e-02 12 1 10 2.500000e+00 3.361111e+01 3.021383e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.021383e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.227991e-03 46 1 50 0.000000e+00 1.191663e+02 4.461939e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.461939e-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 1.022792e-02 46 1 50 0.000000e+00 1.191663e+02 5.870020e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.870020e-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... 1565.6 ms ✓ Ipopt 1 dependency successfully precompiled in 2 seconds. 36 already precompiled. Precompiling packages... 48736.5 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 50 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 3.676060e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.349152e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.451584e+00 412 1 6S -6.064080e+01 -6.678327e+01 8.654641e+00 618 1 7S -6.493167e+01 -6.677772e+01 9.718821e+00 721 1 17S -6.068889e+01 -6.677644e+01 1.572428e+01 1751 1 27S -6.068889e+01 -6.677644e+01 2.159583e+01 2781 1 37S -7.668889e+01 -6.677644e+01 2.753258e+01 3811 1 47S -5.768889e+01 -6.677644e+01 3.361267e+01 4841 1 55S -4.868889e+01 -6.677644e+01 3.869018e+01 5665 1 65S -4.168889e+01 -6.677644e+01 4.444549e+01 6695 1 75S -8.368889e+01 -6.677644e+01 5.047848e+01 7725 1 85S -6.068889e+01 -6.677644e+01 5.637022e+01 8755 1 95S -6.468889e+01 -6.677644e+01 6.222941e+01 9785 1 100 -8.368889e+01 -6.677644e+01 6.461996e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.461996e+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 ------------------------------------------------------------------- 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 7.000000e+00 6.000000e+00 2.841342e+02 2 2 20 7.000000e+00 6.000000e+00 2.892154e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.892154e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.100000e+00 ± 9.633534e-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 2.622421e-01 48 1 20 9.000000e+00 6.000000e+00 4.954610e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.954610e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/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 4.538059e-03 4 1 50 0.000000e+00 0.000000e+00 2.347970e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.347970e-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... 10015.0 ms ✓ PlotThemes 8423.1 ms ✓ RecipesPipeline 100891.4 ms ✓ Plots 17225.0 ms ✓ Plots → UnitfulExt 4 dependencies successfully precompiled in 138 seconds. 176 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:1858 [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:1858 [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 6.075343e+00 5 1 20 0.000000e+00 -1.000000e+01 6.650533e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.650533e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 2.727079e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.484988e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.278684e-02 132 1 20 -2.396000e+01 -2.396000e+01 5.106997e-02 172 1 25 -5.320000e+00 -2.396000e+01 6.230378e-02 224 1 30 -5.320000e+00 -2.396000e+01 7.246280e-02 264 1 35 -2.396000e+01 -2.396000e+01 8.318901e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.500980e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.500980e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 369ms / 21.6% 12.5MiB / 62.2% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 47.0ms 58.9% 1.17ms 5.81MiB 74.7% 149KiB solve_subproblem 160 24.8ms 31.1% 155μs 828KiB 10.4% 5.18KiB get_dual_solution 160 1.33ms 1.7% 8.29μs 180KiB 2.3% 1.12KiB prepare_backward_pass 160 56.2μs 0.1% 351ns 0.00B 0.0% 0.00B forward_pass 40 23.6ms 29.6% 591μs 1.75MiB 22.5% 44.8KiB solve_subproblem 120 21.8ms 27.4% 182μs 1.58MiB 20.2% 13.4KiB get_dual_solution 120 92.0μs 0.1% 767ns 13.1KiB 0.2% 112B sample_scenario 40 345μs 0.4% 8.62μs 24.2KiB 0.3% 620B calculate_bound 40 9.12ms 11.4% 228μs 215KiB 2.7% 5.38KiB get_dual_solution 40 37.5μs 0.0% 938ns 4.38KiB 0.1% 112B get_dual_solution 36 26.9μs 0.0% 747ns 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 5.133510e-02 52 1 10 -2.396000e+01 -2.396000e+01 5.946398e-02 92 1 15 -2.396000e+01 -2.396000e+01 6.932306e-02 132 1 20 -4.260000e+01 -2.396000e+01 8.122611e-02 172 1 25 -5.320000e+00 -2.396000e+01 9.662199e-02 224 1 30 -2.396000e+01 -2.396000e+01 1.115890e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.278410e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.453691e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.453691e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 153ms / 88.5% 14.9MiB / 94.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 101ms 74.9% 2.53ms 12.1MiB 86.0% 309KiB solve_subproblem 160 25.7ms 19.0% 161μs 830KiB 5.8% 5.19KiB get_dual_solution 160 1.28ms 0.9% 8.00μs 180KiB 1.3% 1.12KiB prepare_backward_pass 160 58.4μs 0.0% 365ns 0.00B 0.0% 0.00B forward_pass 40 23.4ms 17.3% 584μs 1.75MiB 12.5% 44.8KiB solve_subproblem 120 21.3ms 15.8% 178μs 1.58MiB 11.2% 13.4KiB get_dual_solution 120 78.6μs 0.1% 655ns 13.1KiB 0.1% 112B sample_scenario 40 463μs 0.3% 11.6μs 24.3KiB 0.2% 623B calculate_bound 40 10.6ms 7.8% 265μs 217KiB 1.5% 5.42KiB get_dual_solution 40 41.7μs 0.0% 1.04μs 4.38KiB 0.0% 112B get_dual_solution 36 22.9μs 0.0% 636ns 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 1.605661e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.626000e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.635211e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.642990e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.650801e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.658089e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.665201e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.672881e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.680820e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.689200e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.697459e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.705739e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.714270e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.723170e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.732240e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.741459e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.750939e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.760390e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.769609e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.778960e-01 104 1 21 -1.000000e+00 -2.000000e+00 1.795530e-01 113 1 22 -1.000000e+00 -2.000000e+00 1.805329e-01 118 1 23 -3.000000e+00 -2.000000e+00 1.814749e-01 123 1 24 -3.000000e+00 -2.000000e+00 1.824059e-01 128 1 25 -1.000000e+00 -2.000000e+00 1.833379e-01 133 1 26 -3.000000e+00 -2.000000e+00 1.843021e-01 138 1 27 -3.000000e+00 -2.000000e+00 1.852801e-01 143 1 28 -1.000000e+00 -2.000000e+00 1.863151e-01 148 1 29 -3.000000e+00 -2.000000e+00 1.873801e-01 153 1 30 -3.000000e+00 -2.000000e+00 1.884120e-01 158 1 31 -1.000000e+00 -2.000000e+00 1.894491e-01 163 1 32 -1.000000e+00 -2.000000e+00 1.905179e-01 168 1 33 -1.000000e+00 -2.000000e+00 1.915669e-01 173 1 34 -3.000000e+00 -2.000000e+00 1.925991e-01 178 1 35 -1.000000e+00 -2.000000e+00 1.936469e-01 183 1 36 -3.000000e+00 -2.000000e+00 1.947420e-01 188 1 37 -1.000000e+00 -2.000000e+00 1.958561e-01 193 1 38 -1.000000e+00 -2.000000e+00 1.969759e-01 198 1 39 -1.000000e+00 -2.000000e+00 1.980960e-01 203 1 40 -1.000000e+00 -2.000000e+00 1.992631e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.992631e-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 2.614410e-01 51 1 24 2.178733e+02 2.251256e+02 1.277926e+00 3972 1 30 2.138334e+03 2.336430e+02 2.708047e+00 7674 1 38 8.025312e+02 2.352957e+02 3.915758e+00 10194 1 46 1.737622e+02 2.358930e+02 4.918632e+00 12054 1 59 3.340847e+02 2.361437e+02 6.126585e+00 14097 1 63 1.493193e+03 2.362190e+02 7.300888e+00 15909 1 73 3.670177e+02 2.363045e+02 8.385236e+00 17655 1 77 1.654348e+02 2.363524e+02 9.510970e+00 19191 1 100 4.969839e+02 2.364135e+02 1.382545e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.382545e+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 7.962520e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.165708e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.452791e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.740703e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.047545e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.359860e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.674746e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.001301e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.329051e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.660173e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.660173e+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 3.163371e-01 1050 1 20 -1.529197e+00 -1.471817e+00 3.931980e-01 1600 1 30 -1.410768e+00 -1.471408e+00 5.548720e-01 2650 1 40 -1.596461e+00 -1.471258e+00 6.348510e-01 3200 1 50 -1.002277e+00 -1.471216e+00 8.006611e-01 4250 1 60 -1.085156e+00 -1.471164e+00 8.871450e-01 4800 1 70 -1.391746e+00 -1.471164e+00 1.179773e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.270107e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.454712e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.560017e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.661849e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.763717e+00 9100 1 130 -1.271481e+00 -1.471075e+00 1.869336e+00 9650 1 140 -1.249746e+00 -1.471075e+00 1.971594e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.074380e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.185126e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.296587e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.403560e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.421894e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.421894e+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 1.907301e-02 54 1 20 3.336455e+05 3.402383e+05 3.001308e-02 104 1 30 3.993519e+05 3.403155e+05 4.034400e-02 158 1 40 3.337559e+05 3.403155e+05 4.997897e-02 208 1 48 3.337559e+05 3.403155e+05 5.876398e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.876398e-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 3.271294e-02 92 1 20 4.506600e+05 4.054833e+05 5.333400e-02 172 1 30 3.959476e+05 4.067125e+05 7.344103e-02 264 1 40 4.497721e+05 4.067125e+05 9.237194e-02 344 1 47 3.959476e+05 4.067125e+05 1.073442e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.073442e-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 5.445563e+00 14 1 40 2.308500e+03 4.074139e+03 6.181747e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.181747e+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 1.906522e+00 8 1 6L 4.000000e+04 6.250000e+04 2.928348e+00 60 1 16L 6.000000e+04 6.250000e+04 4.112038e+00 140 1 20L 6.000000e+04 6.250000e+04 4.760892e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.760892e+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 1.411319e-02 8 1 16 4.000000e+04 6.250000e+04 1.029318e+00 140 1 20 4.000000e+04 6.250000e+04 1.278255e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.278255e+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 6.348109e-02 5 1 10 4.000000e+04 6.250000e+04 6.782169e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.782169e-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 2.481210e-01 6 1 20L 9.000000e+00 9.000000e+00 3.351610e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.351610e-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 1.024650e+00 87 1 10 -1.109375e+01 2.605769e-01 1.037107e+00 142 1 15 3.105797e+00 5.434132e-01 1.050159e+00 197 1 20 -2.463349e+01 1.503415e+00 1.063385e+00 252 1 25 -1.421085e-14 1.514085e+00 1.077368e+00 307 1 30 4.864000e+01 1.514085e+00 2.979000e+00 394 1 35 4.864000e+01 1.514085e+00 2.991850e+00 449 1 40 -8.870299e+00 1.514085e+00 3.006320e+00 504 1 45 -1.428571e+00 1.514085e+00 3.020668e+00 559 1 48 -1.428571e+00 1.514085e+00 3.030179e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.030179e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 8.466051e-01 278 1 20 1.440356e+01 1.278425e+00 8.820171e-01 428 1 30 8.388546e+00 1.278425e+00 9.434552e-01 706 1 40 6.666667e-03 1.278410e+00 9.799511e-01 856 1 50 -5.614035e+00 1.278410e+00 1.043622e+00 1134 1 60 1.426676e+01 1.278410e+00 1.088234e+00 1284 1 64 1.261296e+01 1.278410e+00 1.106811e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.106811e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 8.037996e-02 278 1 20 1.111084e+01 1.278410e+00 1.289101e-01 428 1 30 2.293779e+01 1.278410e+00 2.042480e-01 706 1 40 1.426676e+01 1.278410e+00 2.823260e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.823260e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 5.258149e+00 900 1 20 6.374753e+00 1.361934e+01 5.589785e+00 1720 1 30 2.848217e+01 1.624016e+01 6.407469e+00 3036 1 40 1.973944e+01 1.776547e+01 7.365826e+00 4192 1 50 4.000000e+00 1.889360e+01 8.126094e+00 5020 1 60 1.142478e+01 1.907862e+01 9.009241e+00 5808 1 70 9.386421e+00 1.961295e+01 9.853016e+00 6540 1 80 5.667851e+01 1.890911e+01 1.053733e+01 7088 1 90 3.740597e+01 1.993139e+01 1.202118e+01 8180 1 100 9.867183e+00 2.001688e+01 1.269593e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.269593e+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 2.753641e+00 36 1 10 0.000000e+00 0.000000e+00 2.795123e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.795123e+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 6.157875e-03 407 1 10 2.850000e+02 5.728212e+02 6.062984e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.062984e-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 6.170988e-03 778 1 10 2.825000e+02 3.465177e+02 6.243706e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.243706e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 7.160902e-03 1149 1 10 2.587500e+02 2.052799e+02 5.761194e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.761194e-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 7.117987e-03 1520 1 10 2.875000e+02 4.661908e+02 6.393695e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.393695e-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 7.554054e-03 1891 1 10 1.000000e+02 1.129771e+02 6.735992e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.735992e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 7.872105e-03 2262 1 10 1.625000e+02 2.794553e+02 6.374502e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.374502e-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 6.974936e-03 2633 1 10 5.487500e+02 4.077574e+02 6.725597e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.725597e-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 7.931948e-03 3004 1 10 6.771875e+02 5.210100e+02 6.762981e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.762981e-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 6.843805e-03 3375 1 10 5.312500e+01 5.938345e+01 5.746984e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.746984e-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 1.266742e+00 235 1 10 1.000000e+01 9.159200e+00 1.712750e+00 310 1 15 1.000000e+01 9.159200e+00 2.195785e+00 385 1 20 1.000000e+01 9.159200e+00 2.678754e+00 460 1 25 1.000000e+01 9.159200e+00 5.429792e+00 695 1 30 4.000000e+00 9.159200e+00 5.914324e+00 770 1 35 1.000000e+01 9.159200e+00 6.379868e+00 845 1 40 1.000000e+01 9.159200e+00 6.918745e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.918745e+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 1.322004e+00 510 1 20 1.000000e+01 6.834387e+00 2.984451e+00 720 1 30 7.000000e+00 6.834387e+00 6.882530e+00 1230 1 40 1.000000e+01 6.823805e+00 8.492495e+00 1440 1 50 3.000000e+00 6.823805e+00 1.254952e+01 1950 1 60 2.000000e+00 6.823805e+00 1.417247e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.417247e+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 1.196628e+01 920 1 20 6.049875e+06 2.075240e+06 1.450331e+01 1340 1 30 5.496647e+05 2.078257e+06 2.740141e+01 2260 1 40 3.985383e+04 2.078257e+06 3.017244e+01 2680 1 50 2.994548e+05 2.078257e+06 4.286168e+01 3600 1 60 3.799457e+06 2.078257e+06 4.515921e+01 4020 1 61 3.549665e+06 2.078257e+06 4.538269e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.538269e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.312676e+01 920 1 20L 2.799668e+06 2.079457e+06 5.447964e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.653714e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.069620e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.069620e+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 2.024903e+00 1914 1 200 0.000000e+00 1.191645e+02 2.371649e+00 3840 1 300 7.500000e+01 1.191666e+02 2.732069e+00 5738 1 328 2.500000e+00 1.191667e+02 2.806214e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.806214e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 6.273441e-01 2806 1 200 0.000000e+00 1.191666e+02 1.069881e+00 4749 1 287 5.000000e+00 1.191667e+02 1.472984e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.472984e+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 1.306670e-01 1033 1 20 8.000000e+00 2.000000e+01 1.586261e-01 1209 1 30 1.200000e+01 2.000000e+01 2.916129e-01 2304 1 40 3.000000e+01 2.000000e+01 3.935430e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.935430e-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 5.514860e-03 3 1 40 2.000000e+00 2.000000e+00 9.566998e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.566998e-02 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 7.445829e-01 1350 1 20 5.062500e+00 4.110713e+00 9.087241e-01 2700 1 30 4.500000e+00 4.104200e+00 1.090662e+00 4050 1 40 3.812500e+00 4.102669e+00 1.288595e+00 5400 1 50 4.725000e+00 4.095504e+00 1.496668e+00 6750 1 60 4.050000e+00 4.092999e+00 1.692351e+00 8100 1 70 4.606250e+00 4.091524e+00 1.884282e+00 9450 1 80 3.875000e+00 4.089694e+00 2.095820e+00 10800 1 90 3.750000e+00 4.089490e+00 2.342529e+00 12150 1 100 5.125000e+00 4.087894e+00 2.592103e+00 13500 1 110 4.500000e+00 4.087478e+00 2.829996e+00 14850 1 120 3.650000e+00 4.086704e+00 3.081546e+00 16200 1 130 4.406250e+00 4.086063e+00 3.347160e+00 17550 1 140 3.375000e+00 4.085981e+00 3.600649e+00 18900 1 150 3.000000e+00 4.085945e+00 3.868073e+00 20250 1 160 3.812500e+00 4.085838e+00 4.136404e+00 21600 1 170 4.250000e+00 4.085728e+00 4.402135e+00 22950 1 180 3.243750e+00 4.085593e+00 4.678817e+00 24300 1 190 4.306250e+00 4.085487e+00 5.017175e+00 25650 1 200 5.237500e+00 4.085446e+00 5.296534e+00 27000 1 210 4.500000e+00 4.085441e+00 5.576532e+00 28350 1 220 3.612500e+00 4.085405e+00 5.861200e+00 29700 1 230 3.700000e+00 4.085382e+00 6.131851e+00 31050 1 240 3.437500e+00 4.085254e+00 6.374855e+00 32400 1 250 4.100000e+00 4.085115e+00 6.626956e+00 33750 1 260 3.000000e+00 4.084973e+00 6.896270e+00 35100 1 270 4.918750e+00 4.084943e+00 7.159028e+00 36450 1 280 2.756250e+00 4.084920e+00 7.432001e+00 37800 1 290 3.737500e+00 4.084868e+00 7.700242e+00 39150 1 300 5.750000e+00 4.084868e+00 7.973257e+00 40500 1 310 5.156250e+00 4.084858e+00 8.230360e+00 41850 1 320 3.131250e+00 4.084855e+00 8.528332e+00 43200 1 330 4.125000e+00 4.084846e+00 8.805139e+00 44550 1 340 5.875000e+00 4.084820e+00 9.053335e+00 45900 1 350 4.587500e+00 4.084810e+00 9.339368e+00 47250 1 360 5.087500e+00 4.084805e+00 9.641615e+00 48600 1 370 4.393750e+00 4.084802e+00 9.940276e+00 49950 1 380 4.750000e+00 4.084792e+00 1.022830e+01 51300 1 390 4.437500e+00 4.084785e+00 1.052035e+01 52650 1 400 4.181250e+00 4.084785e+00 1.081560e+01 54000 1 410 3.650000e+00 4.084777e+00 1.118429e+01 55350 1 420 3.750000e+00 4.084769e+00 1.147271e+01 56700 1 430 3.725000e+00 4.084762e+00 1.174731e+01 58050 1 440 4.218750e+00 4.084751e+00 1.202240e+01 59400 1 450 5.500000e+00 4.084751e+00 1.230058e+01 60750 1 460 3.637500e+00 4.084747e+00 1.257319e+01 62100 1 470 2.993750e+00 4.084743e+00 1.284959e+01 63450 1 480 5.237500e+00 4.084743e+00 1.313878e+01 64800 1 490 4.212500e+00 4.084743e+00 1.344318e+01 66150 1 500 3.843750e+00 4.084743e+00 1.374607e+01 67500 1 510 3.425000e+00 4.084743e+00 1.401606e+01 68850 1 520 4.293750e+00 4.084743e+00 1.429013e+01 70200 1 530 2.818750e+00 4.084740e+00 1.458756e+01 71550 1 540 4.668750e+00 4.084740e+00 1.486816e+01 72900 1 550 2.750000e+00 4.084740e+00 1.515371e+01 74250 1 560 4.100000e+00 4.084740e+00 1.546537e+01 75600 1 570 3.200000e+00 4.084738e+00 1.577832e+01 76950 1 580 3.525000e+00 4.084738e+00 1.607344e+01 78300 1 590 3.125000e+00 4.084738e+00 1.636267e+01 79650 1 600 4.875000e+00 4.084736e+00 1.668390e+01 81000 1 610 4.050000e+00 4.084736e+00 1.698405e+01 82350 1 620 4.750000e+00 4.084733e+00 1.729762e+01 83700 1 630 3.687500e+00 4.084733e+00 1.760363e+01 85050 1 640 3.875000e+00 4.084733e+00 1.794811e+01 86400 1 650 3.625000e+00 4.084733e+00 1.823527e+01 87750 1 660 3.500000e+00 4.084732e+00 1.857078e+01 89100 1 670 4.875000e+00 4.084732e+00 1.892053e+01 90450 1 680 3.925000e+00 4.084732e+00 1.920027e+01 91800 1 690 3.900000e+00 4.084732e+00 1.947893e+01 93150 1 700 4.812500e+00 4.084732e+00 1.977369e+01 94500 1 707 4.237500e+00 4.084732e+00 2.001159e+01 95445 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001159e+01 total solves : 95445 best bound : 4.084732e+00 simulation ci : 4.070783e+00 ± 5.655817e-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 3.300000e+00 4.648581e+00 4.293931e-01 1350 1 20 2.862500e+00 4.054300e+00 1.132248e+00 2700 1 30 3.500000e+00 4.043470e+00 2.223018e+00 4050 1 40 2.900000e+00 4.038756e+00 3.520038e+00 5400 1 50 5.100000e+00 4.038391e+00 5.173945e+00 6750 1 60 3.750000e+00 4.038215e+00 7.077515e+00 8100 1 70 4.362500e+00 4.038129e+00 9.156484e+00 9450 1 80 2.950000e+00 4.038120e+00 1.159959e+01 10800 1 90 5.425000e+00 4.038114e+00 1.421742e+01 12150 1 100 5.250000e+00 4.037954e+00 1.858573e+01 13500 1 104 4.012500e+00 4.037958e+00 2.004801e+01 14040 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.004801e+01 total solves : 14040 best bound : 4.037958e+00 simulation ci : 4.094171e+00 ± 1.519653e-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 1.556080e+01 1680 1 20 2.078810e+00 1.166281e+00 1.677293e+01 2560 1 30 3.973033e+00 1.166907e+00 1.820273e+01 3440 1 40 3.706337e+00 1.167312e+00 3.142643e+01 5120 1 50 3.158565e+00 1.167416e+00 3.278192e+01 6000 1 60 3.642642e+00 1.167416e+00 4.821552e+01 7680 1 70 3.451253e+00 1.167416e+00 4.987338e+01 8560 1 71 2.984727e+00 1.167416e+00 5.000136e+01 8648 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.000136e+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 6.585810e-01 78 1 20 -4.000000e+01 -5.809615e+01 1.379993e+00 148 1 30 -4.000000e+01 -5.809615e+01 2.244182e+00 226 1 40 -4.700000e+01 -5.809615e+01 3.003008e+00 296 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.003008e+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 8.048611e-01 138 1 20 -4.000000e+01 -6.196125e+01 1.572839e+00 258 1 30 -7.500000e+01 -6.196125e+01 2.655833e+00 396 1 40 -4.000000e+01 -6.196125e+01 3.394872e+00 516 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.394872e+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 1.318405e+00 462 1 20 -5.600000e+01 -6.546793e+01 2.115384e+00 852 1 30 -4.000000e+01 -6.546793e+01 4.309391e+00 1314 1 40 -4.000000e+01 -6.546793e+01 5.047423e+00 1704 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.047423e+00 total solves : 1704 best bound : -6.546793e+01 simulation ci : -5.991250e+01 ± 5.174250e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: stochastic_all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 2.70000e+01 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, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [4, 4] 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 1.200000e+01 6.788871e-01 11 1 7L 6.000000e+00 8.000000e+00 1.826732e+00 158 1 12L 6.000000e+00 8.000000e+00 2.878095e+00 213 1 17L 6.000000e+00 8.000000e+00 3.937140e+00 268 1 21L 1.200000e+01 8.000000e+00 5.426762e+00 393 1 26L 6.000000e+00 8.000000e+00 6.437725e+00 448 1 31L 1.200000e+01 8.000000e+00 7.518741e+00 503 1 36L 6.000000e+00 8.000000e+00 8.661748e+00 558 1 40L 6.000000e+00 8.000000e+00 9.532074e+00 602 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.532074e+00 total solves : 602 best bound : 8.000000e+00 simulation ci : 8.475000e+00 ± 8.904404e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: the_farmers_problem.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 3 scenarios : 3.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 19] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 16] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 2e+01] objective range [1e+00, 1e+03] bounds range [6e+03, 5e+05] rhs range [2e+02, 5e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -9.800000e+04 4.922260e+05 7.259691e-01 6 1 40 1.093500e+05 1.083900e+05 7.855361e-01 240 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.855361e-01 total solves : 240 best bound : 1.083900e+05 simulation ci : 9.772505e+04 ± 1.969816e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: vehicle_location.jl Test Summary: | Pass Fail Total Time SDDP.jl | 2399 2 2401 33m54.6s Experimental.jl | 35 35 4m25.0s MSPFormat.jl | 51 51 18.3s algorithm.jl | 40 40 1m21.7s binary_expansion.jl | 38 38 3.6s deterministic_equivalent.jl | 21 21 41.2s modeling_aids.jl | 47 47 17.7s user_interface.jl | 123 123 59.2s backward_sampling_schemes.jl | 1203 1203 5.6s bellman_functions.jl | 45 45 58.5s duality_handlers.jl | 336 336 2m54.8s forward_passes.jl | 34 34 14.2s local_improvement_search.jl | 12 12 15.8s parallel_schemes.jl | 19 19 7m26.2s risk_measures.jl | 91 91 12.4s sampling_schemes.jl | 158 158 24.7s stopping_rules.jl | 40 40 15.2s threaded.jl | 0 0.3s value_functions.jl | 28 28 22.2s visualization.jl | 9 2 11 4m17.7s test_PublicationPlot | 5 5 18.2s test_PublicationPlot_different_lengths | 1 1 0.8s test_SpaghettiPlot | 3 2 5 1m12.4s FAST_hydro_thermal.jl | 3 3 13.8s FAST_production_management.jl | 2 2 3.8s FAST_quickstart.jl | 2 2 1.4s Hydro_thermal.jl | 0 19.4s StochDynamicProgramming.jl_multistock.jl | 3 3 12.9s StochDynamicProgramming.jl_stock.jl | 3 3 4.3s StructDualDynProg.jl_prob5.2_2stages.jl | 1 1 3.7s StructDualDynProg.jl_prob5.2_3stages.jl | 2 2 2.4s agriculture_mccardle_farm.jl | 2 2 12.8s air_conditioning.jl | 6 6 8.5s air_conditioning_forward.jl | 2 2 2.2s all_blacks.jl | 1 1 1.8s asset_management_simple.jl | 1 1 4.7s asset_management_stagewise.jl | 2 2 3.8s belief.jl | 1 1 18.5s biobjective_hydro.jl | 10 10 7.0s booking_management.jl | 2 2 29.3s generation_expansion.jl | 2 2 2m55.9s hydro_valley.jl | 9 9 11.0s infinite_horizon_hydro_thermal.jl | 4 4 7.6s infinite_horizon_trivial.jl | 1 1 1.4s no_strong_duality.jl | 1 1 1.3s objective_state_newsvendor.jl | 4 4 50.3s sldp_example_one.jl | 1 1 1m05.4s sldp_example_two.jl | 3 3 16.3s stochastic_all_blacks.jl | 1 1 13.8s the_farmers_problem.jl | 0 5.8s vehicle_location.jl | 0 0.1s RNG of the outermost testset: Xoshiro(0x8f4ff2b266a7ea86, 0x773f1711c673b839, 0xf8e26750389c83c7, 0x2abba9c810893869, 0xfc9ae0f148d230f3) ERROR: LoadError: Some tests did not pass: 2399 passed, 2 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:24 Testing failed after 1977.71s ERROR: LoadError: Package SDDP errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2661 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2510 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:538 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:168 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [7] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:155 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:311 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [12] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2137.77s: package has test failures