Package evaluation of SDDP on Julia 1.13.0-DEV.449 (8d6b63c3a6*) started at 2025-04-29T04:16:24.700 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.38s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed IrrationalConstants ── v0.2.4 Installed DiffResults ────────── v1.1.0 Installed LoggingExtras ──────── v1.1.0 Installed DiffRules ──────────── v1.15.1 Installed JSON ───────────────── v0.21.4 Installed JSON3 ──────────────── v1.14.2 Installed MutableArithmetics ─── v1.6.4 Installed Preferences ────────── v1.4.3 Installed BitFlags ───────────── v0.1.9 Installed Bzip2_jll ──────────── v1.0.9+0 Installed CodecBzip2 ─────────── v0.8.5 Installed SimpleBufferStream ─── v1.2.0 Installed Parsers ────────────── v2.8.3 Installed SpecialFunctions ───── v2.5.1 Installed BenchmarkTools ─────── v1.6.0 Installed RecipesBase ────────── v1.3.4 Installed NaNMath ────────────── v1.1.3 Installed ConcurrentUtilities ── v2.5.0 Installed TimerOutputs ───────── v0.5.28 Installed JLLWrappers ────────── v1.7.0 Installed StaticArraysCore ───── v1.4.3 Installed PrecompileTools ────── v1.3.2 Installed URIs ───────────────── v1.5.2 Installed OpenSSL ────────────── v1.4.3 Installed OrderedCollections ─── v1.8.0 Installed TranscodingStreams ─── v0.11.3 Installed HTTP ───────────────── v1.10.16 Installed Reexport ───────────── v1.2.2 Installed ForwardDiff ────────── v1.0.1 Installed Statistics ─────────── v1.11.1 Installed MbedTLS ────────────── v1.1.9 Installed CommonSubexpressions ─ v0.3.1 Installed JuMP ───────────────── v1.25.0 Installed DataStructures ─────── v0.18.22 Installed MbedTLS_jll ────────── v2.28.6+2 Installed ExprTools ──────────── v0.1.10 Installed LogExpFunctions ────── v0.3.29 Installed MacroTools ─────────── v0.5.16 Installed Compat ─────────────── v4.16.0 Installed OpenSpecFun_jll ────── v0.5.6+0 Installed CodecZlib ──────────── v0.7.8 Installed StructTypes ────────── v1.11.0 Installed ExceptionUnwrapping ── v0.1.11 Installed DocStringExtensions ── v0.9.4 Installed SDDP ───────────────── v1.11.0 Installed MathOptInterface ───── v1.39.0 Installing 3 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact Bzip2 503.5 KiB Installed artifact MbedTLS 2.1 MiB Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.11.0 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 v4.16.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.4 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [cd3eb016] + HTTP v1.10.16 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.2 [4076af6c] + JuMP v1.25.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.39.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.4.3 [bac558e1] + OrderedCollections v1.8.0 [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 v1.11.0 [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 v0.5.28 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.5.2 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 Installation completed after 9.65s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 5719.4 ms ✓ TestEnv 1 dependency successfully precompiled in 6 seconds. 25 already precompiled. Precompiling package dependencies... Precompilation completed after 915.8s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_e4p0xp/Project.toml` [87dc4568] HiGHS v1.15.0 [b6b21f68] Ipopt v1.10.2 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.13 [f4570300] SDDP v1.11.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.12.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_e4p0xp/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.29.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.0 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/EWTpZ/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 3.657930e-01 4 1 3 0.000000e+00 0.000000e+00 8.436050e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.436050e-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 1.990795e-02 9 1 20 7.500000e+04 1.075000e+05 6.446190e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.446190e-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/EWTpZ/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/EWTpZ/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/EWTpZ/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 1.121959e+00 12 1 10 2.500000e+00 3.361111e+01 1.143154e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.143154e+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 1.185393e-02 12 1 10 2.500000e+00 3.361111e+01 3.282309e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.282309e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.000404e-02 46 1 50 0.000000e+00 1.191663e+02 4.825912e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.825912e-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 8.792877e-03 46 1 50 0.000000e+00 1.191663e+02 4.541540e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.541540e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 3.875326e+00 103 1 3S -5.785826e+01 -6.755367e+01 5.765572e+00 309 1 13S -3.268889e+01 -6.677644e+01 6.812564e+00 1339 1 19S -4.168889e+01 -6.677644e+01 8.137491e+00 1957 1 25S -4.168889e+01 -6.677644e+01 9.451796e+00 2575 1 49S -6.068889e+01 -6.677644e+01 1.480619e+01 5047 1 71S -3.268889e+01 -6.677644e+01 1.984383e+01 7313 1 95S -6.468889e+01 -6.677644e+01 2.525458e+01 9785 1 100 -8.368889e+01 -6.677644e+01 2.617367e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.617367e+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/EWTpZ/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 3.000000e+00 6.000000e+00 3.193279e+02 2 3 20 7.000000e+00 6.000000e+00 3.234489e+02 40 4 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.234489e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.204205e-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/EWTpZ/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 2.704329e-01 48 1 20 9.000000e+00 6.000000e+00 5.102201e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.102201e-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/EWTpZ/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/EWTpZ/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/EWTpZ/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 4.796028e-03 4 1 50 0.000000e+00 0.000000e+00 2.548280e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.548280e-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/EWTpZ/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/EWTpZ/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/EWTpZ/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/EWTpZ/test/visualization/visualization.jl:51 [ 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 6.181546e+00 5 1 20 0.000000e+00 -1.000000e+01 6.799385e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.799385e+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 2.025485e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.754402e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.523803e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.308581e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.429196e-02 224 1 30 -5.320000e+00 -2.396000e+01 6.564593e-02 264 1 35 -2.396000e+01 -2.396000e+01 7.865596e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.199500e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.199500e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 5.16s / 1.6% 64.8MiB / 12.2% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 48.7ms 59.9% 1.22ms 5.86MiB 74.4% 150KiB solve_subproblem 160 24.6ms 30.3% 154μs 934KiB 11.6% 5.84KiB get_dual_solution 160 1.38ms 1.7% 8.60μs 190KiB 2.4% 1.19KiB prepare_backward_pass 160 84.1μs 0.1% 526ns 0.00B 0.0% 0.00B forward_pass 40 21.9ms 26.9% 547μs 1.74MiB 22.1% 44.5KiB solve_subproblem 120 19.2ms 23.7% 160μs 1.56MiB 19.8% 13.3KiB get_dual_solution 120 111μs 0.1% 925ns 13.1KiB 0.2% 112B sample_scenario 40 516μs 0.6% 12.9μs 24.2KiB 0.3% 620B calculate_bound 40 10.7ms 13.2% 269μs 281KiB 3.5% 7.02KiB get_dual_solution 40 47.6μs 0.1% 1.19μs 4.38KiB 0.1% 112B get_dual_solution 36 22.2μs 0.0% 618ns 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 5.380011e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.173801e-02 92 1 15 -2.396000e+01 -2.396000e+01 7.159209e-02 132 1 20 -4.260000e+01 -2.396000e+01 8.266115e-02 172 1 25 -5.320000e+00 -2.396000e+01 9.679508e-02 224 1 30 -2.396000e+01 -2.396000e+01 1.106510e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.262941e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.431091e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.431091e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 152ms / 87.6% 15.1MiB / 94.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 100ms 75.3% 2.50ms 12.1MiB 85.7% 311KiB solve_subproblem 160 24.4ms 18.3% 152μs 940KiB 6.5% 5.88KiB get_dual_solution 160 1.28ms 1.0% 7.99μs 190KiB 1.3% 1.19KiB prepare_backward_pass 160 67.9μs 0.1% 425ns 0.00B 0.0% 0.00B forward_pass 40 21.8ms 16.4% 545μs 1.74MiB 12.3% 44.5KiB solve_subproblem 120 19.6ms 14.7% 163μs 1.56MiB 11.0% 13.3KiB get_dual_solution 120 91.6μs 0.1% 763ns 13.1KiB 0.1% 112B sample_scenario 40 434μs 0.3% 10.9μs 24.3KiB 0.2% 623B calculate_bound 40 11.0ms 8.3% 276μs 291KiB 2.0% 7.27KiB get_dual_solution 40 44.8μs 0.0% 1.12μs 4.38KiB 0.0% 112B get_dual_solution 36 21.9μs 0.0% 608ns 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 2.094378e-01 5 1 2 -2.500000e+00 -2.000000e+00 2.110159e-01 14 1 3 -1.000000e+00 -2.000000e+00 2.117999e-01 19 1 4 -1.000000e+00 -2.000000e+00 2.124288e-01 24 1 5 -1.000000e+00 -2.000000e+00 2.130580e-01 29 1 6 -3.000000e+00 -2.000000e+00 2.136509e-01 34 1 7 -1.000000e+00 -2.000000e+00 2.144148e-01 39 1 8 -1.000000e+00 -2.000000e+00 2.151499e-01 44 1 9 -3.000000e+00 -2.000000e+00 2.159309e-01 49 1 10 -1.000000e+00 -2.000000e+00 2.166579e-01 54 1 11 -3.000000e+00 -2.000000e+00 2.174230e-01 59 1 12 -3.000000e+00 -2.000000e+00 2.182248e-01 64 1 13 -1.000000e+00 -2.000000e+00 2.190118e-01 69 1 14 -1.000000e+00 -2.000000e+00 2.197578e-01 74 1 15 -3.000000e+00 -2.000000e+00 2.205019e-01 79 1 16 -1.000000e+00 -2.000000e+00 2.213030e-01 84 1 17 -3.000000e+00 -2.000000e+00 2.221630e-01 89 1 18 -3.000000e+00 -2.000000e+00 2.230008e-01 94 1 19 -1.000000e+00 -2.000000e+00 2.238369e-01 99 1 20 -3.000000e+00 -2.000000e+00 2.246490e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.261510e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.270679e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.279990e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.288988e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.298110e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.307379e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.316890e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.326608e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.336318e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.346048e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.356188e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.366588e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.377388e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.388170e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.399738e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.410738e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.421579e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.433259e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.445529e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.457058e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.457058e-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 2.771220e-01 51 1 25 1.560330e+02 2.260386e+02 1.324581e+00 4203 1 30 2.138334e+03 2.336430e+02 2.610495e+00 7674 1 38 8.025312e+02 2.352957e+02 3.709405e+00 10194 1 49 1.030186e+02 2.359465e+02 4.774385e+00 12495 1 60 4.050355e+01 2.361589e+02 5.786005e+00 14148 1 63 1.493193e+03 2.362190e+02 7.036690e+00 15909 1 72 1.044387e+02 2.362973e+02 8.094045e+00 17364 1 76 3.050305e+02 2.363467e+02 9.359037e+00 18936 1 100 4.969839e+02 2.364135e+02 1.379051e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.379051e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 8.105550e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.070198e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.335185e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.611125e+00 5600 1 50 -4.167321e+00 -4.364999e+00 1.895544e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.183893e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.475979e+00 9800 1 80 -4.861568e+00 -4.353006e+00 2.775825e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.047823e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.321528e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.321528e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325071e+00 ± 8.068858e-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 3.874838e-01 1050 1 20 -1.529197e+00 -1.471817e+00 4.573560e-01 1600 1 30 -1.410768e+00 -1.471408e+00 6.788518e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.505469e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.079309e-01 4250 1 60 -1.085156e+00 -1.471164e+00 9.899700e-01 4800 1 70 -1.391746e+00 -1.471164e+00 1.163544e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.254801e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.440996e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.544629e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.640825e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.742075e+00 9100 1 130 -1.271481e+00 -1.471075e+00 1.839363e+00 9650 1 140 -1.249746e+00 -1.471075e+00 1.939990e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.039442e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.141309e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.240517e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.340604e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.360349e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.360349e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 2.279806e-02 54 1 20 3.336455e+05 3.402383e+05 3.686285e-02 104 1 30 3.993519e+05 3.403155e+05 4.903793e-02 158 1 40 3.337559e+05 3.403155e+05 5.979490e-02 208 1 48 3.337559e+05 3.403155e+05 6.952906e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.952906e-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 3.349996e-02 92 1 20 4.506600e+05 4.054833e+05 5.537891e-02 172 1 30 3.959476e+05 4.067125e+05 7.382703e-02 264 1 40 4.497721e+05 4.067125e+05 9.072495e-02 344 1 47 3.959476e+05 4.067125e+05 1.051850e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.051850e-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 5.060037e+00 14 1 40 2.308500e+03 4.074139e+03 5.713933e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.713933e+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 1.787762e+00 8 1 20L 6.000000e+04 6.250000e+04 2.540184e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.540184e+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 1.281095e-02 8 1 20 4.000000e+04 6.250000e+04 3.363860e-01 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.363860e-01 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 3.640294e-02 5 1 10 4.000000e+04 6.250000e+04 2.817788e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.817788e-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 2.764471e-01 6 1 20L 9.000000e+00 9.000000e+00 3.317511e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.317511e-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 7.342951e-01 87 1 10 -1.109375e+01 2.605769e-01 7.410910e-01 142 1 15 3.105797e+00 5.434132e-01 7.496202e-01 197 1 20 -2.463349e+01 1.503415e+00 7.575471e-01 252 1 25 -1.421085e-14 1.514085e+00 7.648571e-01 307 1 30 4.864000e+01 1.514085e+00 2.225045e+00 394 1 35 4.864000e+01 1.514085e+00 2.232709e+00 449 1 40 -8.870299e+00 1.514085e+00 2.242397e+00 504 1 45 -1.428571e+00 1.514085e+00 2.251064e+00 559 1 48 -1.428571e+00 1.514085e+00 2.257045e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.257045e+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 7.141311e-01 278 1 20 1.440356e+01 1.278425e+00 7.353680e-01 428 1 30 8.388546e+00 1.278425e+00 7.713029e-01 706 1 40 6.666667e-03 1.278410e+00 7.934492e-01 856 1 50 -5.614035e+00 1.278410e+00 8.369181e-01 1134 1 60 1.426676e+01 1.278410e+00 8.649740e-01 1284 1 64 1.261296e+01 1.278410e+00 8.792729e-01 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.792729e-01 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 6.289601e-02 278 1 20 1.111084e+01 1.278410e+00 9.496713e-02 428 1 30 2.293779e+01 1.278410e+00 1.525800e-01 706 1 40 1.426676e+01 1.278410e+00 2.054529e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.054529e-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 5.569678e+00 900 1 20 6.374753e+00 1.361934e+01 5.988979e+00 1720 1 30 2.848217e+01 1.624016e+01 6.764312e+00 3036 1 40 1.973944e+01 1.776547e+01 7.714701e+00 4192 1 50 4.000000e+00 1.889360e+01 8.481059e+00 5020 1 60 1.143524e+01 1.907862e+01 9.386236e+00 5808 1 70 9.386174e+00 1.961343e+01 1.026615e+01 6540 1 80 5.667808e+01 1.890971e+01 1.093295e+01 7088 1 90 3.740638e+01 1.993168e+01 1.246091e+01 8180 1 100 9.867073e+00 2.001710e+01 1.315777e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.315777e+01 total solves : 8664 best bound : 2.001710e+01 simulation ci : 2.301353e+01 ± 4.670835e+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 2.965865e+00 36 1 10 0.000000e+00 0.000000e+00 3.002350e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.002350e+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 6.167889e-03 407 1 10 2.850000e+02 5.728212e+02 5.787587e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.787587e-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 6.300926e-03 778 1 10 2.825000e+02 3.465177e+02 6.050301e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.050301e-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, 19] 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 2.006818e+02 6.246090e-03 1149 1 10 2.587500e+02 2.052799e+02 5.616212e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.616212e-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 7.232189e-03 1520 1 10 2.875000e+02 4.661908e+02 6.238508e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.238508e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 8.063793e-03 1891 1 10 1.000000e+02 1.129771e+02 5.552197e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.552197e-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 6.164074e-03 2262 1 10 1.625000e+02 2.794553e+02 5.732894e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.732894e-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, 38] 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 6.762028e-03 2633 1 10 5.487500e+02 4.077574e+02 5.938601e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.938601e-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 7.028103e-03 3004 1 10 6.771875e+02 5.210100e+02 7.623410e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.623410e-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 5.974054e-03 3375 1 10 5.312500e+01 5.938345e+01 5.017304e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.017304e-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 9.840090e-01 235 1 10 1.000000e+01 9.159200e+00 1.133999e+00 310 1 15 1.000000e+01 9.159200e+00 1.298103e+00 385 1 20 1.000000e+01 9.159200e+00 1.461406e+00 460 1 25 1.000000e+01 9.159200e+00 2.261307e+00 695 1 30 4.000000e+00 9.159200e+00 2.407990e+00 770 1 35 1.000000e+01 9.159200e+00 2.559259e+00 845 1 40 1.000000e+01 9.159200e+00 2.734026e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.734026e+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 5.075510e-01 510 1 20 1.000000e+01 6.834387e+00 9.969819e-01 720 1 30 7.000000e+00 6.834387e+00 2.178534e+00 1230 1 40 1.000000e+01 6.823805e+00 2.707514e+00 1440 1 50 3.000000e+00 6.823805e+00 3.963527e+00 1950 1 60 2.000000e+00 6.823805e+00 4.466527e+00 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.466527e+00 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 5.717100e+00 920 1 20 6.049875e+06 2.075240e+06 7.494231e+00 1340 1 30 5.496647e+05 2.078257e+06 1.337721e+01 2260 1 40 3.985383e+04 2.078257e+06 1.510727e+01 2680 1 50 2.994548e+05 2.078257e+06 2.101050e+01 3600 1 60 3.799457e+06 2.078257e+06 2.276349e+01 4020 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.276349e+01 total solves : 4020 best bound : 2.078257e+06 simulation ci : 2.419054e+06 ± 5.154891e+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 1.299572e+06 2.079330e+06 1.169897e+01 920 1 20L 3.984407e+04 2.079401e+06 2.012942e+01 1340 1 30L 5.495606e+05 2.079457e+06 3.200211e+01 2260 1 40L 3.799861e+06 2.079457e+06 4.042483e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.042483e+01 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.720973e+06 ± 5.166660e+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 2.486681e+00 1914 1 200 0.000000e+00 1.191645e+02 2.850649e+00 3840 1 300 7.500000e+01 1.191666e+02 3.224828e+00 5738 1 328 2.500000e+00 1.191667e+02 3.290910e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.290910e+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 5.926728e-01 2806 1 200 0.000000e+00 1.191666e+02 1.052576e+00 4749 1 287 5.000000e+00 1.191667e+02 1.377667e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.377667e+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 9.498906e-02 1033 1 20 8.000000e+00 2.000000e+01 1.179440e-01 1209 1 30 1.200000e+01 2.000000e+01 2.282231e-01 2304 1 40 3.000000e+01 2.000000e+01 3.038712e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.038712e-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 4.970074e-03 3 1 40 2.000000e+00 2.000000e+00 6.888103e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.888103e-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 6.676941e-01 1350 1 20 5.062500e+00 4.110713e+00 8.266480e-01 2700 1 30 4.500000e+00 4.104200e+00 1.002569e+00 4050 1 40 3.812500e+00 4.102669e+00 1.182738e+00 5400 1 50 4.725000e+00 4.095504e+00 1.477015e+00 6750 1 60 4.050000e+00 4.092999e+00 1.671664e+00 8100 1 70 4.606250e+00 4.091524e+00 1.871606e+00 9450 1 80 3.875000e+00 4.089694e+00 2.066554e+00 10800 1 90 3.750000e+00 4.089490e+00 2.275101e+00 12150 1 100 5.125000e+00 4.087894e+00 2.474562e+00 13500 1 110 4.500000e+00 4.087478e+00 2.686014e+00 14850 1 120 3.650000e+00 4.086704e+00 2.895991e+00 16200 1 130 4.406250e+00 4.086063e+00 3.114290e+00 17550 1 140 3.375000e+00 4.085981e+00 3.307076e+00 18900 1 150 3.000000e+00 4.085945e+00 3.516955e+00 20250 1 160 3.812500e+00 4.085838e+00 3.723495e+00 21600 1 170 4.250000e+00 4.085728e+00 3.944995e+00 22950 1 180 3.243750e+00 4.085593e+00 4.180610e+00 24300 1 190 4.306250e+00 4.085487e+00 4.411739e+00 25650 1 200 5.237500e+00 4.085446e+00 4.656215e+00 27000 1 210 4.500000e+00 4.085441e+00 4.897134e+00 28350 1 220 3.612500e+00 4.085405e+00 5.145950e+00 29700 1 230 3.700000e+00 4.085382e+00 5.404232e+00 31050 1 240 3.437500e+00 4.085254e+00 5.642218e+00 32400 1 250 4.100000e+00 4.085115e+00 5.874586e+00 33750 1 260 3.000000e+00 4.084973e+00 6.114494e+00 35100 1 270 4.918750e+00 4.084943e+00 6.425165e+00 36450 1 280 2.756250e+00 4.084920e+00 6.668406e+00 37800 1 290 3.737500e+00 4.084868e+00 6.914837e+00 39150 1 300 5.750000e+00 4.084868e+00 7.159564e+00 40500 1 310 5.156250e+00 4.084858e+00 7.409150e+00 41850 1 320 3.131250e+00 4.084855e+00 7.641904e+00 43200 1 330 4.125000e+00 4.084846e+00 7.909964e+00 44550 1 340 5.875000e+00 4.084820e+00 8.186661e+00 45900 1 350 4.587500e+00 4.084810e+00 8.473924e+00 47250 1 360 5.087500e+00 4.084805e+00 8.763865e+00 48600 1 370 4.393750e+00 4.084802e+00 9.034299e+00 49950 1 380 4.750000e+00 4.084792e+00 9.300279e+00 51300 1 390 4.437500e+00 4.084785e+00 9.587756e+00 52650 1 400 4.181250e+00 4.084785e+00 9.877758e+00 54000 1 410 3.650000e+00 4.084777e+00 1.017663e+01 55350 1 420 3.750000e+00 4.084769e+00 1.048444e+01 56700 1 430 3.725000e+00 4.084762e+00 1.075555e+01 58050 1 440 4.218750e+00 4.084751e+00 1.103874e+01 59400 1 450 5.500000e+00 4.084751e+00 1.130624e+01 60750 1 460 3.637500e+00 4.084747e+00 1.158523e+01 62100 1 470 2.993750e+00 4.084743e+00 1.187280e+01 63450 1 480 5.237500e+00 4.084743e+00 1.216614e+01 64800 1 490 4.212500e+00 4.084743e+00 1.244140e+01 66150 1 500 3.843750e+00 4.084743e+00 1.277713e+01 67500 1 510 3.425000e+00 4.084743e+00 1.303834e+01 68850 1 520 4.293750e+00 4.084743e+00 1.328184e+01 70200 1 530 2.818750e+00 4.084740e+00 1.357174e+01 71550 1 540 4.668750e+00 4.084740e+00 1.385788e+01 72900 1 550 2.750000e+00 4.084740e+00 1.416711e+01 74250 1 560 4.100000e+00 4.084740e+00 1.448077e+01 75600 1 570 3.200000e+00 4.084738e+00 1.480480e+01 76950 1 580 3.525000e+00 4.084738e+00 1.511522e+01 78300 1 590 3.125000e+00 4.084738e+00 1.542105e+01 79650 1 600 4.875000e+00 4.084736e+00 1.575654e+01 81000 1 610 4.050000e+00 4.084736e+00 1.606713e+01 82350 1 620 4.750000e+00 4.084733e+00 1.637499e+01 83700 1 630 3.687500e+00 4.084733e+00 1.666926e+01 85050 1 640 3.875000e+00 4.084733e+00 1.698358e+01 86400 1 650 3.625000e+00 4.084733e+00 1.728197e+01 87750 1 660 3.500000e+00 4.084732e+00 1.759706e+01 89100 1 670 4.875000e+00 4.084732e+00 1.791397e+01 90450 1 680 3.925000e+00 4.084732e+00 1.819825e+01 91800 1 690 3.900000e+00 4.084732e+00 1.848356e+01 93150 1 700 4.812500e+00 4.084732e+00 1.881174e+01 94500 1 710 5.625000e+00 4.084732e+00 1.912181e+01 95850 1 720 4.556250e+00 4.084732e+00 1.948319e+01 97200 1 730 5.150000e+00 4.084732e+00 1.979772e+01 98550 1 737 3.375000e+00 4.084732e+00 2.001761e+01 99495 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001761e+01 total solves : 99495 best bound : 4.084732e+00 simulation ci : 4.069937e+00 ± 5.528955e-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 2.900000e+00 4.059383e+00 3.419049e-01 1350 1 20 5.100000e+00 4.044562e+00 1.031497e+00 2700 1 30 3.750000e+00 4.042055e+00 1.982272e+00 4050 1 40 4.362500e+00 4.041926e+00 3.174904e+00 5400 1 50 2.950000e+00 4.041761e+00 4.621936e+00 6750 1 60 5.425000e+00 4.039058e+00 6.187134e+00 8100 1 70 5.250000e+00 4.038513e+00 8.123434e+00 9450 1 80 3.825000e+00 4.038507e+00 1.037787e+01 10800 1 90 4.750000e+00 4.038560e+00 1.292263e+01 12150 1 100 3.625000e+00 4.038486e+00 1.679889e+01 13500 1 110 3.875000e+00 4.038307e+00 1.964486e+01 14850 1 112 4.625000e+00 4.038298e+00 2.028456e+01 15120 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.028456e+01 total solves : 15120 best bound : 4.038298e+00 simulation ci : 4.057199e+00 ± 1.326295e-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 4.915075e+00 1680 1 20 2.078810e+00 1.166281e+00 5.441344e+00 2560 1 30 3.973033e+00 1.166907e+00 6.021155e+00 3440 1 40 3.706337e+00 1.167312e+00 1.089556e+01 5120 1 50 3.158565e+00 1.167416e+00 1.146120e+01 6000 1 60 3.642642e+00 1.167416e+00 1.630551e+01 7680 1 70 3.451253e+00 1.167416e+00 1.689034e+01 8560 1 71 2.984727e+00 1.167416e+00 1.693337e+01 8648 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.693337e+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 2.854071e-01 78 1 20 -4.000000e+01 -5.809615e+01 6.235850e-01 148 1 30 -4.000000e+01 -5.809615e+01 1.041619e+00 226 1 40 -4.700000e+01 -5.809615e+01 1.399648e+00 296 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.399648e+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 3.676572e-01 138 1 20 -4.000000e+01 -6.196125e+01 7.276831e-01 258 1 30 -7.500000e+01 -6.196125e+01 1.262721e+00 396 1 40 -4.000000e+01 -6.196125e+01 1.626539e+00 516 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.626539e+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 5.514870e-01 462 1 20 -5.600000e+01 -6.546793e+01 9.624929e-01 852 1 30 -4.000000e+01 -6.546793e+01 2.068510e+00 1314 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1052 running 1 of 2 signal (10): User defined signal 1 unknown function (ip: 0x7ce4025f9f14) at /lib/x86_64-linux-gnu/libc.so.6 pthread_cond_wait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv_cond_wait at /workspace/srcdir/libuv/src/unix/thread.c:822 ijl_task_get_next at /source/src/scheduler.c:520 wait at ./task.jl:1216 wait_forever at ./task.jl:1150 jfptr_wait_forever_30242.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) _ZN5highs8parallel4syncEP15HighsSplitDeque at /home/pkgeval/.julia/artifacts/23e34dfabae478fe871e3204b6ad53ef21f8a96d/lib/libhighs.so (unknown line) _ZN5highs8parallel9TaskGroupD1Ev at /home/pkgeval/.julia/artifacts/23e34dfabae478fe871e3204b6ad53ef21f8a96d/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData16evaluateRootNodeEv at /home/pkgeval/.julia/artifacts/23e34dfabae478fe871e3204b6ad53ef21f8a96d/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/23e34dfabae478fe871e3204b6ad53ef21f8a96d/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/23e34dfabae478fe871e3204b6ad53ef21f8a96d/lib/libhighs.so (unknown line) _ZN5Highs5solveEv at /home/pkgeval/.julia/artifacts/23e34dfabae478fe871e3204b6ad53ef21f8a96d/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/6NuM6/src/gen/libhighs.jl:322 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/6NuM6/src/MOI_wrapper.jl:2171 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/6NuM6/src/MOI_wrapper.jl:2171 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/98sse/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/98sse/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7ce3cf900832) at (unknown file) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 #optimize!#95 at /home/pkgeval/.julia/packages/JuMP/RGIK3/src/optimizer_interface.jl:595 optimize! at /home/pkgeval/.julia/packages/JuMP/RGIK3/src/optimizer_interface.jl:546 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:507 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:481 _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:1371 _simulate at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:1323 [inlined] #225 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:848 [inlined] collect_to_with_first! at ./array.jl:826 [inlined] _collect at ./array.jl:820 collect_similar at ./array.jl:732 [inlined] map at ./abstractarray.jl:3366 [inlined] #_simulate#223 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:1540 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:1529 simulate at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:1529 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 convergence_test at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:989 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7ce3cf90a7e1) at (unknown file) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 #train#91 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/algorithm.jl:1106 [inlined] #sldp_example_two#222 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/docs/src/examples/sldp_example_two.jl:58 sldp_example_two at /home/pkgeval/.julia/packages/SDDP/EWTpZ/docs/src/examples/sldp_example_two.jl:16 unknown function (ip: 0x7ce3cd7d3ec2) at (unknown file) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] do_call at /source/src/interpreter.c:124 eval_value at /source/src/interpreter.c:242 eval_stmt_value at /source/src/interpreter.c:193 [inlined] eval_body at /source/src/interpreter.c:707 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1038 jl_toplevel_eval_flex at /source/src/toplevel.c:978 ijl_toplevel_eval at /source/src/toplevel.c:1050 ijl_toplevel_eval_in at /source/src/toplevel.c:1095 eval at ./boot.jl:489 include_string at ./loading.jl:2824 _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 40 -4.000000e+01 -6.546793e+01 2.483503e+00 1704 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.483503e+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 _include at ./loading.jl:2884 include at ./Base.jl:304 IncludeInto at ./Base.jl:305 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/EWTpZ/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1835 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/EWTpZ/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/EWTpZ/test/runtests.jl:10 unknown function (ip: 0x7ce3cf8dd902) at (unknown file) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] do_call at /source/src/interpreter.c:124 eval_value at /source/src/interpreter.c:242 eval_stmt_value at /source/src/interpreter.c:193 [inlined] eval_body at /source/src/interpreter.c:707 eval_body at /source/src/interpreter.c:557 eval_body at /source/src/interpreter.c:557 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1038 jl_toplevel_eval_flex at /source/src/toplevel.c:978 ijl_toplevel_eval at /source/src/toplevel.c:1050 ijl_toplevel_eval_in at /source/src/toplevel.c:1095 eval at ./boot.jl:489 include_string at ./loading.jl:2824 _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 _include at ./loading.jl:2884 include at ./Base.jl:304 IncludeInto at ./Base.jl:305 jfptr_IncludeInto_74788.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] do_call at /source/src/interpreter.c:124 eval_value at /source/src/interpreter.c:242 eval_stmt_value at /source/src/interpreter.c:193 [inlined] eval_body at /source/src/interpreter.c:707 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1038 jl_toplevel_eval_flex at /source/src/toplevel.c:978 ijl_toplevel_eval at /source/src/toplevel.c:1050 ijl_toplevel_eval_in at /source/src/toplevel.c:1095 eval at ./boot.jl:489 exec_options at ./client.jl:297 _start at ./client.jl:563 jfptr__start_20407.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] true_main at /source/src/jlapi.c:950 jl_repl_entrypoint at /source/src/jlapi.c:1110 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7ce40259b249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ------------------------------------------------------------------- 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 4.797615e+00 11 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 2 signal (10): User defined signal 1 unknown function (ip: 0x77ba1c2aef14) at /lib/x86_64-linux-gnu/libc.so.6 pthread_cond_wait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv_cond_wait at /workspace/srcdir/libuv/src/unix/thread.c:822 ijl_task_get_next at /source/src/scheduler.c:520 9L 1.200000e+01 8.000000e+00 5.851237e+00 180 1 wait at ./task.jl:1216 wait_forever at ./task.jl:1150 jfptr_wait_forever_30242.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:454 wait at ./task.jl:1216 wait_forever at ./task.jl:1150 jfptr_wait_forever_30242.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== 16L 1.200000e+01 8.000000e+00 6.875260e+00 257 1 21L 1.200000e+01 8.000000e+00 7.981244e+00 393 1 28L 1.200000e+01 8.000000e+00 9.002228e+00 470 1 40L 6.000000e+00 8.000000e+00 1.085624e+01 602 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.085624e+01 total solves : 602 best bound : 8.000000e+00 simulation ci : 8.475000e+00 ± 8.904404e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: the_farmers_problem.jl ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (interactive) Task 0x000077ba117c10f0 Total snapshots: 1. Utilization: 0% ╎1 @Base/task.jl:1150 wait_forever() ╎ 1 @Base/task.jl:1216 wait() Thread 2 (default) Task 0x000077ba121fc100 Total snapshots: 1. Utilization: 0% ╎1 @Base/task.jl:1150 wait_forever() ╎ 1 @Base/task.jl:1216 wait() ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 unknown function (ip: 0x77ba1c2aef14) at /lib/x86_64-linux-gnu/libc.so.6 pthread_cond_wait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv_cond_wait at /workspace/srcdir/libuv/src/unix/thread.c:822 ijl_task_get_next at /source/src/scheduler.c:520 [1052] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/EWTpZ/docs/src/examples/the_farmers_problem.jl:228 unknown function (ip: 0x7ce4025f9f14) at /lib/x86_64-linux-gnu/libc.so.6 pthread_cond_wait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv_cond_wait at /workspace/srcdir/libuv/src/unix/thread.c:822 ijl_task_get_next at /source/src/scheduler.c:520 wait at ./task.jl:1216 wait at ./task.jl:1216 wait_forever at ./task.jl:1150 wait_forever at ./task.jl:1150 jfptr_wait_forever_30242.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:454 jfptr_wait_forever_30242.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) _ZNK4llvm5Value15getMetadataImplEj at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) wait at ./task.jl:1216 wait_forever at ./task.jl:1150 _ZN12_GLOBAL__N_18Verifier16visitInstructionERN4llvm11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) jfptr_wait_forever_30242.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 22984772 (Pool: 22984117; Big: 655); GC: 26 _ZN12_GLOBAL__N_18Verifier6verifyERKN4llvm8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) _ZN4llvm14verifyFunctionERKNS_8FunctionEPNS_11raw_ostreamE at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) verifyLLVMIR at /source/src/pipeline.cpp:896 runOnLoop at /source/src/llvm-julia-licm.cpp:356 run at /source/src/llvm-julia-licm.cpp:381 run at /source/usr/include/llvm/IR/PassManagerInternal.h:90 _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE13runSinglePassIS1_St10unique_ptrINS_6detail11PassConceptIS1_S5_JS4_S7_EEESt14default_deleteISD_EEEESt8optionalINS_17PreservedAnalysesEERT_RT0_RS5_S4_S7_RNS_19PassInstrumentationE.isra.0 at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE24runWithoutLoopNestPassesERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE3runERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:90 _ZN4llvm25FunctionToLoopPassAdaptor3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:90 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:90 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:90 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.19.1jl (unknown line) run at /source/src/pipeline.cpp:789 operator() at /source/src/jitlayers.cpp:1454 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1415 [inlined] operator() at /source/src/jitlayers.cpp:1567 [inlined] addModule at /source/src/jitlayers.cpp:2026 jl_compile_codeinst_now at /source/src/jitlayers.cpp:630 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:819 jl_compile_method_internal at /source/src/gf.c:2994 _jl_invoke at /source/src/gf.c:3471 [inlined] ijl_apply_generic at /source/src/gf.c:3679 PolicyGraph at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/user_interface.jl:926 #LinearPolicyGraph#12 at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/user_interface.jl:813 [inlined] LinearPolicyGraph at /home/pkgeval/.julia/packages/SDDP/EWTpZ/src/user_interface.jl:809 unknown function (ip: 0x7ce3f8b0f5d7) at (unknown file) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] do_call at /source/src/interpreter.c:124 eval_value at /source/src/interpreter.c:242 eval_stmt_value at /source/src/interpreter.c:193 [inlined] eval_body at /source/src/interpreter.c:707 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1038 jl_toplevel_eval_flex at /source/src/toplevel.c:978 ijl_toplevel_eval at /source/src/toplevel.c:1050 ijl_toplevel_eval_in at /source/src/toplevel.c:1095 eval at ./boot.jl:489 include_string at ./loading.jl:2824 _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 _include at ./loading.jl:2884 include at ./Base.jl:304 IncludeInto at ./Base.jl:305 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/EWTpZ/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1835 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/EWTpZ/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/EWTpZ/test/runtests.jl:10 unknown function (ip: 0x7ce3cf8dd902) at (unknown file) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] do_call at /source/src/interpreter.c:124 eval_value at /source/src/interpreter.c:242 eval_stmt_value at /source/src/interpreter.c:193 [inlined] eval_body at /source/src/interpreter.c:707 eval_body at /source/src/interpreter.c:557 eval_body at /source/src/interpreter.c:557 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1038 jl_toplevel_eval_flex at /source/src/toplevel.c:978 ijl_toplevel_eval at /source/src/toplevel.c:1050 ijl_toplevel_eval_in at /source/src/toplevel.c:1095 eval at ./boot.jl:489 include_string at ./loading.jl:2824 _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 _include at ./loading.jl:2884 include at ./Base.jl:304 IncludeInto at ./Base.jl:305 jfptr_IncludeInto_74788.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3479 [inlined] ijl_apply_generic at /source/src/gf.c:3679 jl_apply at /source/src/julia.h:2348 [inlined] do_call at /source/src/interpreter.c:124 eval_value at /source/src/interpreter.c:242 eval_stmt_value at /source/src/interpreter.c:193 [inlined] eval_body at /source/src/interpreter.c:707 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1038 jl_toplevel_eval_flex at /source/src/toplevel.c:978 ijl_toplevel_eval at /source/src/toplevel.c:1050 ijl_toplevel_eval_in at /source/src/toplevel.c:1095 eval at ./boot.jl:489 exec_options at ./client.jl:297 _start at ./client.jl:563 PkgEval terminated after 2723.92s: test duration exceeded the time limit