Package evaluation of SDDP on Julia 1.13.0-DEV.974 (7bbb213719*) started at 2025-08-12T19:23:10.710 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 11.11s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed Bzip2_jll ──────────── v1.0.9+0 Installed CodecZlib ──────────── v0.7.8 Installed ConcurrentUtilities ── v2.5.0 Installed URIs ───────────────── v1.6.1 Installed ForwardDiff ────────── v1.0.1 Installed MacroTools ─────────── v0.5.16 Installed DataStructures ─────── v0.18.22 Installed DiffResults ────────── v1.1.0 Installed ExceptionUnwrapping ── v0.1.11 Installed OrderedCollections ─── v1.8.1 Installed ExprTools ──────────── v0.1.10 Installed RecipesBase ────────── v1.3.4 Installed Compat ─────────────── v4.18.0 Installed Statistics ─────────── v1.11.1 Installed TranscodingStreams ─── v0.11.3 Installed PrecompileTools ────── v1.3.2 Installed TimerOutputs ───────── v0.5.29 Installed LoggingExtras ──────── v1.1.0 Installed OpenSSL ────────────── v1.5.0 Installed StaticArraysCore ───── v1.4.3 Installed MbedTLS ────────────── v1.1.9 Installed IrrationalConstants ── v0.2.4 Installed CodecBzip2 ─────────── v0.8.5 Installed CommonSubexpressions ─ v0.3.1 Installed OpenSpecFun_jll ────── v0.5.6+0 Installed NaNMath ────────────── v1.1.3 Installed JSON3 ──────────────── v1.14.3 Installed HTTP ───────────────── v1.10.17 Installed BitFlags ───────────── v0.1.9 Installed LogExpFunctions ────── v0.3.29 Installed Parsers ────────────── v2.8.3 Installed DiffRules ──────────── v1.15.1 Installed SpecialFunctions ───── v2.5.1 Installed JSON ───────────────── v0.21.4 Installed Reexport ───────────── v1.2.2 Installed SimpleBufferStream ─── v1.2.0 Installed JLLWrappers ────────── v1.7.1 Installed MutableArithmetics ─── v1.6.4 Installed BenchmarkTools ─────── v1.6.0 Installed Preferences ────────── v1.5.0 Installed StructTypes ────────── v1.11.0 Installed DocStringExtensions ── v0.9.5 Installed MbedTLS_jll ────────── v2.28.6+2 Installed JuMP ───────────────── v1.28.0 Installed MathOptInterface ───── v1.42.1 Installed SDDP ───────────────── v1.13.0 Installing 3 artifacts Installed artifact Bzip2 503.5 KiB Installed artifact OpenSpecFun 194.9 KiB Installed artifact MbedTLS 2.1 MiB Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.13.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 ⌅ [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [cd3eb016] + HTTP v1.10.17 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.28.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.42.1 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 8.56s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4375.8 ms ✓ TestEnv 1 dependency successfully precompiled in 4 seconds. 27 already precompiled. Precompiling package dependencies... Precompilation completed after 863.59s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_QydnBU/Project.toml` [87dc4568] HiGHS v1.19.0 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.18 [f4570300] SDDP v1.13.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_QydnBU/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.30.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.12 plus 3.55 for vertex selection. Node: 2 - elapsed time: 0.04 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.04 plus 0.01 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 3.7771679069999995 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.09 plus 0.06 for vertex selection. Node: 18 - elapsed time: 0.22 plus 0.06 for vertex selection. Node: 17 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 16 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 15 - elapsed time: 0.19 plus 0.05 for vertex selection. Node: 14 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 13 - elapsed time: 0.2 plus 0.05 for vertex selection. Node: 12 - elapsed time: 0.19 plus 0.05 for vertex selection. Node: 11 - elapsed time: 0.18 plus 0.05 for vertex selection. Node: 10 - elapsed time: 0.18 plus 0.05 for vertex selection. Node: 9 - elapsed time: 0.18 plus 0.05 for vertex selection. Node: 8 - elapsed time: 0.18 plus 0.05 for vertex selection. Node: 7 - elapsed time: 0.18 plus 0.05 for vertex selection. Node: 6 - elapsed time: 0.17 plus 0.05 for vertex selection. Node: 5 - elapsed time: 0.18 plus 0.05 for vertex selection. Node: 4 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 3 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 2 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 1 - elapsed time: 0.18 plus 0.05 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:401 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 5.836606e-02 4 1 3 0.000000e+00 0.000000e+00 5.858481e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.858481e-01 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 2.243805e-02 9 1 20 7.500000e+04 1.075000e+05 6.620328e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.620328e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.069033e+00 12 1 10 2.500000e+00 3.361111e+01 1.094289e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.094289e+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 1.427913e-02 12 1 10 2.500000e+00 3.361111e+01 3.785610e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.785610e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.394169e-03 46 1 50 0.000000e+00 1.191663e+02 4.659982e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.659982e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.531021e-03 46 1 50 0.000000e+00 1.191663e+02 4.575171e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.575171e-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 4.212643e+00 103 1 3S -5.785826e+01 -6.755367e+01 7.046394e+00 309 1 4S -6.230988e+01 -6.688020e+01 8.123418e+00 412 1 6S -6.064080e+01 -6.678327e+01 9.372008e+00 618 1 15S -4.168889e+01 -6.677644e+01 1.536456e+01 1545 1 25S -4.168889e+01 -6.677644e+01 2.139527e+01 2575 1 35S -3.268889e+01 -6.677644e+01 2.751290e+01 3605 1 45S -4.168889e+01 -6.677644e+01 3.365145e+01 4635 1 55S -4.868889e+01 -6.677644e+01 3.967092e+01 5665 1 65S -4.168889e+01 -6.677644e+01 4.585356e+01 6695 1 75S -8.368889e+01 -6.677644e+01 5.156109e+01 7725 1 85S -6.068889e+01 -6.677644e+01 5.719179e+01 8755 1 95S -6.468889e+01 -6.677644e+01 6.327960e+01 9785 1 100 -8.368889e+01 -6.677644e+01 6.574176e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.574176e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 1.683950e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.683950e-03 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 3.012029e+02 2 3 20 9.000000e+00 6.000000e+00 3.052306e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.052306e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.700000e+00 ± 1.147281e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 2.790670e-01 48 1 20 9.000000e+00 6.000000e+00 5.301878e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.301878e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 8.778095e-03 4 1 50 0.000000e+00 0.000000e+00 2.678671e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.678671e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.432724e+00 5 1 20 0.000000e+00 -1.000000e+01 8.104519e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.104519e+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 2.567506e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.584599e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.689217e-02 132 1 20 -2.396000e+01 -2.396000e+01 5.897617e-02 172 1 25 -5.320000e+00 -2.396000e+01 7.339001e-02 224 1 30 -5.320000e+00 -2.396000e+01 8.663797e-02 264 1 35 -2.396000e+01 -2.396000e+01 1.010711e-01 304 1 40 -2.396000e+01 -2.396000e+01 1.156700e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.156700e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 473ms / 20.3% 12.6MiB / 59.5% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 55.4ms 57.7% 1.39ms 5.63MiB 75.4% 144KiB solve_subproblem 160 30.5ms 31.7% 191μs 698KiB 9.1% 4.36KiB get_dual_solution 160 1.46ms 1.5% 9.13μs 180KiB 2.4% 1.12KiB prepare_backward_pass 160 79.1μs 0.1% 495ns 0.00B 0.0% 0.00B forward_pass 40 28.8ms 29.9% 720μs 1.65MiB 22.1% 42.3KiB solve_subproblem 120 25.4ms 26.4% 211μs 1.48MiB 19.8% 12.6KiB get_dual_solution 120 46.0μs 0.0% 383ns 13.1KiB 0.2% 112B sample_scenario 40 605μs 0.6% 15.1μs 24.2KiB 0.3% 620B calculate_bound 40 11.9ms 12.4% 297μs 183KiB 2.4% 4.56KiB get_dual_solution 40 19.9μs 0.0% 497ns 4.38KiB 0.1% 112B get_dual_solution 36 14.2μs 0.0% 394ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 6.376290e-02 52 1 10 -2.396000e+01 -2.396000e+01 7.435608e-02 92 1 15 -2.396000e+01 -2.396000e+01 8.651900e-02 132 1 20 -4.260000e+01 -2.396000e+01 9.957409e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.168730e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.352770e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.555841e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.780510e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.780510e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 187ms / 85.7% 15.0MiB / 94.2% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 118ms 73.2% 2.94ms 12.3MiB 87.0% 314KiB solve_subproblem 160 32.3ms 20.1% 202μs 700KiB 4.9% 4.37KiB get_dual_solution 160 1.51ms 0.9% 9.41μs 180KiB 1.2% 1.12KiB prepare_backward_pass 160 89.4μs 0.1% 559ns 0.00B 0.0% 0.00B forward_pass 40 29.4ms 18.3% 734μs 1.65MiB 11.7% 42.3KiB solve_subproblem 120 26.0ms 16.2% 217μs 1.48MiB 10.5% 12.6KiB get_dual_solution 120 49.1μs 0.0% 409ns 13.1KiB 0.1% 112B sample_scenario 40 568μs 0.4% 14.2μs 24.3KiB 0.2% 623B calculate_bound 40 13.6ms 8.5% 340μs 184KiB 1.3% 4.61KiB get_dual_solution 40 18.0μs 0.0% 450ns 4.38KiB 0.0% 112B get_dual_solution 36 13.4μs 0.0% 373ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 1.911991e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.947060e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.970780e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.990910e-01 24 1 5 -1.000000e+00 -2.000000e+00 2.011571e-01 29 1 6 -3.000000e+00 -2.000000e+00 2.027171e-01 34 1 7 -1.000000e+00 -2.000000e+00 2.043631e-01 39 1 8 -1.000000e+00 -2.000000e+00 2.062931e-01 44 1 9 -3.000000e+00 -2.000000e+00 2.074580e-01 49 1 10 -1.000000e+00 -2.000000e+00 2.087460e-01 54 1 11 -3.000000e+00 -2.000000e+00 2.107539e-01 59 1 12 -3.000000e+00 -2.000000e+00 2.127640e-01 64 1 13 -1.000000e+00 -2.000000e+00 2.148240e-01 69 1 14 -1.000000e+00 -2.000000e+00 2.166400e-01 74 1 15 -3.000000e+00 -2.000000e+00 2.179830e-01 79 1 16 -1.000000e+00 -2.000000e+00 2.200091e-01 84 1 17 -3.000000e+00 -2.000000e+00 2.220609e-01 89 1 18 -3.000000e+00 -2.000000e+00 2.242861e-01 94 1 19 -1.000000e+00 -2.000000e+00 2.259259e-01 99 1 20 -3.000000e+00 -2.000000e+00 2.273471e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.305610e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.327399e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.349520e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.364650e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.388370e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.411621e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.435570e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.454891e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.479050e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.495179e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.510440e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.533710e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.559381e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.574911e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.591250e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.616441e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.641621e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.660310e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.684360e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.711082e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.711082e-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 2.886081e-01 51 1 20 7.585494e+01 2.232958e+02 1.298029e+00 3612 1 30 2.138334e+03 2.336430e+02 3.065336e+00 7674 1 38 8.025312e+02 2.352957e+02 4.452026e+00 10194 1 45 4.103715e+01 2.358381e+02 5.474453e+00 11835 1 54 1.830901e+02 2.360657e+02 6.576389e+00 13446 1 63 1.493193e+03 2.362190e+02 8.432250e+00 15909 1 70 1.665000e+02 2.362818e+02 9.477676e+00 17046 1 97 1.870302e+02 2.364036e+02 1.464087e+01 22527 1 100 4.969839e+02 2.364135e+02 1.612273e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.612273e+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 8.239579e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.115114e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.428936e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.743218e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.072175e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.420713e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.870481e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.228801e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.613141e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.975188e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.975188e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 4.548452e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.477431e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.508452e-01 2650 1 40 -1.596461e+00 -1.471258e+00 8.539131e-01 3200 1 50 -1.002277e+00 -1.471216e+00 1.072782e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.185081e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.411507e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.530279e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.764493e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.892971e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.014403e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.143332e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.270437e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.405584e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.544834e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.686900e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.830361e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.975612e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.003047e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.003047e+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 2.195580e-01 54 1 20 3.336455e+05 3.402383e+05 2.317739e-01 104 1 30 3.993519e+05 3.403155e+05 2.436368e-01 158 1 40 3.337559e+05 3.403155e+05 2.543259e-01 208 1 48 3.337559e+05 3.403155e+05 2.643180e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.643180e-01 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 3.710914e-02 92 1 20 4.506600e+05 4.054833e+05 5.968499e-02 172 1 30 3.959476e+05 4.067125e+05 7.993722e-02 264 1 40 4.497721e+05 4.067125e+05 9.969807e-02 344 1 47 3.959476e+05 4.067125e+05 1.187501e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.187501e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 6.655962e+00 14 1 40 2.308500e+03 4.074139e+03 7.553141e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.553141e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 2.460713e+00 8 1 6L 4.000000e+04 6.250000e+04 3.523928e+00 60 1 15L 9.500000e+04 6.250000e+04 4.527485e+00 132 1 20L 6.000000e+04 6.250000e+04 5.433476e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.433476e+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 1.536298e-02 8 1 16 4.000000e+04 6.250000e+04 1.057135e+00 140 1 20 4.000000e+04 6.250000e+04 1.330133e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.330133e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 6.243515e-02 5 1 10 4.000000e+04 6.250000e+04 7.250102e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.250102e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 3.431461e-01 6 1 20L 9.000000e+00 9.000000e+00 4.585741e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.585741e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 1.073922e+00 87 1 10 -1.109375e+01 2.605769e-01 1.085706e+00 142 1 15 3.105797e+00 5.434132e-01 1.098458e+00 197 1 20 -2.463349e+01 1.503415e+00 1.112402e+00 252 1 25 -1.421085e-14 1.514085e+00 1.126321e+00 307 1 30 4.864000e+01 1.514085e+00 3.302314e+00 394 1 35 4.864000e+01 1.514085e+00 3.316395e+00 449 1 40 -8.870299e+00 1.514085e+00 3.332292e+00 504 1 45 -1.428571e+00 1.514085e+00 3.347365e+00 559 1 48 -1.428571e+00 1.514085e+00 3.358067e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.358067e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 9.451931e-01 278 1 20 1.440356e+01 1.278425e+00 9.836612e-01 428 1 30 8.388546e+00 1.278425e+00 1.050991e+00 706 1 40 6.666667e-03 1.278410e+00 1.093345e+00 856 1 50 -5.614035e+00 1.278410e+00 1.163411e+00 1134 1 60 1.426676e+01 1.278410e+00 1.212865e+00 1284 1 64 1.261296e+01 1.278410e+00 1.232987e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.232987e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 9.604621e-02 278 1 20 1.111084e+01 1.278410e+00 1.509490e-01 428 1 30 2.293779e+01 1.278410e+00 2.416692e-01 706 1 40 1.426676e+01 1.278410e+00 3.267291e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.267291e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 6.128313e+00 900 1 20 6.374753e+00 1.361934e+01 6.515744e+00 1720 1 30 2.848217e+01 1.624016e+01 7.528546e+00 3036 1 40 1.973944e+01 1.776547e+01 8.474939e+00 4192 1 50 4.000000e+00 1.889360e+01 9.324817e+00 5020 1 60 1.142478e+01 1.907862e+01 1.030032e+01 5808 1 70 9.386421e+00 1.961295e+01 1.124173e+01 6540 1 80 5.667851e+01 1.890911e+01 1.196910e+01 7088 1 90 3.740597e+01 1.993139e+01 1.356383e+01 8180 1 100 9.867183e+00 2.001688e+01 1.430132e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.430132e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.110648e+00 36 1 10 0.000000e+00 0.000000e+00 3.152849e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.152849e+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 6.875038e-03 407 1 10 2.850000e+02 5.728212e+02 6.630802e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.630802e-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 6.639004e-03 778 1 10 2.825000e+02 3.465177e+02 7.012296e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.012296e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 8.011818e-03 1149 1 10 2.587500e+02 2.052799e+02 6.613183e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.613183e-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 7.875919e-03 1520 1 10 2.875000e+02 4.661908e+02 7.265306e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.265306e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 7.773161e-03 1891 1 10 1.000000e+02 1.129771e+02 6.415701e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.415701e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 8.004904e-03 2262 1 10 1.625000e+02 2.794553e+02 7.577801e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.577801e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 8.306980e-03 2633 1 10 5.487500e+02 4.077574e+02 8.144593e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.144593e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 8.774042e-03 3004 1 10 6.771875e+02 5.210100e+02 8.164001e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.164001e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.443117e-03 3375 1 10 5.312500e+01 5.938345e+01 6.936216e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.936216e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.449044e+00 235 1 10 1.000000e+01 9.159200e+00 1.926443e+00 310 1 15 1.000000e+01 9.159200e+00 2.470532e+00 385 1 20 1.000000e+01 9.159200e+00 2.985093e+00 460 1 25 1.000000e+01 9.159200e+00 5.867441e+00 695 1 30 4.000000e+00 9.159200e+00 6.351043e+00 770 1 35 1.000000e+01 9.159200e+00 6.832455e+00 845 1 40 1.000000e+01 9.159200e+00 7.383372e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.383372e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.EqualTo{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 1.417284e+00 510 1 20 1.000000e+01 6.834387e+00 3.081280e+00 720 1 30 7.000000e+00 6.834387e+00 7.173296e+00 1230 1 40 1.000000e+01 6.823805e+00 8.803246e+00 1440 1 50 3.000000e+00 6.823805e+00 1.288086e+01 1950 1 60 2.000000e+00 6.823805e+00 1.452729e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.452729e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.430493e+01 920 1 20 6.049875e+06 2.075240e+06 1.720596e+01 1340 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1050 running 1 of 1 signal (10): User defined signal 1 _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/vK6dk/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/vK6dk/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x72877e514702) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/Ue9wj/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/Ue9wj/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 unknown function (ip: 0x72877e588d4c) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1334 [inlined] #226 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:861 [inlined] collect_to_with_first! at ./array.jl:839 [inlined] _collect at ./array.jl:833 collect_similar at ./array.jl:738 [inlined] map at ./abstractarray.jl:3386 [inlined] #_simulate#224 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:999 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x72877e51b281) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 #train#91 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] generation_expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/generation_expansion.jl:87 unknown function (ip: 0x72877b5fa06f) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2847 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2907 include at ./Base.jl:312 IncludeInto at ./Base.jl:313 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10 unknown function (ip: 0x72877e4f3562) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2847 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2907 include at ./Base.jl:312 IncludeInto at ./Base.jl:313 jfptr_IncludeInto_74172.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:286 _start at ./client.jl:553 jfptr__start_75359.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7287a89be249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 30wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_70431.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007ef580980e20 Total snapshots: 374. Utilization: 0% ╎374 @Base/task.jl:1129 wait_forever() 373╎ 374 @Base/task.jl:1192 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_70431.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 24550067 (Pool: 24549365; Big: 702); GC: 25 [1050] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/generation_expansion.jl:92 _ZN4llvm8dyn_castINS_13IntrinsicInstENS_11InstructionEEEDcPT0_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm9MemorySSA15createNewAccessINS_14BatchAAResultsEEEPNS_14MemoryUseOrDefEPNS_11InstructionEPT_PKS3_.constprop.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm9MemorySSA14buildMemorySSAINS_14iterator_rangeINS_14ilist_iteratorINS_12ilist_detail12node_optionsINS_10BasicBlockELb1ELb0EvLb0EvEELb0ELb0EEEEEEEvRNS_14BatchAAResultsET_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm9MemorySSAC1ERNS_8FunctionEPNS_9AAResultsEPNS_13DominatorTreeE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm17MemorySSAAnalysis3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm6detail17AnalysisPassModelINS_8FunctionENS_17MemorySSAAnalysisENS_15AnalysisManagerIS2_JEE11InvalidatorEJEE3runERS2_RS5_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15AnalysisManagerINS_8FunctionEJEE13getResultImplEPNS_11AnalysisKeyERS1_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7DSEPass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:791 operator() at /source/src/jitlayers.cpp:1510 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:1471 [inlined] operator() at /source/src/jitlayers.cpp:1623 [inlined] addModule at /source/src/jitlayers.cpp:2080 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:873 jl_compile_method_internal at /source/src/gf.c:3527 _jl_invoke at /source/src/gf.c:4007 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] jl_f_invokelatest at /source/src/builtins.c:877 profile_printing_listener at ./Base.jl:339 #start_profile_listener##0 at ./Base.jl:357 jfptr_YY.start_profile_listenerYY.YY.0_18558.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 550383475 (Pool: 550380249; Big: 3226); GC: 100 PkgEval terminated after 2724.97s: test duration exceeded the time limit