Package evaluation of SDDP on Julia 1.11.5 (32ac370b68*) started at 2025-06-29T13:47:31.379 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 11.68s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed DiffRules ──────────── v1.15.1 Installed IrrationalConstants ── v0.2.4 Installed DiffResults ────────── v1.1.0 Installed LoggingExtras ──────── v1.1.0 Installed Preferences ────────── v1.4.3 Installed JSON3 ──────────────── v1.14.3 Installed JSON ───────────────── v0.21.4 Installed MutableArithmetics ─── v1.6.4 Installed OpenSSL_jll ────────── v3.5.0+0 Installed Bzip2_jll ──────────── v1.0.9+0 Installed CodecBzip2 ─────────── v0.8.5 Installed BitFlags ───────────── v0.1.9 Installed SimpleBufferStream ─── v1.2.0 Installed Parsers ────────────── v2.8.3 Installed SpecialFunctions ───── v2.5.1 Installed BenchmarkTools ─────── v1.6.0 Installed RecipesBase ────────── v1.3.4 Installed ConcurrentUtilities ── v2.5.0 Installed StaticArraysCore ───── v1.4.3 Installed NaNMath ────────────── v1.1.3 Installed JLLWrappers ────────── v1.7.0 Installed TimerOutputs ───────── v0.5.29 Installed PrecompileTools ────── v1.2.1 Installed OpenSSL ────────────── v1.5.0 Installed OrderedCollections ─── v1.8.1 Installed URIs ───────────────── v1.6.1 Installed TranscodingStreams ─── v0.11.3 Installed ForwardDiff ────────── v1.0.1 Installed HTTP ───────────────── v1.10.17 Installed JuMP ───────────────── v1.26.0 Installed Reexport ───────────── v1.2.2 Installed MbedTLS ────────────── v1.1.9 Installed Statistics ─────────── v1.11.1 Installed CommonSubexpressions ─ v0.3.1 Installed LogExpFunctions ────── v0.3.29 Installed DataStructures ─────── v0.18.22 Installed OpenSpecFun_jll ────── v0.5.6+0 Installed CodecZlib ──────────── v0.7.8 Installed Compat ─────────────── v4.16.0 Installed ExprTools ──────────── v0.1.10 Installed StructTypes ────────── v1.11.0 Installed MacroTools ─────────── v0.5.16 Installed SDDP ───────────────── v1.12.0 Installed ExceptionUnwrapping ── v0.1.11 Installed DocStringExtensions ── v0.9.5 Installed MathOptInterface ───── v1.41.0 Updating `~/.julia/environments/v1.11/Project.toml` [f4570300] + SDDP v1.12.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [cd3eb016] + HTTP v1.10.17 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.26.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.41.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.12.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [458c3c95] + OpenSSL_jll v3.5.0+0 [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 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [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 v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+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 8.23s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 3011.6 ms ✓ TestEnv 1 dependency successfully precompiled in 3 seconds. 23 already precompiled. Precompiling package dependencies... Precompilation completed after 865.96s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_DI1JTa/Project.toml` [87dc4568] HiGHS v1.18.1 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.14 [f4570300] SDDP v1.12.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [44cfe95a] Pkg v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_DI1JTa/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.29.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:391 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 4.220760e-01 4 1 3 0.000000e+00 0.000000e+00 9.511399e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.511399e-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 6.310606e-02 9 1 20 7.500000e+04 1.075000e+05 7.978890e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.978890e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.551244e+00 12 1 10 2.500000e+00 3.361111e+01 1.579078e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.579078e+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 8.576155e-03 12 1 10 2.500000e+00 3.361111e+01 3.104615e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.104615e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.197696e-02 46 1 50 0.000000e+00 1.191663e+02 5.363030e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.363030e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.136494e-02 46 1 50 0.000000e+00 1.191663e+02 5.889959e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.889959e-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 4.833558e+00 103 1 3S -5.785826e+01 -6.755367e+01 7.413619e+00 309 1 11S -8.368889e+01 -6.677644e+01 8.893989e+00 1133 1 21S -8.368889e+01 -6.677644e+01 1.478567e+01 2163 1 31S -6.068889e+01 -6.677644e+01 2.088193e+01 3193 1 41S -6.068889e+01 -6.677644e+01 2.693393e+01 4223 1 51S -5.268889e+01 -6.677644e+01 3.286579e+01 5253 1 61S -6.068889e+01 -6.677644e+01 3.881448e+01 6283 1 71S -3.268889e+01 -6.677644e+01 4.473318e+01 7313 1 81S -6.468889e+01 -6.677644e+01 5.070492e+01 8343 1 91S -6.068889e+01 -6.677644e+01 5.671884e+01 9373 1 100 -8.368889e+01 -6.677644e+01 6.150242e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.150242e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 3.476976e+02 2 3 20 3.000000e+00 6.000000e+00 3.547701e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.547701e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.400000e+00 ± 1.048766e+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/She2h/src/algorithm.jl:1170 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 2.692549e-01 48 1 20 9.000000e+00 6.000000e+00 5.800109e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.800109e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 4.613161e-03 4 1 50 0.000000e+00 0.000000e+00 4.255700e-02 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 4.255700e-02 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:51 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 4.994702e-02 5 1 20 0.000000e+00 -1.000000e+01 7.285118e-02 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.285118e-02 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 1.615787e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.317786e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.139400e-02 132 1 20 -2.396000e+01 -2.396000e+01 3.980184e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.043292e-02 224 1 30 -5.320000e+00 -2.396000e+01 6.016994e-02 264 1 35 -2.396000e+01 -2.396000e+01 7.108784e-02 304 1 40 -2.396000e+01 -2.396000e+01 8.288288e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.288288e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 4.79s / 1.5% 11.3MiB / 61.3% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 45.8ms 63.4% 1.15ms 5.87MiB 85.0% 150KiB solve_subproblem 160 23.7ms 32.8% 148μs 944KiB 13.3% 5.90KiB get_dual_solution 160 1.19ms 1.6% 7.43μs 190KiB 2.7% 1.19KiB prepare_backward_pass 160 89.1μs 0.1% 557ns 0.00B 0.0% 0.00B forward_pass 40 17.2ms 23.8% 429μs 769KiB 10.9% 19.2KiB solve_subproblem 120 15.4ms 21.3% 128μs 589KiB 8.3% 4.91KiB get_dual_solution 120 86.8μs 0.1% 723ns 13.1KiB 0.2% 112B sample_scenario 40 345μs 0.5% 8.61μs 24.2KiB 0.3% 620B calculate_bound 40 9.29ms 12.8% 232μs 289KiB 4.1% 7.24KiB get_dual_solution 40 44.8μs 0.1% 1.12μs 4.38KiB 0.1% 112B get_dual_solution 36 27.9μs 0.0% 776ns 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 1.552010e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.353096e-02 92 1 15 -2.396000e+01 -2.396000e+01 3.289604e-02 132 1 20 -4.260000e+01 -2.396000e+01 4.355907e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.790997e-02 224 1 30 -2.396000e+01 -2.396000e+01 7.201600e-02 264 1 35 -2.396000e+01 -2.396000e+01 8.827591e-02 304 1 40 -5.320000e+00 -2.396000e+01 1.063421e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.063421e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 113ms / 85.6% 13.8MiB / 93.4% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 68.1ms 70.6% 1.70ms 11.9MiB 91.9% 304KiB solve_subproblem 160 24.5ms 25.4% 153μs 950KiB 7.2% 5.94KiB get_dual_solution 160 1.22ms 1.3% 7.61μs 190KiB 1.4% 1.19KiB prepare_backward_pass 160 119μs 0.1% 747ns 0.00B 0.0% 0.00B forward_pass 40 17.5ms 18.1% 436μs 768KiB 5.8% 19.2KiB solve_subproblem 120 15.3ms 15.8% 127μs 588KiB 4.4% 4.90KiB get_dual_solution 120 84.0μs 0.1% 700ns 13.1KiB 0.1% 112B sample_scenario 40 436μs 0.5% 10.9μs 24.3KiB 0.2% 623B calculate_bound 40 10.8ms 11.2% 271μs 301KiB 2.3% 7.52KiB get_dual_solution 40 53.2μs 0.1% 1.33μs 4.38KiB 0.0% 112B get_dual_solution 36 24.1μs 0.0% 669ns 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 4.680157e-03 5 1 2 -2.500000e+00 -2.000000e+00 6.436110e-03 14 1 3 -1.000000e+00 -2.000000e+00 7.292032e-03 19 1 4 -1.000000e+00 -2.000000e+00 8.054018e-03 24 1 5 -1.000000e+00 -2.000000e+00 8.799076e-03 29 1 6 -3.000000e+00 -2.000000e+00 9.531021e-03 34 1 7 -1.000000e+00 -2.000000e+00 1.028514e-02 39 1 8 -1.000000e+00 -2.000000e+00 1.102114e-02 44 1 9 -3.000000e+00 -2.000000e+00 1.180100e-02 49 1 10 -1.000000e+00 -2.000000e+00 1.257706e-02 54 1 11 -3.000000e+00 -2.000000e+00 1.337504e-02 59 1 12 -3.000000e+00 -2.000000e+00 1.419616e-02 64 1 13 -1.000000e+00 -2.000000e+00 1.498818e-02 69 1 14 -1.000000e+00 -2.000000e+00 1.576018e-02 74 1 15 -3.000000e+00 -2.000000e+00 1.652503e-02 79 1 16 -1.000000e+00 -2.000000e+00 1.731396e-02 84 1 17 -3.000000e+00 -2.000000e+00 1.812315e-02 89 1 18 -3.000000e+00 -2.000000e+00 1.893497e-02 94 1 19 -1.000000e+00 -2.000000e+00 1.976919e-02 99 1 20 -3.000000e+00 -2.000000e+00 2.059412e-02 104 1 21 -1.000000e+00 -2.000000e+00 2.210307e-02 113 1 22 -1.000000e+00 -2.000000e+00 2.295613e-02 118 1 23 -3.000000e+00 -2.000000e+00 2.382112e-02 123 1 24 -3.000000e+00 -2.000000e+00 2.489018e-02 128 1 25 -1.000000e+00 -2.000000e+00 2.660418e-02 133 1 26 -3.000000e+00 -2.000000e+00 2.781296e-02 138 1 27 -3.000000e+00 -2.000000e+00 2.885199e-02 143 1 28 -1.000000e+00 -2.000000e+00 3.068304e-02 148 1 29 -3.000000e+00 -2.000000e+00 3.172112e-02 153 1 30 -3.000000e+00 -2.000000e+00 3.289318e-02 158 1 31 -1.000000e+00 -2.000000e+00 3.462911e-02 163 1 32 -1.000000e+00 -2.000000e+00 3.571701e-02 168 1 33 -1.000000e+00 -2.000000e+00 3.689599e-02 173 1 34 -3.000000e+00 -2.000000e+00 3.878403e-02 178 1 35 -1.000000e+00 -2.000000e+00 4.031396e-02 183 1 36 -3.000000e+00 -2.000000e+00 4.137397e-02 188 1 37 -1.000000e+00 -2.000000e+00 4.260707e-02 193 1 38 -1.000000e+00 -2.000000e+00 4.457712e-02 198 1 39 -1.000000e+00 -2.000000e+00 4.595113e-02 203 1 40 -1.000000e+00 -2.000000e+00 4.743505e-02 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.743505e-02 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 1.329310e-01 51 1 21 8.151871e+01 2.236176e+02 1.153089e+00 3723 1 30 2.138334e+03 2.336430e+02 2.672526e+00 7674 1 38 8.025312e+02 2.352957e+02 3.910832e+00 10194 1 46 1.737622e+02 2.358930e+02 5.004955e+00 12054 1 57 6.154394e+01 2.360915e+02 6.023714e+00 13671 1 63 1.493193e+03 2.362190e+02 7.533035e+00 15909 1 72 1.044387e+02 2.362973e+02 8.566055e+00 17364 1 76 3.050305e+02 2.363467e+02 9.839944e+00 18936 1 100 4.969839e+02 2.364135e+02 1.425105e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.425105e+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 8.729329e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.117211e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.373190e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.639416e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.011861e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.283410e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.555254e+00 9800 1 80 -4.861568e+00 -4.353006e+00 2.841774e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.127291e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.417458e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.417458e+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 1.285179e-01 1050 1 20 -1.529197e+00 -1.471817e+00 1.978400e-01 1600 1 30 -1.410768e+00 -1.471408e+00 3.561640e-01 2650 1 40 -1.596461e+00 -1.471258e+00 4.345219e-01 3200 1 50 -1.002277e+00 -1.471216e+00 5.981698e-01 4250 1 60 -1.085156e+00 -1.471164e+00 6.813600e-01 4800 1 70 -1.391746e+00 -1.471164e+00 8.504310e-01 5850 1 80 -1.448703e+00 -1.471132e+00 9.370930e-01 6400 1 90 -1.488989e+00 -1.471087e+00 1.109798e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.206237e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.299365e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.397501e+00 9100 1 130 -1.271481e+00 -1.471075e+00 1.538784e+00 9650 1 140 -1.249746e+00 -1.471075e+00 1.642411e+00 10200 1 150 -1.536222e+00 -1.471075e+00 1.747924e+00 10750 1 160 -1.565422e+00 -1.471075e+00 1.940448e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.046083e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.152216e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.171596e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.171596e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 1.669097e-02 54 1 20 3.336455e+05 3.402383e+05 2.840805e-02 104 1 30 3.993519e+05 3.403155e+05 3.928709e-02 158 1 40 3.337559e+05 3.403155e+05 4.874992e-02 208 1 48 3.337559e+05 3.403155e+05 5.764604e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.764604e-02 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 3.096700e-02 92 1 20 4.506600e+05 4.054833e+05 5.406499e-02 172 1 30 3.959476e+05 4.067125e+05 7.515907e-02 264 1 40 4.497721e+05 4.067125e+05 2.505989e-01 344 1 47 3.959476e+05 4.067125e+05 2.667339e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.667339e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 5.332899e-02 14 1 40 2.308500e+03 4.074139e+03 2.319131e-01 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.319131e-01 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 1.107069e+00 8 1 7L 5.500000e+04 6.250000e+04 2.126133e+00 68 1 16L 6.000000e+04 6.250000e+04 3.256685e+00 140 1 20L 6.000000e+04 6.250000e+04 3.973171e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.973171e+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 1.115298e-02 8 1 16 4.000000e+04 6.250000e+04 1.056855e+00 140 1 20 4.000000e+04 6.250000e+04 1.313852e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.313852e+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 9.089088e-02 5 1 10 4.000000e+04 6.250000e+04 5.934210e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.934210e-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 1.273990e-01 6 1 20L 9.000000e+00 9.000000e+00 2.299869e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.299869e-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 1.314485e+00 87 1 10 -1.109375e+01 2.605769e-01 1.327265e+00 142 1 15 3.105797e+00 5.434132e-01 1.340640e+00 197 1 20 -2.463349e+01 1.503415e+00 1.355426e+00 252 1 25 -1.421085e-14 1.514085e+00 1.370022e+00 307 1 30 4.864000e+01 1.514085e+00 2.854390e+00 394 1 35 4.864000e+01 1.514085e+00 2.869259e+00 449 1 40 -8.870299e+00 1.514085e+00 2.885583e+00 504 1 45 -1.428571e+00 1.514085e+00 2.901433e+00 559 1 48 -1.428571e+00 1.514085e+00 2.913591e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.913591e+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 : #160 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 9.200490e-01 278 1 20 1.440356e+01 1.278425e+00 9.607151e-01 428 1 30 8.388546e+00 1.278425e+00 1.030964e+00 706 1 40 6.666667e-03 1.278410e+00 1.074729e+00 856 1 50 -5.614035e+00 1.278410e+00 1.145438e+00 1134 1 60 1.426676e+01 1.278410e+00 1.194184e+00 1284 1 64 1.261296e+01 1.278410e+00 1.214765e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.214765e+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 : #160 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 7.503200e-02 278 1 20 1.111084e+01 1.278410e+00 2.334530e-01 428 1 30 2.293779e+01 1.278410e+00 3.291321e-01 706 1 40 1.426676e+01 1.278410e+00 4.142129e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.142129e-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 1.655118e+00 900 1 20 6.374753e+00 1.361934e+01 2.022043e+00 1720 1 30 2.848217e+01 1.624016e+01 2.930328e+00 3036 1 40 1.973944e+01 1.776547e+01 3.925230e+00 4192 1 50 4.000000e+00 1.889360e+01 4.738854e+00 5020 1 60 1.142478e+01 1.907862e+01 5.669712e+00 5808 1 70 9.386421e+00 1.961295e+01 6.596970e+00 6540 1 80 5.667851e+01 1.890911e+01 7.329746e+00 7088 1 90 3.740597e+01 1.993139e+01 8.897938e+00 8180 1 100 9.867183e+00 2.001688e+01 9.606176e+00 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.606176e+00 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 1.119804e-02 36 1 10 0.000000e+00 0.000000e+00 4.778504e-02 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.778504e-02 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 5.985022e-03 407 1 10 2.850000e+02 5.728212e+02 5.568218e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.568218e-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 5.781174e-03 778 1 10 2.825000e+02 3.465177e+02 5.708814e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.708814e-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 6.016016e-03 1149 1 10 2.587500e+02 2.052799e+02 5.692101e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.692101e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 7.117987e-03 1520 1 10 2.875000e+02 4.661908e+02 7.052112e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.052112e-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 7.332087e-03 1891 1 10 1.000000e+02 1.129771e+02 6.231904e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.231904e-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 8.068085e-03 2262 1 10 1.625000e+02 2.794553e+02 6.536508e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.536508e-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 7.826090e-03 2633 1 10 5.487500e+02 4.077574e+02 7.359600e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.359600e-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 8.611917e-03 3004 1 10 6.771875e+02 5.210100e+02 8.102608e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.102608e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 7.508993e-03 3375 1 10 5.312500e+01 5.938345e+01 6.571698e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.571698e-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 1.297222e+00 235 1 10 1.000000e+01 9.159200e+00 1.760235e+00 310 1 15 1.000000e+01 9.159200e+00 2.273197e+00 385 1 20 1.000000e+01 9.159200e+00 2.751218e+00 460 1 25 1.000000e+01 9.159200e+00 5.426244e+00 695 1 30 4.000000e+00 9.159200e+00 5.913213e+00 770 1 35 1.000000e+01 9.159200e+00 6.397201e+00 845 1 40 1.000000e+01 9.159200e+00 6.903283e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.903283e+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 1.262098e+00 510 1 20 1.000000e+01 6.834387e+00 2.795135e+00 720 1 30 7.000000e+00 6.834387e+00 6.558108e+00 1230 1 40 1.000000e+01 6.823805e+00 8.070086e+00 1440 1 50 3.000000e+00 6.823805e+00 1.183507e+01 1950 1 60 2.000000e+00 6.823805e+00 1.339469e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.339469e+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 1.310065e+01 920 1 20 6.049875e+06 2.075240e+06 1.574549e+01 1340 1 30 5.496647e+05 2.078257e+06 2.885935e+01 2260 1 40 3.985383e+04 2.078257e+06 3.169702e+01 2680 1 50 2.994548e+05 2.078257e+06 4.506197e+01 3600 1 60 3.799457e+06 2.078257e+06 4.788692e+01 4020 1 61 3.549665e+06 2.078257e+06 4.815986e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.815986e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.433481e+01 920 1 20L 2.799668e+06 2.079457e+06 5.599706e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.925039e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.111849e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.111849e+02 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.188534e+02 1.384528e+00 1914 1 200 0.000000e+00 1.191645e+02 1.850546e+00 3840 1 300 7.500000e+01 1.191666e+02 2.336066e+00 5738 1 328 2.500000e+00 1.191667e+02 2.439497e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.439497e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 7.728770e-01 2806 1 200 0.000000e+00 1.191666e+02 1.404309e+00 4749 1 287 5.000000e+00 1.191667e+02 1.906605e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.906605e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 1.375880e-01 1033 1 20 8.000000e+00 2.000000e+01 1.679580e-01 1209 1 30 1.200000e+01 2.000000e+01 3.162410e-01 2304 1 40 3.000000e+01 2.000000e+01 4.102871e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.102871e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 4.896808e-02 3 1 40 2.000000e+00 2.000000e+00 1.532300e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.532300e-01 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 8.566229e-01 1350 1 20 5.062500e+00 4.110713e+00 1.075264e+00 2700 1 30 4.500000e+00 4.104200e+00 1.301051e+00 4050 1 40 3.812500e+00 4.102669e+00 1.534960e+00 5400 1 50 4.725000e+00 4.095504e+00 1.792745e+00 6750 1 60 4.050000e+00 4.092999e+00 2.030601e+00 8100 1 70 4.606250e+00 4.091524e+00 2.261733e+00 9450 1 80 3.875000e+00 4.089694e+00 2.517231e+00 10800 1 90 3.750000e+00 4.089490e+00 2.789331e+00 12150 1 100 5.125000e+00 4.087894e+00 3.156669e+00 13500 1 110 4.500000e+00 4.087478e+00 3.438786e+00 14850 1 120 3.650000e+00 4.086704e+00 3.723398e+00 16200 1 130 4.406250e+00 4.086063e+00 4.005792e+00 17550 1 140 3.375000e+00 4.085981e+00 4.280611e+00 18900 1 150 3.000000e+00 4.085945e+00 4.568572e+00 20250 1 160 3.812500e+00 4.085838e+00 4.863503e+00 21600 1 170 4.250000e+00 4.085728e+00 5.168682e+00 22950 1 180 3.243750e+00 4.085593e+00 5.458132e+00 24300 1 190 4.306250e+00 4.085487e+00 5.751788e+00 25650 1 200 5.237500e+00 4.085446e+00 6.076318e+00 27000 1 210 4.500000e+00 4.085441e+00 6.364862e+00 28350 1 220 3.612500e+00 4.085405e+00 6.671791e+00 29700 1 230 3.700000e+00 4.085382e+00 6.980681e+00 31050 1 240 3.437500e+00 4.085254e+00 7.290559e+00 32400 1 250 4.100000e+00 4.085115e+00 7.650889e+00 33750 1 260 3.000000e+00 4.084973e+00 7.959987e+00 35100 1 270 4.918750e+00 4.084943e+00 8.276752e+00 36450 1 280 2.756250e+00 4.084920e+00 8.599539e+00 37800 1 290 3.737500e+00 4.084868e+00 8.938046e+00 39150 1 300 5.750000e+00 4.084868e+00 9.277399e+00 40500 1 310 5.156250e+00 4.084858e+00 9.621932e+00 41850 1 320 3.131250e+00 4.084855e+00 9.959130e+00 43200 1 330 4.125000e+00 4.084846e+00 1.029107e+01 44550 1 340 5.875000e+00 4.084820e+00 1.063058e+01 45900 1 350 4.587500e+00 4.084810e+00 1.097477e+01 47250 1 360 5.087500e+00 4.084805e+00 1.132854e+01 48600 1 370 4.393750e+00 4.084802e+00 1.166732e+01 49950 1 380 4.750000e+00 4.084792e+00 1.200839e+01 51300 1 390 4.437500e+00 4.084785e+00 1.235110e+01 52650 1 400 4.181250e+00 4.084785e+00 1.270241e+01 54000 1 410 3.650000e+00 4.084777e+00 1.306534e+01 55350 1 420 3.750000e+00 4.084769e+00 1.343549e+01 56700 1 430 3.725000e+00 4.084762e+00 1.377745e+01 58050 1 440 4.218750e+00 4.084751e+00 1.412102e+01 59400 1 450 5.500000e+00 4.084751e+00 1.448030e+01 60750 1 460 3.637500e+00 4.084747e+00 1.483399e+01 62100 1 470 2.993750e+00 4.084743e+00 1.517989e+01 63450 1 480 5.237500e+00 4.084743e+00 1.555213e+01 64800 1 490 4.212500e+00 4.084743e+00 1.590624e+01 66150 1 500 3.843750e+00 4.084743e+00 1.626084e+01 67500 1 510 3.425000e+00 4.084743e+00 1.659931e+01 68850 1 520 4.293750e+00 4.084743e+00 1.694577e+01 70200 1 530 2.818750e+00 4.084740e+00 1.731844e+01 71550 1 540 4.668750e+00 4.084740e+00 1.766088e+01 72900 1 550 2.750000e+00 4.084740e+00 1.802320e+01 74250 1 560 4.100000e+00 4.084740e+00 1.843373e+01 75600 1 570 3.200000e+00 4.084738e+00 1.881785e+01 76950 1 580 3.525000e+00 4.084738e+00 1.918210e+01 78300 1 590 3.125000e+00 4.084738e+00 1.953795e+01 79650 1 600 4.875000e+00 4.084736e+00 1.993269e+01 81000 1 602 4.187500e+00 4.084736e+00 2.000551e+01 81270 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.000551e+01 total solves : 81270 best bound : 4.084736e+00 simulation ci : 4.068522e+00 ± 6.169660e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.825000e+00 4.407044e+00 4.579508e-01 1350 1 20 4.693750e+00 4.339569e+00 1.346122e+00 2700 1 30 4.475000e+00 4.046813e+00 2.353675e+00 4050 1 40 4.900000e+00 4.046109e+00 3.586338e+00 5400 1 50 3.118750e+00 4.045888e+00 5.106588e+00 6750 1 60 4.437500e+00 4.043449e+00 6.879588e+00 8100 1 70 3.312500e+00 4.039869e+00 9.093083e+00 9450 1 80 4.806250e+00 4.039425e+00 1.148497e+01 10800 1 90 5.006250e+00 4.039250e+00 1.410724e+01 12150 1 100 3.793750e+00 4.039030e+00 1.701623e+01 13500 1 109 3.918750e+00 4.039009e+00 2.003766e+01 14715 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.003766e+01 total solves : 14715 best bound : 4.039009e+00 simulation ci : 3.998186e+00 ± 1.391570e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.219176e+00 1.165102e+00 1.643030e+01 1680 1 20 2.078810e+00 1.166281e+00 1.780602e+01 2560 1 30 3.973033e+00 1.166907e+00 1.917062e+01 3440 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1055 running 1 of 1 signal (10): User defined signal 1 unknown function (ip: 0x7ffb48051193) unknown function (ip: 0x7ffb48058c7d) _ZN15HighsSplitDeque10WorkerBunk11publishWorkEPS_ at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData30startAnalyticCenterComputationERKN5highs8parallel9TaskGroupE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData16evaluateRootNodeEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/gen/libhighs.jl:328 [inlined] #42 at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/eRhCr/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/eRhCr/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7ffb2fb5fef2) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #optimize!#104 at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#95 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:507 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:481 unknown function (ip: 0x7ffb2ee6816b) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #_simulate#127 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1371 _simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1323 [inlined] #270 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:849 [inlined] collect_to_with_first! at ./array.jl:827 [inlined] _collect at ./array.jl:821 collect_similar at ./array.jl:720 [inlined] map at ./abstractarray.jl:3371 [inlined] #_simulate#269 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#130 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1540 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1529 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1529 simulator at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 convergence_test at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:989 #267 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7ffb2fb198d7) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #train#111 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x7ffb290e025f) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 _include at ./loading.jl:2794 include at ./sysimg.jl:38 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10 unknown function (ip: 0x7ffb29d383b2) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 _include at ./loading.jl:2794 include at ./sysimg.jl:38 unknown function (ip: 0x7ffb46d00082) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] exec_options at ./client.jl:296 _start at ./client.jl:531 jfptr__start_73694.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] true_main at /source/src/jlapi.c:900 jl_repl_entrypoint at /source/src/jlapi.c:1059 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7ffb47ff2249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== Profile collected. A report will print at the next yield point ============================================================== 40 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:522 poptask at ./task.jl:1012 wait at ./task.jl:1021 #wait#733 at ./condition.jl:130 wait at ./condition.jl:125 [inlined] wait at ./process.jl:694 wait at ./process.jl:687 unknown function (ip: 0x7cad6ab749a2) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 subprocess_handler at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2146 #131 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2086 withenv at ./env.jl:265 #118 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1935 with_temp_env at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1793 #116 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1902 #mktempdir#28 at ./file.jl:819 unknown function (ip: 0x7cad6ab6a89d) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 mktempdir at ./file.jl:815 mktempdir at ./file.jl:815 [inlined] #sandbox#115 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1849 [inlined] sandbox at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1841 unknown function (ip: 0x7cad6ab5ee36) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #test#128 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2067 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2011 [inlined] #test#146 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:460 unknown function (ip: 0x7cad6ab5eb3d) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #test#77 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 unknown function (ip: 0x7cad6ab5e52d) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:148 #test#75 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] #test#74 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 unknown function (ip: 0x7cad6ab5a9b6) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 _include at ./loading.jl:2794 include at ./Base.jl:562 jfptr_include_47034.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 exec_options at ./client.jl:323 _start at ./client.jl:531 jfptr__start_73694.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] true_main at /source/src/jlapi.c:900 jl_repl_entrypoint at /source/src/jlapi.c:1059 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7cad6beb6249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== 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/v1.11/Profile/src/Profile.jl:1240 Overhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x00007ffb3aa00010 Total snapshots: 101. Utilization: 100% ╎95 @Base/client.jl:531; _start() ╎ 95 @Base/client.jl:296; exec_options(opts::Base.JLOptions) ╎ 95 @Base/boot.jl:430; eval ╎ 95 @Base/sysimg.jl:38; include(fname::String) ╎ 95 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Module, _pat… ╎ 95 @Base/loading.jl:2734; include_string(mapexpr::typeof(identity), mo… ╎ ╎ 95 @Base/boot.jl:430; eval ╎ ╎ 95 …e2h/test/runtests.jl:10; util_test_directory(dir::String) ╎ ╎ 95 …e2h/test/runtests.jl:14; util_test_directory(dir::String, exclu… ╎ ╎ 95 @Test/src/Test.jl:1709; macro expansion ╎ ╎ 95 …2h/test/runtests.jl:16; macro expansion ╎ ╎ ╎ 95 @Base/sysimg.jl:38; include ╎ ╎ ╎ 95 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Modu… ╎ ╎ ╎ 95 @Base/loading.jl:2734; include_string(mapexpr::typeof(ident… ╎ ╎ ╎ 95 @Base/boot.jl:430; eval ╎ ╎ ╎ 95 …dp_example_one.jl:42; sldp_example_one() ╎ ╎ ╎ ╎ 95 …src/algorithm.jl:1106; train ╎ ╎ ╎ ╎ 95 …rc/algorithm.jl:1280; train(model::SDDP.PolicyGraph{In… ╎ ╎ ╎ ╎ 95 …allel_schemes.jl:49; master_loop(::SDDP.Serial, model… ╎ ╎ ╎ ╎ 95 @Base/c.jl:167; disable_sigint ╎ ╎ ╎ ╎ 95 …llel_schemes.jl:50; (::SDDP.var"#267#268"{SDDP.Poli… ╎ ╎ ╎ ╎ ╎ 95 …c/algorithm.jl:989; iteration(model::SDDP.PolicyGr… ╎ ╎ ╎ ╎ ╎ 95 …ins/headers.jl:92; convergence_test(graph::SDDP.P… ╎ ╎ ╎ ╎ ╎ 95 …ping_rules.jl:412; convergence_test(model::SDDP.… ╎ ╎ ╎ ╎ ╎ 95 …ping_rules.jl:325; (::SDDP.var"#simulator#243"{… ╎ ╎ ╎ ╎ ╎ 95 …algorithm.jl:1529; kwcall(::@NamedTuple{sampli… ╎ ╎ ╎ ╎ ╎ ╎ 95 …algorithm.jl:1529; simulate ╎ ╎ ╎ ╎ ╎ ╎ 95 …lgorithm.jl:1540; #simulate#130 ╎ ╎ ╎ ╎ ╎ ╎ 95 …l_schemes.jl:62; _simulate ╎ ╎ ╎ ╎ ╎ ╎ 95 …_schemes.jl:70; #_simulate#269 ╎ ╎ ╎ ╎ ╎ ╎ 95 …actarray.jl:3371; map ╎ ╎ ╎ ╎ ╎ ╎ ╎ 95 …se/array.jl:720; collect_similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 95 …se/array.jl:821; _collect(c::UnitRange{… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 95 …se/array.jl:827; collect_to_with_first! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 95 …se/array.jl:849; collect_to! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 95 …enerator.jl:48; iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 95 …_schemes.jl:71; #270 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 95 …lgorithm.jl:1323; _simulate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 94 …lgorithm.jl:1371; _simulate(model… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 94 …lgorithm.jl:481; kwcall(::@Named… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 94 …lgorithm.jl:507; solve_subprobl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 94 …nterface.jl:560; optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 94 …nterface.jl:609; optimize!(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 94 …ptimizer.jl:379; optimize!(m::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 94 …ptimizer.jl:367; optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 94 …_wrapper.jl:2223; optimize!(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 94 @Base/c.jl:167; disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 94 …_wrapper.jl:2223; #42 94╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 94 …libhighs.jl:328; Highs_run ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …lgorithm.jl:1424; _simulate(model… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/dict.jl:110; copy ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/dict.jl:117; Dict ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …ractdict.jl:635; dict_with_elty… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …ase/dict.jl:83; Dict 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …icmemory.jl:170; copy 3.706337e+00 1.167312e+00 3.247781e+01 5120 1 50 3.158565e+00 1.167416e+00 3.676198e+01 6000 1 ┌ 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/v1.11/Profile/src/Profile.jl:1240 Overhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x00007cad5e800010 Total snapshots: 250. Utilization: 0% ╎250 @Base/client.jl:531; _start() ╎ 250 @Base/client.jl:323; exec_options(opts::Base.JLOptions) ╎ 250 @Base/Base.jl:562; include(mod::Module, _path::String) ╎ 250 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Module, _pat… ╎ 250 @Base/loading.jl:2734; include_string(mapexpr::typeof(identity), mo… ╎ 250 @Base/boot.jl:430; eval ╎ ╎ 250 @Pkg/src/API.jl:146; kwcall(::@NamedTuple{julia_args::Cmd}, ::typ… ╎ ╎ 250 @Pkg/src/API.jl:146; #test#74 ╎ ╎ 250 @Pkg/src/API.jl:147; test ╎ ╎ 250 @Pkg/src/API.jl:147; #test#75 ╎ ╎ 250 @Pkg/src/API.jl:148; kwcall(::@NamedTuple{julia_args::Cmd}, :… ╎ ╎ ╎ 250 @Pkg/src/API.jl:159; test(pkgs::Vector{Pkg.Types.PackageSpec… ╎ ╎ ╎ 250 @Pkg/src/API.jl:460; kwcall(::@NamedTuple{julia_args::Cmd, … ╎ ╎ ╎ 250 @Pkg/src/API.jl:481; test(ctx::Pkg.Types.Context, pkgs::Ve… ╎ ╎ ╎ 250 …rc/Operations.jl:2011; test ╎ ╎ ╎ 250 …rc/Operations.jl:2067; test(ctx::Pkg.Types.Context, pkg… ╎ ╎ ╎ ╎ 250 …c/Operations.jl:1841; kwcall(::@NamedTuple{preferences… ╎ ╎ ╎ ╎ 250 …c/Operations.jl:1849; #sandbox#115 ╎ ╎ ╎ ╎ 250 @Base/file.jl:815; mktempdir ╎ ╎ ╎ ╎ 250 @Base/file.jl:815; mktempdir(fn::Function, parent::S… ╎ ╎ ╎ ╎ 250 @Base/file.jl:819; mktempdir(fn::Pkg.Operations.var… ╎ ╎ ╎ ╎ ╎ 250 …Operations.jl:1902; (::Pkg.Operations.var"#116#12… ╎ ╎ ╎ ╎ ╎ 250 …Operations.jl:1793; with_temp_env(fn::Pkg.Operat… ╎ ╎ ╎ ╎ ╎ 250 …Operations.jl:1935; (::Pkg.Operations.var"#118#… ╎ ╎ ╎ ╎ ╎ 250 @Base/env.jl:265; withenv(::Pkg.Operations.var"… ╎ ╎ ╎ ╎ ╎ 250 …perations.jl:2086; (::Pkg.Operations.var"#131… ╎ ╎ ╎ ╎ ╎ ╎ 250 …erations.jl:2146; subprocess_handler(cmd::Cm… ╎ ╎ ╎ ╎ ╎ ╎ 250 …/process.jl:687; wait(x::Base.Process) ╎ ╎ ╎ ╎ ╎ ╎ 250 …/process.jl:694; wait(x::Base.Process, syn… ╎ ╎ ╎ ╎ ╎ ╎ 250 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ 250 …ondition.jl:130; wait(c::Base.GenericCon… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 250 …ase/task.jl:1021; wait() 249╎ ╎ ╎ ╎ ╎ ╎ ╎ 250 …ase/task.jl:1012; poptask(W::Base.Intr… [1055] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/sldp_example_one.jl:47 malloc at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) operator new at /workspace/srcdir/gcc-13.2.0/libstdc++-v3/libsupc++/new_op.cc:50 _ZNSt6vectorISt4pairIddESaIS1_EE19_M_emplace_back_auxIJdRdEEEvDpOT_ at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/gen/libhighs.jl:328 [inlined] #42 at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/eRhCr/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/eRhCr/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7ffb2fb5fef2) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #optimize!#104 at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#95 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:507 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:481 unknown function (ip: 0x7ffb2ee6816b) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #_simulate#127 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1371 _simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1323 [inlined] #270 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:849 [inlined] collect_to_with_first! at ./array.jl:827 [inlined] _collect at ./array.jl:821 collect_similar at ./array.jl:720 [inlined] map at ./abstractarray.jl:3371 [inlined] #_simulate#269 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#130 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1540 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1529 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1529 simulator at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 convergence_test at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:989 #267 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7ffb2fb198d7) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #train#111 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x7ffb290e025f) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 _include at ./loading.jl:2794 include at ./sysimg.jl:38 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10 unknown function (ip: 0x7ffb29d383b2) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 PkgEval terminated after 2721.94s: test duration exceeded the time limit