Package evaluation of SDDP on Julia 1.13.0-DEV.1035 (d28a587c89*) started at 2025-08-24T18:59:48.908 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.74s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed Bzip2_jll ──────────── v1.0.9+0 Installed MacroTools ─────────── v0.5.16 Installed URIs ───────────────── v1.6.1 Installed DiffResults ────────── v1.1.0 Installed CodecZlib ──────────── v0.7.8 Installed ConcurrentUtilities ── v2.5.0 Installed RecipesBase ────────── v1.3.4 Installed Compat ─────────────── v4.18.0 Installed ExprTools ──────────── v0.1.10 Installed ExceptionUnwrapping ── v0.1.11 Installed OrderedCollections ─── v1.8.1 Installed TranscodingStreams ─── v0.11.3 Installed DataStructures ─────── v0.19.0 Installed ForwardDiff ────────── v1.0.1 Installed Statistics ─────────── v1.11.1 Installed OpenSSL ────────────── v1.5.0 Installed TimerOutputs ───────── v0.5.29 Installed CommonSubexpressions ─ v0.3.1 Installed LoggingExtras ──────── v1.1.0 Installed PrecompileTools ────── v1.3.2 Installed StaticArraysCore ───── v1.4.3 Installed IrrationalConstants ── v0.2.4 Installed CodecBzip2 ─────────── v0.8.5 Installed NaNMath ────────────── v1.1.3 Installed MbedTLS ────────────── v1.1.9 Installed JSON3 ──────────────── v1.14.3 Installed HTTP ───────────────── v1.10.17 Installed OpenSpecFun_jll ────── v0.5.6+0 Installed BitFlags ───────────── v0.1.9 Installed DiffRules ──────────── v1.15.1 Installed LogExpFunctions ────── v0.3.29 Installed JSON ───────────────── v0.21.4 Installed JuMP ───────────────── v1.28.0 Installed Reexport ───────────── v1.2.2 Installed Parsers ────────────── v2.8.3 Installed SpecialFunctions ───── v2.5.1 Installed Preferences ────────── v1.5.0 Installed SimpleBufferStream ─── v1.2.0 Installed MbedTLS_jll ────────── v2.28.6+2 Installed JLLWrappers ────────── v1.7.1 Installed MutableArithmetics ─── v1.6.4 Installed BenchmarkTools ─────── v1.6.0 Installed StructTypes ────────── v1.11.0 Installed SDDP ───────────────── v1.13.0 Installed DocStringExtensions ── v0.9.5 Installed MathOptInterface ───── v1.43.0 Installing 3 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact Bzip2 503.5 KiB Installed artifact MbedTLS 2.1 MiB Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.13.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.19.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [cd3eb016] + HTTP v1.10.17 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.28.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.43.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.8.12 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 8.69s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4521.7 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompilation completed after 865.9s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_tzAbGZ/Project.toml` [87dc4568] HiGHS v1.19.0 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.19 [f4570300] SDDP v1.13.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_tzAbGZ/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.30.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.0 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.09 plus 2.6 for vertex selection. Node: 2 - elapsed time: 0.03 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.16 plus 0.01 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 2.8924800699999995 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.1 plus 0.06 for vertex selection. Node: 18 - elapsed time: 0.21 plus 0.07 for vertex selection. Node: 17 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 16 - elapsed time: 0.21 plus 0.07 for vertex selection. Node: 15 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 14 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 13 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 12 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 11 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 10 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 9 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 8 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 7 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 6 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 5 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 4 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 3 - elapsed time: 0.22 plus 0.06 for vertex selection. Node: 2 - elapsed time: 0.21 plus 0.07 for vertex selection. Node: 1 - elapsed time: 0.21 plus 0.05 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:401 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 5.416799e-02 4 1 3 0.000000e+00 0.000000e+00 5.886450e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.886450e-01 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 2.470994e-02 9 1 20 7.500000e+04 1.075000e+05 6.960871e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.960871e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.081404e+00 12 1 10 2.500000e+00 3.361111e+01 1.106638e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.106638e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 1.425505e-02 12 1 10 2.500000e+00 3.361111e+01 3.986192e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.986192e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.809017e-03 46 1 50 0.000000e+00 1.191663e+02 4.730802e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.730802e-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 1.044011e-02 46 1 50 0.000000e+00 1.191663e+02 5.021920e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.021920e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 3.752542e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.487511e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.587079e+00 412 1 6S -6.064080e+01 -6.678327e+01 8.827209e+00 618 1 13S -3.268889e+01 -6.677644e+01 1.386588e+01 1339 1 23S -3.268889e+01 -6.677644e+01 2.002552e+01 2369 1 31S -6.068889e+01 -6.677644e+01 2.508599e+01 3193 1 41S -6.068889e+01 -6.677644e+01 3.132495e+01 4223 1 51S -5.268889e+01 -6.677644e+01 3.736689e+01 5253 1 61S -6.068889e+01 -6.677644e+01 4.349756e+01 6283 1 71S -3.268889e+01 -6.677644e+01 4.968057e+01 7313 1 79S -4.168889e+01 -6.677644e+01 5.481067e+01 8137 1 87S -6.068889e+01 -6.677644e+01 5.985697e+01 8961 1 95S -6.468889e+01 -6.677644e+01 6.492996e+01 9785 1 100 -8.368889e+01 -6.677644e+01 6.739166e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.739166e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 1.312971e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.312971e-03 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 3.038929e+02 2 4 20 7.000000e+00 6.000000e+00 3.079295e+02 40 5 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.079295e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.000000e+00 ± 1.044903e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 2.778091e-01 48 1 20 9.000000e+00 6.000000e+00 5.220520e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.220520e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 5.799055e-03 4 1 50 0.000000e+00 0.000000e+00 3.159091e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 3.159091e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1939 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1939 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.322731e+00 5 1 20 0.000000e+00 -1.000000e+01 7.973022e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.973022e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 2.450895e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.234696e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.123998e-02 132 1 20 -2.396000e+01 -2.396000e+01 5.090404e-02 172 1 25 -5.320000e+00 -2.396000e+01 6.365895e-02 224 1 30 -5.320000e+00 -2.396000e+01 7.454991e-02 264 1 35 -2.396000e+01 -2.396000e+01 8.686304e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.963393e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.963393e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 441ms / 19.6% 12.6MiB / 59.5% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 50.2ms 58.0% 1.26ms 5.63MiB 75.4% 144KiB solve_subproblem 160 27.7ms 31.9% 173μs 698KiB 9.1% 4.36KiB get_dual_solution 160 1.22ms 1.4% 7.62μs 180KiB 2.4% 1.12KiB prepare_backward_pass 160 62.2μs 0.1% 389ns 0.00B 0.0% 0.00B forward_pass 40 25.7ms 29.7% 643μs 1.65MiB 22.1% 42.3KiB solve_subproblem 120 23.5ms 27.2% 196μs 1.48MiB 19.8% 12.6KiB get_dual_solution 120 41.8μs 0.0% 348ns 13.1KiB 0.2% 112B sample_scenario 40 422μs 0.5% 10.6μs 24.2KiB 0.3% 620B calculate_bound 40 10.6ms 12.3% 266μs 183KiB 2.4% 4.56KiB get_dual_solution 40 18.1μs 0.0% 452ns 4.38KiB 0.1% 112B get_dual_solution 36 12.3μs 0.0% 341ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 6.051493e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.944203e-02 92 1 15 -2.396000e+01 -2.396000e+01 7.980108e-02 132 1 20 -4.260000e+01 -2.396000e+01 9.128499e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.065321e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.217701e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.386921e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.580930e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.580930e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 166ms / 87.5% 14.6MiB / 94.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 107ms 74.1% 2.69ms 11.9MiB 86.6% 305KiB solve_subproblem 160 28.4ms 19.6% 177μs 700KiB 5.0% 4.37KiB get_dual_solution 160 1.33ms 0.9% 8.28μs 180KiB 1.3% 1.12KiB prepare_backward_pass 160 71.3μs 0.0% 446ns 0.00B 0.0% 0.00B forward_pass 40 25.7ms 17.8% 644μs 1.65MiB 12.0% 42.3KiB solve_subproblem 120 23.4ms 16.1% 195μs 1.48MiB 10.8% 12.6KiB get_dual_solution 120 44.2μs 0.0% 368ns 13.1KiB 0.1% 112B sample_scenario 40 448μs 0.3% 11.2μs 24.3KiB 0.2% 623B calculate_bound 40 11.7ms 8.1% 294μs 184KiB 1.3% 4.61KiB get_dual_solution 40 19.4μs 0.0% 484ns 4.38KiB 0.0% 112B get_dual_solution 36 12.5μs 0.0% 348ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 1.840000e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.859770e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.869080e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.876969e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.884880e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.892500e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.900351e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.908791e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.916881e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.925151e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.933169e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.941690e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.950240e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.958921e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.967840e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.976910e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.986110e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.995280e-01 94 1 19 -1.000000e+00 -2.000000e+00 2.004721e-01 99 1 20 -3.000000e+00 -2.000000e+00 2.013910e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.031620e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.041471e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.051260e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.061181e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.071440e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.081590e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.091851e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.102280e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.112911e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.123439e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.133920e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.145011e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.155921e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.167211e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.178860e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.190480e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.202010e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.213690e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.225959e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.238040e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.238040e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 2.898080e-01 51 1 21 8.151871e+01 2.236176e+02 1.291247e+00 3723 1 30 2.138334e+03 2.336430e+02 2.915973e+00 7674 1 38 8.025312e+02 2.352957e+02 4.196926e+00 10194 1 46 1.737622e+02 2.358930e+02 5.313676e+00 12054 1 56 1.051492e+02 2.360772e+02 6.345486e+00 13608 1 63 1.493193e+03 2.362190e+02 7.945955e+00 15909 1 72 1.044387e+02 2.362973e+02 9.054003e+00 17364 1 98 5.715017e+02 2.364082e+02 1.436264e+01 23094 1 100 4.969839e+02 2.364135e+02 1.522870e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.522870e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 7.804708e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.081406e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.397982e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.714034e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.066813e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.403416e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.740482e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.088695e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.601969e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.977884e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.977884e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 4.398570e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.245559e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.141900e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.960839e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.807761e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.080624e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.293270e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.402632e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.626399e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.742858e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.860960e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.985820e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.105431e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.232894e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.360553e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.497325e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.634033e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.768453e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.792160e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.792160e+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 4.000282e-02 54 1 20 3.336455e+05 3.402383e+05 5.405188e-02 104 1 30 3.993519e+05 3.403155e+05 6.647801e-02 158 1 40 3.337559e+05 3.403155e+05 7.825398e-02 208 1 48 3.337559e+05 3.403155e+05 8.943200e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.943200e-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 3.746986e-02 92 1 20 4.506600e+05 4.054833e+05 6.043792e-02 172 1 30 3.959476e+05 4.067125e+05 8.252692e-02 264 1 40 4.497721e+05 4.067125e+05 1.036189e-01 344 1 47 3.959476e+05 4.067125e+05 1.200418e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.200418e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 6.816302e+00 14 1 40 2.308500e+03 4.074139e+03 7.649208e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.649208e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 2.389524e+00 8 1 6L 4.000000e+04 6.250000e+04 3.494963e+00 60 1 16L 6.000000e+04 6.250000e+04 4.662412e+00 140 1 20L 6.000000e+04 6.250000e+04 5.384471e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.384471e+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 1.837611e-02 8 1 15 5.500000e+04 6.250000e+04 1.026163e+00 132 1 20 4.000000e+04 6.250000e+04 1.355656e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.355656e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 6.247187e-02 5 1 10 4.000000e+04 6.250000e+04 7.419989e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.419989e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 3.278420e-01 6 1 20L 9.000000e+00 9.000000e+00 4.309771e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.309771e-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 1.004700e+00 87 1 10 -1.109375e+01 2.605769e-01 1.017701e+00 142 1 15 3.105797e+00 5.434132e-01 1.032118e+00 197 1 20 -2.463349e+01 1.503415e+00 1.047012e+00 252 1 25 -1.421085e-14 1.514085e+00 1.061620e+00 307 1 30 4.864000e+01 1.514085e+00 3.305381e+00 394 1 35 4.864000e+01 1.514085e+00 3.319378e+00 449 1 40 -8.870299e+00 1.514085e+00 3.334359e+00 504 1 45 -1.428571e+00 1.514085e+00 3.349274e+00 559 1 48 -1.428571e+00 1.514085e+00 3.359474e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.359474e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 9.458458e-01 278 1 20 1.440356e+01 1.278425e+00 9.876800e-01 428 1 30 8.388546e+00 1.278425e+00 1.057555e+00 706 1 40 6.666667e-03 1.278410e+00 1.101780e+00 856 1 50 -5.614035e+00 1.278410e+00 1.177398e+00 1134 1 60 1.426676e+01 1.278410e+00 1.228184e+00 1284 1 64 1.261296e+01 1.278410e+00 1.248920e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.248920e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 9.621406e-02 278 1 20 1.111084e+01 1.278410e+00 1.499460e-01 428 1 30 2.293779e+01 1.278410e+00 2.331431e-01 706 1 40 1.426676e+01 1.278410e+00 3.111651e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.111651e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 6.136694e+00 900 1 20 6.374753e+00 1.361934e+01 6.522606e+00 1720 1 30 2.848217e+01 1.624016e+01 7.403942e+00 3036 1 40 1.973944e+01 1.776547e+01 8.476006e+00 4192 1 50 4.000000e+00 1.889360e+01 9.312122e+00 5020 1 60 1.142478e+01 1.907862e+01 1.022789e+01 5808 1 70 9.386421e+00 1.961295e+01 1.116229e+01 6540 1 80 5.667851e+01 1.890911e+01 1.176234e+01 7088 1 90 3.740597e+01 1.993139e+01 1.265631e+01 8180 1 100 9.867183e+00 2.001688e+01 1.325719e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.325719e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.338720e+00 36 1 10 0.000000e+00 0.000000e+00 3.384894e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.384894e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 7.571936e-03 407 1 10 2.850000e+02 5.728212e+02 7.290506e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.290506e-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 7.488966e-03 778 1 10 2.825000e+02 3.465177e+02 6.660008e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.660008e-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 6.778002e-03 1149 1 10 2.587500e+02 2.052799e+02 6.568408e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.568408e-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 7.465124e-03 1520 1 10 2.875000e+02 4.661908e+02 7.295513e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.295513e-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 7.857084e-03 1891 1 10 1.000000e+02 1.129771e+02 7.075214e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.075214e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 7.984161e-03 2262 1 10 1.625000e+02 2.794553e+02 7.288504e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.288504e-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 7.879972e-03 2633 1 10 5.487500e+02 4.077574e+02 7.310796e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.310796e-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 8.049011e-03 3004 1 10 6.771875e+02 5.210100e+02 7.446289e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.446289e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.082867e-03 3375 1 10 5.312500e+01 5.938345e+01 9.145498e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.145498e-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 1.424845e+00 235 1 10 1.000000e+01 9.159200e+00 1.903943e+00 310 1 15 1.000000e+01 9.159200e+00 2.438001e+00 385 1 20 1.000000e+01 9.159200e+00 2.950921e+00 460 1 25 1.000000e+01 9.159200e+00 5.909474e+00 695 1 30 4.000000e+00 9.159200e+00 6.422448e+00 770 1 35 1.000000e+01 9.159200e+00 6.911924e+00 845 1 40 1.000000e+01 9.159200e+00 7.456487e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.456487e+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 1.370901e+00 510 1 20 1.000000e+01 6.834387e+00 3.097904e+00 720 1 30 7.000000e+00 6.834387e+00 7.135865e+00 1230 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1050 running 1 of 1 signal (10): User defined signal 1 _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/QyCeQ/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/QyCeQ/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x73c723103222) at (unknown file) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/Ue9wj/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/Ue9wj/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 #calculate_bound#84 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:920 calculate_bound at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:880 [inlined] calculate_bound at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:880 unknown function (ip: 0x73c723128aa7) at (unknown file) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:979 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x73c723108861) at (unknown file) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 #train#91 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] booking_management at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/booking_management.jl:99 unknown function (ip: 0x73c7201d206f) at (unknown file) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1939 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10 unknown function (ip: 0x73c7230e4252) at (unknown file) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_68479.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_71327.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 jl_apply at /source/src/julia.h:2378 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x73c74d926249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== 40 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1200 wait_forever at ./task.jl:1137 jfptr_wait_forever_63342.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 jl_apply at /source/src/julia.h:2378 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000070e051403d00 Total snapshots: 431. Utilization: 0% ╎431 @Base/task.jl:1137 wait_forever() 430╎ 431 @Base/task.jl:1200 wait() ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 1.000000e+01Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000073c733400010 Total snapshots: 110. Utilization: 100% ╎100 @Base/client.jl:563 _start() ╎ 100 @Base/client.jl:296 exec_options(opts::Base.JLOptions) ╎ 100 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ 100 @Base/Base.jl:310 (::Base.IncludeInto)(fname::String) ╎ 100 @Base/Base.jl:309 include(mapexpr::Function, mod::Module, _path::St… ╎ 100 @Base/loading.jl:2923 _include(mapexpr::Function, mod::Module, _pa… ╎ ╎ 100 @Base/loading.jl:2863 include_string(mapexpr::typeof(identity), m… ╎ ╎ 100 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 100 …YL/test/runtests.jl:10 util_test_directory(dir::String) ╎ ╎ 100 …L/test/runtests.jl:14 util_test_directory(dir::String, exclud… ╎ ╎ 100 @Test/src/Test.jl:1939 macro expansion ╎ ╎ ╎ 100 …L/test/runtests.jl:16 macro expansion ╎ ╎ ╎ 100 @Base/Base.jl:310 IncludeInto ╎ ╎ ╎ 100 @Base/Base.jl:309 include(mapexpr::Function, mod::Module, … ╎ ╎ ╎ 100 @Base/loading.jl:2923 _include(mapexpr::Function, mod::Mo… ╎ ╎ ╎ 100 @Base/loading.jl:2863 include_string(mapexpr::typeof(ide… ╎ ╎ ╎ ╎ 100 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 100 …g_management.jl:99 booking_management(duality_handler… ╎ ╎ ╎ ╎ 100 @SDDP/…orithm.jl:1116 train ╎ ╎ ╎ ╎ 100 @SDDP/…orithm.jl:1291 train(model::SDDP.PolicyGraph{… ╎ ╎ ╎ ╎ 100 @SDDP/…chemes.jl:49 master_loop(::SDDP.Serial, mode… ╎ ╎ ╎ ╎ ╎ 100 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ 100 @SDDP/…hemes.jl:50 (::SDDP.var"#master_loop##0#ma… ╎ ╎ ╎ ╎ ╎ 10 @SDDP/…ithm.jl:965 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 10 @SDDP/…sses.jl:99 forward_pass(model::SDDP.Poli… ╎ ╎ ╎ ╎ ╎ 10 @SDDP/…ithm.jl:11 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 10 @SDDP/…ses.jl:100 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 10 @SDDP/…thm.jl:491 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 10 @SDDP/…hm.jl:517 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 10 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ 10 @JuMP/…ce.jl:609 optimize!(model::Model; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @MathOptInterface/…:379 optimize!(m::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @HiGHS/…r.jl:2236 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @HiGHS/…r.jl:2236 #47 10╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @HiGHS/…s.jl:328 Highs_run ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ithm.jl:969 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ithm.jl:675 backward_pass(model::SDDP.Po… ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ithm.jl:831 solve_all_children(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:491 kwcall(::@NamedTuple{dualit… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:517 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:609 optimize!(model::Model; i… ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:379 optimize!(m::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2236 optimize!(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:2236 #47 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:328 Highs_run ╎ ╎ ╎ ╎ ╎ 89 @SDDP/…ithm.jl:979 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 89 @SDDP/…ithm.jl:880 kwcall(::@NamedTuple{risk_me… ╎ ╎ ╎ ╎ ╎ 89 @SDDP/…ithm.jl:880 calculate_bound ╎ ╎ ╎ ╎ ╎ ╎ 89 @SDDP/…thm.jl:920 calculate_bound(model::SDDP… ╎ ╎ ╎ ╎ ╎ ╎ 89 @SDDP/…thm.jl:491 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 89 @SDDP/…hm.jl:517 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 89 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ 89 @JuMP/…ce.jl:609 optimize!(model::Model; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 89 @MathOptInterface/…:379 optimize!(m::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 89 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 89 @HiGHS/…r.jl:2236 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 89 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ 89 @HiGHS/…r.jl:2236 #47 88╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 89 @HiGHS/…s.jl:328 Highs_run 6.823805e+00 9.328907e+00 1440 1 50 3.000000e+00 6.823805e+00 2.614387e+01 1950 1 [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1200 wait_forever at ./task.jl:1137 jfptr_wait_forever_63342.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4011 [inlined] ijl_apply_generic at /source/src/gf.c:4208 jl_apply at /source/src/julia.h:2378 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 24488223 (Pool: 24487513; Big: 710); GC: 26 [1050] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/booking_management.jl:107 malloc at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: (nil)) at (unknown file) unknown function (ip: (nil)) at (unknown file) Allocations: 545048843 (Pool: 545045317; Big: 3526); GC: 100 PkgEval terminated after 2722.8s: test duration exceeded the time limit