Package evaluation of SDDP on Julia 1.13.0-DEV.1216 (bcb9a929e5*) started at 2025-09-28T18:45:52.689 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.56s ################################################################################ # Installation # Installing SDDP... Resolving package versions... 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 v0.19.1 [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 v1.2.1 [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 v1.29.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.45.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.6 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [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 v2025.9.9 [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 5.67s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 49.57s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_AWWg1P/Project.toml` [87dc4568] HiGHS v1.19.0 [b6b21f68] Ipopt v1.11.0 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.41.1 [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_AWWg1P/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 v3.31.0 [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 v0.19.1 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Testing Running tests... [ Info: Experimental.jl Precompiling packages... 10670.3 ms ✓ MathOptIIS 35869.4 ms ✓ HiGHS 2 dependencies successfully precompiled in 48 seconds. 52 already precompiled. [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.12 plus 17.26 for vertex selection. Node: 2 - elapsed time: 0.04 plus 0.02 for vertex selection. Node: 1 - elapsed time: 0.04 plus 0.02 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 17.494800365 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.15 plus 0.06 for vertex selection. Node: 18 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 17 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 16 - elapsed time: 0.17 plus 0.06 for vertex selection. Node: 15 - elapsed time: 0.18 plus 0.06 for vertex selection. Node: 14 - elapsed time: 0.18 plus 0.06 for vertex selection. Node: 13 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 12 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 11 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 10 - elapsed time: 0.19 plus 0.07 for vertex selection. Node: 9 - elapsed time: 0.21 plus 0.07 for vertex selection. Node: 8 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 7 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 6 - elapsed time: 0.18 plus 0.07 for vertex selection. Node: 5 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 4 - elapsed time: 0.2 plus 0.07 for vertex selection. Node: 3 - elapsed time: 0.21 plus 0.07 for vertex selection. Node: 2 - elapsed time: 0.21 plus 0.07 for vertex selection. Node: 1 - elapsed time: 0.2 plus 0.06 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 4.930210e-02 4 1 3 0.000000e+00 0.000000e+00 5.683451e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.683451e-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 2.508402e-02 9 1 20 7.500000e+04 1.075000e+05 6.353180e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.353180e-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 1.069045e+00 12 1 10 2.500000e+00 3.361111e+01 1.094288e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.094288e+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 1.375508e-02 12 1 10 2.500000e+00 3.361111e+01 3.597903e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.597903e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.032400e-02 46 1 50 0.000000e+00 1.191663e+02 4.965799e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.965799e-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 1.038694e-02 46 1 50 0.000000e+00 1.191663e+02 4.940369e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.940369e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl Precompiling packages... 47356.5 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 48 seconds. 78 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 3.868056e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.503112e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.551675e+00 412 1 6S -6.064080e+01 -6.678327e+01 8.800636e+00 618 1 7S -6.493167e+01 -6.677772e+01 9.867216e+00 721 1 17S -6.068889e+01 -6.677644e+01 1.576656e+01 1751 1 27S -6.068889e+01 -6.677644e+01 2.176194e+01 2781 1 37S -7.668889e+01 -6.677644e+01 2.791604e+01 3811 1 47S -5.768889e+01 -6.677644e+01 3.391886e+01 4841 1 57S -8.368889e+01 -6.677644e+01 3.994099e+01 5871 1 67S -7.668889e+01 -6.677644e+01 4.593035e+01 6901 1 77S -6.468889e+01 -6.677644e+01 5.185079e+01 7931 1 87S -6.068889e+01 -6.677644e+01 5.780317e+01 8961 1 97S -6.068889e+01 -6.677644e+01 6.397166e+01 9991 1 100 -8.368889e+01 -6.677644e+01 6.518430e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.518430e+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 1.879930e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.879930e-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 From worker 5: Precompiling packages... From worker 3: Precompiling packages... From worker 4: Precompiling packages... From worker 2: Precompiling packages... From worker 2: SDDP Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 3: SDDP Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 4: SDDP Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: 45960.5 ms ✓ SDDP From worker 5: 1 dependency successfully precompiled in 53 seconds. 70 already precompiled. From worker 4: 45864.1 ms ✓ SDDP From worker 4: 1 dependency successfully precompiled in 53 seconds. 70 already precompiled. From worker 2: 46328.2 ms ✓ SDDP From worker 2: 1 dependency successfully precompiled in 53 seconds. 70 already precompiled. From worker 3: 46980.4 ms ✓ SDDP From worker 3: 1 dependency successfully precompiled in 54 seconds. 70 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+00 6.000000e+00 3.020304e+02 2 4 20 3.000000e+00 6.000000e+00 3.050656e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.050656e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.100000e+00 ± 1.081978e+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 2.785199e-01 48 1 parallel_schemes.jl: Error During Test at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:13 Got exception outside of a @test LoadError: On worker 2: The index MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.GreaterThan{Float64}}(157) is invalid. Note that an index becomes invalid after it has been deleted. Stacktrace: [1] trap_error @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:203 [3] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::Nothing, log_every_seconds::Float64, log_every_iteration::Bool, run_numerical_stability_report::Bool, stopping_rules::Vector{SDDP.IterationLimit}, risk_measure::SDDP.Expectation, root_node_risk_measure::SDDP.Expectation, sampling_scheme::SDDP.InSampleMonteCarlo, cut_type::SDDP.CutType, cycle_discretization_delta::Float64, refine_at_similar_nodes::Bool, cut_deletion_minimum::Int64, backward_sampling_scheme::SDDP.CompleteSampler, dashboard::Bool, parallel_scheme::SDDP.Asynchronous, forward_pass::SDDP.DefaultForwardPass, forward_pass_resampling_probability::Nothing, add_to_existing_cuts::Bool, duality_handler::SDDP.ContinuousConicDuality{Nothing}, forward_pass_callback::SDDP.var"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1306 [2] train @ ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] [3] test_async_solve() @ Main ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:176 [4] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [6] IncludeInto @ ./Base.jl:311 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [9] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/39RYL/test/runtests.jl:14 [10] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [12] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [17] _start() @ Base ./client.jl:563 in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 caused by: On worker 2: The index MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.GreaterThan{Float64}}(157) is invalid. Note that an index becomes invalid after it has been deleted. Stacktrace: [1] trap_error @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:203 [3] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:465 [2] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [3] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [4] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [5] wait @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:586 [inlined] [6] _broadcast_getindex_evalf @ ./broadcast.jl:701 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:674 [inlined] [8] _getindex @ ./broadcast.jl:622 [inlined] [9] getindex @ ./broadcast.jl:618 [inlined] [10] macro expansion @ ./broadcast.jl:997 [inlined] [11] macro expansion @ ./simdloop.jl:77 [inlined] [12] copyto! @ ./broadcast.jl:996 [inlined] [13] copyto! @ ./broadcast.jl:949 [inlined] [14] copy @ ./broadcast.jl:921 [inlined] [15] materialize @ ./broadcast.jl:896 [inlined] [16] master_loop(async::SDDP.Asynchronous, model::SDDP.PolicyGraph{Int64}, options::SDDP.Options{Int64}) @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:265 [17] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::Nothing, log_every_seconds::Float64, log_every_iteration::Bool, run_numerical_stability_report::Bool, stopping_rules::Vector{SDDP.IterationLimit}, risk_measure::SDDP.Expectation, root_node_risk_measure::SDDP.Expectation, sampling_scheme::SDDP.InSampleMonteCarlo, cut_type::SDDP.CutType, cycle_discretization_delta::Float64, refine_at_similar_nodes::Bool, cut_deletion_minimum::Int64, backward_sampling_scheme::SDDP.CompleteSampler, dashboard::Bool, parallel_scheme::SDDP.Asynchronous, forward_pass::SDDP.DefaultForwardPass, forward_pass_resampling_probability::Nothing, add_to_existing_cuts::Bool, duality_handler::SDDP.ContinuousConicDuality{Nothing}, forward_pass_callback::SDDP.var"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 [18] train @ ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] [19] test_async_solve() @ Main ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:176 [20] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] IncludeInto @ ./Base.jl:311 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [25] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/39RYL/test/runtests.jl:14 [26] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [28] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [30] top-level scope @ none:6 [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [33] _start() @ Base ./client.jl:563 [ 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 7.738113e-03 4 1 50 0.000000e+00 0.000000e+00 2.675869e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.675869e-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 Precompiling packages... 9218.4 ms ✓ ColorSchemes 1748.2 ms ✓ Cairo_jll 3492.4 ms ✓ Qt6Base_jll 16847.6 ms ✓ PlotUtils 1637.7 ms ✓ HarfBuzz_jll 1696.1 ms ✓ Qt6ShaderTools_jll 9495.7 ms ✓ PlotThemes 8528.8 ms ✓ RecipesPipeline 1548.9 ms ✓ libass_jll 1559.5 ms ✓ Pango_jll 1774.2 ms ✓ Qt6Declarative_jll 2051.5 ms ✓ FFMPEG_jll 1583.8 ms ✓ libdecor_jll 1783.4 ms ✓ Qt6Wayland_jll 1356.5 ms ✓ FFMPEG 4707.6 ms ✓ GLFW_jll 2380.2 ms ✓ GR_jll 6344.3 ms ✓ GR 100435.4 ms ✓ Plots 19 dependencies successfully precompiled in 180 seconds. 156 already precompiled. Precompiling packages... 1876.8 ms ✓ ColorVectorSpace → SpecialFunctionsExt 1 dependency successfully precompiled in 3 seconds. 19 already precompiled. From worker 2: Precompiling packages... From worker 3: Precompiling packages... From worker 4: Precompiling packages... From worker 5: Precompiling packages... From worker 3: SparseArraysExt Being precompiled by another process (pid: 168, pidfile: /home/pkgeval/.julia/compiled/v1.13/SparseArraysExt/FqfzH_eJM3J.ji.pidfile) From worker 2: SparseArraysExt Being precompiled by another process (pid: 168, pidfile: /home/pkgeval/.julia/compiled/v1.13/SparseArraysExt/FqfzH_eJM3J.ji.pidfile) From worker 5: SparseArraysExt Being precompiled by another process (pid: 168, pidfile: /home/pkgeval/.julia/compiled/v1.13/SparseArraysExt/FqfzH_eJM3J.ji.pidfile) From worker 4: 21824.0 ms ✓ Latexify → SparseArraysExt From worker 3: 21964.4 ms ✓ Latexify → SparseArraysExt From worker 3: Plots Being precompiled by another process (pid: 168, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: 22231.9 ms ✓ Latexify → SparseArraysExt From worker 2: Plots Being precompiled by another process (pid: 168, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 5: 21916.8 ms ✓ Latexify → SparseArraysExt From worker 5: Plots Being precompiled by another process (pid: 168, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 4: 102745.0 ms ✓ Plots From worker 4: 2 dependencies successfully precompiled in 133 seconds. 173 already precompiled. From worker 5: 103813.9 ms ✓ Plots From worker 5: 2 dependencies successfully precompiled in 134 seconds. 173 already precompiled. From worker 3: 109876.6 ms ✓ Plots From worker 3: 2 dependencies successfully precompiled in 140 seconds. 173 already precompiled. From worker 2: 112896.1 ms ✓ Plots From worker 2: 2 dependencies successfully precompiled in 143 seconds. 173 already precompiled. From worker 4: Precompiling packages... From worker 4: 6873.1 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 4: 1 dependency successfully precompiled in 10 seconds. 19 already precompiled. 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:751 [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:1952 [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:751 [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:1952 [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 7.288708e+00 5 1 20 0.000000e+00 -1.000000e+01 7.910174e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.910174e+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 2.987003e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.796196e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.802704e-02 132 1 20 -2.396000e+01 -2.396000e+01 5.928802e-02 172 1 25 -5.320000e+00 -2.396000e+01 7.258296e-02 224 1 30 -5.320000e+00 -2.396000e+01 8.517385e-02 264 1 35 -2.396000e+01 -2.396000e+01 9.961104e-02 304 1 40 -2.396000e+01 -2.396000e+01 1.157510e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.157510e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 454ms / 20.7% 12.6MiB / 59.5% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 55.7ms 59.3% 1.39ms 5.65MiB 75.3% 145KiB solve_subproblem 160 28.9ms 30.7% 180μs 711KiB 9.3% 4.44KiB get_dual_solution 160 1.49ms 1.6% 9.33μs 185KiB 2.4% 1.16KiB prepare_backward_pass 160 65.0μs 0.1% 407ns 0.00B 0.0% 0.00B forward_pass 40 27.4ms 29.1% 685μs 1.67MiB 22.3% 42.7KiB solve_subproblem 120 24.7ms 26.3% 206μs 1.50MiB 20.0% 12.8KiB get_dual_solution 120 54.3μs 0.1% 452ns 13.1KiB 0.2% 112B sample_scenario 40 523μs 0.6% 13.1μs 24.2KiB 0.3% 620B calculate_bound 40 10.9ms 11.6% 272μs 184KiB 2.4% 4.61KiB get_dual_solution 40 23.4μs 0.0% 584ns 4.38KiB 0.1% 112B get_dual_solution 36 26.2μs 0.0% 728ns 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 5.952787e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.965995e-02 92 1 15 -2.396000e+01 -2.396000e+01 2.390981e-01 132 1 20 -4.260000e+01 -2.396000e+01 2.527339e-01 172 1 25 -5.320000e+00 -2.396000e+01 2.690549e-01 224 1 30 -2.396000e+01 -2.396000e+01 2.850111e-01 264 1 35 -2.396000e+01 -2.396000e+01 3.031430e-01 304 1 40 -5.320000e+00 -2.396000e+01 3.230340e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.230340e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 336ms / 90.7% 14.8MiB / 94.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 267ms 87.8% 6.69ms 12.1MiB 86.7% 310KiB solve_subproblem 160 29.5ms 9.7% 184μs 712KiB 5.0% 4.45KiB get_dual_solution 160 1.33ms 0.4% 8.28μs 185KiB 1.3% 1.16KiB prepare_backward_pass 160 71.1μs 0.0% 445ns 0.00B 0.0% 0.00B forward_pass 40 25.8ms 8.5% 645μs 1.67MiB 12.0% 42.7KiB solve_subproblem 120 23.4ms 7.7% 195μs 1.50MiB 10.7% 12.8KiB get_dual_solution 120 55.0μs 0.0% 458ns 13.1KiB 0.1% 112B sample_scenario 40 502μs 0.2% 12.5μs 24.3KiB 0.2% 623B calculate_bound 40 11.4ms 3.7% 285μs 186KiB 1.3% 4.66KiB get_dual_solution 40 20.1μs 0.0% 503ns 4.38KiB 0.0% 112B get_dual_solution 36 13.8μs 0.0% 385ns 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 1.779160e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.806710e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.824231e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.834280e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.841841e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.850350e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.865611e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.876550e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.891561e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.900070e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.914520e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.922951e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.930671e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.939950e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.956789e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.973710e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.984541e-01 89 1 18 -3.000000e+00 -2.000000e+00 2.000232e-01 94 1 19 -1.000000e+00 -2.000000e+00 2.017751e-01 99 1 20 -3.000000e+00 -2.000000e+00 2.028620e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.057850e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.074752e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.094080e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.109962e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.125812e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.150991e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.173412e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.187541e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.211800e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.237391e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.262452e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.280791e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.305710e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.330701e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.357340e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.375631e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.391431e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.406681e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.428811e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.453480e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.453480e-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 2.919979e-01 51 1 24 2.178733e+02 2.251256e+02 1.315180e+00 3972 1 30 2.138334e+03 2.336430e+02 2.806795e+00 7674 1 38 8.025312e+02 2.352957e+02 4.170979e+00 10194 1 46 1.737622e+02 2.358930e+02 5.304107e+00 12054 1 56 1.051492e+02 2.360772e+02 6.321421e+00 13608 1 63 1.493193e+03 2.362190e+02 8.117337e+00 15909 1 71 1.519535e+02 2.362929e+02 9.166960e+00 17205 1 97 1.870302e+02 2.364036e+02 1.424945e+01 22527 1 100 4.969839e+02 2.364135e+02 1.565411e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.565411e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 8.016422e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.081455e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.381441e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.688210e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.140180e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.476213e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.821413e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.173763e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.526982e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.891765e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.891765e+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 4.253461e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.068562e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.020340e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.887931e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.869790e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.087361e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.289193e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.394057e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.604539e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.716420e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.831505e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.951843e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.067091e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.190783e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.318555e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.456152e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.588627e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.720505e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.745349e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.745349e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 2.367496e-02 54 1 20 3.336455e+05 3.402383e+05 3.691483e-02 104 1 30 3.993519e+05 3.403155e+05 4.779387e-02 158 1 40 3.337559e+05 3.403155e+05 6.212401e-02 208 1 48 3.337559e+05 3.403155e+05 7.586884e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.586884e-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 3.814697e-02 92 1 20 4.506600e+05 4.054833e+05 5.939102e-02 172 1 30 3.959476e+05 4.067125e+05 7.966089e-02 264 1 40 4.497721e+05 4.067125e+05 9.906793e-02 344 1 47 3.959476e+05 4.067125e+05 1.153939e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.153939e-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 6.467502e+00 14 1 40 2.308500e+03 4.074139e+03 7.320067e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.320067e+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 2.457249e+00 8 1 6L 4.000000e+04 6.250000e+04 3.533913e+00 60 1 16L 6.000000e+04 6.250000e+04 4.716760e+00 140 1 20L 6.000000e+04 6.250000e+04 5.412703e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.412703e+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 1.577687e-02 8 1 16 4.000000e+04 6.250000e+04 1.062774e+00 140 1 20 4.000000e+04 6.250000e+04 1.320807e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.320807e+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 7.379913e-02 5 1 10 4.000000e+04 6.250000e+04 7.250381e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.250381e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 2.925251e-01 6 1 20L 9.000000e+00 9.000000e+00 3.832939e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.832939e-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 8.460510e-01 87 1 10 -1.109375e+01 2.605769e-01 8.559229e-01 142 1 15 3.105797e+00 5.434132e-01 8.709090e-01 197 1 20 -2.463349e+01 1.503415e+00 8.862350e-01 252 1 25 -1.421085e-14 1.514085e+00 8.997991e-01 307 1 30 4.864000e+01 1.514085e+00 2.899408e+00 394 1 35 4.864000e+01 1.514085e+00 2.911337e+00 449 1 40 -8.870299e+00 1.514085e+00 2.925562e+00 504 1 45 -1.428571e+00 1.514085e+00 2.939964e+00 559 1 48 -1.428571e+00 1.514085e+00 2.950800e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.950800e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 8.509071e-01 278 1 20 1.440356e+01 1.278425e+00 8.827112e-01 428 1 30 8.388546e+00 1.278425e+00 9.385021e-01 706 1 40 6.666667e-03 1.278410e+00 9.721241e-01 856 1 50 -5.614035e+00 1.278410e+00 1.028795e+00 1134 1 60 1.426676e+01 1.278410e+00 1.069719e+00 1284 1 64 1.261296e+01 1.278410e+00 1.087400e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.087400e+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 7.975197e-02 278 1 20 1.111084e+01 1.278410e+00 1.248569e-01 428 1 30 2.293779e+01 1.278410e+00 2.011859e-01 706 1 40 1.426676e+01 1.278410e+00 2.750709e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.750709e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 5.594837e+00 900 1 20 6.374753e+00 1.361934e+01 5.879807e+00 1720 1 30 2.848217e+01 1.624016e+01 6.697159e+00 3036 1 40 1.973944e+01 1.776547e+01 7.549218e+00 4192 1 50 4.000000e+00 1.889360e+01 8.313531e+00 5020 1 60 1.142478e+01 1.907862e+01 9.189412e+00 5808 1 70 9.386421e+00 1.961295e+01 1.021937e+01 6540 1 80 5.667851e+01 1.890911e+01 1.088919e+01 7088 1 90 3.740597e+01 1.993139e+01 1.379832e+01 8180 1 100 9.867183e+00 2.001688e+01 1.453036e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.453036e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 2.910418e+00 36 1 10 0.000000e+00 0.000000e+00 2.949620e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.949620e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 6.416082e-03 407 1 10 2.850000e+02 5.728212e+02 6.246805e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.246805e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 6.429195e-03 778 1 10 2.825000e+02 3.465177e+02 6.133413e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.133413e-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 6.397009e-03 1149 1 10 2.587500e+02 2.052799e+02 6.146598e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.146598e-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 7.250071e-03 1520 1 10 2.875000e+02 4.661908e+02 6.743813e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.743813e-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 6.758213e-03 1891 1 10 1.000000e+02 1.129771e+02 5.997801e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.997801e-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 7.179976e-03 2262 1 10 1.625000e+02 2.794553e+02 6.807113e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.807113e-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 7.616997e-03 2633 1 10 5.487500e+02 4.077574e+02 7.090783e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.090783e-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 8.059978e-03 3004 1 10 6.771875e+02 5.210100e+02 7.203507e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.203507e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 7.763147e-03 3375 1 10 5.312500e+01 5.938345e+01 7.143307e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.143307e-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 1.371697e+00 235 1 10 1.000000e+01 9.159200e+00 1.874642e+00 310 1 15 1.000000e+01 9.159200e+00 2.437197e+00 385 1 20 1.000000e+01 9.159200e+00 2.947567e+00 460 1 25 1.000000e+01 9.159200e+00 5.820197e+00 695 1 30 4.000000e+00 9.159200e+00 6.299242e+00 770 1 35 1.000000e+01 9.159200e+00 6.774253e+00 845 1 40 1.000000e+01 9.159200e+00 7.300805e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.300805e+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 1.398917e+00 510 1 20 1.000000e+01 6.834387e+00 3.065874e+00 720 1 30 7.000000e+00 6.834387e+00 6.937015e+00 1230 1 40 1.000000e+01 6.823805e+00 8.573047e+00 1440 1 50 3.000000e+00 6.823805e+00 1.269785e+01 1950 1 60 2.000000e+00 6.823805e+00 1.437792e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.437792e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.331183e+01 920 1 20 6.049875e+06 2.075240e+06 1.591589e+01 1340 1 30 5.496647e+05 2.078257e+06 2.855446e+01 2260 1 40 3.985383e+04 2.078257e+06 3.141953e+01 2680 1 50 2.994548e+05 2.078257e+06 4.503032e+01 3600 1 60 3.799457e+06 2.078257e+06 4.797256e+01 4020 1 61 3.549665e+06 2.078257e+06 4.827430e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.827430e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.551379e+01 920 1 20L 2.799668e+06 2.079457e+06 5.805908e+01 1340 1 30L 3.799443e+06 2.079457e+06 9.239192e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.149742e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.149742e+02 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.188534e+02 2.355121e+00 1914 1 200 0.000000e+00 1.191645e+02 2.730434e+00 3840 1 300 7.500000e+01 1.191666e+02 3.107103e+00 5738 1 328 2.500000e+00 1.191667e+02 3.183927e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.183927e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 5.760009e-01 2806 1 200 0.000000e+00 1.191666e+02 1.042770e+00 4749 1 287 5.000000e+00 1.191667e+02 1.360793e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.360793e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 1.461751e-01 1033 1 20 8.000000e+00 2.000000e+01 1.756811e-01 1209 1 30 1.200000e+01 2.000000e+01 3.304670e-01 2304 1 40 3.000000e+01 2.000000e+01 4.209931e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.209931e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2) sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] 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 [1e+00, 5e+01] bounds range [2e+01, 2e+02] rhs range [8e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.948878e+03 2.847167e+03 8.447695e-02 35 1 10 7.500000e+02 2.935390e+03 1.533630e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.533630e-01 total solves : 350 best bound : 2.935390e+03 simulation ci : 1.544902e+03 ± 5.533339e+02 numeric issues : 0 ------------------------------------------------------------------- Building and solving inner model for upper bounds: Node: 3 - elapsed time: 0.29 plus 0.67 for vertex selection. Node: 2 - elapsed time: 0.03 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.02 plus 0.01 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 1.0267830210000002 Bounds: Risk-neutral confidence interval: 1411.99 ± 82.02 Risk-adjusted lower bound: 2935.39 Risk-adjusted upper bound: 2969.68 [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 5.987883e-03 3 1 40 2.000000e+00 2.000000e+00 8.389401e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.389401e-02 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 8.572559e-01 1350 1 20 5.062500e+00 4.110713e+00 1.048475e+00 2700 1 30 4.500000e+00 4.104200e+00 1.247866e+00 4050 1 40 3.812500e+00 4.102669e+00 1.466651e+00 5400 1 50 4.725000e+00 4.095504e+00 1.696286e+00 6750 1 60 4.050000e+00 4.092999e+00 1.931738e+00 8100 1 70 4.606250e+00 4.091524e+00 2.175539e+00 9450 1 80 3.875000e+00 4.089694e+00 2.408645e+00 10800 1 90 3.750000e+00 4.089490e+00 2.647271e+00 12150 1 100 5.125000e+00 4.087894e+00 2.880732e+00 13500 1 110 4.500000e+00 4.087478e+00 3.143685e+00 14850 1 120 3.650000e+00 4.086704e+00 3.390093e+00 16200 1 130 4.406250e+00 4.086063e+00 3.655549e+00 17550 1 140 3.375000e+00 4.085981e+00 3.910622e+00 18900 1 150 3.000000e+00 4.085945e+00 4.190033e+00 20250 1 160 3.812500e+00 4.085838e+00 4.472649e+00 21600 1 170 4.250000e+00 4.085728e+00 4.899210e+00 22950 1 180 3.243750e+00 4.085593e+00 5.170483e+00 24300 1 190 4.306250e+00 4.085487e+00 5.445914e+00 25650 1 200 5.237500e+00 4.085446e+00 5.756416e+00 27000 1 210 4.500000e+00 4.085441e+00 6.052236e+00 28350 1 220 3.612500e+00 4.085405e+00 6.349201e+00 29700 1 230 3.700000e+00 4.085382e+00 6.659171e+00 31050 1 240 3.437500e+00 4.085254e+00 6.960440e+00 32400 1 250 4.100000e+00 4.085115e+00 7.246121e+00 33750 1 260 3.000000e+00 4.084973e+00 7.577732e+00 35100 1 270 4.918750e+00 4.084943e+00 7.880086e+00 36450 1 280 2.756250e+00 4.084920e+00 8.203720e+00 37800 1 290 3.737500e+00 4.084868e+00 8.520515e+00 39150 1 300 5.750000e+00 4.084868e+00 8.837695e+00 40500 1 310 5.156250e+00 4.084858e+00 9.158216e+00 41850 1 320 3.131250e+00 4.084855e+00 9.476818e+00 43200 1 330 4.125000e+00 4.084846e+00 9.817211e+00 44550 1 340 5.875000e+00 4.084820e+00 1.015759e+01 45900 1 350 4.587500e+00 4.084810e+00 1.048599e+01 47250 1 360 5.087500e+00 4.084805e+00 1.084879e+01 48600 1 370 4.393750e+00 4.084802e+00 1.118180e+01 49950 1 380 4.750000e+00 4.084792e+00 1.151250e+01 51300 1 390 4.437500e+00 4.084785e+00 1.186301e+01 52650 1 400 4.181250e+00 4.084785e+00 1.220460e+01 54000 1 410 3.650000e+00 4.084777e+00 1.256172e+01 55350 1 420 3.750000e+00 4.084769e+00 1.292258e+01 56700 1 430 3.725000e+00 4.084762e+00 1.328249e+01 58050 1 440 4.218750e+00 4.084751e+00 1.377157e+01 59400 1 450 5.500000e+00 4.084751e+00 1.412569e+01 60750 1 460 3.637500e+00 4.084747e+00 1.446100e+01 62100 1 470 2.993750e+00 4.084743e+00 1.480072e+01 63450 1 480 5.237500e+00 4.084743e+00 1.514985e+01 64800 1 490 4.212500e+00 4.084743e+00 1.548948e+01 66150 1 500 3.843750e+00 4.084743e+00 1.585626e+01 67500 1 510 3.425000e+00 4.084743e+00 1.618901e+01 68850 1 520 4.293750e+00 4.084743e+00 1.653911e+01 70200 1 530 2.818750e+00 4.084740e+00 1.691037e+01 71550 1 540 4.668750e+00 4.084740e+00 1.726196e+01 72900 1 550 2.750000e+00 4.084740e+00 1.761555e+01 74250 1 560 4.100000e+00 4.084740e+00 1.801535e+01 75600 1 570 3.200000e+00 4.084738e+00 1.840015e+01 76950 1 580 3.525000e+00 4.084738e+00 1.877883e+01 78300 1 590 3.125000e+00 4.084738e+00 1.911337e+01 79650 1 600 4.875000e+00 4.084736e+00 1.950894e+01 81000 1 610 4.050000e+00 4.084736e+00 1.988850e+01 82350 1 613 4.875000e+00 4.084733e+00 2.001036e+01 82755 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001036e+01 total solves : 82755 best bound : 4.084733e+00 simulation ci : 4.069168e+00 ± 6.099287e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.643750e+00 6.371048e+00 4.940228e-01 1350 1 20 3.000000e+00 4.731931e+00 1.395847e+00 2700 1 30 4.350000e+00 4.730528e+00 2.572342e+00 4050 1 40 3.225000e+00 4.730333e+00 4.117696e+00 5400 1 50 3.500000e+00 4.728452e+00 6.020195e+00 6750 1 60 2.725000e+00 4.054236e+00 7.930379e+00 8100 1 70 4.437500e+00 4.048919e+00 9.896455e+00 9450 1 80 4.218750e+00 4.048674e+00 1.212843e+01 10800 1 90 2.968750e+00 4.039258e+00 1.471578e+01 12150 1 100 4.125000e+00 4.039221e+00 1.775366e+01 13500 1 107 4.875000e+00 4.039211e+00 2.015928e+01 14445 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.015928e+01 total solves : 14445 best bound : 4.039211e+00 simulation ci : 4.013047e+00 ± 1.416457e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 From worker 5: From worker 5: ====================================================================================== From worker 5: Information request received. A stacktrace will print followed by a 1.0 second profile. From worker 5: --trace-compile is enabled during profile collection. From worker 5: ====================================================================================== From worker 5: From worker 5: cmd: /opt/julia/bin/julia 171 running 0 of 1 From worker 5: From worker 5: signal (10): User defined signal 1 From worker 5: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 5: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 5: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 5: ijl_task_get_next at /source/src/scheduler.c:457 From worker 5: wait at ./task.jl:1200 From worker 5: wait_forever at ./task.jl:1137 From worker 5: jfptr_wait_forever_72924.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:4116 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4313 From worker 5: jl_apply at /source/src/julia.h:2271 [inlined] From worker 5: start_task at /source/src/task.c:1281 From worker 5: unknown function (ip: (nil)) at (unknown file) From worker 5: From worker 5: From worker 5: ============================================================== From worker 5: Profile collected. A report will print at the next yield point. From worker 5: Disabling --trace-compile From worker 5: ============================================================== From worker 5: From worker 5: ┌ Warning: There were no samples collected in one or more groups. From worker 5: │ This may be due to idle threads, or you may need to run your From worker 5: │ program longer (perhaps by running it multiple times), From worker 5: │ or adjust the delay between samples with `Profile.init()`. From worker 5: └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 From worker 5: Overhead ╎ [+additional indent] Count File:Line Function From worker 5: ========================================================= From worker 5: Thread 1 (default) Task 0x0000726abd3fd960 Total snapshots: 306. Utilization: 0% From worker 5: ╎306 @Base/task.jl:1137 wait_forever() From worker 5: 305╎ 306 @Base/task.jl:1200 wait() From worker 5: From worker 4: From worker 4: ====================================================================================== From worker 4: Information request received. A stacktrace will print followed by a 1.0 second profile. From worker 4: --trace-compile is enabled during profile collection. From worker 4: ====================================================================================== From worker 4: From worker 4: cmd: /opt/julia/bin/julia 168 running 0 of 1 From worker 4: From worker 4: signal (10): User defined signal 1 From worker 4: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 4: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 4: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 4: ijl_task_get_next at /source/src/scheduler.c:457 From worker 4: wait at ./task.jl:1200 From worker 4: wait_forever at ./task.jl:1137 From worker 4: jfptr_wait_forever_72924.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:4116 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4313 From worker 4: jl_apply at /source/src/julia.h:2271 [inlined] From worker 4: start_task at /source/src/task.c:1281 From worker 4: unknown function (ip: (nil)) at (unknown file) From worker 4: From worker 4: From worker 4: ============================================================== From worker 4: Profile collected. A report will print at the next yield point. From worker 4: Disabling --trace-compile From worker 4: ============================================================== From worker 4: 3.219176e+00 1.165102e+00 3.239186e+01 1680 1 From worker 3: 20 From worker 3: ====================================================================================== From worker 3: Information request received. A stacktrace will print followed by a 1.0 second profile. From worker 3: --trace-compile is enabled during profile collection. From worker 3: ====================================================================================== From worker 3: From worker 3: cmd: /opt/julia/bin/julia 167 running 0 of 1 From worker 3: From worker 3: signal (10): User defined signal 1 From worker 3: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 3: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 3: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 3: ijl_task_get_next at /source/src/scheduler.c:457 From worker 3: wait at ./task.jl:1200 From worker 3: wait_forever at ./task.jl:1137 From worker 3: jfptr_wait_forever_72924.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 3: _jl_invoke at /source/src/gf.c:4116 [inlined] From worker 3: ijl_apply_generic at /source/src/gf.c:4313 From worker 3: jl_apply at /source/src/julia.h:2271 [inlined] From worker 3: start_task at /source/src/task.c:1281 From worker 3: unknown function (ip: (nil)) at (unknown file) From worker 3: From worker 3: From worker 3: ============================================================== From worker 3: Profile collected. A report will print at the next yield point. From worker 3: Disabling --trace-compile From worker 3: ============================================================== From worker 3: 2.078810e+00 1.166281e+00 3.693705e+01 2560 1 From worker 2: 30 From worker 2: ====================================================================================== From worker 2: Information request received. A stacktrace will print followed by a 1.0 second profile. From worker 2: --trace-compile is enabled during profile collection. From worker 2: ====================================================================================== From worker 2: From worker 2: cmd: /opt/julia/bin/julia 163 running 0 of 1 From worker 2: From worker 2: signal (10): User defined signal 1 From worker 2: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 2: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 2: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 2: ijl_task_get_next at /source/src/scheduler.c:457 3.973033e+00 1.166907e+00 4.295190e+01 3440 1 From worker 4: ┌ Warning: There were no samples collected in one or more groups. ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 19 running 1 of 1 signal (10): User defined signal 1 _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/zq9bo/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/zq9bo/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x70805bbaeff2) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 unknown function (ip: 0x70805b49c82c) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1334 [inlined] #226 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:886 [inlined] collect_to_with_first! at ./array.jl:864 [inlined] _collect at ./array.jl:858 collect_similar at ./array.jl:763 [inlined] map at ./abstractarray.jl:3390 [inlined] #_simulate#224 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:999 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x70805bbb0f21) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #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] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x7080387b18cf) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [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:690 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:793 jl_eval_toplevel_stmts at /source/src/toplevel.c:622 jl_toplevel_eval_flex at /source/src/toplevel.c:734 ijl_toplevel_eval at /source/src/toplevel.c:805 ijl_toplevel_eval_in at /source/src/toplevel.c:850 eval at ./boot.jl:489 include_string at ./loading.jl:2914 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:2974 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [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:1952 [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: 0x70805bb8c0e2) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [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:690 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 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:793 jl_eval_toplevel_stmts at /source/src/toplevel.c:622 jl_toplevel_eval_flex at /source/src/toplevel.c:734 ijl_toplevel_eval at /source/src/toplevel.c:805 ijl_toplevel_eval_in at /source/src/toplevel.c:850 eval at ./boot.jl:489 include_string at ./loading.jl:2914 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:2974 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_24410.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [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:690 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:793 jl_eval_toplevel_stmts at /source/src/toplevel.c:622 jl_toplevel_eval_flex at /source/src/toplevel.c:734 ijl_toplevel_eval at /source/src/toplevel.c:805 ijl_toplevel_eval_in at /source/src/toplevel.c:850 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_51780.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [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: 0x70809851e249) 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. Disabling --trace-compile ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== 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_72924.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] start_task at /source/src/task.c:1281 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ 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 0x000070c441607670 Total snapshots: 61. Utilization: 0% ╎61 @Base/task.jl:1137 wait_forever() 60╎ 61 @Base/task.jl:1200 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1200 wait_forever at ./task.jl:1137 jfptr_wait_forever_72924.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] start_task at /source/src/task.c:1281 unknown function (ip: (nil)) at (unknown file) Allocations: 23695576 (Pool: 23694949; Big: 627); GC: 18 [19] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/sldp_example_one.jl:47 unknown function (ip: 0x70809857d193) at /lib/x86_64-linux-gnu/libc.so.6 unknown function (ip: 0x708098584c7d) at /lib/x86_64-linux-gnu/libc.so.6 _ZN15HighsSplitDeque10WorkerBunk11publishWorkEPS_ at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData30startAnalyticCenterComputationERKN5highs8parallel9TaskGroupE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData16evaluateRootNodeEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/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/zq9bo/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/zq9bo/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x70805bbaeff2) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 unknown function (ip: 0x70805b49c82c) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1334 [inlined] #226 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:886 [inlined] collect_to_with_first! at ./array.jl:864 [inlined] _collect at ./array.jl:858 collect_similar at ./array.jl:763 [inlined] map at ./abstractarray.jl:3390 [inlined] #_simulate#224 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:999 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x70805bbb0f21) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #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] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x7080387b18cf) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [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:690 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:793 jl_eval_toplevel_stmts at /source/src/toplevel.c:622 jl_toplevel_eval_flex at /source/src/toplevel.c:734 ijl_toplevel_eval at /source/src/toplevel.c:805 ijl_toplevel_eval_in at /source/src/toplevel.c:850 eval at ./boot.jl:489 include_string at ./loading.jl:2914 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:2974 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [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:1952 [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: 0x70805bb8c0e2) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [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:690 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 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:793 jl_eval_toplevel_stmts at /source/src/toplevel.c:622 jl_toplevel_eval_flex at /source/src/toplevel.c:734 ijl_toplevel_eval at /source/src/toplevel.c:805 ijl_toplevel_eval_in at /source/src/toplevel.c:850 eval at ./boot.jl:489 include_string at ./loading.jl:2914 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:2974 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_24410.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [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:690 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:793 jl_eval_toplevel_stmts at /source/src/toplevel.c:622 jl_toplevel_eval_flex at /source/src/toplevel.c:734 ijl_toplevel_eval at /source/src/toplevel.c:805 ijl_toplevel_eval_in at /source/src/toplevel.c:850 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_51780.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [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: 0x70809851e249) 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) Allocations: 603543771 (Pool: 603540103; Big: 3668); GC: 142 PkgEval terminated after 2767.43s: test duration exceeded the time limit