Package evaluation to test SDDP on Julia 1.12.4 (8c145c1e0e*) started at 2026-01-27T01:13:09.842 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 7.91s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [f4570300] + SDDP v1.13.1 Updating `~/.julia/environments/v1.12/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.3 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.3.1 [cd3eb016] + HTTP v1.10.19 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.4.0 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.29.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.48.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.7 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.6.1 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.1 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [ec057cc2] + StructUtils v2.6.2 [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 v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 5.06s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 27367.2 ms ✓ SDDP 1 dependency successfully precompiled in 37 seconds. 214 already precompiled. Precompilation completed after 47.82s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_BWTKtW/Project.toml` [87dc4568] HiGHS v1.20.1 [b6b21f68] Ipopt v1.14.0 [682c06a0] JSON v1.4.0 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.4 [f4570300] SDDP v1.13.1 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.12.1 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_BWTKtW/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.3 [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 v4.18.1 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 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Testing Running tests... [ Info: Experimental.jl Precompiling packages... 37932.8 ms ✓ HiGHS 1 dependency successfully precompiled in 39 seconds. 56 already precompiled. Precompiling packages... 1490.4 ms ✓ JSONSchema 1 dependency successfully precompiled in 2 seconds. 22 already precompiled. Precompiling packages... 1496.9 ms ✓ JSONSchema → JSONSchemaJSON3Ext 1 dependency successfully precompiled in 2 seconds. 26 already precompiled. [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.4 plus 10.0 for vertex selection. Node: 2 - elapsed time: 0.31 plus 0.29 for vertex selection. Node: 1 - elapsed time: 0.31 plus 0.29 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 11.611778860999998 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/ScjyB/src/Inner.jl:1048 Node: 19 - elapsed time: 0.39 plus 0.34 for vertex selection. Node: 18 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 17 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 16 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 15 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 14 - elapsed time: 0.46 plus 0.33 for vertex selection. Node: 13 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 12 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 11 - elapsed time: 0.48 plus 0.33 for vertex selection. Node: 10 - elapsed time: 0.46 plus 0.34 for vertex selection. Node: 9 - elapsed time: 0.48 plus 0.33 for vertex selection. Node: 8 - elapsed time: 0.46 plus 0.33 for vertex selection. Node: 7 - elapsed time: 0.46 plus 0.34 for vertex selection. Node: 6 - elapsed time: 0.47 plus 0.33 for vertex selection. Node: 5 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 4 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 3 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 2 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 1 - elapsed time: 0.48 plus 0.33 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/ScjyB/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 6.034050e-01 4 1 3 0.000000e+00 0.000000e+00 1.155150e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.155150e+00 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.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 4.757609e-01 9 1 20 7.500000e+04 1.075000e+05 1.209334e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.209334e+00 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/ScjyB/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/ScjyB/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/ScjyB/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 1.616981e+00 12 1 10 2.500000e+00 3.361111e+01 1.642569e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.642569e+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 4.518080e-01 12 1 10 2.500000e+00 3.361111e+01 4.919951e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.919951e-01 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 1.062083e-02 46 1 50 0.000000e+00 1.191663e+02 6.287909e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.287909e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.613037e-03 46 1 50 0.000000e+00 1.191663e+02 5.323629e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.323629e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.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 3.473007e+00 103 1 3S -5.785826e+01 -6.755367e+01 5.185967e+00 309 1 4S -6.230988e+01 -6.688020e+01 6.209198e+00 412 1 5S -7.577792e+01 -6.680771e+01 7.316607e+00 515 1 6S -6.064080e+01 -6.678327e+01 8.435275e+00 618 1 13S -3.268889e+01 -6.677644e+01 1.394988e+01 1339 1 21S -8.368889e+01 -6.677644e+01 1.915502e+01 2163 1 31S -6.068889e+01 -6.677644e+01 2.508924e+01 3193 1 41S -6.068889e+01 -6.677644e+01 3.097706e+01 4223 1 51S -5.268889e+01 -6.677644e+01 3.691017e+01 5253 1 61S -6.068889e+01 -6.677644e+01 4.289115e+01 6283 1 71S -3.268889e+01 -6.677644e+01 4.880557e+01 7313 1 81S -6.468889e+01 -6.677644e+01 5.481859e+01 8343 1 91S -6.068889e+01 -6.677644e+01 6.076827e+01 9373 1 100 -8.368889e+01 -6.677644e+01 6.549798e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.549798e+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 1.596928e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.596928e-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/ScjyB/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 2: Precompiling packages... From worker 4: Precompiling packages... From worker 3: Precompiling packages... From worker 5: Precompiling packages... From worker 3: SDDP Being precompiled by another process (pid: 37392, pidfile: /home/pkgeval/.julia/compiled/v1.12/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 4: SDDP Being precompiled by another process (pid: 37392, pidfile: /home/pkgeval/.julia/compiled/v1.12/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: SDDP Being precompiled by another process (pid: 37392, pidfile: /home/pkgeval/.julia/compiled/v1.12/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 2: 28294.8 ms ✓ SDDP From worker 2: 1 dependency successfully precompiled in 35 seconds. 71 already precompiled. From worker 4: 28384.4 ms ✓ SDDP From worker 4: 1 dependency successfully precompiled in 35 seconds. 71 already precompiled. From worker 5: 28992.8 ms ✓ SDDP From worker 5: 1 dependency successfully precompiled in 36 seconds. 71 already precompiled. From worker 3: 29719.8 ms ✓ SDDP From worker 3: 1 dependency successfully precompiled in 37 seconds. 71 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} : [1, 1] 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 9.000000e+00 6.000000e+00 2.993159e+02 2 2 20 5.000000e+00 6.000000e+00 3.046640e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.046640e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.200000e+00 ± 1.079172e+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/ScjyB/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 5.431731e-01 48 1 parallel_schemes.jl: Error During Test at /home/pkgeval/.julia/packages/SDDP/ScjyB/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/ScjyB/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:203 [3] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.12/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/ScjyB/src/algorithm.jl:1306 [2] train @ ~/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1116 [inlined] [3] test_async_solve() @ Main ~/.julia/packages/SDDP/ScjyB/test/plugins/parallel_schemes.jl:176 [4] top-level scope @ ~/.julia/packages/SDDP/ScjyB/test/plugins/parallel_schemes.jl:233 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [6] IncludeInto @ ./Base.jl:308 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:16 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [9] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:14 [10] top-level scope @ ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:25 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [12] macro expansion @ ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [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:283 [17] _start() @ Base ./client.jl:550 in expression starting at /home/pkgeval/.julia/packages/SDDP/ScjyB/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/ScjyB/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:203 [3] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.12/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/v1.12/Distributed/src/remotecall.jl:465 [2] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}) @ Distributed /opt/julia/share/julia/stdlib/v1.12/Distributed/src/remotecall.jl:454 [3] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/remotecall.jl:492 [inlined] [4] call_on_owner @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/remotecall.jl:565 [inlined] [5] wait @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/remotecall.jl:586 [inlined] [6] _broadcast_getindex_evalf @ ./broadcast.jl:699 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:672 [inlined] [8] _getindex @ ./broadcast.jl:620 [inlined] [9] getindex @ ./broadcast.jl:616 [inlined] [10] macro expansion @ ./broadcast.jl:995 [inlined] [11] macro expansion @ ./simdloop.jl:77 [inlined] [12] copyto! @ ./broadcast.jl:994 [inlined] [13] copyto! @ ./broadcast.jl:947 [inlined] [14] copy @ ./broadcast.jl:919 [inlined] [15] materialize @ ./broadcast.jl:894 [inlined] [16] master_loop(async::SDDP.Asynchronous, model::SDDP.PolicyGraph{Int64}, options::SDDP.Options{Int64}) @ SDDP ~/.julia/packages/SDDP/ScjyB/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/ScjyB/src/algorithm.jl:1291 [18] train @ ~/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1116 [inlined] [19] test_async_solve() @ Main ~/.julia/packages/SDDP/ScjyB/test/plugins/parallel_schemes.jl:176 [20] top-level scope @ ~/.julia/packages/SDDP/ScjyB/test/plugins/parallel_schemes.jl:233 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [22] IncludeInto @ ./Base.jl:308 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:16 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [25] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:14 [26] top-level scope @ ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:25 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [28] macro expansion @ ~/.julia/packages/SDDP/ScjyB/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [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:283 [33] _start() @ Base ./client.jl:550 [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/ScjyB/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/ScjyB/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 3.121068e-01 4 1 50 0.000000e+00 0.000000e+00 4.889610e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 4.889610e-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/ScjyB/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/ScjyB/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/ScjyB/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl Precompiling packages... 9179.6 ms ✓ Latexify 2505.8 ms ✓ Latexify → SparseArraysExt 118262.6 ms ✓ Plots 3 dependencies successfully precompiled in 132 seconds. 174 already precompiled. From worker 5: Precompiling packages... From worker 4: Precompiling packages... From worker 2: Precompiling packages... From worker 3: Precompiling packages... From worker 4: RecipesPipeline Being precompiled by another process (pid: 37400, pidfile: /home/pkgeval/.julia/compiled/v1.12/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 3: RecipesPipeline Being precompiled by another process (pid: 37400, pidfile: /home/pkgeval/.julia/compiled/v1.12/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 2: RecipesPipeline Being precompiled by another process (pid: 37400, pidfile: /home/pkgeval/.julia/compiled/v1.12/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 5: 28221.4 ms ✓ RecipesPipeline From worker 4: 27095.5 ms ✓ RecipesPipeline From worker 4: Plots Being precompiled by another process (pid: 37400, pidfile: /home/pkgeval/.julia/compiled/v1.12/Plots/ld3vC_eJM3J.ji.pidfile) From worker 3: 27390.3 ms ✓ RecipesPipeline From worker 3: Plots Being precompiled by another process (pid: 37400, pidfile: /home/pkgeval/.julia/compiled/v1.12/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: 27911.6 ms ✓ RecipesPipeline From worker 2: Plots Being precompiled by another process (pid: 37400, pidfile: /home/pkgeval/.julia/compiled/v1.12/Plots/ld3vC_eJM3J.ji.pidfile) From worker 5: 124586.4 ms ✓ Plots From worker 5: 2 dependencies successfully precompiled in 162 seconds. 175 already precompiled. From worker 4: 126051.7 ms ✓ Plots From worker 4: 2 dependencies successfully precompiled in 164 seconds. 175 already precompiled. From worker 3: 128585.0 ms ✓ Plots From worker 3: 2 dependencies successfully precompiled in 165 seconds. 175 already precompiled. From worker 2: 132041.8 ms ✓ Plots From worker 2: 2 dependencies successfully precompiled in 169 seconds. 175 already precompiled. ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/ScjyB/test/visualization/visualization.jl:51 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 6.144580e+00 5 1 20 0.000000e+00 -1.000000e+01 6.799578e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.799578e+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.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 5.988338e-01 52 1 10 -2.396000e+01 -2.396000e+01 6.073580e-01 92 1 15 -4.260000e+01 -2.396000e+01 6.163180e-01 132 1 20 -2.396000e+01 -2.396000e+01 6.262178e-01 172 1 25 -5.320000e+00 -2.396000e+01 6.393738e-01 224 1 30 -5.320000e+00 -2.396000e+01 6.513028e-01 264 1 35 -2.396000e+01 -2.396000e+01 6.641140e-01 304 1 40 -2.396000e+01 -2.396000e+01 6.764388e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.764388e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 1.04s / 62.4% 11.6MiB / 52.2% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 587ms 90.6% 14.7ms 659KiB 10.6% 16.5KiB solve_subproblem 120 585ms 90.3% 4.88ms 486KiB 7.8% 4.05KiB get_dual_solution 120 42.3μs 0.0% 353ns 13.1KiB 0.2% 112B sample_scenario 40 338μs 0.1% 8.46μs 22.3KiB 0.4% 572B backward_pass 40 50.8ms 7.8% 1.27ms 5.25MiB 86.4% 134KiB solve_subproblem 160 27.1ms 4.2% 169μs 746KiB 12.0% 4.66KiB get_dual_solution 160 1.33ms 0.2% 8.29μs 195KiB 3.1% 1.22KiB prepare_backward_pass 160 96.3μs 0.0% 602ns 15.0KiB 0.2% 96.0B calculate_bound 40 10.0ms 1.5% 249μs 185KiB 3.0% 4.63KiB get_dual_solution 40 19.9μs 0.0% 497ns 4.38KiB 0.1% 112B get_dual_solution 36 13.3μs 0.0% 369ns 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.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 4.495220e-01 52 1 10 -2.396000e+01 -2.396000e+01 4.596081e-01 92 1 15 -2.396000e+01 -2.396000e+01 4.717569e-01 132 1 20 -4.260000e+01 -2.396000e+01 4.854760e-01 172 1 25 -5.320000e+00 -2.396000e+01 5.031731e-01 224 1 30 -2.396000e+01 -2.396000e+01 5.206921e-01 264 1 35 -2.396000e+01 -2.396000e+01 5.411680e-01 304 1 40 -5.320000e+00 -2.396000e+01 5.606651e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.606651e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 568ms / 93.7% 12.3MiB / 93.8% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 301ms 56.6% 7.53ms 10.7MiB 92.8% 274KiB solve_subproblem 160 253ms 47.5% 1.58ms 747KiB 6.3% 4.67KiB get_dual_solution 160 1.39ms 0.3% 8.68μs 195KiB 1.7% 1.22KiB prepare_backward_pass 160 145μs 0.0% 905ns 15.0KiB 0.1% 96.0B forward_pass 40 219ms 41.2% 5.48ms 659KiB 5.6% 16.5KiB solve_subproblem 120 217ms 40.7% 1.81ms 486KiB 4.1% 4.05KiB get_dual_solution 120 47.8μs 0.0% 398ns 13.1KiB 0.1% 112B sample_scenario 40 481μs 0.1% 12.0μs 22.5KiB 0.2% 575B calculate_bound 40 11.9ms 2.2% 296μs 187KiB 1.6% 4.67KiB get_dual_solution 40 17.7μs 0.0% 442ns 4.38KiB 0.0% 112B get_dual_solution 36 13.4μs 0.0% 372ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 4.603958e-01 5 1 2 -2.500000e+00 -2.000000e+00 4.634709e-01 14 1 3 -1.000000e+00 -2.000000e+00 4.662738e-01 19 1 4 -1.000000e+00 -2.000000e+00 4.671190e-01 24 1 5 -1.000000e+00 -2.000000e+00 4.780688e-01 29 1 6 -3.000000e+00 -2.000000e+00 4.791110e-01 34 1 7 -1.000000e+00 -2.000000e+00 4.800229e-01 39 1 8 -1.000000e+00 -2.000000e+00 4.809239e-01 44 1 9 -3.000000e+00 -2.000000e+00 4.819648e-01 49 1 10 -1.000000e+00 -2.000000e+00 4.836309e-01 54 1 11 -3.000000e+00 -2.000000e+00 4.852438e-01 59 1 12 -3.000000e+00 -2.000000e+00 4.863288e-01 64 1 13 -1.000000e+00 -2.000000e+00 4.881279e-01 69 1 14 -1.000000e+00 -2.000000e+00 4.892588e-01 74 1 15 -3.000000e+00 -2.000000e+00 4.903469e-01 79 1 16 -1.000000e+00 -2.000000e+00 4.923120e-01 84 1 17 -3.000000e+00 -2.000000e+00 4.934738e-01 89 1 18 -3.000000e+00 -2.000000e+00 4.946158e-01 94 1 19 -1.000000e+00 -2.000000e+00 4.963078e-01 99 1 20 -3.000000e+00 -2.000000e+00 4.973919e-01 104 1 21 -1.000000e+00 -2.000000e+00 5.003488e-01 113 1 22 -1.000000e+00 -2.000000e+00 5.017200e-01 118 1 23 -3.000000e+00 -2.000000e+00 5.029600e-01 123 1 24 -3.000000e+00 -2.000000e+00 5.046370e-01 128 1 25 -1.000000e+00 -2.000000e+00 5.058129e-01 133 1 26 -3.000000e+00 -2.000000e+00 5.071180e-01 138 1 27 -3.000000e+00 -2.000000e+00 5.092218e-01 143 1 28 -1.000000e+00 -2.000000e+00 5.107439e-01 148 1 29 -3.000000e+00 -2.000000e+00 5.122278e-01 153 1 30 -3.000000e+00 -2.000000e+00 5.136728e-01 158 1 31 -1.000000e+00 -2.000000e+00 5.153790e-01 163 1 32 -1.000000e+00 -2.000000e+00 5.177798e-01 168 1 33 -1.000000e+00 -2.000000e+00 5.193319e-01 173 1 34 -3.000000e+00 -2.000000e+00 5.206389e-01 178 1 35 -1.000000e+00 -2.000000e+00 5.219400e-01 183 1 36 -3.000000e+00 -2.000000e+00 5.234468e-01 188 1 37 -1.000000e+00 -2.000000e+00 5.256519e-01 193 1 38 -1.000000e+00 -2.000000e+00 5.272589e-01 198 1 39 -1.000000e+00 -2.000000e+00 5.287688e-01 203 1 40 -1.000000e+00 -2.000000e+00 5.301049e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.301049e-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 1.000579e+00 51 1 15 8.300208e+02 2.129048e+02 2.157424e+00 2745 1 30 2.138334e+03 2.336430e+02 3.802991e+00 7674 1 38 8.025312e+02 2.352957e+02 5.109949e+00 10194 1 46 1.737622e+02 2.358930e+02 6.213324e+00 12054 1 57 6.154394e+01 2.360915e+02 7.228834e+00 13671 1 63 1.493193e+03 2.362190e+02 8.815280e+00 15909 1 72 1.044387e+02 2.362973e+02 9.907283e+00 17364 1 99 4.184450e+02 2.364095e+02 1.511883e+01 23469 1 100 4.969839e+02 2.364135e+02 1.553823e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.553823e+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.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 1.283396e+00 1400 1 20 -4.764789e+00 -4.394789e+00 1.587835e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.904630e+00 4200 1 40 -4.483495e+00 -4.370632e+00 2.213789e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.547081e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.879903e+00 8400 1 70 -4.849916e+00 -4.355337e+00 3.231493e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.594393e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.955539e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.321089e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.321089e+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.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 8.764710e-01 1050 1 20 -1.529197e+00 -1.471817e+00 9.558790e-01 1600 1 30 -1.410768e+00 -1.471408e+00 1.139746e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.227809e+00 3200 1 50 -1.002277e+00 -1.471216e+00 1.424708e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.523541e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.720721e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.819814e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.013375e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.117794e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.217858e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.325349e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.452102e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.573250e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.691776e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.819744e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.945185e+00 11850 1 180 -1.494909e+00 -1.471075e+00 3.068418e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.091874e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.091874e+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.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 3.680201e-01 54 1 20 3.336455e+05 3.402383e+05 3.817220e-01 104 1 30 3.993519e+05 3.403155e+05 3.946240e-01 158 1 40 3.337559e+05 3.403155e+05 6.817660e-01 208 1 48 3.337559e+05 3.403155e+05 8.097811e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.097811e-01 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 3.793662e-01 92 1 20 4.506600e+05 4.054833e+05 4.005702e-01 172 1 30 3.959476e+05 4.067125e+05 4.233301e-01 264 1 40 4.497721e+05 4.067125e+05 4.438691e-01 344 1 47 3.959476e+05 4.067125e+05 4.625931e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.625931e-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 7.127210e+00 14 1 40 2.308500e+03 4.074139e+03 7.935110e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.935110e+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.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 2.762155e+00 8 1 5L 4.000000e+04 6.250000e+04 3.927422e+00 52 1 11L 4.000000e+04 6.250000e+04 5.020893e+00 100 1 17L 4.000000e+04 6.250000e+04 6.104075e+00 148 1 20L 6.000000e+04 6.250000e+04 6.751943e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.751943e+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.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 5.802100e-01 8 1 15 5.500000e+04 6.250000e+04 1.650320e+00 132 1 20 4.000000e+04 6.250000e+04 2.032435e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.032435e+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 7.907491e-01 5 1 10 4.000000e+04 6.250000e+04 1.546179e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.546179e+00 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 5.567141e-01 6 1 20L 9.000000e+00 9.000000e+00 6.931541e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.931541e-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 2.209064e+00 87 1 10 -1.109375e+01 2.605769e-01 2.221831e+00 142 1 15 3.105797e+00 5.434132e-01 2.234964e+00 197 1 20 -2.463349e+01 1.503415e+00 2.249304e+00 252 1 25 -1.421085e-14 1.514085e+00 2.262914e+00 307 1 30 4.864000e+01 1.514085e+00 4.474665e+00 394 1 35 4.864000e+01 1.514085e+00 4.488008e+00 449 1 40 -8.870299e+00 1.514085e+00 4.503270e+00 504 1 45 -1.428571e+00 1.514085e+00 4.518625e+00 559 1 48 -1.428571e+00 1.514085e+00 4.528357e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.528357e+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.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 1.932712e+00 278 1 20 1.440356e+01 1.278425e+00 1.971474e+00 428 1 30 8.388546e+00 1.278425e+00 2.037420e+00 706 1 40 6.666667e-03 1.278410e+00 2.081874e+00 856 1 50 -5.614035e+00 1.278410e+00 2.150334e+00 1134 1 60 1.426676e+01 1.278410e+00 2.195262e+00 1284 1 64 1.261296e+01 1.278410e+00 2.214510e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.214510e+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.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 6.877110e-01 278 1 20 1.111084e+01 1.278410e+00 7.393780e-01 428 1 30 2.293779e+01 1.278410e+00 8.193250e-01 706 1 40 1.426676e+01 1.278410e+00 8.939850e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.939850e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 6.209698e+00 900 1 20 6.374753e+00 1.361934e+01 6.912757e+00 1720 1 30 2.848217e+01 1.624016e+01 7.722045e+00 3036 1 40 1.973944e+01 1.776547e+01 8.673578e+00 4192 1 50 4.000000e+00 1.889360e+01 9.432207e+00 5020 1 60 1.142478e+01 1.907862e+01 1.033355e+01 5808 1 70 9.386421e+00 1.961295e+01 1.122519e+01 6540 1 80 5.667851e+01 1.890911e+01 1.192800e+01 7088 1 90 3.740597e+01 1.993139e+01 1.340306e+01 8180 1 100 9.867183e+00 2.001688e+01 1.407781e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.407781e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.623002e+00 36 1 10 0.000000e+00 0.000000e+00 3.679613e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.679613e+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 8.677959e-03 407 1 10 2.850000e+02 5.728212e+02 8.392215e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.392215e-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 8.969069e-03 778 1 10 2.825000e+02 3.465177e+02 7.742786e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.742786e-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 7.643938e-03 1149 1 10 2.587500e+02 2.052799e+02 7.644486e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.644486e-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 8.712053e-03 1520 1 10 2.875000e+02 4.661908e+02 8.409190e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.409190e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 7.610083e-03 1891 1 10 1.000000e+02 1.129771e+02 7.087612e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.087612e-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 7.776022e-03 2262 1 10 1.625000e+02 2.794553e+02 7.575798e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.575798e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 8.460045e-03 2633 1 10 5.487500e+02 4.077574e+02 7.947707e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.947707e-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 9.701014e-03 3004 1 10 6.771875e+02 5.210100e+02 9.470606e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.470606e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.394003e-03 3375 1 10 5.312500e+01 5.938345e+01 8.006597e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.006597e-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.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 1.941630e+00 235 1 10 1.000000e+01 9.159200e+00 2.441567e+00 310 1 15 1.000000e+01 9.159200e+00 2.985539e+00 385 1 20 1.000000e+01 9.159200e+00 3.502580e+00 460 1 25 1.000000e+01 9.159200e+00 6.393562e+00 695 1 30 4.000000e+00 9.159200e+00 6.891553e+00 770 1 35 1.000000e+01 9.159200e+00 7.408079e+00 845 1 40 1.000000e+01 9.159200e+00 7.982486e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.982486e+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.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 2.089113e+00 510 1 20 1.000000e+01 6.834387e+00 3.874119e+00 720 1 30 7.000000e+00 6.834387e+00 8.119714e+00 1230 1 40 1.000000e+01 6.823805e+00 9.883205e+00 1440 1 50 3.000000e+00 6.823805e+00 1.429418e+01 1950 1 60 2.000000e+00 6.823805e+00 1.608613e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.608613e+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.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 1.229054e+01 920 1 20 6.049875e+06 2.075240e+06 1.498518e+01 1340 1 30 5.496647e+05 2.078257e+06 2.509163e+01 2260 1 40 3.985383e+04 2.078257e+06 2.749024e+01 2680 1 50 2.994548e+05 2.078257e+06 3.718108e+01 3600 1 60 3.799457e+06 2.078257e+06 3.966064e+01 4020 1 61 3.549665e+06 2.078257e+06 3.991491e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.991491e+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.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 2.947779e+01 920 1 20L 2.799668e+06 2.079457e+06 4.966905e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.826423e+01 2260 1 40L 4.299882e+06 2.079457e+06 9.822854e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.822854e+01 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.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 2.876894e+00 1914 1 200 0.000000e+00 1.191645e+02 3.325564e+00 3840 1 300 7.500000e+01 1.191666e+02 3.784234e+00 5738 1 328 2.500000e+00 1.191667e+02 3.871388e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.871388e+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.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 9.466910e-01 2806 1 200 0.000000e+00 1.191666e+02 1.502741e+00 4749 1 287 5.000000e+00 1.191667e+02 1.907879e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.907879e+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 4.365289e-01 1033 1 20 8.000000e+00 2.000000e+01 4.701791e-01 1209 1 30 1.200000e+01 2.000000e+01 6.262460e-01 2304 1 40 3.000000e+01 2.000000e+01 7.248089e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.248089e-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 8.327801e-01 35 1 10 7.500000e+02 2.935390e+03 9.000039e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.000039e-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: 0.35 plus 0.59 for vertex selection. Node: 2 - elapsed time: 0.29 plus 0.28 for vertex selection. Node: 1 - elapsed time: 0.3 plus 0.11 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 1.9267851059999999 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 1.393578e-01 3 1 40 2.000000e+00 2.000000e+00 3.690479e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.690479e-01 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.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 1.227036e+00 1350 1 20 5.062500e+00 4.110713e+00 1.400142e+00 2700 1 30 4.500000e+00 4.104200e+00 1.608664e+00 4050 1 40 3.812500e+00 4.102669e+00 1.840558e+00 5400 1 50 4.725000e+00 4.095504e+00 2.082516e+00 6750 1 60 4.050000e+00 4.092999e+00 2.325633e+00 8100 1 70 4.606250e+00 4.091524e+00 2.573778e+00 9450 1 80 3.875000e+00 4.089694e+00 2.750803e+00 10800 1 90 3.750000e+00 4.089490e+00 2.921205e+00 12150 1 100 5.125000e+00 4.087894e+00 3.096826e+00 13500 1 110 4.500000e+00 4.087478e+00 3.272552e+00 14850 1 120 3.650000e+00 4.086704e+00 3.450836e+00 16200 1 130 4.406250e+00 4.086063e+00 3.633717e+00 17550 1 140 3.375000e+00 4.085981e+00 3.804815e+00 18900 1 150 3.000000e+00 4.085945e+00 3.994048e+00 20250 1 160 3.812500e+00 4.085838e+00 4.731604e+00 21600 1 170 4.250000e+00 4.085728e+00 4.938343e+00 22950 1 180 3.243750e+00 4.085593e+00 5.146814e+00 24300 1 190 4.306250e+00 4.085487e+00 5.358390e+00 25650 1 200 5.237500e+00 4.085446e+00 5.584044e+00 27000 1 210 4.500000e+00 4.085441e+00 5.815684e+00 28350 1 220 3.612500e+00 4.085405e+00 6.050260e+00 29700 1 230 3.700000e+00 4.085382e+00 6.276549e+00 31050 1 240 3.437500e+00 4.085254e+00 6.495459e+00 32400 1 250 4.100000e+00 4.085115e+00 6.716432e+00 33750 1 260 3.000000e+00 4.084973e+00 6.944836e+00 35100 1 270 4.918750e+00 4.084943e+00 7.178663e+00 36450 1 280 2.756250e+00 4.084920e+00 7.420098e+00 37800 1 290 3.737500e+00 4.084868e+00 7.660861e+00 39150 1 300 5.750000e+00 4.084868e+00 7.995085e+00 40500 1 310 5.156250e+00 4.084858e+00 8.298166e+00 41850 1 320 3.131250e+00 4.084855e+00 8.620211e+00 43200 1 330 4.125000e+00 4.084846e+00 8.953397e+00 44550 1 340 5.875000e+00 4.084820e+00 9.277012e+00 45900 1 350 4.587500e+00 4.084810e+00 9.597716e+00 47250 1 360 5.087500e+00 4.084805e+00 9.935036e+00 48600 1 370 4.393750e+00 4.084802e+00 1.025946e+01 49950 1 380 4.750000e+00 4.084792e+00 1.057547e+01 51300 1 390 4.437500e+00 4.084785e+00 1.093056e+01 52650 1 400 4.181250e+00 4.084785e+00 1.128896e+01 54000 1 410 3.650000e+00 4.084777e+00 1.166156e+01 55350 1 420 3.750000e+00 4.084769e+00 1.204681e+01 56700 1 430 3.725000e+00 4.084762e+00 1.242263e+01 58050 1 440 4.218750e+00 4.084751e+00 1.278375e+01 59400 1 450 5.500000e+00 4.084751e+00 1.316133e+01 60750 1 460 3.637500e+00 4.084747e+00 1.353594e+01 62100 1 470 2.993750e+00 4.084743e+00 1.391131e+01 63450 1 480 5.237500e+00 4.084743e+00 1.431267e+01 64800 1 490 4.212500e+00 4.084743e+00 1.482337e+01 66150 1 500 3.843750e+00 4.084743e+00 1.520480e+01 67500 1 510 3.425000e+00 4.084743e+00 1.558025e+01 68850 1 520 4.293750e+00 4.084743e+00 1.594654e+01 70200 1 530 2.818750e+00 4.084740e+00 1.632335e+01 71550 1 540 4.668750e+00 4.084740e+00 1.671425e+01 72900 1 550 2.750000e+00 4.084740e+00 1.710336e+01 74250 1 560 4.100000e+00 4.084740e+00 1.750814e+01 75600 1 570 3.200000e+00 4.084738e+00 1.791683e+01 76950 1 580 3.525000e+00 4.084738e+00 1.829867e+01 78300 1 590 3.125000e+00 4.084738e+00 1.865703e+01 79650 1 600 4.875000e+00 4.084736e+00 1.907371e+01 81000 1 610 4.050000e+00 4.084736e+00 1.946565e+01 82350 1 620 4.750000e+00 4.084733e+00 1.989155e+01 83700 1 623 3.875000e+00 4.084733e+00 2.001901e+01 84105 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001901e+01 total solves : 84105 best bound : 4.084733e+00 simulation ci : 4.073535e+00 ± 6.050970e-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.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 3.000000e+00 4.746582e+00 1.119723e+00 1350 1 20 4.350000e+00 4.734227e+00 1.972442e+00 2700 1 30 3.225000e+00 4.732523e+00 3.177098e+00 4050 1 40 3.500000e+00 4.728945e+00 4.684818e+00 5400 1 50 2.725000e+00 4.054614e+00 6.317631e+00 6750 1 60 4.437500e+00 4.049233e+00 8.070357e+00 8100 1 70 4.218750e+00 4.048960e+00 1.000771e+01 9450 1 80 3.018750e+00 4.039394e+00 1.223896e+01 10800 1 90 4.125000e+00 4.039327e+00 1.519137e+01 12150 1 100 2.850000e+00 4.039113e+00 1.841078e+01 13500 1 106 5.237500e+00 4.039097e+00 2.022497e+01 14310 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.022497e+01 total solves : 14310 best bound : 4.039097e+00 simulation ci : 4.036798e+00 ± 1.454444e-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.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] 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: ====================================================================================== From worker 4: From worker 4: cmd: /opt/julia/bin/julia 37398 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: poptask at ./task.jl:1216 From worker 4: wait at ./task.jl:1228 From worker 4: task_done_hook at ./task.jl:868 From worker 4: jfptr_task_done_hook_69090.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:4010 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4210 From worker 4: jl_apply at /source/src/julia.h:2391 [inlined] From worker 4: jl_finish_task at /source/src/task.c:345 From worker 4: start_task at /source/src/task.c:1260 From worker 4: unknown function (ip: (nil)) at (unknown file) From worker 4: From worker 4: ============================================================== From worker 4: Profile collected. A report will print at the next yield point From worker 4: ============================================================== From worker 4: 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: ====================================================================================== From worker 5: From worker 5: cmd: /opt/julia/bin/julia 37400 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: poptask at ./task.jl:1216 From worker 5: wait at ./task.jl:1228 From worker 5: task_done_hook at ./task.jl:868 From worker 5: jfptr_task_done_hook_69090.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:4010 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4210 From worker 5: jl_apply at /source/src/julia.h:2391 [inlined] From worker 5: jl_finish_task at /source/src/task.c:345 From worker 5: start_task at /source/src/task.c:1260 From worker 5: unknown function (ip: (nil)) at (unknown file) From worker 5: From worker 5: ============================================================== From worker 5: Profile collected. A report will print at the next yield point From worker 5: ============================================================== From worker 5: ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 15 running 1 of 1 signal (10): User defined signal 1 _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/yay5V/src/gen/libhighs.jl:328 [inlined] #46 at /home/pkgeval/.julia/packages/HiGHS/yay5V/src/MOI_wrapper.jl:2258 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/yay5V/src/MOI_wrapper.jl:2258 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/03Qtw/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/03Qtw/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x74d45ff67252) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/7eD71/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/7eD71/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:491 unknown function (ip: 0x74d45ffd4b3c) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1334 [inlined] #227 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:848 [inlined] collect_to_with_first! at ./array.jl:826 [inlined] _collect at ./array.jl:820 collect_similar at ./array.jl:732 [inlined] map at ./abstractarray.jl:3372 [inlined] #_simulate#225 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1540 simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1540 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/stopping_rules.jl:394 _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 convergence_test at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:999 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x74d45ff6c641) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #train#91 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1116 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/ScjyB/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x74d45f75045f) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [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:693 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2870 _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 _include at ./loading.jl:2930 include at ./Base.jl:307 IncludeInto at ./Base.jl:308 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:10 unknown function (ip: 0x74d45ff568f2) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [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:693 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:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2870 _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 _include at ./loading.jl:2930 include at ./Base.jl:307 IncludeInto at ./Base.jl:308 jfptr_IncludeInto_71850.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [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:693 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 exec_options at ./client.jl:283 _start at ./client.jl:550 jfptr__start_64755.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1139 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x74d49b385249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 poptask at ./task.jl:1216 wait at ./task.jl:1228 #wait#398 at ./condition.jl:141 wait at ./condition.jl:136 [inlined] wait at ./process.jl:693 wait at ./process.jl:686 jfptr_wait_72101.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 subprocess_handler at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2553 unknown function (ip: 0x769b90781733) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #205 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2493 withenv at ./env.jl:265 #190 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2308 with_temp_env at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2161 #186 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2275 #mktempdir#21 at ./file.jl:936 unknown function (ip: 0x769b90772c7c) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 mktempdir at ./file.jl:932 mktempdir at ./file.jl:932 #sandbox#182 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2222 [inlined] sandbox at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2212 unknown function (ip: 0x769b9076be11) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #test#193 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2478 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2384 [inlined] #test#170 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:538 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:515 unknown function (ip: 0x769b9076ba41) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #test#84 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:169 unknown function (ip: 0x769b90762380) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:158 #test#82 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [inlined] #test#81 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:156 [inlined] test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:156 unknown function (ip: 0x769b907608bf) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [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:693 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:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2870 _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 _include at ./loading.jl:2930 include at ./Base.jl:306 exec_options at ./client.jl:317 _start at ./client.jl:550 jfptr__start_64755.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1139 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x769bac8bf249) 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 ============================================================== [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 [15] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/ScjyB/docs/src/examples/sldp_example_one.jl:47 _ZN5highs8parallel4syncEP15HighsSplitDeque at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5highs8parallel9TaskGroupD1Ev at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData16evaluateRootNodeEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/yay5V/src/gen/libhighs.jl:328 [inlined] #46 at /home/pkgeval/.julia/packages/HiGHS/yay5V/src/MOI_wrapper.jl:2258 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/yay5V/src/MOI_wrapper.jl:2258 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/03Qtw/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/03Qtw/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x74d45ff67252) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/7eD71/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/7eD71/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:491 unknown function (ip: 0x74d45ffd4b3c) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1334 [inlined] #227 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:848 [inlined] collect_to_with_first! at ./array.jl:826 [inlined] _collect at ./array.jl:820 collect_similar at ./array.jl:732 [inlined] map at ./abstractarray.jl:3372 [inlined] #_simulate#225 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1540 simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1540 [inlined] simulator at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/stopping_rules.jl:394 _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 convergence_test at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:999 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x74d45ff6c641) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 #train#91 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1116 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/ScjyB/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x74d45f75045f) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [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:693 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2870 _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 _include at ./loading.jl:2930 include at ./Base.jl:307 IncludeInto at ./Base.jl:308 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/runtests.jl:10 unknown function (ip: 0x74d45ff568f2) at (unknown file) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [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:693 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:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2870 _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 _include at ./loading.jl:2930 include at ./Base.jl:307 IncludeInto at ./Base.jl:308 jfptr_IncludeInto_71850.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [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:693 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 exec_options at ./client.jl:283 _start at ./client.jl:550 jfptr__start_64755.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1139 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x74d49b385249) 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: 614004710 (Pool: 614000990; Big: 3720); GC: 131 _ZN4llvm11InstVisitorIN12_GLOBAL__N_18VerifierEvE5visitERNS_11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZN12_GLOBAL__N_18Verifier6verifyERKN4llvm8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZN4llvm12verifyModuleERKNS_6ModuleEPNS_11raw_ostreamEPb at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) verifyLLVMIR at /source/src/pipeline.cpp:828 run at /source/src/llvm-remove-addrspaces.cpp:426 run at /source/src/llvm-remove-addrspaces.cpp:450 run at /source/usr/include/llvm/IR/PassManagerInternal.h:89 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) run at /source/src/pipeline.cpp:741 operator() at /source/src/jitlayers.cpp:1459 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1420 [inlined] operator() at /source/src/jitlayers.cpp:1572 [inlined] addModule at /source/src/jitlayers.cpp:2031 jl_compile_codeinst_now at /source/src/jitlayers.cpp:626 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:824 jl_compile_method_internal at /source/src/gf.c:3524 _jl_invoke at /source/src/gf.c:4002 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [inlined] jl_f_invokelatest at /source/src/builtins.c:881 macro expansion at ./logging/logging.jl:409 [inlined] #warning_empty#40 at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:1361 warning_empty at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:1359 [inlined] #print#5 at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:358 print at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:271 _peek_report at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:94 jfptr__peek_report_1888.1 at /opt/julia/share/julia/compiled/v1.12/Profile/nGhxz_X6ROR.so (unknown line) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [inlined] jl_f_invokelatest at /source/src/builtins.c:881 profile_printing_listener at ./Base.jl:334 #start_profile_listener##0 at ./Base.jl:352 jfptr_YY.start_profile_listenerYY.YY.0_15109.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4010 [inlined] ijl_apply_generic at /source/src/gf.c:4210 jl_apply at /source/src/julia.h:2391 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 21543962 (Pool: 21543353; Big: 609); GC: 17 From worker 3: PkgEval terminated after 2781.72s: test duration exceeded the time limit