Package evaluation to test SDDP on Julia 1.14.0-DEV.1918 (78a0dc1151*) started at 2026-03-19T23:17:37.323 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.57s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [f4570300] + SDDP v1.13.1 Updating `~/.julia/environments/v1.14/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 v2.5.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.3.2 [cd3eb016] + HTTP v1.11.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.4.0 [4076af6c] + JuMP v1.30.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.49.0 [739be429] + MbedTLS v1.1.10 [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 v1.5.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.1 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.7.1 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.7.1 [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 v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown 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 v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [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 v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.5+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 5.95s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 47157.7 ms ✓ SDDP 1 dependency successfully precompiled in 71 seconds. 214 already precompiled. Precompilation completed after 61.0s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_GQWZNp/Project.toml` [87dc4568] HiGHS v1.22.2 [b6b21f68] Ipopt v1.14.1 [682c06a0] JSON v1.4.0 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.6 [f4570300] SDDP v1.13.1 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_GQWZNp/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 v2.5.1 [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 [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.67 plus 15.22 for vertex selection. Node: 2 - elapsed time: 0.53 plus 0.35 for vertex selection. Node: 1 - elapsed time: 0.34 plus 0.34 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 17.449781199 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/ScjyB/src/Inner.jl:1048 Node: 19 - elapsed time: 0.62 plus 0.38 for vertex selection. Node: 18 - elapsed time: 0.74 plus 0.38 for vertex selection. Node: 17 - elapsed time: 0.75 plus 0.39 for vertex selection. Node: 16 - elapsed time: 0.5 plus 0.36 for vertex selection. Node: 15 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 14 - elapsed time: 0.48 plus 0.39 for vertex selection. Node: 13 - elapsed time: 0.71 plus 0.56 for vertex selection. Node: 12 - elapsed time: 1.15 plus 0.43 for vertex selection. Node: 11 - elapsed time: 0.64 plus 0.6 for vertex selection. Node: 10 - elapsed time: 0.74 plus 0.45 for vertex selection. Node: 9 - elapsed time: 0.81 plus 0.69 for vertex selection. Node: 8 - elapsed time: 1.13 plus 0.37 for vertex selection. Node: 7 - elapsed time: 0.65 plus 0.51 for vertex selection. Node: 6 - elapsed time: 0.61 plus 0.36 for vertex selection. Node: 5 - elapsed time: 0.48 plus 0.44 for vertex selection. Node: 4 - elapsed time: 0.82 plus 0.56 for vertex selection. Node: 3 - elapsed time: 0.51 plus 0.35 for vertex selection. Node: 2 - elapsed time: 0.57 plus 0.35 for vertex selection. Node: 1 - elapsed time: 0.61 plus 0.34 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 6.847141e-01 4 1 3 0.000000e+00 0.000000e+00 1.719916e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.719916e+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 9.005141e-01 9 1 20 7.500000e+04 1.075000e+05 1.779208e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.779208e+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 3.505344e+00 12 1 10 2.500000e+00 3.361111e+01 3.535120e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.535120e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 1.239834e+00 12 1 10 2.500000e+00 3.361111e+01 1.303648e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.303648e+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 : 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 1.053381e-02 46 1 50 0.000000e+00 1.191663e+02 5.735679e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.735679e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.108384e-02 46 1 50 0.000000e+00 1.191663e+02 8.422480e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.422480e-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 4.765280e+00 103 1 3S -5.785826e+01 -6.755367e+01 7.583302e+00 309 1 4S -6.230988e+01 -6.688020e+01 9.042925e+00 412 1 8S -5.772300e+01 -6.677661e+01 1.510368e+01 824 1 13S -3.268889e+01 -6.677644e+01 2.089177e+01 1339 1 17S -6.068889e+01 -6.677644e+01 2.626053e+01 1751 1 21S -8.368889e+01 -6.677644e+01 3.147986e+01 2163 1 27S -6.068889e+01 -6.677644e+01 3.961785e+01 2781 1 33S -8.368889e+01 -6.677644e+01 4.605739e+01 3399 1 41S -6.068889e+01 -6.677644e+01 5.260385e+01 4223 1 49S -6.068889e+01 -6.677644e+01 5.924928e+01 5047 1 55S -4.868889e+01 -6.677644e+01 6.561915e+01 5665 1 63S -8.068889e+01 -6.677644e+01 7.195734e+01 6489 1 71S -3.268889e+01 -6.677644e+01 7.709669e+01 7313 1 79S -4.168889e+01 -6.677644e+01 8.227119e+01 8137 1 87S -6.068889e+01 -6.677644e+01 8.862758e+01 8961 1 95S -6.468889e+01 -6.677644e+01 9.531929e+01 9785 1 100 -8.368889e+01 -6.677644e+01 9.926950e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.926950e+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 2.234936e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.234936e-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 ------------------------------------------------------------------- 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 3.000000e+00 6.000000e+00 4.339468e+02 2 2 20 9.000000e+00 6.000000e+00 4.393350e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.393350e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.600000e+00 ± 9.892406e-01 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 1.276513e+00 48 1 20 9.000000e+00 6.000000e+00 1.732952e+00 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.732952e+00 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- From worker 5: From worker 5: ====================================================================================== From worker 5: Information request received. A stacktrace will print followed by a 1.0 second profile. From worker 5: --trace-compile is enabled during profile collection. From worker 5: ====================================================================================== From worker 5: From worker 5: cmd: /opt/julia/bin/julia 37511 running 1 of 1 From worker 5: From worker 5: signal (10): User defined signal 1 From worker 5: jl_specializations_get_linfo_ at /source/src/gf.c:171 From worker 5: cache_method at /source/src/gf.c:1671 From worker 5: ml_matches at /source/src/gf.c:5181 From worker 5: ml_matches at /source/src/gf.c:4873 [inlined] From worker 5: ijl_matching_methods at /source/src/gf.c:3238 [inlined] From worker 5: ijl_matching_methods at /source/src/gf.c:3225 From worker 5: _methods_by_ftype at ./runtime_internals.jl:1603 [inlined] From worker 5: _findall at ./../usr/share/julia/Compiler/src/methodtable.jl:97 [inlined] From worker 5: #findall#5 at ./../usr/share/julia/Compiler/src/methodtable.jl:70 [inlined] From worker 5: findall at ./../usr/share/julia/Compiler/src/methodtable.jl:70 [inlined] From worker 5: #findall#7 at ./../usr/share/julia/Compiler/src/methodtable.jl:105 From worker 5: findall at ./../usr/share/julia/Compiler/src/methodtable.jl:102 [inlined] From worker 5: find_simple_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:379 From worker 5: #find_method_matches#133 at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:339 [inlined] From worker 5: find_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:332 From worker 5: jfptr_find_method_matches_3.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4339 From worker 5: abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:119 From worker 5: abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2928 From worker 5: abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3036 From worker 5: abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3029 [inlined] From worker 5: abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3189 From worker 5: abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3207 [inlined] From worker 5: abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3571 From worker 5: abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3978 [inlined] From worker 5: abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3935 [inlined] From worker 5: typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4519 From worker 5: jfptr_typeinf_local_1.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4339 From worker 5: typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4797 From worker 5: typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1535 From worker 5: typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1718 [inlined] From worker 5: typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1727 From worker 5: jfptr_typeinf_ext_toplevel_3.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4339 From worker 5: jl_apply at /source/src/julia.h:2300 [inlined] From worker 5: jl_type_infer at /source/src/gf.c:467 From worker 5: jl_compile_method_internal at /source/src/gf.c:3640 From worker 5: _jl_invoke at /source/src/gf.c:4105 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4339 From worker 5: jl_apply at /source/src/julia.h:2300 [inlined] From worker 5: jl_f_invokelatest at /source/src/builtins.c:910 From worker 5: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4339 From worker 5: jl_apply at /source/src/julia.h:2300 [inlined] From worker 5: jl_f__apply_iterate at /source/src/builtins.c:897 From worker 5: #handle_msg##4 at /source/usr/share/julia/stdlib/v1.14/Distributed/src/process_messages.jl:287 From worker 5: run_work_thunk at /source/usr/share/julia/stdlib/v1.14/Distributed/src/process_messages.jl:70 From worker 5: #handle_msg##2 at /source/usr/share/julia/stdlib/v1.14/Distributed/src/process_messages.jl:287 From worker 5: unknown function (ip: 0x766ad097c8f9) at (unknown file) From worker 5: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4339 From worker 5: jl_apply at /source/src/julia.h:2300 [inlined] From worker 5: start_task at /source/src/task.c:1275 From worker 5: unknown function (ip: (nil)) at (unknown file) From worker 5: From worker 5: From worker 5: ============================================================== From worker 5: Profile collected. A report will print at the next yield point. From worker 5: Disabling --trace-compile From worker 5: ============================================================== From worker 5: From worker 4: From worker 4: ====================================================================================== From worker 4: Information request received. A stacktrace will print followed by a 1.0 second profile. From worker 4: --trace-compile is enabled during profile collection. From worker 4: ====================================================================================== From worker 4: From worker 4: cmd: /opt/julia/bin/julia 37510 running 1 of 1 From worker 4: From worker 4: signal (10): User defined signal 1 From worker 4: _ZNK4llvm18X86GenRegisterInfo23getRegClassPressureSetsEPKNS_19TargetRegisterClassE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZNK4llvm17RegisterClassInfo16computePSetLimitEj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZN4llvm17ScheduleDAGMILive15initRegPressureEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZN4llvm17ScheduleDAGMILive8scheduleEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZN12_GLOBAL__N_120MachineSchedulerBase15scheduleRegionsERN4llvm17ScheduleDAGInstrsEb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZN12_GLOBAL__N_116MachineScheduler20runOnMachineFunctionERN4llvm15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: operator() at /source/src/jitlayers.cpp:1417 From worker 4: compileModule at /source/src/jitlayers.cpp:2366 From worker 4: materialize at /source/src/jitlayers.cpp:884 From worker 4: _ZN4llvm3orc19MaterializationTask3runEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) From worker 4: process_tasks at /source/src/julia-task-dispatcher.h:370 [inlined] From worker 4: work_until at /source/src/julia-task-dispatcher.h:352 From worker 4: wait at /source/src/julia-task-dispatcher.h:84 [inlined] From worker 4: get at /source/src/julia-task-dispatcher.h:171 [inlined] From worker 4: publishCIs at /source/src/jitlayers.cpp:2069 From worker 4: jl_compile_codeinst_impl at /source/src/jitlayers.cpp:496 From worker 4: jl_compile_method_internal at /source/src/gf.c:3652 From worker 4: _jl_invoke at /source/src/gf.c:4105 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4339 From worker 4: _sort! at ./sort.jl:845 From worker 4: _sort! at ./sort.jl:800 From worker 4: _sort! at ./sort.jl:747 [inlined] From worker 4: _sort! at ./sort.jl:686 [inlined] From worker 4: _sort! at ./sort.jl:561 [inlined] From worker 4: _sort! at ./sort.jl:1594 [inlined] From worker 4: #sort!#24 at ./sort.jl:1741 [inlined] From worker 4: sort! at ./sort.jl:1734 [inlined] From worker 4: _copy_variables_with_set at /home/pkgeval/.julia/packages/MathOptInterface/Q3V1z/src/Utilities/copy.jl:539 From worker 4: default_copy_to at /home/pkgeval/.julia/packages/MathOptInterface/Q3V1z/src/Utilities/copy.jl:386 From worker 4: copy_to at /home/pkgeval/.julia/packages/MathOptInterface/Q3V1z/src/Bridges/bridge_optimizer.jl:448 [inlined] From worker 4: optimize! at /home/pkgeval/.julia/packages/MathOptInterface/Q3V1z/src/MathOptInterface.jl:121 [inlined] From worker 4: optimize! at /home/pkgeval/.julia/packages/MathOptInterface/Q3V1z/src/Utilities/cachingoptimizer.jl:370 From worker 4: unknown function (ip: 0x7b91d1de76a2) at (unknown file) From worker 4: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4339 From worker 4: #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/0tD10/src/optimizer_interface.jl:610 From worker 4: optimize! at /home/pkgeval/.julia/packages/JuMP/0tD10/src/optimizer_interface.jl:560 [inlined] From worker 4: #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:517 From worker 4: solve_subproblem at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:491 From worker 4: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4339 From worker 4: #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1382 From worker 4: _simulate at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/algorithm.jl:1334 [inlined] From worker 4: #244 at /home/pkgeval/.julia/packages/SDDP/ScjyB/src/plugins/parallel_schemes.jl:336 From worker 4: #exec_from_cache#152 at /source/usr/share/julia/stdlib/v1.14/Distributed/src/workerpool.jl:389 From worker 4: exec_from_cache at /source/usr/share/julia/stdlib/v1.14/Distributed/src/workerpool.jl:387 From worker 4: unknown function (ip: 0x7b9199389773) at (unknown file) From worker 4: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4339 From worker 4: jl_apply at /source/src/julia.h:2300 [inlined] From worker 4: jl_f_invokelatest at /source/src/builtins.c:910 From worker 4: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4339 From worker 4: jl_apply at /source/src/julia.h:2300 [inlined] From worker 4: jl_f__apply_iterate at /source/src/builtins.c:897 From worker 4: #handle_msg##4 at /source/usr/share/julia/stdlib/v1.14/Distributed/src/process_messages.jl:287 From worker 4: run_work_thunk at /source/usr/share/julia/stdlib/v1.14/Distributed/src/process_messages.jl:70 From worker 4: #handle_msg##2 at /source/usr/share/julia/stdlib/v1.14/Distributed/src/process_messages.jl:287 From worker 4: unknown function (ip: 0x7b919937ccb9) at (unknown file) From worker 4: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4339 From worker 4: jl_apply at /source/src/julia.h:2300 [inlined] From worker 4: start_task at /source/src/task.c:1275 From worker 4: unknown function (ip: (nil)) at (unknown file) From worker 4: From worker 4: From worker 4: ============================================================== From worker 4: Profile collected. A report will print at the next yield point. From worker 4: Disabling --trace-compile From worker 4: ============================================================== From worker 4: From worker 3: From worker 3: ====================================================================================== From worker 3: Information request received. A stacktrace will print followed by a 1.0 second profile. From worker 3: --trace-compile is enabled during profile collection. From worker 3: ====================================================================================== From worker 3: From worker 3: cmd: /opt/julia/bin/julia 37509 running 0 of 1 From worker 3: From worker 3: signal (10): User defined signal 1 From worker 3: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 3: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 3: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 3: ijl_task_get_next at /source/src/scheduler.c:457 From worker 3: wait at ./task.jl:1246 From worker 3: wait_forever at ./task.jl:1168 From worker 3: jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 3: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 3: ijl_apply_generic at /source/src/gf.c:4339 From worker 3: jl_apply at /source/src/julia.h:2300 [inlined] From worker 3: start_task at /source/src/task.c:1275 From worker 3: unknown function (ip: (nil)) at (unknown file) From worker 3: From worker 3: From worker 3: ============================================================== From worker 3: Profile collected. A report will print at the next yield point. From worker 3: Disabling --trace-compile From worker 3: ============================================================== From worker 3: From worker 2: From worker 2: ====================================================================================== From worker 2: Information request received. A stacktrace will print followed by a 1.0 second profile. From worker 2: --trace-compile is enabled during profile collection. From worker 2: ====================================================================================== From worker 2: From worker 2: cmd: /opt/julia/bin/julia 37506 running 0 of 1 From worker 2: From worker 2: signal (10): User defined signal 1 From worker 2: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 2: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 2: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 2: ijl_task_get_next at /source/src/scheduler.c:457 From worker 2: wait at ./task.jl:1246 From worker 2: wait_forever at ./task.jl:1168 From worker 2: jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 2: _jl_invoke at /source/src/gf.c:4113 [inlined] From worker 2: ijl_apply_generic at /source/src/gf.c:4339 From worker 2: jl_apply at /source/src/julia.h:2300 [inlined] From worker 2: start_task at /source/src/task.c:1275 From worker 2: unknown function (ip: (nil)) at (unknown file) From worker 2: From worker 2: From worker 2: ============================================================== From worker 2: Profile collected. A report will print at the next yield point. From worker 2: Disabling --trace-compile From worker 2: ============================================================== From worker 2: ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 16 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 From worker 4: ┌ Warning: There were no samples collected in one or more groups. From worker 4: │ This may be due to idle threads, or you may need to run your From worker 4: │ program longer (perhaps by running it multiple times), From worker 4: │ or adjust the delay between samples with `Profile.init()`. From worker 4: └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 From worker 4: Overhead ╎ [+additional indent] Count File:Line Function From worker 4: ========================================================= From worker 4: Thread 1 (default) Task 0x00007b918a55a2c0 Total snapshots: 1. Utilization: 100% From worker 4: wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2300 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2300 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000074c6c3b3f1c0 Total snapshots: 87. Utilization: 0% ╎87 @Base/task.jl:1168 wait_forever() 86╎ 87 @Base/task.jl:1246 wait() From worker 5: ┌ Warning: There were no samples collected in one or more groups.┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007dbb825ff2b0 Total snapshots: 1. Utilization: 0% ╎1 @Base/task.jl:1168 wait_forever() ╎ 1 @Base/task.jl:1246 wait() From worker 5: │ This may be due to idle threads, or you may need to run your [16] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/ScjyB/test/plugins/parallel_schemes.jl:234 PkgEval terminated after 2770.18s: test duration exceeded the time limit