Package evaluation of SDDP on Julia 1.12.0-rc1.2 (995ff9db19*) started at 2025-07-14T18:19:14.831 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.84s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [f4570300] + SDDP v1.12.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [cd3eb016] + HTTP v1.10.17 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.26.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.42.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.12.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [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 v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 4.49s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... 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Testing Running tests... [ Info: Experimental.jl Precompiling packages... 49104.8 ms ✓ HiGHS 1 dependency successfully precompiled in 50 seconds. 53 already precompiled. [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:391 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 3.901570e-01 4 1 3 0.000000e+00 0.000000e+00 9.363651e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.363651e-01 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 2.106094e-02 9 1 20 7.500000e+04 1.075000e+05 8.198531e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.198531e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.194565e+00 12 1 10 2.500000e+00 3.361111e+01 1.221105e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.221105e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 8.292913e-03 12 1 10 2.500000e+00 3.361111e+01 3.089690e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.089690e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.116300e-02 46 1 50 0.000000e+00 1.191663e+02 4.762070e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.762070e-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 1.091814e-02 46 1 50 0.000000e+00 1.191663e+02 5.234911e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.234911e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl Precompiling packages... 55601.9 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 57 seconds. 74 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 4.287284e+00 103 1 3S -5.785826e+01 -6.755367e+01 7.760158e+00 309 1 11S -8.368889e+01 -6.677644e+01 9.222588e+00 1133 1 21S -8.368889e+01 -6.677644e+01 1.515751e+01 2163 1 31S -6.068889e+01 -6.677644e+01 2.115067e+01 3193 1 41S -6.068889e+01 -6.677644e+01 2.706312e+01 4223 1 51S -5.268889e+01 -6.677644e+01 3.296203e+01 5253 1 61S -6.068889e+01 -6.677644e+01 3.888976e+01 6283 1 71S -3.268889e+01 -6.677644e+01 4.464136e+01 7313 1 81S -6.468889e+01 -6.677644e+01 5.063760e+01 8343 1 91S -6.068889e+01 -6.677644e+01 5.664925e+01 9373 1 100 -8.368889e+01 -6.677644e+01 6.144537e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.144537e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl From worker 3: Precompiling packages... From worker 4: Precompiling packages... From worker 2: Precompiling packages... From worker 5: Precompiling packages... From worker 5: SDDP Being precompiled by another process (pid: 159, pidfile: /home/pkgeval/.julia/compiled/v1.12/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 4: SDDP Being precompiled by another process (pid: 159, pidfile: /home/pkgeval/.julia/compiled/v1.12/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 2: SDDP Being precompiled by another process (pid: 159, pidfile: /home/pkgeval/.julia/compiled/v1.12/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 3: 29302.9 ms ✓ SDDP From worker 3: 1 dependency successfully precompiled in 34 seconds. 71 already precompiled. From worker 4: 29566.2 ms ✓ SDDP From worker 4: 1 dependency successfully precompiled in 34 seconds. 71 already precompiled. From worker 2: 30029.6 ms ✓ SDDP From worker 2: 1 dependency successfully precompiled in 35 seconds. 71 already precompiled. From worker 5: 30679.6 ms ✓ SDDP From worker 5: 1 dependency successfully precompiled in 36 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} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 3.104072e+02 2 4 20 9.000000e+00 6.000000e+00 3.164852e+02 40 4 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.164852e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.900000e+00 ± 1.043935e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 2.774780e-01 48 1 parallel_schemes.jl: Error During Test at /home/pkgeval/.julia/packages/SDDP/She2h/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/She2h/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/She2h/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::Int64, 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/She2h/src/algorithm.jl:1295 [2] train @ ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] [3] test_async_solve() @ Main ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:176 [4] top-level scope @ ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:233 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [6] IncludeInto @ ./Base.jl:307 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/She2h/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/She2h/test/runtests.jl:14 [10] top-level scope @ ~/.julia/packages/SDDP/She2h/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/She2h/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [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:287 [17] _start() @ Base ./client.jl:554 in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/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/She2h/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/She2h/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/She2h/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::Int64, 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/She2h/src/algorithm.jl:1280 [18] train @ ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] [19] test_async_solve() @ Main ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:176 [20] top-level scope @ ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:233 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [22] IncludeInto @ ./Base.jl:307 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/She2h/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/She2h/test/runtests.jl:14 [26] top-level scope @ ~/.julia/packages/SDDP/She2h/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/She2h/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [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:287 [33] _start() @ Base ./client.jl:554 [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 6.780863e-03 4 1 50 0.000000e+00 0.000000e+00 4.571986e-02 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 4.571986e-02 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl Precompiling packages... 5105.4 ms ✓ StatsBase 9890.2 ms ✓ PlotThemes 9059.7 ms ✓ RecipesPipeline 2259.5 ms ✓ Qt6ShaderTools_jll 2100.8 ms ✓ Qt6Declarative_jll 2242.7 ms ✓ Qt6Wayland_jll 124153.4 ms ✓ Plots 34436.0 ms ✓ Plots → UnitfulExt 8 dependencies successfully precompiled in 191 seconds. 173 already precompiled. Precompiling packages... 1875.4 ms ✓ ColorVectorSpace → SpecialFunctionsExt 1 dependency successfully precompiled in 2 seconds. 20 already precompiled. From worker 5: Precompiling packages... From worker 4: Precompiling packages... From worker 3: Precompiling packages... From worker 2: Precompiling packages... From worker 2: ColorSchemes Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 4: ColorSchemes Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 3: ColorSchemes Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 5: 24646.3 ms ✓ ColorSchemes From worker 2: 24903.1 ms ✓ ColorSchemes From worker 2: PlotUtils Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 4: 25198.7 ms ✓ ColorSchemes From worker 4: PlotUtils Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 3: 25463.7 ms ✓ ColorSchemes From worker 3: PlotUtils Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 5: 20239.8 ms ✓ PlotUtils From worker 2: 20285.4 ms ✓ PlotUtils From worker 2: PlotThemes Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 4: 20461.1 ms ✓ PlotUtils From worker 4: PlotThemes Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 4: RecipesPipeline Being precompiled by another process (pid: 155, pidfile: /home/pkgeval/.julia/compiled/v1.12/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 3: 20722.8 ms ✓ PlotUtils From worker 3: PlotThemes Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.12/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 3: RecipesPipeline Being precompiled by another process (pid: 155, pidfile: /home/pkgeval/.julia/compiled/v1.12/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 2: 22276.2 ms ✓ RecipesPipeline From worker 4: 22154.0 ms ✓ RecipesPipeline From worker 3: 22036.9 ms ✓ RecipesPipeline From worker 5: 23553.0 ms ✓ PlotThemes From worker 4: 23101.4 ms ✓ PlotThemes From worker 2: 24180.9 ms ✓ PlotThemes From worker 2: Plots Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.12/Plots/ld3vC_eJM3J.ji.pidfile) From worker 3: 23801.2 ms ✓ PlotThemes From worker 3: Plots Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.12/Plots/ld3vC_eJM3J.ji.pidfile) From worker 5: 19859.7 ms ✓ RecipesPipeline From worker 5: Plots Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.12/Plots/ld3vC_eJM3J.ji.pidfile) From worker 4: 139053.2 ms ✓ Plots From worker 5: 379447.2 ms ✓ Plots From worker 5: UnitfulExt Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.12/UnitfulExt/4ishe_eJM3J.ji.pidfile) From worker 3: 399531.8 ms ✓ Plots From worker 3: UnitfulExt Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.12/UnitfulExt/4ishe_eJM3J.ji.pidfile) From worker 2: 401904.1 ms ✓ Plots From worker 2: UnitfulExt Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.12/UnitfulExt/4ishe_eJM3J.ji.pidfile) From worker 4: 345642.2 ms ✓ Plots → UnitfulExt From worker 4: 6 dependencies successfully precompiled in 562 seconds. 175 already precompiled. From worker 5: 87730.6 ms ✓ Plots → UnitfulExt From worker 5: 6 dependencies successfully precompiled in 564 seconds. 175 already precompiled. From worker 3: 88858.2 ms ✓ Plots → UnitfulExt From worker 3: 6 dependencies successfully precompiled in 567 seconds. 175 already precompiled. From worker 2: 91004.5 ms ✓ Plots → UnitfulExt From worker 2: 6 dependencies successfully precompiled in 571 seconds. 175 already precompiled. From worker 4: Precompiling packages... From worker 5: Precompiling packages... From worker 5: SpecialFunctionsExt Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.12/SpecialFunctionsExt/SsZkK_eJM3J.ji.pidfile) From worker 3: Precompiling packages... From worker 3: SpecialFunctionsExt Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.12/SpecialFunctionsExt/SsZkK_eJM3J.ji.pidfile) From worker 4: 7353.4 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 4: 1 dependency successfully precompiled in 8 seconds. 20 already precompiled. From worker 3: 648.9 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 3: 1 dependency successfully precompiled in 1 seconds. 20 already precompiled. From worker 5: 3302.0 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 5: 1 dependency successfully precompiled in 4 seconds. 20 already precompiled. ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:51 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.265195e+00 5 1 20 0.000000e+00 -1.000000e+01 7.989429e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.989429e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 1.733494e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.495003e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.288889e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.111791e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.129290e-02 224 1 30 -5.320000e+00 -2.396000e+01 6.244397e-02 264 1 35 -2.396000e+01 -2.396000e+01 7.855701e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.748888e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.748888e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 423ms / 20.3% 12.7MiB / 54.4% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 54.6ms 63.4% 1.36ms 5.87MiB 85.0% 150KiB solve_subproblem 160 27.1ms 31.5% 169μs 944KiB 13.3% 5.90KiB get_dual_solution 160 1.37ms 1.6% 8.59μs 190KiB 2.7% 1.19KiB prepare_backward_pass 160 71.9μs 0.1% 449ns 0.00B 0.0% 0.00B forward_pass 40 20.4ms 23.7% 511μs 770KiB 10.9% 19.3KiB solve_subproblem 120 18.1ms 21.1% 151μs 590KiB 8.3% 4.92KiB get_dual_solution 120 91.8μs 0.1% 765ns 13.1KiB 0.2% 112B sample_scenario 40 497μs 0.6% 12.4μs 24.2KiB 0.3% 620B calculate_bound 40 11.0ms 12.8% 275μs 289KiB 4.1% 7.24KiB get_dual_solution 40 75.3μs 0.1% 1.88μs 4.38KiB 0.1% 112B get_dual_solution 36 29.4μs 0.0% 818ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 5.224299e-02 52 1 10 -2.396000e+01 -2.396000e+01 5.987406e-02 92 1 15 -2.396000e+01 -2.396000e+01 6.932592e-02 132 1 20 -4.260000e+01 -2.396000e+01 8.014989e-02 172 1 25 -5.320000e+00 -2.396000e+01 9.453893e-02 224 1 30 -2.396000e+01 -2.396000e+01 1.086271e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.240170e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.414821e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.414821e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 149ms / 87.6% 14.2MiB / 93.6% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 102ms 78.5% 2.55ms 12.3MiB 92.1% 314KiB solve_subproblem 160 23.8ms 18.3% 149μs 950KiB 7.0% 5.94KiB get_dual_solution 160 1.23ms 0.9% 7.68μs 190KiB 1.4% 1.19KiB prepare_backward_pass 160 63.7μs 0.0% 398ns 0.00B 0.0% 0.00B forward_pass 40 17.7ms 13.6% 442μs 769KiB 5.6% 19.2KiB solve_subproblem 120 15.7ms 12.0% 130μs 588KiB 4.3% 4.90KiB get_dual_solution 120 76.5μs 0.1% 637ns 13.1KiB 0.1% 112B sample_scenario 40 434μs 0.3% 10.8μs 24.3KiB 0.2% 623B calculate_bound 40 10.3ms 7.9% 258μs 301KiB 2.2% 7.52KiB get_dual_solution 40 40.8μs 0.0% 1.02μs 4.38KiB 0.0% 112B get_dual_solution 36 23.2μs 0.0% 644ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 1.740890e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.758621e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.766231e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.772821e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.779079e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.785569e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.792061e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.798751e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.805630e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.812880e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.819971e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.827490e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.835160e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.842730e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.850309e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.857860e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.865671e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.873620e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.881549e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.890280e-01 104 1 21 -1.000000e+00 -2.000000e+00 1.904459e-01 113 1 22 -1.000000e+00 -2.000000e+00 1.912739e-01 118 1 23 -3.000000e+00 -2.000000e+00 1.925681e-01 123 1 24 -3.000000e+00 -2.000000e+00 1.936440e-01 128 1 25 -1.000000e+00 -2.000000e+00 1.945350e-01 133 1 26 -3.000000e+00 -2.000000e+00 1.954370e-01 138 1 27 -3.000000e+00 -2.000000e+00 1.964340e-01 143 1 28 -1.000000e+00 -2.000000e+00 1.974111e-01 148 1 29 -3.000000e+00 -2.000000e+00 1.982939e-01 153 1 30 -3.000000e+00 -2.000000e+00 1.991780e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.001500e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.010770e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.020659e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.030270e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.039759e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.052109e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.063990e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.076070e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.086210e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.096100e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.096100e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 2.707820e-01 51 1 19 1.321040e+02 2.223414e+02 1.310536e+00 3549 1 30 2.138334e+03 2.336430e+02 2.971123e+00 7674 1 38 8.025312e+02 2.352957e+02 4.268068e+00 10194 1 46 1.737622e+02 2.358930e+02 5.391678e+00 12054 1 56 1.051492e+02 2.360772e+02 6.431723e+00 13608 1 63 1.493193e+03 2.362190e+02 8.008040e+00 15909 1 71 1.519535e+02 2.362929e+02 9.030020e+00 17205 1 98 5.715017e+02 2.364082e+02 1.457500e+01 23094 1 100 4.969839e+02 2.364135e+02 1.541214e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.541214e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 8.623199e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.158993e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.474893e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.800540e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.137722e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.595829e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.926547e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.263854e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.590669e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.946834e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.946834e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 4.324691e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.148780e-01 1600 1 30 -1.410768e+00 -1.471408e+00 6.979699e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.924881e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.873719e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.078922e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.261363e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.356412e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.574947e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.685852e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.792250e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.903980e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.007992e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.123242e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.257508e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.398890e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.529593e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.647285e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.671026e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.671026e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 2.217889e-02 54 1 20 3.336455e+05 3.402383e+05 3.500080e-02 104 1 30 3.993519e+05 3.403155e+05 4.746485e-02 158 1 40 3.337559e+05 3.403155e+05 5.935287e-02 208 1 48 3.337559e+05 3.403155e+05 6.971097e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.971097e-02 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 3.286505e-02 92 1 20 4.506600e+05 4.054833e+05 5.723310e-02 172 1 30 3.959476e+05 4.067125e+05 7.966900e-02 264 1 40 4.497721e+05 4.067125e+05 9.859705e-02 344 1 47 3.959476e+05 4.067125e+05 1.144750e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.144750e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 5.341776e+00 14 1 40 2.308500e+03 4.074139e+03 6.143015e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.143015e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 2.400190e+00 8 1 6L 4.000000e+04 6.250000e+04 3.434399e+00 60 1 16L 6.000000e+04 6.250000e+04 4.492070e+00 140 1 20L 6.000000e+04 6.250000e+04 5.155381e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.155381e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 6.632090e-03 8 1 17 9.500000e+04 6.250000e+04 1.031208e+00 148 1 20 4.000000e+04 6.250000e+04 1.207275e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.207275e+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 4.407406e-02 5 1 10 4.000000e+04 6.250000e+04 6.720200e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.720200e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 3.403120e-01 6 1 20L 9.000000e+00 9.000000e+00 4.420509e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.420509e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 1.129448e+00 87 1 10 -1.109375e+01 2.605769e-01 1.140944e+00 142 1 15 3.105797e+00 5.434132e-01 1.154736e+00 197 1 20 -2.463349e+01 1.503415e+00 1.169021e+00 252 1 25 -1.421085e-14 1.514085e+00 1.181721e+00 307 1 30 4.864000e+01 1.514085e+00 3.224556e+00 394 1 35 4.864000e+01 1.514085e+00 3.235713e+00 449 1 40 -8.870299e+00 1.514085e+00 3.248699e+00 504 1 45 -1.428571e+00 1.514085e+00 3.261814e+00 559 1 48 -1.428571e+00 1.514085e+00 3.270673e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.270673e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 9.103191e-01 278 1 20 1.440356e+01 1.278425e+00 9.493661e-01 428 1 30 8.388546e+00 1.278425e+00 1.012750e+00 706 1 40 6.666667e-03 1.278410e+00 1.049752e+00 856 1 50 -5.614035e+00 1.278410e+00 1.113454e+00 1134 1 60 1.426676e+01 1.278410e+00 1.156591e+00 1284 1 64 1.261296e+01 1.278410e+00 1.174403e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.174403e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 7.340193e-02 278 1 20 1.111084e+01 1.278410e+00 1.227050e-01 428 1 30 2.293779e+01 1.278410e+00 2.083089e-01 706 1 40 1.426676e+01 1.278410e+00 2.868249e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.868249e-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 6.043213e+00 900 1 20 6.374753e+00 1.361934e+01 6.409139e+00 1720 1 30 2.848217e+01 1.624016e+01 7.426345e+00 3036 1 40 1.973944e+01 1.776547e+01 8.430026e+00 4192 1 50 4.000000e+00 1.889360e+01 9.293815e+00 5020 1 60 1.142478e+01 1.907862e+01 1.024120e+01 5808 1 70 9.386421e+00 1.961295e+01 1.113240e+01 6540 1 80 5.667851e+01 1.890911e+01 1.188766e+01 7088 1 90 3.740597e+01 1.993139e+01 1.354794e+01 8180 1 100 9.867183e+00 2.001688e+01 1.429128e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.429128e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 2.902571e+00 36 1 10 0.000000e+00 0.000000e+00 2.952900e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.952900e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 7.246017e-03 407 1 10 2.850000e+02 5.728212e+02 6.544995e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.544995e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 6.220102e-03 778 1 10 2.825000e+02 3.465177e+02 6.835198e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.835198e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 6.870985e-03 1149 1 10 2.587500e+02 2.052799e+02 6.406879e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.406879e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 7.300138e-03 1520 1 10 2.875000e+02 4.661908e+02 7.401109e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.401109e-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 7.157087e-03 1891 1 10 1.000000e+02 1.129771e+02 6.311607e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.311607e-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 6.851912e-03 2262 1 10 1.625000e+02 2.794553e+02 7.450795e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.450795e-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 8.810997e-03 2633 1 10 5.487500e+02 4.077574e+02 7.819486e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.819486e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 8.591890e-03 3004 1 10 6.771875e+02 5.210100e+02 8.072186e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.072186e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 7.438898e-03 3375 1 10 5.312500e+01 5.938345e+01 6.576085e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.576085e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.178204e+00 235 1 10 1.000000e+01 9.159200e+00 1.633678e+00 310 1 15 1.000000e+01 9.159200e+00 2.141725e+00 385 1 20 1.000000e+01 9.159200e+00 2.642231e+00 460 1 25 1.000000e+01 9.159200e+00 5.438718e+00 695 1 30 4.000000e+00 9.159200e+00 5.914783e+00 770 1 35 1.000000e+01 9.159200e+00 6.371719e+00 845 1 40 1.000000e+01 9.159200e+00 6.891275e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.891275e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.EqualTo{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 1.319761e+00 510 1 20 1.000000e+01 6.834387e+00 2.959814e+00 720 1 30 7.000000e+00 6.834387e+00 6.851791e+00 1230 1 40 1.000000e+01 6.823805e+00 8.439849e+00 1440 1 50 3.000000e+00 6.823805e+00 1.253183e+01 1950 1 60 2.000000e+00 6.823805e+00 1.418283e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.418283e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.362002e+01 920 1 20 6.049875e+06 2.075240e+06 1.638320e+01 1340 1 30 5.496647e+05 2.078257e+06 2.937375e+01 2260 1 40 3.985383e+04 2.078257e+06 3.206784e+01 2680 1 50 2.994548e+05 2.078257e+06 4.495722e+01 3600 1 60 3.799457e+06 2.078257e+06 4.771380e+01 4020 1 61 3.549665e+06 2.078257e+06 4.797972e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.797972e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.376231e+01 920 1 20 From worker 5: L 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 163 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:1187 From worker 5: wait at ./task.jl:1199 From worker 5: task_done_hook at ./task.jl:839 From worker 5: jfptr_task_done_hook_104661.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:4100 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4300 From worker 5: jl_apply at /source/src/julia.h:2375 [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: 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 161 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:1187 From worker 4: wait at ./task.jl:1199 From worker 4: task_done_hook at ./task.jl:839 From worker 4: jfptr_task_done_hook_104661.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:4100 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:4300 From worker 4: jl_apply at /source/src/julia.h:2375 [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: 2.799668e+06 2.079457e+06 5.504900e+01 1340 1 ====================================================================================== 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 pthread_cond_signal at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) _ZN15HighsSplitDeque10WorkerBunk11publishWorkEPS_ at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData30startAnalyticCenterComputationERKN5highs8parallel9TaskGroupE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData16evaluateRootNodeEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/ugDMh/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/ugDMh/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7212a4ecc042) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 #optimize!#95 at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:507 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:481 unknown function (ip: 0x7212a3f52a5f) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 solve_all_children at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:821 unknown function (ip: 0x7212a3f4aeb8) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 backward_pass at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:665 unknown function (ip: 0x7212a4ee5aa8) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:959 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7212a4ed2bf1) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 #train#91 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] generation_expansion at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/generation_expansion.jl:87 unknown function (ip: 0x7212a270c3f2) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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:2837 _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 _include at ./loading.jl:2897 include at ./Base.jl:306 IncludeInto at ./Base.jl:307 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/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/She2h/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10 unknown function (ip: 0x7212a4ea57f2) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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:2837 _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 _include at ./loading.jl:2897 include at ./Base.jl:306 IncludeInto at ./Base.jl:307 jfptr_IncludeInto_102481.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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:287 _start at ./client.jl:554 jfptr__start_81451.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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: 0x7212d3591249) 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:1187 wait at ./task.jl:1199 #wait#398 at ./condition.jl:141 wait at ./condition.jl:136 [inlined] wait at ./process.jl:694 wait at ./process.jl:687 jfptr_wait_84416.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 subprocess_handler at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2476 unknown function (ip: 0x74071e5860f3) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 #213 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2416 withenv at ./env.jl:265 #198 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2237 with_temp_env at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2087 #194 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2196 #mktempdir#21 at ./file.jl:899 unknown function (ip: 0x74071e57549c) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 mktempdir at ./file.jl:895 mktempdir at ./file.jl:895 #sandbox#190 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2143 [inlined] sandbox at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2135 unknown function (ip: 0x74071e5704f1) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 #test#201 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2401 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2313 [inlined] #test#170 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:511 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:490 unknown function (ip: 0x74071e56f6f1) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 #test#84 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:164 unknown function (ip: 0x74071e56e278) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:153 #test#82 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [inlined] #test#81 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 [inlined] test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 unknown function (ip: 0x74071e5653af) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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:2837 _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 _include at ./loading.jl:2897 include at ./Base.jl:305 exec_options at ./client.jl:321 _start at ./client.jl:554 jfptr__start_81451.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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: 0x74072715a249) 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 ============================================================== [15] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/generation_expansion.jl:93 _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/2Rdhm/src/MOI_wrapper.jl:2223 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/ugDMh/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/ugDMh/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7212a4ecc042) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 #optimize!#95 at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:560 [inlined] _solve_primal_problem at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/duality_handlers.jl:317 get_dual_solution at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/duality_handlers.jl:285 #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:525 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:481 unknown function (ip: 0x7212a3f52a5f) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 solve_all_children at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:821 unknown function (ip: 0x7212a3f4aeb8) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 backward_pass at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:665 unknown function (ip: 0x7212a4ee5aa8) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:959 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7212a4ed2bf1) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 #train#91 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] generation_expansion at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/generation_expansion.jl:87 unknown function (ip: 0x7212a270c3f2) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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 [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 setindex! at ./../usr/share/julia/Compiler/src/ssair/ir.jl:1119 unknown function (ip: 0x7406f7dfad2f) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_invoke at /source/src/gf.c:4107 tojlinvoke122408.1 at /opt/julia/lib/julia/sys.so (unknown line) j_setindexNOT._118511.1 at /opt/julia/lib/julia/sys.so (unknown line) eval at ./boot.jl:489 setindex! at ./../usr/share/julia/Compiler/src/ssair/ir.jl:1154 [inlined] ir_inline_item! at ./../usr/share/julia/Compiler/src/ssair/inlining.jl:381 batch_inline! at ./../usr/share/julia/Compiler/src/ssair/inlining.jl:663 ssa_inlining_pass! at ./../usr/share/julia/Compiler/src/ssair/inlining.jl:79 [inlined] run_passes_ipo_safe at ./../usr/share/julia/Compiler/src/optimize.jl:1013 run_passes_ipo_safe at ./../usr/share/julia/Compiler/src/optimize.jl:1027 [inlined] optimize at ./../usr/share/julia/Compiler/src/optimize.jl:1002 jfptr_optimize_117736.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 finish_nocycle at ./../usr/share/julia/Compiler/src/typeinfer.jl:202 jfptr_finish_nocycle_120318.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4500 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1259 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1442 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1451 jfptr_typeinf_ext_toplevel_121101.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [inlined] jl_type_infer at /source/src/gf.c:462 jl_compile_method_internal at /source/src/gf.c:3602 _jl_invoke at /source/src/gf.c:4092 [inlined] ijl_apply_generic at /source/src/gf.c:4300 #mapfoldl#270 at ./reduce.jl:167 mapfoldl at ./reduce.jl:167 [inlined] #mapreduce#274 at ./reduce.jl:299 [inlined] mapreduce at ./reduce.jl:299 unknown function (ip: 0x74071e58a44d) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 include_string at ./loading.jl:2837 _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 _include at ./loading.jl:2897 annotatedstring at ./strings/annotated.jl:245 _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 include at ./Base.jl:306 IncludeInto at ./Base.jl:307 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/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/She2h/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10 unknown function (ip: 0x7212a4ea57f2) at (unknown file) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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 tree_format at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:1067 print_tree at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:1255 tree at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:1309 print_group at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:389 #print#5 at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:331 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 include_string at ./loading.jl:2837 _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 _include at ./loading.jl:2897 include at ./Base.jl:306 IncludeInto at ./Base.jl:307 jfptr_IncludeInto_102481.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [inlined] _peek_report at /source/usr/share/julia/stdlib/v1.12/Profile/src/Profile.jl:94 jfptr__peek_report_1772.1 at /opt/julia/share/julia/compiled/v1.12/Profile/nGhxz_X6ROR.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 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 jl_apply at /source/src/julia.h:2375 [inlined] jl_f_invokelatest at /source/src/builtins.c:875 profile_printing_listener at ./Base.jl:333 #start_profile_listener##0 at ./Base.jl:351 jfptr_YY.start_profile_listenerYY.YY.0_48105.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 21802334 (Pool: 21801746; Big: 588); GC: 17 exec_options at ./client.jl:287 _start at ./client.jl:554 jfptr__start_81451.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4100 [inlined] ijl_apply_generic at /source/src/gf.c:4300 jl_apply at /source/src/julia.h:2375 [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: 0x7212d3591249) 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: 483465392 (Pool: 483462424; Big: 2968); GC: 108 PkgEval terminated after 2776.05s: test duration exceeded the time limit