Package evaluation of SDDP on Julia 1.13.0-DEV.880 (5ebc5b463e*) started at 2025-07-20T18:50:50.121 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.29s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.12.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [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 v1.27.0 [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 v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 4.91s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... 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Testing Running tests... [ Info: Experimental.jl Precompiling packages... 45263.5 ms ✓ HiGHS 1 dependency successfully precompiled in 46 seconds. 52 already precompiled. Precompiling packages... 1895.1 ms ✓ JSONSchema 1 dependency successfully precompiled in 2 seconds. 23 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 3.536689e-01 4 1 3 0.000000e+00 0.000000e+00 1.000429e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.000429e+00 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.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 2.204895e-02 9 1 20 7.500000e+04 1.075000e+05 7.054980e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.054980e-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 1.005412e+00 12 1 10 2.500000e+00 3.361111e+01 1.030405e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.030405e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 1.138902e-02 12 1 10 2.500000e+00 3.361111e+01 3.032112e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.032112e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.537935e-03 46 1 50 0.000000e+00 1.191663e+02 4.287229e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.287229e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.373188e-03 46 1 50 0.000000e+00 1.191663e+02 4.937861e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.937861e-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... 53800.9 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 55 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 3.960041e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.691543e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.754651e+00 412 1 6S -6.064080e+01 -6.678327e+01 8.935969e+00 618 1 7S -6.493167e+01 -6.677772e+01 9.946850e+00 721 1 17S -6.068889e+01 -6.677644e+01 1.594944e+01 1751 1 27S -6.068889e+01 -6.677644e+01 2.203865e+01 2781 1 37S -7.668889e+01 -6.677644e+01 2.743135e+01 3811 1 47S -5.768889e+01 -6.677644e+01 3.341831e+01 4841 1 57S -8.368889e+01 -6.677644e+01 3.954273e+01 5871 1 67S -7.668889e+01 -6.677644e+01 4.571359e+01 6901 1 77S -6.468889e+01 -6.677644e+01 5.174029e+01 7931 1 87S -6.068889e+01 -6.677644e+01 5.789872e+01 8961 1 97S -6.068889e+01 -6.677644e+01 6.398314e+01 9991 1 100 -8.368889e+01 -6.677644e+01 6.519985e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.519985e+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 2: Precompiling packages... From worker 3: Precompiling packages... From worker 4: Precompiling packages... From worker 5: Precompiling packages... From worker 4: SDDP Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 3: SDDP Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: SDDP Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 2: 32012.7 ms ✓ SDDP From worker 2: 1 dependency successfully precompiled in 38 seconds. 70 already precompiled. From worker 3: 32191.0 ms ✓ SDDP From worker 3: 1 dependency successfully precompiled in 39 seconds. 70 already precompiled. From worker 5: 32757.4 ms ✓ SDDP From worker 5: 1 dependency successfully precompiled in 39 seconds. 70 already precompiled. From worker 4: 33573.0 ms ✓ SDDP From worker 4: 1 dependency successfully precompiled in 40 seconds. 70 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.000000e+00 6.000000e+00 3.201752e+02 2 2 20 3.000000e+00 6.000000e+00 3.252527e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.252527e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.700000e+00 ± 9.549212e-01 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/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 2.565129e-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/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::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:310 [6] IncludeInto @ ./Base.jl:311 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [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/v1.13/Test/src/Test.jl:1858 [inlined] [12] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:286 [17] _start() @ Base ./client.jl:553 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/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:465 [2] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [3] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [4] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [5] wait @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:586 [inlined] [6] _broadcast_getindex_evalf @ ./broadcast.jl:701 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:674 [inlined] [8] _getindex @ ./broadcast.jl:622 [inlined] [9] getindex @ ./broadcast.jl:618 [inlined] [10] macro expansion @ ./broadcast.jl:997 [inlined] [11] macro expansion @ ./simdloop.jl:77 [inlined] [12] copyto! @ ./broadcast.jl:996 [inlined] [13] copyto! @ ./broadcast.jl:949 [inlined] [14] copy @ ./broadcast.jl:921 [inlined] [15] materialize @ ./broadcast.jl:896 [inlined] [16] master_loop(async::SDDP.Asynchronous, model::SDDP.PolicyGraph{Int64}, options::SDDP.Options{Int64}) @ SDDP ~/.julia/packages/SDDP/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:310 [22] IncludeInto @ ./Base.jl:311 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [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/v1.13/Test/src/Test.jl:1858 [inlined] [28] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [30] top-level scope @ none:6 [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] exec_options(opts::Base.JLOptions) @ Base ./client.jl:286 [33] _start() @ Base ./client.jl:553 [ 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 3.932953e-03 4 1 50 0.000000e+00 0.000000e+00 1.753550e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 1.753550e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/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... 8939.0 ms ✓ ColorSchemes 18070.8 ms ✓ PlotUtils 9930.2 ms ✓ PlotThemes 9121.8 ms ✓ RecipesPipeline 106919.1 ms ✓ Plots 28433.8 ms ✓ Plots → UnitfulExt 6 dependencies successfully precompiled in 183 seconds. 174 already precompiled. From worker 5: Precompiling packages... From worker 4: Precompiling packages... From worker 2: Precompiling packages... From worker 3: Precompiling packages... From worker 3: ColorSchemes Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 5: ColorSchemes Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 2: ColorSchemes Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 5: fzf_jll Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/fzf_jll/kEuMt_eJM3J.ji.pidfile) From worker 2: fzf_jll Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/fzf_jll/kEuMt_eJM3J.ji.pidfile) From worker 2: StatsBase Being precompiled by another process (pid: 179, pidfile: /home/pkgeval/.julia/compiled/v1.13/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 3: 7517.7 ms ✓ fzf_jll From worker 3: StatsBase Being precompiled by another process (pid: 179, pidfile: /home/pkgeval/.julia/compiled/v1.13/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 3: Dbus_jll Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/Dbus_jll/1kwKZ_eJM3J.ji.pidfile) From worker 2: 7824.9 ms ✓ Dbus_jll From worker 2: x264_jll Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/x264_jll/XmaTp_eJM3J.ji.pidfile) From worker 3: 6897.5 ms ✓ x264_jll From worker 3: x265_jll Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/x265_jll/5KlGs_eJM3J.ji.pidfile) From worker 2: 6693.3 ms ✓ x265_jll From worker 2: Xorg_libXi_jll Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/Xorg_libXi_jll/1sAS5_eJM3J.ji.pidfile) From worker 3: 8031.4 ms ✓ Xorg_libXi_jll From worker 3: Xorg_libXcursor_jll Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/Xorg_libXcursor_jll/iyuAX_eJM3J.ji.pidfile) From worker 2: 8466.9 ms ✓ Xorg_libXcursor_jll From worker 2: libass_jll Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/libass_jll/JqZi8_eJM3J.ji.pidfile) From worker 2: 23717.4 ms ✓ fzf_jll From worker 5: 24729.5 ms ✓ StatsBase From worker 3: 9282.2 ms ✓ libass_jll From worker 5: 8479.1 ms ✓ Dbus_jll From worker 2: 10661.5 ms ✓ libdecor_jll From worker 2: 25846.9 ms ✓ x264_jll From worker 2: 19130.1 ms ✓ Xorg_libXi_jll From worker 2: JLFzf Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/JLFzf/dM4lv_eJM3J.ji.pidfile) From worker 2: 34179.8 ms ✓ StatsBase From worker 2: 10666.7 ms ✓ libass_jll From worker 4: 56010.0 ms ✓ ColorSchemes From worker 5: 7550.7 ms ✓ x264_jll From worker 4: 7610.8 ms ✓ fzf_jll From worker 3: 15735.4 ms ✓ JLFzf From worker 3: 39952.9 ms ✓ Dbus_jll From worker 3: 33051.3 ms ✓ x265_jll From worker 3: 25031.8 ms ✓ Xorg_libXcursor_jll From worker 3: 40024.7 ms ✓ StatsBase From worker 3: 65613.4 ms ✓ ColorSchemes From worker 5: 7170.1 ms ✓ x265_jll From worker 5: 8535.9 ms ✓ Xorg_libXi_jll From worker 2: 22330.2 ms ✓ GLFW_jll From worker 3: 10748.3 ms ✓ libdecor_jll From worker 3: FFMPEG_jll Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/FFMPEG_jll/uSD0T_eJM3J.ji.pidfile) From worker 5: 8247.4 ms ✓ Xorg_libXcursor_jll From worker 2: 10608.9 ms ✓ FFMPEG_jll From worker 2: 86241.3 ms ✓ ColorSchemes From worker 4: 26403.0 ms ✓ StatsBase From worker 5: 9350.5 ms ✓ libass_jll From worker 5: 74300.1 ms ✓ fzf_jll From worker 4: 8054.9 ms ✓ Dbus_jll From worker 5: 10377.4 ms ✓ libdecor_jll From worker 5: 102825.8 ms ✓ ColorSchemes From worker 4: 7264.5 ms ✓ x264_jll From worker 4: 7347.6 ms ✓ x265_jll From worker 5: 10540.7 ms ✓ FFMPEG_jll From worker 4: 8194.1 ms ✓ Xorg_libXi_jll From worker 5: 14775.0 ms ✓ JLFzf From worker 4: 8256.2 ms ✓ Xorg_libXcursor_jll From worker 4: 7602.6 ms ✓ libass_jll From worker 4: PlotUtils Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 4: 13160.0 ms ✓ JLFzf From worker 5: 23327.6 ms ✓ GLFW_jll From worker 5: PlotUtils Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 5: FFMPEG Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/FFMPEG/TGvga_eJM3J.ji.pidfile) From worker 3: 80185.9 ms ✓ PlotUtils From worker 4: 9650.0 ms ✓ libdecor_jll From worker 3: 9061.3 ms ✓ GLFW_jll From worker 3: 89260.2 ms ✓ FFMPEG_jll From worker 2: 64795.8 ms ✓ FFMPEG From worker 2: GR_jll Being precompiled by another process (pid: 179, pidfile: /home/pkgeval/.julia/compiled/v1.13/GR_jll/jV9xf_eJM3J.ji.pidfile) From worker 5: 15935.6 ms ✓ GR_jll From worker 5: 15952.6 ms ✓ PlotUtils From worker 5: 15984.0 ms ✓ FFMPEG From worker 4: 11180.1 ms ✓ FFMPEG_jll From worker 4: 34286.9 ms ✓ PlotUtils From worker 4: 10033.0 ms ✓ GLFW_jll From worker 4: 8438.2 ms ✓ FFMPEG From worker 4: PlotThemes Being precompiled by another process (pid: 175, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 3: 46343.6 ms ✓ PlotThemes From worker 3: RecipesPipeline Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 5: 50161.3 ms ✓ GR From worker 3: 9068.1 ms ✓ FFMPEG From worker 3: GR_jll Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/GR_jll/jV9xf_eJM3J.ji.pidfile) From worker 4: 39162.9 ms ✓ RecipesPipeline From worker 4: GR_jll Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/GR_jll/jV9xf_eJM3J.ji.pidfile) From worker 4: 39172.2 ms ✓ PlotThemes From worker 3: 17191.6 ms ✓ RecipesPipeline From worker 2: 68424.0 ms ✓ PlotUtils From worker 2: 181537.4 ms ✓ JLFzf From worker 2: PlotThemes Being precompiled by another process (pid: 179, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 5: 22539.8 ms ✓ PlotThemes From worker 5: RecipesPipeline Being precompiled by another process (pid: 171, pidfile: /home/pkgeval/.julia/compiled/v1.13/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 4: 11809.3 ms ✓ GR_jll From worker 3: 20813.3 ms ✓ GR_jll From worker 3: GR Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/GR/NDU5Y_eJM3J.ji.pidfile) From worker 4: 16582.0 ms ✓ GR From worker 3: 16662.6 ms ✓ GR From worker 3: Plots Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: 21874.6 ms ✓ RecipesPipeline From worker 2: 94786.8 ms ✓ GR_jll From worker 5: 21447.8 ms ✓ RecipesPipeline From worker 5: Plots Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: 16489.9 ms ✓ GR From worker 2: 60393.6 ms ✓ PlotThemes From worker 2: Plots Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 4: 145074.9 ms ✓ Plots From worker 2: 104366.0 ms ✓ Plots From worker 2: UnitfulExt Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 5: 144290.8 ms ✓ Plots From worker 5: UnitfulExt Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 3: 150640.7 ms ✓ Plots From worker 3: UnitfulExt Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 4: 38953.9 ms ✓ Plots → UnitfulExt From worker 4: 21 dependencies successfully precompiled in 452 seconds. 159 already precompiled. From worker 5: 37151.9 ms ✓ Plots → UnitfulExt From worker 5: 21 dependencies successfully precompiled in 454 seconds. 159 already precompiled. From worker 2: 42577.2 ms ✓ Plots → UnitfulExt From worker 2: 21 dependencies successfully precompiled in 457 seconds. 159 already precompiled. From worker 3: 41599.4 ms ✓ Plots → UnitfulExt From worker 3: 21 dependencies successfully precompiled in 462 seconds. 159 already precompiled. From worker 4: Precompiling packages... From worker 5: Precompiling packages... From worker 5: SpecialFunctionsExt Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/SpecialFunctionsExt/iWq2v_eJM3J.ji.pidfile) From worker 2: Precompiling packages... From worker 2: SpecialFunctionsExt Being precompiled by another process (pid: 176, pidfile: /home/pkgeval/.julia/compiled/v1.13/SpecialFunctionsExt/iWq2v_eJM3J.ji.pidfile) From worker 4: 7943.9 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 4: 1 dependency successfully precompiled in 9 seconds. 19 already precompiled. From worker 5: 2654.0 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 5: 1 dependency successfully precompiled in 4 seconds. 19 already precompiled. From worker 2: 772.8 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 2: 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 6.724625e+00 5 1 20 0.000000e+00 -1.000000e+01 7.331996e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.331996e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 2.185917e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.028798e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.900909e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.856014e-02 172 1 25 -5.320000e+00 -2.396000e+01 6.059098e-02 224 1 30 -5.320000e+00 -2.396000e+01 7.172918e-02 264 1 35 -2.396000e+01 -2.396000e+01 8.441901e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.763503e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.763503e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 407ms / 21.4% 12.4MiB / 62.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 51.5ms 59.3% 1.29ms 5.76MiB 74.6% 147KiB solve_subproblem 160 28.2ms 32.4% 176μs 828KiB 10.5% 5.18KiB get_dual_solution 160 1.44ms 1.7% 8.99μs 180KiB 2.3% 1.12KiB prepare_backward_pass 160 57.7μs 0.1% 361ns 0.00B 0.0% 0.00B forward_pass 40 24.8ms 28.5% 619μs 1.75MiB 22.7% 44.8KiB solve_subproblem 120 22.8ms 26.2% 190μs 1.58MiB 20.4% 13.4KiB get_dual_solution 120 102μs 0.1% 853ns 13.1KiB 0.2% 112B sample_scenario 40 392μs 0.5% 9.81μs 24.2KiB 0.3% 620B calculate_bound 40 10.6ms 12.2% 265μs 215KiB 2.7% 5.38KiB get_dual_solution 40 44.2μs 0.1% 1.10μs 4.38KiB 0.1% 112B get_dual_solution 36 29.6μs 0.0% 821ns 3.94KiB 0.0% 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 5.628300e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.526399e-02 92 1 15 -2.396000e+01 -2.396000e+01 7.559395e-02 132 1 20 -4.260000e+01 -2.396000e+01 8.765602e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.041360e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.220279e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.399910e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.581111e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.581111e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 168ms / 85.4% 15.2MiB / 94.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 107ms 74.5% 2.68ms 12.3MiB 86.2% 316KiB solve_subproblem 160 27.9ms 19.4% 174μs 830KiB 5.7% 5.19KiB get_dual_solution 160 1.41ms 1.0% 8.79μs 180KiB 1.2% 1.12KiB prepare_backward_pass 160 67.1μs 0.0% 419ns 0.00B 0.0% 0.00B forward_pass 40 25.2ms 17.5% 630μs 1.75MiB 12.2% 44.8KiB solve_subproblem 120 23.0ms 16.0% 191μs 1.58MiB 11.0% 13.4KiB get_dual_solution 120 97.7μs 0.1% 814ns 13.1KiB 0.1% 112B sample_scenario 40 448μs 0.3% 11.2μs 24.3KiB 0.2% 623B calculate_bound 40 11.5ms 8.0% 287μs 217KiB 1.5% 5.42KiB get_dual_solution 40 44.1μs 0.0% 1.10μs 4.38KiB 0.0% 112B get_dual_solution 36 27.8μs 0.0% 772ns 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 1.746371e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.774380e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.783669e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.792738e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.809330e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.819260e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.828630e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.843939e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.852920e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.862268e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.876550e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.891859e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.901240e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.912050e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.929479e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.940160e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.949670e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.964929e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.973960e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.983171e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.012560e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.027481e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.039211e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.059948e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.072299e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.083559e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.099950e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.111840e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.126150e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.148159e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.163379e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.176840e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.195830e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.209918e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.232850e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.245641e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.260540e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.279301e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.293160e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.314749e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.314749e-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 2.684400e-01 51 1 25 1.560330e+02 2.260386e+02 1.338367e+00 4203 1 30 2.138334e+03 2.336430e+02 3.913719e+00 7674 1 38 8.025312e+02 2.352957e+02 5.167837e+00 10194 1 46 1.737622e+02 2.358930e+02 6.228320e+00 12054 1 58 4.114170e+01 2.360915e+02 7.235969e+00 13734 1 63 1.493193e+03 2.362190e+02 8.715009e+00 15909 1 72 1.044387e+02 2.362973e+02 9.851159e+00 17364 1 98 5.715017e+02 2.364082e+02 1.493460e+01 23094 1 100 4.969839e+02 2.364135e+02 1.579636e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.579636e+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 8.569720e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.179839e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.518941e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.855550e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.212592e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.563788e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.922406e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.295200e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.663350e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.040025e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.040025e+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 4.258761e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.077510e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.041910e-01 2650 1 40 -1.596461e+00 -1.471258e+00 8.010142e-01 3200 1 50 -1.002277e+00 -1.471216e+00 1.002073e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.108961e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.335324e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.448238e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.670988e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.782160e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.909350e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.026625e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.146273e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.281263e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.422105e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.569460e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.805409e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.941634e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.967247e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.967247e+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 1.608706e-02 54 1 20 3.336455e+05 3.402383e+05 2.798891e-02 104 1 30 3.993519e+05 3.403155e+05 3.876591e-02 158 1 40 3.337559e+05 3.403155e+05 4.834294e-02 208 1 48 3.337559e+05 3.403155e+05 5.717802e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.717802e-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 3.480196e-02 92 1 20 4.506600e+05 4.054833e+05 5.601001e-02 172 1 30 3.959476e+05 4.067125e+05 7.485890e-02 264 1 40 4.497721e+05 4.067125e+05 9.277391e-02 344 1 47 3.959476e+05 4.067125e+05 1.072130e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.072130e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 6.056591e+00 14 1 40 2.308500e+03 4.074139e+03 6.885162e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.885162e+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 2.516813e+00 8 1 6L 4.000000e+04 6.250000e+04 3.590989e+00 60 1 15L 9.500000e+04 6.250000e+04 4.596042e+00 132 1 20L 6.000000e+04 6.250000e+04 5.507092e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.507092e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.743603e-02 8 1 16 4.000000e+04 6.250000e+04 1.059193e+00 140 1 20 4.000000e+04 6.250000e+04 1.327570e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.327570e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 6.016302e-02 5 1 10 4.000000e+04 6.250000e+04 6.859241e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.859241e-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 3.071809e-01 6 1 20L 9.000000e+00 9.000000e+00 4.029410e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.029410e-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 1.039207e+00 87 1 10 -1.109375e+01 2.605769e-01 1.052479e+00 142 1 15 3.105797e+00 5.434132e-01 1.066333e+00 197 1 20 -2.463349e+01 1.503415e+00 1.081822e+00 252 1 25 -1.421085e-14 1.514085e+00 1.097424e+00 307 1 30 4.864000e+01 1.514085e+00 3.181201e+00 394 1 35 4.864000e+01 1.514085e+00 3.194575e+00 449 1 40 -8.870299e+00 1.514085e+00 3.210150e+00 504 1 45 -1.428571e+00 1.514085e+00 3.225008e+00 559 1 48 -1.428571e+00 1.514085e+00 3.235042e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.235042e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 8.164752e-01 278 1 20 1.440356e+01 1.278425e+00 8.573382e-01 428 1 30 8.388546e+00 1.278425e+00 9.265311e-01 706 1 40 6.666667e-03 1.278410e+00 9.702320e-01 856 1 50 -5.614035e+00 1.278410e+00 1.043590e+00 1134 1 60 1.426676e+01 1.278410e+00 1.096434e+00 1284 1 64 1.261296e+01 1.278410e+00 1.118444e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.118444e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 9.149408e-02 278 1 20 1.111084e+01 1.278410e+00 1.426210e-01 428 1 30 2.293779e+01 1.278410e+00 2.370491e-01 706 1 40 1.426676e+01 1.278410e+00 3.207850e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.207850e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 5.811345e+00 900 1 20 6.374753e+00 1.361934e+01 6.188029e+00 1720 1 30 2.848217e+01 1.624016e+01 7.007434e+00 3036 1 40 1.973944e+01 1.776547e+01 7.934880e+00 4192 1 50 4.000000e+00 1.889360e+01 8.720224e+00 5020 1 60 1.142478e+01 1.907862e+01 9.599298e+00 5808 1 70 9.386421e+00 1.961295e+01 1.044828e+01 6540 1 80 5.667851e+01 1.890911e+01 1.110390e+01 7088 1 90 3.740597e+01 1.993139e+01 1.253272e+01 8180 1 100 9.867183e+00 2.001688e+01 1.322558e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.322558e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.090845e+00 36 1 10 0.000000e+00 0.000000e+00 3.135912e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.135912e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 6.896019e-03 407 1 10 2.850000e+02 5.728212e+02 6.392384e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.392384e-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 6.639957e-03 778 1 10 2.825000e+02 3.465177e+02 6.464195e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.464195e-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 6.910801e-03 1149 1 10 2.587500e+02 2.052799e+02 6.798792e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.798792e-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 7.632971e-03 1520 1 10 2.875000e+02 4.661908e+02 7.233906e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.233906e-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 7.517099e-03 1891 1 10 1.000000e+02 1.129771e+02 6.117010e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.117010e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 7.269859e-03 2262 1 10 1.625000e+02 2.794553e+02 7.598901e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.598901e-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 8.744955e-03 2633 1 10 5.487500e+02 4.077574e+02 8.167100e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.167100e-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 8.570910e-03 3004 1 10 6.771875e+02 5.210100e+02 8.336091e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.336091e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.411884e-03 3375 1 10 5.312500e+01 5.938345e+01 6.877398e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.877398e-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 1.396009e+00 235 1 10 1.000000e+01 9.159200e+00 1.879997e+00 310 1 15 1.000000e+01 9.159200e+00 2.413431e+00 385 1 20 1.000000e+01 9.159200e+00 2.939450e+00 460 1 25 1.000000e+01 9.159200e+00 5.838019e+00 695 1 30 4.000000e+00 9.159200e+00 6.333115e+00 770 1 35 1.000000e+01 9.159200e+00 6.822352e+00 845 1 40 1.000000e+01 9.159200e+00 7.375481e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.375481e+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 1.369658e+00 510 1 20 1.000000e+01 6.834387e+00 3.055075e+00 720 1 30 7.000000e+00 6.834387e+00 7.003026e+00 1230 1 40 1.000000e+01 6.823805e+00 8.610993e+00 1440 1 50 3.000000e+00 6.823805e+00 1.268404e+01 1950 1 60 2.000000e+00 6.823805e+00 1.440302e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.440302e+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 1.400556e+01 920 1 20 6.049875e+06 2.075240e+06 1.687181e+01 1340 1 30 5.496647e+05 2.078257e+06 3.006666e+01 2260 1 40 3.985383e+04 2.078257e+06 3.284861e+01 2680 1 50 2.994548e+05 2.078257e+06 4.598481e+01 3600 1 60 3.799457e+06 2.078257e+06 4.883741e+01 4020 1 61 3.549665e+06 2.078257e+06 4.910851e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.910851e+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 3.467748e+01 920 1 20L 2.799668e+06 2.079457e+06 5.651819e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.942407e+01 2260 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 27 running 1 of 1 signal (10): User defined signal 1 _ZNSt14_Function_base13_Base_managerIZN18HighsMipSolverData15feasibilityJumpEvEUlN24external_feasibilityjump8FJStatusEE_E10_M_managerERSt9_Any_dataRKS6_St18_Manager_operation 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/kZMf2/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/MOI_wrapper.jl:2230 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/MOI_wrapper.jl:2230 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: 0x7d6a83776a72) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/LeM1m/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LeM1m/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: 0x7d6a817a962f) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 solve_all_children at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:821 unknown function (ip: 0x7d6a817a7d18) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 backward_pass at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:665 unknown function (ip: 0x7d6a8378cb68) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 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: 0x7d6a8377aab1) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #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: 0x7d6a810d1792) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 _include at ./loading.jl:2908 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [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: 0x7d6a83755912) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 _include at ./loading.jl:2908 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_40575.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:286 _start at ./client.jl:553 jfptr__start_73561.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7d6aaaf2c249) 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 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_43063.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== [27] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/generation_expansion.jl:93 __libc_free at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x7ffe7a0b886f) at (unknown file) _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/kZMf2/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/MOI_wrapper.jl:2230 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/kZMf2/src/MOI_wrapper.jl:2230 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: 0x7d6a83776a72) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/LeM1m/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LeM1m/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: 0x7d6a817a962f) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 solve_all_children at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:821 unknown function (ip: 0x7d6a817a7d18) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 backward_pass at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:665 unknown function (ip: 0x7d6a8378cb68) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 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: 0x7d6a8377aab1) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 #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: 0x7d6a810d1792) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 _include at ./loading.jl:2908 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [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: 0x7d6a83755912) at (unknown file) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 _include at ./loading.jl:2908 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_40575.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:286 _start at ./client.jl:553 jfptr__start_73561.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3807 [inlined] ijl_apply_generic at /source/src/gf.c:4004 jl_apply at /source/src/julia.h:2345 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7d6aaaf2c249) 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: 468775444 (Pool: 468514586; Big: 260858); GC: 136 PkgEval terminated after 2765.8s: test duration exceeded the time limit