Package evaluation to test SDDP on Julia 1.14.0-DEV.2705 (2f35a920f0*) started at 2026-07-19T19:42:51.377 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.53s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [f4570300] + SDDP v1.13.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [d1d4a3ce] + BitFlags v0.1.10 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.4.1 ⌅ [cd3eb016] + HTTP v1.11.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.1 [4076af6c] + JuMP v1.30.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.51.2 [739be429] + MbedTLS v1.1.10 [d8a4904e] + MutableArithmetics v1.8.0 [77ba4419] + NaNMath v1.1.4 [4d8831e6] + OpenSSL v1.6.1 ⌅ [bac558e1] + OrderedCollections v1.8.2 [69de0a69] + Parsers v2.8.6 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.2 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.8.0 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.8.2 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.5+2 [14a3606d] + MozillaCACerts_jll v2026.7.16 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.69s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 9.5 s ✓ MathOptIIS 28.5 s ✓ SDDP 41.8 s ✓ HiGHS 3 dependencies successfully precompiled in 87 seconds. 207 already precompiled. Precompilation completed after 110.3s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_TwOwef/Project.toml` ⌅ [87dc4568] HiGHS v1.22.2 [b6b21f68] Ipopt v1.15.0 [682c06a0] JSON v1.6.1 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.6 [f4570300] SDDP v1.13.2 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_TwOwef/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [d1d4a3ce] BitFlags v0.1.10 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [f0e56b4a] ConcurrentUtilities v2.5.1 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.6 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.5 plus 12.58 for vertex selection. Node: 2 - elapsed time: 0.32 plus 0.31 for vertex selection. Node: 1 - elapsed time: 0.33 plus 0.29 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 14.341524911 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/R1Ovj/src/Inner.jl:1049 Node: 19 - elapsed time: 0.36 plus 0.34 for vertex selection. Node: 18 - elapsed time: 0.5 plus 0.34 for vertex selection. Node: 17 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 16 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 15 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 14 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 13 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 12 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 11 - elapsed time: 0.48 plus 0.33 for vertex selection. Node: 10 - elapsed time: 0.47 plus 0.29 for vertex selection. Node: 9 - elapsed time: 0.48 plus 0.33 for vertex selection. Node: 8 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 7 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 6 - elapsed time: 0.5 plus 0.33 for vertex selection. Node: 5 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 4 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 3 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 2 - elapsed time: 0.5 plus 0.32 for vertex selection. Node: 1 - elapsed time: 0.47 plus 0.32 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:402 [ 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, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 6.162021e-01 4 1 3 0.000000e+00 0.000000e+00 1.302795e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.302795e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 4.829581e-01 9 1 20 7.500000e+04 1.075000e+05 1.257040e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.257040e+00 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 ┌ 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/R1Ovj/src/algorithm.jl:1182 [ 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/R1Ovj/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, 2017-26 ------------------------------------------------------------------- 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 2.188270e+00 12 1 10 2.500000e+00 3.361111e+01 2.219891e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.219891e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 4.081478e-01 12 1 10 2.500000e+00 3.361111e+01 4.807398e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.807398e-01 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.233315e-02 46 1 50 0.000000e+00 1.191663e+02 5.260890e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.260890e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.111507e-02 46 1 50 0.000000e+00 1.191663e+02 5.676999e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.676999e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 4.383274e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.261621e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.346102e+00 412 1 5S -7.577792e+01 -6.680771e+01 8.502080e+00 515 1 6S -6.064080e+01 -6.678327e+01 9.645852e+00 618 1 13S -3.268889e+01 -6.677644e+01 1.539270e+01 1339 1 23S -3.268889e+01 -6.677644e+01 2.134127e+01 2369 1 33S -8.368889e+01 -6.677644e+01 2.732115e+01 3399 1 43S -8.368889e+01 -6.677644e+01 3.316259e+01 4429 1 51S -5.268889e+01 -6.677644e+01 3.834576e+01 5253 1 61S -6.068889e+01 -6.677644e+01 4.432084e+01 6283 1 71S -3.268889e+01 -6.677644e+01 5.017475e+01 7313 1 81S -6.468889e+01 -6.677644e+01 5.610496e+01 8343 1 91S -6.068889e+01 -6.677644e+01 6.183362e+01 9373 1 100 -8.368889e+01 -6.677644e+01 6.648867e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.648867e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 4.395604e-02 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.395604e-02 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [1, 1] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.000000e+00 6.000000e+00 3.354200e+02 2 4 20 3.000000e+00 6.000000e+00 3.396901e+02 40 4 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.396901e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.100000e+00 ± 1.004453e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 7.706890e-01 48 1 20 9.000000e+00 6.000000e+00 1.216551e+00 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.216551e+00 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 2.677598e-01 4 1 50 0.000000e+00 0.000000e+00 6.075380e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 6.075380e-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/R1Ovj/src/plugins/stopping_rules.jl:133 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/R1Ovj/src/plugins/stopping_rules.jl:133 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/R1Ovj/src/plugins/stopping_rules.jl:133 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:49 └ @ Main.TestVisualization ~/.julia/packages/SDDP/R1Ovj/test/visualization/visualization.jl:49 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 8.131921e+00 5 1 20 0.000000e+00 -1.000000e+01 8.917970e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.917970e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 3.857770e-01 52 1 10 -2.396000e+01 -2.396000e+01 3.954120e-01 92 1 15 -4.260000e+01 -2.396000e+01 4.065239e-01 132 1 20 -2.396000e+01 -2.396000e+01 4.187241e-01 172 1 25 -5.320000e+00 -2.396000e+01 4.336810e-01 224 1 30 -5.320000e+00 -2.396000e+01 4.590271e-01 264 1 35 -2.396000e+01 -2.396000e+01 4.739420e-01 304 1 40 -2.396000e+01 -2.396000e+01 4.898670e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.898670e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 1.57s / 26.0% 12.8MiB / 48.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 330ms 81.0% 8.24ms 648KiB 10.3% 16.2KiB solve_subproblem 120 327ms 80.2% 2.72ms 475KiB 7.5% 3.96KiB get_dual_solution 120 54.0μs 0.0% 450ns 13.1KiB 0.2% 112B sample_scenario 40 714μs 0.2% 17.9μs 22.3KiB 0.4% 572B backward_pass 40 64.3ms 15.8% 1.61ms 5.33MiB 86.8% 136KiB solve_subproblem 160 33.2ms 8.2% 208μs 721KiB 11.5% 4.51KiB get_dual_solution 160 1.64ms 0.4% 10.3μs 185KiB 2.9% 1.16KiB prepare_backward_pass 160 209μs 0.1% 1.30μs 15.0KiB 0.2% 96.0B calculate_bound 40 13.0ms 3.2% 325μs 182KiB 2.9% 4.54KiB get_dual_solution 40 31.0μs 0.0% 775ns 4.38KiB 0.1% 112B get_dual_solution 36 14.5μs 0.0% 402ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 5.255389e-01 52 1 10 -2.396000e+01 -2.396000e+01 5.358210e-01 92 1 15 -2.396000e+01 -2.396000e+01 5.477929e-01 132 1 20 -4.260000e+01 -2.396000e+01 5.618320e-01 172 1 25 -5.320000e+00 -2.396000e+01 5.797958e-01 224 1 30 -2.396000e+01 -2.396000e+01 5.974801e-01 264 1 35 -2.396000e+01 -2.396000e+01 6.176550e-01 304 1 40 -5.320000e+00 -2.396000e+01 6.395500e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.395500e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 645ms / 89.6% 12.4MiB / 93.7% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 325ms 56.2% 8.13ms 648KiB 5.5% 16.2KiB solve_subproblem 120 322ms 55.7% 2.69ms 475KiB 4.0% 3.96KiB get_dual_solution 120 47.5μs 0.0% 396ns 13.1KiB 0.1% 112B sample_scenario 40 598μs 0.1% 14.9μs 22.5KiB 0.2% 575B backward_pass 40 239ms 41.3% 5.98ms 10.8MiB 93.0% 276KiB solve_subproblem 160 32.9ms 5.7% 206μs 722KiB 6.1% 4.51KiB get_dual_solution 160 1.63ms 0.3% 10.2μs 185KiB 1.6% 1.16KiB prepare_backward_pass 160 214μs 0.0% 1.34μs 15.0KiB 0.1% 96.0B calculate_bound 40 14.2ms 2.4% 354μs 183KiB 1.5% 4.58KiB get_dual_solution 40 24.7μs 0.0% 617ns 4.38KiB 0.0% 112B get_dual_solution 36 17.3μs 0.0% 480ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 5.941570e-01 5 1 2 -2.500000e+00 -2.000000e+00 6.448419e-01 14 1 3 -1.000000e+00 -2.000000e+00 6.461358e-01 19 1 4 -1.000000e+00 -2.000000e+00 6.470330e-01 24 1 5 -1.000000e+00 -2.000000e+00 6.479049e-01 29 1 6 -3.000000e+00 -2.000000e+00 6.488008e-01 34 1 7 -1.000000e+00 -2.000000e+00 6.496439e-01 39 1 8 -1.000000e+00 -2.000000e+00 6.505198e-01 44 1 9 -3.000000e+00 -2.000000e+00 6.513939e-01 49 1 10 -1.000000e+00 -2.000000e+00 6.523569e-01 54 1 11 -3.000000e+00 -2.000000e+00 6.534209e-01 59 1 12 -3.000000e+00 -2.000000e+00 6.544099e-01 64 1 13 -1.000000e+00 -2.000000e+00 6.554279e-01 69 1 14 -1.000000e+00 -2.000000e+00 6.564438e-01 74 1 15 -3.000000e+00 -2.000000e+00 6.574750e-01 79 1 16 -1.000000e+00 -2.000000e+00 6.585269e-01 84 1 17 -3.000000e+00 -2.000000e+00 6.595578e-01 89 1 18 -3.000000e+00 -2.000000e+00 6.606178e-01 94 1 19 -1.000000e+00 -2.000000e+00 6.616740e-01 99 1 20 -3.000000e+00 -2.000000e+00 6.627789e-01 104 1 21 -1.000000e+00 -2.000000e+00 6.646528e-01 113 1 22 -1.000000e+00 -2.000000e+00 6.657760e-01 118 1 23 -3.000000e+00 -2.000000e+00 6.668959e-01 123 1 24 -3.000000e+00 -2.000000e+00 6.680579e-01 128 1 25 -1.000000e+00 -2.000000e+00 6.692209e-01 133 1 26 -3.000000e+00 -2.000000e+00 6.703999e-01 138 1 27 -3.000000e+00 -2.000000e+00 6.715698e-01 143 1 28 -1.000000e+00 -2.000000e+00 6.727600e-01 148 1 29 -3.000000e+00 -2.000000e+00 6.739728e-01 153 1 30 -3.000000e+00 -2.000000e+00 6.752279e-01 158 1 31 -1.000000e+00 -2.000000e+00 6.764579e-01 163 1 32 -1.000000e+00 -2.000000e+00 6.776989e-01 168 1 33 -1.000000e+00 -2.000000e+00 6.789589e-01 173 1 34 -3.000000e+00 -2.000000e+00 6.802900e-01 178 1 35 -1.000000e+00 -2.000000e+00 6.816468e-01 183 1 36 -3.000000e+00 -2.000000e+00 6.830418e-01 188 1 37 -1.000000e+00 -2.000000e+00 6.844330e-01 193 1 38 -1.000000e+00 -2.000000e+00 6.858230e-01 198 1 39 -1.000000e+00 -2.000000e+00 6.872380e-01 203 1 40 -1.000000e+00 -2.000000e+00 6.887069e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.887069e-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, 2017-26 ------------------------------------------------------------------- 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 8.570549e-01 51 1 21 8.151871e+01 2.236176e+02 1.875192e+00 3723 1 30 2.138334e+03 2.336430e+02 3.361684e+00 7674 1 38 8.025312e+02 2.352957e+02 4.585218e+00 10194 1 46 1.737622e+02 2.358930e+02 5.712360e+00 12054 1 57 6.154394e+01 2.360915e+02 6.738035e+00 13671 1 63 1.493193e+03 2.362190e+02 8.409149e+00 15909 1 71 1.519535e+02 2.362929e+02 9.466699e+00 17205 1 98 5.715017e+02 2.364082e+02 1.476395e+01 23094 1 100 4.969839e+02 2.364135e+02 1.562176e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.562176e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 2.015151e+00 1400 1 20 -4.764789e+00 -4.394789e+00 2.316029e+00 2800 1 30 -4.672487e+00 -4.377000e+00 2.638352e+00 4200 1 40 -4.483495e+00 -4.370632e+00 2.983253e+00 5600 1 50 -4.167321e+00 -4.364999e+00 3.339466e+00 7000 1 60 -4.362455e+00 -4.358864e+00 3.688757e+00 8400 1 70 -4.849916e+00 -4.355337e+00 4.046677e+00 9800 1 80 -4.861568e+00 -4.353006e+00 4.427855e+00 11200 1 90 -4.268264e+00 -4.350407e+00 4.806612e+00 12600 1 100 -4.539897e+00 -4.348641e+00 5.196205e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.196205e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 9.803481e-01 1050 1 20 -1.529197e+00 -1.471817e+00 1.073643e+00 1600 1 30 -1.410768e+00 -1.471408e+00 1.272158e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.381135e+00 3200 1 50 -1.002277e+00 -1.471216e+00 1.596162e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.708653e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.924024e+00 5850 1 80 -1.448703e+00 -1.471132e+00 2.037044e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.250777e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.368657e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.484662e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.606786e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.734933e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.871973e+00 10200 1 150 -1.536222e+00 -1.471075e+00 3.010340e+00 10750 1 160 -1.565422e+00 -1.471075e+00 3.160076e+00 11300 1 170 -1.631076e+00 -1.471075e+00 3.303398e+00 11850 1 180 -1.494909e+00 -1.471075e+00 3.468905e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.495413e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.495413e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 3.858368e-01 54 1 20 3.336455e+05 3.402383e+05 3.994670e-01 104 1 30 3.993519e+05 3.403155e+05 4.140499e-01 158 1 40 3.337559e+05 3.403155e+05 4.278560e-01 208 1 48 3.337559e+05 3.403155e+05 4.402599e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.402599e-01 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 5.292830e-01 92 1 20 4.506600e+05 4.054833e+05 5.537550e-01 172 1 30 3.959476e+05 4.067125e+05 5.773811e-01 264 1 40 4.497721e+05 4.067125e+05 5.989480e-01 344 1 47 3.959476e+05 4.067125e+05 6.169260e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.169260e-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, 2017-26 ------------------------------------------------------------------- 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 9.456278e+00 14 1 40 2.308500e+03 4.074139e+03 1.039503e+01 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.039503e+01 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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 3.332352e+00 8 1 5L 4.000000e+04 6.250000e+04 4.523388e+00 52 1 11L 4.000000e+04 6.250000e+04 5.662644e+00 100 1 17L 4.000000e+04 6.250000e+04 6.822970e+00 148 1 20L 6.000000e+04 6.250000e+04 7.491462e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.491462e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 4.758971e-01 8 1 15 5.500000e+04 6.250000e+04 1.551383e+00 132 1 20 4.000000e+04 6.250000e+04 1.939896e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.939896e+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, 2017-26 ------------------------------------------------------------------- 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 1.245929e+00 5 1 10 4.000000e+04 6.250000e+04 2.011260e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.011260e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 8.098950e-01 6 1 20L 9.000000e+00 9.000000e+00 9.693520e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.693520e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 2.543716e+00 87 1 10 -1.109375e+01 2.605769e-01 2.557097e+00 142 1 15 3.105797e+00 5.434132e-01 2.570863e+00 197 1 20 -2.463349e+01 1.503415e+00 2.585799e+00 252 1 25 -1.421085e-14 1.514085e+00 2.601576e+00 307 1 30 4.864000e+01 1.514085e+00 6.632679e+00 394 1 35 4.864000e+01 1.514085e+00 6.647516e+00 449 1 40 -8.870299e+00 1.514085e+00 6.662595e+00 504 1 45 -1.428571e+00 1.514085e+00 6.678269e+00 559 1 48 -1.428571e+00 1.514085e+00 6.689384e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.689384e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 2.548419e+00 278 1 20 1.440356e+01 1.278425e+00 2.587710e+00 428 1 30 8.388546e+00 1.278425e+00 2.654735e+00 706 1 40 6.666667e-03 1.278410e+00 2.697417e+00 856 1 50 -5.614035e+00 1.278410e+00 2.764405e+00 1134 1 60 1.426676e+01 1.278410e+00 2.811352e+00 1284 1 64 1.261296e+01 1.278410e+00 2.831822e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.831822e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 1.048720e+00 278 1 20 1.111084e+01 1.278410e+00 1.104443e+00 428 1 30 2.293779e+01 1.278410e+00 1.191306e+00 706 1 40 1.426676e+01 1.278410e+00 1.270649e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.270649e+00 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, 2017-26 ------------------------------------------------------------------- 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 2.694235e+00 1.060052e+01 9.356665e+00 900 1 20 5.498088e+00 1.456766e+01 9.893712e+00 1720 1 30 2.912197e+01 1.665921e+01 1.102697e+01 3036 1 40 1.608515e+01 1.792397e+01 1.226463e+01 4192 1 50 3.997965e+00 1.830624e+01 1.330910e+01 5020 1 60 1.102045e+01 1.840685e+01 1.463613e+01 5808 1 70 8.045596e+00 1.846781e+01 1.577975e+01 6540 1 80 4.710242e+01 1.851858e+01 1.667335e+01 7088 1 90 3.901806e+01 1.865685e+01 1.866630e+01 8180 1 100 8.003646e+00 1.869095e+01 1.959836e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.959836e+01 total solves : 8664 best bound : 1.869095e+01 simulation ci : 2.075231e+01 ± 4.077473e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- 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 3.696309e+00 36 1 10 0.000000e+00 0.000000e+00 3.746849e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.746849e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 7.474899e-03 407 1 10 2.850000e+02 5.728212e+02 7.101583e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.101583e-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, 2017-26 ------------------------------------------------------------------- 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 1.132894e-02 778 1 10 2.825000e+02 3.465177e+02 7.603192e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.603192e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 7.770061e-03 1149 1 10 2.587500e+02 2.052799e+02 7.079506e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.079506e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 8.079052e-03 1520 1 10 2.875000e+02 4.661908e+02 7.625890e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.625890e-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, 2017-26 ------------------------------------------------------------------- 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 7.663012e-03 1891 1 10 1.000000e+02 1.129771e+02 6.913996e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.913996e-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, 2017-26 ------------------------------------------------------------------- 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 7.889986e-03 2262 1 10 1.625000e+02 2.794553e+02 7.474709e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.474709e-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, 2017-26 ------------------------------------------------------------------- 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 8.512020e-03 2633 1 10 5.487500e+02 4.077574e+02 7.861209e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.861209e-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, 2017-26 ------------------------------------------------------------------- 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 8.893967e-03 3004 1 10 6.771875e+02 5.210100e+02 8.003688e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.003688e-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, 2017-26 ------------------------------------------------------------------- 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 8.075953e-03 3375 1 10 5.312500e+01 5.938345e+01 7.106280e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.106280e-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, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 2.755203e+00 235 1 10 1.000000e+01 9.159200e+00 3.276615e+00 310 1 15 1.000000e+01 9.159200e+00 3.858129e+00 385 1 20 1.000000e+01 9.159200e+00 4.396120e+00 460 1 25 1.000000e+01 9.159200e+00 7.322904e+00 695 1 30 4.000000e+00 9.159200e+00 7.788177e+00 770 1 35 1.000000e+01 9.159200e+00 8.327198e+00 845 1 40 1.000000e+01 9.159200e+00 8.897155e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.897155e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 2.026508e+00 510 1 20 1.000000e+01 6.834387e+00 3.792934e+00 720 1 30 7.000000e+00 6.834387e+00 7.733778e+00 1230 1 40 1.000000e+01 6.823805e+00 9.498383e+00 1440 1 50 3.000000e+00 6.823805e+00 1.364240e+01 1950 1 60 2.000000e+00 6.823805e+00 1.544188e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.544188e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.208793e+01 920 1 20 6.049875e+06 2.075240e+06 1.465216e+01 1340 1 30 5.496647e+05 2.078257e+06 2.466690e+01 2260 1 40 3.985383e+04 2.078257e+06 2.759703e+01 2680 1 50 2.994548e+05 2.078257e+06 3.775017e+01 3600 1 60 3.799457e+06 2.078257e+06 4.040914e+01 4020 1 61 3.549665e+06 2.078257e+06 4.066365e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.066365e+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, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.015888e+01 920 1 20L 2.799668e+06 2.079457e+06 4.987781e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.832999e+01 2260 1 40L 4.299882e+06 2.079457e+06 9.838132e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.838132e+01 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.188534e+02 3.753191e+00 1914 1 200 0.000000e+00 1.191645e+02 4.245374e+00 3840 1 300 7.500000e+01 1.191666e+02 4.747496e+00 5738 1 328 2.500000e+00 1.191667e+02 4.847702e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.847702e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 9.432120e-01 2806 1 200 0.000000e+00 1.191666e+02 1.566374e+00 4749 1 287 5.000000e+00 1.191667e+02 2.037284e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.037284e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 4.522541e-01 1033 1 20 8.000000e+00 2.000000e+01 4.829319e-01 1209 1 30 1.200000e+01 2.000000e+01 6.392989e-01 2304 1 40 3.000000e+01 2.000000e+01 7.557769e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.557769e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2) sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+01] bounds range [2e+01, 2e+02] rhs range [8e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.948878e+03 2.847167e+03 6.878660e-01 35 1 10 7.500000e+02 2.935390e+03 7.611511e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.611511e-01 total solves : 350 best bound : 2.935390e+03 simulation ci : 1.544902e+03 ± 5.533339e+02 numeric issues : 0 ------------------------------------------------------------------- Building and solving inner model for upper bounds: Node: 3 - elapsed time: 0.38 plus 0.73 for vertex selection. Node: 2 - elapsed time: 0.3 plus 0.21 for vertex selection. Node: 1 - elapsed time: 0.37 plus 0.23 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 2.2254213309999997 Bounds: Risk-neutral confidence interval: 1411.99 ± 82.02 Risk-adjusted lower bound: 2935.39 Risk-adjusted upper bound: 2969.68 [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 1.230788e-02 3 1 40 2.000000e+00 2.000000e+00 3.835719e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.835719e-01 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 1.906824e+00 1350 1 20 5.062500e+00 4.110713e+00 2.155513e+00 2700 1 30 4.500000e+00 4.104200e+00 2.422103e+00 4050 1 40 3.812500e+00 4.102669e+00 2.696868e+00 5400 1 50 4.725000e+00 4.095504e+00 2.987980e+00 6750 1 60 4.050000e+00 4.092999e+00 3.301441e+00 8100 1 70 4.606250e+00 4.091524e+00 3.566073e+00 9450 1 80 3.875000e+00 4.089694e+00 3.867922e+00 10800 1 90 3.750000e+00 4.089490e+00 4.168253e+00 12150 1 100 5.125000e+00 4.087894e+00 4.481341e+00 13500 1 110 4.500000e+00 4.087478e+00 4.790440e+00 14850 1 120 3.650000e+00 4.086704e+00 5.102830e+00 16200 1 130 4.406250e+00 4.086063e+00 5.425024e+00 17550 1 140 3.375000e+00 4.085981e+00 5.730105e+00 18900 1 150 3.000000e+00 4.085945e+00 6.057829e+00 20250 1 160 3.812500e+00 4.085838e+00 6.383595e+00 21600 1 170 4.250000e+00 4.085728e+00 6.714348e+00 22950 1 180 3.243750e+00 4.085593e+00 7.042922e+00 24300 1 190 4.306250e+00 4.085487e+00 7.379031e+00 25650 1 200 5.237500e+00 4.085446e+00 7.727212e+00 27000 1 210 4.500000e+00 4.085441e+00 8.078162e+00 28350 1 220 3.612500e+00 4.085405e+00 8.423972e+00 29700 1 230 3.700000e+00 4.085382e+00 8.776999e+00 31050 1 240 3.437500e+00 4.085254e+00 9.121199e+00 32400 1 250 4.100000e+00 4.085115e+00 9.459538e+00 33750 1 260 3.000000e+00 4.084973e+00 9.814319e+00 35100 1 270 4.918750e+00 4.084943e+00 1.015246e+01 36450 1 280 2.756250e+00 4.084920e+00 1.062370e+01 37800 1 290 3.737500e+00 4.084868e+00 1.098963e+01 39150 1 300 5.750000e+00 4.084868e+00 1.134174e+01 40500 1 310 5.156250e+00 4.084858e+00 1.171310e+01 41850 1 320 3.131250e+00 4.084855e+00 1.209043e+01 43200 1 330 4.125000e+00 4.084846e+00 1.244189e+01 44550 1 340 5.875000e+00 4.084820e+00 1.281692e+01 45900 1 350 4.587500e+00 4.084810e+00 1.319284e+01 47250 1 360 5.087500e+00 4.084805e+00 1.358163e+01 48600 1 370 4.393750e+00 4.084802e+00 1.395725e+01 49950 1 380 4.750000e+00 4.084792e+00 1.432273e+01 51300 1 390 4.437500e+00 4.084785e+00 1.468974e+01 52650 1 400 4.181250e+00 4.084785e+00 1.506259e+01 54000 1 410 3.650000e+00 4.084777e+00 1.544724e+01 55350 1 420 3.750000e+00 4.084769e+00 1.584238e+01 56700 1 430 3.725000e+00 4.084762e+00 1.623562e+01 58050 1 440 4.218750e+00 4.084751e+00 1.662256e+01 59400 1 450 5.500000e+00 4.084751e+00 1.701165e+01 60750 1 460 3.637500e+00 4.084747e+00 1.738842e+01 62100 1 470 2.993750e+00 4.084743e+00 1.778677e+01 63450 1 480 5.237500e+00 4.084743e+00 1.821144e+01 64800 1 490 4.212500e+00 4.084743e+00 1.862501e+01 66150 1 500 3.843750e+00 4.084743e+00 1.902559e+01 67500 1 510 3.425000e+00 4.084743e+00 1.940602e+01 68850 1 520 4.293750e+00 4.084743e+00 1.978927e+01 70200 1 526 5.300000e+00 4.084740e+00 2.001800e+01 71010 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001800e+01 total solves : 71010 best bound : 4.084740e+00 simulation ci : 4.061324e+00 ± 6.586246e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.081250e+00 4.065369e+00 1.354535e+00 1350 1 20 4.125000e+00 4.053193e+00 2.155532e+00 2700 1 30 4.875000e+00 4.047593e+00 3.503223e+00 4050 1 40 3.393750e+00 4.041930e+00 5.047402e+00 5400 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 90 running 1 of 1 signal (10): User defined signal 1 _ZNK7HFactor6ftranUER11HVectorBaseIdEdP15HighsTimerClock at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZNK7HFactor9ftranCallER11HVectorBaseIdEdP15HighsTimerClock at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual14updateFtranDSEEP11HVectorBaseIdE at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual7iterateEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual11solvePhase2Ev at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual5solveEb at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN4HEkk5solveEb at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZZ7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEENKUlvE_clEv.lto_priv.5818 at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _Z7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs11callSolveLpER7HighsLpNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZZN5Highs19calledOptimizeModelEvENKUlR7HighsLpRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERdE_clES1_S9_SA_.isra.508 at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs19calledOptimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/gen/libhighs.jl:328:0 [inlined] _Highs_run_workaround_issue_316 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2253:0 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 [inlined] disable_sigint at ./c.jl:153:0 (pc: 4) optimize! at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 (pc: 249) optimize! at /home/pkgeval/.julia/packages/MathOptInterface/CnW3S/src/Bridges/bridge_optimizer.jl:367:0 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/CnW3S/src/Utilities/cachingoptimizer.jl:379:0 (pc: 139) unknown function (ip: 0x745bb0ddb2a2) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:610:0 (pc: 345) optimize! at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:560:0 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:518:0 (pc: 53) solve_subproblem at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:492:0 (pc: 7) unknown function (ip: 0x745b8a3fd7e7) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 #calculate_bound#84 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:921:0 (pc: 291) calculate_bound at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:881:0 [inlined] calculate_bound at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:881:0 (pc: 2) unknown function (ip: 0x745bb0dfb707) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 iteration at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:980:0 (pc: 592) #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:51:0 (pc: 3) disable_sigint at ./c.jl:153:0 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:50:0 (pc: 7) unknown function (ip: 0x745bb0de031d) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 #train#91 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1292:0 (pc: 480) train at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1117:0 [inlined] #newsvendor_example#210 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:67:0 (pc: 13) newsvendor_example at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:35:0 (pc: 5) unknown function (ip: 0x745b8a3efa32) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) include_string at ./loading.jl:3186:0 (pc: 208) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 _include at ./loading.jl:3248:0 (pc: 123) include at ./Base.jl:326:0 (pc: 1) IncludeInto at ./Base.jl:327:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:0 (pc: 599) util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:0 (pc: 4) unknown function (ip: 0x745bb0dc97d2) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 eval_body at /source/src/interpreter.c:617:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) include_string at ./loading.jl:3186:0 (pc: 208) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 _include at ./loading.jl:3248:0 (pc: 123) include at ./Base.jl:326:0 (pc: 1) IncludeInto at ./Base.jl:327:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 426) _start at ./client.jl:596:0 (pc: 295) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] true_main at /source/src/jlapi.c:989:29 jl_repl_entrypoint at /source/src/jlapi.c:1156:15 main at /source/cli/loader_exe.c:103:15 unknown function (ip: 0x745c1048e249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== 50 ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 3.812500e+00Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000745bf51fc010 Total snapshots: 170. Utilization: 100% ╎170 @Base/client.jl:596 _start() ╎ 170 @Base/client.jl:321 exec_options(opts::Base.JLOptions) ╎ 170 @Base/boot.jl:545 eval(m::Module, e::Any) ╎ 170 @Base/Base.jl:327 (::Base.IncludeInto)(fname::String) ╎ 170 @Base/Base.jl:326 include(mapexpr::Function, mod::Module, _path::St… ╎ 170 @Base/loading.jl:3248 _include(mapexpr::Function, mod::Module, _pa… ╎ ╎ 170 @Base/loading.jl:3186 include_string(mapexpr::typeof(identity), m… ╎ ╎ 170 @Base/boot.jl:545 eval(m::Module, e::Any) ╎ ╎ 170 …vj/test/runtests.jl:11 util_test_directory(dir::String) ╎ ╎ 170 …j/test/runtests.jl:15 util_test_directory(dir::String, exclud… ╎ ╎ 170 @Test/src/Test.jl:2246 macro expansion ╎ ╎ ╎ 170 …j/test/runtests.jl:17 macro expansion ╎ ╎ ╎ 170 @Base/Base.jl:327 (::Base.IncludeInto)(fname::String) ╎ ╎ ╎ 170 @Base/Base.jl:326 include(mapexpr::Function, mod::Module, … ╎ ╎ ╎ 170 @Base/loading.jl:3248 _include(mapexpr::Function, mod::Mo… ╎ ╎ ╎ 170 @Base/loading.jl:3186 include_string(mapexpr::typeof(ide… ╎ ╎ ╎ ╎ 170 @Base/boot.jl:545 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 170 …e_newsvendor.jl:35 kwcall(::@NamedTuple{cut_type::SDD… ╎ ╎ ╎ ╎ 170 …e_newsvendor.jl:67 newsvendor_example(; cut_type::SD… ╎ ╎ ╎ ╎ 170 @SDDP/…orithm.jl:1117 kwcall(::@NamedTuple{log_frequ… ╎ ╎ ╎ ╎ 170 @SDDP/…rithm.jl:1292 train(model::SDDP.PolicyGraph{… ╎ ╎ ╎ ╎ ╎ 170 @SDDP/…chemes.jl:50 master_loop(::SDDP.Serial, mod… ╎ ╎ ╎ ╎ ╎ 170 @Base/c.jl:153 disable_sigint(f::SDDP.var"#master… ╎ ╎ ╎ ╎ ╎ 170 @SDDP/…hemes.jl:51 (::SDDP.var"#master_loop##0#m… ╎ ╎ ╎ ╎ ╎ 14 @SDDP/…ithm.jl:966 iteration(model::SDDP.Policy… ╎ ╎ ╎ ╎ ╎ 14 @SDDP/…sses.jl:100 forward_pass(model::SDDP.Po… ╎ ╎ ╎ ╎ ╎ ╎ 14 @SDDP/…ithm.jl:12 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 14 @SDDP/…ses.jl:101 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 14 @SDDP/…hm.jl:492 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 14 @SDDP/…hm.jl:518 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 14 @JuMP/…ce.jl:560 optimize!(model::Model) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @JuMP/…ce.jl:610 optimize!(model::Model;… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @MathOptInterface/…:379 optimize!(m::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @MathOptInterface/…:367 optimize!(b::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @HiGHS/…r.jl:2300 optimize!(model::Hi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @Base/c.jl:153 disable_sigint(f::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @HiGHS/…r.jl:2253 _Highs_run_worka… 13╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 14 @HiGHS/…s.jl:328 Highs_run(highs:… ╎ ╎ ╎ ╎ ╎ 86 @SDDP/…ithm.jl:970 iteration(model::SDDP.Policy… ╎ ╎ ╎ ╎ ╎ 60 @SDDP/…ithm.jl:676 backward_pass(model::SDDP.P… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:825 solve_all_children(model::S… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:566 update_objective_state(obj… ╎ ╎ ╎ ╎ ╎ ╎ 58 @SDDP/…thm.jl:832 solve_all_children(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 58 @SDDP/…thm.jl:492 kwcall(::@NamedTuple{duali… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:12 solve_subproblem(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ 8 @SDDP/…hm.jl:505 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 8 @SDDP/…hm.jl:300 parameterize(node::SDDP.N… ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…hm.jl:212 set_objective(node::SDDP… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…ce.jl:1391 get_objective_state_co… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…er.jl:58 getproperty(x::SDDP.Obj… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:439 iterate(z::Base.Iterat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:449 _zip_iterate_all(is::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:457 _zip_iterate_some(is… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…le.jl:33 getindex(t::Tuple{NT… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:379 zip(::Tuple{Float64}, … ╎ ╎ ╎ ╎ ╎ ╎ 3 @SDDP/…hm.jl:222 set_objective(node::SDDP… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…os.jl:419 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…on.jl:86 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…os.jl:265 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…ve.jl:345 set_objective(model::Mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…ve.jl:280 set_objective_function… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ve.jl:261 set_objective_functio… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ve.jl:268 set_objective_functio… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1271 set(m::Model, attr:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:772 set(m::MathO… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:1326 set(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1118 set(model::HiGHS… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:1619 Highs_changeCol… ╎ ╎ ╎ ╎ ╎ ╎ 45 @SDDP/…hm.jl:518 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 45 @JuMP/…ce.jl:560 optimize!(model::Model) ╎ ╎ ╎ ╎ ╎ ╎ 45 @JuMP/…ce.jl:610 optimize!(model::Model; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 45 @MathOptInterface/…:379 optimize!(m::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 45 @MathOptInterface/…:367 optimize!(b::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 45 @HiGHS/…r.jl:2300 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 45 @Base/c.jl:153 disable_sigint(f::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 45 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#4… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 45 @HiGHS/…r.jl:2253 _Highs_run_workar… 45╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 45 @HiGHS/…s.jl:328 Highs_run(highs::… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:533 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:191 get_outgoing_state(node::… ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:2091 value(v::VariableRef) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:2092 value(v::VariableRef; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1240 get(model::Model, att… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1194 _moi_get_result(::Ma… 1╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…hm.jl:534 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:244 stage_objective_value(nod… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:238 _value(x::AffExpr) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:733 value(a::AffExpr) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:734 value(a::AffExpr; resu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:418 value(var_value::JuMP… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:735 (::JuMP.var"#41#42"{… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:2091 kwcall(::@NamedTup… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:2092 value(v::Variable… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1240 get(model::Model… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1200 _moi_get_result… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:944 get(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:1401 get(b:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @HiGHS/…r.jl:2570 get(model::Hi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/int.jl:1071 +(a::Int32, b… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ls.jl:1231 +(x::Int64, y… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:536 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…rs.jl:143 get_dual_solution(node::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:93 Dict{Symbol, Float64}(kv:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…or.jl:49 iterate(::Base.Generator… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…rs.jl:143 (::SDDP.var"#get_dual_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ts.jl:1403 dual(con_ref::Constr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ts.jl:1407 dual(con_ref::Const… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ts.jl:1418 _constraint_dual(c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1260 get(model::Model,… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1200 _moi_get_result(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:940 get(model… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:869 kwcall(:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:878 _throw_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:1202 isempty(itr::… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @MathOptInterface/…:104 iterate… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:850 solve_all_children(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/dict.jl:365 setindex!(h::Dict{Tuple{In… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:339 _setindex!(h::Dict{Tuple{I… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:169 rehash!(h::Dict{Tuple{Int… ╎ ╎ ╎ ╎ ╎ 26 @SDDP/…ithm.jl:689 backward_pass(model::SDDP.P… ╎ ╎ ╎ ╎ ╎ ╎ 26 @SDDP/…ons.jl:416 refine_bellman_function(mod… ╎ ╎ ╎ ╎ ╎ ╎ 26 @SDDP/…ons.jl:471 _refine_bellman_function_n… ╎ ╎ ╎ ╎ ╎ ╎ 26 @SDDP/…ns.jl:542 _add_multi_cut(node::SDDP.… ╎ ╎ ╎ ╎ ╎ ╎ 26 @SDDP/…ns.jl:87 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:100 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:8 SDDP.Cut(intercept::Float… ╎ ╎ ╎ ╎ ╎ ╎ 3 @SDDP/…ns.jl:101 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:112 _add_cut_constraint_to_… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:379 zip(::Tuple{Float64}, … 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:113 _add_cut_constraint_to_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:128 _add_cut_constraint_to_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…os.jl:402 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…nt.jl:173 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ts.jl:1039 add_constraint(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ts.jl:1016 _moi_add_constrain… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:551 add_constra… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:2092 add_const… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1797 add_constraint(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:128 add_item… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:188 setinde… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @OrderedCollections/…:340 setin… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @OrderedCollections/…:312 _seti… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ay.jl:1373 push!(a::Vect… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ay.jl:1376 _push!(a::Vec… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ay.jl:1233 _growend!(a::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Base/…ay.jl:1213 _growend_inte… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Base/…ry.jl:116 unsafe_copyto!… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Base/…em.jl:28 memmove(dst::Pt… ╎ ╎ ╎ ╎ ╎ ╎ 22 @SDDP/…ns.jl:103 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:165 _cut_selection_update(V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:168 _cut_selection_update(V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:139 _eval_height(cut::SDDP… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:478 getindex(h::Dict{Symb… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:243 ht_keyindex(h::Dict{… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 @SDDP/…ns.jl:197 _cut_selection_update(V… 3╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…ns.jl:112 _add_cut_constraint_to… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…rs.jl:379 zip(::Tuple{Float64},… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…ns.jl:128 _add_cut_constraint_to… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…os.jl:402 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…nt.jl:173 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…ts.jl:1039 add_constraint(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @JuMP/…ts.jl:1016 _moi_add_constrai… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @MathOptInterface/…:551 add_constr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @MathOptInterface/…:2092 add_cons… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1797 add_constraint… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:128 add_ite… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @MathOptInterface/…:188 setinde… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @OrderedCollections/…:334 setin… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @OrderedCollections/…:275 ht_ke… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ls.jl:1040 getindex(A::V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1802 add_constraint… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:1427 Highs_addRow(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 13 @SDDP/…ns.jl:211 _cut_selection_update(V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 13 @JuMP/…ts.jl:570 delete(model::Model, c… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 12 @MathOptInterface/…:707 delete(m::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 12 @MathOptInterface/…:773 delete(b::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1819 delete(model::HiGH… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:2106 Highs_deleteRowsB… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @HiGHS/…r.jl:1821 delete(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @Base/…ct.jl:66 iterate(::Base.Valu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @MathOptInterface/…:264 iterate(c:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @OrderedCollections/…:455 iterate… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 @OrderedCollections/…:126 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:142 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ay.jl:627 zeros(::Core.T… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ay.jl:632 zeros(::Core.T… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ay.jl:364 fill!(A::Vecto… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ay.jl:369 _fill!(A::Vect… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ge.jl:940 iterate(r::Bas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:152 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ay.jl:411 similar(a::Vec… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ot.jl:742 Vector{HiGHS._… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ot.jl:682 Memory{HiGHS._… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @OrderedCollections/…:153 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 @Base/…ay.jl:411 similar(a::Vec… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 2 @Base/…ot.jl:742 Vector{HiGHS._… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 2 @Base/…ot.jl:682 Memory{HiGHS._… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:156 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:1039 getindex(A::V… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ls.jl:391 checkbounds(A:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @OrderedCollections/…:157 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 @Base/…ng.jl:40 hash(data::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 2 @Base/…ng.jl:47 hash(data::HiGH… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 2 @Base/…ls.jl:919 objectid(x::Hi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:163 rehas… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:1040 getindex(A::V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:164 rehas… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…on.jl:516 ==(x::Int32, y… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…on.jl:666 ==(x::Int64, y… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:181 rehas… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:1040 getindex(A::V… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1825 delete(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:66 iterate(v::Base.Val… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:279 iterate(c:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:461 iterate… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:1040 getindex(A::Ve… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:722 delete(m::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:227 delete(uf::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:219 _delete(uf::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:572 delete(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:89 delete(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:89 delete(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:94 delete(v:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:115 throw_i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @MathOptInterface/…:87 is_valid… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @MathOptInterface/…:148 haskey(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @OrderedCollections/…:400 haske… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @OrderedCollections/…:244 ht_ke… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @OrderedCollections/…:6 hashind… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Base/…ng.jl:40 hash(data::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Base/…ng.jl:47 hash(data::Math… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Base/…ls.jl:919 objectid(x::Ma… ╎ ╎ ╎ ╎ ╎ 70 @SDDP/…ithm.jl:980 iteration(model::SDDP.Policy… ╎ ╎ ╎ ╎ ╎ 70 @SDDP/…ithm.jl:881 kwcall(::@NamedTuple{risk_m… ╎ ╎ ╎ ╎ ╎ ╎ 70 @SDDP/…thm.jl:881 kwcall(::@NamedTuple{risk_m… ╎ ╎ ╎ ╎ ╎ ╎ 70 @SDDP/…thm.jl:921 calculate_bound(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ 69 @SDDP/…hm.jl:492 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:505 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:300 parameterize(node::SDDP.… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:212 set_objective(node::SDD… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ce.jl:1391 get_objective_state_c… ╎ ╎ ╎ ╎ ╎ ╎ 66 @SDDP/…hm.jl:518 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 66 @JuMP/…ce.jl:560 optimize!(model::Model) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 66 @JuMP/…ce.jl:610 optimize!(model::Model;… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 66 @MathOptInterface/…:379 optimize!(m::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 66 @MathOptInterface/…:367 optimize!(b::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 66 @HiGHS/…r.jl:2300 optimize!(model::Hi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 66 @Base/c.jl:153 disable_sigint(f::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 66 @HiGHS/…r.jl:2300 (::HiGHS.var"#47#… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 66 @HiGHS/…r.jl:2253 _Highs_run_worka… 66╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 66 @HiGHS/…s.jl:328 Highs_run(highs:… ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…hm.jl:533 solve_subproblem(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:191 get_outgoing_state(node:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:2091 value(v::VariableRef) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:2092 value(v::VariableRef;… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1240 get(model::Model, at… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1200 _moi_get_result(::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:940 get(model::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:869 kwcall(::@N… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:878 _throw_if_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:1202 isempty(itr::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:105 iterate(… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rs.jl:1329 iterate(fl::B… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:204 get_outgoing_state(node:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:358 setindex!(h::Dict{Symbo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:270 ht_keyindex2_shorthash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:148 rehash!(h::Dict{Symbo… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:682 Memory{UInt8}(::Unde… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…er.jl:58 getproperty(x::SDDP.Noise, … 4.039829e+00 7.294418e+00 6750 1 60 5.250000e+00 4.038893e+00 1.281614e+01 8100 1 70 4.525000e+00 4.038792e+00 1.510372e+01 9450 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:532:34 wait at ./task.jl:1285:0 (pc: 111) wait_forever at ./task.jl:1185:0 (pc: 4) jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] start_task at /source/src/task.c:1242:19 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007634fa4f11e0 Total snapshots: 397. Utilization: 0% ╎397 @Base/task.jl:1185 wait_forever() 396╎ 397 @Base/task.jl:1285 wait() 80 4.700000e+00 4.038499e+00 1.963935e+01 10800 1 82 3.568750e+00 4.038493e+00 2.017444e+01 11070 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.017444e+01 total solves : 11070 best bound : 4.038493e+00 simulation ci : 4.159299e+00 ± 1.573797e-01 numeric issues : 0 ------------------------------------------------------------------- [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:532:34 wait at ./task.jl:1285:0 (pc: 111) [90] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:82 _ZN17HighsSparseMatrix6updateEiiRKS_ at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN4HEkk12updateMatrixEii at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual12updatePivotsEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual7iterateEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual11solvePhase2Ev at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN8HEkkDual5solveEb at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN4HEkk5solveEb at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZZ7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEENKUlvE_clEv.lto_priv.5818 at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _Z7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs11callSolveLpER7HighsLpNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZZN5Highs19calledOptimizeModelEvENKUlR7HighsLpRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERdE_clES1_S9_SA_.isra.508 at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs19calledOptimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/57846bf52e8d91e2d6dfef3b0e474315208dc524/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/gen/libhighs.jl:328:0 [inlined] _Highs_run_workaround_issue_316 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2253:0 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 [inlined] disable_sigint at ./c.jl:153:0 (pc: 4) optimize! at /home/pkgeval/.julia/packages/HiGHS/p35Je/src/MOI_wrapper.jl:2300:0 (pc: 249) optimize! at /home/pkgeval/.julia/packages/MathOptInterface/CnW3S/src/Bridges/bridge_optimizer.jl:367:0 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/CnW3S/src/Utilities/cachingoptimizer.jl:379:0 (pc: 139) unknown function (ip: 0x745bb0ddb2a2) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:610:0 (pc: 345) optimize! at /home/pkgeval/.julia/packages/JuMP/EHXNP/src/optimizer_interface.jl:560:0 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:518:0 (pc: 53) solve_subproblem at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:492:0 (pc: 7) unknown function (ip: 0x745b8a3fd7e7) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1383:0 (pc: 510) _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1335:0 [inlined] #227 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:72:0 [inlined] iterate at ./generator.jl:49:0 [inlined] collect_to! at ./array.jl:914:0 [inlined] collect_to_with_first! at ./array.jl:869:0 [inlined] _collect at ./array.jl:863:0 (pc: 88) collect_similar at ./array.jl:768:0 [inlined] map at ./abstractarray.jl:3468:0 [inlined] #_simulate#225 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:71:0 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/plugins/parallel_schemes.jl:63:0 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1552:0 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:0 (pc: 29) simulate at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1541:0 [inlined] #newsvendor_example#210 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:74:0 (pc: 53) newsvendor_example at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/objective_state_newsvendor.jl:35:0 (pc: 5) unknown function (ip: 0x745b8a3efa32) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) include_string at ./loading.jl:3186:0 (pc: 208) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 _include at ./loading.jl:3248:0 (pc: 123) include at ./Base.jl:326:0 (pc: 1) IncludeInto at ./Base.jl:327:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:0 (pc: 599) util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:0 (pc: 4) unknown function (ip: 0x745bb0dc97d2) at (unknown file) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 eval_body at /source/src/interpreter.c:617:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) include_string at ./loading.jl:3186:0 (pc: 208) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 _include at ./loading.jl:3248:0 (pc: 123) include at ./Base.jl:326:0 (pc: 1) IncludeInto at ./Base.jl:327:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 426) _start at ./client.jl:596:0 (pc: 295) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] true_main at /source/src/jlapi.c:989:29 jl_repl_entrypoint at /source/src/jlapi.c:1156:15 main at /source/cli/loader_exe.c:103:15 unknown function (ip: 0x745c1048e249) 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: 498750749 (Pool: 498747000; Big: 3749); GC: 127 #wait#403 at ./condition.jl:141:0 (pc: 29) wait at ./condition.jl:136:0 [inlined] _trywait at ./asyncevent.jl:186:0 (pc: 35) profile_printing_listener at ./Base.jl:357:0 (pc: 4) #start_profile_listener##0 at ./Base.jl:377:0 (pc: 2) jfptr_YY.start_profile_listenerYY.YY.0_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4531:23 [inlined] ijl_apply_generic at /source/src/gf.c:4773:12 jl_apply at /source/src/julia.h:2498:12 [inlined] start_task at /source/src/task.c:1242:19 unknown function (ip: (nil)) at (unknown file) Allocations: 23274284 (Pool: 23273482; Big: 802); GC: 16 PkgEval terminated after 2727.8s: test duration exceeded the time limit