Package evaluation to test SDDP on Julia 1.11.7 (58327cce5e*) started at 2025-10-28T23:30:35.242 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.52s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [f4570300] + SDDP v1.13.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.3 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.19.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.2.2 [cd3eb016] + HTTP v1.10.19 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.29.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.46.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.7 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [458c3c95] + OpenSSL_jll v3.5.4+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 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+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 5.42s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 46.62s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_IGN20S/Project.toml` [87dc4568] HiGHS v1.20.0 [b6b21f68] Ipopt v1.12.1 ⌅ [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.1 [f4570300] SDDP v1.13.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [44cfe95a] Pkg v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_IGN20S/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.3 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.1 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Testing Running tests... [ Info: Experimental.jl Precompiling HiGHS... 5646.4 ms ✓ MathOptIIS 35755.7 ms ✓ HiGHS 2 dependencies successfully precompiled in 43 seconds. 53 already precompiled. [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.4 plus 10.36 for vertex selection. Node: 2 - elapsed time: 0.31 plus 0.29 for vertex selection. Node: 1 - elapsed time: 0.31 plus 0.28 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 11.958003315 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.37 plus 0.33 for vertex selection. Node: 18 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 17 - elapsed time: 0.48 plus 0.33 for vertex selection. Node: 16 - elapsed time: 0.48 plus 0.33 for vertex selection. Node: 15 - elapsed time: 0.47 plus 0.33 for vertex selection. Node: 14 - elapsed time: 0.46 plus 0.33 for vertex selection. Node: 13 - elapsed time: 0.46 plus 0.32 for vertex selection. Node: 12 - elapsed time: 0.45 plus 0.32 for vertex selection. Node: 11 - elapsed time: 0.45 plus 0.33 for vertex selection. Node: 10 - elapsed time: 0.46 plus 0.34 for vertex selection. Node: 9 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 8 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 7 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 6 - elapsed time: 0.47 plus 0.34 for vertex selection. Node: 5 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 4 - elapsed time: 0.46 plus 0.32 for vertex selection. Node: 3 - elapsed time: 0.46 plus 0.33 for vertex selection. Node: 2 - elapsed time: 0.46 plus 0.33 for vertex selection. Node: 1 - elapsed time: 0.78 plus 0.33 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:401 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 5.809870e-01 4 1 3 0.000000e+00 0.000000e+00 1.061846e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.061846e+00 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 6.779740e-01 9 1 20 7.500000e+04 1.075000e+05 1.313042e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.313042e+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/39RYL/src/algorithm.jl:1181 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.935083e+00 12 1 10 2.500000e+00 3.361111e+01 1.960750e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.960750e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 6.432800e-01 12 1 10 2.500000e+00 3.361111e+01 6.755230e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.755230e-01 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.141922e-03 46 1 50 0.000000e+00 1.191663e+02 4.074750e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.074750e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 9.785891e-03 46 1 50 0.000000e+00 1.191663e+02 4.308231e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.308231e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl Precompiling Ipopt... 1513.7 ms ✓ Ipopt 1 dependency successfully precompiled in 2 seconds. 37 already precompiled. Precompiling IpoptMathOptInterfaceExt... 56581.0 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 58 seconds. 75 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 5.131406e+00 103 1 3S -5.785826e+01 -6.755367e+01 7.885678e+00 309 1 4S -6.230988e+01 -6.688020e+01 8.931038e+00 412 1 9S -6.068139e+01 -6.677644e+01 1.448641e+01 927 1 19S -4.168889e+01 -6.677644e+01 2.029092e+01 1957 1 29S -4.168889e+01 -6.677644e+01 2.610072e+01 2987 1 39S -6.468889e+01 -6.677644e+01 3.188975e+01 4017 1 49S -6.068889e+01 -6.677644e+01 3.766965e+01 5047 1 59S -3.268889e+01 -6.677644e+01 4.342841e+01 6077 1 69S -6.468889e+01 -6.677644e+01 4.924297e+01 7107 1 79S -4.168889e+01 -6.677644e+01 5.504248e+01 8137 1 89S -5.568889e+01 -6.677644e+01 6.093089e+01 9167 1 99S -8.368889e+01 -6.677644e+01 6.672089e+01 10197 1 100 -8.368889e+01 -6.677644e+01 6.674123e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.674123e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 1.559973e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.559973e-03 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl From worker 2: Precompiling SDDP... From worker 3: Precompiling SDDP... From worker 5: Precompiling SDDP... From worker 4: Precompiling SDDP... From worker 4: HTTP Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/HTTP/zXWya_eJM3J.ji.pidfile) From worker 3: HTTP Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/HTTP/zXWya_eJM3J.ji.pidfile) From worker 5: HTTP Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/HTTP/zXWya_eJM3J.ji.pidfile) From worker 2: 30604.0 ms ✓ HTTP From worker 5: 30690.2 ms ✓ HTTP From worker 5: SDDP Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 3: 30863.2 ms ✓ HTTP From worker 3: SDDP Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 4: 31028.9 ms ✓ HTTP From worker 4: SDDP Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 2: 24489.5 ms ✓ SDDP From worker 2: 2 dependencies successfully precompiled in 62 seconds. 68 already precompiled. From worker 5: 24668.9 ms ✓ SDDP From worker 5: 2 dependencies successfully precompiled in 62 seconds. 68 already precompiled. From worker 3: 25105.2 ms ✓ SDDP From worker 3: 2 dependencies successfully precompiled in 63 seconds. 68 already precompiled. From worker 4: 25721.2 ms ✓ SDDP From worker 4: 2 dependencies successfully precompiled in 64 seconds. 68 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.000000e+00 6.000000e+00 3.392744e+02 2 4 20 7.000000e+00 6.000000e+00 3.453711e+02 40 4 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.453711e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.000000e+00 ± 9.644022e-01 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 6.156449e-01 48 1 parallel_schemes.jl: Error During Test at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:13 Got exception outside of a @test LoadError: On worker 2: The index MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.GreaterThan{Float64}}(157) is invalid. Note that an index becomes invalid after it has been deleted. Stacktrace: [1] trap_error @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:203 [3] #invokelatest#2 @ ./essentials.jl:1055 [4] invokelatest @ ./essentials.jl:1052 [5] #115 @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/process_messages.jl:283 [6] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/process_messages.jl:70 [7] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/process_messages.jl:79 [8] #108 @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/process_messages.jl:88 Stacktrace: [1] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::Nothing, log_every_seconds::Float64, log_every_iteration::Bool, run_numerical_stability_report::Bool, stopping_rules::Vector{SDDP.IterationLimit}, risk_measure::SDDP.Expectation, root_node_risk_measure::SDDP.Expectation, sampling_scheme::SDDP.InSampleMonteCarlo, cut_type::SDDP.CutType, cycle_discretization_delta::Float64, refine_at_similar_nodes::Bool, cut_deletion_minimum::Int64, backward_sampling_scheme::SDDP.CompleteSampler, dashboard::Bool, parallel_scheme::SDDP.Asynchronous, forward_pass::SDDP.DefaultForwardPass, forward_pass_resampling_probability::Nothing, add_to_existing_cuts::Bool, duality_handler::SDDP.ContinuousConicDuality{Nothing}, forward_pass_callback::SDDP.var"#117#125", post_iteration_callback::SDDP.var"#118#126") @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1306 [2] train @ ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] [3] test_async_solve() @ Main ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:176 [4] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 [5] include @ ./sysimg.jl:38 [inlined] [6] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] [8] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/39RYL/test/runtests.jl:14 [9] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] [11] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [12] include(fname::String) @ Main ./sysimg.jl:38 [13] top-level scope @ none:6 in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 caused by: On worker 2: The index MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.GreaterThan{Float64}}(157) is invalid. Note that an index becomes invalid after it has been deleted. Stacktrace: [1] trap_error @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:203 [3] #invokelatest#2 @ ./essentials.jl:1055 [4] invokelatest @ ./essentials.jl:1052 [5] #115 @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/process_messages.jl:283 [6] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/process_messages.jl:70 [7] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/process_messages.jl:79 [8] #108 @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/process_messages.jl:88 Stacktrace: [1] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.11/Distributed/src/remotecall.jl:465 [2] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}) @ Distributed /opt/julia/share/julia/stdlib/v1.11/Distributed/src/remotecall.jl:454 [3] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/remotecall.jl:492 [inlined] [4] call_on_owner @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/remotecall.jl:565 [inlined] [5] wait @ /opt/julia/share/julia/stdlib/v1.11/Distributed/src/remotecall.jl:586 [inlined] [6] _broadcast_getindex_evalf @ ./broadcast.jl:678 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:651 [inlined] [8] getindex @ ./broadcast.jl:610 [inlined] [9] macro expansion @ ./broadcast.jl:973 [inlined] [10] macro expansion @ ./simdloop.jl:77 [inlined] [11] copyto! @ ./broadcast.jl:972 [inlined] [12] copyto! @ ./broadcast.jl:925 [inlined] [13] copy @ ./broadcast.jl:897 [inlined] [14] materialize @ ./broadcast.jl:872 [inlined] [15] master_loop(async::SDDP.Asynchronous, model::SDDP.PolicyGraph{Int64}, options::SDDP.Options{Int64}) @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:265 [16] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::Nothing, log_every_seconds::Float64, log_every_iteration::Bool, run_numerical_stability_report::Bool, stopping_rules::Vector{SDDP.IterationLimit}, risk_measure::SDDP.Expectation, root_node_risk_measure::SDDP.Expectation, sampling_scheme::SDDP.InSampleMonteCarlo, cut_type::SDDP.CutType, cycle_discretization_delta::Float64, refine_at_similar_nodes::Bool, cut_deletion_minimum::Int64, backward_sampling_scheme::SDDP.CompleteSampler, dashboard::Bool, parallel_scheme::SDDP.Asynchronous, forward_pass::SDDP.DefaultForwardPass, forward_pass_resampling_probability::Nothing, add_to_existing_cuts::Bool, duality_handler::SDDP.ContinuousConicDuality{Nothing}, forward_pass_callback::SDDP.var"#117#125", post_iteration_callback::SDDP.var"#118#126") @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 [17] train @ ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] [18] test_async_solve() @ Main ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:176 [19] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 [20] include @ ./sysimg.jl:38 [inlined] [21] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] [23] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/39RYL/test/runtests.jl:14 [24] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [inlined] [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] [26] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [27] include(fname::String) @ Main ./sysimg.jl:38 [28] top-level scope @ none:6 [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.924370e-01 4 1 50 0.000000e+00 0.000000e+00 4.974411e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 4.974411e-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/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl Precompiling Plots... 4093.8 ms ✓ StatsBase 8275.4 ms ✓ RecipesPipeline 1361.8 ms ✓ libdecor_jll 1385.7 ms ✓ Qt6Base_jll 1324.5 ms ✓ GLFW_jll 1688.0 ms ✓ Qt6ShaderTools_jll 3372.3 ms ✓ GR_jll 1475.5 ms ✓ Qt6Declarative_jll 1390.9 ms ✓ Qt6Wayland_jll 5743.6 ms ✓ GR 120114.8 ms ✓ Plots 11 dependencies successfully precompiled in 152 seconds. 164 already precompiled. Precompiling SpecialFunctionsExt... 2366.1 ms ✓ ColorVectorSpace → SpecialFunctionsExt 1 dependency successfully precompiled in 3 seconds. 20 already precompiled. From worker 5: Precompiling Plots... From worker 4: Precompiling Plots... From worker 3: Precompiling Plots... From worker 2: Precompiling Plots... From worker 5: StatsBase Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 4: StatsBase Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 3: StatsBase Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 3: ColorSchemes Being precompiled by another process (pid: 37338, pidfile: /home/pkgeval/.julia/compiled/v1.11/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 5: ColorSchemes Being precompiled by another process (pid: 37338, pidfile: /home/pkgeval/.julia/compiled/v1.11/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 5: Latexify Being precompiled by another process (pid: 37337, pidfile: /home/pkgeval/.julia/compiled/v1.11/Latexify/AItXo_eJM3J.ji.pidfile) From worker 2: 12877.6 ms ✓ StatsBase From worker 2: ColorSchemes Being precompiled by another process (pid: 37338, pidfile: /home/pkgeval/.julia/compiled/v1.11/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 5: 13554.4 ms ✓ StatsBase From worker 2: Latexify Being precompiled by another process (pid: 37337, pidfile: /home/pkgeval/.julia/compiled/v1.11/Latexify/AItXo_eJM3J.ji.pidfile) From worker 3: 17630.1 ms ✓ Latexify From worker 3: 20063.9 ms ✓ StatsBase From worker 5: 17510.1 ms ✓ Latexify From worker 5: SparseArraysExt Being precompiled by another process (pid: 37337, pidfile: /home/pkgeval/.julia/compiled/v1.11/SparseArraysExt/h5qXK_eJM3J.ji.pidfile) From worker 2: 5850.4 ms ✓ Latexify From worker 2: SparseArraysExt Being precompiled by another process (pid: 37337, pidfile: /home/pkgeval/.julia/compiled/v1.11/SparseArraysExt/h5qXK_eJM3J.ji.pidfile) From worker 4: 21792.3 ms ✓ ColorSchemes From worker 5: 22825.9 ms ✓ ColorSchemes From worker 3: 5821.2 ms ✓ Latexify → SparseArraysExt From worker 3: 24409.4 ms ✓ ColorSchemes From worker 3: PlotUtils Being precompiled by another process (pid: 37339, pidfile: /home/pkgeval/.julia/compiled/v1.11/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 2: 13905.3 ms ✓ ColorSchemes From worker 2: 6254.8 ms ✓ Latexify → SparseArraysExt From worker 2: PlotUtils Being precompiled by another process (pid: 37339, pidfile: /home/pkgeval/.julia/compiled/v1.11/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 4: 13748.0 ms ✓ Latexify From worker 4: 37051.1 ms ✓ StatsBase From worker 4: PlotUtils Being precompiled by another process (pid: 37339, pidfile: /home/pkgeval/.julia/compiled/v1.11/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 4: 4280.7 ms ✓ Latexify → SparseArraysExt From worker 5: 27686.1 ms ✓ PlotUtils From worker 5: 32045.0 ms ✓ Latexify → SparseArraysExt From worker 4: 15636.9 ms ✓ PlotUtils From worker 4: PlotThemes Being precompiled by another process (pid: 37339, pidfile: /home/pkgeval/.julia/compiled/v1.11/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 3: 27287.6 ms ✓ PlotUtils From worker 3: PlotThemes Being precompiled by another process (pid: 37339, pidfile: /home/pkgeval/.julia/compiled/v1.11/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 3: RecipesPipeline Being precompiled by another process (pid: 37338, pidfile: /home/pkgeval/.julia/compiled/v1.11/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 2: 27050.6 ms ✓ PlotUtils From worker 2: PlotThemes Being precompiled by another process (pid: 37339, pidfile: /home/pkgeval/.julia/compiled/v1.11/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 2: RecipesPipeline Being precompiled by another process (pid: 37338, pidfile: /home/pkgeval/.julia/compiled/v1.11/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 4: 18898.5 ms ✓ RecipesPipeline From worker 2: 18152.7 ms ✓ RecipesPipeline From worker 3: 19159.6 ms ✓ RecipesPipeline From worker 5: 20453.4 ms ✓ PlotThemes From worker 2: 19269.7 ms ✓ PlotThemes From worker 3: 20493.7 ms ✓ PlotThemes From worker 3: Plots Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/Plots/ld3vC_eJM3J.ji.pidfile) From worker 4: 21880.0 ms ✓ PlotThemes From worker 4: Plots Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/Plots/ld3vC_eJM3J.ji.pidfile) From worker 5: 17817.1 ms ✓ RecipesPipeline From worker 5: Plots Being precompiled by another process (pid: 37333, pidfile: /home/pkgeval/.julia/compiled/v1.11/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: 104826.8 ms ✓ Plots From worker 2: 8 dependencies successfully precompiled in 187 seconds. 167 already precompiled. From worker 3: 225724.1 ms ✓ Plots From worker 3: 8 dependencies successfully precompiled in 309 seconds. 167 already precompiled. From worker 5: 211085.0 ms ✓ Plots From worker 5: 8 dependencies successfully precompiled in 311 seconds. 167 already precompiled. From worker 4: 229837.4 ms ✓ Plots From worker 4: 8 dependencies successfully precompiled in 314 seconds. 167 already precompiled. From worker 3: Precompiling SpecialFunctionsExt... From worker 5: Precompiling SpecialFunctionsExt... From worker 5: SpecialFunctionsExt Being precompiled by another process (pid: 37337, pidfile: /home/pkgeval/.julia/compiled/v1.11/SpecialFunctionsExt/SsZkK_eJM3J.ji.pidfile) From worker 3: 6392.7 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 3: 1 dependency successfully precompiled in 7 seconds. 20 already precompiled. From worker 5: 2495.4 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 5: 1 dependency successfully precompiled in 3 seconds. 20 already precompiled. ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:51 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 4.006629e-01 5 1 20 0.000000e+00 -1.000000e+01 6.075389e-01 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.075389e-01 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 6.535211e-01 52 1 10 -2.396000e+01 -2.396000e+01 6.619911e-01 92 1 15 -4.260000e+01 -2.396000e+01 6.703820e-01 132 1 20 -2.396000e+01 -2.396000e+01 6.791930e-01 172 1 25 -5.320000e+00 -2.396000e+01 6.918471e-01 224 1 30 -5.320000e+00 -2.396000e+01 7.037880e-01 264 1 35 -2.396000e+01 -2.396000e+01 7.171869e-01 304 1 40 -2.396000e+01 -2.396000e+01 7.306790e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.306790e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 5.65s / 11.3% 11.1MiB / 61.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 579ms 90.7% 14.5ms 657KiB 9.5% 16.4KiB solve_subproblem 120 577ms 90.3% 4.81ms 481KiB 6.9% 4.01KiB get_dual_solution 120 82.6μs 0.0% 689ns 13.1KiB 0.2% 112B sample_scenario 40 485μs 0.1% 12.1μs 24.2KiB 0.3% 620B backward_pass 40 50.0ms 7.8% 1.25ms 5.94MiB 87.7% 152KiB solve_subproblem 160 24.1ms 3.8% 151μs 733KiB 10.6% 4.58KiB get_dual_solution 160 1.30ms 0.2% 8.12μs 190KiB 2.7% 1.19KiB prepare_backward_pass 160 107μs 0.0% 671ns 0.00B 0.0% 0.00B calculate_bound 40 9.60ms 1.5% 240μs 189KiB 2.7% 4.72KiB get_dual_solution 40 42.6μs 0.0% 1.06μs 4.38KiB 0.1% 112B get_dual_solution 36 28.4μs 0.0% 789ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 5.601561e-01 52 1 10 -2.396000e+01 -2.396000e+01 5.694551e-01 92 1 15 -2.396000e+01 -2.396000e+01 5.808799e-01 132 1 20 -4.260000e+01 -2.396000e+01 5.934260e-01 172 1 25 -5.320000e+00 -2.396000e+01 6.124561e-01 224 1 30 -2.396000e+01 -2.396000e+01 6.313891e-01 264 1 35 -2.396000e+01 -2.396000e+01 6.495111e-01 304 1 40 -5.320000e+00 -2.396000e+01 6.712010e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.712010e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 696ms / 94.1% 13.3MiB / 93.4% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── forward_pass 40 401ms 61.3% 10.0ms 657KiB 5.2% 16.4KiB solve_subproblem 120 398ms 60.8% 3.32ms 481KiB 3.8% 4.01KiB get_dual_solution 120 66.6μs 0.0% 555ns 13.1KiB 0.1% 112B sample_scenario 40 546μs 0.1% 13.7μs 24.3KiB 0.2% 623B calculate_bound 40 161ms 24.6% 4.04ms 191KiB 1.5% 4.76KiB get_dual_solution 40 36.5μs 0.0% 912ns 4.38KiB 0.0% 112B backward_pass 40 92.1ms 14.1% 2.30ms 11.6MiB 93.3% 296KiB solve_subproblem 160 37.6ms 5.7% 235μs 735KiB 5.8% 4.59KiB get_dual_solution 160 1.58ms 0.2% 9.90μs 190KiB 1.5% 1.19KiB prepare_backward_pass 160 147μs 0.0% 921ns 0.00B 0.0% 0.00B get_dual_solution 36 18.0μs 0.0% 501ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 3.943388e-01 5 1 2 -2.500000e+00 -2.000000e+00 4.674909e-01 14 1 3 -1.000000e+00 -2.000000e+00 4.684789e-01 19 1 4 -1.000000e+00 -2.000000e+00 4.691808e-01 24 1 5 -1.000000e+00 -2.000000e+00 4.698329e-01 29 1 6 -3.000000e+00 -2.000000e+00 4.738789e-01 34 1 7 -1.000000e+00 -2.000000e+00 4.746370e-01 39 1 8 -1.000000e+00 -2.000000e+00 4.753370e-01 44 1 9 -3.000000e+00 -2.000000e+00 4.760380e-01 49 1 10 -1.000000e+00 -2.000000e+00 4.767420e-01 54 1 11 -3.000000e+00 -2.000000e+00 4.774680e-01 59 1 12 -3.000000e+00 -2.000000e+00 4.782259e-01 64 1 13 -1.000000e+00 -2.000000e+00 4.789639e-01 69 1 14 -1.000000e+00 -2.000000e+00 4.797280e-01 74 1 15 -3.000000e+00 -2.000000e+00 3.883607e+00 79 1 16 -1.000000e+00 -2.000000e+00 3.884673e+00 84 1 17 -3.000000e+00 -2.000000e+00 3.885664e+00 89 1 18 -3.000000e+00 -2.000000e+00 3.886668e+00 94 1 19 -1.000000e+00 -2.000000e+00 3.887683e+00 99 1 20 -3.000000e+00 -2.000000e+00 3.888722e+00 104 1 21 -1.000000e+00 -2.000000e+00 3.890493e+00 113 1 22 -1.000000e+00 -2.000000e+00 3.891582e+00 118 1 23 -3.000000e+00 -2.000000e+00 3.892613e+00 123 1 24 -3.000000e+00 -2.000000e+00 3.898239e+00 128 1 25 -1.000000e+00 -2.000000e+00 3.899751e+00 133 1 26 -3.000000e+00 -2.000000e+00 3.900954e+00 138 1 27 -3.000000e+00 -2.000000e+00 3.902160e+00 143 1 28 -1.000000e+00 -2.000000e+00 3.903328e+00 148 1 29 -3.000000e+00 -2.000000e+00 3.904531e+00 153 1 30 -3.000000e+00 -2.000000e+00 3.905702e+00 158 1 31 -1.000000e+00 -2.000000e+00 3.906908e+00 163 1 32 -1.000000e+00 -2.000000e+00 3.908233e+00 168 1 33 -1.000000e+00 -2.000000e+00 3.909533e+00 173 1 34 -3.000000e+00 -2.000000e+00 3.910770e+00 178 1 35 -1.000000e+00 -2.000000e+00 3.913142e+00 183 1 36 -3.000000e+00 -2.000000e+00 3.914425e+00 188 1 37 -1.000000e+00 -2.000000e+00 3.915704e+00 193 1 38 -1.000000e+00 -2.000000e+00 3.917005e+00 198 1 39 -1.000000e+00 -2.000000e+00 3.918502e+00 203 1 40 -1.000000e+00 -2.000000e+00 3.920216e+00 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.920216e+00 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 7.359900e-01 51 1 29 5.650894e+02 2.314032e+02 1.847651e+00 5475 1 36 5.572874e+02 2.348274e+02 2.992468e+00 9420 1 42 8.695951e+02 2.357672e+02 4.198336e+00 11586 1 58 4.114170e+01 2.360915e+02 5.207145e+00 13734 1 63 1.493193e+03 2.362190e+02 6.592192e+00 15909 1 72 1.044387e+02 2.362973e+02 7.612212e+00 17364 1 76 3.050305e+02 2.363467e+02 8.865277e+00 18936 1 100 4.969839e+02 2.364135e+02 1.331640e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.331640e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 1.819899e+00 1400 1 20 -4.764789e+00 -4.394789e+00 2.082079e+00 2800 1 30 -4.672487e+00 -4.377000e+00 2.371701e+00 4200 1 40 -4.483495e+00 -4.370632e+00 2.665247e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.965602e+00 7000 1 60 -4.362455e+00 -4.358864e+00 3.288819e+00 8400 1 70 -4.849916e+00 -4.355337e+00 3.585323e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.893837e+00 11200 1 90 -4.268264e+00 -4.350407e+00 4.215786e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.537356e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.537356e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 1.037401e+00 1050 1 20 -1.529197e+00 -1.471817e+00 1.110751e+00 1600 1 30 -1.410768e+00 -1.471408e+00 1.275929e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.356536e+00 3200 1 50 -1.002277e+00 -1.471216e+00 1.520200e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.605653e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.791320e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.897164e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.130897e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.243750e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.340644e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.445447e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.553868e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.679113e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.804063e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.935241e+00 11300 1 170 -1.631076e+00 -1.471075e+00 3.069159e+00 11850 1 180 -1.494909e+00 -1.471075e+00 3.205659e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.230441e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.230441e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 4.339700e-01 54 1 20 3.336455e+05 3.402383e+05 4.485941e-01 104 1 30 3.993519e+05 3.403155e+05 4.622829e-01 158 1 40 3.337559e+05 3.403155e+05 4.751570e-01 208 1 48 3.337559e+05 3.403155e+05 4.867420e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.867420e-01 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 5.939291e-01 92 1 20 4.506600e+05 4.054833e+05 6.166420e-01 172 1 30 3.959476e+05 4.067125e+05 6.394000e-01 264 1 40 4.497721e+05 4.067125e+05 6.626441e-01 344 1 47 3.959476e+05 4.067125e+05 6.802790e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.802790e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 1.398404e+00 14 1 40 2.308500e+03 4.074139e+03 1.838012e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.838012e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 1.836160e+00 8 1 5L 4.000000e+04 6.250000e+04 2.971781e+00 52 1 11L 4.000000e+04 6.250000e+04 4.076792e+00 100 1 17L 4.000000e+04 6.250000e+04 5.161738e+00 148 1 20L 6.000000e+04 6.250000e+04 5.829283e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.829283e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 5.443640e-01 8 1 15 5.500000e+04 6.250000e+04 1.621291e+00 132 1 20 4.000000e+04 6.250000e+04 1.981252e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.981252e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 9.901681e-01 5 1 10 4.000000e+04 6.250000e+04 1.568404e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.568404e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 6.216309e-01 6 1 20L 9.000000e+00 9.000000e+00 7.543550e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.543550e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 2.633300e+00 87 1 10 -1.109375e+01 2.605769e-01 2.646213e+00 142 1 15 3.105797e+00 5.434132e-01 2.659779e+00 197 1 20 -2.463349e+01 1.503415e+00 2.675382e+00 252 1 25 -1.421085e-14 1.514085e+00 2.689620e+00 307 1 30 4.864000e+01 1.514085e+00 4.078285e+00 394 1 35 4.864000e+01 1.514085e+00 4.092395e+00 449 1 40 -8.870299e+00 1.514085e+00 4.108165e+00 504 1 45 -1.428571e+00 1.514085e+00 4.124653e+00 559 1 48 -1.428571e+00 1.514085e+00 4.136510e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.136510e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #160 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 2.313408e+00 278 1 20 1.440356e+01 1.278425e+00 2.338936e+00 428 1 30 8.388546e+00 1.278425e+00 2.382944e+00 706 1 40 6.666667e-03 1.278410e+00 2.410018e+00 856 1 50 -5.614035e+00 1.278410e+00 2.454699e+00 1134 1 60 1.426676e+01 1.278410e+00 2.489443e+00 1284 1 64 1.261296e+01 1.278410e+00 2.503821e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.503821e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #160 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 1.650573e+00 278 1 20 1.111084e+01 1.278410e+00 1.699562e+00 428 1 30 2.293779e+01 1.278410e+00 1.780951e+00 706 1 40 1.426676e+01 1.278410e+00 1.857788e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.857788e+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, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 2.758648e+00 900 1 20 6.374753e+00 1.361934e+01 3.131371e+00 1720 1 30 2.848217e+01 1.624016e+01 4.057587e+00 3036 1 40 1.973944e+01 1.776547e+01 5.053057e+00 4192 1 50 4.000000e+00 1.889360e+01 5.846531e+00 5020 1 60 1.142478e+01 1.907862e+01 6.791065e+00 5808 1 70 9.386421e+00 1.961295e+01 7.747534e+00 6540 1 80 5.667851e+01 1.890911e+01 8.485628e+00 7088 1 90 3.740597e+01 1.993139e+01 1.011838e+01 8180 1 100 9.867183e+00 2.001688e+01 1.085755e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.085755e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 5.646050e-01 36 1 10 0.000000e+00 0.000000e+00 6.141200e-01 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.141200e-01 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 7.453918e-03 407 1 10 2.850000e+02 5.728212e+02 7.306194e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.306194e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 7.282019e-03 778 1 10 2.825000e+02 3.465177e+02 7.753801e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.753801e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 8.083105e-03 1149 1 10 2.587500e+02 2.052799e+02 7.559109e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.559109e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 8.785963e-03 1520 1 10 2.875000e+02 4.661908e+02 8.105803e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.105803e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 8.013010e-03 1891 1 10 1.000000e+02 1.129771e+02 7.492614e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.492614e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 8.337021e-03 2262 1 10 1.625000e+02 2.794553e+02 8.287001e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.287001e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 8.763075e-03 2633 1 10 5.487500e+02 4.077574e+02 8.617496e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.617496e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 1.020217e-02 3004 1 10 6.771875e+02 5.210100e+02 8.945918e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.945918e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.572102e-03 3375 1 10 5.312500e+01 5.938345e+01 7.717919e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.717919e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 2.298173e+00 235 1 10 1.000000e+01 9.159200e+00 2.803621e+00 310 1 15 1.000000e+01 9.159200e+00 3.356607e+00 385 1 20 1.000000e+01 9.159200e+00 3.884627e+00 460 1 25 1.000000e+01 9.159200e+00 6.754651e+00 695 1 30 4.000000e+00 9.159200e+00 7.249650e+00 770 1 35 1.000000e+01 9.159200e+00 7.748681e+00 845 1 40 1.000000e+01 9.159200e+00 8.306169e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.306169e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.EqualTo{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 2.066379e+00 510 1 20 1.000000e+01 6.834387e+00 3.772377e+00 720 1 30 7.000000e+00 6.834387e+00 7.712372e+00 1230 1 40 1.000000e+01 6.823805e+00 9.402029e+00 1440 1 50 3.000000e+00 6.823805e+00 1.361687e+01 1950 1 60 2.000000e+00 6.823805e+00 1.536896e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.536896e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.049381e+01 920 1 20 6.049875e+06 2.075240e+06 1.273921e+01 1340 1 30 5.496647e+05 2.078257e+06 2.113623e+01 2260 1 40 3.985383e+04 2.078257e+06 2.314218e+01 2680 1 50 2.994548e+05 2.078257e+06 3.168358e+01 3600 1 60 3.799457e+06 2.078257e+06 3.376386e+01 4020 1 61 3.549665e+06 2.078257e+06 3.396876e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.396876e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 2.956547e+01 920 1 20L 2.799668e+06 2.079457e+06 4.962893e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.850690e+01 2260 1 40L 4.299882e+06 2.079457e+06 9.844133e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.844133e+01 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.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 1.546601e+00 1914 1 200 0.000000e+00 1.191645e+02 1.964657e+00 3840 1 300 7.500000e+01 1.191666e+02 2.373079e+00 5738 1 328 2.500000e+00 1.191667e+02 2.457284e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.457284e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.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 1.284928e+00 2806 1 200 0.000000e+00 1.191666e+02 1.841641e+00 4749 1 287 5.000000e+00 1.191667e+02 2.336192e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.336192e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 4.204080e-01 1033 1 20 8.000000e+00 2.000000e+01 4.642882e-01 1209 1 30 1.200000e+01 2.000000e+01 6.282432e-01 2304 1 40 3.000000e+01 2.000000e+01 7.449811e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.449811e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2) sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+01] bounds range [2e+01, 2e+02] rhs range [8e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.948878e+03 2.847167e+03 7.621179e-01 35 1 10 7.500000e+02 2.935390e+03 8.331869e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.331869e-01 total solves : 350 best bound : 2.935390e+03 simulation ci : 1.544902e+03 ± 5.533339e+02 numeric issues : 0 ------------------------------------------------------------------- Building and solving inner model for upper bounds: Node: 3 - elapsed time: 0.35 plus 0.15 for vertex selection. Node: 2 - elapsed time: 0.41 plus 0.25 for vertex selection. Node: 1 - elapsed time: 0.32 plus 0.24 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 1.7229055720000002 Bounds: Risk-neutral confidence interval: 1411.99 ± 82.02 Risk-adjusted lower bound: 2935.39 Risk-adjusted upper bound: 2969.68 [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 1.809809e-01 3 1 40 2.000000e+00 2.000000e+00 4.124899e-01 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.124899e-01 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] 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 1.395176e+00 1350 1 20 5.062500e+00 4.110713e+00 1.553509e+00 2700 1 30 4.500000e+00 4.104200e+00 1.746413e+00 4050 1 40 3.812500e+00 4.102669e+00 1.892117e+00 5400 1 50 4.725000e+00 4.095504e+00 2.121708e+00 6750 1 60 4.050000e+00 4.092999e+00 2.704881e+00 8100 1 70 4.606250e+00 4.091524e+00 2.968051e+00 9450 1 80 3.875000e+00 4.089694e+00 3.238504e+00 10800 1 90 3.750000e+00 4.089490e+00 3.427079e+00 12150 1 100 5.125000e+00 4.087894e+00 3.622642e+00 13500 1 110 4.500000e+00 4.087478e+00 3.894205e+00 14850 1 120 3.650000e+00 4.086704e+00 4.178706e+00 16200 1 130 4.406250e+00 4.086063e+00 4.438014e+00 17550 1 140 3.375000e+00 4.085981e+00 4.619324e+00 18900 1 150 3.000000e+00 4.085945e+00 4.863069e+00 20250 1 160 3.812500e+00 4.085838e+00 5.161445e+00 21600 1 170 4.250000e+00 4.085728e+00 5.464869e+00 22950 1 180 3.243750e+00 4.085593e+00 5.761820e+00 24300 1 190 4.306250e+00 4.085487e+00 6.059870e+00 25650 1 200 5.237500e+00 4.085446e+00 6.291649e+00 27000 1 210 4.500000e+00 4.085441e+00 6.595052e+00 28350 1 220 3.612500e+00 4.085405e+00 6.917172e+00 29700 1 230 3.700000e+00 4.085382e+00 7.244829e+00 31050 1 240 3.437500e+00 4.085254e+00 7.565872e+00 32400 1 250 4.100000e+00 4.085115e+00 7.880507e+00 33750 1 260 3.000000e+00 4.084973e+00 8.264514e+00 35100 1 270 4.918750e+00 4.084943e+00 8.595091e+00 36450 1 280 2.756250e+00 4.084920e+00 8.936121e+00 37800 1 290 3.737500e+00 4.084868e+00 9.271899e+00 39150 1 300 5.750000e+00 4.084868e+00 9.599775e+00 40500 1 310 5.156250e+00 4.084858e+00 9.947128e+00 41850 1 320 3.131250e+00 4.084855e+00 1.026026e+01 43200 1 330 4.125000e+00 4.084846e+00 1.058343e+01 44550 1 340 5.875000e+00 4.084820e+00 1.090832e+01 45900 1 350 4.587500e+00 4.084810e+00 1.123621e+01 47250 1 360 5.087500e+00 4.084805e+00 1.157307e+01 48600 1 370 4.393750e+00 4.084802e+00 1.190347e+01 49950 1 380 4.750000e+00 4.084792e+00 1.221190e+01 51300 1 390 4.437500e+00 4.084785e+00 1.252351e+01 52650 1 400 4.181250e+00 4.084785e+00 1.285921e+01 54000 1 410 3.650000e+00 4.084777e+00 1.323499e+01 55350 1 420 3.750000e+00 4.084769e+00 1.361322e+01 56700 1 430 3.725000e+00 4.084762e+00 1.397999e+01 58050 1 440 4.218750e+00 4.084751e+00 1.435294e+01 59400 1 450 5.500000e+00 4.084751e+00 1.471891e+01 60750 1 460 3.637500e+00 4.084747e+00 1.508074e+01 62100 1 470 2.993750e+00 4.084743e+00 1.547940e+01 63450 1 480 5.237500e+00 4.084743e+00 1.582598e+01 64800 1 490 4.212500e+00 4.084743e+00 1.616212e+01 66150 1 500 3.843750e+00 4.084743e+00 1.641145e+01 67500 1 510 3.425000e+00 4.084743e+00 1.664665e+01 68850 1 520 4.293750e+00 4.084743e+00 1.687722e+01 70200 1 530 2.818750e+00 4.084740e+00 1.723499e+01 71550 1 540 4.668750e+00 4.084740e+00 1.760408e+01 72900 1 550 2.750000e+00 4.084740e+00 1.795192e+01 74250 1 560 4.100000e+00 4.084740e+00 1.832050e+01 75600 1 570 3.200000e+00 4.084738e+00 1.868522e+01 76950 1 580 3.525000e+00 4.084738e+00 1.902668e+01 78300 1 590 3.125000e+00 4.084738e+00 1.937977e+01 79650 1 600 4.875000e+00 4.084736e+00 1.974566e+01 81000 1 608 3.425000e+00 4.084736e+00 2.000557e+01 82080 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.000557e+01 total solves : 82080 best bound : 4.084736e+00 simulation ci : 4.065738e+00 ± 6.138524e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] 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 3.450000e+00 4.354348e+00 1.017070e+00 1350 1 20 3.375000e+00 4.049745e+00 1.816076e+00 2700 1 30 3.750000e+00 4.046325e+00 2.811147e+00 4050 1 40 4.975000e+00 4.045967e+00 4.086358e+00 5400 1 50 4.387500e+00 4.044709e+00 5.604923e+00 6750 1 60 4.881250e+00 4.039838e+00 7.551631e+00 8100 1 70 4.125000e+00 4.039780e+00 9.627255e+00 9450 1 80 4.625000e+00 4.039278e+00 1.210599e+01 10800 1 90 5.875000e+00 4.039107e+00 1.471071e+01 12150 1 100 4.231250e+00 4.039014e+00 1.774452e+01 13500 1 107 4.125000e+00 4.039009e+00 2.005284e+01 14445 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.005284e+01 total solves : 14445 best bound : 4.039009e+00 simulation ci : 4.016387e+00 ± 1.384040e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 From worker 5: From worker 5: ====================================================================================== From worker 5: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 5: ====================================================================================== From worker 5: From worker 5: cmd: /opt/julia/bin/julia 37339 running 0 of 1 From worker 5: From worker 5: signal (10): User defined signal 1 From worker 5: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 5: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 5: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 5: ijl_task_get_next at /source/src/scheduler.c:522 From worker 5: poptask at ./task.jl:1012 From worker 5: wait at ./task.jl:1021 From worker 5: task_done_hook at ./task.jl:694 From worker 5: jfptr_task_done_hook_66679.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:2951 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3128 From worker 5: jl_apply at /source/src/julia.h:2157 [inlined] From worker 5: jl_finish_task at /source/src/task.c:319 From worker 5: start_task at /source/src/task.c:1213 From worker 5: unknown function (ip: (nil)) From worker 5: From worker 5: ============================================================== From worker 5: Profile collected. A report will print at the next yield point From worker 5: ============================================================== From worker 5: From worker 5: ┌ Warning: There were no samples collected in one or more groups. From worker 5: │ This may be due to idle threads, or you may need to run your From worker 5: │ program longer (perhaps by running it multiple times), From worker 5: │ or adjust the delay between samples with `Profile.init()`. From worker 5: └ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240 From worker 5: Overhead ╎ [+additional indent] Count File:Line; Function From worker 5: ========================================================= From worker 5: Thread 1 Task 0x000074d91715bd00 Total snapshots: 331. Utilization: 0% From worker 5: ╎331 @Base/task.jl:694; task_done_hook(t::Task) From worker 5: ╎ 331 @Base/task.jl:1021; wait() From worker 5: 330╎ 331 @Base/task.jl:1012; poptask(W::Base.IntrusiveLinkedListSynchronized{T… From worker 5: From worker 4: From worker 4: ====================================================================================== From worker 4: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 4: ====================================================================================== From worker 4: From worker 4: cmd: /opt/julia/bin/julia 37338 running 0 of 1 From worker 4: From worker 4: signal (10): User defined signal 1 From worker 4: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 4: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 4: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 4: ijl_task_get_next at /source/src/scheduler.c:522 From worker 4: poptask at ./task.jl:1012 From worker 4: wait at ./task.jl:1021 From worker 4: task_done_hook at ./task.jl:694 From worker 4: jfptr_task_done_hook_66679.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:2951 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3128 From worker 4: jl_apply at /source/src/julia.h:2157 [inlined] From worker 4: jl_finish_task at /source/src/task.c:319 From worker 4: start_task at /source/src/task.c:1213 From worker 4: unknown function (ip: (nil)) From worker 4: From worker 4: ============================================================== From worker 4: Profile collected. A report will print at the next yield point From worker 4: ============================================================== From worker 4: From worker 4: ┌ Warning: There were no samples collected in one or more groups. From worker 4: │ This may be due to idle threads, or you may need to run your From worker 4: │ program longer (perhaps by running it multiple times), From worker 4: │ or adjust the delay between samples with `Profile.init()`. From worker 4: └ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240 From worker 4: Overhead ╎ [+additional indent] Count File:Line; Function From worker 4: ========================================================= From worker 4: Thread 1 Task 0x0000799680881460 Total snapshots: 361. Utilization: 0% From worker 4: ╎361 @Base/task.jl:694; task_done_hook(t::Task) From worker 4: ╎ 361 @Base/task.jl:1021; wait() From worker 4: 360╎ 361 @Base/task.jl:1012; poptask(W::Base.IntrusiveLinkedListSynchronized{T… From worker 4: From worker 3: From worker 3: ====================================================================================== From worker 3: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 3: ====================================================================================== From worker 3: From worker 3: cmd: /opt/julia/bin/julia 37337 running 0 of 1 From worker 3: From worker 3: signal (10): User defined signal 1 From worker 3: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 3: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 3: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 3: ijl_task_get_next at /source/src/scheduler.c:522 From worker 3: poptask at ./task.jl:1012 From worker 3: wait at ./task.jl:1021 From worker 3: task_done_hook at ./task.jl:694 From worker 3: jfptr_task_done_hook_66679.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 3: _jl_invoke at /source/src/gf.c:2951 [inlined] From worker 3: ijl_apply_generic at /source/src/gf.c:3128 From worker 3: jl_apply at /source/src/julia.h:2157 [inlined] From worker 3: jl_finish_task at /source/src/task.c:319 From worker 3: start_task at /source/src/task.c:1213 From worker 3: unknown function (ip: (nil)) From worker 3: From worker 3: ============================================================== From worker 3: Profile collected. A report will print at the next yield point From worker 3: ============================================================== From worker 3: 3.219176e+00 1.165102e+00 3.155296e+01 1680 1 20 From worker 3: ┌ Warning: There were no samples collected in one or more groups. From worker 3: │ This may be due to idle threads, or you may need to run your From worker 3: │ program longer (perhaps by running it multiple times), From worker 3: │ or adjust the delay between samples with `Profile.init()`. From worker 3: └ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240 From worker 3: Overhead ╎ [+additional indent] Count File:Line; Function From worker 3: ========================================================= From worker 3: Thread 1 Task 0x000075168cd44970 Total snapshots: 335. Utilization: 0% From worker 3: ╎335 @Base/task.jl:694; task_done_hook(t::Task) From worker 3: ╎ 335 @Base/task.jl:1021; wait() From worker 3: 334╎ 335 @Base/task.jl:1012; poptask(W::Base.IntrusiveLinkedListSynchronized{T… From worker 3: 2.078810e+00 1.166281e+00 3.354510e+01 2560 1 30 From worker 2: From worker 2: ====================================================================================== From worker 2: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 2: ====================================================================================== From worker 2: From worker 2: cmd: /opt/julia/bin/julia 37333 running 0 of 1 From worker 2: From worker 2: signal (10): User defined signal 1 From worker 2: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 2: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 2: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 2: ijl_task_get_next at /source/src/scheduler.c:522 From worker 2: poptask at ./task.jl:1012 From worker 2: wait at ./task.jl:1021 From worker 2: task_done_hook at ./task.jl:694 From worker 2: jfptr_task_done_hook_66679.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 2: _jl_invoke at /source/src/gf.c:2951 [inlined] From worker 2: ijl_apply_generic at /source/src/gf.c:3128 From worker 2: jl_apply at /source/src/julia.h:2157 [inlined] From worker 2: jl_finish_task at /source/src/task.c:319 From worker 2: start_task at /source/src/task.c:1213 From worker 2: unknown function (ip: (nil)) From worker 2: From worker 2: ============================================================== From worker 2: Profile collected. A report will print at the next yield point From worker 2: ============================================================== From worker 2: 3.973033e+00 1.166907e+00 3.923948e+01 3440 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 15 running 1 of 1 signal (10): User defined signal 1 __libc_free at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) _ZNSt14_Function_base13_Base_managerIZN18HighsMipSolverData15feasibilityJumpEvEUlN24external_feasibilityjump8FJStatusEE_E10_M_managerERSt9_Any_dataRKS6_St18_Manager_operation.lto_priv.5146 at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/gen/libhighs.jl:328 [inlined] #40 at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/MOI_wrapper.jl:2241 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/MOI_wrapper.jl:2241 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/tVdNJ/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/tVdNJ/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7f6a92b620a2) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #optimize!#105 at /home/pkgeval/.julia/packages/JuMP/vfM5V/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/vfM5V/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#95 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 unknown function (ip: 0x7f6a8b0fe03b) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #_simulate#127 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1334 [inlined] #272 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:849 [inlined] collect_to_with_first! at ./array.jl:827 [inlined] _collect at ./array.jl:821 collect_similar at ./array.jl:720 [inlined] map at ./abstractarray.jl:3371 [inlined] #_simulate#271 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#130 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 simulator at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:999 #269 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7f6a92b1b9d7) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #train#111 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x7f6a80a0d70f) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2775 _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 _include at ./loading.jl:2835 include at ./sysimg.jl:38 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10 unknown function (ip: 0x7f6a8126e242) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2775 _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 _include at ./loading.jl:2835 include at ./sysimg.jl:38 unknown function (ip: 0x7f6aaef00082) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] exec_options at ./client.jl:289 _start at ./client.jl:524 jfptr__start_73678.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] true_main at /source/src/jlapi.c:900 jl_repl_entrypoint at /source/src/jlapi.c:1059 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7f6ab052c249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:522 poptask at ./task.jl:1012 wait at ./task.jl:1021 #wait#733 at ./condition.jl:130 wait at ./condition.jl:125 [inlined] wait at ./process.jl:694 wait at ./process.jl:687 unknown function (ip: 0x7fbc2cb658b2) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 subprocess_handler at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2146 #131 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2086 withenv at ./env.jl:265 #118 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1935 with_temp_env at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1793 #116 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1902 #mktempdir#28 at ./file.jl:819 unknown function (ip: 0x7fbc2cb5b7ad) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 mktempdir at ./file.jl:815 mktempdir at ./file.jl:815 [inlined] #sandbox#115 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1849 [inlined] sandbox at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1841 unknown function (ip: 0x7fbc2cb4fd36) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #test#128 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2067 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2011 [inlined] #test#146 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:460 unknown function (ip: 0x7fbc2cb4fa3d) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #test#77 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 unknown function (ip: 0x7fbc2cb4f41d) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:148 #test#75 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] #test#74 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 unknown function (ip: 0x7fbc2cb4b8b6) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2775 _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 _include at ./loading.jl:2835 include at ./Base.jl:562 jfptr_include_47022.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 exec_options at ./client.jl:316 _start at ./client.jl:524 jfptr__start_73678.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] true_main at /source/src/jlapi.c:900 jl_repl_entrypoint at /source/src/jlapi.c:1059 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7fbc2e111249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== Profile collected. A report will print at the next yield point ============================================================== 40 From worker 2: ┌ Warning: There were no samples collected in one or more groups. ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240 From worker 2: │ This may be due to idle threads, or you may need to run yourOverhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x00007f6aa35fc010 Total snapshots: 66. Utilization: 100% ╎63 @Base/client.jl:524; _start() ╎ 63 @Base/client.jl:289; exec_options(opts::Base.JLOptions) ╎ 63 @Base/boot.jl:430; eval ╎ 63 @Base/sysimg.jl:38; include(fname::String) ╎ 63 @Base/loading.jl:2835; _include(mapexpr::Function, mod::Module, _path… ╎ 63 @Base/loading.jl:2775; include_string(mapexpr::typeof(identity), mod… ╎ ╎ 63 @Base/boot.jl:430; eval ╎ ╎ 63 …9RYL/test/runtests.jl:10; util_test_directory(dir::String) ╎ ╎ 63 …RYL/test/runtests.jl:14; util_test_directory(dir::String, exclud… ╎ ╎ 63 @Test/src/Test.jl:1709; macro expansion ╎ ╎ 63 …YL/test/runtests.jl:16; macro expansion ╎ ╎ ╎ 63 @Base/sysimg.jl:38; include ╎ ╎ ╎ 63 @Base/loading.jl:2835; _include(mapexpr::Function, mod::Modul… ╎ ╎ ╎ 63 @Base/loading.jl:2775; include_string(mapexpr::typeof(identi… ╎ ╎ ╎ 63 @Base/boot.jl:430; eval ╎ ╎ ╎ 63 …dp_example_one.jl:42; sldp_example_one() ╎ ╎ ╎ ╎ 63 …src/algorithm.jl:1116; train ╎ ╎ ╎ ╎ 63 …src/algorithm.jl:1291; train(model::SDDP.PolicyGraph{In… ╎ ╎ ╎ ╎ 63 …allel_schemes.jl:49; master_loop(::SDDP.Serial, model:… ╎ ╎ ╎ ╎ 63 @Base/c.jl:167; disable_sigint ╎ ╎ ╎ ╎ 63 …llel_schemes.jl:50; (::SDDP.var"#269#270"{SDDP.Polic… ╎ ╎ ╎ ╎ ╎ 63 …rc/algorithm.jl:999; iteration(model::SDDP.PolicyGr… ╎ ╎ ╎ ╎ ╎ 63 …gins/headers.jl:92; convergence_test(graph::SDDP.P… ╎ ╎ ╎ ╎ ╎ 63 …pping_rules.jl:412; convergence_test(model::SDDP.… ╎ ╎ ╎ ╎ ╎ 63 …ping_rules.jl:325; (::SDDP.var"#simulator#243"{S… ╎ ╎ ╎ ╎ ╎ 63 …/algorithm.jl:1540; kwcall(::@NamedTuple{sampli… ╎ ╎ ╎ ╎ ╎ ╎ 63 …algorithm.jl:1540; simulate ╎ ╎ ╎ ╎ ╎ ╎ 63 …algorithm.jl:1551; #simulate#130 ╎ ╎ ╎ ╎ ╎ ╎ 63 …l_schemes.jl:62; _simulate ╎ ╎ ╎ ╎ ╎ ╎ 63 …l_schemes.jl:70; #_simulate#271 ╎ ╎ ╎ ╎ ╎ ╎ 63 …actarray.jl:3371; map ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …se/array.jl:720; collect_similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …se/array.jl:821; _collect(c::UnitRange{I… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …se/array.jl:827; collect_to_with_first! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …se/array.jl:849; collect_to! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …enerator.jl:48; iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …_schemes.jl:71; #272 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …lgorithm.jl:1334; _simulate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …lgorithm.jl:1382; _simulate(model:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …lgorithm.jl:491; kwcall(::@NamedT… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 63 …lgorithm.jl:517; solve_subproble… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 63 …nterface.jl:560; optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 63 …nterface.jl:609; optimize!(model… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 63 …ptimizer.jl:379; optimize!(m::Ma… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 63 …ptimizer.jl:367; optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 63 …_wrapper.jl:2241; optimize!(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 63 @Base/c.jl:167; disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 63 …_wrapper.jl:2241; #40 62╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 63 …libhighs.jl:328; Highs_run From worker 2: │ program longer (perhaps by running it multiple times), From worker 2: │ or adjust the delay between samples with `Profile.init()`. From worker 2: └ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240 From worker 2: Overhead ╎ [+additional indent] Count File:Line; Function From worker 2: ========================================================= From worker 2: Thread 1 Task 0x000071e9cecefd00 Total snapshots: 357. Utilization: 0% From worker 2: ╎357 @Base/task.jl:694; task_done_hook(t::Task) From worker 2: ╎ 357 @Base/task.jl:1021; wait() From worker 2: 356╎ 357 @Base/task.jl:1012; poptask(W::Base.IntrusiveLinkedListSynchronized{T… From worker 2: 3.706337e+00 1.167312e+00 5.943574e+01 5120 1 50 3.158565e+00 1.167416e+00 6.536725e+01 6000 1 ┌ 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/v1.11/Profile/src/Profile.jl:1240 Overhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x00007fbc211fc010 Total snapshots: 1. Utilization: 0% ╎1 @Base/client.jl:524; _start() ╎ 1 @Base/client.jl:316; exec_options(opts::Base.JLOptions) ╎ 1 @Base/Base.jl:562; include(mod::Module, _path::String) ╎ 1 @Base/loading.jl:2835; _include(mapexpr::Function, mod::Module, _path::S… ╎ 1 @Base/loading.jl:2775; include_string(mapexpr::typeof(identity), mod::M… ╎ 1 @Base/boot.jl:430; eval ╎ ╎ 1 @Pkg/src/API.jl:146; kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(… ╎ ╎ 1 @Pkg/src/API.jl:146; #test#74 ╎ ╎ 1 @Pkg/src/API.jl:147; test ╎ ╎ 1 @Pkg/src/API.jl:147; #test#75 ╎ ╎ 1 @Pkg/src/API.jl:148; kwcall(::@NamedTuple{julia_args::Cmd}, ::typ… ╎ ╎ ╎ 1 @Pkg/src/API.jl:159; test(pkgs::Vector{Pkg.Types.PackageSpec}; i… ╎ ╎ ╎ 1 @Pkg/src/API.jl:460; kwcall(::@NamedTuple{julia_args::Cmd, io::… ╎ ╎ ╎ 1 @Pkg/src/API.jl:481; test(ctx::Pkg.Types.Context, pkgs::Vector… ╎ ╎ ╎ 1 …/src/Operations.jl:2011; test ╎ ╎ ╎ 1 …src/Operations.jl:2067; test(ctx::Pkg.Types.Context, pkgs::… ╎ ╎ ╎ ╎ 1 …src/Operations.jl:1841; kwcall(::@NamedTuple{preferences::… ╎ ╎ ╎ ╎ 1 …src/Operations.jl:1849; #sandbox#115 ╎ ╎ ╎ ╎ 1 @Base/file.jl:815; mktempdir ╎ ╎ ╎ ╎ 1 @Base/file.jl:815; mktempdir(fn::Function, parent::Strin… ╎ ╎ ╎ ╎ 1 @Base/file.jl:819; mktempdir(fn::Pkg.Operations.var"#11… ╎ ╎ ╎ ╎ ╎ 1 …c/Operations.jl:1902; (::Pkg.Operations.var"#116#121"… ╎ ╎ ╎ ╎ ╎ 1 …c/Operations.jl:1793; with_temp_env(fn::Pkg.Operatio… ╎ ╎ ╎ ╎ ╎ 1 …/Operations.jl:1935; (::Pkg.Operations.var"#118#123… ╎ ╎ ╎ ╎ ╎ 1 @Base/env.jl:265; withenv(::Pkg.Operations.var"#131… ╎ ╎ ╎ ╎ ╎ 1 …Operations.jl:2086; (::Pkg.Operations.var"#131#13… ╎ ╎ ╎ ╎ ╎ ╎ 1 …Operations.jl:2146; subprocess_handler(cmd::Cmd,… ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/process.jl:687; wait(x::Base.Process) ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/process.jl:694; wait(x::Base.Process, syncd… ╎ ╎ ╎ ╎ ╎ ╎ 1 …condition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ 1 …condition.jl:130; wait(c::Base.GenericCondit… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1021; wait() ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1012; poptask(W::Base.Intrusiv… [15] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/sldp_example_one.jl:47 _ZNK16HighsMipAnalysis12mipTimerStopEi at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData16evaluateRootNodeEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/33492bbb3ce9a984f08ca11ba891b9f59c0c00f4/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/gen/libhighs.jl:328 [inlined] #40 at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/MOI_wrapper.jl:2241 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/b1dPT/src/MOI_wrapper.jl:2241 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/tVdNJ/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/tVdNJ/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7f6a92b620a2) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #optimize!#105 at /home/pkgeval/.julia/packages/JuMP/vfM5V/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/vfM5V/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#95 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 unknown function (ip: 0x7f6a8b0fe03b) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #_simulate#127 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1334 [inlined] #272 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:849 [inlined] collect_to_with_first! at ./array.jl:827 [inlined] _collect at ./array.jl:821 collect_similar at ./array.jl:720 [inlined] map at ./abstractarray.jl:3371 [inlined] #_simulate#271 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#130 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 simulator at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:325 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:412 _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 convergence_test at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:999 #269 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7f6a92b1b9d7) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #train#111 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] sldp_example_one at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/sldp_example_one.jl:42 unknown function (ip: 0x7f6a80a0d70f) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2775 _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 _include at ./loading.jl:2835 include at ./sysimg.jl:38 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10 unknown function (ip: 0x7f6a8126e242) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2775 _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 _include at ./loading.jl:2835 include at ./sysimg.jl:38 unknown function (ip: 0x7f6aaef00082) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 PkgEval terminated after 2775.89s: test duration exceeded the time limit