Package evaluation of SDDP on Julia 1.13.0-DEV.1039 (6568124d5b*) started at 2025-08-26T18:17:56.042 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.86s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed SDDP ─ v1.13.0 Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.13.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [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 v1.0.1 [cd3eb016] + HTTP v1.10.17 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.28.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.43.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.8.12 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 5.71s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 51.78s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_33CzZW/Project.toml` [87dc4568] HiGHS v1.19.0 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.19 [f4570300] SDDP v1.13.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_33CzZW/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.30.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [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 packages... 5468.6 ms ✓ JSONSchema 1 dependency successfully precompiled in 6 seconds. 24 already precompiled. [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.13 plus 3.81 for vertex selection. Node: 2 - elapsed time: 0.04 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.04 plus 0.01 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 4.051236723000001 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.1 plus 0.06 for vertex selection. Node: 18 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 17 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 16 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 15 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 14 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 13 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 12 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 11 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 10 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 9 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 8 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 7 - elapsed time: 0.18 plus 0.05 for vertex selection. Node: 6 - elapsed time: 0.19 plus 0.06 for vertex selection. Node: 5 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 4 - elapsed time: 0.2 plus 0.06 for vertex selection. Node: 3 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 2 - elapsed time: 0.21 plus 0.06 for vertex selection. Node: 1 - elapsed time: 0.2 plus 0.05 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 5.893993e-02 4 1 3 0.000000e+00 0.000000e+00 6.067941e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.067941e-01 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 2.239609e-02 9 1 20 7.500000e+04 1.075000e+05 6.451831e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.451831e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/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 1.157776e+00 12 1 10 2.500000e+00 3.361111e+01 1.187451e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.187451e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 1.430488e-02 12 1 10 2.500000e+00 3.361111e+01 3.921103e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.921103e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.039720e-02 46 1 50 0.000000e+00 1.191663e+02 5.103252e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.103252e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.015711e-02 46 1 50 0.000000e+00 1.191663e+02 5.438621e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.438621e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl Precompiling packages... 51494.3 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 53 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 4.128571e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.925372e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.970102e+00 412 1 6S -6.064080e+01 -6.678327e+01 9.164078e+00 618 1 15S -4.168889e+01 -6.677644e+01 1.496473e+01 1545 1 25S -4.168889e+01 -6.677644e+01 2.087642e+01 2575 1 35S -3.268889e+01 -6.677644e+01 2.687041e+01 3605 1 45S -4.168889e+01 -6.677644e+01 3.298410e+01 4635 1 55S -4.868889e+01 -6.677644e+01 3.898079e+01 5665 1 65S -4.168889e+01 -6.677644e+01 4.505905e+01 6695 1 75S -8.368889e+01 -6.677644e+01 5.118523e+01 7725 1 85S -6.068889e+01 -6.677644e+01 5.734822e+01 8755 1 95S -6.468889e+01 -6.677644e+01 6.335023e+01 9785 1 100 -8.368889e+01 -6.677644e+01 6.575814e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.575814e+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 1.677036e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.677036e-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 4: Precompiling packages... From worker 3: Precompiling packages... From worker 2: Precompiling packages... From worker 5: Precompiling packages... From worker 2: HTTP Being precompiled by another process (pid: 0, pidfile: /home/pkgeval/.julia/compiled/v1.13/HTTP/zXWya_eJM3J.ji.pidfile) From worker 3: HTTP Being precompiled by another process (pid: 0, pidfile: /home/pkgeval/.julia/compiled/v1.13/HTTP/zXWya_eJM3J.ji.pidfile) From worker 5: HTTP Being precompiled by another process (pid: 0, pidfile: /home/pkgeval/.julia/compiled/v1.13/HTTP/zXWya_eJM3J.ji.pidfile) From worker 4: 43878.8 ms ✓ HTTP From worker 3: 43750.9 ms ✓ HTTP From worker 2: 43978.3 ms ✓ HTTP From worker 3: SDDP Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: 44138.2 ms ✓ HTTP From worker 2: SDDP Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: SDDP Being precompiled by another process (pid: 104, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 4: 29813.3 ms ✓ SDDP From worker 4: 2 dependencies successfully precompiled in 80 seconds. 69 already precompiled. From worker 4: 1 dependency had output during precompilation: From worker 4: ┌ HTTP From worker 4: │ ┌ Info: Ignoring an error that occurred during the precompilation workload From worker 4: │ │ exception = From worker 4: │ │ HTTP.ConnectError for url = `https://localhost:57813`: IOError: connect: connection refused (ECONNREFUSED) From worker 4: │ │ Stacktrace: From worker 4: │ │ [1] getconnection(::Type{Sockets.TCPSocket}, host::SubString{String}, port::SubString{String}; keepalive::Bool, readtimeout::Int64, kw::@Kwargs{require_ssl_verification::Bool, iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 4: │ │ @ HTTP.Connections ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:531 From worker 4: │ │ [2] getconnection From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:508 [inlined] From worker 4: │ │ [3] getconnection(::Type{OpenSSL.SSLStream}, host::SubString{String}, port::SubString{String}; kw::@Kwargs{require_ssl_verification::Bool, keepalive::Bool, readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 4: │ │ @ HTTP.Connections ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:585 From worker 4: │ │ [4] getconnection From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:578 [inlined] From worker 4: │ │ [5] #13 From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:467 [inlined] From worker 4: │ │ [6] macro expansion From worker 4: │ │ @ ~/.julia/packages/ConcurrentUtilities/ofY4K/src/try_with_timeout.jl:92 [inlined] From worker 4: │ │ [7] (::ConcurrentUtilities.var"#try_with_timeout##2#try_with_timeout##3"{Any, Channel{Any}, HTTP.Connections.var"#13#14"{OpenSSL.SSLStream, Bool, Bool, @Kwargs{readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}, SubString{String}, SubString{String}}, Timer})() From worker 4: │ │ @ ConcurrentUtilities ~/.julia/packages/ConcurrentUtilities/ofY4K/src/ConcurrentUtilities.jl:10 From worker 4: │ │ Stacktrace: From worker 4: │ │ [1] (::HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}})(req::HTTP.Messages.Request; proxy::Nothing, socket_type::Type, socket_type_tls::Nothing, readtimeout::Int64, connect_timeout::Int64, logerrors::Bool, logtag::Nothing, closeimmediately::Bool, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 4: │ │ @ HTTP.ConnectionRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/ConnectionRequest.jl:88 From worker 4: │ │ [2] connections From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/ConnectionRequest.jl:60 [inlined] From worker 4: │ │ [3] (::Base.var"#46#47"{Base.var"#48#49"{ExponentialBackOff, HTTP.RetryRequest.var"#retrylayer##2#retrylayer##3"{Int64, typeof(HTTP.RetryRequest.FALSE), HTTP.Messages.Request, Base.RefValue{Int64}}, HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(args::HTTP.Messages.Request; kwargs::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 4: │ │ @ Base ./error.jl:321 From worker 4: │ │ [4] kwcall(::@NamedTuple{iofunction::Nothing, decompress::Nothing, verbose::Int64}, ::Base.var"#46#47"{Base.var"#48#49"{ExponentialBackOff, HTTP.RetryRequest.var"#retrylayer##2#retrylayer##3"{Int64, typeof(HTTP.RetryRequest.FALSE), HTTP.Messages.Request, Base.RefValue{Int64}}, HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}, args::HTTP.Messages.Request) From worker 4: │ │ @ Base ./error.jl:304 From worker 4: │ │ [5] (::HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(req::HTTP.Messages.Request; retry::Bool, retries::Int64, retry_delays::ExponentialBackOff, retry_check::Function, retry_non_idempotent::Bool, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 4: │ │ @ HTTP.RetryRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RetryRequest.jl:75 From worker 4: │ │ [6] manageretries From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RetryRequest.jl:30 [inlined] From worker 4: │ │ [7] (::HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}})(req::HTTP.Messages.Request; cookies::Bool, cookiejar::HTTP.Cookies.CookieJar, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 4: │ │ @ HTTP.CookieRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/CookieRequest.jl:42 From worker 4: │ │ [8] managecookies From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/CookieRequest.jl:19 [inlined] From worker 4: │ │ [9] (::HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}})(req::HTTP.Messages.Request; iofunction::Nothing, decompress::Nothing, basicauth::Bool, detect_content_type::Bool, canonicalize_headers::Bool, kw::@Kwargs{verbose::Int64}) From worker 4: │ │ @ HTTP.HeadersRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/HeadersRequest.jl:71 From worker 4: │ │ [10] defaultheaders From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/HeadersRequest.jl:14 [inlined] From worker 4: │ │ [11] (::HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}})(req::HTTP.Messages.Request; redirect::Bool, redirect_limit::Int64, redirect_method::Nothing, forwardheaders::Bool, response_stream::Nothing, kw::@Kwargs{verbose::Int64}) From worker 4: │ │ @ HTTP.RedirectRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RedirectRequest.jl:25 From worker 4: │ │ [12] redirects From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RedirectRequest.jl:14 [inlined] From worker 4: │ │ [13] (::HTTP.MessageRequest.var"#makerequest#messagelayer##0"{HTTP.MessageRequest.var"#makerequest#1#messagelayer##1"{HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}}}})(method::String, url::URIs.URI, headers::Nothing, body::Vector{UInt8}; copyheaders::Bool, response_stream::Nothing, http_version::HTTP.Strings.HTTPVersion, verbose::Int64, kw::@Kwargs{}) From worker 4: │ │ @ HTTP.MessageRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/MessageRequest.jl:35 From worker 4: │ │ [14] makerequest From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/MessageRequest.jl:24 [inlined] From worker 4: │ │ [15] request(stack::HTTP.MessageRequest.var"#makerequest#messagelayer##0"{HTTP.MessageRequest.var"#makerequest#1#messagelayer##1"{HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}}}}, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing; headers::Nothing, body::Vector{UInt8}, query::Nothing, kw::@Kwargs{}) From worker 4: │ │ @ HTTP ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:457 From worker 4: │ │ [16] request(stack::Function, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing) From worker 4: │ │ @ HTTP ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:455 From worker 4: │ │ [17] #request#21 From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:315 [inlined] From worker 4: │ │ ┌[18] request From worker 4: │ │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:313 [inlined] From worker 4: │ │ ╰──── repeated 2 times From worker 4: │ │ [20] get From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:518 [inlined] From worker 4: │ │ [21] #51 From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:36 [inlined] From worker 4: │ │ [22] withenv(::HTTP.var"#51#52"{String}, ::Pair{String, Union{Nothing, String}}, ::Vararg{Pair{String, Union{Nothing, String}}}) From worker 4: │ │ @ Base ./env.jl:265 From worker 4: │ │ [23] macro expansion From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:35 [inlined] From worker 4: │ │ [24] macro expansion From worker 4: │ │ @ ~/.julia/packages/PrecompileTools/Z8SWe/src/workloads.jl:73 [inlined] From worker 4: │ │ [25] macro expansion From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:34 [inlined] From worker 4: │ │ [26] macro expansion From worker 4: │ │ @ ~/.julia/packages/PrecompileTools/Z8SWe/src/workloads.jl:121 [inlined] From worker 4: │ │ [27] top-level scope From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:4 From worker 4: │ │ [28] include(mapexpr::Function, mod::Module, _path::String) From worker 4: │ │ @ Base ./Base.jl:309 From worker 4: │ │ [29] top-level scope From worker 4: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:643 From worker 4: │ │ [30] include(mod::Module, _path::String) From worker 4: │ │ @ Base ./Base.jl:308 From worker 4: │ │ [31] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) From worker 4: │ │ @ Base ./loading.jl:3017 From worker 4: │ │ [32] top-level scope From worker 4: │ │ @ stdin:5 From worker 4: │ │ [33] eval(m::Module, e::Any) From worker 4: │ │ @ Core ./boot.jl:489 From worker 4: │ │ [34] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) From worker 4: │ │ @ Base ./loading.jl:2863 From worker 4: │ │ [35] include_string From worker 4: │ │ @ ./loading.jl:2873 [inlined] From worker 4: │ │ [36] exec_options(opts::Base.JLOptions) From worker 4: │ │ @ Base ./client.jl:328 From worker 4: │ │ [37] _start() From worker 4: │ └ @ Base ./client.jl:563 From worker 4: └ From worker 3: 29903.8 ms ✓ SDDP From worker 3: 2 dependencies successfully precompiled in 81 seconds. 69 already precompiled. From worker 2: 30207.3 ms ✓ SDDP From worker 2: 2 dependencies successfully precompiled in 81 seconds. 69 already precompiled. From worker 5: 30731.5 ms ✓ SDDP From worker 5: 2 dependencies successfully precompiled in 82 seconds. 69 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 3.120144e+02 2 5 20 9.000000e+00 6.000000e+00 3.160752e+02 40 5 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.160752e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 7.000000e+00 ± 8.043670e-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 5.736308e-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] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::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"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ 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(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [6] IncludeInto @ ./Base.jl:310 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1962 [inlined] [9] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/39RYL/test/runtests.jl:14 [10] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1962 [inlined] [12] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [17] _start() @ Base ./client.jl:563 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] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:465 [2] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [3] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [4] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [5] wait @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:586 [inlined] [6] _broadcast_getindex_evalf @ ./broadcast.jl:701 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:674 [inlined] [8] _getindex @ ./broadcast.jl:622 [inlined] [9] getindex @ ./broadcast.jl:618 [inlined] [10] macro expansion @ ./broadcast.jl:997 [inlined] [11] macro expansion @ ./simdloop.jl:77 [inlined] [12] copyto! @ ./broadcast.jl:996 [inlined] [13] copyto! @ ./broadcast.jl:949 [inlined] [14] copy @ ./broadcast.jl:921 [inlined] [15] materialize @ ./broadcast.jl:896 [inlined] [16] master_loop(async::SDDP.Asynchronous, model::SDDP.PolicyGraph{Int64}, options::SDDP.Options{Int64}) @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:265 [17] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::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"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 [18] train @ ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] [19] test_async_solve() @ Main ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:176 [20] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/plugins/parallel_schemes.jl:233 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [22] IncludeInto @ ./Base.jl:310 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1962 [inlined] [25] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/39RYL/test/runtests.jl:14 [26] top-level scope @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1962 [inlined] [28] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [30] top-level scope @ none:6 [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [33] _start() @ Base ./client.jl:563 [ 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 5.270958e-03 4 1 50 0.000000e+00 0.000000e+00 2.322171e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.322171e-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 packages... 4932.2 ms ✓ StatsBase 4950.4 ms ✓ UnitfulLatexify 8728.8 ms ✓ RecipesPipeline 104831.4 ms ✓ Plots 16720.6 ms ✓ Plots → UnitfulExt 5 dependencies successfully precompiled in 142 seconds. 173 already precompiled. From worker 3: Precompiling packages... From worker 4: Precompiling packages... From worker 2: Precompiling packages... From worker 5: Precompiling packages... From worker 3: Plots Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 5: Plots Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 4: Plots Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: 118091.0 ms ✓ Plots From worker 4: 121043.9 ms ✓ Plots From worker 4: UnitfulExt Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/nmz2a_eJM3J.ji.pidfile) From worker 5: 122442.7 ms ✓ Plots From worker 5: UnitfulExt Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/nmz2a_eJM3J.ji.pidfile) From worker 3: 124874.7 ms ✓ Plots From worker 3: UnitfulExt Being precompiled by another process (pid: 98, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/nmz2a_eJM3J.ji.pidfile) From worker 2: 22712.3 ms ✓ Plots → UnitfulExt From worker 2: 2 dependencies successfully precompiled in 151 seconds. 176 already precompiled. From worker 5: 19609.4 ms ✓ Plots → UnitfulExt From worker 5: 2 dependencies successfully precompiled in 152 seconds. 176 already precompiled. From worker 4: 24473.3 ms ✓ Plots → UnitfulExt From worker 4: 2 dependencies successfully precompiled in 155 seconds. 176 already precompiled. From worker 3: 24354.5 ms ✓ Plots → UnitfulExt From worker 3: 2 dependencies successfully precompiled in 159 seconds. 176 already precompiled. test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1962 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1962 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.189941e+00 5 1 20 0.000000e+00 -1.000000e+01 7.806986e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.806986e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 2.141404e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.840900e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.583694e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.412508e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.518103e-02 224 1 30 -5.320000e+00 -2.396000e+01 6.486297e-02 264 1 35 -2.396000e+01 -2.396000e+01 7.536793e-02 304 1 40 -2.396000e+01 -2.396000e+01 8.697009e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.697009e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 412ms / 18.5% 12.6MiB / 59.5% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 44.5ms 58.5% 1.11ms 5.63MiB 75.4% 144KiB solve_subproblem 160 23.9ms 31.5% 149μs 698KiB 9.1% 4.36KiB get_dual_solution 160 1.11ms 1.5% 6.95μs 180KiB 2.4% 1.12KiB prepare_backward_pass 160 52.0μs 0.1% 325ns 0.00B 0.0% 0.00B forward_pass 40 22.4ms 29.4% 559μs 1.65MiB 22.1% 42.3KiB solve_subproblem 120 20.4ms 26.8% 170μs 1.48MiB 19.8% 12.6KiB get_dual_solution 120 38.5μs 0.1% 321ns 13.1KiB 0.2% 112B sample_scenario 40 354μs 0.5% 8.84μs 24.2KiB 0.3% 620B calculate_bound 40 9.14ms 12.0% 228μs 183KiB 2.4% 4.56KiB get_dual_solution 40 15.1μs 0.0% 378ns 4.38KiB 0.1% 112B get_dual_solution 36 11.7μs 0.0% 325ns 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 5.943799e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.815004e-02 92 1 15 -2.396000e+01 -2.396000e+01 7.923794e-02 132 1 20 -4.260000e+01 -2.396000e+01 9.119701e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.068161e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.218939e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.385639e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.569629e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.569629e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 164ms / 88.1% 14.7MiB / 94.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 107ms 73.9% 2.67ms 12.0MiB 86.7% 307KiB solve_subproblem 160 28.7ms 19.9% 179μs 700KiB 4.9% 4.37KiB get_dual_solution 160 1.33ms 0.9% 8.31μs 180KiB 1.3% 1.12KiB prepare_backward_pass 160 70.0μs 0.0% 437ns 0.00B 0.0% 0.00B forward_pass 40 25.7ms 17.8% 643μs 1.65MiB 11.9% 42.3KiB solve_subproblem 120 22.8ms 15.8% 190μs 1.48MiB 10.7% 12.6KiB get_dual_solution 120 45.7μs 0.0% 381ns 13.1KiB 0.1% 112B sample_scenario 40 507μs 0.4% 12.7μs 24.3KiB 0.2% 623B calculate_bound 40 12.0ms 8.3% 300μs 184KiB 1.3% 4.61KiB get_dual_solution 40 18.3μs 0.0% 458ns 4.38KiB 0.0% 112B get_dual_solution 36 13.5μs 0.0% 375ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 1.763201e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.782660e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.792030e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.799741e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.807330e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.814461e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.821840e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.829331e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.836970e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.844609e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.852460e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.861091e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.869359e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.877661e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.886661e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.895270e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.903801e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.912661e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.921630e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.930649e-01 104 1 21 -1.000000e+00 -2.000000e+00 1.947620e-01 113 1 22 -1.000000e+00 -2.000000e+00 1.956921e-01 118 1 23 -3.000000e+00 -2.000000e+00 1.966050e-01 123 1 24 -3.000000e+00 -2.000000e+00 1.975739e-01 128 1 25 -1.000000e+00 -2.000000e+00 1.985619e-01 133 1 26 -3.000000e+00 -2.000000e+00 1.995621e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.005701e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.015491e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.024751e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.033911e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.043140e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.052810e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.062900e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.072921e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.082789e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.092619e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.102561e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.112451e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.123010e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.135420e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.135420e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 2.756560e-01 51 1 24 2.178733e+02 2.251256e+02 1.276715e+00 3972 1 30 2.138334e+03 2.336430e+02 2.716311e+00 7674 1 38 8.025312e+02 2.352957e+02 3.901586e+00 10194 1 46 1.737622e+02 2.358930e+02 4.933205e+00 12054 1 57 6.154394e+01 2.360915e+02 5.975593e+00 13671 1 63 1.493193e+03 2.362190e+02 7.581695e+00 15909 1 71 1.519535e+02 2.362929e+02 8.601955e+00 17205 1 76 3.050305e+02 2.363467e+02 9.966733e+00 18936 1 100 4.969839e+02 2.364135e+02 1.477042e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.477042e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 8.343551e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.142288e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.473284e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.800108e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.128580e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.478213e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.832598e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.197956e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.691434e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.026156e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.026156e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 4.252870e-01 1050 1 20 -1.529197e+00 -1.471817e+00 4.992940e-01 1600 1 30 -1.410768e+00 -1.471408e+00 6.775110e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.635391e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.555330e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.066809e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.281418e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.384863e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.593589e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.697240e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.797579e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.912949e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.036515e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.151965e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.271509e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.403461e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.531222e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.656196e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.680187e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.680187e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 2.554202e-02 54 1 20 3.336455e+05 3.402383e+05 3.704786e-02 104 1 30 3.993519e+05 3.403155e+05 4.747987e-02 158 1 40 3.337559e+05 3.403155e+05 5.710483e-02 208 1 48 3.337559e+05 3.403155e+05 6.646895e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.646895e-02 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 3.809619e-02 92 1 20 4.506600e+05 4.054833e+05 6.096911e-02 172 1 30 3.959476e+05 4.067125e+05 8.170509e-02 264 1 40 4.497721e+05 4.067125e+05 1.010370e-01 344 1 47 3.959476e+05 4.067125e+05 2.895980e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.895980e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 6.467653e+00 14 1 40 2.308500e+03 4.074139e+03 7.335245e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.335245e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 2.414750e+00 8 1 6L 4.000000e+04 6.250000e+04 3.463625e+00 60 1 16L 6.000000e+04 6.250000e+04 4.610576e+00 140 1 20L 6.000000e+04 6.250000e+04 5.325095e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.325095e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.573610e-02 8 1 16 4.000000e+04 6.250000e+04 1.055204e+00 140 1 20 4.000000e+04 6.250000e+04 1.301689e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.301689e+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 5.846000e-02 5 1 10 4.000000e+04 6.250000e+04 6.951480e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.951480e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 3.276632e-01 6 1 20L 9.000000e+00 9.000000e+00 4.237971e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.237971e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 1.159083e+00 87 1 10 -1.109375e+01 2.605769e-01 1.172008e+00 142 1 15 3.105797e+00 5.434132e-01 1.186326e+00 197 1 20 -2.463349e+01 1.503415e+00 1.202364e+00 252 1 25 -1.421085e-14 1.514085e+00 1.217832e+00 307 1 30 4.864000e+01 1.514085e+00 3.392453e+00 394 1 35 4.864000e+01 1.514085e+00 3.406756e+00 449 1 40 -8.870299e+00 1.514085e+00 3.422585e+00 504 1 45 -1.428571e+00 1.514085e+00 3.438873e+00 559 1 48 -1.428571e+00 1.514085e+00 3.449422e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.449422e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 9.540360e-01 278 1 20 1.440356e+01 1.278425e+00 9.914589e-01 428 1 30 8.388546e+00 1.278425e+00 1.057343e+00 706 1 40 6.666667e-03 1.278410e+00 1.097730e+00 856 1 50 -5.614035e+00 1.278410e+00 1.166203e+00 1134 1 60 1.426676e+01 1.278410e+00 1.213417e+00 1284 1 64 1.261296e+01 1.278410e+00 1.233927e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.233927e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 9.169292e-02 278 1 20 1.111084e+01 1.278410e+00 1.415970e-01 428 1 30 2.293779e+01 1.278410e+00 2.274120e-01 706 1 40 1.426676e+01 1.278410e+00 3.080349e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.080349e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 5.235000e+00 900 1 20 6.374753e+00 1.361934e+01 5.622116e+00 1720 1 30 2.848217e+01 1.624016e+01 6.513106e+00 3036 1 40 1.973944e+01 1.776547e+01 7.393858e+00 4192 1 50 4.000000e+00 1.889360e+01 8.173224e+00 5020 1 60 1.142478e+01 1.907862e+01 9.052930e+00 5808 1 70 9.386421e+00 1.961295e+01 9.969136e+00 6540 1 80 5.667851e+01 1.890911e+01 1.073581e+01 7088 1 90 3.740597e+01 1.993139e+01 1.228287e+01 8180 1 100 9.867183e+00 2.001688e+01 1.301911e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.301911e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.137816e+00 36 1 10 0.000000e+00 0.000000e+00 3.182840e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.182840e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 6.960869e-03 407 1 10 2.850000e+02 5.728212e+02 6.782484e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.782484e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 6.208897e-03 778 1 10 2.825000e+02 3.465177e+02 6.982684e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.982684e-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 7.416010e-03 1149 1 10 2.587500e+02 2.052799e+02 6.882691e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.882691e-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 8.651972e-03 1520 1 10 2.875000e+02 4.661908e+02 7.527781e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.527781e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 7.838011e-03 1891 1 10 1.000000e+02 1.129771e+02 6.603312e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.603312e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 7.676125e-03 2262 1 10 1.625000e+02 2.794553e+02 7.330298e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.330298e-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 8.311033e-03 2633 1 10 5.487500e+02 4.077574e+02 7.704186e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.704186e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 8.848906e-03 3004 1 10 6.771875e+02 5.210100e+02 8.151484e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.151484e-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 1.281660e-01 3375 1 10 5.312500e+01 5.938345e+01 1.914089e-01 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.914089e-01 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.428513e+00 235 1 10 1.000000e+01 9.159200e+00 1.900908e+00 310 1 15 1.000000e+01 9.159200e+00 2.415039e+00 385 1 20 1.000000e+01 9.159200e+00 2.925504e+00 460 1 25 1.000000e+01 9.159200e+00 5.756896e+00 695 1 30 4.000000e+00 9.159200e+00 6.224853e+00 770 1 35 1.000000e+01 9.159200e+00 6.686905e+00 845 1 40 1.000000e+01 9.159200e+00 7.238506e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.238506e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.EqualTo{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 1.384817e+00 510 1 20 1.000000e+01 6.834387e+00 3.025946e+00 720 1 30 7.000000e+00 6.834387e+00 6.976867e+00 1230 1 40 1.000000e+01 6.823805e+00 8.624362e+00 1440 1 50 3.000000e+00 6.823805e+00 1.269836e+01 1950 1 60 2.000000e+00 6.823805e+00 1.437144e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.437144e+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 1.383972e+01 920 1 20 6.049875e+06 2.075240e+06 1.665876e+01 1340 1 30 5.496647e+05 2.078257e+06 2.983414e+01 2260 1 40 3.985383e+04 2.078257e+06 3.262181e+01 2680 1 50 2.994548e+05 2.078257e+06 4.570372e+01 3600 1 60 3.799457e+06 2.078257e+06 4.851585e+01 4020 1 61 3.549665e+06 2.078257e+06 4.878767e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.878767e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.359478e+01 920 1 20L 2.799668e+06 2.079457e+06 5.531085e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.861409e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.100658e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.100658e+02 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 2.624613e+00 1914 1 200 0.000000e+00 1.191645e+02 3.105429e+00 3840 1 300 7.500000e+01 1.191666e+02 3.538472e+00 5738 1 328 2.500000e+00 1.191667e+02 3.632612e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.632612e+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 6.592441e-01 2806 1 200 0.000000e+00 1.191666e+02 1.241966e+00 4749 1 287 5.000000e+00 1.191667e+02 1.697523e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.697523e+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 1.150360e-01 1033 1 20 8.000000e+00 2.000000e+01 1.396940e-01 1209 1 30 1.200000e+01 2.000000e+01 2.676671e-01 2304 1 40 3.000000e+01 2.000000e+01 3.540671e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.540671e-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 8.754015e-02 35 1 10 7.500000e+02 2.935390e+03 1.477640e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.477640e-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: 0.26 plus 0.55 for vertex selection. Node: 2 - elapsed time: 0.03 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.03 plus 0.01 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 0.8780207350000001 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 1.814103e-02 3 1 40 2.000000e+00 2.000000e+00 9.492302e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.492302e-02 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 9.639459e-01 1350 1 20 5.062500e+00 4.110713e+00 1.169965e+00 2700 1 30 4.500000e+00 4.104200e+00 1.391484e+00 4050 1 40 3.812500e+00 4.102669e+00 1.694110e+00 5400 1 50 4.725000e+00 4.095504e+00 1.931454e+00 6750 1 60 4.050000e+00 4.092999e+00 2.161575e+00 8100 1 70 4.606250e+00 4.091524e+00 2.373802e+00 9450 1 80 3.875000e+00 4.089694e+00 2.593814e+00 10800 1 90 3.750000e+00 4.089490e+00 2.826988e+00 12150 1 100 5.125000e+00 4.087894e+00 3.064229e+00 13500 1 110 4.500000e+00 4.087478e+00 3.303453e+00 14850 1 120 3.650000e+00 4.086704e+00 3.562855e+00 16200 1 130 4.406250e+00 4.086063e+00 3.816318e+00 17550 1 140 3.375000e+00 4.085981e+00 4.049285e+00 18900 1 150 3.000000e+00 4.085945e+00 4.306725e+00 20250 1 160 3.812500e+00 4.085838e+00 4.561510e+00 21600 1 170 4.250000e+00 4.085728e+00 4.825168e+00 22950 1 180 3.243750e+00 4.085593e+00 5.086893e+00 24300 1 190 4.306250e+00 4.085487e+00 5.349740e+00 25650 1 200 5.237500e+00 4.085446e+00 5.631047e+00 27000 1 210 4.500000e+00 4.085441e+00 5.902858e+00 28350 1 220 3.612500e+00 4.085405e+00 6.187335e+00 29700 1 230 3.700000e+00 4.085382e+00 6.475054e+00 31050 1 240 3.437500e+00 4.085254e+00 6.751184e+00 32400 1 250 4.100000e+00 4.085115e+00 7.038044e+00 33750 1 260 3.000000e+00 4.084973e+00 7.346957e+00 35100 1 270 4.918750e+00 4.084943e+00 7.665598e+00 36450 1 280 2.756250e+00 4.084920e+00 8.005674e+00 37800 1 290 3.737500e+00 4.084868e+00 8.356157e+00 39150 1 300 5.750000e+00 4.084868e+00 8.787786e+00 40500 1 310 5.156250e+00 4.084858e+00 9.131606e+00 41850 1 320 3.131250e+00 4.084855e+00 9.462638e+00 43200 1 330 4.125000e+00 4.084846e+00 9.796245e+00 44550 1 340 5.875000e+00 4.084820e+00 1.013238e+01 45900 1 350 4.587500e+00 4.084810e+00 1.047386e+01 47250 1 360 5.087500e+00 4.084805e+00 1.082644e+01 48600 1 370 4.393750e+00 4.084802e+00 1.114594e+01 49950 1 380 4.750000e+00 4.084792e+00 1.148396e+01 51300 1 390 4.437500e+00 4.084785e+00 1.182729e+01 52650 1 400 4.181250e+00 4.084785e+00 1.216818e+01 54000 1 410 3.650000e+00 4.084777e+00 1.251447e+01 55350 1 420 3.750000e+00 4.084769e+00 1.287350e+01 56700 1 430 3.725000e+00 4.084762e+00 1.322607e+01 58050 1 440 4.218750e+00 4.084751e+00 1.358380e+01 59400 1 450 5.500000e+00 4.084751e+00 1.393614e+01 60750 1 460 3.637500e+00 4.084747e+00 1.428502e+01 62100 1 470 2.993750e+00 4.084743e+00 1.463912e+01 63450 1 480 5.237500e+00 4.084743e+00 1.498879e+01 64800 1 490 4.212500e+00 4.084743e+00 1.531334e+01 66150 1 500 3.843750e+00 4.084743e+00 1.559002e+01 67500 1 510 3.425000e+00 4.084743e+00 1.583586e+01 68850 1 520 4.293750e+00 4.084743e+00 1.616759e+01 70200 1 530 2.818750e+00 4.084740e+00 1.651633e+01 71550 1 540 4.668750e+00 4.084740e+00 1.686158e+01 72900 1 550 2.750000e+00 4.084740e+00 1.721251e+01 74250 1 560 4.100000e+00 4.084740e+00 1.757200e+01 75600 1 570 3.200000e+00 4.084738e+00 1.792469e+01 76950 1 580 3.525000e+00 4.084738e+00 1.826317e+01 78300 1 590 3.125000e+00 4.084738e+00 1.867175e+01 79650 1 600 4.875000e+00 4.084736e+00 1.903888e+01 81000 1 610 4.050000e+00 4.084736e+00 1.937920e+01 82350 1 620 4.750000e+00 4.084733e+00 1.975715e+01 83700 1 627 4.875000e+00 4.084733e+00 2.002381e+01 84645 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.002381e+01 total solves : 84645 best bound : 4.084733e+00 simulation ci : 4.072209e+00 ± 6.028297e-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 4.275000e+00 5.309330e+00 3.945701e-01 1350 1 20 3.031250e+00 4.739605e+00 1.086882e+00 2700 1 30 4.000000e+00 4.735300e+00 2.187573e+00 4050 1 40 3.812500e+00 4.056049e+00 3.685197e+00 5400 1 50 4.875000e+00 4.053441e+00 5.161608e+00 6750 1 60 4.000000e+00 4.049151e+00 6.855839e+00 8100 1 70 4.162500e+00 4.039926e+00 8.807519e+00 9450 1 80 4.281250e+00 4.039371e+00 1.129629e+01 10800 1 90 3.300000e+00 4.039328e+00 1.421358e+01 12150 1 100 2.862500e+00 4.039111e+00 1.725108e+01 13500 1 109 3.375000e+00 4.039057e+00 2.009680e+01 14715 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.009680e+01 total solves : 14715 best bound : 4.039057e+00 simulation ci : 4.064564e+00 ± 1.463905e-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 3.219176e+00 1.165102e+00 1.692983e+01 1680 1 20 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 106 running 0 of 1 From worker 5: From worker 5: signal (10): User defined signal 1 From worker 5: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 5: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 5: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 5: ijl_task_get_next at /source/src/scheduler.c:457 From worker 5: wait at ./task.jl:1200 From worker 5: wait_forever at ./task.jl:1137 From worker 5: jfptr_wait_forever_74938.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:3985 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:4198 From worker 5: jl_apply at /source/src/julia.h:2378 [inlined] From worker 5: start_task at /source/src/task.c:1253 From worker 5: unknown function (ip: (nil)) at (unknown file) From worker 5: From worker 5: ============================================================== From worker 5: Profile collected. A report will print at the next yield point From worker 5: ============================================================== From worker 5: 2.078810e+00 1.166281e+00 1.932027e+01 2560 1 30 3.973033e+00 1.166907e+00 2.242803e+01 3440 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 21 running 1 of 1 signal (10): User defined signal 1 _ZN24external_feasibilityjump21FeasibilityJumpSolver10resetMovesEj at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData15feasibilityJumpEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/QyCeQ/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/QyCeQ/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x73ae8553dea2) at (unknown file) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/Ue9wj/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/Ue9wj/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 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: 0x73ae84e86ccc) at (unknown file) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1334 [inlined] #226 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:861 [inlined] collect_to_with_first! at ./array.jl:839 [inlined] _collect at ./array.jl:833 collect_similar at ./array.jl:738 [inlined] map at ./abstractarray.jl:3386 [inlined] #_simulate#224 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#108 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 [inlined] 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:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 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 #master_loop##0 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: 0x73ae85545c01) at (unknown file) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 #train#91 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: 0x73ae845b7dff) at (unknown file) _jl_invoke at /source/src/gf.c:4001 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1962 [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: 0x73ae8551e6c2) at (unknown file) _jl_invoke at /source/src/gf.c:4001 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_73519.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_44071.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x73aeaf762249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== 40 From worker 4: ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1200 wait_forever at ./task.jl:1137 jfptr_wait_forever_74938.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 _ZN4llvm12SelectionDAG16getGlobalAddressEPKNS_11GlobalValueERKNS_5SDLocENS_3EVTElbj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) [21] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/sldp_example_one.jl:47 _ZNK4llvm17X86TargetLowering21LowerGlobalOrExternalENS_7SDValueERNS_12SelectionDAGEb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_120SelectionDAGLegalize10LegalizeOpEPN4llvm6SDNodeE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm12SelectionDAG8LegalizeEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16SelectionDAGISel17CodeGenAndEmitDAGEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16SelectionDAGISel20SelectAllBasicBlocksERKNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16SelectionDAGISel20runOnMachineFunctionERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm22SelectionDAGISelLegacy20runOnMachineFunctionERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm3orc14SimpleCompilerclERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZL9decomposePN4llvm5ValueERNS_15SmallVectorImplIN12_GLOBAL__N_111ConditionTyEEEbRKNS_10DataLayoutE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZNK12_GLOBAL__N_114ConstraintInfo13getConstraintEN4llvm7CmpInst9PredicateEPNS1_5ValueES5_RNS1_15SmallVectorImplIS5_EEb.constprop.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZNK12_GLOBAL__N_114ConstraintInfo23getConstraintForSolvingEN4llvm7CmpInst9PredicateEPNS1_5ValueES5_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZL14checkConditionN4llvm7CmpInst9PredicateEPNS_5ValueES3_PNS_11InstructionERN12_GLOBAL__N_114ConstraintInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZL20eliminateConstraintsRN4llvm8FunctionERNS_13DominatorTreeERNS_8LoopInfoERNS_15ScalarEvolutionERNS_25OptimizationRemarkEmitterE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm25ConstraintEliminationPass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) operator() at /source/src/jitlayers.cpp:1612 addModule at /source/src/jitlayers.cpp:2093 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:873 jl_compile_method_internal at /source/src/gf.c:3535 _jl_invoke at /source/src/gf.c:3993 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] jl_f_invoke_in_world at /source/src/builtins.c:896 ansi_write_ at ./strings/annotated_io.jl:216 [inlined] print at ./strings/annotated_io.jl:241 [inlined] print at ./strings/io.jl:46 println at ./strings/io.jl:77 [inlined] print_tree at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1249 tree at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1309 print_group at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:389 #print#5 at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:331 print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 _peek_report at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:94 jfptr__peek_report_4271.1 at /opt/julia/share/julia/compiled/v1.13/Profile/nGhxz_g5frP.so (unknown line) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] jl_f_invokelatest at /source/src/builtins.c:877 profile_printing_listener at ./Base.jl:336 #start_profile_listener##0 at ./Base.jl:354 jfptr_YY.start_profile_listenerYY.YY.0_3354.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 22279700 (Pool: 22279081; Big: 619); GC: 17 run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:791 operator() at /source/src/jitlayers.cpp:1510 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1471 [inlined] operator() at /source/src/jitlayers.cpp:1623 [inlined] addModule at /source/src/jitlayers.cpp:2080 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:873 jl_compile_method_internal at /source/src/gf.c:3535 _jl_invoke at /source/src/gf.c:3993 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] jl_f_invokelatest at /source/src/builtins.c:877 profile_printing_listener at ./Base.jl:336 #start_profile_listener##0 at ./Base.jl:354 jfptr_YY.start_profile_listenerYY.YY.0_3354.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3985 [inlined] ijl_apply_generic at /source/src/gf.c:4198 jl_apply at /source/src/julia.h:2378 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 596247493 (Pool: 596243633; Big: 3860); GC: 134 PkgEval terminated after 2780.57s: test duration exceeded the time limit