Package evaluation of SDDP on Julia 1.13.0-DEV.733 (c0ecfe9bcc*) started at 2025-06-12T19:25:00.827 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.89s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed ConcurrentUtilities ── v2.5.0 Installed Bzip2_jll ──────────── v1.0.9+0 Installed CodecZlib ──────────── v0.7.8 Installed DiffResults ────────── v1.1.0 Installed MacroTools ─────────── v0.5.16 Installed URIs ───────────────── v1.5.2 Installed DataStructures ─────── v0.18.22 Installed ForwardDiff ────────── v1.0.1 Installed ExceptionUnwrapping ── v0.1.11 Installed Compat ─────────────── v4.16.0 Installed RecipesBase ────────── v1.3.4 Installed ExprTools ──────────── v0.1.10 Installed OrderedCollections ─── v1.8.1 Installed Statistics ─────────── v1.11.1 Installed TranscodingStreams ─── v0.11.3 Installed PrecompileTools ────── v1.3.2 Installed CommonSubexpressions ─ v0.3.1 Installed StaticArraysCore ───── v1.4.3 Installed IrrationalConstants ── v0.2.4 Installed TimerOutputs ───────── v0.5.29 Installed OpenSSL ────────────── v1.5.0 Installed MbedTLS ────────────── v1.1.9 Installed LoggingExtras ──────── v1.1.0 Installed OpenSpecFun_jll ────── v0.5.6+0 Installed NaNMath ────────────── v1.1.3 Installed CodecBzip2 ─────────── v0.8.5 Installed JSON3 ──────────────── v1.14.3 Installed LogExpFunctions ────── v0.3.29 Installed HTTP ───────────────── v1.10.16 Installed BitFlags ───────────── v0.1.9 Installed DiffRules ──────────── v1.15.1 Installed JSON ───────────────── v0.21.4 Installed Reexport ───────────── v1.2.2 Installed Parsers ────────────── v2.8.3 Installed SpecialFunctions ───── v2.5.1 Installed SimpleBufferStream ─── v1.2.0 Installed JLLWrappers ────────── v1.7.0 Installed MutableArithmetics ─── v1.6.4 Installed BenchmarkTools ─────── v1.6.0 Installed Preferences ────────── v1.4.3 Installed JuMP ───────────────── v1.26.0 Installed StructTypes ────────── v1.11.0 Installed MbedTLS_jll ────────── v2.28.6+2 Installed DocStringExtensions ── v0.9.5 Installed SDDP ───────────────── v1.12.0 Installed MathOptInterface ───── v1.41.0 Installing 3 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact Bzip2 503.5 KiB Installed artifact MbedTLS 2.1 MiB Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.12.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [cd3eb016] + HTTP v1.10.16 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.26.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.41.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.12.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.5.2 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 Installation completed after 8.41s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 5027.6 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 25 already precompiled. Precompiling package dependencies... Precompilation completed after 881.57s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_2DUhrZ/Project.toml` [87dc4568] HiGHS v1.18.0 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.13 [f4570300] SDDP v1.12.0 [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_2DUhrZ/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 v3.29.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:391 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 3.496249e-01 4 1 3 0.000000e+00 0.000000e+00 8.390849e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.390849e-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 2.550817e-02 9 1 20 7.500000e+04 1.075000e+05 7.656190e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.656190e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.132913e+00 12 1 10 2.500000e+00 3.361111e+01 1.158350e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.158350e+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 1.336384e-02 12 1 10 2.500000e+00 3.361111e+01 3.935289e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.935289e-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 1.016092e-02 46 1 50 0.000000e+00 1.191663e+02 5.068159e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.068159e-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 1.117897e-02 46 1 50 0.000000e+00 1.191663e+02 5.226569e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.226569e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- 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 4.019058e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.675351e+00 309 1 11S -8.368889e+01 -6.677644e+01 8.051335e+00 1133 1 13S -3.268889e+01 -6.677644e+01 9.244320e+00 1339 1 23S -3.268889e+01 -6.677644e+01 1.539546e+01 2369 1 31S -6.068889e+01 -6.677644e+01 2.042533e+01 3193 1 41S -6.068889e+01 -6.677644e+01 2.647212e+01 4223 1 51S -5.268889e+01 -6.677644e+01 3.254701e+01 5253 1 61S -6.068889e+01 -6.677644e+01 3.859241e+01 6283 1 71S -3.268889e+01 -6.677644e+01 4.479077e+01 7313 1 81S -6.468889e+01 -6.677644e+01 5.088868e+01 8343 1 91S -6.068889e+01 -6.677644e+01 5.715872e+01 9373 1 100 -8.368889e+01 -6.677644e+01 6.215155e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.215155e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- 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 3.340192e+02 2 3 20 7.000000e+00 6.000000e+00 3.380586e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.380586e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.100000e+00 ± 1.043935e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 2.823858e-01 48 1 20 9.000000e+00 6.000000e+00 5.744710e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.744710e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 5.313873e-03 4 1 50 0.000000e+00 0.000000e+00 2.747478e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.747478e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:730 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:730 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 6.923224e+00 5 1 20 0.000000e+00 -1.000000e+01 7.673880e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.673880e+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 2.054906e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.769518e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.555417e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.404521e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.571198e-02 224 1 30 -5.320000e+00 -2.396000e+01 6.615210e-02 264 1 35 -2.396000e+01 -2.396000e+01 7.811904e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.141517e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.141517e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 409ms / 19.9% 12.8MiB / 61.8% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 48.1ms 59.2% 1.20ms 5.87MiB 74.0% 150KiB solve_subproblem 160 25.4ms 31.3% 159μs 944KiB 11.6% 5.90KiB get_dual_solution 160 1.29ms 1.6% 8.06μs 190KiB 2.3% 1.19KiB prepare_backward_pass 160 58.2μs 0.1% 364ns 0.00B 0.0% 0.00B forward_pass 40 23.1ms 28.4% 577μs 1.78MiB 22.4% 45.5KiB solve_subproblem 120 21.0ms 25.9% 175μs 1.60MiB 20.2% 13.7KiB get_dual_solution 120 81.2μs 0.1% 676ns 13.1KiB 0.2% 112B sample_scenario 40 396μs 0.5% 9.91μs 24.2KiB 0.3% 620B calculate_bound 40 10.0ms 12.3% 251μs 289KiB 3.6% 7.24KiB get_dual_solution 40 35.3μs 0.0% 882ns 4.38KiB 0.1% 112B get_dual_solution 36 24.2μs 0.0% 673ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 5.688095e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.490397e-02 92 1 15 -2.396000e+01 -2.396000e+01 7.472992e-02 132 1 20 -4.260000e+01 -2.396000e+01 8.688498e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.027608e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.181579e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.340449e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.518788e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.518788e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 161ms / 86.8% 15.3MiB / 94.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 106ms 75.8% 2.65ms 12.3MiB 85.5% 314KiB solve_subproblem 160 25.4ms 18.2% 159μs 950KiB 6.5% 5.94KiB get_dual_solution 160 1.30ms 0.9% 8.14μs 190KiB 1.3% 1.19KiB prepare_backward_pass 160 65.3μs 0.0% 408ns 0.00B 0.0% 0.00B forward_pass 40 23.1ms 16.5% 577μs 1.78MiB 12.4% 45.5KiB solve_subproblem 120 21.0ms 15.0% 175μs 1.60MiB 11.2% 13.7KiB get_dual_solution 120 82.9μs 0.1% 691ns 13.1KiB 0.1% 112B sample_scenario 40 390μs 0.3% 9.75μs 24.3KiB 0.2% 623B calculate_bound 40 10.7ms 7.7% 268μs 301KiB 2.0% 7.52KiB get_dual_solution 40 41.3μs 0.0% 1.03μs 4.38KiB 0.0% 112B get_dual_solution 36 25.6μs 0.0% 711ns 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 1.817210e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.846030e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.856201e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.864161e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.875601e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.882892e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.891611e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.901820e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.921000e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.933711e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.942010e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.952460e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.970141e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.980381e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.990931e-01 79 1 16 -1.000000e+00 -2.000000e+00 2.006941e-01 84 1 17 -3.000000e+00 -2.000000e+00 2.015741e-01 89 1 18 -3.000000e+00 -2.000000e+00 2.025142e-01 94 1 19 -1.000000e+00 -2.000000e+00 2.036090e-01 99 1 20 -3.000000e+00 -2.000000e+00 2.054322e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.075291e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.085781e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.100530e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.111471e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.123780e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.143521e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.156441e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.170570e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.185621e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.198761e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.220020e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.233121e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.245901e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.263820e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.275031e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.287512e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.307160e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.323141e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.336872e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.348750e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.348750e-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 2.743630e-01 51 1 25 1.560330e+02 2.260386e+02 1.289318e+00 4203 1 30 2.138334e+03 2.336430e+02 2.309808e+00 7674 1 40 3.794270e+02 2.354624e+02 3.444607e+00 10656 1 50 1.455015e+02 2.359778e+02 4.479740e+00 12630 1 62 7.246927e+01 2.361744e+02 5.492502e+00 14334 1 63 1.493193e+03 2.362190e+02 6.626973e+00 15909 1 71 1.519535e+02 2.362929e+02 7.680155e+00 17205 1 75 6.724519e+02 2.363362e+02 8.726135e+00 18477 1 80 4.435098e+02 2.363598e+02 9.794597e+00 19644 1 100 4.969839e+02 2.364135e+02 1.394846e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.394846e+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 8.096662e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.074383e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.355550e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.641332e+00 5600 1 50 -4.167321e+00 -4.364999e+00 1.937295e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.242711e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.545579e+00 9800 1 80 -4.861568e+00 -4.353006e+00 2.865585e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.304466e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.621214e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.621214e+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 4.464190e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.378120e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.375131e-01 2650 1 40 -1.596461e+00 -1.471258e+00 8.382819e-01 3200 1 50 -1.002277e+00 -1.471216e+00 1.030567e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.121026e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.312634e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.409576e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.608843e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.714501e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.818346e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.925591e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.029665e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.141458e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.254710e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.382782e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.500728e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.618760e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.641998e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.641998e+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 2.187800e-02 54 1 20 3.336455e+05 3.402383e+05 3.419614e-02 104 1 30 3.993519e+05 3.403155e+05 4.528999e-02 158 1 40 3.337559e+05 3.403155e+05 5.545497e-02 208 1 48 3.337559e+05 3.403155e+05 6.539202e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.539202e-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 3.432798e-02 92 1 20 4.506600e+05 4.054833e+05 5.660415e-02 172 1 30 3.959476e+05 4.067125e+05 7.738209e-02 264 1 40 4.497721e+05 4.067125e+05 9.627914e-02 344 1 47 3.959476e+05 4.067125e+05 1.120620e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.120620e-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 6.501919e+00 14 1 40 2.308500e+03 4.074139e+03 7.368913e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.368913e+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 2.489818e+00 8 1 6L 4.000000e+04 6.250000e+04 3.538018e+00 60 1 16L 6.000000e+04 6.250000e+04 4.726006e+00 140 1 20L 6.000000e+04 6.250000e+04 5.466906e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.466906e+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 1.446795e-02 8 1 15 5.500000e+04 6.250000e+04 1.034565e+00 132 1 20 4.000000e+04 6.250000e+04 1.358665e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.358665e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 6.230116e-02 5 1 10 4.000000e+04 6.250000e+04 7.452731e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.452731e-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 3.194931e-01 6 1 20L 9.000000e+00 9.000000e+00 4.225399e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.225399e-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 1.111484e+00 87 1 10 -1.109375e+01 2.605769e-01 1.124416e+00 142 1 15 3.105797e+00 5.434132e-01 1.138585e+00 197 1 20 -2.463349e+01 1.503415e+00 1.155131e+00 252 1 25 -1.421085e-14 1.514085e+00 1.170663e+00 307 1 30 4.864000e+01 1.514085e+00 3.376218e+00 394 1 35 4.864000e+01 1.514085e+00 3.391550e+00 449 1 40 -8.870299e+00 1.514085e+00 3.407689e+00 504 1 45 -1.428571e+00 1.514085e+00 3.423839e+00 559 1 48 -1.428571e+00 1.514085e+00 3.435433e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.435433e+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 1.896557e+00 278 1 20 1.440356e+01 1.278425e+00 1.942825e+00 428 1 30 8.388546e+00 1.278425e+00 2.028758e+00 706 1 40 6.666667e-03 1.278410e+00 2.257743e+00 856 1 50 -5.614035e+00 1.278410e+00 2.900155e+00 1134 1 60 1.426676e+01 1.278410e+00 2.945679e+00 1284 1 64 1.261296e+01 1.278410e+00 2.965595e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.965595e+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 8.992100e-02 278 1 20 1.111084e+01 1.278410e+00 1.405351e-01 428 1 30 2.293779e+01 1.278410e+00 2.255182e-01 706 1 40 1.426676e+01 1.278410e+00 3.067992e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.067992e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 6.172007e+00 900 1 20 6.374753e+00 1.361934e+01 6.549630e+00 1720 1 30 2.848217e+01 1.624016e+01 7.444303e+00 3036 1 40 1.973944e+01 1.776547e+01 8.629292e+00 4192 1 50 4.000000e+00 1.889360e+01 9.460559e+00 5020 1 60 1.142478e+01 1.907862e+01 1.033510e+01 5808 1 70 9.386421e+00 1.961295e+01 1.125509e+01 6540 1 80 5.667851e+01 1.890911e+01 1.206532e+01 7088 1 90 3.740597e+01 1.993139e+01 1.377674e+01 8180 1 100 9.867183e+00 2.001688e+01 1.452965e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.452965e+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 3.061480e+00 36 1 10 0.000000e+00 0.000000e+00 3.110814e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.110814e+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 8.008003e-03 407 1 10 2.850000e+02 5.728212e+02 7.059598e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.059598e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 7.560015e-03 778 1 10 2.825000e+02 3.465177e+02 7.223511e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.223511e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 8.115053e-03 1149 1 10 2.587500e+02 2.052799e+02 7.488298e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.488298e-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 1.033902e-02 1520 1 10 2.875000e+02 4.661908e+02 8.716702e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.716702e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 8.944035e-03 1891 1 10 1.000000e+02 1.129771e+02 1.573880e-01 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.573880e-01 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 9.215832e-03 2262 1 10 1.625000e+02 2.794553e+02 8.471894e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.471894e-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 9.703875e-03 2633 1 10 5.487500e+02 4.077574e+02 8.780384e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.780384e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 1.034689e-02 3004 1 10 6.771875e+02 5.210100e+02 9.160089e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.160089e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 8.458853e-03 3375 1 10 5.312500e+01 5.938345e+01 7.475305e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.475305e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.300434e+00 235 1 10 1.000000e+01 9.159200e+00 1.778502e+00 310 1 15 1.000000e+01 9.159200e+00 2.341534e+00 385 1 20 1.000000e+01 9.159200e+00 2.858432e+00 460 1 25 1.000000e+01 9.159200e+00 5.799473e+00 695 1 30 4.000000e+00 9.159200e+00 6.281022e+00 770 1 35 1.000000e+01 9.159200e+00 6.690465e+00 845 1 40 1.000000e+01 9.159200e+00 7.208367e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.208367e+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 1.208133e+00 510 1 20 1.000000e+01 6.834387e+00 2.881129e+00 720 1 30 7.000000e+00 6.834387e+00 6.908035e+00 1230 1 40 1.000000e+01 6.823805e+00 8.609723e+00 1440 1 50 3.000000e+00 6.823805e+00 1.282668e+01 1950 1 60 2.000000e+00 6.823805e+00 1.459907e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.459907e+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 1.419484e+01 920 1 20 6.049875e+06 2.075240e+06 1.709408e+01 1340 1 30 5.496647e+05 2.078257e+06 3.052411e+01 2260 1 40 3.985383e+04 2.078257e+06 3.348137e+01 2680 1 50 2.994548e+05 2.078257e+06 4.712505e+01 3600 1 60 3.799457e+06 2.078257e+06 5.002812e+01 4020 1 61 3.549665e+06 2.078257e+06 5.031742e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.031742e+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 3.468509e+01 920 1 20L 2.799668e+06 2.079457e+06 5.698174e+01 1340 1 30L 3.799443e+06 2.079457e+06 9.068472e+01 2260 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1054 running 1 of 1 signal (10): User defined signal 1 unknown function (ip: 0x711304ad9193) at /lib/x86_64-linux-gnu/libc.so.6 unknown function (ip: 0x711304ae0c7d) at /lib/x86_64-linux-gnu/libc.so.6 _ZN15HighsSplitDeque10WorkerBunk11publishWorkEPS_ at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData30startAnalyticCenterComputationERKN5highs8parallel9TaskGroupE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN18HighsMipSolverData16evaluateRootNodeEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN14HighsMipSolver3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs12callSolveMipEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/8RMHm/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/8RMHm/src/MOI_wrapper.jl:2220 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/8RMHm/src/MOI_wrapper.jl:2220 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/eRhCr/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/eRhCr/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7112dd153f82) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #optimize!#95 at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/LKjRR/src/optimizer_interface.jl:560 [inlined] _solve_primal_problem at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/duality_handlers.jl:317 #get_dual_solution##2 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/duality_handlers.jl:291 minimize at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/local_improvement_search.jl:73 get_dual_solution at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/duality_handlers.jl:289 #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:525 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:481 unknown function (ip: 0x7112d73c27af) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 solve_all_children at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:821 unknown function (ip: 0x7112d73bfb98) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 backward_pass at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:665 unknown function (ip: 0x7112dd169fd8) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:959 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7112dd1562a1) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #train#91 at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 train at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] generation_expansion at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/generation_expansion.jl:87 unknown function (ip: 0x7112d6f77cb2) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [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:2846 _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 _include at ./loading.jl:2906 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:10 unknown function (ip: 0x7112dd12f432) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [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:2846 _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 _include at ./loading.jl:2906 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_63572.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [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:290 _start at ./client.jl:557 jfptr__start_70077.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [inlined] true_main at /source/src/jlapi.c:964 jl_repl_entrypoint at /source/src/jlapi.c:1132 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x711304a7a249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_69660.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000758ac3d772b0 Total snapshots: 377. Utilization: 0% ╎377 @Base/task.jl:1150 wait_forever() 376╎ 377 @Base/task.jl:1213 wait() 40 [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 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 [1054] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/generation_expansion.jl:93 wait at ./task.jl:1213 _ZNK4llvm12DenseMapBaseINS_8DenseMapIPKNS_5ValueENS_13MDAttachmentsENS_12DenseMapInfoIS4_vEENS_6detail12DenseMapPairIS4_S5_EEEES4_S5_S7_SA_E2atES4_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZNK4llvm8Function13getSubprogramEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) wait_forever at ./task.jl:1150 jfptr_wait_forever_69660.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 22451414 (Pool: 22450763; Big: 651); GC: 23 _ZN12_GLOBAL__N_18Verifier13visitCallBaseERN4llvm8CallBaseE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_18Verifier13visitCallInstERN4llvm8CallInstE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_18Verifier6verifyERKN4llvm8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14verifyFunctionERKNS_8FunctionEPNS_11raw_ostreamE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) verifyLLVMIR at /source/src/pipeline.cpp:898 runOnLoop at /source/src/llvm-julia-licm.cpp:356 run at /source/src/llvm-julia-licm.cpp:381 run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE13runSinglePassIS1_St10unique_ptrINS_6detail11PassConceptIS1_S5_JS4_S7_EEESt14default_deleteISD_EEEESt8optionalINS_17PreservedAnalysesEERT_RT0_RS5_S4_S7_RNS_19PassInstrumentationE.isra.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE24runWithoutLoopNestPassesERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE3runERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm25FunctionToLoopPassAdaptor3runERNS_8FunctionERNS_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_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:1475 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:1436 [inlined] operator() at /source/src/jitlayers.cpp:1588 [inlined] addModule at /source/src/jitlayers.cpp:2045 jl_compile_codeinst_now at /source/src/jitlayers.cpp:649 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:840 jl_compile_method_internal at /source/src/gf.c:3212 _jl_invoke at /source/src/gf.c:3684 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [inlined] jl_f_invokelatest at /source/src/builtins.c:877 profile_printing_listener at ./Base.jl:337 #start_profile_listener##0 at ./Base.jl:355 jfptr_YY.start_profile_listenerYY.YY.0_15153.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 478677423 (Pool: 478415756; Big: 261667); GC: 113 PkgEval terminated after 2744.04s: test duration exceeded the time limit