Package evaluation of SDDP on Julia 1.13.0-DEV.759 (3bb7518b04*) started at 2025-06-19T18:47:36.051 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.66s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed SDDP ─ v1.12.0 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 v1.10.17 [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 v1.6.0 [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 5.15s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 52.03s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_YB4qeQ/Project.toml` [87dc4568] HiGHS v1.18.1 [b6b21f68] Ipopt v1.10.6 [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.40.14 [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_YB4qeQ/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 Precompiling packages... 41585.8 ms ✓ HiGHS 1 dependency successfully precompiled in 42 seconds. 52 already precompiled. [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:391 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 3.421490e-01 4 1 3 0.000000e+00 0.000000e+00 8.040261e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.040261e-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 2.314711e-02 9 1 20 7.500000e+04 1.075000e+05 9.343102e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.343102e-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 1.147215e+00 12 1 10 2.500000e+00 3.361111e+01 1.176097e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.176097e+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 1.365709e-02 12 1 10 2.500000e+00 3.361111e+01 3.856611e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.856611e-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 1.182508e-02 46 1 50 0.000000e+00 1.191663e+02 5.285420e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.285420e-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 1.078415e-02 46 1 50 0.000000e+00 1.191663e+02 5.136130e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.136130e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl Precompiling packages... 54083.1 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 56 seconds. 73 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 4.189439e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.918521e+00 309 1 11S -8.368889e+01 -6.677644e+01 8.355549e+00 1133 1 13S -3.268889e+01 -6.677644e+01 9.564325e+00 1339 1 23S -3.268889e+01 -6.677644e+01 1.561016e+01 2369 1 31S -6.068889e+01 -6.677644e+01 2.063673e+01 3193 1 41S -6.068889e+01 -6.677644e+01 2.670780e+01 4223 1 51S -5.268889e+01 -6.677644e+01 3.278002e+01 5253 1 61S -6.068889e+01 -6.677644e+01 3.888500e+01 6283 1 71S -3.268889e+01 -6.677644e+01 4.499599e+01 7313 1 81S -6.468889e+01 -6.677644e+01 5.110725e+01 8343 1 91S -6.068889e+01 -6.677644e+01 5.728990e+01 9373 1 100 -8.368889e+01 -6.677644e+01 6.212743e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.212743e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1170 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl From worker 5: Precompiling packages... From worker 4: Precompiling packages... From worker 3: Precompiling packages... From worker 2: Precompiling packages... From worker 3: SDDP Being precompiled by another process (pid: 165, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 4: SDDP Being precompiled by another process (pid: 165, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 2: SDDP Being precompiled by another process (pid: 165, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: 33067.0 ms ✓ SDDP From worker 5: 1 dependency successfully precompiled in 39 seconds. 70 already precompiled. From worker 2: 33216.8 ms ✓ SDDP From worker 2: 1 dependency successfully precompiled in 40 seconds. 70 already precompiled. From worker 3: 33759.7 ms ✓ SDDP From worker 3: 1 dependency successfully precompiled in 40 seconds. 70 already precompiled. From worker 4: 34439.3 ms ✓ SDDP From worker 4: 1 dependency successfully precompiled in 41 seconds. 70 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.000000e+00 6.000000e+00 3.292244e+02 2 2 20 3.000000e+00 6.000000e+00 3.333000e+02 40 4 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.333000e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.000000e+00 ± 9.644022e-01 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/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 2.865880e-01 48 1 parallel_schemes.jl: Error During Test at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:13 Got exception outside of a @test LoadError: On worker 2: The index MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.GreaterThan{Float64}}(157) is invalid. Note that an index becomes invalid after it has been deleted. Stacktrace: [1] trap_error @ ~/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:203 [3] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::Int64, log_every_seconds::Float64, log_every_iteration::Bool, run_numerical_stability_report::Bool, stopping_rules::Vector{SDDP.IterationLimit}, risk_measure::SDDP.Expectation, root_node_risk_measure::SDDP.Expectation, sampling_scheme::SDDP.InSampleMonteCarlo, cut_type::SDDP.CutType, cycle_discretization_delta::Float64, refine_at_similar_nodes::Bool, cut_deletion_minimum::Int64, backward_sampling_scheme::SDDP.CompleteSampler, dashboard::Bool, parallel_scheme::SDDP.Asynchronous, forward_pass::SDDP.DefaultForwardPass, forward_pass_resampling_probability::Nothing, add_to_existing_cuts::Bool, duality_handler::SDDP.ContinuousConicDuality{Nothing}, forward_pass_callback::SDDP.var"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1295 [2] train @ ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] [3] test_async_solve() @ Main ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:176 [4] top-level scope @ ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:233 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [6] IncludeInto @ ./Base.jl:311 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [9] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/She2h/test/runtests.jl:14 [10] top-level scope @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:233 caused by: On worker 2: The index MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.GreaterThan{Float64}}(157) is invalid. Note that an index becomes invalid after it has been deleted. Stacktrace: [1] trap_error @ ~/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:203 [3] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:283 [4] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 [5] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 [6] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 Stacktrace: [1] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:465 [2] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [3] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [4] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [5] wait @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:586 [inlined] [6] _broadcast_getindex_evalf @ ./broadcast.jl:701 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:674 [inlined] [8] _getindex @ ./broadcast.jl:622 [inlined] [9] getindex @ ./broadcast.jl:618 [inlined] [10] macro expansion @ ./broadcast.jl:997 [inlined] [11] macro expansion @ ./simdloop.jl:77 [inlined] [12] copyto! @ ./broadcast.jl:996 [inlined] [13] copyto! @ ./broadcast.jl:949 [inlined] [14] copy @ ./broadcast.jl:921 [inlined] [15] materialize @ ./broadcast.jl:896 [inlined] [16] master_loop(async::SDDP.Asynchronous, model::SDDP.PolicyGraph{Int64}, options::SDDP.Options{Int64}) @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/parallel_schemes.jl:265 [17] train(model::SDDP.PolicyGraph{Int64}; iteration_limit::Nothing, time_limit::Nothing, print_level::Int64, log_file::String, log_frequency::Int64, log_every_seconds::Float64, log_every_iteration::Bool, run_numerical_stability_report::Bool, stopping_rules::Vector{SDDP.IterationLimit}, risk_measure::SDDP.Expectation, root_node_risk_measure::SDDP.Expectation, sampling_scheme::SDDP.InSampleMonteCarlo, cut_type::SDDP.CutType, cycle_discretization_delta::Float64, refine_at_similar_nodes::Bool, cut_deletion_minimum::Int64, backward_sampling_scheme::SDDP.CompleteSampler, dashboard::Bool, parallel_scheme::SDDP.Asynchronous, forward_pass::SDDP.DefaultForwardPass, forward_pass_resampling_probability::Nothing, add_to_existing_cuts::Bool, duality_handler::SDDP.ContinuousConicDuality{Nothing}, forward_pass_callback::SDDP.var"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1280 [18] train @ ~/.julia/packages/SDDP/She2h/src/algorithm.jl:1106 [inlined] [19] test_async_solve() @ Main ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:176 [20] top-level scope @ ~/.julia/packages/SDDP/She2h/test/plugins/parallel_schemes.jl:233 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] IncludeInto @ ./Base.jl:311 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:16 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [25] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/She2h/test/runtests.jl:14 [26] top-level scope @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [28] macro expansion @ ~/.julia/packages/SDDP/She2h/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [30] top-level scope @ none:6 [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [33] _start() @ Base ./client.jl:557 [ 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 4.055023e-03 4 1 50 0.000000e+00 0.000000e+00 2.062771e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.062771e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl Precompiling packages... 107902.2 ms ✓ Plots 21221.2 ms ✓ Plots → UnitfulExt 2 dependencies successfully precompiled in 130 seconds. 180 already precompiled. From worker 4: Precompiling packages... From worker 3: Precompiling packages... From worker 2: Precompiling packages... From worker 5: Precompiling packages... From worker 4: ColorSchemes Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.13/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 2: ColorSchemes Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.13/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 2: StatsBase Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.13/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 5: ColorSchemes Being precompiled by another process (pid: 161, pidfile: /home/pkgeval/.julia/compiled/v1.13/ColorSchemes/EO5fj_eJM3J.ji.pidfile) From worker 5: StatsBase Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.13/StatsBase/EZjIG_eJM3J.ji.pidfile) From worker 5: Fontconfig_jll Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/Fontconfig_jll/xsKJT_eJM3J.ji.pidfile) From worker 2: 5784.1 ms ✓ Fontconfig_jll From worker 5: 4673.1 ms ✓ Fontconfig_jll From worker 5: Qt6Base_jll Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/Qt6Base_jll/Lg7vK_eJM3J.ji.pidfile) From worker 5: 7123.8 ms ✓ Cairo_jll From worker 5: 7191.8 ms ✓ HarfBuzz_jll From worker 2: 15163.4 ms ✓ Qt6Base_jll From worker 4: 22197.8 ms ✓ StatsBase From worker 5: 7815.2 ms ✓ libass_jll From worker 2: 7878.1 ms ✓ Cairo_jll From worker 4: 7558.6 ms ✓ Fontconfig_jll From worker 3: 50252.1 ms ✓ ColorSchemes From worker 2: 8759.7 ms ✓ Qt6ShaderTools_jll From worker 2: 37693.8 ms ✓ StatsBase From worker 4: 8240.9 ms ✓ Qt6Base_jll From worker 5: 16771.8 ms ✓ Pango_jll From worker 5: 38969.1 ms ✓ Qt6Base_jll From worker 2: 7301.7 ms ✓ HarfBuzz_jll From worker 2: 61589.2 ms ✓ ColorSchemes From worker 5: 43835.9 ms ✓ StatsBase From worker 4: 7256.7 ms ✓ Cairo_jll From worker 4: 61861.2 ms ✓ ColorSchemes From worker 4: 7617.0 ms ✓ Qt6ShaderTools_jll From worker 3: 25632.8 ms ✓ StatsBase From worker 4: 6837.3 ms ✓ HarfBuzz_jll From worker 2: 15670.1 ms ✓ Qt6Declarative_jll From worker 3: 6380.0 ms ✓ Fontconfig_jll From worker 3: PlotUtils Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 2: 7066.8 ms ✓ libass_jll From worker 5: 23047.2 ms ? FFMPEG_jll From worker 5: 84676.7 ms ✓ ColorSchemes From worker 3: 7056.9 ms ✓ Qt6Base_jll From worker 3: 6423.1 ms ✓ Cairo_jll From worker 3: 5754.2 ms ✓ Qt6ShaderTools_jll From worker 2: 22598.4 ms ✓ Pango_jll From worker 2: PlotUtils Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 3: 6656.6 ms ✓ HarfBuzz_jll From worker 5: 27076.2 ms ✓ libdecor_jll From worker 3: 7901.8 ms ✓ Qt6Declarative_jll From worker 5: 8397.7 ms ✓ Qt6ShaderTools_jll From worker 3: 8231.6 ms ✓ libass_jll From worker 2: 17906.5 ms ✓ FFMPEG_jll From worker 3: 6921.5 ms ✓ Pango_jll From worker 2: 7129.6 ms ✓ libdecor_jll From worker 2: FFMPEG Being precompiled by another process (pid: 165, pidfile: /home/pkgeval/.julia/compiled/v1.13/FFMPEG/TGvga_eJM3J.ji.pidfile) From worker 5: 14975.6 ms ✓ FFMPEG From worker 5: PlotUtils Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotUtils/YveHG_eJM3J.ji.pidfile) From worker 5: GLFW_jll Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/GLFW_jll/IYB2C_eJM3J.ji.pidfile) From worker 3: 7673.5 ms ✓ FFMPEG_jll From worker 2: 7622.6 ms ✓ GLFW_jll From worker 2: 7711.5 ms ✓ FFMPEG From worker 5: 8355.4 ms ✓ Qt6Declarative_jll From worker 5: 8364.8 ms ✓ GLFW_jll From worker 5: GR_jll Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/GR_jll/jV9xf_eJM3J.ji.pidfile) From worker 3: 6717.2 ms ✓ libdecor_jll From worker 4: 69846.2 ms ✓ PlotUtils From worker 5: 12463.4 ms ✓ PlotUtils From worker 3: 6719.3 ms ✓ FFMPEG From worker 4: 8469.3 ms ✓ Qt6Declarative_jll From worker 2: 17554.0 ms ✓ GR_jll From worker 2: 50397.0 ms ✓ PlotUtils From worker 3: 8613.3 ms ✓ GLFW_jll From worker 3: 79044.3 ms ✓ PlotUtils From worker 4: 7164.2 ms ✓ libass_jll From worker 4: 7126.4 ms ✓ Pango_jll From worker 4: PlotThemes Being precompiled by another process (pid: 165, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 2: ✗ GR From worker 2: PlotThemes Being precompiled by another process (pid: 165, pidfile: /home/pkgeval/.julia/compiled/v1.13/PlotThemes/QxsMm_eJM3J.ji.pidfile) From worker 2: RecipesPipeline Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.13/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 5: 41751.1 ms ✓ PlotThemes From worker 5: RecipesPipeline Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.13/RecipesPipeline/QQIne_eJM3J.ji.pidfile) From worker 5: 45929.3 ms ✓ GR_jll From worker 2: 9616.8 ms ✓ PlotThemes From worker 3: 31605.4 ms ✓ GR_jll From worker 4: 36309.2 ms ✓ RecipesPipeline From worker 2: 25822.5 ms ✓ RecipesPipeline From worker 4: 8659.2 ms ✓ FFMPEG_jll From worker 5: 28457.0 ms ✓ GR From worker 5: 28490.3 ms ✓ RecipesPipeline From worker 5: Plots Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 4: 6827.0 ms ✓ libdecor_jll From worker 4: 51856.6 ms ✓ PlotThemes From worker 4: 5091.4 ms ✓ FFMPEG From worker 3: 36672.7 ms ✓ PlotThemes From worker 4: 5862.6 ms ✓ GLFW_jll From worker 4: 7277.7 ms ✓ GR_jll From worker 3: 31905.6 ms ✓ RecipesPipeline From worker 3: GR Being precompiled by another process (pid: 163, pidfile: /home/pkgeval/.julia/compiled/v1.13/GR/NDU5Y_eJM3J.ji.pidfile) From worker 4: 22701.8 ms ✓ GR From worker 4: Plots Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 3: 1271.9 ms ✓ GR From worker 3: Plots Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: 154227.3 ms ✓ Plots From worker 4: 334158.8 ms ✓ Plots From worker 4: UnitfulExt Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 5: 380054.3 ms ✓ Plots From worker 5: UnitfulExt Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 3: 337317.0 ms ✓ Plots From worker 3: UnitfulExt Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 2: 305717.3 ms ✓ Plots → UnitfulExt From worker 2: 20 dependencies successfully precompiled in 676 seconds. 161 already precompiled. From worker 3: 69345.9 ms ✓ Plots → UnitfulExt From worker 3: 21 dependencies successfully precompiled in 678 seconds. 161 already precompiled. From worker 5: 74371.3 ms ✓ Plots → UnitfulExt From worker 5: 20 dependencies successfully precompiled in 681 seconds. 161 already precompiled. From worker 5: 1 dependencies failed but may be precompilable after restarting julia From worker 5: 1 dependency had output during precompilation: From worker 5: ┌ FFMPEG_jll From worker 5: │ ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for libass_jll [0ac62f75-1d6f-5e53-bd7c-93b484bb37c0] From worker 5: │ │ exception = Required dependency Base.PkgId(Base.UUID("a3f928ae-7b40-5064-980b-68af3947d34b"), "Fontconfig_jll") failed to load from a cache file. From worker 5: │ └ @ Base loading.jl:2669 From worker 5: └ From worker 4: 80498.3 ms ✓ Plots → UnitfulExt From worker 4: 21 dependencies successfully precompiled in 685 seconds. 161 already precompiled. From worker 2: Precompiling packages... From worker 3: Precompiling packages... From worker 3: SpecialFunctionsExt Being precompiled by another process (pid: 157, pidfile: /home/pkgeval/.julia/compiled/v1.13/SpecialFunctionsExt/iWq2v_eJM3J.ji.pidfile) From worker 2: 6589.8 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 2: 1 dependency successfully precompiled in 7 seconds. 19 already precompiled. From worker 3: 1629.2 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 3: 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/She2h/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl: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 7.520649e+00 5 1 20 0.000000e+00 -1.000000e+01 8.223878e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.223878e+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 2.151608e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.886105e-02 92 1 15 -4.260000e+01 -2.396000e+01 3.746390e-02 132 1 20 -2.396000e+01 -2.396000e+01 4.614305e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.739999e-02 224 1 30 -5.320000e+00 -2.396000e+01 6.896091e-02 264 1 35 -2.396000e+01 -2.396000e+01 7.974100e-02 304 1 40 -2.396000e+01 -2.396000e+01 9.205198e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.205198e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 379ms / 21.3% 12.9MiB / 61.8% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 48.1ms 59.8% 1.20ms 5.87MiB 74.0% 150KiB solve_subproblem 160 25.0ms 31.0% 156μs 944KiB 11.6% 5.90KiB get_dual_solution 160 1.40ms 1.7% 8.78μs 190KiB 2.3% 1.19KiB prepare_backward_pass 160 54.1μs 0.1% 338ns 0.00B 0.0% 0.00B forward_pass 40 22.7ms 28.2% 567μs 1.78MiB 22.4% 45.5KiB solve_subproblem 120 20.7ms 25.8% 173μs 1.60MiB 20.2% 13.7KiB get_dual_solution 120 68.6μs 0.1% 572ns 13.1KiB 0.2% 112B sample_scenario 40 386μs 0.5% 9.66μs 24.2KiB 0.3% 620B calculate_bound 40 9.68ms 12.0% 242μs 289KiB 3.6% 7.24KiB get_dual_solution 40 35.1μs 0.0% 878ns 4.38KiB 0.1% 112B get_dual_solution 36 18.5μs 0.0% 514ns 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 5.851102e-02 52 1 10 -2.396000e+01 -2.396000e+01 6.806707e-02 92 1 15 -2.396000e+01 -2.396000e+01 7.973504e-02 132 1 20 -4.260000e+01 -2.396000e+01 9.264302e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.082931e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.251690e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.438220e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.650980e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.650980e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 176ms / 87.6% 15.5MiB / 94.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 114ms 73.9% 2.84ms 12.5MiB 85.8% 320KiB solve_subproblem 160 30.5ms 19.8% 191μs 950KiB 6.4% 5.94KiB get_dual_solution 160 1.55ms 1.0% 9.67μs 190KiB 1.3% 1.19KiB prepare_backward_pass 160 66.7μs 0.0% 417ns 0.00B 0.0% 0.00B forward_pass 40 27.3ms 17.7% 681μs 1.78MiB 12.2% 45.5KiB solve_subproblem 120 24.8ms 16.1% 207μs 1.60MiB 11.0% 13.7KiB get_dual_solution 120 104μs 0.1% 870ns 13.1KiB 0.1% 112B sample_scenario 40 530μs 0.3% 13.3μs 24.3KiB 0.2% 623B calculate_bound 40 12.9ms 8.4% 322μs 301KiB 2.0% 7.52KiB get_dual_solution 40 51.0μs 0.0% 1.28μs 4.38KiB 0.0% 112B get_dual_solution 36 28.5μs 0.0% 792ns 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 1.751990e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.774161e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.785400e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.795220e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.810250e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.821730e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.833482e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.844320e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.852400e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.860151e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.867650e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.879361e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.892190e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.902790e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.913280e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.924031e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.934891e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.956911e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.968091e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.977861e-01 104 1 21 -1.000000e+00 -2.000000e+00 1.995130e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.005081e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.014611e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.023861e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.033441e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.042930e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.052271e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.061911e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.072711e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.083972e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.095070e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.105901e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.117162e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.128520e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.140720e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.153351e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.173462e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.187052e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.200401e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.212951e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.212951e-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 2.586110e-01 51 1 25 1.560330e+02 2.260386e+02 1.304825e+00 4203 1 30 2.138334e+03 2.336430e+02 2.737559e+00 7674 1 38 8.025312e+02 2.352957e+02 3.988236e+00 10194 1 44 7.789968e+01 2.358255e+02 4.988560e+00 11772 1 54 1.830901e+02 2.360657e+02 6.104820e+00 13446 1 63 1.493193e+03 2.362190e+02 8.024582e+00 15909 1 71 1.519535e+02 2.362929e+02 9.115207e+00 17205 1 97 1.870302e+02 2.364036e+02 1.426765e+01 22527 1 100 4.969839e+02 2.364135e+02 1.576945e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.576945e+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 8.204710e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.095191e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.400238e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.686855e+00 5600 1 50 -4.167321e+00 -4.364999e+00 1.988948e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.326960e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.659679e+00 9800 1 80 -4.861568e+00 -4.353006e+00 2.976187e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.310837e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.639623e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.639623e+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 3.766470e-01 1050 1 20 -1.529197e+00 -1.471817e+00 4.475601e-01 1600 1 30 -1.410768e+00 -1.471408e+00 6.038051e-01 2650 1 40 -1.596461e+00 -1.471258e+00 6.835101e-01 3200 1 50 -1.002277e+00 -1.471216e+00 8.564520e-01 4250 1 60 -1.085156e+00 -1.471164e+00 9.450481e-01 4800 1 70 -1.391746e+00 -1.471164e+00 1.120198e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.209100e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.381813e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.479124e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.574913e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.688553e+00 9100 1 130 -1.271481e+00 -1.471075e+00 1.787955e+00 9650 1 140 -1.249746e+00 -1.471075e+00 1.891532e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.000089e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.116177e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.229164e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.362689e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.386259e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.386259e+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 2.237201e-02 54 1 20 3.336455e+05 3.402383e+05 3.583789e-02 104 1 30 3.993519e+05 3.403155e+05 4.826093e-02 158 1 40 3.337559e+05 3.403155e+05 5.980086e-02 208 1 48 3.337559e+05 3.403155e+05 7.009387e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.009387e-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 3.559685e-02 92 1 20 4.506600e+05 4.054833e+05 5.784488e-02 172 1 30 3.959476e+05 4.067125e+05 7.777691e-02 264 1 40 4.497721e+05 4.067125e+05 9.900284e-02 344 1 47 3.959476e+05 4.067125e+05 1.166968e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.166968e-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 6.611976e+00 14 1 40 2.308500e+03 4.074139e+03 7.476400e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.476400e+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 2.317571e+00 8 1 6L 4.000000e+04 6.250000e+04 3.353171e+00 60 1 16L 6.000000e+04 6.250000e+04 4.523073e+00 140 1 20 From worker 5: L From worker 5: ====================================================================================== From worker 5: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 5: ====================================================================================== From worker 5: From worker 5: cmd: /opt/julia/bin/julia 165 running 0 of 1 From worker 5: From worker 5: signal (10): User defined signal 1 From worker 5: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 5: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 5: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 5: ijl_task_get_next at /source/src/scheduler.c:457 From worker 5: wait at ./task.jl:1213 6.000000e+04 6.250000e+04 5.257151e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.257151e+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] From worker 5: wait_forever at ./task.jl:1150 ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- From worker 5: jfptr_wait_forever_36099.1 at /opt/julia/lib/julia/sys.so (unknown line) 1 From worker 5: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3892 From worker 5: jl_apply at /source/src/julia.h:2343 [inlined] From worker 5: start_task at /source/src/task.c:1249 From worker 5: unknown function (ip: (nil)) at (unknown file) 7.000000e+04 6.250000e+04 1.595902e-02 8 1 11 From worker 5: From worker 5: ============================================================== From worker 5: Profile collected. A report will print at the next yield point From worker 5: ============================================================== From worker 5: 4.000000e+04 6.250000e+04 1.027162e+00 100 1 18 6.000000e+04 6.250000e+04 2.082147e+00 156 1 20 4.000000e+04 6.250000e+04 2.335160e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.335160e+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 1.029599e-01 5 1 8 6.000000e+04 6.250000e+04 1.115090e+00 40 1 10 4.000000e+04 6.250000e+04 1.312161e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.312161e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] From worker 4: From worker 4: ====================================================================================== From worker 4: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 4: ====================================================================================== From worker 4: From worker 4: cmd: /opt/julia/bin/julia 163 running 0 of 1 From worker 4: From worker 4: signal (10): User defined signal 1 From worker 4: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 4: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 4: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 4: ijl_task_get_next at /source/src/scheduler.c:457 From worker 4: wait at ./task.jl:1213 From worker 4: wait_forever at ./task.jl:1150 From worker 4: jfptr_wait_forever_36099.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3892 From worker 4: jl_apply at /source/src/julia.h:2343 [inlined] From worker 4: start_task at /source/src/task.c:1249 From worker 4: unknown function (ip: (nil)) at (unknown file) From worker 4: From worker 4: ============================================================== From worker 4: Profile collected. A report will print at the next yield point From worker 4: ============================================================== From worker 4: ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 1.104825e+00 6 1 20L 9.000000e+00 9.000000e+00 1.489790e+00 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.489790e+00 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] From worker 3: From worker 3: ====================================================================================== From worker 3: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 3: ====================================================================================== From worker 3: From worker 3: cmd: /opt/julia/bin/julia 161 running 0 of 1 From worker 3: From worker 3: signal (10): User defined signal 1 From worker 3: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 3: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 3: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 3: ijl_task_get_next at /source/src/scheduler.c:457 From worker 3: wait at ./task.jl:1213 From worker 3: wait_forever at ./task.jl:1150 From worker 3: jfptr_wait_forever_36099.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 3: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 3: ijl_apply_generic at /source/src/gf.c:3892 From worker 3: jl_apply at /source/src/julia.h:2343 [inlined] From worker 3: start_task at /source/src/task.c:1249 From worker 3: unknown function (ip: (nil)) at (unknown file) From worker 3: From worker 3: ============================================================== From worker 3: Profile collected. A report will print at the next yield point From worker 3: ============================================================== From worker 3: ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 4.714839e+00 87 1 10 -1.109375e+01 2.605769e-01 4.782720e+00 142 1 15 3.105797e+00 5.434132e-01 4.861283e+00 197 1 20 -2.463349e+01 1.503415e+00 4.934358e+00 252 1 25 -1.421085e-14 1.514085e+00 5.001354e+00 307 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 17 running 1 of 1 signal (10): User defined signal 1 egal_types at /source/src/builtins.c:182 ijl_types_equal at /source/src/subtype.c:2325 jl_specializations_get_linfo_ at /source/src/gf.c:237 cache_method at /source/src/gf.c:1576 ml_matches at /source/src/gf.c:4772 ml_matches at /source/src/gf.c:4426 [inlined] ijl_matching_methods at /source/src/gf.c:2820 [inlined] ijl_matching_methods at /source/src/gf.c:2807 _methods_by_ftype at ./runtime_internals.jl:1470 [inlined] _findall at ./../usr/share/julia/Compiler/src/methodtable.jl:97 [inlined] #findall#5 at ./../usr/share/julia/Compiler/src/methodtable.jl:70 [inlined] findall at ./../usr/share/julia/Compiler/src/methodtable.jl:70 [inlined] #findall#7 at ./../usr/share/julia/Compiler/src/methodtable.jl:105 findall at ./../usr/share/julia/Compiler/src/methodtable.jl:102 [inlined] find_simple_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:386 #find_method_matches#134 at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:348 jfptr_YY.find_method_matchesYY.134_79335.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 tojlinvoke87385.1 at /opt/julia/lib/julia/sys.so (unknown line) j_YY.find_method_matchesYY.134_79333.1 at /opt/julia/lib/julia/sys.so (unknown line) 30 From worker 2: From worker 2: ====================================================================================== From worker 2: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 2: ====================================================================================== From worker 2: From worker 2: cmd: /opt/julia/bin/julia 157 running 0 of 1 From worker 2: From worker 2: signal (10): User defined signal 1 From worker 2: epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) From worker 2: uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 From worker 2: uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 From worker 2: ijl_task_get_next at /source/src/scheduler.c:457 From worker 2: wait at ./task.jl:1213 From worker 2: wait_forever at ./task.jl:1150 From worker 2: jfptr_wait_forever_36099.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 2: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 2: ijl_apply_generic at /source/src/gf.c:3892 From worker 2: jl_apply at /source/src/julia.h:2343 [inlined] From worker 2: start_task at /source/src/task.c:1249 From worker 2: unknown function (ip: (nil)) at (unknown file) From worker 2: From worker 2: ============================================================== From worker 2: Profile collected. A report will print at the next yield point From worker 2: ============================================================== From worker 2: 4.864000e+01 1.514085e+00 1.754800e+01 394 1 find_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:342 35 4.864000e+01 1.514085e+00 1.767327e+01 449 1 40 -8.870299e+00 1.514085e+00 1.778955e+01 504 1 abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:120 45 -1.428571e+00 1.514085e+00 1.792270e+01 559 1 48 -1.428571e+00 1.514085e+00 1.798776e+01 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.798776e+01 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2796 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2903 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2896 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3056 abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3074 abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3430 abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3819 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3776 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4325 jfptr_typeinf_local_84251.1 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 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4483 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1391 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1560 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1568 jfptr_typeinf_ext_toplevel_84209.1 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:2343 [inlined] jl_type_infer at /source/src/gf.c:461 jl_compile_method_internal at /source/src/gf.c:3199 _jl_invoke at /source/src/gf.c:3684 [inlined] ijl_apply_generic at /source/src/gf.c:3892 MappingRF at ./reduce.jl:98 [inlined] _foldl_impl at ./reduce.jl:56 unknown function (ip: 0x7ab6dc9f1f63) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 foldl_impl at ./reduce.jl:46 unknown function (ip: 0x7ab6dc9f18e3) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 mapfoldl_impl at ./reduce.jl:42 unknown function (ip: 0x7ab6dc9f1713) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #mapfoldl#270 at ./reduce.jl:173 unknown function (ip: 0x7ab6dc9f160e) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 mapfoldl at ./reduce.jl:173 unknown function (ip: 0x7ab6dc9f14fd) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 #mapreduce#274 at ./reduce.jl:305 unknown function (ip: 0x7ab6dc9f13ce) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 mapreduce at ./reduce.jl:305 unknown function (ip: 0x7ab6dc9f12bd) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 #sum#277 at ./reduce.jl:534 unknown function (ip: 0x7ab6dc9f1197) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 sum at ./reduce.jl:534 unknown function (ip: 0x7ab6dc9f1096) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 #sum#278 at ./reduce.jl:563 unknown function (ip: 0x7ab6dc9f0f83) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 sum at ./reduce.jl:563 unknown function (ip: 0x7ab6dc9f0e92) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 _compute_distance at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:367 unknown function (ip: 0x7ab6dc9f0d96) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 #_compute_distance##0 at ./none (unknown line) MappingRF at ./reduce.jl:98 unknown function (ip: 0x7ab6dc9f0c83) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 _foldl_impl at ./reduce.jl:56 unknown function (ip: 0x7ab6dc9f0493) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 foldl_impl at ./reduce.jl:46 unknown function (ip: 0x7ab6dc9efd83) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 mapfoldl_impl at ./reduce.jl:42 unknown function (ip: 0x7ab6dc9efc53) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #mapfoldl#270 at ./reduce.jl:173 unknown function (ip: 0x7ab6dc9efb4e) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 mapfoldl at ./reduce.jl:173 unknown function (ip: 0x7ab6dc9efa3d) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 #mapreduce#274 at ./reduce.jl:305 unknown function (ip: 0x7ab6dc9ef90e) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 mapreduce at ./reduce.jl:305 unknown function (ip: 0x7ab6dc9ef7fd) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 #sum#277 at ./reduce.jl:534 unknown function (ip: 0x7ab6dc9ef6d7) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 sum at ./reduce.jl:534 unknown function (ip: 0x7ab6dc9ef5d6) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 #sum#278 at ./reduce.jl:563 unknown function (ip: 0x7ab6dc9ef4c3) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 sum at ./reduce.jl:563 unknown function (ip: 0x7ab6dc9ef3d2) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 _compute_distance at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:367 unknown function (ip: 0x7ab6dc9ef2d6) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 convergence_test at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/stopping_rules.jl:413 _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 convergence_test at /home/pkgeval/.julia/packages/SDDP/She2h/src/plugins/headers.jl:92 iteration at /home/pkgeval/.julia/packages/SDDP/She2h/src/algorithm.jl:989 #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: 0x7ab6dc98a4c1) 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] asset_management_simple at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/asset_management_simple.jl:54 unknown function (ip: 0x7ab6dc9e9d7f) 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:2343 [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: 0x7ab6ddb3b902) 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:2343 [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_30481.1 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:2343 [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_68643.1 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:2343 [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: 0x7ab70bff2249) 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_36099.1 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:2343 [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 0x00007b533f490e20 Total snapshots: 1. Utilization: 0% ╎1 @Base/task.jl:1150 wait_forever() ╎ 1 @Base/task.jl:1213 wait() [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 [17] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/docs/src/examples/asset_management_stagewise.jl:74 wait at ./task.jl:1213 _ZN4llvm7CmpInst17makeCmpResultTypeEPNS_4TypeE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) unknown function (ip: 0xfffffffffffffffb) at (unknown file) unknown function (ip: (nil)) at (unknown file) Allocations: 461183495 (Pool: 460921966; Big: 261529); GC: 130 wait_forever at ./task.jl:1150 jfptr_wait_forever_36099.1 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:2343 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 21791615 (Pool: 21791013; Big: 602); GC: 17 PkgEval terminated after 2802.58s: test duration exceeded the time limit