Package evaluation of SDDP on Julia 1.13.0-DEV.843 (7634fdf1d6*) started at 2025-07-10T18:45:49.342 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.66s ################################################################################ # Installation # Installing SDDP... Resolving package versions... 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 v4.17.0 [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 v1.42.0 [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 v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [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 v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 4.09s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... 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Testing Running tests... [ Info: Experimental.jl Precompiling packages... 45364.8 ms ✓ HiGHS 1 dependency successfully precompiled in 47 seconds. 52 already precompiled. Precompiling packages... 1924.6 ms ✓ JSONSchema 1 dependency successfully precompiled in 2 seconds. 23 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 3.756261e-01 4 1 3 0.000000e+00 0.000000e+00 8.845150e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.845150e-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 2.134013e-02 9 1 20 7.500000e+04 1.075000e+05 6.948531e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.948531e-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 1.170800e+00 12 1 10 2.500000e+00 3.361111e+01 1.200694e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.200694e+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 1.253796e-02 12 1 10 2.500000e+00 3.361111e+01 3.440309e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.440309e-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 1.031303e-02 46 1 50 0.000000e+00 1.191663e+02 5.121870e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.121870e-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 1.077104e-02 46 1 50 0.000000e+00 1.191663e+02 5.165060e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.165060e-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... 1677.5 ms ✓ MUMPS_seq_jll 1665.6 ms ✓ SPRAL_jll 1513.9 ms ✓ ASL_jll 1657.0 ms ✓ Ipopt_jll 1540.8 ms ✓ Ipopt 5 dependencies successfully precompiled in 8 seconds. 32 already precompiled. Precompiling packages... 52543.6 ms ✓ Ipopt → IpoptMathOptInterfaceExt 1 dependency successfully precompiled in 53 seconds. 74 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 3.998409e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.585811e+00 309 1 11S -8.368889e+01 -6.677644e+01 7.938972e+00 1133 1 13S -3.268889e+01 -6.677644e+01 9.074130e+00 1339 1 23S -3.268889e+01 -6.677644e+01 1.497599e+01 2369 1 33S -8.368889e+01 -6.677644e+01 2.112856e+01 3399 1 43S -8.368889e+01 -6.677644e+01 2.703740e+01 4429 1 53S -4.868889e+01 -6.677644e+01 3.273166e+01 5459 1 63S -8.068889e+01 -6.677644e+01 3.868209e+01 6489 1 73S -7.168889e+01 -6.677644e+01 4.462059e+01 7519 1 83S -7.168889e+01 -6.677644e+01 5.054513e+01 8549 1 93S -6.068889e+01 -6.677644e+01 5.662436e+01 9579 1 100 -8.368889e+01 -6.677644e+01 6.022543e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.022543e+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 3: Precompiling packages... From worker 2: Precompiling packages... From worker 4: Precompiling packages... From worker 5: Precompiling packages... From worker 2: HTTP Being precompiled by another process (pid: 183, pidfile: /home/pkgeval/.julia/compiled/v1.13/HTTP/zXWya_eJM3J.ji.pidfile) From worker 5: HTTP Being precompiled by another process (pid: 183, pidfile: /home/pkgeval/.julia/compiled/v1.13/HTTP/zXWya_eJM3J.ji.pidfile) From worker 4: HTTP Being precompiled by another process (pid: 183, pidfile: /home/pkgeval/.julia/compiled/v1.13/HTTP/zXWya_eJM3J.ji.pidfile) From worker 3: 26590.6 ms ✓ HTTP From worker 2: 26666.2 ms ✓ HTTP From worker 2: SDDP Being precompiled by another process (pid: 183, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 4: 26839.6 ms ✓ HTTP From worker 4: SDDP Being precompiled by another process (pid: 183, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 5: 27036.6 ms ✓ HTTP From worker 5: SDDP Being precompiled by another process (pid: 183, pidfile: /home/pkgeval/.julia/compiled/v1.13/SDDP/rTTnU_eJM3J.ji.pidfile) From worker 3: 30895.7 ms ✓ SDDP From worker 3: 2 dependencies successfully precompiled in 63 seconds. 69 already precompiled. From worker 3: 1 dependency had output during precompilation: From worker 3: ┌ HTTP From worker 3: │ ┌ Info: Ignoring an error that occurred during the precompilation workload From worker 3: │ │ exception = From worker 3: │ │ HTTP.ConnectError for url = `https://localhost:57813`: IOError: connect: connection refused (ECONNREFUSED) From worker 3: │ │ Stacktrace: From worker 3: │ │ [1] getconnection(::Type{Sockets.TCPSocket}, host::SubString{String}, port::SubString{String}; keepalive::Bool, readtimeout::Int64, kw::@Kwargs{require_ssl_verification::Bool, iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 3: │ │ @ HTTP.Connections ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:531 From worker 3: │ │ [2] getconnection From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:508 [inlined] From worker 3: │ │ [3] getconnection(::Type{OpenSSL.SSLStream}, host::SubString{String}, port::SubString{String}; kw::@Kwargs{require_ssl_verification::Bool, keepalive::Bool, readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 3: │ │ @ HTTP.Connections ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:585 From worker 3: │ │ [4] getconnection From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:578 [inlined] From worker 3: │ │ [5] #13 From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/Connections.jl:467 [inlined] From worker 3: │ │ [6] macro expansion From worker 3: │ │ @ ~/.julia/packages/ConcurrentUtilities/ofY4K/src/try_with_timeout.jl:92 [inlined] From worker 3: │ │ [7] (::ConcurrentUtilities.var"#try_with_timeout##2#try_with_timeout##3"{Any, Channel{Any}, HTTP.Connections.var"#13#14"{OpenSSL.SSLStream, Bool, Bool, @Kwargs{readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}, SubString{String}, SubString{String}}, Timer})() From worker 3: │ │ @ ConcurrentUtilities ~/.julia/packages/ConcurrentUtilities/ofY4K/src/ConcurrentUtilities.jl:10 From worker 3: │ │ Stacktrace: From worker 3: │ │ [1] (::HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}})(req::HTTP.Messages.Request; proxy::Nothing, socket_type::Type, socket_type_tls::Nothing, readtimeout::Int64, connect_timeout::Int64, logerrors::Bool, logtag::Nothing, closeimmediately::Bool, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 3: │ │ @ HTTP.ConnectionRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/ConnectionRequest.jl:88 From worker 3: │ │ [2] connections From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/ConnectionRequest.jl:60 [inlined] From worker 3: │ │ [3] (::Base.var"#47#48"{Base.var"#49#50"{ExponentialBackOff, HTTP.RetryRequest.var"#retrylayer##2#retrylayer##3"{Int64, typeof(HTTP.RetryRequest.FALSE), HTTP.Messages.Request, Base.RefValue{Int64}}, HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(args::HTTP.Messages.Request; kwargs::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 3: │ │ @ Base ./error.jl:323 From worker 3: │ │ [4] (::HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(req::HTTP.Messages.Request; retry::Bool, retries::Int64, retry_delays::ExponentialBackOff, retry_check::Function, retry_non_idempotent::Bool, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 3: │ │ @ HTTP.RetryRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RetryRequest.jl:75 From worker 3: │ │ [5] manageretries From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RetryRequest.jl:30 [inlined] From worker 3: │ │ [6] (::HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}})(req::HTTP.Messages.Request; cookies::Bool, cookiejar::HTTP.Cookies.CookieJar, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 3: │ │ @ HTTP.CookieRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/CookieRequest.jl:42 From worker 3: │ │ [7] managecookies From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/CookieRequest.jl:19 [inlined] From worker 3: │ │ [8] (::HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}})(req::HTTP.Messages.Request; iofunction::Nothing, decompress::Nothing, basicauth::Bool, detect_content_type::Bool, canonicalize_headers::Bool, kw::@Kwargs{verbose::Int64}) From worker 3: │ │ @ HTTP.HeadersRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/HeadersRequest.jl:71 From worker 3: │ │ [9] defaultheaders From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/HeadersRequest.jl:14 [inlined] From worker 3: │ │ [10] (::HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}})(req::HTTP.Messages.Request; redirect::Bool, redirect_limit::Int64, redirect_method::Nothing, forwardheaders::Bool, response_stream::Nothing, kw::@Kwargs{verbose::Int64}) From worker 3: │ │ @ HTTP.RedirectRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RedirectRequest.jl:25 From worker 3: │ │ [11] redirects From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RedirectRequest.jl:14 [inlined] From worker 3: │ │ [12] (::HTTP.MessageRequest.var"#makerequest#messagelayer##0"{HTTP.MessageRequest.var"#makerequest#1#messagelayer##1"{HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}}}})(method::String, url::URIs.URI, headers::Nothing, body::Vector{UInt8}; copyheaders::Bool, response_stream::Nothing, http_version::HTTP.Strings.HTTPVersion, verbose::Int64, kw::@Kwargs{}) From worker 3: │ │ @ HTTP.MessageRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/MessageRequest.jl:35 From worker 3: │ │ [13] makerequest From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/MessageRequest.jl:24 [inlined] From worker 3: │ │ [14] request(stack::HTTP.MessageRequest.var"#makerequest#messagelayer##0"{HTTP.MessageRequest.var"#makerequest#1#messagelayer##1"{HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}}}}, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing; headers::Nothing, body::Vector{UInt8}, query::Nothing, kw::@Kwargs{}) From worker 3: │ │ @ HTTP ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:457 From worker 3: │ │ [15] request(stack::Function, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing) From worker 3: │ │ @ HTTP ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:455 From worker 3: │ │ [16] #request#21 From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:315 [inlined] From worker 3: │ │ [17] request (repeats 2 times) From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:313 [inlined] From worker 3: │ │ [18] get From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:518 [inlined] From worker 3: │ │ [19] #51 From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:36 [inlined] From worker 3: │ │ [20] withenv(::HTTP.var"#51#52"{String}, ::Pair{String, Union{Nothing, String}}, ::Vararg{Pair{String, Union{Nothing, String}}}) From worker 3: │ │ @ Base ./env.jl:265 From worker 3: │ │ [21] macro expansion From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:35 [inlined] From worker 3: │ │ [22] macro expansion From worker 3: │ │ @ ~/.julia/packages/PrecompileTools/Z8SWe/src/workloads.jl:73 [inlined] From worker 3: │ │ [23] macro expansion From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:34 [inlined] From worker 3: │ │ [24] macro expansion From worker 3: │ │ @ ~/.julia/packages/PrecompileTools/Z8SWe/src/workloads.jl:121 [inlined] From worker 3: │ │ [25] top-level scope From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:4 From worker 3: │ │ [26] include(mapexpr::Function, mod::Module, _path::String) From worker 3: │ │ @ Base ./Base.jl:310 From worker 3: │ │ [27] top-level scope From worker 3: │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:643 From worker 3: │ │ [28] include(mod::Module, _path::String) From worker 3: │ │ @ Base ./Base.jl:309 From worker 3: │ │ [29] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) From worker 3: │ │ @ Base ./loading.jl:3002 From worker 3: │ │ [30] top-level scope From worker 3: │ │ @ stdin:5 From worker 3: │ │ [31] eval(m::Module, e::Any) From worker 3: │ │ @ Core ./boot.jl:489 From worker 3: │ │ [32] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) From worker 3: │ │ @ Base ./loading.jl:2848 From worker 3: │ │ [33] include_string From worker 3: │ │ @ ./loading.jl:2858 [inlined] From worker 3: │ │ [34] exec_options(opts::Base.JLOptions) From worker 3: │ │ @ Base ./client.jl:318 From worker 3: │ │ [35] _start() From worker 3: │ └ @ Base ./client.jl:553 From worker 3: └ From worker 2: 31165.0 ms ✓ SDDP From worker 2: 2 dependencies successfully precompiled in 64 seconds. 69 already precompiled. From worker 5: 31421.2 ms ✓ SDDP From worker 5: 2 dependencies successfully precompiled in 65 seconds. 69 already precompiled. From worker 4: 32397.6 ms ✓ SDDP From worker 4: 2 dependencies successfully precompiled in 65 seconds. 69 already precompiled. ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+00 6.000000e+00 3.335593e+02 2 2 20 7.000000e+00 6.000000e+00 3.386563e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.386563e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.800000e+00 ± 8.719131e-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 3.329308e-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:1855 [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:1855 [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:286 [17] _start() @ Base ./client.jl:553 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:1855 [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:1855 [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:286 [33] _start() @ Base ./client.jl:553 [ 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 4.498005e-03 4 1 50 0.000000e+00 0.000000e+00 2.640040e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.640040e-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... 6114.9 ms ✓ StatsBase 107319.4 ms ✓ Plots 20118.1 ms ✓ Plots → UnitfulExt 3 dependencies successfully precompiled in 137 seconds. 177 already precompiled. Precompiling packages... 1911.9 ms ✓ ColorVectorSpace → SpecialFunctionsExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. From worker 4: Precompiling packages... From worker 5: Precompiling packages... From worker 2: Precompiling packages... From worker 3: Precompiling packages... From worker 4: Plots Being precompiled by another process (pid: 186, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 2: Plots Being precompiled by another process (pid: 186, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 3: Plots Being precompiled by another process (pid: 186, pidfile: /home/pkgeval/.julia/compiled/v1.13/Plots/ld3vC_eJM3J.ji.pidfile) From worker 5: 124308.1 ms ✓ Plots From worker 4: 126218.6 ms ✓ Plots From worker 4: UnitfulExt Being precompiled by another process (pid: 186, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 2: 128067.2 ms ✓ Plots From worker 2: UnitfulExt Being precompiled by another process (pid: 186, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 3: 129928.3 ms ✓ Plots From worker 3: UnitfulExt Being precompiled by another process (pid: 186, pidfile: /home/pkgeval/.julia/compiled/v1.13/UnitfulExt/fVkVz_eJM3J.ji.pidfile) From worker 5: 24801.1 ms ✓ Plots → UnitfulExt From worker 5: 2 dependencies successfully precompiled in 160 seconds. 178 already precompiled. From worker 2: 22865.7 ms ✓ Plots → UnitfulExt From worker 2: 2 dependencies successfully precompiled in 162 seconds. 178 already precompiled. From worker 4: 27669.3 ms ✓ Plots → UnitfulExt From worker 4: 2 dependencies successfully precompiled in 165 seconds. 178 already precompiled. From worker 3: 27870.7 ms ✓ Plots → UnitfulExt From worker 3: 2 dependencies successfully precompiled in 169 seconds. 178 already precompiled. From worker 5: Precompiling packages... From worker 2: Precompiling packages... From worker 2: SpecialFunctionsExt Being precompiled by another process (pid: 186, pidfile: /home/pkgeval/.julia/compiled/v1.13/SpecialFunctionsExt/iWq2v_eJM3J.ji.pidfile) From worker 4: Precompiling packages... From worker 4: SpecialFunctionsExt Being precompiled by another process (pid: 186, pidfile: /home/pkgeval/.julia/compiled/v1.13/SpecialFunctionsExt/iWq2v_eJM3J.ji.pidfile) From worker 5: 7163.6 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 5: 1 dependency successfully precompiled in 8 seconds. 19 already precompiled. From worker 2: 3330.1 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 2: 1 dependency successfully precompiled in 4 seconds. 19 already precompiled. From worker 4: 382.4 ms ✓ ColorVectorSpace → SpecialFunctionsExt From worker 4: 1 dependency successfully precompiled in 1 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:741 [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:1855 [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:741 [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:1855 [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 7.925058e+00 5 1 20 0.000000e+00 -1.000000e+01 8.634980e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.634980e+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 2.505803e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.308892e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.262590e-02 132 1 20 -2.396000e+01 -2.396000e+01 5.345488e-02 172 1 25 -5.320000e+00 -2.396000e+01 6.650186e-02 224 1 30 -5.320000e+00 -2.396000e+01 7.975698e-02 264 1 35 -2.396000e+01 -2.396000e+01 9.349799e-02 304 1 40 -2.396000e+01 -2.396000e+01 1.086218e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.086218e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 429ms / 22.5% 12.8MiB / 61.6% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 56.3ms 58.3% 1.41ms 5.83MiB 74.2% 149KiB solve_subproblem 160 29.8ms 30.9% 187μs 904KiB 11.2% 5.65KiB get_dual_solution 160 1.43ms 1.5% 8.91μs 180KiB 2.2% 1.12KiB prepare_backward_pass 160 73.7μs 0.1% 460ns 0.00B 0.0% 0.00B forward_pass 40 28.2ms 29.2% 705μs 1.75MiB 22.3% 44.8KiB solve_subproblem 120 25.3ms 26.2% 211μs 1.58MiB 20.0% 13.4KiB get_dual_solution 120 89.8μs 0.1% 748ns 13.1KiB 0.2% 112B sample_scenario 40 569μs 0.6% 14.2μs 24.2KiB 0.3% 620B calculate_bound 40 12.0ms 12.4% 299μs 282KiB 3.5% 7.05KiB get_dual_solution 40 44.4μs 0.0% 1.11μs 4.38KiB 0.1% 112B get_dual_solution 36 43.4μs 0.0% 1.20μs 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 6.267786e-02 52 1 10 -2.396000e+01 -2.396000e+01 7.232594e-02 92 1 15 -2.396000e+01 -2.396000e+01 8.604503e-02 132 1 20 -4.260000e+01 -2.396000e+01 9.987903e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.199069e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.372681e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.565509e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.799369e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.799369e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 188ms / 88.3% 15.1MiB / 94.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 121ms 73.0% 3.03ms 12.1MiB 85.6% 310KiB solve_subproblem 160 32.7ms 19.7% 204μs 910KiB 6.3% 5.69KiB get_dual_solution 160 1.74ms 1.0% 10.9μs 180KiB 1.2% 1.12KiB prepare_backward_pass 160 90.0μs 0.1% 562ns 0.00B 0.0% 0.00B forward_pass 40 29.3ms 17.7% 734μs 1.75MiB 12.4% 44.8KiB solve_subproblem 120 25.6ms 15.4% 213μs 1.57MiB 11.1% 13.4KiB get_dual_solution 120 134μs 0.1% 1.12μs 13.1KiB 0.1% 112B sample_scenario 40 653μs 0.4% 16.3μs 24.3KiB 0.2% 623B calculate_bound 40 15.4ms 9.3% 385μs 293KiB 2.0% 7.33KiB get_dual_solution 40 60.9μs 0.0% 1.52μs 4.38KiB 0.0% 112B get_dual_solution 36 24.1μs 0.0% 669ns 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 1.823890e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.843171e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.850951e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.858530e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.866541e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.873691e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.881239e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.888981e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.897180e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.905050e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.912382e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.920810e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.929572e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.937501e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.946092e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.955020e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.963329e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.972392e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.981671e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.991091e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.008121e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.017801e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.027781e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.037630e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.047811e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.058229e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.068090e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.077870e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.087979e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.097971e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.108262e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.119200e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.130120e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.140050e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.151330e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.163010e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.176630e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.190170e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.203569e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.217522e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.217522e-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 2.810950e-01 51 1 24 2.178733e+02 2.251256e+02 1.287500e+00 3972 1 30 2.138334e+03 2.336430e+02 2.955938e+00 7674 1 38 8.025312e+02 2.352957e+02 4.383048e+00 10194 1 44 7.789968e+01 2.358255e+02 5.428708e+00 11772 1 53 1.403040e+02 2.360578e+02 6.495960e+00 13251 1 63 1.493193e+03 2.362190e+02 8.733347e+00 15909 1 71 1.519535e+02 2.362929e+02 9.875584e+00 17205 1 95 1.224928e+02 2.364008e+02 1.504252e+01 22149 1 100 4.969839e+02 2.364135e+02 1.709079e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.709079e+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 8.389070e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.108523e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.406296e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.698457e+00 5600 1 50 -4.167321e+00 -4.364999e+00 1.998703e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.305290e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.619348e+00 9800 1 80 -4.861568e+00 -4.353006e+00 2.953265e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.425833e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.757882e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.757882e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 4.236102e-01 1050 1 20 -1.529197e+00 -1.471817e+00 4.997132e-01 1600 1 30 -1.410768e+00 -1.471408e+00 6.595311e-01 2650 1 40 -1.596461e+00 -1.471258e+00 7.419932e-01 3200 1 50 -1.002277e+00 -1.471216e+00 9.194851e-01 4250 1 60 -1.085156e+00 -1.471164e+00 1.008533e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.198807e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.297852e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.492678e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.610300e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.724313e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.839069e+00 9100 1 130 -1.271481e+00 -1.471075e+00 1.945849e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.057319e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.172450e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.300395e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.429591e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.559568e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.582682e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.582682e+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 2.408814e-02 54 1 20 3.336455e+05 3.402383e+05 3.782415e-02 104 1 30 3.993519e+05 3.403155e+05 5.041623e-02 158 1 40 3.337559e+05 3.403155e+05 6.223011e-02 208 1 48 3.337559e+05 3.403155e+05 7.255721e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.255721e-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 3.381491e-02 92 1 20 4.506600e+05 4.054833e+05 5.702901e-02 172 1 30 3.959476e+05 4.067125e+05 7.896090e-02 264 1 40 4.497721e+05 4.067125e+05 1.004190e-01 344 1 47 3.959476e+05 4.067125e+05 1.176159e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.176159e-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 6.851428e+00 14 1 40 2.308500e+03 4.074139e+03 7.709920e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.709920e+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 2.416602e+00 8 1 6L 4.000000e+04 6.250000e+04 3.420714e+00 60 1 16L 6.000000e+04 6.250000e+04 4.510219e+00 140 1 20L 6.000000e+04 6.250000e+04 5.157638e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.157638e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.319003e-02 8 1 17 9.500000e+04 6.250000e+04 1.020128e+00 148 1 20 4.000000e+04 6.250000e+04 1.210116e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.210116e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 6.143117e-02 5 1 10 4.000000e+04 6.250000e+04 7.554581e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.554581e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 3.448210e-01 6 1 20L 9.000000e+00 9.000000e+00 4.430060e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.430060e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 1.091711e+00 87 1 10 -1.109375e+01 2.605769e-01 1.104298e+00 142 1 15 3.105797e+00 5.434132e-01 1.117440e+00 197 1 20 -2.463349e+01 1.503415e+00 1.132881e+00 252 1 25 -1.421085e-14 1.514085e+00 1.145323e+00 307 1 30 4.864000e+01 1.514085e+00 3.162629e+00 394 1 35 4.864000e+01 1.514085e+00 3.174297e+00 449 1 40 -8.870299e+00 1.514085e+00 3.187026e+00 504 1 45 -1.428571e+00 1.514085e+00 3.201655e+00 559 1 48 -1.428571e+00 1.514085e+00 3.211956e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.211956e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 9.978230e-01 278 1 20 1.440356e+01 1.278425e+00 1.037160e+00 428 1 30 8.388546e+00 1.278425e+00 1.107559e+00 706 1 40 6.666667e-03 1.278410e+00 1.151858e+00 856 1 50 -5.614035e+00 1.278410e+00 1.223791e+00 1134 1 60 1.426676e+01 1.278410e+00 1.274943e+00 1284 1 64 1.261296e+01 1.278410e+00 1.297171e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.297171e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 8.576417e-02 278 1 20 1.111084e+01 1.278410e+00 1.344681e-01 428 1 30 2.293779e+01 1.278410e+00 2.176762e-01 706 1 40 1.426676e+01 1.278410e+00 3.015940e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.015940e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 6.456617e+00 900 1 20 6.374753e+00 1.361934e+01 6.824682e+00 1720 1 30 2.848217e+01 1.624016e+01 7.646357e+00 3036 1 40 1.973944e+01 1.776547e+01 8.624960e+00 4192 1 50 4.000000e+00 1.889360e+01 9.534174e+00 5020 1 60 1.142478e+01 1.907862e+01 1.048751e+01 5808 1 70 9.386421e+00 1.961295e+01 1.141810e+01 6540 1 80 5.667851e+01 1.890911e+01 1.223108e+01 7088 1 90 3.740597e+01 1.993139e+01 1.401070e+01 8180 1 100 9.867183e+00 2.001688e+01 1.480634e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.480634e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.182984e+00 36 1 10 0.000000e+00 0.000000e+00 3.219625e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.219625e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 5.786180e-03 407 1 10 2.850000e+02 5.728212e+02 5.381608e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.381608e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 6.617069e-03 778 1 10 2.825000e+02 3.465177e+02 6.514788e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.514788e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 6.607771e-03 1149 1 10 2.587500e+02 2.052799e+02 5.551481e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.551481e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 8.547068e-03 1520 1 10 2.875000e+02 4.661908e+02 6.985092e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.985092e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 7.148027e-03 1891 1 10 1.000000e+02 1.129771e+02 1.933191e-01 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.933191e-01 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 6.657124e-03 2262 1 10 1.625000e+02 2.794553e+02 6.226897e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.226897e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 7.177830e-03 2633 1 10 5.487500e+02 4.077574e+02 6.849599e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.849599e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 7.506132e-03 3004 1 10 6.771875e+02 5.210100e+02 7.144904e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.144904e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 7.764101e-03 3375 1 10 5.312500e+01 5.938345e+01 6.773996e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.773996e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.398874e+00 235 1 10 1.000000e+01 9.159200e+00 1.840462e+00 310 1 15 1.000000e+01 9.159200e+00 2.338530e+00 385 1 20 1.000000e+01 9.159200e+00 2.807548e+00 460 1 25 1.000000e+01 9.159200e+00 5.649454e+00 695 1 30 4.000000e+00 9.159200e+00 6.115545e+00 770 1 35 1.000000e+01 9.159200e+00 6.594654e+00 845 1 40 1.000000e+01 9.159200e+00 7.120523e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.120523e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.EqualTo{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 1.346082e+00 510 1 20 1.000000e+01 6.834387e+00 2.974047e+00 720 1 30 7.000000e+00 6.834387e+00 6.883974e+00 1230 1 40 1.000000e+01 6.823805e+00 8.530027e+00 1440 1 50 3.000000e+00 6.823805e+00 1.260497e+01 1950 1 60 2.000000e+00 6.823805e+00 1.429509e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.429509e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.407338e+01 920 1 20 6.049875e+06 2.075240e+06 1.697855e+01 1340 1 30 5.496647e+05 2.078257e+06 3.042331e+01 2260 1 40 3.985383e+04 2.078257e+06 3.324338e+01 2680 1 50 2.994548e+05 2.078257e+06 4.651229e+01 3600 1 60 3.799457e+06 2.078257e+06 4.934331e+01 4020 1 61 3.549665e+06 2.078257e+06 4.963042e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.963042e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.378783e+01 920 1 20L 2.799668e+06 2.079457e+06 5.534604e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.810119e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.099638e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.099638e+02 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.188534e+02 2.781404e+00 1914 1 200 0.000000e+00 1.191645e+02 3.261141e+00 3840 1 300 7.500000e+01 1.191666e+02 3.774020e+00 5738 1 328 2.500000e+00 1.191667e+02 3.883509e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.883509e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 6.492589e-01 2806 1 200 0.000000e+00 1.191666e+02 1.211197e+00 4749 1 287 5.000000e+00 1.191667e+02 1.639118e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.639118e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 2.061100e-01 1033 1 20 8.000000e+00 2.000000e+01 2.337492e-01 1209 1 30 1.200000e+01 2.000000e+01 3.654761e-01 2304 1 40 3.000000e+01 2.000000e+01 4.534612e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.534612e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 8.692980e-03 3 1 40 2.000000e+00 2.000000e+00 9.309697e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.309697e-02 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 9.063559e-01 1350 1 20 5.062500e+00 4.110713e+00 1.108839e+00 2700 1 30 4.500000e+00 4.104200e+00 1.326120e+00 4050 1 40 3.812500e+00 4.102669e+00 1.545892e+00 5400 1 50 4.725000e+00 4.095504e+00 1.784555e+00 6750 1 60 4.050000e+00 4.092999e+00 2.014667e+00 8100 1 70 4.606250e+00 4.091524e+00 2.253058e+00 9450 1 80 3.875000e+00 4.089694e+00 2.503039e+00 10800 1 90 3.750000e+00 4.089490e+00 2.754887e+00 12150 1 100 5.125000e+00 4.087894e+00 3.015576e+00 13500 1 110 4.500000e+00 4.087478e+00 3.394184e+00 14850 1 120 3.650000e+00 4.086704e+00 3.658878e+00 16200 1 130 4.406250e+00 4.086063e+00 3.942133e+00 17550 1 140 3.375000e+00 4.085981e+00 4.207723e+00 18900 1 150 3.000000e+00 4.085945e+00 4.494973e+00 20250 1 160 3.812500e+00 4.085838e+00 4.784622e+00 21600 1 170 4.250000e+00 4.085728e+00 5.108212e+00 22950 1 180 3.243750e+00 4.085593e+00 5.412817e+00 24300 1 190 4.306250e+00 4.085487e+00 5.717248e+00 25650 1 200 5.237500e+00 4.085446e+00 6.033416e+00 27000 1 210 4.500000e+00 4.085441e+00 6.336294e+00 28350 1 220 3.612500e+00 4.085405e+00 6.646677e+00 29700 1 230 3.700000e+00 4.085382e+00 6.960993e+00 31050 1 240 3.437500e+00 4.085254e+00 7.254767e+00 32400 1 250 4.100000e+00 4.085115e+00 7.547550e+00 33750 1 260 3.000000e+00 4.084973e+00 7.843781e+00 35100 1 270 4.918750e+00 4.084943e+00 8.149809e+00 36450 1 280 2.756250e+00 4.084920e+00 8.485495e+00 37800 1 290 3.737500e+00 4.084868e+00 8.814260e+00 39150 1 300 5.750000e+00 4.084868e+00 9.146961e+00 40500 1 310 5.156250e+00 4.084858e+00 9.488496e+00 41850 1 320 3.131250e+00 4.084855e+00 9.823740e+00 43200 1 330 4.125000e+00 4.084846e+00 1.016270e+01 44550 1 340 5.875000e+00 4.084820e+00 1.051748e+01 45900 1 350 4.587500e+00 4.084810e+00 1.099529e+01 47250 1 360 5.087500e+00 4.084805e+00 1.132603e+01 48600 1 370 4.393750e+00 4.084802e+00 1.163221e+01 49950 1 380 4.750000e+00 4.084792e+00 1.192833e+01 51300 1 390 4.437500e+00 4.084785e+00 1.222690e+01 52650 1 400 4.181250e+00 4.084785e+00 1.252282e+01 54000 1 410 3.650000e+00 4.084777e+00 1.285004e+01 55350 1 420 3.750000e+00 4.084769e+00 1.320668e+01 56700 1 430 3.725000e+00 4.084762e+00 1.355076e+01 58050 1 440 4.218750e+00 4.084751e+00 1.389064e+01 59400 1 450 5.500000e+00 4.084751e+00 1.423583e+01 60750 1 460 3.637500e+00 4.084747e+00 1.458258e+01 62100 1 470 2.993750e+00 4.084743e+00 1.493366e+01 63450 1 480 5.237500e+00 4.084743e+00 1.529460e+01 64800 1 490 4.212500e+00 4.084743e+00 1.564170e+01 66150 1 500 3.843750e+00 4.084743e+00 1.598265e+01 67500 1 510 3.425000e+00 4.084743e+00 1.631908e+01 68850 1 520 4.293750e+00 4.084743e+00 1.665456e+01 70200 1 530 2.818750e+00 4.084740e+00 1.703720e+01 71550 1 540 4.668750e+00 4.084740e+00 1.740355e+01 72900 1 550 2.750000e+00 4.084740e+00 1.778660e+01 74250 1 560 4.100000e+00 4.084740e+00 1.817804e+01 75600 1 570 3.200000e+00 4.084738e+00 1.856031e+01 76950 1 580 3.525000e+00 4.084738e+00 1.893618e+01 78300 1 590 3.125000e+00 4.084738e+00 1.930144e+01 79650 1 600 4.875000e+00 4.084736e+00 1.976851e+01 81000 1 607 2.675000e+00 4.084736e+00 2.001963e+01 81945 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.001963e+01 total solves : 81945 best bound : 4.084736e+00 simulation ci : 4.066794e+00 ± 6.145152e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.162500e+00 4.350267e+00 4.599340e-01 1350 1 20 3.900000e+00 4.048841e+00 1.229583e+00 2700 1 30 4.275000e+00 4.046486e+00 2.252809e+00 4050 1 40 3.031250e+00 4.045962e+00 3.577970e+00 5400 1 50 4.000000e+00 4.044727e+00 5.143344e+00 6750 1 60 3.812500e+00 4.039870e+00 7.024860e+00 8100 1 70 4.875000e+00 4.039803e+00 9.188546e+00 9450 1 80 4.000000e+00 4.039343e+00 1.157292e+01 10800 1 90 4.162500e+00 4.039204e+00 1.419870e+01 12150 1 100 4.281250e+00 4.039017e+00 1.715294e+01 13500 1 109 4.500000e+00 4.039009e+00 2.017168e+01 14715 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.017168e+01 total solves : 14715 best bound : 4.039009e+00 simulation ci : 4.015862e+00 ± 1.362491e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_one.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 8 state variables : 1 scenarios : 1.00000e+08 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [1, 2] VariableRef in MOI.ZeroOne : [1, 1] numerical stability report matrix range [1e+00, 2e+00] objective range [5e-01, 1e+00] bounds range [1e+00, 1e+00] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.219176e+00 1.165102e+00 1.505588e+01 1680 1 20 2.078810e+00 1.166281e+00 1.627116e+01 2560 1 30 3.973033e+00 1.166907e+00 1.788964e+01 3440 1 40 3.706337e+00 1.167312e+00 3.351846e+01 5120 1 50 3.158565e+00 1.167416e+00 3.508527e+01 6000 1 60 3.642642e+00 1.167416e+00 5.086468e+01 7680 1 70 3.451253e+00 1.167416e+00 5.245611e+01 8560 1 71 2.984727e+00 1.167416e+00 5.258345e+01 8648 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.258345e+01 total solves : 8648 best bound : 1.167416e+00 simulation ci : 3.293853e+00 ± 1.130135e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: sldp_example_two.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 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 : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] 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 ------------------------------------------------------------------- 10 -4.000000e+01 -5.809615e+01 6.416538e-01 78 1 20 -4.000000e+01 -5.809615e+01 1.361675e+00 148 1 30 -4.000000e+01 -5.809615e+01 2.190619e+00 226 1 40 -4.700000e+01 -5.809615e+01 2.929661e+00 296 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.929661e+00 total solves : 296 best bound : -5.809615e+01 simulation ci : -5.346250e+01 ± 7.152725e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 9.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] 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 ------------------------------------------------------------------- 10 -6.300000e+01 -6.196125e+01 7.082791e-01 138 1 20 -4.000000e+01 -6.196125e+01 1.291311e+00 258 1 30 -7.500000e+01 -6.196125e+01 2.124318e+00 396 1 40 -4.000000e+01 -6.196125e+01 2.685305e+00 516 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.685305e+00 total solves : 516 best bound : -6.196125e+01 simulation ci : -6.108750e+01 ± 7.148463e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 3.60000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 11] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 7] VariableRef in MOI.Integer : [2, 2] VariableRef in MOI.LessThan{Float64} : [4, 7] 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 ------------------------------------------------------------------- 10 -7.000000e+01 -6.546793e+01 1.070668e+00 462 1 20 -5.600000e+01 -6.546793e+01 1.786666e+00 852 1 30 -4.000000e+01 -6.546793e+01 3.775677e+00 1314 1 40 -4.000000e+01 -6.546793e+01 4.443651e+00 1704 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.443651e+00 total solves : 1704 best bound : -6.546793e+01 simulation ci : -5.991250e+01 ± 5.174250e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: stochastic_all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 1.200000e+01 7.264168e-01 11 1 7L 6.000000e+00 8.000000e+00 1.794419e+00 158 1 12L 6.000000e+00 8.000000e+00 2.857985e+00 213 1 17L 6.000000e+00 8.000000e+00 3.955466e+00 268 1 21L 1.200000e+01 8.000000e+00 5.375350e+00 393 1 27L 6.000000e+00 8.000000e+00 6.561979e+00 459 1 32L 1.200000e+01 8.000000e+00 7.599493e+00 514 1 37L 6.000000e+00 8.000000e+00 8.676415e+00 569 1 40L 6.000000e+00 8.000000e+00 9.295377e+00 602 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.295377e+00 total solves : 602 best bound : 8.000000e+00 simulation ci : 8.475000e+00 ± 8.904404e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: the_farmers_problem.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 3 scenarios : 3.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 19] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 16] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 2e+01] objective range [1e+00, 1e+03] bounds range [6e+03, 5e+05] rhs range [2e+02, 5e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -9.800000e+04 4.922260e+05 6.998570e-01 6 1 40 1.093500e+05 1.083900e+05 7.485330e-01 240 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.485330e-01 total solves : 240 best bound : 1.083900e+05 simulation ci : 9.772505e+04 ± 1.969816e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: vehicle_location.jl Test Summary: | Pass Fail Error Total Time SDDP.jl | 2390 2 1 2393 43m19.3s Experimental.jl | 35 35 5m36.5s MSPFormat.jl | 51 51 20.7s algorithm.jl | 40 40 1m34.2s binary_expansion.jl | 38 38 3.7s deterministic_equivalent.jl | 21 21 50.3s modeling_aids.jl | 47 47 18.4s user_interface.jl | 123 123 1m14.8s backward_sampling_schemes.jl | 1203 1203 7.1s bellman_functions.jl | 45 45 1m06.3s duality_handlers.jl | 336 336 3m08.2s forward_passes.jl | 34 34 17.0s local_improvement_search.jl | 12 12 16.4s parallel_schemes.jl | 10 1 11 9m28.8s risk_measures.jl | 91 91 13.1s sampling_schemes.jl | 158 158 31.5s stopping_rules.jl | 40 40 19.0s threaded.jl | 0 0.3s value_functions.jl | 28 28 27.7s visualization.jl | 9 2 11 8m20.2s test_PublicationPlot | 5 5 22.5s test_PublicationPlot_different_lengths | 1 1 0.9s test_SpaghettiPlot | 3 2 5 10.1s FAST_hydro_thermal.jl | 3 3 17.6s FAST_production_management.jl | 2 2 5.0s FAST_quickstart.jl | 2 2 2.0s Hydro_thermal.jl | 0 24.1s StochDynamicProgramming.jl_multistock.jl | 3 3 14.0s StochDynamicProgramming.jl_stock.jl | 3 3 5.7s StructDualDynProg.jl_prob5.2_2stages.jl | 1 1 4.6s StructDualDynProg.jl_prob5.2_3stages.jl | 2 2 3.0s agriculture_mccardle_farm.jl | 2 2 16.0s air_conditioning.jl | 6 6 9.7s air_conditioning_forward.jl | 2 2 3.0s all_blacks.jl | 1 1 2.6s asset_management_simple.jl | 1 1 5.5s asset_management_stagewise.jl | 2 2 4.8s belief.jl | 1 1 21.3s biobjective_hydro.jl | 10 10 8.1s booking_management.jl | 2 2 30.4s generation_expansion.jl | 2 2 3m05.0s hydro_valley.jl | 9 9 13.5s infinite_horizon_hydro_thermal.jl | 4 4 9.9s infinite_horizon_trivial.jl | 1 1 1.9s no_strong_duality.jl | 1 1 1.7s objective_state_newsvendor.jl | 4 4 51.7s sldp_example_one.jl | 1 1 1m08.5s sldp_example_two.jl | 3 3 14.9s stochastic_all_blacks.jl | 1 1 13.6s the_farmers_problem.jl | 0 5.5s vehicle_location.jl | 0 0.1s RNG of the outermost testset: Xoshiro(0x237893a5d56588ee, 0x45fac8fa95d7c520, 0x3cdb758d6d80edfc, 0x085738e7ffbba987, 0x6014c8b0b89320eb) ERROR: LoadError: Some tests did not pass: 2390 passed, 2 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/SDDP/She2h/test/runtests.jl:24 Testing failed after 2603.38s ERROR: LoadError: Package SDDP errored during testing ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 1 of 1 signal (10): User defined signal 1 Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2446 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2301 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:500 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:309 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [12] _start() @ Base ./client.jl:553_ZN4llvm10FoldingSetINS_13AttributeImplEE10NodeEqualsEPKNS_14FoldingSetBaseEPNS3_4NodeERKNS_16FoldingSetNodeIDEjRS8_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) unknown function (ip: 0x1a5137f) at (unknown file) unknown function (ip: 0x1fffffffff) at (unknown file) unknown function (ip: 0x61636b74732d64) at (unknown file) unknown function (ip: (nil)) at (unknown file) in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval terminated after 2702.23s: test duration exceeded the time limit