Package evaluation of SDDP on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-24T18:24:43.317 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.28s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [f4570300] + SDDP v1.10.4 Updating `~/.julia/environments/v1.12/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.3 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v0.10.38 [cd3eb016] + HTTP v1.10.15 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.1 [4076af6c] + JuMP v1.24.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.15 [b8f27783] + MathOptInterface v1.38.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.2 [4d8831e6] + OpenSSL v1.4.3 [bac558e1] + OrderedCollections v1.8.0 [69de0a69] + Parsers v2.8.1 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.10.4 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.5.0 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.28 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.5.1 [6e34b625] + Bzip2_jll v1.0.9+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [dc6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [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 v1.2.0+0 [e37daf67] + LibGit2_jll v1.8.0+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+1 [14a3606d] + MozillaCACerts_jll v2024.11.26 [4536629a] + OpenBLAS_jll v0.3.28+3 [05823500] + OpenLibm_jll v0.8.1+3 [bea87d4a] + SuiteSparse_jll v7.8.0+1 [83775a58] + Zlib_jll v1.3.1+1 [8e850b90] + libblastrampoline_jll v5.11.2+0 Installation completed after 4.12s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/mqTVN/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 4.012198e-01 4 1 3 0.000000e+00 0.000000e+00 8.888509e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.888509e-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 1.947403e-02 9 1 20 7.500000e+04 1.075000e+05 7.619860e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.619860e-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/mqTVN/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/mqTVN/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/mqTVN/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 1.213118e+00 12 1 10 2.500000e+00 3.361111e+01 1.236815e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.236815e+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 7.592916e-03 12 1 10 2.500000e+00 3.361111e+01 2.738500e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.738500e-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 8.627892e-03 46 1 50 0.000000e+00 1.191663e+02 5.176980e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.176980e-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 1.085997e-02 46 1 50 0.000000e+00 1.191663e+02 5.255589e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.255589e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 4.236462e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.104484e+00 309 1 11S -8.368889e+01 -6.677644e+01 7.195231e+00 1133 1 17S -6.068889e+01 -6.677644e+01 8.594913e+00 1751 1 23S -3.268889e+01 -6.677644e+01 9.958010e+00 2369 1 45S -4.168889e+01 -6.677644e+01 1.497061e+01 4635 1 69S -6.468889e+01 -6.677644e+01 2.040059e+01 7107 1 91S -6.068889e+01 -6.677644e+01 2.556300e+01 9373 1 100 -8.368889e+01 -6.677644e+01 2.740077e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.740077e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- [ 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/mqTVN/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 Activating From worker 2: Activating new project at `~/.julia/packages/SDDP/mqTVN/test`new project at `~/.julia/packages/SDDP/mqTVN/test` From worker 4: Activating new project at `~/.julia/packages/SDDP/mqTVN/test` From worker 5: Activating new project at `~/.julia/packages/SDDP/mqTVN/test` From worker 3: Activating new project at `~/.julia/packages/SDDP/mqTVN/test` From worker 5: ┌ Info: Ignoring an error that occurred during the precompilation workload From worker 5: │ exception = From worker 5: │ HTTP.ConnectError for url = `https://localhost:57813`: IOError: connect: connection refused (ECONNREFUSED) From worker 5: │ Stacktrace: From worker 5: │ [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 5: │ @ HTTP.Connections ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:531 From worker 5: │ [2] getconnection From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:508 [inlined] From worker 5: │ [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 5: │ @ HTTP.Connections ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:585 From worker 5: │ [4] getconnection From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:578 [inlined] From worker 5: │ [5] #13 From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:467 [inlined] From worker 5: │ [6] macro expansion From worker 5: │ @ ~/.julia/packages/ConcurrentUtilities/ofY4K/src/try_with_timeout.jl:92 [inlined] From worker 5: │ [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 5: │ @ ConcurrentUtilities ~/.julia/packages/ConcurrentUtilities/ofY4K/src/ConcurrentUtilities.jl:10 From worker 5: │ Stacktrace: From worker 5: │ [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 5: │ @ HTTP.ConnectionRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/ConnectionRequest.jl:88 From worker 5: │ [2] connections From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/ConnectionRequest.jl:60 [inlined] From worker 5: │ [3] (::Base.var"#46#47"{Base.var"#48#49"{ExponentialBackOff, HTTP.RetryRequest.var"#retrylayer##2#retrylayer##3"{Int64, typeof(HTTP.RetryRequest.FALSE), HTTP.Messages.Request, Base.RefValue{Int64}}, HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(args::HTTP.Messages.Request; kwargs::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) From worker 5: │ @ Base ./error.jl:322 From worker 5: │ [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 5: │ @ HTTP.RetryRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/RetryRequest.jl:75 From worker 5: │ [5] manageretries From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/RetryRequest.jl:30 [inlined] From worker 5: │ [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 5: │ @ HTTP.CookieRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/CookieRequest.jl:42 From worker 5: │ [7] managecookies From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/CookieRequest.jl:19 [inlined] From worker 5: │ [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 5: │ @ HTTP.HeadersRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/HeadersRequest.jl:71 From worker 5: │ [9] defaultheaders From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/HeadersRequest.jl:14 [inlined] From worker 5: │ [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 5: │ @ HTTP.RedirectRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/RedirectRequest.jl:25 From worker 5: │ [11] redirects From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/RedirectRequest.jl:14 [inlined] From worker 5: │ [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 5: │ @ HTTP.MessageRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/MessageRequest.jl:35 From worker 5: │ [13] makerequest From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/MessageRequest.jl:24 [inlined] From worker 5: │ [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 5: │ @ HTTP ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:457 From worker 5: │ [15] request(stack::Function, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing) From worker 5: │ @ HTTP ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:455 From worker 5: │ [16] #request#21 From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:315 [inlined] From worker 5: │ [17] request (repeats 2 times) From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:313 [inlined] From worker 5: │ [18] get From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:518 [inlined] From worker 5: │ [19] macro expansion From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/precompile.jl:36 [inlined] From worker 5: │ [20] macro expansion From worker 5: │ @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:78 [inlined] From worker 5: │ [21] (::HTTP.var"#51#52"{String})() From worker 5: │ @ HTTP ~/.julia/packages/HTTP/4AUPl/src/precompile.jl:35 From worker 5: │ [22] withenv(::HTTP.var"#51#52"{String}, ::Pair{String, Union{Nothing, String}}, ::Vararg{Pair{String, Union{Nothing, String}}}) From worker 5: │ @ Base ./env.jl:265 From worker 5: │ [23] macro expansion From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/precompile.jl:34 [inlined] From worker 5: │ [24] macro expansion From worker 5: │ @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:140 [inlined] From worker 5: │ [25] top-level scope From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/precompile.jl:4 From worker 5: │ [26] include(mapexpr::Function, mod::Module, _path::String) From worker 5: │ @ Base ./Base.jl:301 From worker 5: │ [27] IncludeInto From worker 5: │ @ ./Base.jl:302 [inlined] From worker 5: │ [28] top-level scope From worker 5: │ @ ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:636 From worker 5: │ [29] include(mod::Module, _path::String) From worker 5: │ @ Base ./Base.jl:300 From worker 5: │ [30] 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::String) From worker 5: │ @ Base ./loading.jl:2995 From worker 5: │ [31] top-level scope From worker 5: │ @ stdin:6 From worker 5: │ [32] eval(m::Module, e::Any) From worker 5: │ @ Core ./boot.jl:485 From worker 5: │ [33] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) From worker 5: │ @ Base ./loading.jl:2846 From worker 5: │ [34] include_string From worker 5: │ @ ./loading.jl:2856 [inlined] From worker 5: │ [35] exec_options(opts::Base.JLOptions) From worker 5: │ @ Base ./client.jl:327 From worker 5: │ [36] _start() From worker 5: └ @ Base ./client.jl:558 ------------------------------------------------------------------- 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 3.000000e+00 6.000000e+00 3.323652e+02 2 4 20 7.000000e+00 6.000000e+00 3.364047e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.364047e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 5.400000e+00 ± 9.258960e-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/mqTVN/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 6.983039e-01 48 1 parallel_schemes.jl: Error During Test at /home/pkgeval/.julia/packages/SDDP/mqTVN/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/mqTVN/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/mqTVN/src/plugins/parallel_schemes.jl:203 [3] #invokelatest#1 @ ./essentials.jl:1056 [4] invokelatest @ ./essentials.jl:1052 [5] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:283 [6] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:70 [7] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:79 [8] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.12/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, forward_pass_callback::SDDP.var"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/mqTVN/src/algorithm.jl:1295 [2] train @ ~/.julia/packages/SDDP/mqTVN/src/algorithm.jl:1106 [inlined] [3] test_async_solve() @ Main ~/.julia/packages/SDDP/mqTVN/test/plugins/parallel_schemes.jl:174 [4] top-level scope @ ~/.julia/packages/SDDP/mqTVN/test/plugins/parallel_schemes.jl:231 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [6] IncludeInto @ ./Base.jl:302 [inlined] [7] macro expansion @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:16 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [9] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:14 [10] top-level scope @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:25 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [12] macro expansion @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:25 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:485 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:295 [17] _start() @ Base ./client.jl:558 in expression starting at /home/pkgeval/.julia/packages/SDDP/mqTVN/test/plugins/parallel_schemes.jl:231 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/mqTVN/src/plugins/parallel_schemes.jl:208 [2] slave_loop @ ~/.julia/packages/SDDP/mqTVN/src/plugins/parallel_schemes.jl:203 [3] #invokelatest#1 @ ./essentials.jl:1056 [4] invokelatest @ ./essentials.jl:1052 [5] #handle_msg##0 @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:283 [6] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:70 [7] run_work_thunk @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/process_messages.jl:79 [8] #schedule_call##2 @ /opt/julia/share/julia/stdlib/v1.12/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/v1.12/Distributed/src/remotecall.jl:465 [2] remotecall_fetch(::Function, ::Distributed.Worker, ::Distributed.RRID, ::Vararg{Any}) @ Distributed /opt/julia/share/julia/stdlib/v1.12/Distributed/src/remotecall.jl:454 [3] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/remotecall.jl:492 [inlined] [4] call_on_owner @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/remotecall.jl:565 [inlined] [5] wait @ /opt/julia/share/julia/stdlib/v1.12/Distributed/src/remotecall.jl:586 [inlined] [6] _broadcast_getindex_evalf @ ./broadcast.jl:694 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:667 [inlined] [8] _getindex @ ./broadcast.jl:615 [inlined] [9] getindex @ ./broadcast.jl:611 [inlined] [10] macro expansion @ ./broadcast.jl:990 [inlined] [11] macro expansion @ ./simdloop.jl:77 [inlined] [12] copyto! @ ./broadcast.jl:989 [inlined] [13] copyto! @ ./broadcast.jl:942 [inlined] [14] copy @ ./broadcast.jl:914 [inlined] [15] materialize @ ./broadcast.jl:889 [inlined] [16] master_loop(async::SDDP.Asynchronous, model::SDDP.PolicyGraph{Int64}, options::SDDP.Options{Int64}) @ SDDP ~/.julia/packages/SDDP/mqTVN/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, forward_pass_callback::SDDP.var"#train##4#train##5", post_iteration_callback::SDDP.var"#train##6#train##7") @ SDDP ~/.julia/packages/SDDP/mqTVN/src/algorithm.jl:1280 [18] train @ ~/.julia/packages/SDDP/mqTVN/src/algorithm.jl:1106 [inlined] [19] test_async_solve() @ Main ~/.julia/packages/SDDP/mqTVN/test/plugins/parallel_schemes.jl:174 [20] top-level scope @ ~/.julia/packages/SDDP/mqTVN/test/plugins/parallel_schemes.jl:231 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [22] IncludeInto @ ./Base.jl:302 [inlined] [23] macro expansion @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:16 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [25] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:14 [26] top-level scope @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:25 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [28] macro expansion @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:25 [inlined] [29] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [30] top-level scope @ none:6 [31] eval(m::Module, e::Any) @ Core ./boot.jl:485 [32] exec_options(opts::Base.JLOptions) @ Base ./client.jl:295 [33] _start() @ Base ./client.jl:558 [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/mqTVN/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/mqTVN/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/mqTVN/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 4.508018e-03 4 1 50 0.000000e+00 0.000000e+00 4.193401e-02 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 4.193401e-02 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/mqTVN/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/mqTVN/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/mqTVN/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/mqTVN/test/visualization/visualization.jl:51 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 6.350033e+00 5 1 20 0.000000e+00 -1.000000e+01 7.024688e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.024688e+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 1.500082e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.161598e-02 92 1 15 -4.260000e+01 -2.396000e+01 2.885890e-02 132 1 20 -2.396000e+01 -2.396000e+01 3.690982e-02 172 1 25 -5.320000e+00 -2.396000e+01 4.700780e-02 224 1 30 -5.320000e+00 -2.396000e+01 5.640793e-02 264 1 35 -2.396000e+01 -2.396000e+01 6.699681e-02 304 1 40 -2.396000e+01 -2.396000e+01 7.839799e-02 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.839799e-02 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 4.22s / 1.6% 9.32MiB / 74.0% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 43.3ms 63.5% 1.08ms 5.86MiB 85.0% 150KiB solve_subproblem 160 21.7ms 31.8% 136μs 934KiB 13.2% 5.84KiB get_dual_solution 160 1.17ms 1.7% 7.34μs 190KiB 2.7% 1.19KiB prepare_backward_pass 160 24.6μs 0.0% 154ns 0.00B 0.0% 0.00B forward_pass 40 15.9ms 23.3% 397μs 771KiB 10.9% 19.3KiB solve_subproblem 120 13.8ms 20.2% 115μs 590KiB 8.4% 4.92KiB get_dual_solution 120 89.5μs 0.1% 746ns 13.1KiB 0.2% 112B sample_scenario 40 375μs 0.5% 9.36μs 24.2KiB 0.3% 620B calculate_bound 40 9.01ms 13.2% 225μs 281KiB 4.0% 7.02KiB get_dual_solution 40 43.9μs 0.1% 1.10μs 4.38KiB 0.1% 112B get_dual_solution 36 22.9μs 0.0% 637ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 1.456380e-02 52 1 10 -2.396000e+01 -2.396000e+01 2.195287e-02 92 1 15 -2.396000e+01 -2.396000e+01 3.109097e-02 132 1 20 -4.260000e+01 -2.396000e+01 4.201293e-02 172 1 25 -5.320000e+00 -2.396000e+01 5.551291e-02 224 1 30 -2.396000e+01 -2.396000e+01 6.910396e-02 264 1 35 -2.396000e+01 -2.396000e+01 8.465791e-02 304 1 40 -5.320000e+00 -2.396000e+01 1.047189e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.047189e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 113ms / 81.4% 13.7MiB / 93.4% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 66.3ms 72.4% 1.66ms 11.8MiB 91.9% 301KiB solve_subproblem 160 21.5ms 23.5% 135μs 940KiB 7.2% 5.88KiB get_dual_solution 160 1.27ms 1.4% 7.92μs 190KiB 1.4% 1.19KiB prepare_backward_pass 160 26.6μs 0.0% 166ns 0.00B 0.0% 0.00B forward_pass 40 15.4ms 16.8% 384μs 769KiB 5.9% 19.2KiB solve_subproblem 120 12.8ms 14.0% 107μs 589KiB 4.5% 4.91KiB get_dual_solution 120 81.0μs 0.1% 675ns 13.1KiB 0.1% 112B sample_scenario 40 424μs 0.5% 10.6μs 24.3KiB 0.2% 623B calculate_bound 40 10.0ms 10.9% 249μs 291KiB 2.2% 7.27KiB get_dual_solution 40 48.2μs 0.1% 1.20μs 4.38KiB 0.0% 112B get_dual_solution 36 20.8μs 0.0% 579ns 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 1.480541e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.499970e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.509230e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.516302e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.523290e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.529560e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.536200e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.543071e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.549551e-01 49 1 10 -1.000000e+00 -2.000000e+00 1.557081e-01 54 1 11 -3.000000e+00 -2.000000e+00 1.564460e-01 59 1 12 -3.000000e+00 -2.000000e+00 1.571341e-01 64 1 13 -1.000000e+00 -2.000000e+00 1.578140e-01 69 1 14 -1.000000e+00 -2.000000e+00 1.585112e-01 74 1 15 -3.000000e+00 -2.000000e+00 1.592209e-01 79 1 16 -1.000000e+00 -2.000000e+00 1.599581e-01 84 1 17 -3.000000e+00 -2.000000e+00 1.607721e-01 89 1 18 -3.000000e+00 -2.000000e+00 1.615810e-01 94 1 19 -1.000000e+00 -2.000000e+00 1.624000e-01 99 1 20 -3.000000e+00 -2.000000e+00 1.632020e-01 104 1 21 -1.000000e+00 -2.000000e+00 1.646891e-01 113 1 22 -1.000000e+00 -2.000000e+00 1.655920e-01 118 1 23 -3.000000e+00 -2.000000e+00 1.664140e-01 123 1 24 -3.000000e+00 -2.000000e+00 1.672590e-01 128 1 25 -1.000000e+00 -2.000000e+00 1.681230e-01 133 1 26 -3.000000e+00 -2.000000e+00 1.690421e-01 138 1 27 -3.000000e+00 -2.000000e+00 1.699641e-01 143 1 28 -1.000000e+00 -2.000000e+00 1.708670e-01 148 1 29 -3.000000e+00 -2.000000e+00 1.717830e-01 153 1 30 -3.000000e+00 -2.000000e+00 1.727180e-01 158 1 31 -1.000000e+00 -2.000000e+00 1.736271e-01 163 1 32 -1.000000e+00 -2.000000e+00 1.745880e-01 168 1 33 -1.000000e+00 -2.000000e+00 1.756132e-01 173 1 34 -3.000000e+00 -2.000000e+00 1.765461e-01 178 1 35 -1.000000e+00 -2.000000e+00 1.775410e-01 183 1 36 -3.000000e+00 -2.000000e+00 1.786342e-01 188 1 37 -1.000000e+00 -2.000000e+00 1.797299e-01 193 1 38 -1.000000e+00 -2.000000e+00 1.807702e-01 198 1 39 -1.000000e+00 -2.000000e+00 1.818151e-01 203 1 40 -1.000000e+00 -2.000000e+00 1.829031e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.829031e-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 2.556081e-01 51 1 26 3.830773e+02 2.282913e+02 1.345193e+00 4602 1 30 2.138334e+03 2.336430e+02 2.424793e+00 7674 1 38 8.025312e+02 2.352957e+02 3.592005e+00 10194 1 46 1.737622e+02 2.358930e+02 4.662773e+00 12054 1 57 6.154394e+01 2.360915e+02 5.696804e+00 13671 1 63 1.493193e+03 2.362190e+02 7.276971e+00 15909 1 72 1.044387e+02 2.362973e+02 8.352743e+00 17364 1 76 3.050305e+02 2.363467e+02 9.587786e+00 18936 1 100 4.969839e+02 2.364135e+02 1.405718e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.405718e+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 8.236380e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.070766e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.320224e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.587196e+00 5600 1 50 -4.167321e+00 -4.364999e+00 1.850650e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.125060e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.395007e+00 9800 1 80 -4.861568e+00 -4.353006e+00 2.685053e+00 11200 1 90 -4.268264e+00 -4.350407e+00 2.991198e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.284874e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.284874e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325071e+00 ± 8.068858e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 3.671420e-01 1050 1 20 -1.529197e+00 -1.471817e+00 4.339499e-01 1600 1 30 -1.410768e+00 -1.471408e+00 5.962920e-01 2650 1 40 -1.596461e+00 -1.471258e+00 6.780250e-01 3200 1 50 -1.002277e+00 -1.471216e+00 8.428659e-01 4250 1 60 -1.085156e+00 -1.471164e+00 9.196329e-01 4800 1 70 -1.391746e+00 -1.471164e+00 1.079593e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.159726e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.316775e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.417293e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.505750e+00 8550 1 120 -1.591292e+00 -1.471075e+00 1.609266e+00 9100 1 130 -1.271481e+00 -1.471075e+00 1.704078e+00 9650 1 140 -1.249746e+00 -1.471075e+00 1.809734e+00 10200 1 150 -1.536222e+00 -1.471075e+00 1.919875e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.035896e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.154401e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.263935e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.283107e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.283107e+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 1.829600e-02 54 1 20 3.336455e+05 3.402383e+05 3.038001e-02 104 1 30 3.993519e+05 3.403155e+05 4.180598e-02 158 1 40 3.337559e+05 3.403155e+05 5.197001e-02 208 1 48 3.337559e+05 3.403155e+05 6.125808e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.125808e-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 3.038502e-02 92 1 20 4.506600e+05 4.054833e+05 5.236197e-02 172 1 30 3.959476e+05 4.067125e+05 7.186294e-02 264 1 40 4.497721e+05 4.067125e+05 8.962607e-02 344 1 47 3.959476e+05 4.067125e+05 1.070471e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.070471e-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 4.726175e+00 14 1 40 2.314598e+03 4.082311e+03 5.443083e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.443083e+00 total solves : 776 best bound : 4.082311e+03 simulation ci : 4.271012e+03 ± 6.559327e+02 numeric issues : 0 ------------------------------------------------------------------- agriculture_mccardle_farm.jl: Test Failed at /home/pkgeval/.julia/packages/SDDP/mqTVN/docs/src/examples/agriculture_mccardle_farm.jl:137 Expression: ≈(SDDP.calculate_bound(model), 4074.1391, atol = 1.0e-5) Evaluated: 4082.311066630089 ≈ 4074.1391 (atol=1.0e-5) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] test_mccardle_farm_model() @ Main ~/.julia/packages/SDDP/mqTVN/docs/src/examples/agriculture_mccardle_farm.jl:137 [3] top-level scope @ ~/.julia/packages/SDDP/mqTVN/docs/src/examples/agriculture_mccardle_farm.jl:140 [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [5] IncludeInto @ ./Base.jl:302 [inlined] [6] macro expansion @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:16 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [8] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:14 [ 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 2.298166e+00 8 1 20L 6.000000e+04 6.250000e+04 3.059643e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.059643e+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 8.970976e-03 8 1 20 4.000000e+04 6.250000e+04 3.747680e-01 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.747680e-01 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 3.516483e-02 5 1 10 4.000000e+04 6.250000e+04 3.397861e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.397861e-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 2.304349e-01 6 1 20L 9.000000e+00 9.000000e+00 3.160570e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.160570e-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 1.232098e+00 87 1 10 -1.109375e+01 2.605769e-01 1.241635e+00 142 1 15 3.105797e+00 5.434132e-01 1.252867e+00 197 1 20 -2.463349e+01 1.503415e+00 1.265496e+00 252 1 25 -1.421085e-14 1.514085e+00 1.276751e+00 307 1 30 4.864000e+01 1.514085e+00 3.531492e+00 394 1 35 4.864000e+01 1.514085e+00 3.545700e+00 449 1 40 -8.870299e+00 1.514085e+00 3.561373e+00 504 1 45 -1.428571e+00 1.514085e+00 3.576803e+00 559 1 48 -1.428571e+00 1.514085e+00 3.587670e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.587670e+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 9.366419e-01 278 1 20 1.440356e+01 1.278425e+00 9.731209e-01 428 1 30 8.388546e+00 1.278425e+00 1.037083e+00 706 1 40 6.666667e-03 1.278410e+00 1.078135e+00 856 1 50 -5.614035e+00 1.278410e+00 1.143809e+00 1134 1 60 1.426676e+01 1.278410e+00 1.190385e+00 1284 1 64 1.261296e+01 1.278410e+00 1.213340e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.213340e+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 7.564807e-02 278 1 20 1.111084e+01 1.278410e+00 1.252692e-01 428 1 30 2.293779e+01 1.278410e+00 2.092750e-01 706 1 40 1.426676e+01 1.278410e+00 2.902071e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.902071e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 5.489110e+00 900 1 20 6.374753e+00 1.361934e+01 5.821185e+00 1720 1 30 2.848217e+01 1.624016e+01 6.628821e+00 3036 1 40 1.973944e+01 1.776547e+01 7.551332e+00 4192 1 50 4.000000e+00 1.889360e+01 8.290268e+00 5020 1 60 1.143524e+01 1.907862e+01 9.194921e+00 5808 1 70 9.386174e+00 1.961343e+01 1.001916e+01 6540 1 80 5.667808e+01 1.890971e+01 1.066142e+01 7088 1 90 3.740638e+01 1.993168e+01 1.202877e+01 8180 1 100 9.867073e+00 2.001710e+01 1.270996e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.270996e+01 total solves : 8664 best bound : 2.001710e+01 simulation ci : 2.301353e+01 ± 4.670835e+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 3.018171e+00 36 1 10 0.000000e+00 0.000000e+00 3.051099e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.051099e+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 5.569935e-03 407 1 10 2.850000e+02 5.728212e+02 6.129384e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.129384e-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 5.436897e-03 778 1 10 2.825000e+02 3.465177e+02 5.508685e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.508685e-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, 19] 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 2.006818e+02 5.476952e-03 1149 1 10 2.587500e+02 2.052799e+02 4.988217e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.988217e-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 6.088018e-03 1520 1 10 2.875000e+02 4.661908e+02 5.704403e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.704403e-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 5.684137e-03 1891 1 10 1.000000e+02 1.129771e+02 5.206800e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.206800e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 6.124973e-03 2262 1 10 1.625000e+02 2.794553e+02 5.739284e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.739284e-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, 38] 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 6.280184e-03 2633 1 10 5.487500e+02 4.077574e+02 5.791402e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.791402e-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 7.134914e-03 3004 1 10 6.771875e+02 5.210100e+02 6.182408e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.182408e-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 6.355047e-03 3375 1 10 5.312500e+01 5.938345e+01 4.740191e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.740191e-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 1.053213e+00 235 1 10 1.000000e+01 9.159200e+00 1.196647e+00 310 1 15 1.000000e+01 9.159200e+00 1.383203e+00 385 1 20 1.000000e+01 9.159200e+00 1.539692e+00 460 1 25 1.000000e+01 9.159200e+00 2.390661e+00 695 1 30 4.000000e+00 9.159200e+00 2.550595e+00 770 1 35 1.000000e+01 9.159200e+00 2.696193e+00 845 1 40 1.000000e+01 9.159200e+00 2.860656e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.860656e+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 4.704089e-01 510 1 20 1.000000e+01 6.834387e+00 1.034555e+00 720 1 30 7.000000e+00 6.834387e+00 2.195466e+00 1230 1 40 1.000000e+01 6.823805e+00 2.694527e+00 1440 1 50 3.000000e+00 6.823805e+00 3.962505e+00 1950 1 60 2.000000e+00 6.823805e+00 4.469479e+00 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.469479e+00 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 5.695957e+00 920 1 20 6.049875e+06 2.075240e+06 7.487956e+00 1340 1 30 5.496647e+05 2.078257e+06 1.345396e+01 2260 1 40 3.985383e+04 2.078257e+06 1.521098e+01 2680 1 50 2.994548e+05 2.078257e+06 2.113493e+01 3600 1 60 3.799457e+06 2.078257e+06 2.287394e+01 4020 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.287394e+01 total solves : 4020 best bound : 2.078257e+06 simulation ci : 2.419054e+06 ± 5.154891e+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 1.299572e+06 2.079330e+06 1.180639e+01 920 1 20L 3.984407e+04 2.079401e+06 2.025250e+01 1340 1 30L 5.495606e+05 2.079457e+06 3.254753e+01 2260 1 40L 3.799861e+06 2.079457e+06 4.131072e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.131072e+01 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.720973e+06 ± 5.166660e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl hydro_valley.jl: Test Failed at /home/pkgeval/.julia/packages/SDDP/mqTVN/docs/src/examples/hydro_valley.jl:228 Expression: ≈(SDDP.calculate_bound(deterministic_model), 835.0, atol = 0.001) Evaluated: 833.3333333333333 ≈ 835.0 (atol=0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] test_hydro_valley_model() @ Main ~/.julia/packages/SDDP/mqTVN/docs/src/examples/hydro_valley.jl:228 [3] top-level scope @ ~/.julia/packages/SDDP/mqTVN/docs/src/examples/hydro_valley.jl:306 [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [5] IncludeInto @ ./Base.jl:302 [inlined] [6] macro expansion @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:16 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [8] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:14 hydro_valley.jl: Test Failed at /home/pkgeval/.julia/packages/SDDP/mqTVN/docs/src/examples/hydro_valley.jl:238 Expression: ≈(SDDP.calculate_bound(markov_model), 851.8, atol = 0.01) Evaluated: 849.9 ≈ 851.8 (atol=0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] test_hydro_valley_model() @ Main ~/.julia/packages/SDDP/mqTVN/docs/src/examples/hydro_valley.jl:238 [3] top-level scope @ ~/.julia/packages/SDDP/mqTVN/docs/src/examples/hydro_valley.jl:306 [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [5] IncludeInto @ ./Base.jl:302 [inlined] [6] macro expansion @ ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:16 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [8] util_test_directory(dir::String, exclude::Vector{String}) @ Main ~/.julia/packages/SDDP/mqTVN/test/runtests.jl:14 [ 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 2.410852e+00 1914 1 200 0.000000e+00 1.191645e+02 2.744657e+00 3840 1 300 7.500000e+01 1.191666e+02 3.119136e+00 5738 1 328 2.500000e+00 1.191667e+02 3.198250e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.198250e+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 4.483960e-01 2806 1 200 0.000000e+00 1.191666e+02 9.614799e-01 4749 1 287 5.000000e+00 1.191667e+02 1.347829e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.347829e+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 9.634304e-02 1033 1 20 8.000000e+00 2.000000e+01 1.207101e-01 1209 1 30 1.200000e+01 2.000000e+01 2.388141e-01 2304 1 40 3.000000e+01 2.000000e+01 3.183360e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.183360e-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 3.705025e-03 3 1 40 2.000000e+00 2.000000e+00 7.834387e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.834387e-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 7.406318e-01 1350 1 20 5.062500e+00 4.110713e+00 9.047630e-01 2700 1 30 4.500000e+00 4.104200e+00 1.079945e+00 4050 1 40 3.812500e+00 4.102669e+00 1.275264e+00 5400 1 50 4.725000e+00 4.095504e+00 1.569278e+00 6750 1 60 4.050000e+00 4.092999e+00 1.783281e+00 8100 1 70 4.606250e+00 4.091524e+00 1.994130e+00 9450 1 80 3.875000e+00 4.089694e+00 2.218817e+00 10800 1 90 3.750000e+00 4.089490e+00 2.435379e+00 12150 1 100 5.125000e+00 4.087894e+00 2.658708e+00 13500 1 110 4.500000e+00 4.087478e+00 2.901132e+00 14850 1 120 3.650000e+00 4.086704e+00 3.140979e+00 16200 1 130 4.406250e+00 4.086063e+00 3.376474e+00 17550 1 140 3.375000e+00 4.085981e+00 3.603018e+00 18900 1 150 3.000000e+00 4.085945e+00 3.835487e+00 20250 1 160 3.812500e+00 4.085838e+00 4.089021e+00 21600 1 170 4.250000e+00 4.085728e+00 4.344353e+00 22950 1 180 3.243750e+00 4.085593e+00 4.598705e+00 24300 1 190 4.306250e+00 4.085487e+00 4.849194e+00 25650 1 200 5.237500e+00 4.085446e+00 5.110797e+00 27000 1 210 4.500000e+00 4.085441e+00 5.385799e+00 28350 1 220 3.612500e+00 4.085405e+00 5.650111e+00 29700 1 230 3.700000e+00 4.085382e+00 5.929827e+00 31050 1 240 3.437500e+00 4.085254e+00 6.199178e+00 32400 1 250 4.100000e+00 4.085115e+00 6.452455e+00 33750 1 260 3.000000e+00 4.084973e+00 6.804333e+00 35100 1 270 4.918750e+00 4.084943e+00 7.146432e+00 36450 1 280 2.756250e+00 4.084920e+00 7.424914e+00 37800 1 290 3.737500e+00 4.084868e+00 7.689269e+00 39150 1 300 5.750000e+00 4.084868e+00 7.978746e+00 40500 1 310 5.156250e+00 4.084858e+00 8.273800e+00 41850 1 320 3.131250e+00 4.084855e+00 8.556258e+00 43200 1 330 4.125000e+00 4.084846e+00 8.829211e+00 44550 1 340 5.875000e+00 4.084820e+00 9.117041e+00 45900 1 350 4.587500e+00 4.084810e+00 9.408357e+00 47250 1 360 5.087500e+00 4.084805e+00 9.717918e+00 48600 1 370 4.393750e+00 4.084802e+00 1.000899e+01 49950 1 380 4.750000e+00 4.084792e+00 1.029171e+01 51300 1 390 4.437500e+00 4.084785e+00 1.058440e+01 52650 1 400 4.181250e+00 4.084785e+00 1.087478e+01 54000 1 410 3.650000e+00 4.084777e+00 1.117966e+01 55350 1 420 3.750000e+00 4.084769e+00 1.149076e+01 56700 1 430 3.725000e+00 4.084762e+00 1.178977e+01 58050 1 440 4.218750e+00 4.084751e+00 1.209407e+01 59400 1 450 5.500000e+00 4.084751e+00 1.241385e+01 60750 1 460 3.637500e+00 4.084747e+00 1.271982e+01 62100 1 470 2.993750e+00 4.084743e+00 1.303326e+01 63450 1 480 5.237500e+00 4.084743e+00 1.344183e+01 64800 1 490 4.212500e+00 4.084743e+00 1.374637e+01 66150 1 500 3.843750e+00 4.084743e+00 1.404522e+01 67500 1 510 3.425000e+00 4.084743e+00 1.433730e+01 68850 1 520 4.293750e+00 4.084743e+00 1.462914e+01 70200 1 530 2.818750e+00 4.084740e+00 1.495642e+01 71550 1 540 4.668750e+00 4.084740e+00 1.527282e+01 72900 1 550 2.750000e+00 4.084740e+00 1.559202e+01 74250 1 560 4.100000e+00 4.084740e+00 1.592130e+01 75600 1 570 3.200000e+00 4.084738e+00 1.624719e+01 76950 1 580 3.525000e+00 4.084738e+00 1.657921e+01 78300 1 590 3.125000e+00 4.084738e+00 1.689052e+01 79650 1 600 4.875000e+00 4.084736e+00 1.723250e+01 81000 1 610 4.050000e+00 4.084736e+00 1.755488e+01 82350 1 620 4.750000e+00 4.084733e+00 1.787083e+01 83700 1 630 3.687500e+00 4.084733e+00 1.820038e+01 85050 1 640 3.875000e+00 4.084733e+00 1.853971e+01 86400 1 650 3.625000e+00 4.084733e+00 1.886943e+01 87750 1 660 3.500000e+00 4.084732e+00 1.920341e+01 89100 1 670 4.875000e+00 4.084732e+00 1.954826e+01 90450 1 680 3.925000e+00 4.084732e+00 1.986915e+01 91800 1 685 4.075000e+00 4.084732e+00 2.002467e+01 92475 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.002467e+01 total solves : 92475 best bound : 4.084732e+00 simulation ci : 4.071953e+00 ± 5.753501e-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 5.025000e+00 4.065554e+00 3.538120e-01 1350 1 20 3.687500e+00 4.045350e+00 1.081891e+00 2700 1 30 4.125000e+00 4.043955e+00 2.175582e+00 4050 1 40 4.875000e+00 4.043188e+00 3.490604e+00 5400 1 50 4.025000e+00 4.041139e+00 5.021233e+00 6750 1 60 3.687500e+00 4.038373e+00 6.763642e+00 8100 1 70 3.625000e+00 4.038037e+00 8.767205e+00 9450 1 80 3.075000e+00 4.037945e+00 1.104267e+01 10800 1 90 4.375000e+00 4.037877e+00 1.340611e+01 12150 1 100 4.500000e+00 4.037873e+00 1.618639e+01 13500 1 110 3.625000e+00 4.037860e+00 1.914844e+01 14850 1 113 4.362500e+00 4.037860e+00 2.010817e+01 15255 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.010817e+01 total solves : 15255 best bound : 4.037860e+00 simulation ci : 4.125941e+00 ± 1.447659e-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 4.839994e+00 1680 1 20 2.078810e+00 1.166281e+00 5.354491e+00 2560 1 30 3.973033e+00 1.166907e+00 5.932728e+00 3440 1 40 3.706337e+00 1.167312e+00 1.083460e+01 5120 1 50 3.158565e+00 1.167416e+00 1.142724e+01 6000 1 60 3.642642e+00 1.167416e+00 1.637327e+01 7680 1 70 3.451253e+00 1.167416e+00 1.693515e+01 8560 1 71 2.984727e+00 1.167416e+00 1.698734e+01 8648 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.698734e+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 3.142481e-01 78 1 20 -4.000000e+01 -5.809615e+01 6.551540e-01 148 1 30 -4.000000e+01 -5.809615e+01 1.046113e+00 226 1 40 -4.700000e+01 -5.809615e+01 1.411195e+00 296 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.411195e+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 3.470919e-01 138 1 20 -4.000000e+01 -6.196125e+01 7.151260e-01 258 1 30 -7.500000e+01 -6.196125e+01 1.231159e+00 396 1 40 -4.000000e+01 -6.196125e+01 1.574158e+00 516 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.574158e+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 5.613470e-01 462 1 20 -5.600000e+01 -6.546793e+01 9.703200e-01 852 1 30 -4.000000e+01 -6.546793e+01 2.122379e+00 1314 1 40 -4.000000e+01 -6.546793e+01 2.529734e+00 1704 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.529734e+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 7.213471e-01 11 1 15L 6.000000e+00 8.000000e+00 1.737957e+00 246 1 27L 6.000000e+00 8.000000e+00 2.802968e+00 459 1 40L 6.000000e+00 8.000000e+00 3.818964e+00 602 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.818964e+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 7.935622e-01 6 1 40 1.093500e+05 1.083900e+05 8.415482e-01 240 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.415482e-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 | 2299 3 1 2303 34m41.3s Experimental.jl | 35 35 5m03.1s MSPFormat.jl | 51 51 18.5s algorithm.jl | 40 40 1m19.3s binary_expansion.jl | 38 38 3.1s deterministic_equivalent.jl | 21 21 43.8s modeling_aids.jl | 47 47 16.8s user_interface.jl | 123 123 1m04.3s backward_sampling_schemes.jl | 1203 1203 6.4s bellman_functions.jl | 45 45 1m00.4s duality_handlers.jl | 246 246 1m00.5s forward_passes.jl | 34 34 14.6s local_improvement_search.jl | 12 12 13.5s parallel_schemes.jl | 10 1 11 10m06.9s risk_measures.jl | 91 91 8.8s sampling_schemes.jl | 158 158 28.9s stopping_rules.jl | 40 40 16.5s threaded.jl | 0 0.3s value_functions.jl | 28 28 24.0s visualization.jl | 11 11 6m13.4s FAST_hydro_thermal.jl | 3 3 14.5s FAST_production_management.jl | 2 2 7.5s FAST_quickstart.jl | 2 2 1.5s Hydro_thermal.jl | 0 19.2s StochDynamicProgramming.jl_multistock.jl | 3 3 12.2s StochDynamicProgramming.jl_stock.jl | 3 3 4.6s StructDualDynProg.jl_prob5.2_2stages.jl | 1 1 4.3s StructDualDynProg.jl_prob5.2_3stages.jl | 2 2 2.5s agriculture_mccardle_farm.jl | 1 1 2 18.9s air_conditioning.jl | 6 6 6.1s air_conditioning_forward.jl | 2 2 1.7s all_blacks.jl | 1 1 2.2s asset_management_simple.jl | 1 1 5.0s asset_management_stagewise.jl | 2 2 3.9s belief.jl | 1 1 18.8s biobjective_hydro.jl | 10 10 7.5s booking_management.jl | 2 2 12.1s generation_expansion.jl | 2 2 1m15.3s hydro_valley.jl | 7 2 9 11.5s infinite_horizon_hydro_thermal.jl | 4 4 7.9s infinite_horizon_trivial.jl | 1 1 1.5s no_strong_duality.jl | 1 1 1.4s objective_state_newsvendor.jl | 4 4 51.1s sldp_example_one.jl | 1 1 22.5s sldp_example_two.jl | 3 3 9.3s stochastic_all_blacks.jl | 1 1 7.7s the_farmers_problem.jl | 0 5.8s vehicle_location.jl | 0 0.1s ERROR: LoadError: Some tests did not pass: 2299 passed, 3 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/SDDP/mqTVN/test/runtests.jl:24 Testing failed after 2089.87s ERROR: LoadError: Package SDDP errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.12/Pkg/src/Operations.jl:2359 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2214 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.12/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:159 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:146 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:300 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:329 [12] _start() @ Base ./client.jl:558 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2212.79s: networking-related issues were detected