FMU Analysis

The FMUAnalysis builds an FMU from a Dyad model for use and execution in a myriad of simulation tools.

Method Overview

The Dyad compiler uses the physical description of the system to generate a system of differential-algebraic equations:

$$\begin{array}{rl}{x}^{\prime }& =f(x,y,u,p,t)\\ 0& =g(x,y,u,p,t)\\ & h(x,y,u,p,t)\end{array}$$

where $x$ are the differential variables, $y$ are the algebraic variables, $p$ are the parameters, and $t$ is the independent variable (time). Notably, the difference from the other analyses, such as TransientAnalysis and SteadyStateAnalysis, is the existance of the values $u$ which are the input functions. These u(t) are values which are given by connections in the system in which the FMU connected. Additionally, $h$ is the output function. As such the generated FMU is a causal component defined with only input and output connectors, no acausal connectors.

For a Model Exechange FMU, a binary is created which executes the $(f,g,h)$ functions of the right-hand side from the state and input values. For a Cosimulation FMU, an ODE solver of the form from a TransientAnalysis is embedded into the system. I.e. a Cosimulation FMU is a clocked component which takes a dt and solves using an ODE solver to predict $(x(t),y(t),h(x(t),y(t),u,p,t))$ where the input value $u$ is a constant given at the clock time.

Example Definition

analysis MyFMUAnalysis
  extends DyadFMUGeneration.FMUAnalysis()
  model = BlockComponents.Sine(frequency = 1.0, amplitude = 1.0)
end

The Dyad compiler will generate the MyFMUAnalysis function that will run the analysis.

result = MyFMUAnalysis()

┌ Warning: Assignment to `result` in soft scope is ambiguous because a global variable by the same name exists: `result` will be treated as a new local. Disambiguate by using `local result` to suppress this warning or `global result` to assign to the existing global variable.
└ @ fmugeneration.md:3
[ Info: Sockets is already available in the sysimage.
[ Info: SHA is already available in the sysimage.
[ Info: LinearAlgebra is already available in the sysimage.
[ Info: Artifacts is already available in the sysimage.
[ Info: MKL_jll is not explicitly added to the environment.
[ Info: Random is already available in the sysimage.
[ Info: Libdl is already available in the sysimage.
[ Info: IntelOpenMP_jll is not explicitly added to the environment.
[ Info: libblastrampoline_jll is already available in the sysimage.
[ Info: OpenBLAS_jll is already available in the sysimage.
[ Info: FileWatching is already available in the sysimage.
[ Info: LinearAlgebra is already available in the sysimage.
[ Info: MKL_jll is not explicitly added to the environment.
[ Info: libblastrampoline_jll is already available in the sysimage.
[ Info: Sockets is already available in the sysimage.
[ Info: SHA is already available in the sysimage.
[ Info: Random is already available in the sysimage.
[ Info: Libdl is already available in the sysimage.
[ Info: OpenBLAS_jll is already available in the sysimage.
[ Info: FileWatching is already available in the sysimage.
[ Info: Artifacts is already available in the sysimage.
[ Info: IntelOpenMP_jll is not explicitly added to the environment.
tmppath = "/home/actions-runner-13/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/FMUGenerationjl/compliance_mPrGRz"

7-Zip (a) [64] 17.04 : Copyright (c) 1999-2021 Igor Pavlov : 2017-08-28
p7zip Version 17.04 (locale=en_US.UTF-8,Utf16=on,HugeFiles=on,64 bits,128 CPUs AMD EPYC 9354 32-Core Processor                 (A10F11),ASM,AES-NI)

Scanning the drive:
2 folders, 1 file, 1307 bytes (2 KiB)

Creating archive: test.fmu

Items to compress: 3


Files read from disk: 1
Archive size: 902 bytes (1 KiB)
Everything is Ok
"time"
┌ Info: [INFO][FMUCHK] FMI compliance checker Test [FMILibrary: Test] build date: Jan 21 2022
│ [INFO][FMUCHK] Called with following options:
│ [INFO][FMUCHK] /home/actions-runner-13/.julia/artifacts/ab08fd1439cc31d15b025c2c3a12aaa0b728dda0/bin/fmuCheck -e log.txt -x test.fmu
│ [INFO][FMUCHK] Will process FMU test.fmu
│ [INFO][FMILIB] XML specifies FMI standard version 2.0
│ [INFO][FMI2XML] Found model identifiers for ModelExchange and CoSimulation
│ [INFO][FMUCHK] Model name: Sine
│ [INFO][FMUCHK] Model GUID: a594c591-8555-5f33-9d5d-8460fce7a55b
│ [INFO][FMUCHK] Model version:
│ [INFO][FMUCHK] FMU kind: ModelExchange and CoSimulation
│ [INFO][FMUCHK] The FMU contains:
│ 0 constants
│ 5 parameters
│ 0 discrete variables
│ 0 continuous variables
│ 0 inputs
│ 0 outputs
│ 0 local variables
│ 0 independent variables
│ 0 calculated parameters
│ 5 real variables
│ 0 integer variables
│ 0 enumeration variables
│ 0 boolean variables
│ 0 string variables
│ 
│ [INFO][FMUCHK] Printing output file header
│ FMU check summary:
│ FMU reported:
│ 	0 warning(s) and error(s)
│ Checker reported:
│ 	0 Warning(s)
└ 	0 Error(s)
[ Info: Generating FMU code...
    Updating registry at `~/.julia/registries/JSMLComponents.toml`
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      Compat entries added for TableTraits, Graphs, ConstructionBase, IrrationalConstants, StrideArraysCore, Latexify, ModelingToolkit, NonlinearSolveFirstOrder, RecipesBase, SparseMatrixColorings, Future, ExprTools, CommonSolve, Unityper, PolyesterWeave, ArrayLayouts, MultivariatePolynomials, LinearAlgebra, SciMLJacobianOperators, Combinatorics, ExproniconLite, LibGit2, NetworkOptions, FastPower, Printf, nghttp2_jll, NonlinearSolve, JumpProcesses, CommonSubexpressions, libblastrampoline_jll, StatsBase, ThreadingUtilities, DiffEqNoiseProcess, Logging, DiffEqBase, Downloads, IntervalSets, Zlib_jll, Polyester, GPUArraysCore, SciMLBase, oneTBB_jll, StatsAPI, MacroTools, ResettableStacks, InteractiveUtils, RecursiveArrayTools, Setfield, FillArrays, Accessors, FunctionWrappersWrappers, JuliaSyntax, OrderedCollections, LazyArrays, DataStructures, Compat, Base64, MaybeInplace, SCCNonlinearSolve, Sockets, MLStyle, Markdown, Adapt, CompositeTypes, HypergeometricFunctions, FunctionWrappers, Krylov, BracketingNonlinearSolve, SHA, Format, MbedTLS_jll, FindFirstFunctions, OpenLibm_jll, NonlinearSolveQuasiNewton, URIs, Random, Libdl, ManualMemory, SortingAlgorithms, Optim, Inflate, Serialization, PrecompileTools, TruncatedStacktraces, CloseOpenIntervals, IfElse, LineSearch, Static, DynamicPolynomials, Moshi, DiffEqCallbacks, Unitful, IntegerMathUtils, LibSSH2_jll, OpenBLAS_jll, CpuId, Distributed, LineSearches, DomainSets, FileWatching, DataValueInterfaces, SimpleNonlinearSolve, SharedArrays, CompositionsBase, AbstractTrees, UnPack, MutableArithmetics, TermInterface, MuladdMacro, BitTwiddlingConvenienceFunctions, IteratorInterfaceExtensions, TaskLocalValues, Bijections, FastClosures, SymbolicIndexingInterface, Glob, SpecialFunctions, Requires, SciMLOperators, StringManipulation, Distributions, LogExpFunctions, Primes, EnzymeCore, OpenSpecFun_jll, Missings, ArgTools, SymbolicUtils, Dates, WeakValueDicts, TestItems, PDMats, FastBroadcast, Symbolics, LayoutPointers, MozillaCACerts_jll, NonlinearSolveSpectralMethods, ConcreteStructs, DocStringExtensions, Functors, StaticArrays, PositiveFactorizations, Parameters, NaNMath, LibGit2_jll, Rmath, NonlinearSolveBase, DifferentiationInterface, LaTeXStrings, InverseFunctions, LibCURL, DiffRules, BlockArrays, ChainRulesCore, p7zip_jll, SciMLStructures, Random123, Pkg, DynamicQuantities, ForwardDiff, CPUSummary, SymbolicLimits, OffsetArrays, LinearSolve, EnumX, StatsFuns, CompilerSupportLibraries_jll, RandomNumbers, Tar, UUIDs, StaticArrayInterface, TimerOutputs, SIMDTypes, LazyArtifacts, JLLWrappers, DispatchDoctor, ArnoldiMethod, ArrayInterface, Artifacts, PrettyTables, AliasTables, Test, FiniteDiff, SimpleTraits, SuiteSparse_jll, Mmap, Rmath_jll, NLSolversBase, Preferences, QuadGK, DataAPI, LibCURL_jll, ADTypes, TOML, PoissonRandom, Reexport, CommonWorldInvalidations, Statistics, Tricks, StaticArraysCore, DiffResults, CommonMark, Tables, JuliaFormatter, SparseArrays, Unicode, Crayons, Jieko, PtrArrays, OrdinaryDiffEqDefault, OrdinaryDiffEqVerner, OrdinaryDiffEqCore, PreallocationTools, OrdinaryDiffEqRosenbrock, OrdinaryDiffEqBDF, OrdinaryDiffEqNonlinearSolve, OrdinaryDiffEqTsit5, OrdinaryDiffEqSDIRK, OrdinaryDiffEqDifferentiation, SimpleUnPack
    Updating `~/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/JSDeploymentjl/Uwpy4N/FMIBinary_Uwpy4N.jl/Project.toml`
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    Updating `~/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/JSDeploymentjl/Uwpy4N/FMIBinary_Uwpy4N.jl/Manifest.toml`
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⌅ [aea7be01] + PrecompileTools v1.2.1
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⌃ [731186ca] + RecursiveArrayTools v3.33.0
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⌃ [7e49a35a] + RuntimeGeneratedFunctions v0.5.14
⌃ [9dfe8606] + SCCNonlinearSolve v1.2.0
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⌃ [0bca4576] + SciMLBase v2.96.0
⌃ [19f34311] + SciMLJacobianOperators v0.1.6
⌅ [c0aeaf25] + SciMLOperators v0.4.0
  [53ae85a6] + SciMLStructures v1.7.0
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⌃ [727e6d20] + SimpleNonlinearSolve v2.5.0
⌃ [699a6c99] + SimpleTraits v0.9.4
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⌃ [a2af1166] + SortingAlgorithms v1.2.1
⌃ [0a514795] + SparseMatrixColorings v0.4.20
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⌃ [90137ffa] + StaticArrays v1.9.13
  [1e83bf80] + StaticArraysCore v1.4.3
  [10745b16] + Statistics v1.11.1
⌃ [82ae8749] + StatsAPI v1.7.0
⌃ [2913bbd2] + StatsBase v0.34.5
  [4c63d2b9] + StatsFuns v1.5.0
  [7792a7ef] + StrideArraysCore v0.5.7
  [892a3eda] + StringManipulation v0.4.1
⌃ [2efcf032] + SymbolicIndexingInterface v0.3.40
  [19f23fe9] + SymbolicLimits v0.2.2
⌃ [d1185830] + SymbolicUtils v3.27.0
⌃ [0c5d862f] + Symbolics v6.40.0
  [3783bdb8] + TableTraits v1.0.1
⌃ [bd369af6] + Tables v1.12.0
⌃ [ed4db957] + TaskLocalValues v0.1.2
  [8ea1fca8] + TermInterface v2.0.0
  [1c621080] + TestItems v1.0.0
⌃ [8290d209] + ThreadingUtilities v0.5.4
  [a759f4b9] + TimerOutputs v0.5.29
⌃ [410a4b4d] + Tricks v0.1.10
  [781d530d] + TruncatedStacktraces v1.4.0
⌃ [5c2747f8] + URIs v1.5.2
  [3a884ed6] + UnPack v1.0.2
⌃ [1986cc42] + Unitful v1.22.1
  [a7c27f48] + Unityper v0.1.6
  [3d5dd08c] + VectorizationBase v0.21.71
  [897b6980] + WeakValueDicts v0.1.0
  [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0
  [856f044c] + MKL_jll v2025.2.0+0
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [1317d2d5] + oneTBB_jll v2022.0.0+0
  [0dad84c5] + ArgTools v1.1.2
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [f43a241f] + Downloads v1.6.0
  [7b1f6079] + FileWatching v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [4af54fe1] + LazyArtifacts v1.11.0
  [b27032c2] + LibCURL v0.6.4
  [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
  [44cfe95a] + Pkg v1.11.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [1a1011a3] + SharedArrays v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.11.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [a4e569a6] + Tar v1.10.0
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] + LibCURL_jll v8.6.0+0
  [e37daf67] + LibGit2_jll v1.7.2+0
  [29816b5a] + LibSSH2_jll v1.11.0+1
  [c8ffd9c3] + MbedTLS_jll v2.28.6+0
  [14a3606d] + MozillaCACerts_jll v2023.12.12
  [4536629a] + OpenBLAS_jll v0.3.27+1
  [05823500] + OpenLibm_jll v0.8.5+0
  [bea87d4a] + SuiteSparse_jll v7.7.0+0
  [83775a58] + Zlib_jll v1.2.13+1
  [8e850b90] + libblastrampoline_jll v5.11.0+0
  [8e850ede] + nghttp2_jll v1.59.0+0
  [3f19e933] + p7zip_jll v17.4.0+2
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`
[ Info: Code generation complete.
[ Info: Compiling FMU...
PackageCompiler: bundled libraries:
  ├── Base:
  │    ├── libLLVM-16jl.so - 101.440 MiB
  │    ├── libatomic.so.1.2.0 - 160.023 KiB
  │    ├── libdSFMT.so - 21.602 KiB
  │    ├── libgcc_s.so.1 - 714.164 KiB
  │    ├── libgfortran.so.5.0.0 - 9.078 MiB
  │    ├── libgmp.so.10.5.0 - 707.688 KiB
  │    ├── libgmpxx.so.4.7.0 - 36.445 KiB
  │    ├── libgomp.so.1.0.0 - 1.410 MiB
  │    ├── libjulia-codegen.so.1.11.5 - 73.157 MiB
  │    ├── libjulia-internal.so.1.11.5 - 13.224 MiB
  │    ├── libmpfr.so.6.2.1 - 2.410 MiB
  │    ├── libopenlibm.so.4.0 - 248.109 KiB
  │    ├── libpcre2-8.so.0.11.2 - 652.771 KiB
  │    ├── libquadmath.so.0.0.0 - 980.492 KiB
  │    ├── libssp.so.0.0.0 - 35.531 KiB
  │    ├── libstdc++.so.6.0.33 - 2.472 MiB
  │    ├── libunwind.so.8.0.1 - 512.164 KiB
  │    ├── libuv.so.2.0.0 - 653.641 KiB
  │    ├── libz.so.1.2.13 - 116.028 KiB
  │    ├── libjulia.so.1.11.5 - 257.258 KiB
  ├── Stdlibs:
  │   ├── OpenBLAS_jll
  │   │   ├── libopenblas64_.0.3.27.so - 34.036 MiB
  │   ├── LibCURL_jll
  │   │   ├── libcurl.so.4.8.0 - 742.367 KiB
  │   ├── LibGit2_jll
  │   │   ├── libgit2.so.1.7.2 - 1.639 MiB
  │   ├── nghttp2_jll
  │   │   ├── libnghttp2.so.14.26.0 - 740.215 KiB
  │   ├── SuiteSparse_jll
  │   │   ├── libamd.so.3.3.2 - 38.696 KiB
  │   │   ├── libbtf.so.2.3.2 - 12.875 KiB
  │   │   ├── libcamd.so.3.3.2 - 43.351 KiB
  │   │   ├── libccolamd.so.3.3.3 - 46.588 KiB
  │   │   ├── libcholmod.so.5.2.1 - 2.056 MiB
  │   │   ├── libcolamd.so.3.3.3 - 30.669 KiB
  │   │   ├── libklu.so.2.3.3 - 209.354 KiB
  │   │   ├── libldl.so.3.3.2 - 12.974 KiB
  │   │   ├── librbio.so.4.3.2 - 64.807 KiB
  │   │   ├── libspqr.so.4.3.3 - 425.119 KiB
  │   │   ├── libsuitesparseconfig.so.7.7.0 - 14.906 KiB
  │   │   ├── libumfpack.so.6.3.3 - 805.230 KiB
  │   ├── libblastrampoline_jll
  │   │   ├── libblastrampoline.so.5 - 2.837 MiB
  │   ├── MbedTLS_jll
  │   │   ├── libmbedcrypto.so.2.28.6 - 641.504 KiB
  │   │   ├── libmbedtls.so.2.28.6 - 287.055 KiB
  │   │   ├── libmbedx509.so.2.28.6 - 174.648 KiB
  │   ├── LibSSH2_jll
  │   │   ├── libssh2.so.1.0.1 - 311.484 KiB
  Total library file size: 253.230 MiB
PackageCompiler: bundled artifacts:
  ├── OpenSpecFun_jll - 545.579 KiB
  ├── Rmath_jll - 269.463 KiB
  └── oneTBB_jll - 1.927 MiB
  Total artifact file size: 2.723 MiB
- PackageCompiler: creating compiler .ji image (incremental=false)
- PackageCompiler: compiling fresh sysimage (incremental=false)
- PackageCompiler: compiling nonincremental system image
Precompiling Pkg...
    972.0 ms  ✓ NetworkOptions
    428.9 ms  ✓ MozillaCACerts_jll
    433.0 ms  ✓ Logging
    436.0 ms  ✓ p7zip_jll
    441.3 ms  ✓ UUIDs
    439.2 ms  ✓ Unicode
    453.3 ms  ✓ Zlib_jll
    462.3 ms  ✓ MbedTLS_jll
    465.9 ms  ✓ nghttp2_jll
    497.2 ms  ✓ Base64
    883.7 ms  ✓ ArgTools
    468.9 ms  ✓ LibSSH2_jll
    514.5 ms  ✓ Printf
    451.4 ms  ✓ LibCURL_jll
    474.1 ms  ✓ LibGit2_jll
    601.3 ms  ✓ Tar
    607.9 ms  ✓ LibCURL
   1610.1 ms  ✓ Markdown
   1413.6 ms  ✓ Dates
    554.5 ms  ✓ TOML
   1553.0 ms  ✓ LibGit2
   1877.1 ms  ✓ Downloads
  25516.8 ms  ✓ Pkg
  23 dependencies successfully precompiled in 32 seconds
Precompiling project...
    416.8 ms  ✓ SimpleUnPack
    447.6 ms  ✓ MuladdMacro
    446.6 ms  ✓ ConcreteStructs
    445.7 ms  ✓ LaTeXStrings
    442.8 ms  ✓ IteratorInterfaceExtensions
    441.0 ms  ✓ Future
    456.0 ms  ✓ ExprTools
    461.7 ms  ✓ Tricks
    465.2 ms  ✓ Glob
    475.1 ms  ✓ StatsAPI
    490.9 ms  ✓ PositiveFactorizations
    597.0 ms  ✓ FunctionWrappers
    608.3 ms  ✓ ADTypes
    734.4 ms  ✓ OffsetArrays
    767.6 ms  ✓ Combinatorics
    419.5 ms  ✓ UnPack
    432.4 ms  ✓ OpenLibm_jll
    436.5 ms  ✓ IntegerMathUtils
    416.3 ms  ✓ CommonSolve
    457.9 ms  ✓ InverseFunctions
    467.3 ms  ✓ CompilerSupportLibraries_jll
    566.6 ms  ✓ Serialization
    555.5 ms  ✓ Statistics
    451.2 ms  ✓ SuiteSparse_jll
    447.0 ms  ✓ ManualMemory
    820.3 ms  ✓ Format
    812.0 ms  ✓ FillArrays
    400.4 ms  ✓ DataValueInterfaces
    452.2 ms  ✓ PoissonRandom
    470.3 ms  ✓ CompositeTypes
    503.0 ms  ✓ Requires
    443.7 ms  ✓ EnumX
   1410.4 ms  ✓ ExproniconLite
    407.0 ms  ✓ SIMDTypes
    425.9 ms  ✓ Reexport
    570.1 ms  ✓ OrderedCollections
    809.1 ms  ✓ RandomNumbers
    529.9 ms  ✓ DocStringExtensions
    437.8 ms  ✓ WeakValueDicts
    540.7 ms  ✓ AbstractTrees
    467.9 ms  ✓ Mmap
    410.0 ms  ✓ TestItems
    505.5 ms  ✓ IntervalSets
    426.9 ms  ✓ CompositionsBase
    418.0 ms  ✓ PtrArrays
    414.9 ms  ✓ FastPower
    417.9 ms  ✓ TaskLocalValues
    547.2 ms  ✓ URIs
   1272.3 ms  ✓ MacroTools
    498.0 ms  ✓ Inflate
    818.9 ms  ✓ IrrationalConstants
    406.8 ms  ✓ IfElse
    619.0 ms  ✓ EnzymeCore
    481.5 ms  ✓ ConstructionBase
    430.3 ms  ✓ CommonWorldInvalidations
    430.3 ms  ✓ DataAPI
    428.2 ms  ✓ FastClosures
    421.5 ms  ✓ TermInterface
    441.5 ms  ✓ FindFirstFunctions
    466.2 ms  ✓ StaticArraysCore
    431.9 ms  ✓ Bijections
    547.1 ms  ✓ LoggingExtras
    427.9 ms  ✓ TableTraits
    877.2 ms  ✓ Crayons
    620.9 ms  ✓ CpuId
    445.0 ms  ✓ FunctionWrappersWrappers
    551.0 ms  ✓ Preferences
    551.1 ms  ✓ Compat
    516.6 ms  ✓ NaNMath
    566.0 ms  ✓ Primes
    927.4 ms  ✓ InteractiveUtils
    479.4 ms  ✓ InverseFunctions → InverseFunctionsDatesExt
    849.5 ms  ✓ DifferentiationInterface
    469.4 ms  ✓ RuntimeGeneratedFunctions
    956.6 ms  ✓ LazyArtifacts
    474.0 ms  ✓ FillArrays → FillArraysStatisticsExt
    489.1 ms  ✓ Adapt
   1070.9 ms  ✓ TimerOutputs
    705.3 ms  ✓ ThreadingUtilities
    485.7 ms  ✓ Parameters
    447.9 ms  ✓ IntervalSets → IntervalSetsRandomExt
    448.8 ms  ✓ IntervalSets → IntervalSetsStatisticsExt
    456.3 ms  ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt
    493.8 ms  ✓ AliasTables
   1182.4 ms  ✓ Distributed
    974.7 ms  ✓ Jieko
    451.5 ms  ✓ ADTypes → ADTypesEnzymeCoreExt
    794.2 ms  ✓ Random123
    626.4 ms  ✓ CommonSubexpressions
    639.8 ms  ✓ LogExpFunctions
    473.5 ms  ✓ ConstructionBase → ConstructionBaseIntervalSetsExt
    453.6 ms  ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt
    448.8 ms  ✓ ADTypes → ADTypesConstructionBaseExt
    490.8 ms  ✓ Missings
    466.7 ms  ✓ DiffResults
    485.7 ms  ✓ PrecompileTools
    522.5 ms  ✓ JLLWrappers
    465.8 ms  ✓ Compat → CompatLinearAlgebraExt
    555.1 ms  ✓ TruncatedStacktraces
    730.4 ms  ✓ Tables
    547.1 ms  ✓ ArrayInterface
    500.1 ms  ✓ GPUArraysCore
    473.7 ms  ✓ OffsetArrays → OffsetArraysAdaptExt
    470.7 ms  ✓ EnzymeCore → AdaptExt
   1123.6 ms  ✓ DispatchDoctor
    998.9 ms  ✓ SimpleTraits
    476.1 ms  ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt
    660.1 ms  ✓ SharedArrays
    635.3 ms  ✓ Unityper
   2802.9 ms  ✓ SparseArrays
   1887.4 ms  ✓ Test
    801.2 ms  ✓ Static
   1154.9 ms  ✓ Setfield
    664.7 ms  ✓ Rmath_jll
   1029.7 ms  ✓ RecipesBase
   2089.1 ms  ✓ Latexify
   1178.8 ms  ✓ StringManipulation
   1565.5 ms  ✓ Accessors
    776.4 ms  ✓ oneTBB_jll
   1171.3 ms  ✓ IntelOpenMP_jll
    707.5 ms  ✓ Functors
   6265.9 ms  ✓ JuliaSyntax
    501.5 ms  ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt
    460.4 ms  ✓ SciMLStructures
    783.8 ms  ✓ MaybeInplace
   1104.8 ms  ✓ ChainRulesCore
   1132.2 ms  ✓ OpenSpecFun_jll
    462.9 ms  ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt
    460.3 ms  ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt
    504.8 ms  ✓ DispatchDoctor → DispatchDoctorEnzymeCoreExt
   1441.7 ms  ✓ DataStructures
    614.0 ms  ✓ SuiteSparse
    719.3 ms  ✓ Statistics → SparseArraysExt
    671.2 ms  ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt
    699.9 ms  ✓ FillArrays → FillArraysSparseArraysExt
    631.3 ms  ✓ Adapt → AdaptSparseArraysExt
    672.9 ms  ✓ ArrayInterface → ArrayInterfaceSparseArraysExt
    671.7 ms  ✓ InverseFunctions → InverseFunctionsTestExt
    495.6 ms  ✓ BitTwiddlingConvenienceFunctions
   6866.5 ms  ✓ MLStyle
    732.0 ms  ✓ Rmath
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    836.9 ms  ✓ IntervalSets → IntervalSetsRecipesBaseExt
   1125.6 ms  ✓ StaticArrayInterface
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    753.2 ms  ✓ Accessors → LinearAlgebraExt
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   4583.7 ms  ✓ Moshi
    803.7 ms  ✓ Accessors → IntervalSetsExt
   4238.5 ms  ✓ CommonMark
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    690.8 ms  ✓ MaybeInplace → MaybeInplaceSparseArraysExt
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    484.0 ms  ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt
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   1226.8 ms  ✓ MKL_jll
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    629.2 ms  ✓ SortingAlgorithms
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    699.3 ms  ✓ PolyesterWeave
    882.0 ms  ✓ PDMats
    904.5 ms  ✓ QuadGK
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    515.4 ms  ✓ CloseOpenIntervals
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    658.6 ms  ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt
    645.5 ms  ✓ Adapt → AdaptStaticArraysExt
   1744.8 ms  ✓ SpecialFunctions
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   8758.6 ms  ✓ ArrayLayouts
   4903.7 ms  ✓ Krylov
    543.6 ms  ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt
    660.2 ms  ✓ FiniteDiff → FiniteDiffStaticArraysExt
    673.6 ms  ✓ DynamicQuantities → DynamicQuantitiesLinearAlgebraExt
   9937.9 ms  ✓ Unitful
    670.8 ms  ✓ FillArrays → FillArraysPDMatsExt
    798.7 ms  ✓ DifferentiationInterface → DifferentiationInterfaceSparseMatrixColoringsExt
   1497.2 ms  ✓ SciMLOperators
    603.2 ms  ✓ DiffRules
   1853.2 ms  ✓ DomainSets
    848.9 ms  ✓ StrideArraysCore
    638.0 ms  ✓ Unitful → ConstructionBaseUnitfulExt
    778.2 ms  ✓ ArrayLayouts → ArrayLayoutsSparseArraysExt
    968.7 ms  ✓ HypergeometricFunctions
    619.3 ms  ✓ Unitful → InverseFunctionsUnitfulExt
   1664.7 ms  ✓ StatsBase
    525.4 ms  ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt
   1331.3 ms  ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt
    690.6 ms  ✓ Accessors → UnitfulExt
   1211.7 ms  ✓ BlockArrays
    733.5 ms  ✓ SciMLOperators → SciMLOperatorsSparseArraysExt
   2046.9 ms  ✓ MultivariatePolynomials
   1004.7 ms  ✓ DynamicQuantities → DynamicQuantitiesUnitfulExt
    822.9 ms  ✓ Polyester
    629.2 ms  ✓ BlockArrays → BlockArraysAdaptExt
   1208.9 ms  ✓ StatsFuns
    772.3 ms  ✓ FastBroadcast
    668.3 ms  ✓ StatsFuns → StatsFunsInverseFunctionsExt
   1913.7 ms  ✓ LazyArrays
   1310.9 ms  ✓ DynamicPolynomials
   3108.3 ms  ✓ Graphs
   2407.1 ms  ✓ ForwardDiff
   1221.5 ms  ✓ StatsFuns → StatsFunsChainRulesCoreExt
   3973.3 ms  ✓ VectorizationBase
    923.9 ms  ✓ LazyArrays → LazyArraysBlockArraysExt
    657.5 ms  ✓ FastPower → FastPowerForwardDiffExt
   1074.4 ms  ✓ LazyArrays → LazyArraysStaticArraysExt
    768.4 ms  ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt
    795.0 ms  ✓ PreallocationTools
    816.2 ms  ✓ ForwardDiff → ForwardDiffStaticArraysExt
    918.6 ms  ✓ SLEEFPirates
    986.3 ms  ✓ NLSolversBase
   8568.4 ms  ✓ PrettyTables
   3544.5 ms  ✓ Distributions
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   1114.1 ms  ✓ Distributions → DistributionsChainRulesCoreExt
   1135.4 ms  ✓ Distributions → DistributionsTestExt
   1591.9 ms  ✓ RecursiveArrayTools
   2149.1 ms  ✓ Optim
    844.5 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt
    844.4 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt
    903.2 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt
  14891.8 ms  ✓ JuliaFormatter
  10078.6 ms  ✓ LoopVectorization
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   1064.4 ms  ✓ SciMLBase → SciMLBaseMLStyleExt
  10930.0 ms  ✓ SymbolicUtils
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   2245.7 ms  ✓ DiffEqBase
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   1202.7 ms  ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt
   1238.9 ms  ✓ DiffEqBase → DiffEqBaseUnitfulExt
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   1377.6 ms  ✓ DiffEqBase → DiffEqBaseForwardDiffExt
   1644.7 ms  ✓ SymbolicLimits
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   2850.7 ms  ✓ LineSearch
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   3187.2 ms  ✓ Octavian → ForwardDiffExt
   1102.6 ms  ✓ LineSearch → LineSearchLineSearchesExt
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   3134.7 ms  ✓ DiffEqNoiseProcess
   4795.8 ms  ✓ NonlinearSolveBase
   6320.2 ms  ✓ LinearSolve
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   1127.1 ms  ✓ NonlinearSolveBase → NonlinearSolveBaseDiffEqBaseExt
   1179.4 ms  ✓ NonlinearSolveBase → NonlinearSolveBaseSparseMatrixColoringsExt
   1263.6 ms  ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt
   1369.7 ms  ✓ LinearSolve → LinearSolveEnzymeExt
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   2545.7 ms  ✓ BracketingNonlinearSolve
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   3892.7 ms  ✓ OrdinaryDiffEqTsit5
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   1197.3 ms  ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt
   4714.6 ms  ✓ NonlinearSolveSpectralMethods
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  12391.5 ms  ✓ Symbolics
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  58424.5 ms  ✓ ModelingToolkit
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  298 dependencies successfully precompiled in 125 seconds. 23 already precompiled.
[ Info: PackageCompiler: Executing /home/actions-runner-13/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/JSDeploymentjl/Uwpy4N/FMIBinary_Uwpy4N.jl/src/fmu_precompilation.jl => /home/actions-runner-13/tmp/jl_packagecompiler_EPEerQ/jl_VVU09q
[ Info: Deserializing
[ Info: Finished deserializing
[ Info: Precompiling
[ Info: Finished instantiating
[ Info: Doing dry run of state_initializer
[ Info: Doing dry run of ode_function
[ Info: Doing dry run of observables_function
[ Info: Doing dry run of cosimulator
ERROR: LoadError: MethodError: Cannot `convert` an object of type Vector{Float64} to an object of type Float64
The function `convert` exists, but no method is defined for this combination of argument types.

Closest candidates are:
  convert(::Type{T}, ::VectorizationBase.LazyMulAdd{M, O, I}) where {M, O, I, T<:Number}
   @ VectorizationBase ~/.julia/packages/VectorizationBase/wHnQd/src/lazymul.jl:25
  convert(::Type{T}, ::Union{Static.StaticBool{N}, Static.StaticFloat64{N}, Static.StaticInt{N}} where N) where T<:Number
   @ Static ~/.julia/packages/Static/SeEGr/src/Static.jl:427
  convert(::Type{T}, ::VectorizationBase.AbstractSIMD) where T<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, SIMDTypes.Bit}
   @ VectorizationBase ~/.julia/packages/VectorizationBase/wHnQd/src/base_defs.jl:201
  ...

Stacktrace:
 [1] setproperty!(x::DiffEqBase.NullODEIntegrator{true, SciMLBase.ODEProblem{Nothing, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Float64, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Nothing, Nothing, SciMLBase.ODEProblem{Nothing, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Nothing, SciMLBase.LinearInterpolation{Vector{Float64}, Vector{Vector{Float64}}}, Nothing, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Float64}}, f::Symbol, v::Vector{Float64})
   @ Base ./Base.jl:52
 [2] step!(integ::DiffEqBase.NullODEIntegrator{true, SciMLBase.ODEProblem{Nothing, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Float64, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Nothing, Nothing, SciMLBase.ODEProblem{Nothing, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Nothing, SciMLBase.LinearInterpolation{Vector{Float64}, Vector{Vector{Float64}}}, Nothing, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Float64}}, dt::Nothing, stop_at_tdt::Bool)
   @ DiffEqBase ~/.julia/packages/DiffEqBase/qvEPa/src/solve.jl:709
 [3] step!(integ::DiffEqBase.NullODEIntegrator{true, SciMLBase.ODEProblem{Nothing, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Float64, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Nothing, Nothing, SciMLBase.ODEProblem{Nothing, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Nothing, SciMLBase.LinearInterpolation{Vector{Float64}, Vector{Vector{Float64}}}, Nothing, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, FMIBinary_Uwpy4N.var"#f#10"{@NamedTuple{ode_function::FMIBinary_Uwpy4N.var"#26#32", state_initializer::FMIBinary_Uwpy4N.var"#28#34", observables_function::FMIBinary_Uwpy4N.var"#29#35", cosimulator::Nothing}, Int64}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Float64}})
   @ DiffEqBase ~/.julia/packages/DiffEqBase/qvEPa/src/solve.jl:706
 [4] (::FMIBinary_Uwpy4N.CoSimulator{:full_model})(inputs::Vector{Float64}, dt::Float64)
   @ FMIBinary_Uwpy4N ~/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/JSDeploymentjl/Uwpy4N/FMIBinary_Uwpy4N.jl/src/cosimulator.jl:61
 [5] precompile!()
   @ FMIBinary_Uwpy4N ~/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/JSDeploymentjl/Uwpy4N/FMIBinary_Uwpy4N.jl/src/FMIBinary_Uwpy4N.jl:123
 [6] top-level scope
   @ ~/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/JSDeploymentjl/Uwpy4N/FMIBinary_Uwpy4N.jl/src/fmu_precompilation.jl:8
in expression starting at /home/actions-runner-13/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/JSDeploymentjl/Uwpy4N/FMIBinary_Uwpy4N.jl/src/fmu_precompilation.jl:8
failed process: Process(setenv(`/home/actions-runner-13/actions-runner/_work/_tool/julia/1.11.5/x64/bin/julia --color=yes --startup-file=no --pkgimages=no --sysimage=/home/actions-runner-13/tmp/jl_DCw8e4/tmp_sys.so --compile=all --trace-compile=/home/actions-runner-13/tmp/jl_packagecompiler_EPEerQ/jl_VVU09q /home/actions-runner-13/.julia/scratchspaces/ca28fe3e-7809-4c0f-9d3e-a21c6e6f3e9d/JSDeploymentjl/Uwpy4N/FMIBinary_Uwpy4N.jl/src/fmu_precompilation.jl`,["PATH=/home/actions-runner-13/actions-runner/_work/_tool/julia/1.11.5/x64/bin:/home/actions-runner-13/actions-runner/_work/_tool/node/22.18.0/x64/bin:/home/actions-runner-13/.nix-profile/bin:/nix/var/nix/profiles/default/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin", "GITHUB_RUN_NUMBER=659", "GITHUB_REF_NAME=main", "RUNNER_ARCH=X64", "GKS_ENCODING=utf8", "DBUS_SESSION_BUS_ADDRESS=unix:path=/run/user/123/bus", "GKS_USE_CAIRO_PNG=true", "GITHUB_REPOSITORY_ID=972158035", "GITHUB_ACTOR=asinghvi17", "TMP=/home/actions-runner-13/tmp", "GITHUB_WORKFLOW_REF=JuliaComputing/DyadDocs/.github/workflows/CI.yml@refs/heads/main", "SSH_AGENT_PID=3752019", "SYSTEMD_EXEC_PID=2129467", "RUNNER_ENVIRONMENT=self-hosted", "NODE_AUTH_TOKEN=ghs_sgE6vxuov5IVl2bw8FHOUpNOOhr9xA1NCbdQ", "OPENBLAS_DEFAULT_NUM_THREADS=1", "JULIA_PKG_USE_CLI_GIT=true", "USER=actions-runner-13", "LIBDECOR_PLUGIN_DIR=/home/actions-runner-13/.julia/artifacts/38e215c51e5c0f77bc7a8813ba4586632a8fc750/lib/libdecor/plugins-1", "GITHUB_REF_PROTECTED=true", "GITHUB_SHA=fb49d6a4abb57b650625dead89085e3fb26f838f", "GKSwstype=", "GITHUB_API_URL=https://api.github.com", "GITHUB_RUN_ATTEMPT=2", "GITHUB_ACTIONS=true", "GITHUB_ENV=/home/actions-runner-13/actions-runner/_work/_temp/_runner_file_commands/set_env_9b450d2d-e8a9-4faf-a493-2cfdcb9e362c", "XDG_DATA_DIRS=/usr/local/share/:/usr/share/:/var/lib/snapd/desktop", "SHELL=/bin/bash", "ROWS=10", "RUNNER_NAME=demeter5-actions-runner-13", "TMPDIR=/home/actions-runner-13/tmp", "GITHUB_RUN_ID=16836899224", "GITHUB_HEAD_REF=", "GITHUB_RETENTION_DAYS=90", "DOCKER_HOST=unix:///run/user/123/docker.sock", "GITHUB_SERVER_URL=https://github.com", "GITHUB_OUTPUT=/home/actions-runner-13/actions-runner/_work/_temp/_runner_file_commands/set_output_9b450d2d-e8a9-4faf-a493-2cfdcb9e362c", "GITHUB_JOB=docs", "MANAGERPID=2082388", "RUNNER_TRACKING_ID=github_d47acab4-687f-439c-ac54-a1396db6ff01", "RUNNER_TOOL_CACHE=/home/actions-runner-13/actions-runner/_work/_tool", "GSM_SKIP_SSH_AGENT_WORKAROUND=true", "GITHUB_ACTION_REPOSITORY=", "GITHUB_WORKFLOW=CI", "GITHUB_ACTION=__run_5", "HOME=/home/actions-runner-13", "GITHUB_EVENT_PATH=/home/actions-runner-13/actions-runner/_work/_temp/_github_workflow/event.json", "DYAD_DOCS_DRAFT=false", "GITHUB_STEP_SUMMARY=/home/actions-runner-13/actions-runner/_work/_temp/_runner_file_commands/step_summary_9b450d2d-e8a9-4faf-a493-2cfdcb9e362c", "DYAD_CLI_PATH=/home/actions-runner-13/actions-runner/_work/DyadDocs/DyadDocs/dyad", 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/home/actions-runner-13/.julia/artifacts/66ca7b28f1bbc22b343c23ceede5b1dfe67c1364/bin/gksqt"]), ProcessExited(1)) [1]

This builds an FMU. The path for the FMU is given as an artifact:

using Main.var"##build/.dyad/analyses/fmugenerationDyadHygiene#299".FMUAnalysisIntro # hide
using DyadInterface
fmu_path = artifacts(result, :FMU)

Analysis Arguments

Required Arguments

• model: the Dyad model that the analysis is being applied to.

Optional Arguments

• version::String: the FMU version to use. Defaults to "FMI_V2", with the other possible choice being "FMI_V3".

• type::String: the type of FMU to build. Choices are "FMI_ME" for Model Exchange, "FMI_CS" for Cosimulation, or "FMI_BOTH" for a binary which has both embedded within it.

• alg::String: chooses the solver algorithm for the solution process of the Cosimulation FMU. The default is "auto". The choices are:

  • "auto" - Automatic algorithm choice with stiffness detection, size detection, and linear solve swapping from OrdinaryDiffEq.jl.

  • "Rodas5P" - Adaptive time Rosenbrock method from OrdinaryDiffEqRosenbrock.jl. The Rosenbrock methods are specifically fast for small systems of stiff equations and DAEs which avoid Jacobian singularity issues (i.e. no variable-index DAE behavior).

  • "FBDF" - Adaptive order, adaptive time fixed leading coefficient backwards differentiation formulae (BDF) method from OrdinaryDiffEqBDF.jl, modeled after the FLC formulation of VODE. This is a good method for large stiff systems and DAEs.

  • "Tsit5" - 5th order explicit Runge-Kutta method from OrdinaryDiffEqTsit5.jl. This method is not applicable to DAEs and is only applicable to systems which have no algebraic constraints (post simplification).

• n_inputs::Integer: the number of inputs, i.e. the length of the $u(t)$ vector.

• inputs::String[n_inputs]: the variables of the Dyad model which will be defined by the inputs. The ordering of the vector needs to match the ordering of the $u(t)$ vector definition.

• n_outputs::Integer: the number of outputs, i.e. the length of the output of $h$.

• outputs::String[n_outputs]: the names of the variables to include in the output vector $h$. The ordering of the vector needs to match the ordering of $h$.

Artifacts

The FMUAnalysis returns the following artifacts:

Standard Artifacts

• :FMU: A string for the path to the generated FMU.