| Total | Frontend | Backend | SimCode | Templates | Compilation | Simulation | Verification |
|---|---|---|---|---|---|---|---|
| 2 | 2 | 2 | 2 | 2 | 2 | 2 | 0 |
Test started: 2026-10-06 08:32:39
Total time taken: 0:00:02
System info: r7945-1: AMD Ryzen 9 PRO 7945 12-Core Processor, 63 GB RAM, Ubuntu 26.04.1 LTS
OpenModelica Version: v1.28.0-dev.1285+g6330b5f605.rust
OpenModelicaLibraryTesting Changes
| Commit | Date | Author | Summary |
|---|---|---|---|
| f47ee35 | 2026-10-06 06:59:16 +0200 | Martin Sjölund | Also give the option of r7945-1 for PR testing |
Tested Library: NeuralNetwork_main 2.1.0
{
"path": "NeuralNetwork",
"sha": "5def5523f06e2f178dd430932db15ff0ea394bca",
"support": "noSupport",
"uses": {
"Modelica": "4.1.0"
},
"version": "2.1.0-main",
"zipfile": "https://github.com/AMIT-HSBI/NeuralNetwork/archive/5def5523f06e2f178dd430932db15ff0ea394bca.zip"
}
BuildModel time limit: 660s
Simulation time limit: 240s
Default tolerance: 1e-06
Default number of intervals: 2500
Optimization level: Tool default
Reference Files: https://github.com/AMIT-HSBI/NeuralNetwork (5def5523f06e2f178dd430932db15ff0ea394bca)
| Commit | Date | Author | Summary |
|---|---|---|---|
| 5def552 | 2026-07-23 13:30:28 +0200 | linuslangenkamp | Update Modelica version to 4.1.0 (#33) |
Verified using: v1.28.0-dev.1244+gd409060.cmake (diffSimulationResults)
Flags:setCommandLineOptions("--simCodeTarget=wasm-jit")
setCommandLineOptions("-d=nogen");
setCommandLineOptions("-d=initialization");
setCommandLineOptions("-d=backenddaeinfo");
setCommandLineOptions("-d=discreteinfo");
setCommandLineOptions("-d=stateselection");
setCommandLineOptions("-d=execstat");
setMatchingAlgorithm("PFPlusExt");
setIndexReductionMethod("dynamicStateSelection");
Config: {
"library": "NeuralNetwork",
"libraryVersion": "main",
"referenceFileExtension": "csv",
"referenceFileNameDelimiter": ".",
"referenceFiles": {
"destination": "ReferenceFiles/NeuralNetwork",
"giturl": "https://github.com/AMIT-HSBI/NeuralNetwork"
}
}
Links are provided if getErrorString() or the simulation generates output. The links are coded with red if there were errors, yellow if there were warnings, and normal links if there are only notifications.
| Model | Verified | Simulate | Total buildModel | Parsing | Frontend | Backend | SimCode | Templates | Compile | Total Execution |
|---|---|---|---|---|---|---|---|---|---|---|
| NeuralNetwork.Examples.HelloWorld (sim) | 0.00 | 0.03 | 0.25 | 0.01 | 0.01 | 0.00 | 0.00 | 0.01 | 1.00 | |
| NeuralNetwork.Examples.NARX (sim) | 0.01 | 0.26 | 0.21 | 0.03 | 0.14 | 0.03 | 0.01 | 0.06 | 1.15 |