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"id": "single-software-execution--cli--openfast--task-20--ubuntu",
"snapshot": "openfast5",
"instruction": "Start from `/home/user/Desktop/fatigue_base.fst`, `/home/user/Desktop/turbsim_fatigue_base.inp`, `/home/user/Desktop/inflow_fatigue.dat`, and their version-matched dependencies. Only initialization inputs are preloaded; generate all wind, simulation, cycle, and summary artifacts yourself.\n\nBefore starting the work, the OpenFAST executable is `/home/user/miniconda3/bin/openfast` when working on `fatigue_base.fst`. Complete a fatigue DEL workflow from the command line: 1. Copy the TurbSim template to `/home/user/Desktop/fatigue_wind.inp`, retaining the supplied official seeds (`13428`, `RanLux`), 31x31 grid, `dt=0.05 s`, IEC class B, `AnalysisTime=630 s`, and `UsableTime=ALL`; confirm `HubHt=RefHt=90 m` and `URef=11.4 m/s`. Run TurbSim to generate `/home/user/Desktop/fatigue_wind.bts`, saving its console output as `/home/user/Desktop/turbsim.log`. 2. Create `/home/user/Desktop/fatigue.fst` from the supplied base, run it for 600 s with InflowWind `WindType=3` pointing to that BTS, retain `/home/user/Desktop/fatigue.out`, and save the normal-termination console output as `/home/user/Desktop/openfast.log`. 3. Write `/home/user/Desktop/fatigue_post.py`. Discard samples with `Time<60 s`. For `RootMyb1` and `TwrBsMyt`, remove consecutive duplicates, retain endpoints and local reversals, and apply ASTM E1049 four-point rainflow counting: count closed cycles as 1.0 and every residual range as a 0.5 half cycle. Use full peak-to-valley ranges `S_i`, not amplitudes. Save every range, mean, count, and endpoints to `/home/user/Desktop/cycles.csv`. 4. Compute `DEL=(sum(n_i*S_i^m)/1e6)^(1/m)` with `m=10` for `RootMyb1` and `m=4` for `TwrBsMyt`. Both source channels are kN-m; divide only the final tower DEL by 1000 to report MN-m. 5. Save `/home/user/Desktop/summary.txt` as `rootmyb1_del_knm, twrbsmyt_del_mnm`. 6. Do not use GUI tools.",
"source": "https://github.com/openFAST/r-test",
"config": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-20/init_file/init_file.tar",
"path": "/home/user/Desktop/init_file.tar"
}
]
}
},
{
"type": "launch",
"parameters": {
"command": "bash -c \"mkdir -p '/home/user/Desktop/' && tar -xf '/home/user/Desktop/init_file.tar' -C '/home/user/Desktop/' && rm -f '/home/user/Desktop/init_file.tar'\"",
"shell": true
}
}
],
"trajectory": "trajectories/",
"related_apps": [
"openfast"
],
"artifact_paths": [
"/home/user/Desktop/fatigue_wind.inp",
"/home/user/Desktop/fatigue_wind.bts",
"/home/user/Desktop/fatigue_wind.sum",
"/home/user/Desktop/turbsim.log",
"/home/user/Desktop/inflow_fatigue.dat",
"/home/user/Desktop/fatigue.fst",
"/home/user/Desktop/fatigue.out",
"/home/user/Desktop/openfast.log",
"/home/user/Desktop/fatigue_post.py",
"/home/user/Desktop/cycles.csv",
"/home/user/Desktop/summary.txt"
],
"evaluator": {
"postconfig": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-20/eval.py",
"path": "/home/user/Desktop/eval.py"
}
]
}
}
],
"func": "exact_match",
"result": {
"type": "vm_command_line",
"command": "python3 /home/user/Desktop/eval.py",
"shell": "true"
},
"expected": {
"type": "rule",
"rules": {
"expected": "True\n"
}
}
},
"proxy": false,
"fixed_ip": false,
"possibility_of_env_change": "low"
}
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