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"id": "single-software-execution--cli--openfast--task-02--ubuntu",
"snapshot": "openfast5",
"instruction": "The starting input is the complete TurbSim template `/home/user/Desktop/turbsim_base.inp`, OpenFAST base case `/home/user/Desktop/case_turb_base.fst`, InflowWind base `/home/user/Desktop/inflow_turb_base.dat`, and their dependencies. The archive contains only initialization inputs and a complete version-matched dependency closure; generate all result artifacts yourself.\n\nFor this task, the OpenFAST executable is `/home/user/miniconda3/bin/openfast` when working on `turbsim_base.inp`. From the command line: 1. Copy the TurbSim template to `/home/user/Desktop/wind_8ms.inp`, retain the supplied seeds, grid, time settings, and IEC turbulence class B, and confirm `URef=8 m/s` and `RefHt=90 m`. Run `turbsim wind_8ms.inp` so TurbSim creates `/home/user/Desktop/wind_8ms.bts`. 2. Create `/home/user/Desktop/case_turb.fst` from the supplied base. Use the supplied InflowWind file with `WindType=3` and `FileName_BTS=wind_8ms.bts`, and run the OpenFAST case for 60 s. 3. Execute the matching snapshot binaries (use full paths if needed), save the TurbSim console output as `/home/user/Desktop/turbsim.log` and the OpenFAST console output as `/home/user/Desktop/openfast.log`, and require normal termination in both logs. 4. Write `/home/user/Desktop/postprocess.py` to parse the complete `/home/user/Desktop/case_turb.out` `GenPwr` series and compute its arithmetic mean and population standard deviation (`ddof=0`). Save `/home/user/Desktop/summary.txt` as `mean_pwr_kw, std_pwr_kw`. 5. Do not use GUI tools.",
"source": "https://github.com/openFAST/r-test",
"config": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-02/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/wind_8ms.inp",
"/home/user/Desktop/wind_8ms.bts",
"/home/user/Desktop/wind_8ms.sum",
"/home/user/Desktop/turbsim.log",
"/home/user/Desktop/inflow_turb_base.dat",
"/home/user/Desktop/case_turb.fst",
"/home/user/Desktop/case_turb.out",
"/home/user/Desktop/openfast.log",
"/home/user/Desktop/postprocess.py",
"/home/user/Desktop/summary.txt"
],
"evaluator": {
"postconfig": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-02/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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