File size: 3,443 Bytes
5154c4e 3de3b50 5154c4e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | {
"id": "single-software-execution--cli--openfast--task-01--ubuntu",
"snapshot": "openfast5",
"instruction": "Begin with `/home/user/Desktop/power_curve.fst`, `/home/user/Desktop/inflow_steady_base.dat`, and their version-matched dependencies. Only initialization inputs are preloaded; generate all scripts and result artifacts yourself.\n\nThe OpenFAST executable is `/home/user/miniconda3/bin/openfast` when working on `power_curve.fst`. Complete the following from the command line: 1. Write `/home/user/Desktop/run_cases.py` to generate `inflow_ws4.dat`, `inflow_ws8.dat`, `inflow_ws11.dat`, `inflow_ws15.dat`, and `inflow_ws20.dat`. Every input must use `WindType=1`, `RefHt=90 m`, and `HWindSpeed` equal to its filename speed. Generate the matching `case_wsX.fst` files under `/home/user/Desktop`, with each case referencing its own inflow. 2. Run all five 60-second cases and retain each text `.out` and normal-termination log under `/home/user/Desktop`. 3. Write `postprocess.py` to locate `Time`, `GenPwr`, and `RotSpeed` by header name and compute arithmetic means over `Time>=50 s`. 4. Save `/home/user/Desktop/summary.txt` as `ws, genpwr_kw, rotspeed_rpm`. 5. Do not use GUI or visualization tools.",
"source": "https://github.com/openFAST/r-test",
"config": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-01/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/case_ws4.fst",
"/home/user/Desktop/case_ws4.out",
"/home/user/Desktop/case_ws4.log",
"/home/user/Desktop/case_ws8.fst",
"/home/user/Desktop/case_ws8.out",
"/home/user/Desktop/case_ws8.log",
"/home/user/Desktop/case_ws11.fst",
"/home/user/Desktop/case_ws11.out",
"/home/user/Desktop/case_ws11.log",
"/home/user/Desktop/case_ws15.fst",
"/home/user/Desktop/case_ws15.out",
"/home/user/Desktop/case_ws15.log",
"/home/user/Desktop/case_ws20.fst",
"/home/user/Desktop/case_ws20.out",
"/home/user/Desktop/case_ws20.log",
"/home/user/Desktop/inflow_ws4.dat",
"/home/user/Desktop/inflow_ws8.dat",
"/home/user/Desktop/inflow_ws11.dat",
"/home/user/Desktop/inflow_ws15.dat",
"/home/user/Desktop/inflow_ws20.dat",
"/home/user/Desktop/run_cases.py",
"/home/user/Desktop/postprocess.py",
"/home/user/Desktop/summary.txt"
],
"evaluator": {
"postconfig": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-01/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"
}
|