HongchengGao's picture
Align task taxonomy and IDs with the updated paper; main evaluation 306
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{
"id": "single-software-execution--cli--openfast--task-14--ubuntu",
"snapshot": "openfast5",
"instruction": "Treat `/home/user/Desktop/batch_base.fst`, `/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_base.dat`, and a complete version-matched dependency closure as the starting point. Only initialization inputs are preloaded; generate all scripts and result artifacts yourself.\n\nOn this machine, the OpenFAST executable is `/home/user/miniconda3/bin/openfast` when working on `batch_base.fst`. Complete an automated steady-wind batch workflow from the command line: 1. Write `/home/user/Desktop/batch_run.py` to generate `NRELOffshrBsline5MW_InflowWind_WS.dat` and `case_wsWS.fst` under `/home/user/Desktop` for wind speeds 4, 8, 11, 15, and 20 m/s. Every InflowWind file must use `WindType=1` and its own `HWindSpeed`; every case must reference its matching input. Run the five 60-second cases serially, keeping every `.out` file and normal-termination log under `/home/user/Desktop`. 2. Write `/home/user/Desktop/batch_post.py` to locate the official output channels `GenPwr`, `RotSpeed`, and `BldPitch1` by header name and compute each channel's arithmetic mean over `Time>=50 s`. 3. Save `/home/user/Desktop/summary.txt` as `ws, genpwr_kw, rotspeed_rpm, bladepitch_deg`. 4. Do not use GUI tools.",
"source": "https://github.com/openFAST/r-test",
"config": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-14/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/NRELOffshrBsline5MW_InflowWind_4.dat",
"/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_8.dat",
"/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_11.dat",
"/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_15.dat",
"/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_20.dat",
"/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/batch_run.py",
"/home/user/Desktop/batch_post.py",
"/home/user/Desktop/summary.txt"
],
"evaluator": {
"postconfig": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-14/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"
}