{ "id": "single-software-execution--cli--openfast--task-12--ubuntu", "snapshot": "openfast5", "instruction": "`/home/user/Desktop/yaw_error.fst`, `/home/user/Desktop/NRELOffshrBsline5MW_ElastoDyn_Yaw.dat`, and `/home/user/Desktop/inflow_yaw_steady.dat` is provided. Only initialization inputs are preloaded; generate all result artifacts yourself.\n\nBefore starting the work, the OpenFAST executable is `/home/user/miniconda3/bin/openfast` when working on `yaw_error.fst`. Complete a fixed yaw-misalignment sensitivity analysis from the command line: 1. Confirm the shared InflowWind input uses `WindType=1`, `HWindSpeed=11.4 m/s`, and `RefHt=90 m`. 2. Generate `elasto_yaw_0.dat`, `elasto_yaw_5.dat`, `elasto_yaw_10.dat`, `elasto_yaw_15.dat`, and `elasto_yaw_20.dat` under `/home/user/Desktop`. In every file set `YawDOF=False` so `NacYaw` is fixed, and set `NacYaw` to the filename angle. Generate matching `case_yaw_ANGLE.fst` files under `/home/user/Desktop` that reference the shared steady wind and their own ElastoDyn file. 3. Run all five 60-second cases independently and retain their `.out` files and normal-termination logs under `/home/user/Desktop`. 4. Write `/home/user/Desktop/run_cases.py` and `/home/user/Desktop/postprocess.py`; for each output compute the arithmetic mean of `GenPwr` over `Time>=50 s`. Save `/home/user/Desktop/summary.txt` as `yaw_error_deg, genpwr_kw`. 5. Do not use GUI tools.", "source": "https://github.com/openFAST/r-test", "config": [ { "type": "upload_file", "parameters": { "files": [ { "local_path": "task-12/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/elasto_yaw_0.dat", "/home/user/Desktop/elasto_yaw_5.dat", "/home/user/Desktop/elasto_yaw_10.dat", "/home/user/Desktop/elasto_yaw_15.dat", "/home/user/Desktop/elasto_yaw_20.dat", "/home/user/Desktop/case_yaw_0.fst", "/home/user/Desktop/case_yaw_0.out", "/home/user/Desktop/case_yaw_0.log", "/home/user/Desktop/case_yaw_5.fst", "/home/user/Desktop/case_yaw_5.out", "/home/user/Desktop/case_yaw_5.log", "/home/user/Desktop/case_yaw_10.fst", "/home/user/Desktop/case_yaw_10.out", "/home/user/Desktop/case_yaw_10.log", "/home/user/Desktop/case_yaw_15.fst", "/home/user/Desktop/case_yaw_15.out", "/home/user/Desktop/case_yaw_15.log", "/home/user/Desktop/case_yaw_20.fst", "/home/user/Desktop/case_yaw_20.out", "/home/user/Desktop/case_yaw_20.log", "/home/user/Desktop/inflow_yaw_steady.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-12/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" }