{ "id": "single-software-execution--cli--floris--task-20--ubuntu", "snapshot": "FLORIS4.6.4", "instruction": "Open FLORIS 4.6.4 from the command line for this task. Before starting the work, FLORIS is provided as the Python `floris` package at `/home/user/.local/lib/python3.12/site-packages/floris`; run the workflow from Python rather than looking for a separate desktop program. Write /home/user/Desktop/wind_sector.py using nine nrel_5MW turbines with rotor diameter D = 126 m in a 3x3 grid. Use x and y coordinates [0, 882, 1764] m (7D spacing) in row-major order. Evaluate wind directions [0, 30, 60, ..., 330] deg as 12 vectorized conditions, each at 8 m/s and turbulence intensity 0.06. Save turbine powers in kW to /home/user/Desktop/power_matrix.csv as exactly 12 rows by 9 columns. Compute each sector total, then write /home/user/Desktop/summary.txt as max_sector_total_kw, min_sector_total_kw, wake_loss_max_percent. Compute P_nowake by running the same nine turbines at 8 m/s and TI 0.06 with wakes disabled, and compute wake_loss_max_percent = (P_nowake - min_sector_total_kw) / P_nowake * 100. Do not use a GUI.", "source": "https://github.com/NatLabRockies/floris", "config": [ { "type": "upload_file", "parameters": { "files": [ { "local_path": "task-20/init_file/wind_sector_base.py", "path": "/home/user/Desktop/wind_sector_base.py" } ] } } ], "trajectory": "trajectories/", "related_apps": [ "floris" ], "artifact_paths": [ "/home/user/Desktop/power_matrix.csv", "/home/user/Desktop/summary.txt", "/home/user/Desktop/wind_sector.py" ], "evaluator": { "postconfig": [ { "type": "upload_file", "parameters": { "files": [ { "local_path": "task-20/eval.py", "path": "/home/user/Desktop/eval.py" }, { "local_path": "eval_utils.py", "path": "/home/user/Desktop/eval_utils.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" }