Download task/single-software-execution/cli/floris/task-20/task-20.json from HongchengGao/EngiWorld-Tasks: direct link, hf CLI and curl.
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https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/floris/task-20/task-20.json
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hf download hf://datasets/HongchengGao/EngiWorld-Tasks/task/single-software-execution/cli/floris/task-20/task-20.json
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curl -L -o task-20.json https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/floris/task-20/task-20.json
2.44 kB
| { | |
| "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" | |
| } | |