Download task/single-software-execution/cli/floris/task-08/task-08.json from HongchengGao/EngiWorld-Tasks: direct link, hf CLI and curl.
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- Download file 2.17 kB
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https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/floris/task-08/task-08.json
- Command line
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hf download hf://datasets/HongchengGao/EngiWorld-Tasks/task/single-software-execution/cli/floris/task-08/task-08.json
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curl -L -o task-08.json https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/floris/task-08/task-08.json
2.17 kB
| { | |
| "id": "single-software-execution--cli--floris--task-08--ubuntu", | |
| "snapshot": "FLORIS4.6.4", | |
| "instruction": "The starting input is a template `/home/user/Desktop/ti_scan_base.py`. Use Python with `floris==4.6.4`. At the start of the task, 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.\n\nComplete a parameterized scan from the command line: 1. Write one complete script `/home/user/Desktop/ti_scan.py`. Build two `nrel_5MW` turbines at `layout_x=[0,630]`, `layout_y=[0,0]`; use wind direction `270 deg` and wind speed `8 m/s`; run turbulence intensities `0.03`, `0.06`, and `0.12`; and extract turbine 1 power in kW for each condition. 2. Execute the script and write `/home/user/Desktop/summary.txt` as `ti_03_t1_kw, ti_06_t1_kw, ti_12_t1_kw`. 3. Do not use a GUI.", | |
| "source": "https://github.com/NatLabRockies/floris", | |
| "config": [ | |
| { | |
| "type": "upload_file", | |
| "parameters": { | |
| "files": [ | |
| { | |
| "local_path": "task-08/init_file/ti_scan_base.py", | |
| "path": "/home/user/Desktop/ti_scan_base.py" | |
| } | |
| ] | |
| } | |
| } | |
| ], | |
| "trajectory": "trajectories/", | |
| "related_apps": [ | |
| "floris" | |
| ], | |
| "artifact_paths": [ | |
| "/home/user/Desktop/summary.txt", | |
| "/home/user/Desktop/ti_scan.py" | |
| ], | |
| "evaluator": { | |
| "postconfig": [ | |
| { | |
| "type": "upload_file", | |
| "parameters": { | |
| "files": [ | |
| { | |
| "local_path": "task-08/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" | |
| } | |