Download task/single-software-execution/cli/openfast/task-10/eval.py from HongchengGao/EngiWorld-Tasks: direct link, hf CLI and curl.
- Browser
- Download file 5.21 kB
-
https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/openfast/task-10/eval.py
- Command line
-
hf download hf://datasets/HongchengGao/EngiWorld-Tasks/task/single-software-execution/cli/openfast/task-10/eval.py
-
curl -L -o eval.py https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/openfast/task-10/eval.py
5.21 kB
| #!/usr/bin/env python3 | |
| from __future__ import annotations | |
| import math | |
| import re | |
| from pathlib import Path | |
| ROOT = Path("/home/user/Desktop") | |
| RPMS = (6, 9, 12, 15) | |
| AIR_DENSITY = 1.225 | |
| ROTOR_RADIUS_M = 63.0 | |
| WIND_SPEED_MPS = 8.0 | |
| EXPECTED_CP = (0.347895, 0.447509, 0.397957, 0.296552) | |
| ABS_TOL = 2e-5 | |
| REL_TOL = 5e-4 | |
| def read(path: Path) -> str: | |
| return path.read_text(encoding="utf-8", errors="ignore") | |
| def close(actual: float, expected: float) -> bool: | |
| return math.isfinite(actual) and abs(actual - expected) <= max( | |
| ABS_TOL, REL_TOL * max(1.0, abs(expected)) | |
| ) | |
| def parameter(text: str, name: str) -> str: | |
| match = re.search(rf"^\s*(\S+).*?\s{name}\s+-", text, re.MULTILINE) | |
| if not match: | |
| raise ValueError(f"missing parameter {name}") | |
| return match.group(1).strip('"').rstrip(",") | |
| def read_channel_mean(path: Path, channel: str, window_s: float) -> tuple[float, float]: | |
| lines = read(path).splitlines() | |
| if "at commit v5.0.0" not in "\n".join(lines[:5]): | |
| raise ValueError("output was not generated by OpenFAST 5.0.0") | |
| header_index = next( | |
| index for index, line in enumerate(lines) if line.split() and line.split()[0] == "Time" | |
| ) | |
| headers = lines[header_index].split() | |
| units = lines[header_index + 1].split() | |
| channel_index = headers.index(channel) | |
| if len(units) != len(headers) or units[channel_index] != "(W)": | |
| raise ValueError(f"{channel} must be reported in watts") | |
| rows: list[tuple[float, float]] = [] | |
| for line in lines[header_index + 2 :]: | |
| values = line.split() | |
| if len(values) != len(headers): | |
| continue | |
| try: | |
| rows.append((float(values[0]), float(values[channel_index]))) | |
| except ValueError: | |
| continue | |
| if not rows or not close(rows[-1][0], 30.0): | |
| raise ValueError("incomplete 30-second output") | |
| start = rows[-1][0] - window_s | |
| selected = [value for time, value in rows if time >= start] | |
| if len(selected) < 90: | |
| raise ValueError("insufficient samples in final averaging window") | |
| return sum(selected) / len(selected), rows[-1][0] | |
| def parse_summary(path: Path) -> list[tuple[float, float, float]]: | |
| rows: list[tuple[float, float, float]] = [] | |
| for line in read(path).splitlines(): | |
| if not line.strip(): | |
| continue | |
| values = [float(value.strip()) for value in line.split(",")] | |
| if len(values) != 3: | |
| raise ValueError("summary rows must contain rpm, tsr, cp") | |
| rows.append((values[0], values[1], values[2])) | |
| if len(rows) != len(RPMS): | |
| raise ValueError("summary must contain four rows") | |
| return rows | |
| def valid_inputs(rpm: int) -> bool: | |
| fst = read(ROOT / f"case_rpm{rpm}.fst") | |
| ed = read(ROOT / f"elasto_rpm{rpm}.dat") | |
| expected = { | |
| "TMax": "30", | |
| "DT_Out": "0.1", | |
| "OutFileFmt": "1", | |
| "CompInflow": "1", | |
| "CompAero": "2", | |
| "CompServo": "0", | |
| "EDFile": f"elasto_rpm{rpm}.dat", | |
| "InflowFile": "5MW_Baseline/NRELOffshrBsline5MW_InflowWind_Steady8mps.dat", | |
| "AeroFile": "aerodyn_tsr.dat", | |
| } | |
| if any(parameter(fst, key) != value for key, value in expected.items()): | |
| return False | |
| return ( | |
| parameter(ed, "GenDOF").lower() == "false" | |
| and close(float(parameter(ed, "RotSpeed")), float(rpm)) | |
| ) | |
| def check() -> bool: | |
| required = ["run_sweep.py", "postprocess.py", "aerodyn_tsr.dat", "summary.txt"] | |
| for rpm in RPMS: | |
| required.extend( | |
| ( | |
| f"elasto_rpm{rpm}.dat", | |
| f"case_rpm{rpm}.fst", | |
| f"case_rpm{rpm}.out", | |
| f"case_rpm{rpm}.log", | |
| ) | |
| ) | |
| if any(not (ROOT / name).is_file() or (ROOT / name).stat().st_size == 0 for name in required): | |
| return False | |
| aero = read(ROOT / "aerodyn_tsr.dat") | |
| if '"RtAeroPwr"' not in aero or '"../5MW_Baseline/' in aero: | |
| return False | |
| if any(not valid_inputs(rpm) for rpm in RPMS): | |
| return False | |
| available_power_w = ( | |
| 0.5 * AIR_DENSITY * math.pi * ROTOR_RADIUS_M**2 * WIND_SPEED_MPS**3 | |
| ) | |
| calculated: list[tuple[float, float, float]] = [] | |
| for rpm in RPMS: | |
| if "OpenFAST terminated normally." not in read(ROOT / f"case_rpm{rpm}.log"): | |
| return False | |
| aero_power_w, _ = read_channel_mean(ROOT / f"case_rpm{rpm}.out", "RtAeroPwr", 10.0) | |
| tsr = (rpm * 2.0 * math.pi / 60.0) * ROTOR_RADIUS_M / WIND_SPEED_MPS | |
| calculated.append((float(rpm), tsr, aero_power_w / available_power_w)) | |
| reported = parse_summary(ROOT / "summary.txt") | |
| for index, rpm in enumerate(RPMS): | |
| expected = (float(rpm), calculated[index][1], EXPECTED_CP[index]) | |
| if any(not close(value, target) for value, target in zip(calculated[index], expected)): | |
| return False | |
| if any(not close(value, target) for value, target in zip(reported[index], expected)): | |
| return False | |
| return True | |
| def main() -> int: | |
| try: | |
| result = check() | |
| except Exception: | |
| result = False | |
| print("True" if result else "False") | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |