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Align task taxonomy and IDs with the updated paper; main evaluation 306
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#!/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())