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from __future__ import annotations
import math
import re
from collections import deque
from pathlib import Path
ROOT = Path("/home/user/Desktop")
M = 4.0
N_EQ = 50.0
EXPECTED = (4.104952, 0.225078, 0.571267)
REL_TOL = 2.0e-3
ABS_TOL = 2.0e-5
def read(path: Path) -> str:
return path.read_text(encoding="utf-8", errors="ignore")
def close(
actual: float,
expected: float,
rel_tol: float = REL_TOL,
abs_tol: float = ABS_TOL,
) -> 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{re.escape(name)}\s+-",
text,
re.MULTILINE,
)
if not match:
raise ValueError(f"missing parameter {name}")
return match.group(1).strip('"').rstrip(",")
def reversals(series: list[float]) -> list[float]:
if not series:
raise ValueError("empty torque series")
cleaned = [series[0]]
for value in series[1:]:
if value != cleaned[-1]:
cleaned.append(value)
if len(cleaned) == 1:
return cleaned
points = [cleaned[0]]
for index in range(1, len(cleaned) - 1):
left = cleaned[index] - cleaned[index - 1]
right = cleaned[index + 1] - cleaned[index]
if left * right <= 0.0:
points.append(cleaned[index])
points.append(cleaned[-1])
return points
def rainflow_ranges(
series: list[float],
) -> list[tuple[float, float]]:
stack: deque[float] = deque()
cycles: list[tuple[float, float]] = []
for point in reversals(series):
stack.append(point)
while len(stack) >= 3:
newer = abs(stack[-1] - stack[-2])
older = abs(stack[-2] - stack[-3])
if newer < older:
break
if len(stack) == 3:
cycles.append((older, 0.5))
stack.popleft()
else:
cycles.append((older, 1.0))
last = stack.pop()
stack.pop()
stack.pop()
stack.append(last)
while len(stack) > 1:
first = stack.popleft()
cycles.append((abs(stack[0] - first), 0.5))
return cycles
def output_metrics(path: Path) -> tuple[float, 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()[:1] == ["Time"]
)
headers = lines[header_index].split()
units = lines[header_index + 1].split()
time_i = headers.index("Time")
wind_i = headers.index("Wind1VelX")
speed_i = headers.index("RotSpeed")
torque_i = headers.index("RotTorq")
if (
units[time_i] != "(s)"
or units[wind_i] != "(m/s)"
or units[speed_i] != "(rpm)"
or units[torque_i] != "(kN-m)"
):
raise ValueError("unexpected native OpenFAST units")
rows: list[list[float]] = []
for line in lines[header_index + 2 :]:
fields = line.split()
if len(fields) != len(headers):
continue
try:
rows.append([float(value) for value in fields])
except ValueError:
continue
if len(rows) != 601:
raise ValueError("incorrect output sample count")
for index, row in enumerate(rows):
if not close(
row[time_i],
index / 10.0,
rel_tol=0.0,
abs_tol=2.0e-8,
):
raise ValueError("output timestamps are not 0.1-second samples")
wind_values = [row[wind_i] for row in rows]
wind_mean = sum(wind_values) / len(wind_values)
wind_std = math.sqrt(
sum((value - wind_mean) ** 2 for value in wind_values)
/ len(wind_values)
)
if wind_std < 0.5:
raise ValueError("native output does not contain turbulent wind")
torque_mnm = [row[torque_i] / 1000.0 for row in rows[100:]]
if len(torque_mnm) != 501:
raise ValueError("incorrect 10-to-60-second sample count")
mean = sum(torque_mnm) / len(torque_mnm)
std = math.sqrt(
sum((value - mean) ** 2 for value in torque_mnm)
/ len(torque_mnm)
)
cycles = rainflow_ranges(torque_mnm)
if not cycles or not any(count == 1.0 for _, count in cycles):
raise ValueError("rainflow counting produced no closed cycles")
if not any(count == 0.5 for _, count in cycles):
raise ValueError("rainflow counting produced no residual cycles")
damage_sum = sum(
count * load_range**M
for load_range, count in cycles
)
damage_equivalent = (damage_sum / N_EQ) ** (1.0 / M)
return mean, std, damage_equivalent
def parse_summary(path: Path) -> tuple[float, float, float]:
rows = [line.strip() for line in read(path).splitlines() if line.strip()]
if len(rows) != 1:
raise ValueError("summary must contain exactly one row")
values = tuple(float(field.strip()) for field in rows[0].split(","))
if len(values) != 3 or not all(math.isfinite(value) for value in values):
raise ValueError("summary must contain three finite values")
return values
def check() -> bool:
required = (
"build_case.py",
"postprocess.py",
"elasto_drivetrain.dat",
"aero_drivetrain.dat",
"servo_drivetrain.dat",
"drivetrain_case.fst",
"drivetrain_case.out",
"drivetrain_case.log",
"summary.txt",
"5MW_Baseline/NRELOffshrBsline5MW_InflowWind_12mps.dat",
"5MW_Baseline/Wind/90m_12mps_twr.bts",
"5MW_Baseline/ServoData/DISCON.dll",
)
if any(
not (ROOT / name).is_file() or (ROOT / name).stat().st_size == 0
for name in required
):
return False
inflow = read(
ROOT / "5MW_Baseline/NRELOffshrBsline5MW_InflowWind_12mps.dat"
)
if (
parameter(inflow, "WindType") != "3"
or parameter(inflow, "FileName_BTS")
!= "Wind/90m_12mps_twr.bts"
):
return False
elasto = read(ROOT / "elasto_drivetrain.dat")
if (
parameter(elasto, "DrTrDOF") != "True"
or parameter(elasto, "GenDOF") != "True"
or '"RotTorq"' not in elasto
or '"RotSpeed"' not in elasto
or '"../5MW_Baseline/' in elasto
):
return False
aero = read(ROOT / "aero_drivetrain.dat")
servo = read(ROOT / "servo_drivetrain.dat")
if '"../5MW_Baseline/' in aero or '"../5MW_Baseline/' in servo:
return False
if (
parameter(servo, "DLL_FileName")
!= "5MW_Baseline/ServoData/DISCON.dll"
):
return False
main = read(ROOT / "drivetrain_case.fst")
expected_main = {
"TMax": "60.0",
"DT_Out": "0.1",
"OutFileFmt": "1",
"EDFile": "elasto_drivetrain.dat",
"InflowFile": (
"5MW_Baseline/"
"NRELOffshrBsline5MW_InflowWind_12mps.dat"
),
"AeroFile": "aero_drivetrain.dat",
"ServoFile": "servo_drivetrain.dat",
}
if any(
parameter(main, name) != value
for name, value in expected_main.items()
):
return False
log = read(ROOT / "drivetrain_case.log")
if (
"OpenFAST-v5.0.0" not in log
or "OpenFAST terminated normally." not in log
or "Simulated Time: 60 seconds" not in log
or "FATAL ERROR" in log
):
return False
calculated = output_metrics(ROOT / "drivetrain_case.out")
reported = parse_summary(ROOT / "summary.txt")
return (
all(
close(actual, expected)
for actual, expected in zip(calculated, EXPECTED)
)
and all(
close(actual, expected)
for actual, expected in zip(reported, EXPECTED)
)
and all(
close(
actual,
calculated_value,
rel_tol=0.0,
abs_tol=2.0e-6,
)
for actual, calculated_value in zip(reported, calculated)
)
)
def main() -> int:
try:
result = check()
except Exception:
result = False
print("True" if result else "False")
return 0
if __name__ == "__main__":
raise SystemExit(main())
|