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chore: import upstream snapshot with attribution
2026-07-13 13:39:52 +08:00

22 lines
609 B
Python

import math
from typing import Any, Dict
def aggregate(**kwargs) -> Dict[str, Any]:
"""Compute nanmean for each metric across all rows."""
metrics = {}
for name, values in kwargs.items():
valid = []
for v in values:
try:
fv = float(v)
if not math.isnan(fv):
valid.append(fv)
except (TypeError, ValueError):
pass
if valid:
metrics[name] = round(sum(valid) / len(valid), 2)
else:
metrics[name] = float("nan")
return metrics