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⚡️ Speed up function _mean by 413% #277

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⚡️ Speed up function _mean by 413% #277

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16 changes: 15 additions & 1 deletion unstructured/metrics/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -182,7 +182,21 @@ def _mean(scores: Union[pd.Series, List[float]], rounding: Optional[int] = 3) ->
"""
if len(scores) == 0:
return None
mean = statistics.mean(scores)
if isinstance(scores, pd.Series):
mean = scores.mean(skipna=False)
# Convert numpy scalar to Python native type
if hasattr(mean, "item"):
mean = mean.item()
else:
total = sum(scores)
mean = total / len(scores)
# Preserve int type if all inputs are ints and result is whole number
if (
all(isinstance(x, int) for x in scores)
and isinstance(total, int)
and total % len(scores) == 0
):
mean = int(mean)
if not rounding:
return mean
return round(mean, rounding)
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