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	statistics.fmean(): speed-up code path for non-sizeable inputs. (gh-119876)
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					 1 changed files with 5 additions and 7 deletions
				
			
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					@ -505,13 +505,11 @@ def fmean(data, weights=None):
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            n = len(data)
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					            n = len(data)
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        except TypeError:
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					        except TypeError:
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            # Handle iterators that do not define __len__().
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					            # Handle iterators that do not define __len__().
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            n = 0
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					            counter = count()
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            def count(iterable):
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					            total = fsum(map(itemgetter(0), zip(data, counter)))
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                nonlocal n
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					            n = next(counter)
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                for n, x in enumerate(iterable, start=1):
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					        else:
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                    yield x
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					            total = fsum(data)
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            data = count(data)
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        total = fsum(data)
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        if not n:
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					        if not n:
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            raise StatisticsError('fmean requires at least one data point')
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					            raise StatisticsError('fmean requires at least one data point')
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        return total / n
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					        return total / n
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