Paul Sokolovsky added the comment:
> >>> array.array('i', [0]) * 3
@Serhiy Storchaka:
The keyword is "efficiently". Let's analyze: this creates useless
array.array('i', [0]) object destined only for garbage collection. Then, it
forces using loop of loops to fill in a new object. Whereas array.array('i', 3)
immediately reduces to a memset().
You can say that these implementation efficiency issues are of little concert
to CPython. But what's being reported here is that, while generally Python is
pretty good in allowing to efficiently process raw binary data (memoryview and
all other bits and pieces), there are inconsistent accidental gaps in API here
and there which jeopardize efficiency, in obvious way (and also obvious to
resolve), what may be of concern for other Python implementations (my case).
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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue21180>
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