Alexander Belopolsky <alexander.belopolsky <at> gmail.com> writes:
> 
> I did not follow numpy development for the last year or more, so I
> won't qualify as "the numpy folks," but my understanding is that numpy
> does exactly what Nick recommended: the viewed object owns shape and
> strides just as it owns the data.  The viewing object increases the
> reference count of the viewed object and thus assures that data, shape
> and strides don't go away prematurely.

That doesn't work if e.g. you take a slice of a memoryview object, since the
shape changes in the process.
See http://bugs.python.org/issue4580



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