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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