Hello
Do you think it is likely that the memap capabilities of numpy will find their way in to numpypy any time soon?
It seems to me that some people think memap is a relatively unimportant aspect of numpy. But I do not think so. Because of the way the linux IO subsystem and virtual memory systems interact, memap enables numpy to have high performance access to very large data sets -- it helps make numpy relevant to "Big Data".
The code to allow numpy to support memap doesn't seem very large. But, while I have tried reading through the code, I really can not tell whether the same is true for numpypy, or whether it is a large endeavor (for example, due to some kind of pypy memory management architectural issue).
I'm interested in any input on this.
Mike Beller