[Numpy-discussion] Python 2.6 and numpy 1.3.0/1.4.0 from an extension
Charles R Harris
Mon Feb 8 12:20:10 CST 2010
On Mon, Feb 8, 2010 at 11:16 AM, Charles R Harris <email@example.com
> On Mon, Feb 8, 2010 at 10:19 AM, Peter Notebaert <firstname.lastname@example.org> wrote:
>> I have made an extension that also uses numpy.
>> I developed with Python 2.6 and numpy 1.4.0
>> This works all fine.
>> The problem is that users that use this extension get crahes from the
>> moment they use the extension and this because of numpy. It crashes when
>> numpy is initialised.
>> This because those users have also Python 2.6, but with numpy 1.3.0!!!
>> This because they installed both via the Pythonxy setup.
>> How can this be handled that users have different versions of numpy for a
>> given version of Python. Python has no problem using numpy 1.3.0 or 1.4.0,
>> so how can I make this possible in my extension?
>> There was a similar problem in 1.3 where it called a new function in the
> API which led to segfaults when 1.3 extensions were run on older versions of
> numpy. Ironically, this was fixed in 1.4 by adding another function to check
> at runtime, but this will cause segfaults on 1.3. Next cycle, there should
> be a warning issued, i.e., 1.5 running on 1.4 should raise an error instead
> of crashing. In any case, forward compatibility isn't guaranteed between
> minor version changes as the API can change. Extensions need to be
> developed, or at least compiled, against the earliest version of numpy with
> which they will be used. Extensions compiled again older versions of numpy
> should run on newer versions.
Let me add that 1.4 introduced an unintended ABI change that will cause
problems with backward compatibility also. 1.4 is going to be removed as a
broken release on that account and a 1.4.1 or 18.104.22.168 version released to
fix that problem.
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