[Numpy-discussion] Any plans for windows 64-bit installer for 1.7?

Ondřej Čertík ondrej.certik@gmail....
Mon Feb 4 18:27:15 CST 2013


On Mon, Feb 4, 2013 at 3:49 PM, Christoph Gohlke <cgohlke@uci.edu> wrote:
> On 2/4/2013 12:59 PM, David Cournapeau wrote:
>> On Mon, Feb 4, 2013 at 8:27 PM, Ondřej Čertík <ondrej.certik@gmail.com> wrote:
>>> On Sun, Feb 3, 2013 at 2:57 AM, David Cournapeau <cournape@gmail.com> wrote:
>>>> On Sun, Feb 3, 2013 at 12:28 AM,  <josef.pktd@gmail.com> wrote:
>>>>> On Sat, Feb 2, 2013 at 6:14 PM, Matthew Brett <matthew.brett@gmail.com> wrote:
>>>>>> Hi,
>>>>>>
>>>>>> I see there is no Windows 64 bit installer for the 1.7 rc1.
>>>>>
>>>>> related:
>>>>> Is there any chance to get newer mingw or mingw-w64 support "soonish"?
>>>>
>>>> The problem has no solution until we can restrict support to windows 7
>>>> and above. Otherwise, any acceptable solution would require user to be
>>>> an admin.
>>>
>>> The installer is built with this VM/scripts:
>>
>> I am not sure whether you're replying to my observation or just giving
>> a status update: with mingw-w64 (or recent mingw), the built installer

I was just giving a general status, sorry about not being clear.

>> will depend on several .dll (libgcc_s_sjil.dll) that we can't easily
>> distribute. The only place we can realistically put them is in
>> C:\Python$VERSION (or wherever python happens to be installed), and I
>> think it is a very bad idea to install dll from NumPy there. In
>> Windows 2008 and above, one can refer in .pyd where to look for dlls
>> in another directory which is private to numpy.

Yes.

>>
>> David
>
> If I understand correctly the problem is distributing dependency/runtime
> DLLs with a package and ensuring the DLLs are found by Windows when the
> pyd extensions are imported?
> For numpy-MKL and other packages I include/install the extra DLLs in the
> package directories and, if necessary, (i) append the package directory
> to os.environ['PATH'] or (ii) "pre-load" the DLLs into the process using
> Ctypes, both early in the package's main __init__.py. No admin rights
> are required.

So that seems to be the only option. Is there any other solution?

Ondrej


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