[Numpy-discussion] segfaulting numpy with dot and datetime
Mon Dec 10 20:46:29 CST 2012
On Mon, Dec 10, 2012 at 8:54 PM, <email@example.com> wrote:
> On Mon, Dec 10, 2012 at 8:26 PM, Charles R Harris
> <firstname.lastname@example.org> wrote:
>> On Mon, Dec 10, 2012 at 5:39 PM, <email@example.com> wrote:
>>> >>> np.__version__
>>> >>> aa
>>> array([1970-01-13 96:00:00, 1970-01-13 120:00:00, 1970-01-13 144:00:00,
>>> 1970-01-13 168:00:00, 1970-01-13 192:00:00], dtype=datetime64[ns])
>>> >>> np.dot(aa, )
>> Hmm, I can't even get that array using current master, what with illegal
>> hours and all. Datetime in 1.6.x wasn't quite up to snuff, so things might
>> have been fixed in 1.7.0. Is there any way you can check that.
> I didn't know the dates are illegal, they were created with pandas.
here's the minimal numpy version
>>> np.ones(5, 'datetime64[ns]')
array([1970-01-01 00:00:00, 1970-01-01 00:00:00, 1970-01-01 00:00:00,
1970-01-01 00:00:00, 1970-01-01 00:00:00], dtype=datetime64[ns])
>>> b = np.ones(5, 'datetime64[ns]')
>>> np.dot(b, )
virtualenv is next
> Skipper said he couldn't replicate the segfault so it might be gone
> with a more recent numpy.
> I still have to setup a virtualenv for a 1.7.0 beta so I can start to test it.
> (I rely on binaries for numpy and scipy now.)
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