Re: [Numpy-discussion] float128 / longdouble on PPC - is it broken?

2011-10-26 Thread Pauli Virtanen
26.10.2011 10:07, Nathaniel Smith kirjoitti: > On Tue, Oct 25, 2011 at 4:49 PM, Matthew Brett > wrote: >> I guess from your answer that such a warning would be complicated to >> implement, and if that's the case, I can imagine it would be low >> priority. > > I assume the problem is more that it

Re: [Numpy-discussion] NA masks in the next numpy release?

2011-10-26 Thread Matthew Brett
Hi, On Tue, Oct 25, 2011 at 7:56 PM, Travis Oliphant wrote: > So, I am very interested in making sure I remember the details of the > counterproposal.    What I recall is that you wanted to be able to > differentiate between a "bit-pattern" mask and a boolean-array mask in the > API.   I belie

Re: [Numpy-discussion] float128 / longdouble on PPC - is it broken?

2011-10-26 Thread Matthew Brett
Hi, On Wed, Oct 26, 2011 at 1:07 AM, Nathaniel Smith wrote: > On Tue, Oct 25, 2011 at 4:49 PM, Matthew Brett > wrote: >> I guess from your answer that such a warning would be complicated to >> implement, and if that's the case, I can imagine it would be low >> priority. > > I assume the problem

Re: [Numpy-discussion] np.in1d() capacity limit?

2011-10-26 Thread Pauli Virtanen
26.10.2011 09:09, Grové kirjoitti: > I have picked up a strange limit to np.in1d(): > -- > > b > Out[100]: > array(['2007-01-01T02:30:00+0200', '2007-01-01T03:00:00+0200', >'2007-01-01T03:30:00+0200', ..., '2008-01-01T01:00:00+0200', >'2008-01-01T01:30:00+0200', '2008-01-0

Re: [Numpy-discussion] float128 / longdouble on PPC - is it broken?

2011-10-26 Thread Nathaniel Smith
On Tue, Oct 25, 2011 at 4:49 PM, Matthew Brett wrote: > I guess from your answer that such a warning would be complicated to > implement, and if that's the case, I can imagine it would be low > priority. I assume the problem is more that it would be a weirdo check that becomes a maintenance burde

Re: [Numpy-discussion] float128 / longdouble on PPC - is it broken?

2011-10-26 Thread David Cournapeau
On Wed, Oct 26, 2011 at 12:49 AM, Matthew Brett wrote: > That reminds me of the old joke about the Irishman giving directions - > "If I were you, I wouldn't start from here". Sounds about accurate `1 > >> I would rather spend some time on implementing/integrating portable >> quad precision in s

[Numpy-discussion] np.in1d() capacity limit?

2011-10-26 Thread Grové
I have picked up a strange limit to np.in1d(): -- b Out[100]: array(['2007-01-01T02:30:00+0200', '2007-01-01T03:00:00+0200', '2007-01-01T03:30:00+0200', ..., '2008-01-01T01:00:00+0200', '2008-01-01T01:30:00+0200', '2008-01-01T02:00:00+0200'], dtype='datetime64[s]') b.shape