On Sat, Apr 23, 2011 at 3:38 PM, Christoph Gohlke <cgoh...@uci.edu> wrote:
> > > On 4/23/2011 10:41 AM, Charles R Harris wrote: > > > > > > On Sat, Apr 23, 2011 at 11:09 AM, Bruce Southey <bsout...@gmail.com > > <mailto:bsout...@gmail.com>> wrote: > > > > On Sat, Apr 23, 2011 at 9:58 AM, Till Stensitzki <mail.t...@gmx.de > > <mailto:mail.t...@gmx.de>> wrote: > > > > > > > Do you also have an earlier version of numpy installed? As David > > says, this > > > >should raise an error for recent numpy and > > > >I'm wondering if you are inadvertently > > > >running an earlier version.Chuck > > > > > > > > > I only have one python installation and > > > numpy.__version__ shows 1.6b. > > > I could reinstall numpy, if it would help. > > > > > > _______________________________________________ > > > NumPy-Discussion mailing list > > > NumPy-Discussion@scipy.org <mailto:NumPy-Discussion@scipy.org> > > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > > > Hi, > > I can get this with 64-bit Win 7, 32-bit Python 2.6, 2.7 (below) and > > 3.1 and numpy 1.6b (fresh install) IDLE and the command line. I can > > also confirm the 'ValueError' with Python2.6 and numpy 1.51 on the > > same system. > > > > Actually this is 'weird' when printing and crashed with the range - > > accessing unassigned memory? > > A smaller array gives an numpy error or memory error in idle. > > > > Bruce > > > > > > > >> import numpy as np > > > >> x=np.zeros((262144, 262144)) > > > >> x > > array([], shape=(262144, 262144), dtype=float64) > > > >> x[0,0] > > 2.1453735050108555e-314 > > > >> x[1:10,1:10] > > > > > >> ================================ RESTART > > ================================ > > > >> import numpy as np > > > > > >> x=np.zeros((26214, 26214)) > > > > Traceback (most recent call last): > > File "<pyshell#7>", line 1, in <module> > > x=np.zeros((26214, 26214)) > > ValueError: array is too big. > > > >> > > > >> x=np.zeros((262144, 26214)) > > > > Traceback (most recent call last): > > File "<pyshell#8>", line 1, in <module> > > x=np.zeros((262144, 26214)) > > MemoryError > > _____ > > > > > > This was fixed before, maybe it got broken again. Since this looks > > windows specific, I'm guessing it has something to do with the size of > > long being 32 bits. > > > > The previous problem was integer overflow when multiplying the > > dimensions together to get the array size when repeated divisions of the > > maximum size should have be used instead. > > > > Chuck > > Could be related to this change: > > < > https://github.com/numpy/numpy/commit/fcc6cc73ddcb1fc85446ba9256ac24ecdda6c6d8#L1L1121 > > > > My, that does look suspicious ;) Could you revert that loop and test it out? There was also a function for doing that check, I don't recall which, and it should probably be checked to make sure it remains as was. Chuck
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