On Wed, Mar 16, 2011 at 10:27, Charles R Harris <charlesr.har...@gmail.com> wrote: > > On Wed, Mar 16, 2011 at 8:56 AM, Charles R Harris > <charlesr.har...@gmail.com> wrote: >> >> >> On Wed, Mar 16, 2011 at 8:46 AM, Robert Kern <robert.k...@gmail.com> >> wrote: >>> >>> On Wed, Mar 16, 2011 at 01:18, Matthew Brett <matthew.br...@gmail.com> >>> wrote: >>> > Hi, >>> > >>> > Running the test suite for one of our libraries, there seems to have >>> > been a recent breakage of the behavior of dtype hashing. >>> > >>> > This script: >>> > >>> > import numpy as np >>> > >>> > data0 = np.arange(10) >>> > data1 = data0 - 10 >>> > >>> > dt0 = data0.dtype >>> > dt1 = data1.dtype >>> > >>> > assert dt0 == dt1 # always passes >>> > assert hash(dt0) == hash(dt1) # fails on latest >>> > >>> > fails on the current latest-ish - aada93306 and passes on a stock >>> > 1.5.0. >>> > >>> > Is this expected? >>> >>> According to "git log hashdescr.c", nothing has changed in the >>> implementation of the hash function since Oct 31, before numpy 1.5.1 >>> which also passes the second test. I'm not sure what would be causing >>> the difference in HEAD. >>> >> >> The 1.5.1 branch was based on 1.5.x, not master. >> > > David's change isn't in 1.5.x, so apparently it wasn't backported.
Hmm. It works just before and just after that change, so the problem is somewhere else. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
