From: Todd M. <jm...@st...> - 2004-06-22 13:04:55
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Hi Faheem, This is a bug. It'll be fixed in numarray-1.0 which should hopefully be released this week. Regards, Todd On Mon, 2004-06-21 at 20:17, Faheem Mitha wrote: > Dear People, > > Is the function numarray.concatenate supposed to work for character > arrays? It doesn't for me. Do I need to write my own? Thanks in > advance. Please cc me, I'm not subscribed. > > Faheem. > > In [17]: foo > Out[17]: > CharArray([['T', 'T'], > ['C', 'A']]) > > In [18]: bar > Out[18]: > CharArray([['G', 'G'], > ['G', 'G']]) > > In [23]: numarray.concatenate((foo,bar)) > --------------------------------------------------------------------------- > error Traceback (most recent call > last) > > /home/faheem/wc/corrmodel/trunk/<console> > > /usr/lib/python2.3/site-packages/numarray/generic.py in > concatenate(arrs, axis) > 1018 arrs = map(_nc.asarray, arrs) > 1019 if axis == 0: > -> 1020 return _concat(arrs) > 1021 else: > 1022 return swapaxes(_concat([swapaxes(m,axis,0) for m in > arrs]), axis, 0) > > /usr/lib/python2.3/site-packages/numarray/generic.py in _concat(arrs) > 1000 convType = ufunc._maxPopType(arrs) > 1001 except TypeError: > -> 1002 dest = arrs[0]._clone(shape=destShape) > 1003 else: > 1004 dest = arrs[0].__class__(shape=destShape, > type=convType) > > /usr/lib/python2.3/site-packages/numarray/generic.py in _clone(self, > shape) > 783 def _clone(self, shape): > 784 c = self.copy() > --> 785 c.resize(shape) > 786 return c > 787 > > /usr/lib/python2.3/site-packages/numarray/generic.py in resize(self, > shape, *args) > 854 self[offset:offset+olen] = self[0:olen] > 855 offset += olen > --> 856 self[offset:nlen] = self[0:nlen-offset] > 857 else: # zero fill resized zero-length numarray > 858 self[:] = 0 > > /usr/lib/python2.3/site-packages/numarray/strings.py in > _copyFrom(self, arr) > 217 me = self._byteView() > 218 if self._itemsize <= arr._itemsize: > --> 219 me[:] = it[..., :self._itemsize] > 220 else: > 221 me[...,:it._shape[-1]] = it > > error: copy1bytes: access beyond buffer. offset=8 buffersize=8 > > > > > > ------------------------------------------------------- > This SF.Net email sponsored by Black Hat Briefings & Training. > Attend Black Hat Briefings & Training, Las Vegas July 24-29 - > digital self defense, top technical experts, no vendor pitches, > unmatched networking opportunities. Visit www.blackhat.com > _______________________________________________ > Numpy-discussion mailing list > Num...@li... > https://lists.sourceforge.net/lists/listinfo/numpy-discussion -- Todd Miller <jm...@st...> |