2008/7/9 Robert Kern [EMAIL PROTECTED]:
Because that's just what a buffer= argument *is*. It is not a place
for presenting the starting pointer to exotically-strided memory. Use
__array_interface__s to describe the full range of representable
memory. See below.
Aha! Is this stuff documented
On Thu, Jul 10, 2008 at 9:33 AM, Anne Archibald [EMAIL PROTECTED]
wrote:
2008/7/9 Robert Kern [EMAIL PROTECTED]:
Because that's just what a buffer= argument *is*. It is not a place
for presenting the starting pointer to exotically-strided memory. Use
__array_interface__s to describe the
2008/7/10 Robert Kern [EMAIL PROTECTED]:
I was about a week ahead of you. See numpy/lib/stride_tricks.py in the trunk.
Robert, this is fantastic! I think people are going to enjoy your
talk at SciPy'08. If you want, we could also tutor this in the
advanced NumPy session.
Cheers
Stéfan
2008/7/10 Charles R Harris [EMAIL PROTECTED]:
On Thu, Jul 10, 2008 at 9:33 AM, Anne Archibald [EMAIL PROTECTED]
wrote:
2008/7/9 Robert Kern [EMAIL PROTECTED]:
Because that's just what a buffer= argument *is*. It is not a place
for presenting the starting pointer to exotically-strided
On Thu, Jul 10, 2008 at 2:25 PM, Anne Archibald [EMAIL PROTECTED]
wrote:
2008/7/10 Charles R Harris [EMAIL PROTECTED]:
On Thu, Jul 10, 2008 at 9:33 AM, Anne Archibald
[EMAIL PROTECTED]
wrote:
2008/7/9 Robert Kern [EMAIL PROTECTED]:
Because that's just what a buffer= argument
On Thu, Jul 10, 2008 at 10:33, Anne Archibald [EMAIL PROTECTED] wrote:
2008/7/9 Robert Kern [EMAIL PROTECTED]:
Because that's just what a buffer= argument *is*. It is not a place
for presenting the starting pointer to exotically-strided memory. Use
__array_interface__s to describe the full
On Wed, Jul 9, 2008 at 18:55, Anne Archibald [EMAIL PROTECTED] wrote:
Hi,
When trying to construct an ndarray, I sometimes run into the
more-or-less mystifying error expected a single-segment buffer
object:
Out[54]: (0, 16, 8)
In [55]: A=np.zeros(2); A=A[np.newaxis,...];
2008/7/9 Robert Kern [EMAIL PROTECTED]:
Yes, the buffer interface, at least the subset that ndarray()
consumes, requires that all of the data be contiguous in memory.
array_as_buffer() checks for that using PyArray_ISONE_SEGMENT(), which
looks like this:
#define PyArray_ISONESEGMENT(m)
On Wed, Jul 9, 2008 at 21:29, Anne Archibald [EMAIL PROTECTED] wrote:
2008/7/9 Robert Kern [EMAIL PROTECTED]:
Yes, the buffer interface, at least the subset that ndarray()
consumes, requires that all of the data be contiguous in memory.
array_as_buffer() checks for that using
