Maxim Khitrov wrote:
On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern <[email protected]> wrote:
I have, but numpy is not currently available for python 2.6, which is
what I need for some other features, and I'm trying to keep the
dependencies down in any case....
The only feature that I'm missing with array.array is the ability to
quickly pre-allocate large chunks of memory. To do that right now I'm
using array('d', (0,) * size). It would be nice if array accepted an
int as the second argument indicating how much memory to allocate and
initialize to 0.
In the meantime, you could write a function (to ease the shift to numpy)
and reduce your interface problem to a very small set of lines:
def zeroes_d(n):
'''Allocate a n-element vector of 'd' elements'''
vector = array.array('d') # fromstring has no performance bug
vector.fromstring(n * 8 * '\0')
return vector
Once numpy is up and running on 2.6, this should be easy to convert
to a call to zeroes.
--Scott David Daniels
[email protected]
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