[Numpy-discussion] numpy FFT memory accumulation

[Ray S]

At 09:00 AM 11/1/2007, Chuck wrote:

In Python, collections.deque makes a pretty good circular buffer. 
Numpy will
make an array out of it, which involves a copy, but it might be 
better than what you are doing now.

hmmm, I'll think more about that - and the copy is only at program 
start, it seems
the fft can always be fft(d[:-N])
 >>> from collections import deque
 >>> import numpy as N
 >>> d = deque(N.zeros(10,))
 >>> d.extend(N.ones(4,))
 >>> d
deque([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 
1.0, 1.0])
 >>> [d.pop() for i in range(4)]
[1.0, 1.0, 1.0, 1.0]
 >>> d
deque([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0])

An additional complication is that I pass the numpy (or Numeric) 
array address to the ctypes library call so that the data is placed 
directly into the array from the call. I use the if/else end wrap 
logic to determine whether I need to do a split and copy if the new 
data wraps.

Thanks,
Ray