The log from a minimal case is as follows:
ressler > python2.5
Python 2.5b2 (r25b2:50512, Jul 18 2006, 12:58:29)
[GCC 4.1.1 20060525 (Red Hat 4.1.1-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> data= "">size = 2656450560
bytes = 5312901120
len(mm) = 5312901120
(2011, 1280, 1032) h 0 0
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.5/site-packages/numpy/core/memmap.py", line 75, in __new__
offset=offset, order=order)
TypeError: buffer is too small for requested array
>>>
If I have a small number of frames (z=800 rather than 2011), this all works fine. I've added a few lines to memmap.py to print some diagnostic information - the error occurs on line 71 in the original memmap.py file, not 75. The "size =" and "bytes =" lines show that memmap.py is calculating the correct size for the buffer, and the len(mm) shows that the python mmap.mmap call on line 67 is returning a buffer of the correct size. The "(2011, 1280, 1032) h 0 0" bit is from a print statement that was left in the source file by the authors, and indicates what the following "self = ndarray.__new__" call is trying to do. However, it is the ndarray.__new__ call that is breaking down, and I don't really have enough skill to continue chasing it down. I took a quick look at the C source, but I couldn't figure out where the ndarray.__new__ is actually defined.
Any suggestions to help me past this? Thanks.
Mike
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