The last version of numpy gives me headaches. I've been able to trace
the problem to the use of astype(). When a memmap is deleted I get the
following warning:
Exception exceptions.ValueError: 'mmap closed or invalid' in <bound
method memmap.__del__ of memmap([ 0., 1., 2., 3., 4., 5., 6., 7.,
8., 9.])> ignored
The memmap still seems to work but these error messages slow don't the
processing considerably. When reverting back to numpy 1.0.2 the problem
disappears.
Below is a short program that reproduces the warnings:
==
import numpy
a = numpy.memmap(r'C:\Temp\test.dat', mode='w+', shape=(10,), dtype='b')
for i in range(10):
a[i] = i
del a
a = numpy.memmap(r'C:\Temp\test.dat', mode='r', shape=(10,), dtype='b')
a = a.astype('d')
del a
==
The last delete produces the warnings.
Am I doing something wrong or should this be fixed in numpy?
Regards,
Wim Bakker
International Institute for Geo-Information Science and Earth Observation (ITC)
Chamber of Commerce: 410 27 560
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