> " " == Francesc Altet <[EMAIL PROTECTED]> writes:
[snip]
> Mmm, right now, I think that PyTables can reclaim the space
> freed in a file only if it is reclaimed in the same opening
> session (this is ultimately an HDF5 limitation). So, perhaps
> you can get a better beha
> " " == Francesc Altet <[EMAIL PROTECTED]> writes:
[snip]
> Mmm, right now, I think that PyTables can reclaim the space
> freed in a file only if it is reclaimed in the same opening
> session (this is ultimately an HDF5 limitation). So, perhaps
> you can get a better beha
> " " == elias collas <[EMAIL PROTECTED]> writes:
[snip]
> It may be that I don't understand exactly what H5Fmount is
> doing. If the mount has to be done dynamically, ie, at runtime,
> then there may be no advantage if the common filename has to be
> stored as an attribut
>
> What you are suggesting, I think, is something like:
> mountpoint = file1.mountFile('/common', file1.root._v_attrs.commom)
>
> for having access to the shared file in file1.root.common.
>
> Mmm, now that I think more about this, I'm not so sure that the later
> approach would be much better tha
A Divendres 10 Març 2006 04:43, Andrew Straw va escriure:
> >>Well, I've implemented an exit function using the atexit.register()
> >>function to properly close the file, at least where possible. I suspect
> >>this would have saved me from my rather careless action, but I don't
> >>plan on dependin
Hi Elias,
A Dijous 16 Març 2006 23:42, [EMAIL PROTECTED] va escriure:
> I am working with large finite element models and results data from
> hundreds of loading condition. The amount of data is taxing our resources
> and what I'm doing probably wouldn't be possible without HDF5, nor easy
> withou
Hi Mike,
A Dijous 16 Març 2006 18:43, vàreu escriure:
> >> In looking for additional ways to make my files more efficient,
> >> I came across the H5Fmount capability while perusing the HDF5
> >> documentation. I couldn't find this in the PyTables docs so can
> >> you tell me if PyT