A Friday 05 December 2008, Andrew Collette escrigué: > > Another possibility would be to use HDF5 as a data container. It > > supports the fletcher32 filter [1] which basically computes a > > chuksum for evey data chunk written to disk and then always check > > that the data read satifies the checksum kept on-disk. So, if the > > HDF5 layer doesn't complain, you are basically safe. > > > > There are at least two usable HDF5 interfaces for Python and NumPy: > > PyTables[2] and h5py [3]. PyTables does have support for that > > right out-of-the-box. Not sure about h5py though (a quick search > > in docs doesn't reveal nothing). > > > > [1] http://rfc.sunsite.dk/rfc/rfc1071.html > > [2] http://www.pytables.org > > [3] http://h5py.alfven.org > > > > Hope it helps, > > Just to confirm that h5py does in fact have fletcher32; it's one of > the options you can specify when creating a dataset, although it > could use better documentation: > > http://h5py.alfven.org/docs/guide/hl.html#h5py.highlevel.Group.create >_dataset
My bad. I've searched for 'fletcher' instead of 'fletcher32'. I naively thought that the search tool in Sphinx allowed for partial name finding. In fact, it is a pity it does not. Cheers, -- Francesc Alted _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
