Hi, Here's my last question for today (I sent them separately because they are quite unrelated).
I am thinking of writing a python decorator that for any processing function (e.g. band-pass filter of median of data[0:3,:]) logs to the attributes of the target HDF5 column * the name of the function, * the location of the repository where it lives and a string identifying the commit, * the arguments that were passed to it (or at least the parameters that tune the function; see below) The goal is to keep my data processing functions generic, yet be able (for scientific traceability) to track how a particular result was generated. I am still thinking how to report arguments that are long arrays without making all of the functions accept as an argument a HDF5 tree location string. Any thoughts / prior art? regards, Álvaro. ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
