Fast persistence of an arbitrary Python object into a files, with dedicated storage for numpy arrays.
value: any Python object :
filename: string :
compress: integer for 0 to 9, optional :
cache_size: positive number, optional :
filenames: list of strings :
Memmapping on load cannot be used for compressed files. Thus using compression can significantly slow down loading. In addition, compressed files take extra extra memory during dump and load.