Fast persistence of an arbitrary Python object into a files, with dedicated storage for numpy arrays.
Parameters: | value: any Python object
filename: string
compress: integer for 0 to 9, optional
cache_size: positive number, optional
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Returns: | filenames: list of strings
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See also
Notes
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.