There is an implementation for a numpy array storage, that uses pickle.
This is critical so we don't keep in memory stamps of every star.
The current implementation though, requires the creation of files, which for many reasons can persist later as garbage in the local directory (see #11).
Using diskcache library could avoid such issue, and clean the base code of additional modules.
There is an implementation for a numpy array storage, that uses pickle.
This is critical so we don't keep in memory stamps of every star.
The current implementation though, requires the creation of files, which for many reasons can persist later as garbage in the local directory (see #11).
Using
diskcachelibrary could avoid such issue, and clean the base code of additional modules.