...

The changes try to store entities as their serialized (tostring) version of the metadata, and re-parse it on demand. The idea being that we don't need to keep track of the whole parsed tree, but just the serialized entities.

Parked

https://tech.buzzfeed.com/finding-and-fixing-memory-leaks-in-python-413ce4266e7d

Size limitations

We plan to create a controlled mock metadata set containing multitudes of edugain metadata (e.g. 5k, 10k, 20k and 100k entities) to see how pyFF would cope with that amount of entities and metadata.