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Adds a memory quota that tracks the memory consumption of each user. The default value is 5 MB and is set in the config.toml.
Authentication must be enabled for memory quotas to work.
Deletion of a dataframe releases the memory it consumed for the user who created it. Dataframes can be deleted by either the data owner or the data scientist that created the dataframe.
A notebook called memory_quotas is added in tutorials, it describes memory_quotas and how to delete dataframes. The python server is modified to support authentication for this notebook. However, since the python server is still based off the last available release, the deserialization of the policy fails. This will be fixed by a new release of the python server.