scikit-hep/awkward-array: 0.8.8

All array types have an nbytes parameter, which determines eviction from uproot's ArrayCache. Without this parameter, the cache would fill up to a billion arrays rather than a billion bytes!

The nbytes parameter only counts data in arrays, not the Python objects that support those arrays (which differs between Pythons 2 and 3, and PyPy doesn't track), and it doesn't track ephemeral attributes, even if they are arrays (like JaggedArray._counts, which only exists after the first time JaggedArray.counts is requested). It also doesn't make a distinction between owned data and not-owned data, so views would be double-counted.

The nbytes algorithm always halts, even if structures have cyclic references (if x.content is x, the nbytes of x are not double-counted and do not lead to infinite recursion).