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I was working on a new implementation of #75 / #102. I found what I believe are memory leaks, mostly associated with key normalization. For example,
_key_normalized_obj
was not consistent (across its different conditional branches) as to whether it created a new reference or not. More generally, if aPyObject *
key can be overwritten by a normalized or prefixed key, any owned (as opposed to borrowed) references to the original key must be cleaned up.I've added tests for these issues. The tests pass in this branch, but do not pass in master: https://gist.github.com/slingamn/3b6cec10c1f12f0dbe1b
I think it's possible that there are more leaks:
but I think this should cover the leaks that the typical user is most likely to encounter.
Thanks for your time!