Antoine Pitrou added the comment:
> Memoization consumes memory during pickling. For now every memoized
> object requires memory for:
>
> dict's entity;
> an id() integer object;
> a 2-element tuple;
> a pickle's index (an integer object).
>
> It's about 80 bytes on 32-bit platform (and twice as this on 64-bit).
As far as I understand, Alexandre doesn't propose to suppress
memoization, only to make it implicit. Therefore the memory overhead
would be the same (but the pickle would have less opcodes).
> For data which contains a lot of floats it can be cumbersome.
Apparently, floats don't get memoized:
>>> pickletools.dis(pickle.dumps([1.0, 2.0]))
0: \x80 PROTO 3
2: ] EMPTY_LIST
3: q BINPUT 0
5: ( MARK
6: G BINFLOAT 1.0
15: G BINFLOAT 2.0
24: e APPENDS (MARK at 5)
25: . STOP
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