Alex Gaynor <alex.gay...@gmail.com> added the comment:

Amaury points out: this is not strictly about immutable objects, but rather 
objects who's deepcopy is themselves (identity-wise), in some (rare I think) 
cases this could provide a slowdown.  Specifically a case of [(1, 2, 3)] * 
10000 would be slower, because it would review each tuple individually, rather 
than using the memo'd instance.  I suspect this case is not so common (to have 
the same identity object, who's deepcopy is itself such as a tuple or object 
with custom __deepcopy__, many times in a deepcopy object graph), but I have no 
proof of this.

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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue12422>
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