On 11/19/2018 4:14 PM, Chris Barker via Python-Dev wrote: > On Mon, Nov 19, 2018 at 1:41 AM Antoine Pitrou <solipsis at pitrou.net > <mailto:solipsis at pitrou.net>> wrote: > > I'd rather keep the reference to memory addressing than start > doing car > analogies in the reference documentation. > > > I agree -- and any of the car analogies will probably be only valid in > some jurisdictions, anyway. > > I think being a bit more explicit about what properties an ID has, and > how the id() function works, and we may not need an anlogy at all, > it's not that difficult a concept. And methions that in c_python the > id is (currently) the memory address is a good idea for those that > will wonder about it, and if there is enough explanation, folks that > don't know about memory addresses will not get confused. > > This is what's in the docs now (3.8.0a0): > > """ > Every object has an identity, a type and a value. An object’s identity > never changes once it has been created; you may think of it as the > object’s address in memory. The ‘is’ operator compares the identity of > two objects; the id() function returns an integer representing its > identity. > > **CPython implementation detail:** For CPython, id(x) is the memory > address where x is stored. > """ > > I suggest something like the following: > > """ > Every object has an identity, a type and a value. An object’s identity > uniquely identifies the object. It will remain the same as long as > that object exists. No two different objects will have the same id at > the same time, but the same id may be re-used for future objects once > one has been deleted. The ‘is’ operator compares the identity of two > objects; the id() function returns an integer representing its > identity. ``id(object_a) == id(object_b)`` if and only if they are the > same object. > > **CPython implementation detail:** For CPython, id(x) is the memory > address where x is stored. > """ > Well re-worded in my opinion. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://mail.python.org/pipermail/python-dev/attachments/20181119/116ab55b/attachment.html>
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