[Numpy-discussion] OpenOpt Suite release 0.45

[Matthieu Brucher]

Hi,

Different objects can have the same hash, so it compares to find the actual
correct object.
Usually when you store something in a dict and later you can't find it
anymore, it is that the internal state changed and that the hash is not the
same anymore.

Matthieu


2013/3/16 Dmitrey <tmp50 at ukr.net>

>
>
> --- Исходное сообщение ---
> От кого: "Alan G Isaac" <alan.isaac at gmail.com>
> Дата: 15 марта 2013, 22:54:21
>
> On 3/15/2013 3:34 PM, Dmitrey wrote:
> > the suspected bugs are not documented yet
>
>
> I'm going to guess that the state of the F_i changes
> when you use them as keys (i.e., when you call __le__.
>
> no, their state doesn't change for operations like __le__ . AFAIK
> searching Python dict doesn't calls __le__ on the object keys at all, it
> operates with method .__hash__(), and latter returns fixed integer numbers
> assigned to the objects earlier (at least in my case).
>
>
>  It is very hard to imagine that this is a Python or NumPy bug.
>
> Cheers,
> Alan
>
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