Hey Salvatore,
Have you tried the `key` attribute for `@cached_function` and/or
`@cached_method`?
@cached_method(key=tuple)
def foo(x):
return tuple(x)*2
The only downside is that there will be some redundancy (you have to do the
cast twice, once for the key, once in the method).
I think a useful extension of this concept would be similar to
UniqueRepresentation, where we preprocess the input and cache the result...
Best,
Travis
On Wednesday, August 12, 2015 at 2:56:05 AM UTC-7, Salvatore Stella wrote:
>
> Dear All,
> I have several functions that take as input a tuple of integers. In many
> of
> these functions I check if this tuple belongs to some given list so its
> type
> is important. On the other hand I would like to allow users to pass a
> lists or
> a vector instead of a tuple.
>
> One obvious way to deal with this is to make a coercion at the beginning
> of
> each function but this would lead to code duplication. Moreover it would
> also
> prevent me from using memoization. Is there a decorator in sage that I
> could
> use instead?
>
> If I were coding in python 3.4 I would write a decorator like this:
>
> def make_hashable(func):
> @wraps(func)
> def wrapper(*args, **kwargs):
> hashable_args = []
> for x in args:
> try:
> hashable_args.append(tuple(x))
> except:
> hashable_args.append(x)
>
> hashable_kwargs = {}
> for x in kwargs:
> try:
> hashable_kwargs[x] = tuple(kwargs[x])
> except:
> hashable_kwargs[x] = kwargs[x]
>
> return func(*hashable_args, **hashable_kwargs)
> return wrapper
>
> This works almost as well in earlier version of python except that @wraps
> messes up the function signature. Is there any elegant solution to this
> problem?
> Thanks
> S.
>
>
>
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