Temporary variables in list comprehensions

[Antonio Caminero Garcia]

On Sunday, January 8, 2017 at 7:53:37 PM UTC-8, Steven D'Aprano wrote:
> Suppose you have an expensive calculation that gets used two or more times in a 
> loop. The obvious way to avoid calculating it twice in an ordinary loop is with 
> a temporary variable:
> 
> result = []
> for x in data:
>     tmp = expensive_calculation(x)
>     result.append((tmp, tmp+1))
> 
> 
> But what if you are using a list comprehension? Alas, list comps don't let you 
> have temporary variables, so you have to write this:
> 
> 
> [(expensive_calculation(x), expensive_calculation(x) + 1) for x in data]
> 
> 
> Or do you? ... no, you don't!
> 
> 
> [(tmp, tmp + 1) for x in data for tmp in [expensive_calculation(x)]]
> 
> 
> I can't decide whether that's an awesome trick or a horrible hack...
> 
> 
> -- 
> Steven
> "Ever since I learned about confirmation bias, I've been seeing 
> it everywhere." - Jon Ronson

Hello I saw some memoizing functions, in that sense you can use the functools.lru_cache decorator, that is even better if you have repeated elements in data.

@functools.lru_cache
def expensive_calculation(x):
    # very NP-hard calculation
    pass


Hope that helps :)