> On 22 Aug 2020, at 15:00, rawmin...@gmail.com wrote:
>
> I wanted to know if there could be TypeError when giving wrong type for
> arguments in functions
> (This usually happens when using other module's function)
>
> e.g:
>
> def sum(nom1: int, nom2: int):
> nom = nom1 + nom2
> return nom
> print(sum('hello',2))
>
> if you run this code you will get TypeError for line 2 because 'you can only
> concatenate str (not "int") to str'
> But what am i saying is can it raise TypeError for line 4 because I gave
> 'hello' as nom1 and nom1 should be int
>
> Now if I want to check arguments types I should use:
>
> def sum(nom1: int, nom2: int):
> if isinstance(nom1, int) and isinstance(nom1, int):
> nom = nom1 + nom2
> return nom
> else:
> raise TypeError('nom1 and nom2 should be int')
> print(sum('hello',2))
>
> But if they can add what am I am i saying it can decrease lines of this
> function by 50% and also function author should not worry about checking
> types anymore!
> (I know I could use 'assert' but I just wanted to write it as simple as
> possible)
Python does not check type annotations at runtime, although you could write a
decorator that does this for you. It is unlikely that this will anytime soon.
Ronald
—
Twitter / micro.blog: @ronaldoussoren
Blog: https://blog.ronaldoussoren.net/ <https://blog.ronaldoussoren.net/>
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