I think the most popular library for this is typeguard: https://github.com/agronholm/typeguard
I've also seen a couple of other similar libraries: https://github.com/FelixTheC/strongtyping/issues/33 https://github.com/seandstewart/typical/issues/24 On Sat, Aug 22, 2020 at 3:01 PM <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-ideas mailing list -- python-ideas@python.org > To unsubscribe send an email to python-ideas-le...@python.org > https://mail.python.org/mailman3/lists/python-ideas.python.org/ > Message archived at > https://mail.python.org/archives/list/python-ideas@python.org/message/UNLCMURHKQFNWAZH77X3QFILX4A6J2DI/ > Code of Conduct: http://python.org/psf/codeofconduct/ >
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