Typed Python: Choose Sequence over List
Typed Python: Choose Sequence over List
Why I would default to choosing sequence over list when adding types to a function
A blog post on choosing more specific types rather than general ones like list and dict.
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If you don't need to reuse the collection or access its items out of order, you can also use
Iterablewhich accepts even more inputs like generators. -
The problem is that there's a severe hole in the ABCs: there is no distinction between "container whose elements are mutable" and "container whose elements and size are mutable".
(related, there's no distinction for supporting slice operations or not, e.g.
deque)-
Yeah there's definitely a lot of room for improvement here
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The important difference is that you don't need to import anything in order to quickly use
listtype. This wins in the majority of the cases, unless I'm building something that will be imported by multiple other modules and it really pays to be that explicit.-
That was definitely a nice feature (I forget exactly when list over List was added). That said I've never really been bothered about having imports. Especially when I know the import is side effect free like the typing module. But I definitely use import free list for script files without many lines of code.
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Sequencenow lives atcollections.abc. BTW,floatis not a supertype ofint(issubclass(int, float) == False). Normaly, It is acceptable to useintinstead offloat, but speaking of variance, it is more precise to usenumbers.Real:issubclass(Integral, Real) == True issubclass(int, Real) == True issubclass(float, Real) == True issubclass(complex, Real) == False-
yeah it's an interesting case that an int can be treated as a float. I should probably update my post to mention that it's not strictly a supertype but a special exception mentioned in python's typehinting pep: https://peps.python.org/pep-0484/#the-numeric-tower
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