Currently the return type of Reversible.__reversed__ is typed as Iterator[T], which suggests that the returned instance must have both an __next__ and an __iter__ method.
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class Reversible(Iterable[_T_co], Protocol[_T_co]): |
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@abstractmethod |
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def __reversed__(self) -> Iterator[_T_co]: ... |
However, the following code seems to work fine at runtime:
from dataclasses import dataclass
from typing import Iterator, Iterable
@dataclass
class MyIter:
_values: list[int]
def __iter__(self) -> Iterator[int]:
return iter(self._values)
def __reversed__(self) -> Iterator[int]:
return MyIter(self._values[::-1])
my_iter = MyIter([1, 2, 3])
for x in my_iter:
print(x)
for x in reversed(my_iter):
print(x)
Note that __reversed__ here returns a MyIter instance, which has an __iter__ method, but no __next__, i.e., it is an Iterable but not an Iterator. The Python interpreter seems to deal with that fine at runtime, i.e., it doesn't actually seem to need the __next__ method. This is slightly surprising, because the docs specify:
It should return a new iterator object that iterates over all the objects in the container in reverse order.
I.e., it doesn't use the word "iterable object".
Unfortunately, the current signature of __reversed__ means that this example does not type check: Obviously the type checker has to complain about the return MyIter(...) line, because MyIter is indeed only an Iterable (example on mypy playground):
main.py:13: error: Incompatible return value type (got "MyIter", expected "Iterator[int]") [return-value]
main.py:13: note: "MyIter" is missing following "Iterator" protocol member:
main.py:13: note: __next__
Found 1 error in 1 file (checked 1 source file)
Now I'm wondering if the signature should actually be def __reversed__(self) -> Iterable[int] to lessen the requirement and match the runtime behavior?
Note that simply changing the return type to Iterable on user side means that the return statement now type checks, but then all usages (reversed(my_iter)) stop to type check because the type checker will no longer consider MyIter as a valid Reversible (modified example on mypy playground):
main.py:18: error: No overload variant of "reversed" matches argument type "MyIter" [call-overload]
main.py:18: note: Possible overload variants:
main.py:18: note: def [_T] __new__(cls, Reversible[_T], /) -> reversed[_T]
main.py:18: note: def [_T] __new__(cls, SupportsLenAndGetItem[_T], /) -> reversed[_T]
Found 1 error in 1 file (checked 1 source file)
Currently the return type of
Reversible.__reversed__is typed asIterator[T], which suggests that the returned instance must have both an__next__and an__iter__method.typeshed/stdlib/typing.pyi
Lines 446 to 448 in 0e9c9e1
However, the following code seems to work fine at runtime:
Note that
__reversed__here returns aMyIterinstance, which has an__iter__method, but no__next__, i.e., it is anIterablebut not anIterator. The Python interpreter seems to deal with that fine at runtime, i.e., it doesn't actually seem to need the__next__method. This is slightly surprising, because the docs specify:I.e., it doesn't use the word "iterable object".
Unfortunately, the current signature of
__reversed__means that this example does not type check: Obviously the type checker has to complain about thereturn MyIter(...)line, becauseMyIteris indeed only anIterable(example on mypy playground):Now I'm wondering if the signature should actually be
def __reversed__(self) -> Iterable[int]to lessen the requirement and match the runtime behavior?Note that simply changing the return type to
Iterableon user side means that the return statement now type checks, but then all usages (reversed(my_iter)) stop to type check because the type checker will no longer considerMyIteras a validReversible(modified example on mypy playground):