Proper type annotation of Python functions with yield Proper type annotation of Python functions with yield python python

Proper type annotation of Python functions with yield


I figured out the answer on my own.

I searched, but found no documentation for the 3 type parameters of Generator in the official typing documentation for Python 3.5.2 - beyond a truly cryptic mention of...

class typing.Generator(Iterator[T_co], Generic[T_co, T_contra, V_co])

Luckily, the original PEP484 (that started all this) was far more helpful:

"The return type of generator functions can be annotated by the generic type Generator[yield_type, send_type, return_type] provided by typing.py module:

def echo_round() -> Generator[int, float, str]:    res = yield    while res:        res = yield round(res)    return 'OK'

Based on this, I was able to annotate my Generators, and saw mypy confirm my assignments:

from typing import Callable, Generator# A protocol decoder:## - yields Nothing# - expects ints to be `send` in his yield waits# - and doesn't return anything.ProtocolDecodingCoroutine = Generator[None, int, None]# A frame consumer (passed as an argument to a protocol decoder):## - yields Nothing# - expects List[int] to be `send` in his waiting yields# - and doesn't return anything.FrameConsumerCoroutine = Generator[None, List[int], None]def unwrap_protocol(header: int=0x61,                    footer: int=0x62,                    dle :int=0xAB,                    after_dle_func: Callable[[int], int]=lambda x: x,                    target: FrameConsumerCoroutine=None) -> ProtocolDecodingCoroutine:    ...def frame_receiver() -> FrameConsumerCoroutine:    ...

I tested my assignments by e.g. swaping the order of the types - and then as expected, mypy complained and asked for the proper ones (as seen above).

The complete code is accessible from here.

I will leave the question open for a couple of days, in case anyone wants to chime in - especially in terms of using the new coroutine styles of Python 3.5 (async def, etc) - I would appreciate a hint on exactly how they'd be used here.


If you have a simple function using yield, then you can use the Iterator type to annotate its result rather than Generator:

from typing import Iteratordef count_up() -> Iterator[int]:    for x in range(10):        yield x


As time of writing, the Python documentation explicitly mentions what to do with the async case as well (the non-async examples were already mentioned in the accepted answer).

Citing from there:

async def echo_round() -> AsyncGenerator[int, float]:    sent = yield 0    while sent >= 0.0:        rounded = await round(sent)        sent = yield rounded

(first parameter is yield-type, second is send-type) or for simple cases (where send-type is None)

async def infinite_stream(start: int) -> AsyncIterator[int]:    while True:        yield start        start = await increment(start)