Proper type annotation of Python functions with yield
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)
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 Iterator
def count_up() -> Iterator[int]:
for x in range(10):
yield x