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"Awaitable" is insufficiently expressive, as one may await something other than Futures

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評估

難度
5/5
預估耗時
一週以上
新手友好度
25/100
Issue 類型
功能
描述清晰度
需要釐清
活躍度
停滯
技術堆疊
python
領域
tooling

研究方向

先閱讀 issue 中描述的 Awaitable 定義和 await 協定,然後比較 Future、Deferred、curio traps 和 Trio traps 的表示方式。只有在形成一個關於如何表達不相容的 scheduling 協定、同時保留相容的 awaitables 的共識模型後,工作才算完成;未指定檔案或測試。

由索引模型根據 Issue 內容生成。

描述

topic: feature

In the wild, today, if you await something, there are several potentially valid things to bubble back out from the innermost await

  • an asyncio.Future
  • a curio "trap" (which I gather is defined as something like Tuple[curio.traps.Traps, Any, ...])
  • a Trio trap, (which I gather is defined as something like Iterable[WaitTaskRescheduled] although I haven't quite found the bottom of that stack)
  • a Deferred

Not all of these are mutually compatible. However, Awaitable is parameterized only on one type - the type of its result. This results in code like this:

def some_deferred() -> Awaitable[int]: ...
def some_future() -> Awaitable[int]: ...

async def x() -> Awaitable[List[int]]:
    y = []
    y.append(await some_deferred())
    y.append(await some_future())
    return y

type-checking even though it should fail.

I'd like to be able to express this as

def some_deferred() -> Awaitable[int, Deferred]: ...
def some_future() -> Awaitable[int]: ... # presumably Future is the default

async def x() -> Awaitable[List[int]]:
    y = []
    y.append(await some_deferred()) # <-- automatically specialize to `Awaitable[List[int], Deferred]` here, if possible?
    y.append(await some_future()) # <-- type error!
    return y

This is made slightly more complex by the fact that some awaitables are mutually intelligible - for example, anything that awaits a Deferred should eventually be able to await a Future directly, once we've made a few more changes to Twisted. We could also do this in the other direction if __await__ were changed to pass the loop along. Whereas, some of these types are incompatible by design; my understanding is that await implies a completely different, and somewhat higher-level, scheduling protocol in Trio, for example.

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