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145 lines
5.0 KiB
145 lines
5.0 KiB
# MicroPython asyncio module
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# MIT license; Copyright (c) 2019-2022 Damien P. George
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from . import core
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async def _run(waiter, aw):
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try:
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result = await aw
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status = True
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except BaseException as er:
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result = None
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status = er
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if waiter.data is None:
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# The waiter is still waiting, cancel it.
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if waiter.cancel():
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# Waiter was cancelled by us, change its CancelledError to an instance of
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# CancelledError that contains the status and result of waiting on aw.
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# If the wait_for task subsequently gets cancelled externally then this
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# instance will be reset to a CancelledError instance without arguments.
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waiter.data = core.CancelledError(status, result)
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async def wait_for(aw, timeout, sleep=core.sleep):
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aw = core._promote_to_task(aw)
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if timeout is None:
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return await aw
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# Run aw in a separate runner task that manages its exceptions.
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runner_task = core.create_task(_run(core.cur_task, aw))
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try:
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# Wait for the timeout to elapse.
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await sleep(timeout)
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except core.CancelledError as er:
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status = er.value
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if status is None:
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# This wait_for was cancelled externally, so cancel aw and re-raise.
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runner_task.cancel()
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raise er
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elif status is True:
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# aw completed successfully and cancelled the sleep, so return aw's result.
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return er.args[1]
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else:
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# aw raised an exception, propagate it out to the caller.
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raise status
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# The sleep finished before aw, so cancel aw and raise TimeoutError.
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runner_task.cancel()
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await runner_task
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raise core.TimeoutError
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def wait_for_ms(aw, timeout):
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return wait_for(aw, timeout, core.sleep_ms)
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class _Remove:
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@staticmethod
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def remove(t):
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pass
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# async
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def gather(*aws, return_exceptions=False):
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def done(t, er):
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# Sub-task "t" has finished, with exception "er".
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nonlocal state
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if gather_task.data is not _Remove:
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# The main gather task has already been scheduled, so do nothing.
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# This happens if another sub-task already raised an exception and
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# woke the main gather task (via this done function), or if the main
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# gather task was cancelled externally.
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return
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elif not return_exceptions and not isinstance(er, StopIteration):
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# A sub-task raised an exception, indicate that to the gather task.
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state = er
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else:
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state -= 1
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if state:
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# Still some sub-tasks running.
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return
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# Gather waiting is done, schedule the main gather task.
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core._task_queue.push(gather_task)
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# Prepare the sub-tasks for the gather.
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# The `state` variable counts the number of tasks to wait for, and can be negative
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# if the gather should not run at all (because a task already had an exception).
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ts = [core._promote_to_task(aw) for aw in aws]
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state = 0
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for i in range(len(ts)):
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if ts[i].state is True:
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# Task is running, register the callback to call when the task is done.
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ts[i].state = done
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state += 1
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elif not ts[i].state:
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# Task finished already.
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if not isinstance(ts[i].data, StopIteration):
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# Task finished by raising an exception.
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if not return_exceptions:
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# Do not run this gather at all.
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state = -len(ts)
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else:
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# Task being waited on, gather not currently supported for this case.
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raise RuntimeError("can't gather")
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# Set the state for execution of the gather.
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gather_task = core.cur_task
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cancel_all = False
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# Wait for a sub-task to need attention (if there are any to wait for).
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if state > 0:
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gather_task.data = _Remove
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try:
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yield
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except core.CancelledError as er:
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cancel_all = True
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state = er
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# Clean up tasks.
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for i in range(len(ts)):
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if ts[i].state is done:
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# Sub-task is still running, deregister the callback and cancel if needed.
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ts[i].state = True
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if cancel_all:
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ts[i].cancel()
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elif isinstance(ts[i].data, StopIteration):
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# Sub-task ran to completion, get its return value.
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ts[i] = ts[i].data.value
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else:
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# Sub-task had an exception.
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if return_exceptions:
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# Get the sub-task exception to return in the list of return values.
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ts[i] = ts[i].data
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elif isinstance(state, int):
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# Raise the sub-task exception, if there is not already an exception to raise.
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state = ts[i].data
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# Either this gather was cancelled, or one of the sub-tasks raised an exception with
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# return_exceptions==False, so reraise the exception here.
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if state:
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raise state
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# Return the list of return values of each sub-task.
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return ts
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