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eg_worker_poolz
Tyler Goodlet 2021-01-17 15:41:35 -05:00
parent 9b07e9ad7c
commit 57a24cdcf8
1 changed files with 9 additions and 8 deletions
examples/parallelism

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@ -4,8 +4,8 @@ Demonstration of the prime number detector example from the
https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor-example
This uses no extra threads or fancy semaphores besides ``tractor``'s
(TCP) channels.
This uses no extra threads, fancy semaphores or futures; all we need
is ``tractor``'s channels.
"""
from contextlib import asynccontextmanager
@ -46,11 +46,12 @@ def is_prime(n):
@asynccontextmanager
async def worker_pool(workers=4):
"""Though it's a trivial special case for ``tractor``, the well
known "worker pool" seems to be the defacto "I want this process
pattern" for most parallelism pilgrims.
known "worker pool" seems to be the defacto "but, I want this
process pattern!" for most parallelism pilgrims.
Yes, the workers stay alive (and ready for work) until you close
the context.
"""
async with tractor.open_nursery() as tn:
portals = []
@ -67,7 +68,7 @@ async def worker_pool(workers=4):
)
)
async def map(
async def _map(
worker_func: Callable[[int], bool],
sequence: List[int]
) -> List[bool]:
@ -90,7 +91,8 @@ async def worker_pool(workers=4):
for _ in range(len(sequence)):
yield await recv_chan.receive()
yield map
# deliver the parallel "worker mapper" to user code
yield _map
# tear down all "workers" on pool close
await tn.cancel()
@ -110,7 +112,6 @@ async def main():
if __name__ == '__main__':
start = time.time()
trio.run(main)
print(f'script took {time.time() - start} seconds')