I'm using Pathos like this:
from pathos.multiprocessing import ProcessingPool as Pool
def foo(bar):
fn1(bar)
fn2(bar)
Pool().map(foo, data)
I want fn1
and fn2
to be executed as one atomic operation such that no threads can produce function calls in a sequence like fn1, fn1, fn2, fn2
.
You need to use a lock like it is described in the documentation.
def foo(lock, bar):
lock.acquire()
try:
fn1(bar)
fn2(bar)
finally:
lock.release()
if __name__ == '__main__':
lock = Lock()
Pool().map(foo, [(l, d) for d in data])
But, why are you using multiprocessing if you don't want to call your function in parallel?