Here is an example:
import multiprocessing
def function():
for i in range(10):
print(i)
if __name__ == '__main__':
p = multiprocessing.Pool(5)
p.map(function, )
yields the error: TypeError: map() missing 1 required positional argument: 'iterable'
The function does not need any input, so I wish to not artificially force it to. Or does multiprocessing need some iterable?
The following code returns / prints nothing. Why?
import multiprocessing
def function():
for i in range(10):
print(i)
if __name__ == '__main__':
p = multiprocessing.Pool(5)
p.map(function, ())
If you have no arguments to pass in, you don't have to use map
. You can simply use multiprocessing.Pool.apply
instead:
import multiprocessing
def function():
for i in range(10):
print(i)
if __name__ == '__main__':
p = multiprocessing.Pool(5)
p.apply(function)
If you are only trying to perform a small number of tasks, it may be better to use Process
for reasons described here .
This site provides an excellent tutorial on use of Process()
which i have found helpful. Here is an example from the tutorial using your function()
:
import multiprocessing
def function():
for i in range(10):
print(i)
if __name__ == '__main__':
jobs = []
for i in range(5):
p = multiprocessing.Process(target=function)
jobs.append(p)
p.start()
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