Here\'s some sample code that is reads a file and adds up each line. It is supposed to add up all the numbers from 0-20. However, I always get a result of 0
.
Each subprocess calling f
updates its own copy of total
and therefore main process's total
is not affected.
You can have each subprocess return the result of its computation (in your mock example, that's just the input, unchanged), and then accumulate it in the main process. E.g.:
def f(input):
return input
results = pool.map(f, mock_file)
for res in results:
total.add(res)
You can accomplish this using shared memory with subprocess.Value
, just change your Total
class to the following:
class Total():
def __init__(self):
self.total = multiprocessing.Value('d', 0)
def add(self, number):
self.total.value += int(number)
def __str__(self):
return str(self.total.value)