I would like concurrent.futures.ProcessPoolExecutor.map() to call a function consisting of 2 or more arguments. In the example below, I have resorted to using a
Regarding your first question, do I understand it correctly that you want to pass an argument whose value is determined only at the time you call map but constant for all instances of the mapped function? If so, I would do the map with a function derived from a "template function" with the second argument (ref in your example) baked into it using functools.partial:
from functools import partial
refval = 5
def _findmatch(ref, listnumber): # arguments swapped
...
with cf.ProcessPoolExecutor(max_workers=workers) as executor:
for n in executor.map(partial(_findmatch, refval), numberlist):
...
Re. question 2, first part: I haven't found the exact piece of code that tries to pickle (serialize) the function that should then be executed in parallel, but it sounds natural that that has to happen -- not only the arguments but also the function has to be transferred to the workers somehow, and it likely has to be serialized for this transfer. The fact that partial functions can be pickled while lambdas cannot is mentioned elsewhere, for instance here: https://stackoverflow.com/a/19279016/6356764.
Re. question 2, second part: if you wanted to call a function with more than one argument in ProcessPoolExecutor.map, you would pass it the function as the first argument, followed by an iterable of first arguments for the function, followed by an iterable of its second arguments etc. In your case:
for n in executor.map(_findmatch, numberlist, ref):
...