I'm having a little of trouble trying to use Pandana with multiprocessing
Description of the bug
When I call net.shortest_paths (with an 's') in a multiprocessing process (I use a multiprocessing.Pool object), it doesn't finish like an infinite loop (no error message).
I tested to do the same with net.shortest_path (without an 's') and it worked! However I have to use shortest_paths because it is faster in my case.
I wanted to know if there is an explanation to this.
Network data (optional)
OpenStreetMap Data
Environment
Mac OS 11.2.1
Python 3.9.7
Pandana 0.6.1
Paste the code that reproduces the issue here:
from multiprocessing import Pool
n_cores = 3
def f(n_repet):
return [net.shortest_paths([node_0_id], [node_1_id]) for i in tqdm(range(n_repet))]
p = Pool(n_cores)
a = p.map(f, [10 for i in range(10)])
Hi,
I'm having a little of trouble trying to use Pandana with multiprocessing
Description of the bug
When I call net.shortest_paths (with an 's') in a multiprocessing process (I use a multiprocessing.Pool object), it doesn't finish like an infinite loop (no error message). I tested to do the same with net.shortest_path (without an 's') and it worked! However I have to use shortest_paths because it is faster in my case. I wanted to know if there is an explanation to this.
Network data (optional)
OpenStreetMap Data
Environment
Mac OS 11.2.1 Python 3.9.7 Pandana 0.6.1
Paste the code that reproduces the issue here:
from multiprocessing import Pool
n_cores = 3
def f(n_repet): return [net.shortest_paths([node_0_id], [node_1_id]) for i in tqdm(range(n_repet))]
p = Pool(n_cores) a = p.map(f, [10 for i in range(10)])
Thanks for your help!