def MyParallelPool(nodes=None):
if nodes is None or nodes > 1:
p = ParallelPool(nodes)
try:
yield p
finally:
p.close()
p.join()
p.clear()
else:
#print("Using PseudoPool!")
yield PseudoPool()
# Copyright (c) 2016-2022 The Uncertainty Quantification Foundation.
# License: 3-clause BSD. The full license text is available at:
# - https://github.com/uqfoundation/pathos/blob/master/LICENSE
from pathos.parallel import stats
from pathos.parallel import ParallelPool as Pool
pool = Pool()
def host(id):
import socket
return "Rank: %d -- %s" % (id, socket.gethostname())
print("Evaluate 10 items on 1 cpu")
pool.ncpus = 1
res3 = pool.map(host, range(10))
print(pool)
print('\n'.join(res3))
print(stats())
print("Evaluate 10 items on 2 cpus")
pool.ncpus = 2
res5 = pool.map(host, range(10))
print(pool)
print('\n'.join(res5))
print(stats())
pool.clear()
# end of file
