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#!/usr/bin/env python
#
# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
# Copyright (c) 1997-2016 California Institute of Technology.
# Copyright (c) 2016-2025 The Uncertainty Quantification Foundation.
# License: 3-clause BSD. The full license text is available at:
# - https://github.com/uqfoundation/pyina/blob/master/LICENSE
from pyina.launchers import Pool as MpiPool
def play(Q):
id, l = Q
import numpy
return "3 x %d = %d" % (id, numpy.sum(l))
def play2(id,l):
import numpy
return "3 x %d = %d" % (id, numpy.sum(l))
args = [ (i, list(range(3))*i) for i in range(5) ]
arg1 = [ i for i in range(5) ]
arg2 = [ list(range(3))*i for i in range(5) ]
print("Using 12 nodes and a worker pool...")
print('Evaluate a function that expects a n-tuple argument "map(f,args)"')
pool = MpiPool(12)
res1 = pool.map(play, args)
#res1 = map(play, args)
print(pool)
print('\n'.join(res1))
print('')
print('Evaluate a function that expects n arguments "map(f,arg1,arg2)"')
res2 = pool.map(play2, arg1, arg2)
#res2 = map(play2, arg1, arg2)
print(pool)
print('\n'.join(res2))
# end of file
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