def g_org(x) :
return x + 1
def h_org(x) :
return x - 0.2
# creating batch functions
f = batchOpenMPI.batchFunction(f_org)
g = batchOpenMPI.batchFunction(g_org)
h = batchOpenMPI.batchFunction(h_org)
batchOpenMPI.begin_MPI_loop()
# building processing que
bi = g.addtoBatch(3,2)
print(f.addtoBatch(bi))
print(h.addtoBatch(bi))
batchOpenMPI.processBatch() #get the workers to calculate all the inputs
# now actuall code
print (
"""
f(x) = x ** 2
g(x) = x + 1
h(x) = x - 0.2
f(g(3)) = %f
h(g(3)) = %f
""" ) % (f(g(3)), h(g(3)))
batchOpenMPI.end_MPI_loop(print_stats=True) #releases workers
print('** nothing should be solved on the masters')
"""
example of how2use batchOpenMPI, with lastProcessBatch=True to avoid process being tied down unessarcyilly
"""
import batchOpenMPI, time
def randomPause_base(pause) :
time.sleep(pause)
randomPause = batchOpenMPI.batchFunction(randomPause_base)
batchOpenMPI.begin_MPI_loop()
print('lastProcessBatch=True example/test')
pauses = [1,3]
for pause in pauses :
randomPause.addtoBatch(pause)
batchOpenMPI.processBatch(lastProcessBatch=True)
for pause in pauses:
randomPause(pause)
batchOpenMPI.end_MPI_loop(print_stats=True)
print('The first worker should have exited before the last worker, and spent less time processing')
