def testPickledSharing(self):
ss = [(x, x + 10) for x in range(0, 120, 20)]
s = SegmentList(iter=ss, normalize=True)
s.share("/testshare")
b = pickle.loads(pickle.dumps(s))
self.assertEqual(s, b)
def testSharing(self):
ss = [(x, x + 10) for x in range(0, 120, 20)]
s = SegmentList(iter=ss, normalize=True)
s.share("/testshare")
n = SegmentList(share=s)
self.assertEqual(s, n)
def testUnsharing(self):
ss = [(x, x + 10) for x in range(0, 120, 20)]
s = SegmentList(iter=ss, normalize=True)
s.share("/testshare")
s.unshare()
s.share("/testshare")
s.unshare()
import multiprocessing
from gat.SegmentList import SegmentList
nsegments = 100000000
nsegments = 10000000
ncpu = 2
nwork = 100
s = SegmentList(iter=[(x, x + 1) for x in range(0, nsegments, 2)],
normalize=True)
print("built list")
r = input("press return")
s.share("/test")
print("shared data")
r = input("press return")
def dowork(segs):
while 1:
pass
return segs.sum()
p = multiprocessing.Pool(ncpu)
print("starting mp")
r = p.map(dowork, [s for i in range(nwork)])
