def funcMapScan(l):
resultat = futures.mapScan(func4,
operator.add,
l)
_control.execQueue.socket.pumpInfoSocket()
return resultat
#
"""
This is an example usage of a mapScan function using SCOOP.
"""
from scoop import futures
import operator
from itertools import accumulate
import time
def manipulateData(inData):
# Simulate a 10ms workload on every tasks
time.sleep(0.01)
return sum(inData)
if __name__ == '__main__':
scoopTime = time.time()
res = futures.mapScan(manipulateData, operator.add,
list([a] * a for a in range(10)))
scoopTime = time.time() - scoopTime
print("Executed parallely in: {0:.3f}s with result: {1}".format(
scoopTime, res))
serialTime = time.time()
res = list(
accumulate(map(manipulateData, list([a] * a for a in range(10)))))
serialTime = time.time() - serialTime
print("Executed serially in: {0:.3f}s with result: {1}".format(
serialTime, res))
from scoop import futures
import operator
from itertools import accumulate
import time
def manipulateData(inData):
# Simulate a 10ms workload on every tasks
time.sleep(0.01)
return sum(inData)
if __name__ == '__main__':
scoopTime = time.time()
res = futures.mapScan(
manipulateData,
operator.add,
list([a] * a for a in range(10))
)
scoopTime = time.time() - scoopTime
print("Executed parallely in: {0:.3f}s with result: {1}".format(
scoopTime,
res
)
)
serialTime = time.time()
res = list(accumulate(map(manipulateData, list([a] * a for a in range(10)))))
serialTime = time.time() - serialTime
print("Executed serially in: {0:.3f}s with result: {1}".format(
serialTime,
res
def funcMapScan(l):
resultat = futures.mapScan(func4,
operator.add,
l)
_control.execQueue.socket.pumpInfoSocket()
return resultat
