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#
# This file is part of Scalable COncurrent Operations in Python (SCOOP).
#
# SCOOP is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as
# published by the Free Software Foundation, either version 3 of
# the License, or (at your option) any later version.
#
# SCOOP is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with SCOOP. If not, see <http://www.gnu.org/licenses/>.
#
"""
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
)
)
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