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##############################################################################
# Copyright (c) 2017 ZTE Corporation and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
import os
import pickle
import datetime
intmem_copy = os.popen("cat Intmem | grep 'BatchRun Copy' | awk '{print $4}'").read().rstrip()
intmem_scale = os.popen("cat Intmem | grep 'BatchRun Scale' | awk '{print $4}'").read().rstrip()
intmem_add = os.popen("cat Intmem | grep 'BatchRun Add' | awk '{print $4}'").read().rstrip()
intmem_triad = os.popen("cat Intmem | grep 'BatchRun Triad' | awk '{print $4}'").read().rstrip()
intmem_average = os.popen("cat Intmem | grep 'BatchRun AVERAGE' | awk '{print $4}'").read().rstrip()
print intmem_copy
print intmem_average
floatmem_copy = os.popen("cat Floatmem | grep 'BatchRun Copy' | awk '{print $4}'").read().rstrip()
floatmem_scale = os.popen("cat Floatmem | grep 'BatchRun Scale' | awk '{print $4}'").read().rstrip()
floatmem_add = os.popen("cat Floatmem | grep 'BatchRun Add' | awk '{print $4}'").read().rstrip()
floatmem_triad = os.popen("cat Floatmem | grep 'BatchRun Triad' | awk '{print $4}'").read().rstrip()
floatmem_average = os.popen("cat Floatmem | grep 'BatchRun AVERAGE' | awk '{print $4}'").read().rstrip()
print floatmem_copy
print floatmem_average
hostname = os.popen("hostname").read().rstrip()
time_stamp = str(datetime.datetime.utcnow().isoformat())
os.system("mv Intmem " + hostname + "-" + time_stamp + ".log")
os.system("cp Floatmem >> " + hostname + "-" + time_stamp + ".log")
result = {"int_bandwidth": {"copy": intmem_copy,
"add": intmem_add,
"scale": intmem_scale,
"triad": intmem_triad,
"average": intmem_average},
"float_bandwidth": {"copy": floatmem_copy,
"add": floatmem_add,
"scale": floatmem_scale,
"triad": floatmem_triad,
"average": floatmem_average}}
with open('./result_temp', 'w+') as result_file:
pickle.dump(result, result_file)
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