duplication = int(sys.argv[6])
parallelism = int(sys.argv[7])
algorithm = sys.argv[8]
f = open(ptextFile, 'r')
f1 = open(tracesFile, 'r')
if algorithm == 'Algo1':
dpa = AlgoDPA(keys, numTraces, numBits, duplication, parallelism)
elif algorithm == 'nlf':
dpa = NLFDPA(keys, numTraces, numBits, duplication, parallelism)
##########################################################
## Generates Synthetic Traces Based On Prediction Model ##
##########################################################
dpa.doSimulation(f)
dpa.findLeakage(f1, peaks=0, index=None)
correlations = dpa.attackSamples(dpa.peaks)
#correlations = dpa.attackPeaks(dpa.peaks)
#correlations = dpa.attackSelectedPeaks(dpa.peaks, 110)
results = dpa.findKey(correlations)
print results
#for result in results:
# print result.timeIndex
# dpa = Sbox1DPA(keys, numTraces, duplication)
elif algorithm == 'nlf':
dpa = NLFDPA(keys, numTraces, numBits, duplication, parallelism)
dpa.doSimulation(f)
dpa.computeDeltas()
f1 = open(tracesFile, 'r')
position = f1.tell()
log.info('finding peak values...')
peaks = dpa.findLeakage(f1)
log.info('attacking...')
correlations = dpa.attackPeaks(peaks)
results = dpa.findKey(correlations)
#####################
log.info(results)
if algorithm == 'Algo1' or algorithm == 'nlf':
pp = [y.value for x in peaks.values() for y in x]
samples = [x for x in xrange((numBits/parallelism)*numTraces)]
deltaSamples = [x for x in xrange(((numBits-1)/parallelism)*numTraces)]
#elif algorithm == 'sbox1':
