CharlesLedger

from lascar import *
from lascar.tools.aes import sbox

filename = "/home/johndoe/ASCAD_data/ASCAD_databases/ATMega8515_raw_traces.h5"

# poi = Points Of Interest.
# We use the SNRs computed before to extract time samples where both mask and masked sensitive variable are used.
snrs = DictOutputMethod.load('SNR.pickle') # we load the snr results computed at 02-snr.py
poi = []
poi = [snrs['SNR4: masked sbox output in linear parts'][5000].argmax()]

CharlesLedger

from lascar import *
container = NpyContainer('test_leakages','test_values') # load data

class Synchronization:
    def __init__(self, lref):
        self.ref_peak_offset = ref.argmax()

    def __call__(self, leakage):
    #We need to find the peak in each leakage,and roll it to match the ref_peak
        peak_offset = leakage.argmax()

CharlesLedger

from lascar import *
container = NpyContainer('test_leakages','test_values') # load data