Cannot reproduce results from lascar in jlsca

[r3-ck0]

Hi,

I was working on a CPA problem that I was bashing my head in using jlsca and which was trivially solved by lascar and I wanted to understand the difference / my mistake. Here is the data to reproduce:

cpa_data.zip

Here is my code for jlsca:

using Jlsca.Trs
using Jlsca.Sca
using Jlsca.Align
using Plots
using Statistics

fname = "/home/kali/machines/self/hw/cpa/nMY.ts"
keyByteNum = 1
condavg = false;

trs = InspectorTrace(fname)

attack = AesSboxAttack()
attack.xor = true
anal = IncrementalCPA() # Also tested  CPA()

anal.leakages = [HW()] # Also tested with ID(), Bit(0) and all bits

params = DpaAttack(attack,anal)
params.maxCols = 1042
params.maxColsPost = 1042
params.dataOffset = 1
params.targetOffsets = collect(1:16)
params.updateInterval = 10
params.knownKey = missing
params.keepraw = true

getTrs() = trs

@time rankdata = sca(DistributedTrace(getTrs), params, 1, nrTraces);

And here is my code for lascar, which runs perfectly:

import numpy as np 
from lascar import Session, CpaEngine, ConsoleOutputMethod, MatPlotLibOutputMethod, RankProgressionOutputMethod, ScoreProgressionOutputMethod, DictOutputMethod
from lascar.container import TraceBatchContainer
from lascar.tools.aes import sbox

traces = np.load("traces.npy")
values = np.load("pts.npy")


engines = [
        CpaEngine(f"cpa{i}",  lambda v, k, z=i: sbox[v[z] ^ k], range(256))
        for i in range(16)
]


t = TraceBatchContainer(traces, values)
s = Session(t)
s.add_engines(engines)
s.output_method = ConsoleOutputMethod(*engines)

s.run()

If I understand correctly, lascar is using an identity leakage model, but I'm not 100% sure if it doesn't take the hamming weight somewhere still. For the rest, the lascar code - to me - looks identical to what I try to do in jlsca, but I'm probably missing an important step.