estimator.lwe_parameters.LWEParameters.normalize

LWEParameters.normalize()

EXAMPLES:

We perform the normal form transformation if χ_e < χ_s and we got the samples:

>>> from estimator import *
>>> Xs=ND.DiscreteGaussian(2.0)
>>> Xe=ND.DiscreteGaussian(1.58)
>>> LWE.Parameters(n=512, q=8192, Xs=Xs, Xe=Xe).normalize()
LWEParameters(n=512, q=8192, Xs=D(σ=1.58), Xe=D(σ=1.58), m=+Infinity, tag=None)

If m = n, we swap the secret and the noise:

>>> from estimator import *
>>> Xs=ND.DiscreteGaussian(2.0)
>>> Xe=ND.DiscreteGaussian(1.58)
>>> LWE.Parameters(n=512, q=8192, Xs=Xs, Xe=Xe, m=512).normalize()
LWEParameters(n=512, q=8192, Xs=D(σ=1.58), Xe=D(σ=2.00), m=512, tag=None)