estimator.lwe_parameters.LWEParameters

class estimator.lwe_parameters.LWEParameters(n: int, q: int, Xs: ~estimator.nd.NoiseDistribution, Xe: ~estimator.nd.NoiseDistribution, m: int = <MagicMock id='140214456898800'>, tag: str | None = None)

The parameters for a Learning With Errors problem instance.

__call__(**kwargs)

Call self as a function.

Methods

__init__(n, q, Xs, Xe[, m, tag])
amplify_m(m)	Return a LWE instance parameters with m samples produced from the samples in this instance.
normalize()	EXAMPLES:
switch_modulus()	Apply modulus switching and return new instance.
updated(**kwds)	Return a new set of parameters updated according to kwds.

Attributes

m	the number of LWE samples allowed to an attacker, optionally sage.all.oo for allowing infinitely many samples.
tag	a name for the patameter set
n	the dimension of the LWE sample vector (Z/qZ)^n.
q	the modulus of the space Z/qZ of integers the LWE samples are in.
Xs	the distribution on Z/qZ from which the LWE secret is drawn
Xe	the distribution on Z/qZ from which the error term is drawn