def _randomele1(self):
"""
Return a reduced random form with the given discriminant.
"""
while True:
nextp = prime.nextPrime(self.cnt)
self.cnt += 1
if kronecker(self.disc, nextp) == 1:
nxtfm = sqroot(self.disc, nextp)
if not self.previous or nxtfm != self.previous:
self.previous = nxtfm
return nxtfm
def _randomele1(self):
"""
Return a reduced random form with the given discriminant.
"""
while True:
nextp = prime.nextPrime(self.cnt)
self.cnt += 1
if kronecker(self.disc, nextp) == 1:
nxtfm = sqroot(self.disc, nextp)
if not self.previous or nxtfm != self.previous:
self.previous = nxtfm
return nxtfm
def testNextPrime(self):
self.assertEqual(2, prime.nextPrime(0))
self.assertEqual(3, prime.nextPrime(2))
self.assertEqual(547, prime.nextPrime(541))
self.assertEqual(547, prime.nextPrime(542))
from nzmath import finitefield, vector, matrix, prime
from nzmath.rational import theIntegerRing
import numpy as np
import random
from math import ceil
#import functools
GF = lambda n: finitefield.FinitePrimeField(n)
GF2 = finitefield.FinitePrimeField(2)
next_prime_field = lambda n: GF(prime.nextPrime(n))
class DimensionError(vector.VectorSizeError, matrix.MatrixSizeError):
pass
def matrixToSet(X):
return set( X[i] for i in range1(X.column) )
def ffvector(compo, field):
ffcmp = map(field.createElement, compo)
return vector.Vector(ffcmp)
def ffmatrix(M, field):
return M.map(field.createElement)
def zerovector(l, field):
return vector.Vector([ field.zero for i in range(l) ])
def range1(start, stop=None, step=None):
if stop is None:
return range(1, start+1)
elif step is None:
