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Klefki is a playground for researching elliptic curve group based algorithms & applications, such as MPC, HE, ZKP, and Bitcoin/Ethereum. All data types & structures are based on mathematical defination of abstract algebra.
Klefki (Japanese: クレッフィ Cleffy) is a dual-type Steel/Fairy Pokémon introduced in Generation VI. It is not known to evolve into or from any other Pokémon.
Klefki is a playground for researching elliptic curve group based algorithms & applications, such as MPC, HE, ZKP, and Bitcoin/Ethereum. All data types & structures are based on mathematical defination of abstract algebra.
pip3 install klefki
klefki shell
Have Fun!!!!
from klefki.curves.barreto_naehrig import bn128
G1 = bn128.ECGBN128.G1
G2 = bn128.ECGBN128.G2
G = G1
e = bn128.ECGBN128.e
one = bn128.BN128FP12.one()
p1 = e(G2, G1)
p2 = e(G2, G1 @ 2)
assert p1 * p1 == p2
import klefki.const as const
from klefki.algebra.fields import FiniteField
from klefki.algebra.groups import EllipticCurveGroup
from klefki.algebra.groups import EllipicCyclicSubgroup
from klefki.curves.arith import short_weierstrass_form_curve_addition2
class FiniteFieldSecp256k1(FiniteField):
P = const.SECP256K1_P
class FiniteFieldCyclicSecp256k1(FiniteField):
P = const.SECP256K1_N
class EllipticCurveGroupSecp256k1(EllipticCurveGroup):
"""
y^2 = x^3 + A * x + B
"""
N = const.SECP256K1_N
A = const.SECP256K1_A
B = const.SECP256K1_B
def op(self, g):
field = self.id[0].__class__
x, y = short_weierstrass_form_curve_addition2(
self.x, self.y,
g.x, g.y,
field.zero(),
field.zero(),
field.zero(),
field(self.A),
field(self.B),
field
)
if x == y == field(0):
return self.__class__(0)
return self.__class__((x, y))
from klefki.zkp.r1cs import R1CS
from functools import partial
@R1CS.r1cs
def t(x):
y = x**3
return y + x + 5
s = t.witness(3)
assert R1CS.verify(s, *t.r1cs)
assert s[2] == t(3)
from klefki.crypto.ssss import SSSS
from klefki.const import SECP256K1_P as P
from klefki.algebra.utils import randfield
from klefki.algebra.meta import field
import random
def test_ssss():
F = field(P)
s = SSSS(F)
k = random.randint(1, 100)
n = k * 3
secret = randfield(F)
s.setup(secret, k, n)
assert s.decrypt([s.join() for _ in range(k-1)]) != secret
assert s.decrypt([s.join() for _ in range(k+1)]) == secret
assert s.decrypt([s.join() for _ in range(k+2)]) == secret
With AAT(Abstract Algebra Type)
you can easily implement the bitcoin priv/pub key
and sign/verify
algorithms like this:
import random
from klefki.utils import to_sha256int
from klefki.algebra.concrete import (
JacobianGroupSecp256k1 as JG,
EllipticCurveCyclicSubgroupSecp256k1 as CG,
EllipticCurveGroupSecp256k1 as ECG,
FiniteFieldCyclicSecp256k1 as CF
)
N = CG.N
G = CG.G
def random_privkey() -> CF:
return CF(random.randint(1, N))
def pubkey(priv: CF) -> ECG:
return ECG(JG(G @ priv))
def sign(priv: CF, m: str) -> tuple:
k = CF(random.randint(1, N))
z = CF(to_sha256int(m))
r = CF((G @ k).value[0]) # From Secp256k1Field to CyclicSecp256k1Field
s = z / k + priv * r / k
return r, s
def verify(pub: ECG, sig: tuple, mhash: int):
r, s = sig
z = CF(mhash)
u1 = z / s
u2 = r / s
rp = G @ u1 + pub @ u2
return r == rp.value[0]
Even proof the Sign/Verify
algorithm mathematically.
def proof():
priv = random_privkey()
m = 'test'
k = CF(random_privkey())
z = CF(to_sha256int(m))
r = CF((G @ k).value[0])
s = z / k + priv * r / k
assert k == z / s + priv * r / s
assert G @ k == G @ (z / s + priv * r / s)
assert G @ k == G @ (z / s) + G @ priv @ (r / s)
pub = G @ priv
assert pub == pubkey(priv)
assert G @ k == G @ (z / s) + pub @ (r / s)
u1 = z / s
u2 = r / s
assert G @ k == G @ u1 + pub @ u2
Or transform your Bitcoin Private Key to EOS Private/Pub key (or back)
from klefki.bitcoin.private import decode_privkey
from klefki.eos.public import gen_pub_key
from klefki.eos.private import encode_privkey
def test_to_eos(priv):
key = decode_privkey(priv)
eos_priv = encode_privkey(key)
eos_pub = gen_pub_key(key)
print(eos_priv, eos_pub)
FAQs
Klefki is a playground for researching elliptic curve group based algorithms & applications, such as MPC, HE, ZKP, and Bitcoin/Ethereum. All data types & structures are based on mathematical defination of abstract algebra.
We found that klefki demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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