Merge branch 'master' into feature/lisp

This commit is contained in:
ada
2020-12-30 03:22:01 +01:00
9 changed files with 847 additions and 1 deletions

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@@ -4,7 +4,7 @@ except ImportError:
from itertools import izip_longest as zip_longest
import fractions
from numbertype import *
from .numbertype import *
# strip all copies of elt from the end of the list
def strip(L, elt):

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from bls_py import bls12381
from bls_py import pairing
from bls_py import ec
from bls_py.fields import Fq, Fq2, Fq6, Fq12, bls12381_q as Q
import random
import numpy as np
# Section 3.3.4 from "Why and How zk-SNARK Works"
def rand_scalar():
return random.randrange(1, bls12381.q)
#x = rand_scalar()
#y = ec.y_for_x(x)
g1 = ec.generator_Fq(bls12381)
g2 = ec.generator_Fq2(bls12381)
null = ec.AffinePoint(Fq(Q, 0), Fq(Q, 1), True, bls12381)
assert g1 + null == g1
#################################
# Verifier (trusted setup)
#################################
# samples a random value (a secret)
s = rand_scalar()
# calculates encryptions of s for all powers i in 0 to d
# E(s^i) = g^s^i
d = 10
encrypted_powers = [
g1 * (s**i) for i in range(d)
]
# evaluates unencrypted target polynomial with s: t(s)
target = (s - 1) * (s - 2)
# encrypted values of s provided to the prover
# Actual values of s are toxic waste and discarded
#################################
# Prover
#################################
# E(p(s)) = p(s)G
# = c_d s^d G + ... + c_1 s^1 G + c_0 s^0 G
# = s^3 G - 3 s^2 G + 2 s G
# E(h(s)) = sG
# t(s) = s^2 - 3s + 2
# E(h(s)) t(s) = s^3 G - 3 s^2 G + 2 s G
# Lets test these manually:
e_s = encrypted_powers
e_p_s = e_s[3] - 3 * e_s[2] + 2 * e_s[1]
e_h_s = e_s[1]
t_s = s**2 - 3*s + 2
assert t_s == target
assert e_p_s == e_h_s * t_s
#############################
# x^3 - 3x^2 + 2x
main_poly = np.poly1d([1, -3, 2, 0])
# (x - 1)(x - 2)
target_poly = np.poly1d([1, -1]) * np.poly1d([1, -2])
# Calculates polynomial h(x) = p(x) / t(x)
cofactor, remainder = main_poly / target_poly
assert remainder == np.poly1d([0])
# Using encrypted powers and coefficients, evaluates
# E(p(s)) and E(h(s))
def evaluate(poly, encrypted_powers):
coeffs = list(poly.coef)[::-1]
result = null
for power, coeff in zip(encrypted_powers, coeffs):
#print(coeff, power)
coeff = int(coeff)
# I have to do this for some strange reason
# Because if coeff is negative and I do += power * coeff
# then it gives me a different result than what I expect
if coeff < 0:
result -= power * (-coeff)
else:
result += power * coeff
return result
encrypted_poly = evaluate(main_poly, encrypted_powers)
assert encrypted_poly == e_p_s
encrypted_cofactor = evaluate(cofactor, encrypted_powers)
# resulting g^p and g^h are provided to the verifier
#################################
# Verifier
#################################
# Last check that p = t(s) h
assert encrypted_poly == encrypted_cofactor * target

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from bls_py import bls12381
from bls_py import pairing
from bls_py import ec
from bls_py.fields import Fq, Fq2, Fq6, Fq12, bls12381_q as Q
import random
import numpy as np
# Section 3.4 from "Why and How zk-SNARK Works"
def rand_scalar():
return random.randrange(1, bls12381.q)
#x = rand_scalar()
#y = ec.y_for_x(x)
g1 = ec.generator_Fq(bls12381)
g2 = ec.generator_Fq2(bls12381)
null = ec.AffinePoint(Fq(Q, 0), Fq(Q, 1), True, bls12381)
assert g1 + null == g1
#################################
# Verifier (trusted setup)
#################################
# samples a random value (a secret)
s = rand_scalar()
# calculate the shift
a = rand_scalar()
# calculates encryptions of s for all powers i in 0 to d
# E(s^i) = g^s^i
d = 10
encrypted_powers = [
g1 * (s**i) for i in range(d)
]
encrypted_shifted_powers = [
g1 * (a * s**i) for i in range(d)
]
# evaluates unencrypted target polynomial with s: t(s)
target = (s - 1) * (s - 2)
# encrypted values of s provided to the prover
# Actual values of s are toxic waste and discarded
#################################
# Prover
#################################
# E(p(s)) = p(s)G
# = c_d s^d G + ... + c_1 s^1 G + c_0 s^0 G
# = s^3 G - 3 s^2 G + 2 s G
# E(h(s)) = sG
# t(s) = s^2 - 3s + 2
# E(h(s)) t(s) = s^3 G - 3 s^2 G + 2 s G
# Lets test these manually:
e_s = encrypted_powers
e_p_s = e_s[3] - 3 * e_s[2] + 2 * e_s[1]
e_h_s = e_s[1]
t_s = s**2 - 3*s + 2
assert t_s == target
assert e_p_s == e_h_s * t_s
e_as = encrypted_shifted_powers
e_p_as = e_as[3] - 3 * e_as[2] + 2 * e_as[1]
assert e_p_s * a == e_p_as
#############################
# x^3 - 3x^2 + 2x
main_poly = np.poly1d([1, -3, 2, 0])
# (x - 1)(x - 2)
target_poly = np.poly1d([1, -1]) * np.poly1d([1, -2])
# Calculates polynomial h(x) = p(x) / t(x)
cofactor, remainder = main_poly / target_poly
assert remainder == np.poly1d([0])
# Using encrypted powers and coefficients, evaluates
# E(p(s)) and E(h(s))
def evaluate(poly, encrypted_powers):
coeffs = list(poly.coef)[::-1]
result = null
for power, coeff in zip(encrypted_powers, coeffs):
#print(coeff, power)
coeff = int(coeff)
# I have to do this for some strange reason
# Because if coeff is negative and I do += power * coeff
# then it gives me a different result than what I expect
if coeff < 0:
result -= power * (-coeff)
else:
result += power * coeff
return result
encrypted_poly = evaluate(main_poly, encrypted_powers)
assert encrypted_poly == e_p_s
encrypted_cofactor = evaluate(cofactor, encrypted_powers)
# Alpha shifted powers
encrypted_shift_poly = evaluate(main_poly, encrypted_shifted_powers)
# resulting g^p and g^h are provided to the verifier
#################################
# Verifier
#################################
# Last check that p = t(s) h
assert encrypted_poly == encrypted_cofactor * target
# Verify (g^p)^a == g^p'
assert encrypted_poly * a == encrypted_shift_poly

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from bls_py import bls12381
from bls_py import pairing
from bls_py import ec
from bls_py.fields import Fq, Fq2, Fq6, Fq12, bls12381_q as Q
import random
import numpy as np
# Section 3.5 from "Why and How zk-SNARK Works"
def rand_scalar():
return random.randrange(1, bls12381.q)
#x = rand_scalar()
#y = ec.y_for_x(x)
g1 = ec.generator_Fq(bls12381)
g2 = ec.generator_Fq2(bls12381)
null = ec.AffinePoint(Fq(Q, 0), Fq(Q, 1), True, bls12381)
assert g1 + null == g1
#################################
# Verifier (trusted setup)
#################################
# samples a random value (a secret)
s = rand_scalar()
# calculate the shift
a = rand_scalar()
# calculates encryptions of s for all powers i in 0 to d
# E(s^i) = g^s^i
d = 10
encrypted_powers = [
g1 * (s**i) for i in range(d)
]
encrypted_shifted_powers = [
g1 * (a * s**i) for i in range(d)
]
# evaluates unencrypted target polynomial with s: t(s)
target = (s - 1) * (s - 2)
# encrypted values of s provided to the prover
# Actual values of s are toxic waste and discarded
#################################
# Prover
#################################
# delta shift
delta = rand_scalar()
# E(p(s)) = p(s)G
# = c_d s^d G + ... + c_1 s^1 G + c_0 s^0 G
# = s^3 G - 3 s^2 G + 2 s G
# E(h(s)) = sG
# t(s) = s^2 - 3s + 2
# E(h(s)) t(s) = s^3 G - 3 s^2 G + 2 s G
# Lets test these manually:
e_s = encrypted_powers
e_p_s = e_s[3] - 3 * e_s[2] + 2 * e_s[1]
e_h_s = e_s[1]
t_s = s**2 - 3*s + 2
# exponentiate with delta
e_p_s *= delta
e_h_s *= delta
assert t_s == target
assert e_p_s == e_h_s * t_s
e_as = encrypted_shifted_powers
e_p_as = e_as[3] - 3 * e_as[2] + 2 * e_as[1]
# exponentiate with delta
e_p_as *= delta
assert e_p_s * a == e_p_as
#############################
# x^3 - 3x^2 + 2x
main_poly = np.poly1d([1, -3, 2, 0])
# (x - 1)(x - 2)
target_poly = np.poly1d([1, -1]) * np.poly1d([1, -2])
# Calculates polynomial h(x) = p(x) / t(x)
cofactor, remainder = main_poly / target_poly
assert remainder == np.poly1d([0])
# Using encrypted powers and coefficients, evaluates
# E(p(s)) and E(h(s))
def evaluate(poly, encrypted_powers):
coeffs = list(poly.coef)[::-1]
result = null
for power, coeff in zip(encrypted_powers, coeffs):
#print(coeff, power)
coeff = int(coeff)
# I have to do this for some strange reason
# Because if coeff is negative and I do += power * coeff
# then it gives me a different result than what I expect
if coeff < 0:
result -= power * (-coeff)
else:
result += power * coeff
# Add delta to the result
# Free extra obfuscation to the polynomial
return result * delta
encrypted_poly = evaluate(main_poly, encrypted_powers)
assert encrypted_poly == e_p_s
encrypted_cofactor = evaluate(cofactor, encrypted_powers)
# Alpha shifted powers
encrypted_shift_poly = evaluate(main_poly, encrypted_shifted_powers)
# resulting g^p and g^h are provided to the verifier
#################################
# Verifier
#################################
# Last check that p = t(s) h
assert encrypted_poly == encrypted_cofactor * target
# Verify (g^p)^a == g^p'
assert encrypted_poly * a == encrypted_shift_poly

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@@ -0,0 +1,152 @@
from bls_py import bls12381
from bls_py import pairing
from bls_py import ec
from bls_py.fields import Fq, Fq2, Fq6, Fq12, bls12381_q as Q
import random
import numpy as np
# Section 3.6 from "Why and How zk-SNARK Works"
def rand_scalar():
return random.randrange(1, bls12381.q)
#x = rand_scalar()
#y = ec.y_for_x(x)
g1 = ec.generator_Fq(bls12381)
g2 = ec.generator_Fq2(bls12381)
null = ec.AffinePoint(Fq(Q, 0), Fq(Q, 1), True, bls12381)
assert g1 + null == g1
null2 = ec.AffinePoint(Fq2.zero(Q), Fq2.zero(Q), True, bls12381)
assert null2 + g2 == g2
#################################
# Verifier (trusted setup)
#################################
# samples a random value (a secret)
s = rand_scalar()
# calculate the shift
a = rand_scalar()
# calculates encryptions of s for all powers i in 0 to d
# E(s^i) = g^s^i
d = 10
encrypted_powers = [
g1 * (s**i) for i in range(d)
]
encrypted_powers_g2 = [
g2 * (s**i) for i in range(d)
]
encrypted_shifted_powers = [
g1 * (a * s**i) for i in range(d)
]
# evaluates unencrypted target polynomial with s: t(s)
target = (s - 1) * (s - 2)
# CRS = common reference string = trusted setup parameters
target_crs = g1 * target
alpha_crs = g2 * a
# Proving key = (encrypted_powers, encrypted_shifted_powers)
# Verify key = (target_crs, alpha_crs)
# encrypted values of s provided to the prover
# Actual values of s are toxic waste and discarded
#################################
# Prover
#################################
# delta shift
delta = rand_scalar()
# E(p(s)) = p(s)G
# = c_d s^d G + ... + c_1 s^1 G + c_0 s^0 G
# = s^3 G - 3 s^2 G + 2 s G
# E(h(s)) = sG
# t(s) = s^2 - 3s + 2
# E(h(s)) t(s) = s^3 G - 3 s^2 G + 2 s G
# Lets test these manually:
e_s = encrypted_powers
e_p_s = e_s[3] - 3 * e_s[2] + 2 * e_s[1]
e_h_s = e_s[1]
t_s = s**2 - 3*s + 2
# exponentiate with delta
e_p_s *= delta
e_h_s *= delta
assert t_s == target
assert e_p_s == e_h_s * t_s
e_as = encrypted_shifted_powers
e_p_as = e_as[3] - 3 * e_as[2] + 2 * e_as[1]
# exponentiate with delta
e_p_as *= delta
assert e_p_s * a == e_p_as
#############################
# x^3 - 3x^2 + 2x
main_poly = np.poly1d([1, -3, 2, 0])
# (x - 1)(x - 2)
target_poly = np.poly1d([1, -1]) * np.poly1d([1, -2])
# Calculates polynomial h(x) = p(x) / t(x)
cofactor, remainder = main_poly / target_poly
assert remainder == np.poly1d([0])
# Using encrypted powers and coefficients, evaluates
# E(p(s)) and E(h(s))
def evaluate(poly, encrypted_powers, identity):
coeffs = list(poly.coef)[::-1]
result = identity
for power, coeff in zip(encrypted_powers, coeffs):
#print(coeff, power)
coeff = int(coeff)
# I have to do this for some strange reason
# Because if coeff is negative and I do += power * coeff
# then it gives me a different result than what I expect
if coeff < 0:
result -= power * (-coeff)
else:
result += power * coeff
# Add delta to the result
# Free extra obfuscation to the polynomial
return result * delta
encrypted_poly = evaluate(main_poly, encrypted_powers, null)
assert encrypted_poly == e_p_s
encrypted_cofactor = evaluate(cofactor, encrypted_powers_g2, null2)
# Alpha shifted powers
encrypted_shift_poly = evaluate(main_poly, encrypted_shifted_powers, null)
# resulting g^p and g^h are provided to the verifier
# proof = (encrypted_poly, encrypted_cofactor, encrypted_shift_poly)
#################################
# Verifier
#################################
# Last check that p = t(s) h
# Check polynomial cofactors:
#assert encrypted_poly == encrypted_cofactor * target
# e(g^p, g) == e(g^t, g^h)
res1 = pairing.ate_pairing(encrypted_poly, g2)
res2 = pairing.ate_pairing(target_crs, encrypted_cofactor)
assert res1 == res2
# Verify (g^p)^a == g^p'
# Check polynomial restriction:
res1 = pairing.ate_pairing(encrypted_shift_poly, g2)
res2 = pairing.ate_pairing(encrypted_poly, alpha_crs)
assert res1 == res2
#assert encrypted_poly * a == encrypted_shift_poly

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@@ -0,0 +1,146 @@
from bls_py import bls12381
from bls_py import pairing
from bls_py import ec
from bls_py.fields import Fq, Fq2, Fq6, Fq12, bls12381_q as Q
import random
import numpy as np
# Section 3.6 from "Why and How zk-SNARK Works"
def rand_scalar():
return random.randrange(1, bls12381.q)
#x = rand_scalar()
#y = ec.y_for_x(x)
g1 = ec.generator_Fq(bls12381)
g2 = ec.generator_Fq2(bls12381)
null = ec.AffinePoint(Fq(Q, 0), Fq(Q, 1), True, bls12381)
assert g1 + null == g1
null2 = ec.AffinePoint(Fq2.zero(Q), Fq2.zero(Q), True, bls12381)
assert null2 + g2 == g2
#################################
# Verifier (trusted setup)
#################################
# samples a random value (a secret)
s = rand_scalar()
# calculate the shift
a = rand_scalar()
# calculates encryptions of s for all powers i in 0 to d
# E(s^i) = g^s^i
d = 10
encrypted_powers = [
g1 * (s**i) for i in range(d)
]
encrypted_powers_g2 = [
g2 * (s**i) for i in range(d)
]
encrypted_shifted_powers = [
g1 * (a * s**i) for i in range(d)
]
encrypted_shifted_powers_g2 = [
g2 * (a * s**i) for i in range(d)
]
# evaluates unencrypted target polynomial with s: t(s)
target = (s - 1)
# CRS = common reference string = trusted setup parameters
target_crs = g1 * target
alpha_crs = g2 * a
alpha_crs_g1 = g1 * a
# Proving key = (encrypted_powers, encrypted_shifted_powers)
# Verify key = (target_crs, alpha_crs)
# encrypted values of s provided to the prover
# Actual values of s are toxic waste and discarded
#################################
# Prover
#################################
left_poly = np.poly1d([3])
right_poly = np.poly1d([2])
out_poly = np.poly1d([6])
# x^3 - 3x^2 + 2x
main_poly = left_poly * right_poly - out_poly
# (x - 1)
target_poly = np.poly1d([1, -1])
# Calculates polynomial h(x) = p(x) / t(x)
cofactor, remainder = main_poly / target_poly
assert remainder == np.poly1d([0])
# Using encrypted powers and coefficients, evaluates
# E(p(s)) and E(h(s))
def evaluate(poly, encrypted_powers, identity):
coeffs = list(poly.coef)[::-1]
result = identity
for power, coeff in zip(encrypted_powers, coeffs):
#print(coeff, power)
coeff = int(coeff)
# I have to do this for some strange reason
# Because if coeff is negative and I do += power * coeff
# then it gives me a different result than what I expect
if coeff < 0:
result -= power * (-coeff)
else:
result += power * coeff
return result
assert left_poly * right_poly == out_poly
encrypted_left_poly = evaluate(left_poly, encrypted_powers, null)
encrypted_right_poly = evaluate(right_poly, encrypted_powers_g2, null2)
encrypted_out_poly = evaluate(out_poly, encrypted_powers, null)
#assert encrypted_poly == e_p_s
encrypted_cofactor = evaluate(cofactor, encrypted_powers_g2, null2)
# Alpha shifted powers
encrypted_shift_left_poly = evaluate(left_poly, encrypted_shifted_powers, null)
encrypted_shift_right_poly = evaluate(right_poly, encrypted_shifted_powers_g2, null2)
encrypted_shift_out_poly = evaluate(out_poly, encrypted_shifted_powers, null)
# resulting g^p and g^h are provided to the verifier
# proof = (encrypted_poly, encrypted_cofactor, encrypted_shift_poly)
#################################
# Verifier
#################################
# Last check that p = t(s) h
assert pairing.ate_pairing(2 * g1, g2) == pairing.ate_pairing(g1, g2) * pairing.ate_pairing(g1, g2)
# Verify (g^p)^a == g^p'
# Check polynomial restriction:
def check_polynomial_restriction(encrypted_shift_poly, encrypted_poly):
res1 = pairing.ate_pairing(encrypted_shift_poly, g2)
res2 = pairing.ate_pairing(encrypted_poly, alpha_crs)
assert res1 == res2
def check_polynomial_restriction_swapped(encrypted_shift_poly, encrypted_poly):
res1 = pairing.ate_pairing(g1, encrypted_shift_poly)
res2 = pairing.ate_pairing(alpha_crs_g1, encrypted_poly)
assert res1 == res2
check_polynomial_restriction(encrypted_shift_left_poly, encrypted_left_poly)
check_polynomial_restriction_swapped(encrypted_shift_right_poly, encrypted_right_poly)
check_polynomial_restriction(encrypted_shift_out_poly, encrypted_out_poly)
# Valid operation check
# e(g^l, g^r) == e(g^t, g^h) * e(g^o, g)
res1 = pairing.ate_pairing(encrypted_left_poly, encrypted_right_poly)
res2 = pairing.ate_pairing(target_crs, encrypted_cofactor) * \
pairing.ate_pairing(encrypted_out_poly, g2)
assert res1 == res2

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import numpy as np
def lagrange(points):
result = np.poly1d([0])
for i, (x_i, y_i) in enumerate(points):
poly = np.poly1d([y_i])
for j, (x_j, y_j) in enumerate(points):
if i == j:
continue
poly *= np.poly1d([1, -x_j]) / (x_i - x_j)
#print(poly)
#print(poly(1), poly(2), poly(3))
result += poly
return result
left = lagrange([
(1, 2), (2, 2), (3, 6)
])
print(left)
right = lagrange([
(1, 1), (2, 3), (3, 2)
])
print(right)
out = lagrange([
(1, 2), (2, 6), (3, 12)
])
print(out)

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from bls_py import bls12381
from bls_py import pairing
from bls_py import ec
from bls_py.fields import Fq, Fq2, Fq6, Fq12, bls12381_q as Q
from finite_fields.modp import IntegersModP
from finite_fields.polynomial import polynomialsOver
import random
n = bls12381.n
g1 = ec.generator_Fq(bls12381)
g2 = ec.generator_Fq2(bls12381)
null = ec.AffinePoint(Fq(n, 0), Fq(n, 1), True, bls12381)
assert null + g1 == g1
null2 = ec.AffinePoint(Fq2.zero(n), Fq2.zero(n), True, bls12381)
assert null2 + g2 == g2
mod_field = IntegersModP(n)
poly = polynomialsOver(mod_field).factory
def lagrange(points):
result = poly([0])
for i, (x_i, y_i) in enumerate(points):
p = poly([y_i])
for j, (x_j, y_j) in enumerate(points):
if i == j:
continue
p *= poly([-x_j, 1]) / (x_i - x_j)
#print(poly)
#print(poly(1), poly(2), poly(3))
result += p
return result
def poly_call(poly, x):
result = mod_field(0)
for degree, coeff in enumerate(poly):
result += coeff * (x**degree)
return result.n
left_points = [
(1, 2), (2, 2), (3, 6)
]
left_poly = lagrange(left_points)
#l = poly([2]) * poly([1, -1])
print("Left:")
print(left_poly)
for x, y in left_points:
assert poly_call(left_poly, x) == y
right_points = [
(1, 1), (2, 3), (3, 2)
]
right_poly = lagrange(right_points)
print("Right:")
print(right_poly)
for x, y in right_points:
assert poly_call(right_poly, x) == y
out_points = [
(1, 2), (2, 6), (3, 12)
]
out_poly = lagrange(out_points)
print("Out:")
print(out_poly)
for x, y in out_points:
assert poly_call(out_poly, x) == y
target_poly = poly([-1, 1]) * poly([-2, 1]) * poly([-3, 1])
assert poly_call(target_poly, 1) == 0
assert poly_call(target_poly, 2) == 0
assert poly_call(target_poly, 3) == 0
main_poly = left_poly * right_poly - out_poly
cofactor_poly = main_poly / target_poly
assert left_poly * right_poly - out_poly == target_poly * cofactor_poly
def rand_scalar():
return random.randrange(1, bls12381.q)
#################################
# Verifier (trusted setup)
#################################
# samples a random value (a secret)
toxic_scalar = rand_scalar()
# calculate the shift
alpha_shift = rand_scalar()
# calculates encryptions of s for all powers i in 0 to d
# E(s^i) = g^s^i
degree = 10
enc_s1 = [
g1 * (toxic_scalar**i) for i in range(degree)
]
enc_s2 = [
g2 * (toxic_scalar**i) for i in range(degree)
]
enc_s1_shift = [
g1 * (alpha_shift * toxic_scalar**i) for i in range(degree)
]
enc_s2_shift = [
g2 * (alpha_shift * toxic_scalar**i) for i in range(degree)
]
# evaluates unencrypted target polynomial with s: t(s)
toxic_target = (toxic_scalar - 1) * (toxic_scalar - 2) * (toxic_scalar - 3)
# CRS = common reference string = trusted setup parameters
target_crs = g1 * toxic_target
alpha_crs = g2 * alpha_shift
alpha_crs_g1 = g1 * alpha_shift
# Proving key = (encrypted_powers, encrypted_shifted_powers)
# Verify key = (target_crs, alpha_crs)
# encrypted values of s provided to the prover
# Actual values of s are toxic waste and discarded
#################################
# Prover
#################################
# Using encrypted powers and coefficients, evaluates
# E(p(s)) and E(h(s))
def evaluate(poly, encrypted_powers, identity):
result = identity
for power, coeff in zip(encrypted_powers, poly):
result += power * coeff.n
return result
enc_left = evaluate(left_poly, enc_s1, null)
enc_right = evaluate(right_poly, enc_s2, null2)
enc_out = evaluate(out_poly, enc_s1, null)
enc_cofactor = evaluate(cofactor_poly, enc_s2, null2)
# Alpha shifted powers
enc_left_shift = evaluate(left_poly, enc_s1_shift, null)
enc_right_shift = evaluate(right_poly, enc_s2_shift, null2)
enc_out_shift = evaluate(out_poly, enc_s1_shift, null)
#################################
# Verifier
#################################
def restrict_polynomial_g1(encrypted_shift_poly, encrypted_poly):
res1 = pairing.ate_pairing(encrypted_shift_poly, g2)
res2 = pairing.ate_pairing(encrypted_poly, alpha_crs)
assert res1 == res2
def restrict_polynomial_g2(encrypted_shift_poly, encrypted_poly):
res1 = pairing.ate_pairing(g1, encrypted_shift_poly)
res2 = pairing.ate_pairing(alpha_crs_g1, encrypted_poly)
assert res1 == res2
restrict_polynomial_g1(enc_left_shift, enc_left)
restrict_polynomial_g2(enc_right_shift, enc_right)
restrict_polynomial_g1(enc_out_shift, enc_out)
# Valid operation check
# e(g^l, g^r) == e(g^t, g^h) * e(g^o, g)
res1 = pairing.ate_pairing(enc_left, enc_right)
res2 = pairing.ate_pairing(target_crs, enc_cofactor) * \
pairing.ate_pairing(enc_out, g2)
assert res1 == res2