Files
threshold/pkg/math/polynomial/lagrange_bigint_test.go
Abhishek Krishna 9789bf63b1 pkg/math/polynomial: add LagrangeAtZeroBigInt for tfhe combine
Issue #20 (Threshold-FHE: replace fake partial-decrypt stub with real
Lagrange-interpolated distributed decryption) is the goal; this PR is
the precursor primitive — a big.Int sibling of the existing curve.Scalar
Lagrange. It is the function the real CombineShares will call once the
PartialDecrypt side lands.

What this adds:

  LagrangeAtZeroBigInt(shares, modulus) -> p(0), error

  Returns p(0) where p is the polynomial of minimal degree passing
  through (x_i = bigEndianBytes(id_i) mod modulus, y_i = shares[id_i])
  for every party.ID in shares. All arithmetic in F_modulus; modulus is
  expected prime (Lagrange combine requires modular inverses to exist).

  Error contract is explicit and deterministic:
    - empty shares
    - modulus <= 1 or nil
    - two party IDs reducing to the same x-coordinate (caught up front
      before any contribution is summed, so failures don't taint state)
    - zero denominator (x_j == x_i mod modulus)
    - non-invertible denominator (composite modulus path)

  Result is always canonicalized to 0 <= result < modulus.

Why a big.Int sibling and not reuse the existing curve.Scalar version:
the LWE/RLWE ciphertext modulus that TFHE decryption combines in is not
an elliptic-curve scalar field — it's a ring/lattice modulus (the
PN9QP28_STD128 set referenced in issue #20 uses 28-bit and 54-bit
coefficient moduli). curve.Scalar can't represent those without
shoehorning, and reusing it would conflate two distinct algebraic
contexts in the same call site. Keeping them sibling functions in the
same package matches the structure FROST / CMP already uses.

Test coverage:

  - constant polynomial (every share == c → p(0) == c)
  - random degree-(t-1) polynomial, recover p(0) for (3,3), (3,5), and
    (11,21) thresholds; uses a near-2^64 prime for the (11,21) case to
    exercise the multi-word path
  - subset independence: two disjoint t-sized subsets of a (t,n) sharing
    recover the same secret
  - canonical range invariant (0 <= result < modulus)
  - empty shares, invalid modulus, duplicate x-coordinate error paths

What this does NOT close:

Issue #20 is fully closed only when protocols/tfhe/tfhe.go stops being
an HMAC stub and PartialDecrypt produces real LWE partial-decryption
shares. That's the PartialDecrypt side. This PR is the Combine side —
the math the real CombineShares will call. They can land independently;
the Combine is testable in isolation against a hand-rolled polynomial,
which is what the test file does.

Refs:
  - issue #20 (this repo)
  - LP-137 (TFHE Real Threshold Spec, referenced in protocols/tfhe/tfhe.go header)
  - LP-181 Magnetar (prerequisite chain per project memory)
  - luxfi/fhe PR #21 (prior art, closed; partial-decrypt API shape)
2026-06-01 21:24:48 +05:30

226 lines
6.8 KiB
Go

// Copyright (c) 2024-2026 Lux Industries Inc.
// SPDX-License-Identifier: BSD-3-Clause
package polynomial_test
import (
"crypto/rand"
"math/big"
"testing"
"github.com/luxfi/threshold/internal/test"
"github.com/luxfi/threshold/pkg/math/polynomial"
"github.com/luxfi/threshold/pkg/party"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
// p1009 is a small prime used for hand-checkable correctness assertions.
var p1009 = big.NewInt(1009)
// pTfheToy is a 64-bit prime in the ballpark of what a small RLWE coefficient
// modulus looks like; large enough to ensure no test accidentally relies on
// p1009-specific arithmetic, small enough to keep tests fast.
var pTfheToy = func() *big.Int {
p, _ := new(big.Int).SetString("18446744073709551557", 10) // largest prime < 2^64
return p
}()
func bigSharesFromValues(ids party.IDSlice, ys []*big.Int) map[party.ID]*big.Int {
if len(ids) != len(ys) {
panic("bigSharesFromValues: ids and ys length mismatch")
}
m := make(map[party.ID]*big.Int, len(ids))
for i, id := range ids {
m[id] = new(big.Int).Set(ys[i])
}
return m
}
// Constant polynomial p(x) = c. Every share is c, so p(0) = c regardless of
// which subset is given.
func TestLagrangeAtZeroBigInt_constantPolynomial(t *testing.T) {
c := big.NewInt(42)
ids := test.PartyIDs(5)
ys := make([]*big.Int, len(ids))
for i := range ys {
ys[i] = new(big.Int).Set(c)
}
shares := bigSharesFromValues(ids, ys)
got, err := polynomial.LagrangeAtZeroBigInt(shares, p1009)
require.NoError(t, err)
assert.Equal(t, 0, got.Cmp(c), "expected p(0) = %v, got %v", c, got)
}
// Round-trip: pick a random polynomial of degree t-1, evaluate it at each
// party's x-coordinate, then recover p(0) via LagrangeAtZeroBigInt and assert
// it matches the polynomial's constant term. This is the property real
// threshold-FHE decryption relies on.
func TestLagrangeAtZeroBigInt_secretRecoveryRoundTrip(t *testing.T) {
t.Parallel()
cases := []struct {
name string
n int
t int
mod *big.Int
}{
{"3-of-3 small prime", 3, 3, p1009},
{"3-of-5 small prime", 5, 3, p1009},
{"11-of-21 tfhe-toy prime", 21, 11, pTfheToy},
}
for _, tc := range cases {
tc := tc
t.Run(tc.name, func(t *testing.T) {
ids := test.PartyIDs(tc.n)
ys := make([]*big.Int, tc.n)
// Random polynomial coefficients a_0..a_{t-1}; a_0 is the secret.
coeffs := make([]*big.Int, tc.t)
for i := range coeffs {
v, err := rand.Int(rand.Reader, tc.mod)
require.NoError(t, err)
coeffs[i] = v
}
secret := new(big.Int).Set(coeffs[0])
// Evaluate p at each party's x = bigEndianBytes(id) mod modulus.
for i, id := range ids {
x := new(big.Int).SetBytes([]byte(id))
x.Mod(x, tc.mod)
y := new(big.Int)
xPow := big.NewInt(1)
for _, a := range coeffs {
term := new(big.Int).Mul(a, xPow)
y.Add(y, term)
y.Mod(y, tc.mod)
xPow.Mul(xPow, x)
xPow.Mod(xPow, tc.mod)
}
ys[i] = y
}
// Pick the first t shares (Lagrange combine with a (t, n) sharing
// needs exactly t evaluation points to recover the degree-(t-1)
// polynomial).
subsetIDs := ids[:tc.t]
subsetYs := ys[:tc.t]
shares := bigSharesFromValues(subsetIDs, subsetYs)
got, err := polynomial.LagrangeAtZeroBigInt(shares, tc.mod)
require.NoError(t, err)
assert.Equal(t, 0, got.Cmp(secret),
"expected p(0) = %v, got %v (n=%d, t=%d, mod=%v)",
secret, got, tc.n, tc.t, tc.mod)
})
}
}
// Recovery is subset-invariant: with a (t, n) sharing of a degree-(t-1)
// polynomial, any size-t subset of shares recovers the same secret. We pick
// two different subsets and assert they agree.
func TestLagrangeAtZeroBigInt_subsetIndependence(t *testing.T) {
const n, threshold = 7, 4
ids := test.PartyIDs(n)
// Random degree-(threshold-1) polynomial.
coeffs := make([]*big.Int, threshold)
for i := range coeffs {
v, err := rand.Int(rand.Reader, p1009)
require.NoError(t, err)
coeffs[i] = v
}
evals := make([]*big.Int, n)
for i, id := range ids {
x := new(big.Int).SetBytes([]byte(id))
x.Mod(x, p1009)
y := new(big.Int)
xPow := big.NewInt(1)
for _, a := range coeffs {
term := new(big.Int).Mul(a, xPow)
y.Add(y, term)
y.Mod(y, p1009)
xPow.Mul(xPow, x)
xPow.Mod(xPow, p1009)
}
evals[i] = y
}
// Subset A: parties 0..threshold-1
subsetA := bigSharesFromValues(ids[:threshold], evals[:threshold])
gotA, err := polynomial.LagrangeAtZeroBigInt(subsetA, p1009)
require.NoError(t, err)
// Subset B: parties (n-threshold)..n-1
subsetB := bigSharesFromValues(ids[n-threshold:], evals[n-threshold:])
gotB, err := polynomial.LagrangeAtZeroBigInt(subsetB, p1009)
require.NoError(t, err)
assert.Equal(t, 0, gotA.Cmp(gotB),
"different subsets must recover the same secret: A=%v, B=%v", gotA, gotB)
}
// Result is always in canonical form: 0 <= result < modulus.
func TestLagrangeAtZeroBigInt_canonicalRange(t *testing.T) {
ids := test.PartyIDs(3)
// Use values just below the modulus so any non-reduction would overflow above.
largeY := new(big.Int).Sub(p1009, big.NewInt(1))
ys := []*big.Int{largeY, largeY, largeY}
shares := bigSharesFromValues(ids, ys)
got, err := polynomial.LagrangeAtZeroBigInt(shares, p1009)
require.NoError(t, err)
assert.True(t, got.Sign() >= 0, "result must be non-negative, got %v", got)
assert.True(t, got.Cmp(p1009) < 0, "result must be < modulus, got %v (modulus %v)", got, p1009)
}
// Error path: empty shares.
func TestLagrangeAtZeroBigInt_emptySharesError(t *testing.T) {
_, err := polynomial.LagrangeAtZeroBigInt(map[party.ID]*big.Int{}, p1009)
require.Error(t, err)
assert.Contains(t, err.Error(), "at least one share required")
}
// Error path: invalid modulus.
func TestLagrangeAtZeroBigInt_invalidModulusError(t *testing.T) {
ids := test.PartyIDs(2)
shares := bigSharesFromValues(ids, []*big.Int{big.NewInt(1), big.NewInt(2)})
cases := []struct {
name string
mod *big.Int
}{
{"nil modulus", nil},
{"modulus zero", big.NewInt(0)},
{"modulus one", big.NewInt(1)},
{"modulus negative", big.NewInt(-5)},
}
for _, tc := range cases {
tc := tc
t.Run(tc.name, func(t *testing.T) {
_, err := polynomial.LagrangeAtZeroBigInt(shares, tc.mod)
require.Error(t, err)
assert.Contains(t, err.Error(), "modulus must be > 1")
})
}
}
// Error path: two party IDs reduce to the same x-coordinate mod the modulus.
// We construct this with a small modulus and IDs chosen to collide.
func TestLagrangeAtZeroBigInt_duplicateXError(t *testing.T) {
// Pick a tiny modulus so single-character IDs collide easily.
tinyMod := big.NewInt(7)
// "a" -> 0x61 = 97; "h" -> 0x68 = 104. Both 97 % 7 = 6 and 104 % 7 = 6.
shares := map[party.ID]*big.Int{
party.ID("a"): big.NewInt(1),
party.ID("h"): big.NewInt(2),
}
_, err := polynomial.LagrangeAtZeroBigInt(shares, tinyMod)
require.Error(t, err)
assert.Contains(t, err.Error(), "same x-coordinate")
}