ark_ff/fields/mod.rs
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use crate::UniformRand;
use ark_serialize::{
CanonicalDeserialize, CanonicalDeserializeWithFlags, CanonicalSerialize,
CanonicalSerializeWithFlags, EmptyFlags, Flags,
};
use ark_std::{
fmt::{Debug, Display},
hash::Hash,
iter::*,
ops::{Add, AddAssign, Div, DivAssign, Mul, MulAssign, Neg, Sub, SubAssign},
vec::*,
};
pub use ark_ff_macros;
pub use num_traits::{One, Zero};
use zeroize::Zeroize;
pub mod utils;
#[macro_use]
pub mod arithmetic;
#[macro_use]
pub mod models;
pub use self::models::*;
pub mod field_hashers;
mod prime;
pub use prime::*;
mod fft_friendly;
pub use fft_friendly::*;
mod cyclotomic;
pub use cyclotomic::*;
mod sqrt;
pub use sqrt::*;
#[cfg(feature = "parallel")]
use ark_std::cmp::max;
#[cfg(feature = "parallel")]
use rayon::prelude::*;
pub trait AdditiveGroup:
Eq
+ 'static
+ Sized
+ CanonicalSerialize
+ CanonicalDeserialize
+ Copy
+ Clone
+ Default
+ Send
+ Sync
+ Hash
+ Debug
+ Display
+ UniformRand
+ Zeroize
+ Zero
+ Neg<Output = Self>
+ Add<Self, Output = Self>
+ Sub<Self, Output = Self>
+ Mul<<Self as AdditiveGroup>::Scalar, Output = Self>
+ AddAssign<Self>
+ SubAssign<Self>
+ MulAssign<<Self as AdditiveGroup>::Scalar>
+ for<'a> Add<&'a Self, Output = Self>
+ for<'a> Sub<&'a Self, Output = Self>
+ for<'a> Mul<&'a <Self as AdditiveGroup>::Scalar, Output = Self>
+ for<'a> AddAssign<&'a Self>
+ for<'a> SubAssign<&'a Self>
+ for<'a> MulAssign<&'a <Self as AdditiveGroup>::Scalar>
+ for<'a> Add<&'a mut Self, Output = Self>
+ for<'a> Sub<&'a mut Self, Output = Self>
+ for<'a> Mul<&'a mut <Self as AdditiveGroup>::Scalar, Output = Self>
+ for<'a> AddAssign<&'a mut Self>
+ for<'a> SubAssign<&'a mut Self>
+ for<'a> MulAssign<&'a mut <Self as AdditiveGroup>::Scalar>
+ ark_std::iter::Sum<Self>
+ for<'a> ark_std::iter::Sum<&'a Self>
{
type Scalar: Field;
/// The additive identity of the field.
const ZERO: Self;
/// Doubles `self`.
#[must_use]
fn double(&self) -> Self {
let mut copy = *self;
copy.double_in_place();
copy
}
/// Doubles `self` in place.
fn double_in_place(&mut self) -> &mut Self {
self.add_assign(*self);
self
}
/// Negates `self` in place.
fn neg_in_place(&mut self) -> &mut Self {
*self = -(*self);
self
}
}
/// The interface for a generic field.
/// Types implementing [`Field`] support common field operations such as addition, subtraction, multiplication, and inverses.
///
/// ## Defining your own field
/// To demonstrate the various field operations, we can first define a prime ordered field $\mathbb{F}_{p}$ with $p = 17$. When defining a field $\mathbb{F}_p$, we need to provide the modulus(the $p$ in $\mathbb{F}_p$) and a generator. Recall that a generator $g \in \mathbb{F}_p$ is a field element whose powers comprise the entire field: $\mathbb{F}_p =\\{g, g^1, \ldots, g^{p-1}\\}$.
/// We can then manually construct the field element associated with an integer with `Fp::from` and perform field addition, subtraction, multiplication, and inversion on it.
/// ```rust
/// use ark_ff::{AdditiveGroup, fields::{Field, Fp64, MontBackend, MontConfig}};
///
/// #[derive(MontConfig)]
/// #[modulus = "17"]
/// #[generator = "3"]
/// pub struct FqConfig;
/// pub type Fq = Fp64<MontBackend<FqConfig, 1>>;
///
/// # fn main() {
/// let a = Fq::from(9);
/// let b = Fq::from(10);
///
/// assert_eq!(a, Fq::from(26)); // 26 = 9 mod 17
/// assert_eq!(a - b, Fq::from(16)); // -1 = 16 mod 17
/// assert_eq!(a + b, Fq::from(2)); // 19 = 2 mod 17
/// assert_eq!(a * b, Fq::from(5)); // 90 = 5 mod 17
/// assert_eq!(a.square(), Fq::from(13)); // 81 = 13 mod 17
/// assert_eq!(b.double(), Fq::from(3)); // 20 = 3 mod 17
/// assert_eq!(a / b, a * b.inverse().unwrap()); // need to unwrap since `b` could be 0 which is not invertible
/// # }
/// ```
///
/// ## Using pre-defined fields
/// In the following example, we’ll use the field associated with the BLS12-381 pairing-friendly group.
/// ```rust
/// use ark_ff::{AdditiveGroup, Field};
/// use ark_test_curves::bls12_381::Fq as F;
/// use ark_std::{One, UniformRand, test_rng};
///
/// let mut rng = test_rng();
/// // Let's sample uniformly random field elements:
/// let a = F::rand(&mut rng);
/// let b = F::rand(&mut rng);
///
/// let c = a + b;
/// let d = a - b;
/// assert_eq!(c + d, a.double());
///
/// let e = c * d;
/// assert_eq!(e, a.square() - b.square()); // (a + b)(a - b) = a^2 - b^2
/// assert_eq!(a.inverse().unwrap() * a, F::one()); // Euler-Fermat theorem tells us: a * a^{-1} = 1 mod p
/// ```
pub trait Field:
'static
+ Copy
+ Clone
+ Debug
+ Display
+ Default
+ Send
+ Sync
+ Eq
+ Zero
+ One
+ Ord
+ Neg<Output = Self>
+ UniformRand
+ Zeroize
+ Sized
+ Hash
+ CanonicalSerialize
+ CanonicalSerializeWithFlags
+ CanonicalDeserialize
+ CanonicalDeserializeWithFlags
+ AdditiveGroup<Scalar = Self>
+ Div<Self, Output = Self>
+ DivAssign<Self>
+ for<'a> Div<&'a Self, Output = Self>
+ for<'a> DivAssign<&'a Self>
+ for<'a> Div<&'a mut Self, Output = Self>
+ for<'a> DivAssign<&'a mut Self>
+ for<'a> core::iter::Product<&'a Self>
+ From<u128>
+ From<u64>
+ From<u32>
+ From<u16>
+ From<u8>
+ From<i128>
+ From<i64>
+ From<i32>
+ From<i16>
+ From<i8>
+ From<bool>
+ Product<Self>
{
type BasePrimeField: PrimeField;
/// Determines the algorithm for computing square roots.
const SQRT_PRECOMP: Option<SqrtPrecomputation<Self>>;
/// The multiplicative identity of the field.
const ONE: Self;
/// Returns the characteristic of the field,
/// in little-endian representation.
fn characteristic() -> &'static [u64] {
Self::BasePrimeField::characteristic()
}
/// Returns the extension degree of this field with respect
/// to `Self::BasePrimeField`.
fn extension_degree() -> u64;
fn to_base_prime_field_elements(&self) -> impl Iterator<Item = Self::BasePrimeField>;
/// Convert a slice of base prime field elements into a field element.
/// If the slice length != Self::extension_degree(), must return None.
fn from_base_prime_field_elems(
elems: impl IntoIterator<Item = Self::BasePrimeField>,
) -> Option<Self>;
/// Constructs a field element from a single base prime field elements.
/// ```
/// # use ark_ff::Field;
/// # use ark_test_curves::bls12_381::Fq as F;
/// # use ark_test_curves::bls12_381::Fq2 as F2;
/// # use ark_std::One;
/// assert_eq!(F2::from_base_prime_field(F::one()), F2::one());
/// ```
fn from_base_prime_field(elem: Self::BasePrimeField) -> Self;
/// Attempt to deserialize a field element. Returns `None` if the
/// deserialization fails.
///
/// This function is primarily intended for sampling random field elements
/// from a hash-function or RNG output.
fn from_random_bytes(bytes: &[u8]) -> Option<Self> {
Self::from_random_bytes_with_flags::<EmptyFlags>(bytes).map(|f| f.0)
}
/// Attempt to deserialize a field element, splitting the bitflags metadata
/// according to `F` specification. Returns `None` if the deserialization
/// fails.
///
/// This function is primarily intended for sampling random field elements
/// from a hash-function or RNG output.
fn from_random_bytes_with_flags<F: Flags>(bytes: &[u8]) -> Option<(Self, F)>;
/// Returns a `LegendreSymbol`, which indicates whether this field element
/// is 1 : a quadratic residue
/// 0 : equal to 0
/// -1 : a quadratic non-residue
fn legendre(&self) -> LegendreSymbol;
/// Returns the square root of self, if it exists.
#[must_use]
fn sqrt(&self) -> Option<Self> {
match Self::SQRT_PRECOMP {
Some(tv) => tv.sqrt(self),
None => unimplemented!(),
}
}
/// Sets `self` to be the square root of `self`, if it exists.
fn sqrt_in_place(&mut self) -> Option<&mut Self> {
(*self).sqrt().map(|sqrt| {
*self = sqrt;
self
})
}
/// Returns `self * self`.
#[must_use]
fn square(&self) -> Self;
/// Squares `self` in place.
fn square_in_place(&mut self) -> &mut Self;
/// Computes the multiplicative inverse of `self` if `self` is nonzero.
#[must_use]
fn inverse(&self) -> Option<Self>;
/// If `self.inverse().is_none()`, this just returns `None`. Otherwise, it sets
/// `self` to `self.inverse().unwrap()`.
fn inverse_in_place(&mut self) -> Option<&mut Self>;
/// Returns `sum([a_i * b_i])`.
#[inline]
fn sum_of_products<const T: usize>(a: &[Self; T], b: &[Self; T]) -> Self {
let mut sum = Self::zero();
for i in 0..a.len() {
sum += a[i] * b[i];
}
sum
}
/// Sets `self` to `self^s`, where `s = Self::BasePrimeField::MODULUS^power`.
/// This is also called the Frobenius automorphism.
fn frobenius_map_in_place(&mut self, power: usize);
/// Returns `self^s`, where `s = Self::BasePrimeField::MODULUS^power`.
/// This is also called the Frobenius automorphism.
#[must_use]
fn frobenius_map(&self, power: usize) -> Self {
let mut this = *self;
this.frobenius_map_in_place(power);
this
}
/// Returns `self^exp`, where `exp` is an integer represented with `u64` limbs,
/// least significant limb first.
#[must_use]
fn pow<S: AsRef<[u64]>>(&self, exp: S) -> Self {
let mut res = Self::one();
for i in crate::BitIteratorBE::without_leading_zeros(exp) {
res.square_in_place();
if i {
res *= self;
}
}
res
}
/// Exponentiates a field element `f` by a number represented with `u64`
/// limbs, using a precomputed table containing as many powers of 2 of
/// `f` as the 1 + the floor of log2 of the exponent `exp`, starting
/// from the 1st power. That is, `powers_of_2` should equal `&[p, p^2,
/// p^4, ..., p^(2^n)]` when `exp` has at most `n` bits.
///
/// This returns `None` when a power is missing from the table.
#[inline]
fn pow_with_table<S: AsRef<[u64]>>(powers_of_2: &[Self], exp: S) -> Option<Self> {
let mut res = Self::one();
for (pow, bit) in crate::BitIteratorLE::without_trailing_zeros(exp).enumerate() {
if bit {
res *= powers_of_2.get(pow)?;
}
}
Some(res)
}
fn mul_by_base_prime_field(&self, elem: &Self::BasePrimeField) -> Self;
}
// Given a vector of field elements {v_i}, compute the vector {v_i^(-1)}
pub fn batch_inversion<F: Field>(v: &mut [F]) {
batch_inversion_and_mul(v, &F::one());
}
#[cfg(not(feature = "parallel"))]
// Given a vector of field elements {v_i}, compute the vector {coeff * v_i^(-1)}
pub fn batch_inversion_and_mul<F: Field>(v: &mut [F], coeff: &F) {
serial_batch_inversion_and_mul(v, coeff);
}
#[cfg(feature = "parallel")]
// Given a vector of field elements {v_i}, compute the vector {coeff * v_i^(-1)}
pub fn batch_inversion_and_mul<F: Field>(v: &mut [F], coeff: &F) {
// Divide the vector v evenly between all available cores
let min_elements_per_thread = 1;
let num_cpus_available = rayon::current_num_threads();
let num_elems = v.len();
let num_elem_per_thread = max(num_elems / num_cpus_available, min_elements_per_thread);
// Batch invert in parallel, without copying the vector
v.par_chunks_mut(num_elem_per_thread).for_each(|mut chunk| {
serial_batch_inversion_and_mul(&mut chunk, coeff);
});
}
/// Given a vector of field elements {v_i}, compute the vector {coeff * v_i^(-1)}.
/// This method is explicitly single-threaded.
fn serial_batch_inversion_and_mul<F: Field>(v: &mut [F], coeff: &F) {
// Montgomery’s Trick and Fast Implementation of Masked AES
// Genelle, Prouff and Quisquater
// Section 3.2
// but with an optimization to multiply every element in the returned vector by
// coeff
// First pass: compute [a, ab, abc, ...]
let mut prod = Vec::with_capacity(v.len());
let mut tmp = F::one();
for f in v.iter().filter(|f| !f.is_zero()) {
tmp.mul_assign(f);
prod.push(tmp);
}
// Invert `tmp`.
tmp = tmp.inverse().unwrap(); // Guaranteed to be nonzero.
// Multiply product by coeff, so all inverses will be scaled by coeff
tmp *= coeff;
// Second pass: iterate backwards to compute inverses
for (f, s) in v.iter_mut()
// Backwards
.rev()
// Ignore normalized elements
.filter(|f| !f.is_zero())
// Backwards, skip last element, fill in one for last term.
.zip(prod.into_iter().rev().skip(1).chain(Some(F::one())))
{
// tmp := tmp * f; f := tmp * s = 1/f
let new_tmp = tmp * *f;
*f = tmp * &s;
tmp = new_tmp;
}
}
#[cfg(all(test, feature = "std"))]
mod std_tests {
use crate::BitIteratorLE;
#[test]
fn bit_iterator_le() {
let bits = BitIteratorLE::new(&[0, 1 << 10]).collect::<Vec<_>>();
dbg!(&bits);
assert!(bits[74]);
for (i, bit) in bits.into_iter().enumerate() {
if i != 74 {
assert!(!bit)
} else {
assert!(bit)
}
}
}
}
#[cfg(test)]
mod no_std_tests {
use super::*;
use ark_std::{str::FromStr, test_rng};
use num_bigint::*;
// TODO: only Fr & FrConfig should need to be imported.
// The rest of imports are caused by cargo not resolving the deps properly
// from this crate and from ark_test_curves
use ark_test_curves::{
ark_ff::{batch_inversion, batch_inversion_and_mul, PrimeField},
bls12_381::Fr,
};
#[test]
fn test_batch_inversion() {
let mut random_coeffs = Vec::<Fr>::new();
let vec_size = 1000;
for _ in 0..=vec_size {
random_coeffs.push(Fr::rand(&mut test_rng()));
}
let mut random_coeffs_inv = random_coeffs.clone();
batch_inversion::<Fr>(&mut random_coeffs_inv);
for i in 0..=vec_size {
assert_eq!(random_coeffs_inv[i] * random_coeffs[i], Fr::one());
}
let rand_multiplier = Fr::rand(&mut test_rng());
let mut random_coeffs_inv_shifted = random_coeffs.clone();
batch_inversion_and_mul(&mut random_coeffs_inv_shifted, &rand_multiplier);
for i in 0..=vec_size {
assert_eq!(
random_coeffs_inv_shifted[i] * random_coeffs[i],
rand_multiplier
);
}
}
#[test]
pub fn test_from_ints() {
let felt2 = Fr::one() + Fr::one();
let felt16 = felt2 * felt2 * felt2 * felt2;
assert_eq!(Fr::from(1u8), Fr::one());
assert_eq!(Fr::from(1u16), Fr::one());
assert_eq!(Fr::from(1u32), Fr::one());
assert_eq!(Fr::from(1u64), Fr::one());
assert_eq!(Fr::from(1u128), Fr::one());
assert_eq!(Fr::from(-1i8), -Fr::one());
assert_eq!(Fr::from(-1i64), -Fr::one());
assert_eq!(Fr::from(0), Fr::zero());
assert_eq!(Fr::from(-16i32), -felt16);
assert_eq!(Fr::from(16u32), felt16);
assert_eq!(Fr::from(16i64), felt16);
assert_eq!(Fr::from(-2i128), -felt2);
assert_eq!(Fr::from(2u16), felt2);
}
#[test]
fn test_from_into_biguint() {
let mut rng = ark_std::test_rng();
let modulus_bits = Fr::MODULUS_BIT_SIZE;
let modulus: num_bigint::BigUint = Fr::MODULUS.into();
let mut rand_bytes = Vec::new();
for _ in 0..(2 * modulus_bits / 8) {
rand_bytes.push(u8::rand(&mut rng));
}
let rand = BigUint::from_bytes_le(&rand_bytes);
let a: BigUint = Fr::from(rand.clone()).into();
let b = rand % modulus;
assert_eq!(a, b);
}
#[test]
fn test_from_be_bytes_mod_order() {
// Each test vector is a byte array,
// and its tested by parsing it with from_bytes_mod_order, and the num-bigint
// library. The bytes are currently generated from scripts/test_vectors.py.
// TODO: Eventually generate all the test vector bytes via computation with the
// modulus
use ark_std::{rand::Rng, string::ToString};
use ark_test_curves::ark_ff::BigInteger;
use num_bigint::BigUint;
let ref_modulus = BigUint::from_bytes_be(&Fr::MODULUS.to_bytes_be());
let mut test_vectors = vec![
// 0
vec![0u8],
// 1
vec![1u8],
// 255
vec![255u8],
// 256
vec![1u8, 0u8],
// 65791
vec![1u8, 0u8, 255u8],
// 204827637402836681560342736360101429053478720705186085244545541796635082752
vec![
115u8, 237u8, 167u8, 83u8, 41u8, 157u8, 125u8, 72u8, 51u8, 57u8, 216u8, 8u8, 9u8,
161u8, 216u8, 5u8, 83u8, 189u8, 164u8, 2u8, 255u8, 254u8, 91u8, 254u8, 255u8,
255u8, 255u8, 255u8, 0u8, 0u8, 0u8,
],
// 204827637402836681560342736360101429053478720705186085244545541796635082753
vec![
115u8, 237u8, 167u8, 83u8, 41u8, 157u8, 125u8, 72u8, 51u8, 57u8, 216u8, 8u8, 9u8,
161u8, 216u8, 5u8, 83u8, 189u8, 164u8, 2u8, 255u8, 254u8, 91u8, 254u8, 255u8,
255u8, 255u8, 255u8, 0u8, 0u8, 1u8,
],
// 52435875175126190479447740508185965837690552500527637822603658699938581184512
vec![
115u8, 237u8, 167u8, 83u8, 41u8, 157u8, 125u8, 72u8, 51u8, 57u8, 216u8, 8u8, 9u8,
161u8, 216u8, 5u8, 83u8, 189u8, 164u8, 2u8, 255u8, 254u8, 91u8, 254u8, 255u8,
255u8, 255u8, 255u8, 0u8, 0u8, 0u8, 0u8,
],
// 52435875175126190479447740508185965837690552500527637822603658699938581184513
vec![
115u8, 237u8, 167u8, 83u8, 41u8, 157u8, 125u8, 72u8, 51u8, 57u8, 216u8, 8u8, 9u8,
161u8, 216u8, 5u8, 83u8, 189u8, 164u8, 2u8, 255u8, 254u8, 91u8, 254u8, 255u8,
255u8, 255u8, 255u8, 0u8, 0u8, 0u8, 1u8,
],
// 52435875175126190479447740508185965837690552500527637822603658699938581184514
vec![
115u8, 237u8, 167u8, 83u8, 41u8, 157u8, 125u8, 72u8, 51u8, 57u8, 216u8, 8u8, 9u8,
161u8, 216u8, 5u8, 83u8, 189u8, 164u8, 2u8, 255u8, 254u8, 91u8, 254u8, 255u8,
255u8, 255u8, 255u8, 0u8, 0u8, 0u8, 2u8,
],
// 104871750350252380958895481016371931675381105001055275645207317399877162369026
vec![
231u8, 219u8, 78u8, 166u8, 83u8, 58u8, 250u8, 144u8, 102u8, 115u8, 176u8, 16u8,
19u8, 67u8, 176u8, 10u8, 167u8, 123u8, 72u8, 5u8, 255u8, 252u8, 183u8, 253u8,
255u8, 255u8, 255u8, 254u8, 0u8, 0u8, 0u8, 2u8,
],
// 13423584044832304762738621570095607254448781440135075282586536627184276783235328
vec![
115u8, 237u8, 167u8, 83u8, 41u8, 157u8, 125u8, 72u8, 51u8, 57u8, 216u8, 8u8, 9u8,
161u8, 216u8, 5u8, 83u8, 189u8, 164u8, 2u8, 255u8, 254u8, 91u8, 254u8, 255u8,
255u8, 255u8, 255u8, 0u8, 0u8, 0u8, 1u8, 0u8,
],
// 115792089237316195423570985008687907853269984665640564039457584007913129639953
vec![
1u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8,
0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8, 0u8,
17u8,
],
// 168227964412442385903018725516873873690960537166168201862061242707851710824468
vec![
1u8, 115u8, 237u8, 167u8, 83u8, 41u8, 157u8, 125u8, 72u8, 51u8, 57u8, 216u8, 8u8,
9u8, 161u8, 216u8, 5u8, 83u8, 189u8, 164u8, 2u8, 255u8, 254u8, 91u8, 254u8, 255u8,
255u8, 255u8, 255u8, 0u8, 0u8, 0u8, 20u8,
],
// 29695210719928072218913619902732290376274806626904512031923745164725699769008210
vec![
1u8, 0u8, 115u8, 237u8, 167u8, 83u8, 41u8, 157u8, 125u8, 72u8, 51u8, 57u8, 216u8,
8u8, 9u8, 161u8, 216u8, 5u8, 83u8, 189u8, 164u8, 2u8, 255u8, 254u8, 91u8, 254u8,
255u8, 255u8, 255u8, 255u8, 0u8, 0u8, 0u8, 82u8,
],
];
// Add random bytestrings to the test vector list
for i in 1..512 {
let mut rng = test_rng();
let data: Vec<u8> = (0..i).map(|_| rng.gen()).collect();
test_vectors.push(data);
}
for i in test_vectors {
let mut expected_biguint = BigUint::from_bytes_be(&i);
// Reduce expected_biguint using modpow API
expected_biguint =
expected_biguint.modpow(&BigUint::from_bytes_be(&[1u8]), &ref_modulus);
let expected_string = expected_biguint.to_string();
let expected = Fr::from_str(&expected_string).unwrap();
let actual = Fr::from_be_bytes_mod_order(&i);
assert_eq!(expected, actual, "failed on test {:?}", i);
}
}
}