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use crate::algorithms;
use crate::divisibility::Domain;
use crate::ring::*;
use crate::homomorphism::*;
use crate::pid::*;
use crate::ordered::*;
#[cfg(feature = "mpir")]
pub type BigIntRing = crate::rings::mpir::MPZ;
#[cfg(not(feature = "mpir"))]
pub type BigIntRing = crate::rings::rust_bigint::RustBigintRing;
#[cfg(feature = "mpir")]
pub type BigIntRingBase = crate::rings::mpir::MPZBase;
#[cfg(not(feature = "mpir"))]
pub type BigIntRingBase = crate::rings::rust_bigint::RustBigintRingBase;
///
/// Trait for rings that are isomorphic to the ring of integers `ZZ = { ..., -2, -1, 0, 1, 2, ... }`.
///
/// Some of the functionality in this trait refers to the binary expansion of
/// a positive integer. While this is not really general, it is often required
/// for fast operations with integers.
///
/// As an additional requirement, the euclidean division (i.e. [`EuclideanRing::euclidean_div_rem()`] and
/// [`IntegerRing::euclidean_div_pow_2()`]) are additionally expected to round towards zero.
///
pub trait IntegerRing: Domain + EuclideanRing + OrderedRing + HashableElRing {
///
/// Computes a float value that is supposed to be close to value.
/// However, no guarantees are made on how close it must be, in particular,
/// this function may also always return `0.` (this is just an example -
/// it's not a good idea).
///
/// Some use cases include:
/// - Estimating control parameters (e.g. bounds for prime numbers
/// during factoring algorithms)
/// - First performing some operation on floating point numbers, and
/// then refining it to integers.
///
/// Note that a high-quality implementation of this function can vastly improve
/// performance in some cases, e.g. of [`crate::algorithms::int_bisect::root_floor()`] or
/// [`crate::algorithms::lll::lll_exact()`].
///
fn to_float_approx(&self, value: &Self::Element) -> f64;
///
/// Computes a value that is "close" to the given float. However, no guarantees
/// are made on the definition of close, in particular, this does not have to be
/// the closest integer to the given float, and cannot be used to compute rounding.
/// It is also implementation-defined when to return `None`, although this is usually
/// the case on infinity and NaN.
///
/// For information when to use (or not use) this, see its counterpart [`IntegerRing::to_float_approx()`].
///
fn from_float_approx(&self, value: f64) -> Option<Self::Element>;
///
/// Return whether the `i`-th bit in the two-complements representation of `abs(value)`
/// is `1`.
///
/// # Example
/// ```
/// # use feanor_math::primitive_int::*;
/// # use feanor_math::integer::*;
/// # use feanor_math::ring::*;
/// assert_eq!(false, StaticRing::<i32>::RING.abs_is_bit_set(&4, 1));
/// assert_eq!(true, StaticRing::<i32>::RING.abs_is_bit_set(&4, 2));
/// assert_eq!(true, StaticRing::<i32>::RING.abs_is_bit_set(&-4, 2));
/// ```
///
fn abs_is_bit_set(&self, value: &Self::Element, i: usize) -> bool;
///
/// Returns the index of the highest set bit in the two-complements representation of `abs(value)`,
/// or `None` if the value is zero.
///
/// # Example
/// ```
/// # use feanor_math::primitive_int::*;
/// # use feanor_math::integer::*;
/// # use feanor_math::ring::*;
/// assert_eq!(None, StaticRing::<i32>::RING.abs_highest_set_bit(&0));
/// assert_eq!(Some(0), StaticRing::<i32>::RING.abs_highest_set_bit(&-1));
/// assert_eq!(Some(2), StaticRing::<i32>::RING.abs_highest_set_bit(&4));
/// ```
///
fn abs_highest_set_bit(&self, value: &Self::Element) -> Option<usize>;
///
/// Returns the index of the lowest set bit in the two-complements representation of `abs(value)`,
/// or `None` if the value is zero.
///
/// # Example
/// ```
/// # use feanor_math::primitive_int::*;
/// # use feanor_math::integer::*;
/// # use feanor_math::ring::*;
/// assert_eq!(None, StaticRing::<i32>::RING.abs_lowest_set_bit(&0));
/// assert_eq!(Some(0), StaticRing::<i32>::RING.abs_lowest_set_bit(&1));
/// assert_eq!(Some(0), StaticRing::<i32>::RING.abs_lowest_set_bit(&-3));
/// assert_eq!(Some(2), StaticRing::<i32>::RING.abs_lowest_set_bit(&4));
/// ```
///
fn abs_lowest_set_bit(&self, value: &Self::Element) -> Option<usize>;
///
/// Computes the euclidean division by a power of two, always rounding to zero (note that
/// euclidean division requires that `|remainder| < |divisor|`, and thus would otherwise
/// leave multiple possible results).
///
/// # Example
/// ```
/// # use feanor_math::primitive_int::*;
/// # use feanor_math::integer::*;
/// # use feanor_math::ring::*;
/// let mut value = -7;
/// StaticRing::<i32>::RING.euclidean_div_pow_2(&mut value, 1);
/// assert_eq!(-3, value);
/// ```
///
fn euclidean_div_pow_2(&self, value: &mut Self::Element, power: usize);
///
/// Multiplies the element by a power of two.
///
fn mul_pow_2(&self, value: &mut Self::Element, power: usize);
///
/// Computes a uniformly random integer in `[0, 2^log_bound_exclusive - 1]`, assuming that
/// `rng` provides uniformly random values in the whole range of `u64`.
///
fn get_uniformly_random_bits<G: FnMut() -> u64>(&self, log2_bound_exclusive: usize, rng: G) -> Self::Element;
///
/// Computes the rounded division, i.e. rounding to the closest integer.
/// In the case of a tie (i.e. `round(0.5)`), we round towards `+/- infinity`.
///
/// # Example
/// ```
/// # use feanor_math::primitive_int::*;
/// # use feanor_math::integer::*;
/// # use feanor_math::ring::*;
/// assert_eq!(2, StaticRing::<i32>::RING.rounded_div(7, &3));
/// assert_eq!(-2, StaticRing::<i32>::RING.rounded_div(-7, &3));
/// assert_eq!(-2, StaticRing::<i32>::RING.rounded_div(7, &-3));
/// assert_eq!(2, StaticRing::<i32>::RING.rounded_div(-7, &-3));
///
/// assert_eq!(3, StaticRing::<i32>::RING.rounded_div(8, &3));
/// assert_eq!(-3, StaticRing::<i32>::RING.rounded_div(-8, &3));
/// assert_eq!(-3, StaticRing::<i32>::RING.rounded_div(8, &-3));
/// assert_eq!(3, StaticRing::<i32>::RING.rounded_div(-8, &-3));
///
/// assert_eq!(4, StaticRing::<i32>::RING.rounded_div(7, &2));
/// assert_eq!(-4, StaticRing::<i32>::RING.rounded_div(-7, &2));
/// assert_eq!(-4, StaticRing::<i32>::RING.rounded_div(7, &-2));
/// assert_eq!(4, StaticRing::<i32>::RING.rounded_div(-7, &-2));
/// ```
///
fn rounded_div(&self, lhs: Self::Element, rhs: &Self::Element) -> Self::Element {
let mut rhs_half = self.abs(self.clone_el(rhs));
self.euclidean_div_pow_2(&mut rhs_half, 1);
if self.is_neg(&lhs) {
return self.euclidean_div(self.sub(lhs, rhs_half), rhs);
} else {
return self.euclidean_div(self.add(lhs, rhs_half), rhs);
}
}
///
/// Returns the value `2^power` in this integer ring.
///
fn power_of_two(&self, power: usize) -> Self::Element {
let mut result = self.one();
self.mul_pow_2(&mut result, power);
return result;
}
///
/// Returns `n` such that this ring can represent at least `[-2^n, ..., 2^n - 1]`.
/// Returning `None` means that the size of representable integers is unbounded.
///
fn representable_bits(&self) -> Option<usize>;
}
impl<I, J> CanHomFrom<I> for J
where I: ?Sized + IntegerRing, J: ?Sized + IntegerRing
{
type Homomorphism = ();
fn has_canonical_hom(&self, _: &I) -> Option<Self::Homomorphism> {
Some(())
}
fn map_in(&self, from: &I, el: <I as RingBase>::Element, _: &Self::Homomorphism) -> Self::Element {
int_cast(el, &RingRef::new(self), &RingRef::new(from))
}
default fn map_in_ref(&self, from: &I, el: &<I as RingBase>::Element, hom: &Self::Homomorphism) -> Self::Element {
<J as CanHomFrom<I>>::map_in(self, from, from.clone_el(el), hom)
}
}
impl<I, J> CanIsoFromTo<I> for J
where I: ?Sized + IntegerRing, J: ?Sized + IntegerRing
{
type Isomorphism = ();
fn has_canonical_iso(&self, _: &I) -> Option<Self::Isomorphism> {
Some(())
}
fn map_out(&self, from: &I, el: Self::Element, _: &Self::Isomorphism) -> <I as RingBase>::Element {
int_cast(el, &RingRef::new(from), &RingRef::new(self))
}
}
///
/// Helper trait to simplify conversion between ints.
///
/// More concretely, `IntCast` defines a conversion between two
/// integer rings, and is default-implemented for all integer rings
/// using a double-and-and technique. All implementors of integer
/// rings are encouraged to provide specializations for improved performance.
///
/// # Why yet another conversion trait?
///
/// It is a common requirement to convert between arbitrary (i.e. generic)
/// integer rings. To achieve this, we require a blanket implementation
/// anyway.
///
/// Now it would be possible to just provide a blanket implementation of
/// [`CanHomFrom`] and specialize it for all integer rings. However, it turned
/// out that in all implementations, the homomorphism requires no additional
/// data and always exists. Hence, it seemed easier to add another, simpler
/// trait for the same thing.
///
pub trait IntCast<F: ?Sized + IntegerRing>: IntegerRing {
fn cast(&self, from: &F, value: F::Element) -> Self::Element;
}
impl<F: ?Sized + IntegerRing, T: ?Sized + IntegerRing> IntCast<F> for T {
default fn cast(&self, from: &F, value: F::Element) -> Self::Element {
let result = algorithms::sqr_mul::generic_abs_square_and_multiply(self.one(), &value, RingRef::new(from), |a| self.add_ref(&a, &a), |a, b| self.add_ref_fst(a, b), self.zero());
if from.is_neg(&value) {
return self.negate(result);
} else {
return result;
}
}
}
pub fn int_cast<T: IntegerRingStore, F: IntegerRingStore>(value: El<F>, to: T, from: F) -> El<T>
where T::Type: IntegerRing, F::Type: IntegerRing
{
<T::Type as IntCast<F::Type>>::cast(to.get_ring(), from.get_ring(), value)
}
///
/// Trait for [`RingStore`]s that store [`IntegerRing`]s. Mainly used
/// to provide a convenient interface to the `IntegerRing`-functions.
///
pub trait IntegerRingStore: RingStore
where Self::Type: IntegerRing
{
delegate!{ IntegerRing, fn to_float_approx(&self, value: &El<Self>) -> f64 }
delegate!{ IntegerRing, fn from_float_approx(&self, value: f64) -> Option<El<Self>> }
delegate!{ IntegerRing, fn abs_is_bit_set(&self, value: &El<Self>, i: usize) -> bool }
delegate!{ IntegerRing, fn abs_highest_set_bit(&self, value: &El<Self>) -> Option<usize> }
delegate!{ IntegerRing, fn abs_lowest_set_bit(&self, value: &El<Self>) -> Option<usize> }
delegate!{ IntegerRing, fn euclidean_div_pow_2(&self, value: &mut El<Self>, power: usize) -> () }
delegate!{ IntegerRing, fn mul_pow_2(&self, value: &mut El<Self>, power: usize) -> () }
delegate!{ IntegerRing, fn power_of_two(&self, power: usize) -> El<Self> }
delegate!{ IntegerRing, fn rounded_div(&self, lhs: El<Self>, rhs: &El<Self>) -> El<Self> }
fn get_uniformly_random<G: FnMut() -> u64>(&self, bound_exclusive: &El<Self>, mut rng: G) -> El<Self> {
assert!(self.is_gt(bound_exclusive, &self.zero()));
let log2_ceil_bound = self.abs_highest_set_bit(bound_exclusive).unwrap() + 1;
let mut result = self.get_ring().get_uniformly_random_bits(log2_ceil_bound, || rng());
while self.is_geq(&result, bound_exclusive) {
result = self.get_ring().get_uniformly_random_bits(log2_ceil_bound, || rng());
}
return result;
}
fn abs_log2_floor(&self, value: &El<Self>) -> Option<usize> {
self.abs_highest_set_bit(value)
}
fn abs_log2_ceil(&self, value: &El<Self>) -> Option<usize> {
let highest_bit = self.abs_highest_set_bit(value)?;
if self.abs_lowest_set_bit(value).unwrap() == highest_bit {
return Some(highest_bit);
} else {
return Some(highest_bit + 1);
}
}
fn is_even(&self, value: &El<Self>) -> bool {
!self.abs_is_bit_set(value, 0)
}
fn is_odd(&self, value: &El<Self>) -> bool {
!self.is_even(value)
}
fn half_exact(&self, mut value: El<Self>) -> El<Self> {
assert!(self.is_even(&value));
self.euclidean_div_pow_2(&mut value, 1);
return value;
}
}
impl<R> IntegerRingStore for R
where R: RingStore,
R::Type: IntegerRing
{}
#[cfg(test)]
use crate::primitive_int::*;
#[cfg(any(test, feature = "generic_tests"))]
pub mod generic_tests {
use crate::ring::El;
use super::*;
pub fn test_integer_get_uniformly_random<R: IntegerRingStore>(ring: R)
where R::Type: IntegerRing
{
for b in [15, 16] {
let bound = ring.int_hom().map(b);
let mut rng = oorandom::Rand64::new(0);
let elements: Vec<El<R>> = (0..1000).map(|_| ring.get_uniformly_random(&bound, || rng.rand_u64())).collect();
for i in 0..b {
assert!(elements.iter().any(|x| ring.eq_el(x, &ring.int_hom().map(i))))
}
for x in &elements {
assert!(ring.is_lt(x, &bound));
}
}
}
pub fn test_integer_axioms<R: IntegerRingStore, I: Iterator<Item = El<R>>>(ring: R, edge_case_elements: I)
where R::Type: IntegerRing
{
let elements = edge_case_elements.collect::<Vec<_>>();
// test abs_highest_set_bit on standard values
assert_eq!(None, ring.abs_highest_set_bit(&ring.int_hom().map(0)));
assert_eq!(Some(0), ring.abs_highest_set_bit(&ring.int_hom().map(1)));
assert_eq!(Some(1), ring.abs_highest_set_bit(&ring.int_hom().map(2)));
// generic test of mul_pow_2 resp. euclidean_div_pow_2
for a in &elements {
let mut ceil_pow_2 = ring.int_hom().map(2);
ring.mul_pow_2(&mut ceil_pow_2, ring.abs_highest_set_bit(a).unwrap_or(0));
assert!(ring.is_lt(a, &ceil_pow_2));
assert!(ring.is_lt(&ring.negate(ring.clone_el(a)), &ceil_pow_2));
for i in 0..ring.abs_highest_set_bit(a).unwrap_or(0) {
let mut pow_2 = ring.one();
ring.mul_pow_2(&mut pow_2, i);
let mut b = ring.clone_el(a);
ring.mul_pow_2(&mut b, i);
assert_el_eq!(ring, b, ring.mul(ring.clone_el(a), ring.clone_el(&pow_2)));
ring.euclidean_div_pow_2(&mut b, i);
assert_el_eq!(ring, b, a);
ring.euclidean_div_pow_2(&mut b, i);
assert_el_eq!(ring, b, ring.euclidean_div(ring.clone_el(a), &pow_2));
}
}
// test euclidean div round to zero
let d = ring.int_hom().map(8);
for k in -10..=10 {
let mut a = ring.int_hom().map(k);
assert_el_eq!(ring, ring.int_hom().map(k / 8), ring.euclidean_div(ring.clone_el(&a), &d));
ring.euclidean_div_pow_2(&mut a, 3);
assert_el_eq!(ring, ring.int_hom().map(k / 8), a);
}
let d = ring.int_hom().map(-8);
for k in -10..=10 {
let a = ring.int_hom().map(k);
assert_el_eq!(ring, ring.int_hom().map(k / -8), ring.euclidean_div(ring.clone_el(&a), &d));
}
// test rounded_div
assert_el_eq!(ring, ring.int_hom().map(2), ring.rounded_div(ring.int_hom().map(7), &ring.int_hom().map(3)));
assert_el_eq!(ring, ring.int_hom().map(-2), ring.rounded_div(ring.int_hom().map(-7), &ring.int_hom().map(3)));
assert_el_eq!(ring, ring.int_hom().map(-2), ring.rounded_div(ring.int_hom().map(7), &ring.int_hom().map(-3)));
assert_el_eq!(ring, ring.int_hom().map(2), ring.rounded_div(ring.int_hom().map(-7), &ring.int_hom().map(-3)));
assert_el_eq!(ring, ring.int_hom().map(3), ring.rounded_div(ring.int_hom().map(8), &ring.int_hom().map(3)));
assert_el_eq!(ring, ring.int_hom().map(-3), ring.rounded_div(ring.int_hom().map(-8), &ring.int_hom().map(3)));
assert_el_eq!(ring, ring.int_hom().map(-3), ring.rounded_div(ring.int_hom().map(8), &ring.int_hom().map(-3)));
assert_el_eq!(ring, ring.int_hom().map(3), ring.rounded_div(ring.int_hom().map(-8), &ring.int_hom().map(-3)));
assert_el_eq!(ring, ring.int_hom().map(4), ring.rounded_div(ring.int_hom().map(7), &ring.int_hom().map(2)));
assert_el_eq!(ring, ring.int_hom().map(-4), ring.rounded_div(ring.int_hom().map(-7), &ring.int_hom().map(2)));
assert_el_eq!(ring, ring.int_hom().map(-4), ring.rounded_div(ring.int_hom().map(7), &ring.int_hom().map(-2)));
assert_el_eq!(ring, ring.int_hom().map(4), ring.rounded_div(ring.int_hom().map(-7), &ring.int_hom().map(-2)));
}
}
#[test]
fn test_int_div_assumption() {
assert_eq!(-1, -10 / 8);
assert_eq!(-1, 10 / -8);
assert_eq!(1, 10 / 8);
assert_eq!(1, -10 / -8);
}
#[test]
fn test_rounded_div() {
let ZZ = StaticRing::<i32>::RING;
assert_el_eq!(ZZ, 3, ZZ.rounded_div(20, &7));
assert_el_eq!(ZZ, -3, ZZ.rounded_div(-20, &7));
assert_el_eq!(ZZ, -3, ZZ.rounded_div(20, &-7));
assert_el_eq!(ZZ, 3, ZZ.rounded_div(-20, &-7));
assert_el_eq!(ZZ, 3, ZZ.rounded_div(22, &7));
assert_el_eq!(ZZ, -3, ZZ.rounded_div(-22, &7));
assert_el_eq!(ZZ, -3, ZZ.rounded_div(22, &-7));
assert_el_eq!(ZZ, 3, ZZ.rounded_div(-22, &-7));
}