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// Copyright © 2023 Marvin Beckmann
//
// This file is part of qFALL-math.
//
// qFALL-math is free software: you can redistribute it and/or modify it under
// the terms of the Mozilla Public License Version 2.0 as published by the
// Mozilla Foundation. See <https://mozilla.org/en-US/MPL/2.0/>.
//! This module includes functionality for rounding instances of [`Q`].
use super::Q;
use crate::{error::MathError, integer::Z, traits::Distance};
use flint_sys::{
fmpq::{fmpq_sgn, fmpq_simplest_between},
fmpz::{fmpz_cdiv_q, fmpz_fdiv_q},
};
impl Q {
/// Rounds the given rational [`Q`] down to the next integer [`Z`].
///
/// # Examples
/// ```
/// use qfall_math::rational::Q;
/// use qfall_math::integer::Z;
///
/// let value = Q::from((5, 2));
/// assert_eq!(Z::from(2), value.floor());
///
/// let value = Q::from((-5, 2));
/// assert_eq!(Z::from(-3), value.floor());
///
/// let value = Q::from(2);
/// assert_eq!(Z::from(2), value.floor());
/// ```
pub fn floor(&self) -> Z {
let mut out = Z::default();
unsafe { fmpz_fdiv_q(&mut out.value, &self.value.num, &self.value.den) };
out
}
/// Rounds the given rational [`Q`] up to the next integer [`Z`].
///
/// # Examples
/// ```
/// use qfall_math::rational::Q;
/// use qfall_math::integer::Z;
///
/// let value = Q::from((5, 2));
/// assert_eq!(Z::from(3), value.ceil());
///
/// let value = Q::from((-5, 2));
/// assert_eq!(Z::from(-2), value.ceil());
///
/// let value = Q::from(2);
/// assert_eq!(Z::from(2), value.ceil());
/// ```
pub fn ceil(&self) -> Z {
let mut out = Z::default();
unsafe { fmpz_cdiv_q(&mut out.value, &self.value.num, &self.value.den) };
out
}
/// Rounds the given rational [`Q`] to the closest integer [`Z`].
/// If the distance is equal, it rounds up.
///
/// # Examples
/// ```
/// use qfall_math::rational::Q;
/// use qfall_math::integer::Z;
///
/// let value = Q::from((5, 2));
/// assert_eq!(Z::from(3), value.round());
///
/// let value = Q::from((-5, 2));
/// assert_eq!(Z::from(-2), value.round());
///
/// let value = Q::from(2);
/// assert_eq!(Z::from(2), value.round());
/// ```
pub fn round(&self) -> Z {
if Q::from(self.floor()).distance(self) < Q::from(0.5) {
self.floor()
} else {
self.ceil()
}
}
/// Returns the smallest rational with the smallest denominator in the range
/// `\[self - |precision|, self + |precision|\]`.
///
/// This function allows to free memory in exchange for the specified loss of
/// precision (see Example 3). Be aware that this loss of precision is propagated by
/// arithmetic operations and can be significantly increased depending on the
/// performed operations.
///
/// This function ensures that simplifying does not change the sign of `self`.
///
/// Parameters:
/// - `precision`: the precision the new value can differ from `self`.
/// Note that the absolute value is relevant, not the sign.
///
/// Returns the simplest [`Q`] within the defined range.
///
/// # Examples
/// ```
/// use qfall_math::rational::Q;
///
/// let value = Q::from((17, 20));
/// let precision = Q::from((1, 20));
///
/// let simplified = Q::from((4, 5));
/// assert_eq!(simplified, value.simplify(&precision));
/// ```
///
/// ```
/// use qfall_math::rational::Q;
///
/// let value = Q::from((3, 2));
///
/// assert_eq!(Q::ONE, value.simplify(0.5));
/// ```
///
/// ## Simplify with reasonable precision loss
/// This example uses [`Q::INV_MAX32`], i.e. a loss of precision of at most `1 / 2^31 - 2` behind the decimal point.
/// If you require higher precision, [`Q::INV_MAX62`] is available.
/// ```
/// use qfall_math::rational::Q;
/// let value = Q::PI;
///
/// let simplified = value.simplify(Q::INV_MAX32);
///
/// assert_ne!(&Q::PI, &simplified);
/// assert!(&simplified >= &(Q::PI - Q::INV_MAX32));
/// assert!(&simplified <= &(Q::PI + Q::INV_MAX32));
/// ```
pub fn simplify(&self, precision: impl Into<Q>) -> Self {
let precision = precision.into();
let lower = self - &precision;
let upper = self + &precision;
let mut out = Q::default();
unsafe { fmpq_simplest_between(&mut out.value, &lower.value, &upper.value) };
if unsafe { fmpq_sgn(&self.value) != fmpq_sgn(&out.value) } {
return Q::MINUS_ONE * out;
}
out
}
/// Performs the randomized rounding algorithm
/// by sampling from a discrete Gaussian over the integers shifted
/// by `self` with gaussian parameter `r`.
///
/// Parameters:
/// - `r`: specifies the Gaussian parameter, which is proportional
/// to the standard deviation `sigma * sqrt(2 * pi) = r`
///
/// Returns the rounded value as an [`Z`] or an error if `r < 0`.
///
/// # Examples
/// ```
/// use qfall_math::rational::Q;
///
/// let value = Q::from((5, 2));
/// let rounded = value.randomized_rounding(3).unwrap();
/// ```
///
/// # Errors and Failures
/// - Returns a [`MathError`] of type [`InvalidIntegerInput`](MathError::InvalidIntegerInput)
/// if `r < 0`.
///
/// This function implements randomized rounding according to:
/// - Peikert, C. (2010, August).
/// An efficient and parallel Gaussian sampler for lattices.
/// In: Annual Cryptology Conference (pp. 80-97).
/// <https://link.springer.com/chapter/10.1007/978-3-642-14623-7_5>
pub fn randomized_rounding(&self, r: impl Into<Q>) -> Result<Z, MathError> {
Z::sample_discrete_gauss(self, r)
}
}
#[cfg(test)]
mod test_floor {
use crate::{integer::Z, rational::Q};
// Ensure that positive rationals are rounded correctly
#[test]
fn positive() {
let val_1 = Q::from((i64::MAX, 2));
let val_2 = Q::from((1, u64::MAX));
assert_eq!(Z::from((i64::MAX - 1) / 2), val_1.floor());
assert_eq!(Z::ZERO, val_2.floor());
}
// Ensure that negative rationals are rounded correctly
#[test]
fn negative() {
let val_1 = Q::from((-i64::MAX, 2));
let val_2 = Q::from((-1, u64::MAX));
assert_eq!(Z::from((-i64::MAX - 1) / 2), val_1.floor());
assert_eq!(Z::MINUS_ONE, val_2.floor());
}
}
#[cfg(test)]
mod test_ceil {
use crate::{integer::Z, rational::Q};
// Ensure that positive rationals are rounded correctly
#[test]
fn positive() {
let val_1 = Q::from((i64::MAX, 2));
let val_2 = Q::from((1, u64::MAX));
assert_eq!(Z::from((i64::MAX - 1) / 2 + 1), val_1.ceil());
assert_eq!(Z::ONE, val_2.ceil());
}
// Ensure that negative rationals are rounded correctly
#[test]
fn negative() {
let val_1 = Q::from((-i64::MAX, 2));
let val_2 = Q::from((-1, u64::MAX));
assert_eq!(Z::from((-i64::MAX - 1) / 2 + 1), val_1.ceil());
assert_eq!(Z::ZERO, val_2.ceil());
}
}
#[cfg(test)]
mod test_round {
use crate::{integer::Z, rational::Q};
// Ensure that positive rationals are rounded correctly
#[test]
fn positive() {
let val_1 = Q::from((i64::MAX, 2));
let val_2 = Q::from((1, u64::MAX));
assert_eq!(Z::from((i64::MAX - 1) / 2 + 1), val_1.round());
assert_eq!(Z::ZERO, val_2.round());
}
// Ensure that negative rationals are rounded correctly
#[test]
fn negative() {
let val_1 = Q::from((-i64::MAX, 2));
let val_2 = Q::from((-1, u64::MAX));
assert_eq!(Z::from((-i64::MAX - 1) / 2 + 1), val_1.round());
assert_eq!(Z::ZERO, val_2.round());
}
}
#[cfg(test)]
mod test_simplify {
use crate::{integer::Z, rational::Q, traits::Distance};
/// Ensure that negative precision works as expected
#[test]
fn precision_absolute_value() {
let value_1 = Q::from((17, 20));
let value_2 = Q::from((-17, 20));
let precision = Q::from((-1, 20));
let simplified_1 = Q::from((4, 5));
let simplified_2 = Q::from((-4, 5));
assert_eq!(simplified_1, value_1.simplify(&precision));
assert_eq!(simplified_2, value_2.simplify(precision));
}
/// Ensure that large values with pointer representations are reduced
#[test]
fn large_pointer_representation() {
let value = Q::from((u64::MAX - 1, u64::MAX));
let precision = Q::from((1, u64::MAX));
assert_eq!(Q::ONE, value.simplify(&precision));
}
/// Ensure that the simplified value stays in range
#[test]
fn stay_in_precision() {
let value = Q::from((i64::MAX - 1, i64::MAX));
let precision = Q::from((1, u64::MAX - 1));
let simplified = value.simplify(&precision);
assert!(&value - &precision <= simplified && simplified <= &value + &precision);
assert!(Q::from((i64::MAX - 2, i64::MAX)) <= simplified && simplified <= 1);
}
/// Ensure max_bits of denominator are not bigger than 1/2 * precision
#[test]
fn max_bits_denominator() {
let value = Q::PI;
let precisions = [Q::INV_MAX8, Q::INV_MAX16, Q::INV_MAX32];
for precision in precisions {
let inv_precision = precision.get_denominator();
let inv_precision = inv_precision.div_ceil(2);
let simplified = value.simplify(&precision);
let denominator = simplified.get_denominator();
assert!(denominator.distance(Z::ZERO) < inv_precision);
}
}
/// Ensure that a value which can not be simplified is not changed
#[test]
fn no_change() {
let precision = Q::from((1, u64::MAX - 1));
assert_eq!(Q::ONE, Q::ONE.simplify(&precision));
assert_eq!(Q::MINUS_ONE, Q::MINUS_ONE.simplify(&precision));
assert_eq!(Q::ZERO, Q::ZERO.simplify(precision));
}
/// Ensure that no sign change can occurr.
#[test]
fn no_change_of_sign() {
assert!(Q::ZERO < Q::ONE.simplify(2));
assert!(Q::ZERO > Q::MINUS_ONE.simplify(2));
}
}
#[cfg(test)]
mod test_randomized_rounding {
use crate::rational::Q;
/// Ensure that a `r < 0` throws an error
#[test]
fn negative_r() {
let value = Q::from((2, 3));
assert!(value.randomized_rounding(-1).is_err());
}
}