dashu-int 0.4.3

A big integer library with good performance
Documentation
//! Montgomery multiplication and squaring.

use crate::{
    add,
    arch::word::Word,
    buffer::Buffer,
    cmp,
    error::panic_different_rings,
    helper_macros::{forward_modular_binop_to_assign, impl_modular_commutative_op_for_ref},
    memory::{self, Memory, MemoryAllocation},
    mul,
    primitive::{double_word, extend_word, locate_top_word_plus_one, split_dword},
    sqr,
};
use alloc::alloc::Layout;
use core::ops::{Mul, MulAssign};
use num_modular::Reducer;

use super::repr::{Montgomery, MontgomeryInner, MontgomeryLargeRepr, MontgomeryLargeVal};

forward_modular_binop_to_assign!(impl Mul, mul, MulAssign, mul_assign for Montgomery);
impl_modular_commutative_op_for_ref!(impl Mul, mul for Montgomery);

impl<'a> Mul<&Montgomery<'a>> for &Montgomery<'a> {
    type Output = Montgomery<'a>;

    #[inline]
    fn mul(self, rhs: &Montgomery<'a>) -> Montgomery<'a> {
        // For Large operands, build the result directly from scratch instead of
        // cloning self then overwriting every word via mul_in_place_large.
        // Single/Double are Copy — the clone path is zero-cost for them.
        match (self.repr(), rhs.repr()) {
            (MontgomeryInner::Large(raw0, ring), MontgomeryInner::Large(raw1, ring1)) => {
                Montgomery::check_same_ring_large(ring, ring1);
                let memory_requirement = mul_memory_requirement(ring);
                let mut allocation = MemoryAllocation::new(memory_requirement);
                let mut memory = allocation.memory();
                // If lhs and rhs are the same allocation, use the fast squaring path.
                let prod = if raw0.0.as_ptr() == raw1.0.as_ptr() {
                    sqr_normalized_large(ring, &raw0.0, &mut memory)
                } else {
                    mul_normalized_large(ring, &raw0.0, &raw1.0, &mut memory)
                };
                Montgomery::from_large(
                    MontgomeryLargeVal(Buffer::from(prod).into_boxed_slice()),
                    ring,
                )
            }
            _ => self.clone().mul(rhs),
        }
    }
}

impl<'a> MulAssign<&Montgomery<'a>> for Montgomery<'a> {
    #[inline]
    fn mul_assign(&mut self, rhs: &Montgomery<'a>) {
        match (self.repr_mut(), rhs.repr()) {
            (MontgomeryInner::Single(raw0, ring), MontgomeryInner::Single(raw1, ring1)) => {
                Montgomery::check_same_ring_single(ring, ring1);
                ring.0.mul_in_place(raw0, raw1);
            }
            (MontgomeryInner::Double(raw0, ring), MontgomeryInner::Double(raw1, ring1)) => {
                Montgomery::check_same_ring_double(ring, ring1);
                ring.0.mul_in_place(raw0, raw1);
            }
            (MontgomeryInner::Large(raw0, ring), MontgomeryInner::Large(raw1, ring1)) => {
                Montgomery::check_same_ring_large(ring, ring1);
                let memory_requirement = mul_memory_requirement(ring);
                let mut allocation = MemoryAllocation::new(memory_requirement);
                mul_in_place_large(ring, raw0, raw1, &mut allocation.memory());
            }
            _ => panic_different_rings(),
        }
    }
}

impl<'a> Montgomery<'a> {
    /// Calculate target^2 mod m in Montgomery form.
    ///
    /// # Examples
    ///
    /// ```
    /// # use dashu_int::{monty::MontgomeryRepr, UBig};
    /// let ring = MontgomeryRepr::new(UBig::from(0x1234_5679u32));
    /// let a = ring.reduce(4000u32);
    /// assert_eq!(a.sqr(), ring.reduce(4000u32 * 4000u32));
    /// ```
    pub fn sqr(&self) -> Self {
        match self.repr() {
            MontgomeryInner::Single(raw, ring) => Montgomery::from_single(ring.0.sqr(*raw), ring),
            MontgomeryInner::Double(raw, ring) => Montgomery::from_double(ring.0.sqr(*raw), ring),
            MontgomeryInner::Large(raw, ring) => {
                let memory_requirement = mul_memory_requirement(ring);
                let mut allocation = MemoryAllocation::new(memory_requirement);
                let mut memory = allocation.memory();
                let prod = sqr_normalized_large(ring, &raw.0, &mut memory);
                Montgomery::from_large(
                    MontgomeryLargeVal(Buffer::from(prod).into_boxed_slice()),
                    ring,
                )
            }
        }
    }
}

/// Temporary scratch space required for Montgomery multiplication on a large ring.
pub(crate) fn mul_memory_requirement(ring: &MontgomeryLargeRepr) -> Layout {
    let s = ring.modulus.len();
    memory::add_layout(
        // Product buffer: 2s words for a*b plus one word for the REDC carry.
        memory::array_layout::<Word>(2 * s + 1),
        // Scratch reused by the `a*b` multiply and the `a^2` squaring (REDC itself is in place).
        memory::max_layout(
            mul::memory_requirement_exact(2 * s, s),
            sqr::memory_requirement_exact(s),
        ),
    )
}

/// Montgomery reduction (REDC) of a `(2s+1)`-word buffer `t` in place.
///
/// Uses the double-word constant `n0_dword = -m^{-1} mod 2^(2*WORD_BITS)`: each iteration takes the
/// low double word `t[i..i+2]`, forms `q = t[i..i+2] * n0_dword mod 2^(2*WORD_BITS)`, and adds
/// `q * modulus` at position `i` via the addmul_2 kernel — which clears two words at once. After
/// `s` words are cleared, `t[0..s]` is zero and the result — lying in `[0, 2m)` — occupies
/// `t[s..2s+1]`. (When `s` is odd the final lone word is handled with the single-word path.)
///
/// This variant is fastest on dense inputs (the full `a*b` product).
pub(crate) fn redc_in_place(t: &mut [Word], ring: &MontgomeryLargeRepr) {
    let s = ring.modulus.len();
    let n0_dword = ring.n0_dword;
    let n0 = ring.n0_word();
    let modulus = &ring.modulus;
    debug_assert_eq!(t.len(), 2 * s + 1);

    let mut i = 0;
    // Two words per iteration via the addmul_2 kernel (clears words i and i+1).
    while i + 1 < s {
        let ti = double_word(t[i], t[i + 1]);
        let q = ti.wrapping_mul(n0_dword);
        let (q0, q1) = split_dword(q);
        let (carry_lo, carry_hi) =
            mul::add_mul_dword_same_len_in_place(&mut t[i..i + s], modulus, q0, q1);
        let overflow = add::add_dword_in_place(&mut t[i + s..], double_word(carry_lo, carry_hi));
        debug_assert!(!overflow);
        debug_assert_eq!(t[i], 0);
        debug_assert_eq!(t[i + 1], 0);
        i += 2;
    }
    // Handle the last word when the modulus has an odd word count.
    if i < s {
        let q = t[i].wrapping_mul(n0);
        let carry = mul::add_mul_word_same_len_in_place(&mut t[i..i + s], q, modulus);
        let overflow = add::add_word_in_place(&mut t[i + s..], carry);
        debug_assert!(!overflow);
        debug_assert_eq!(t[i], 0);
    }
}

/// Single-word Montgomery reduction (one word per iteration). Used for the exit path
/// ([`residue_normalized_large`]), where the input buffer is sparse (`[a, 0, …, 0]`) and this
/// variant measures noticeably faster than the double-word [`redc_in_place`].
pub(crate) fn redc_single_in_place(t: &mut [Word], ring: &MontgomeryLargeRepr) {
    let s = ring.modulus.len();
    let n0 = ring.n0_word();
    let modulus = &ring.modulus;
    debug_assert_eq!(t.len(), 2 * s + 1);

    for i in 0..s {
        let q = t[i].wrapping_mul(n0);
        let carry = mul::add_mul_word_same_len_in_place(&mut t[i..i + s], q, modulus);
        let overflow = add::add_word_in_place(&mut t[i + s..], carry);
        debug_assert!(!overflow);
        debug_assert_eq!(t[i], 0);
    }
}

/// Reduce the REDC output in `t[s..2s+1]` (value in `[0, 2m)`) down to the canonical `[0, m)`,
/// returning the `s`-word result slice `t[s..2s]`.
fn canonicalize<'a>(t: &'a mut [Word], ring: &MontgomeryLargeRepr) -> &'a [Word] {
    let s = ring.modulus.len();
    let modulus = &ring.modulus;
    // result >= m iff the top carry word are set, or the low s words exceed the modulus.
    if t[2 * s] != 0 || cmp::cmp_same_len(&t[s..2 * s], modulus).is_ge() {
        let borrow = add::sub_in_place(&mut t[s..2 * s + 1], modulus);
        debug_assert!(!borrow);
    }
    debug_assert_eq!(t[2 * s], 0);
    &t[s..2 * s]
}

/// REDC + canonicalize — the shared tail of `mul_normalized_large` and
/// `sqr_normalized_large`.
#[inline]
fn finish_monty_product<'a>(product: &'a mut [Word], ring: &MontgomeryLargeRepr) -> &'a [Word] {
    redc_in_place(product, ring);
    canonicalize(product, ring)
}

/// Returns `a * b` (Montgomery product) as an `s`-word slice allocated in `memory`.
pub(crate) fn mul_normalized_large<'a>(
    ring: &MontgomeryLargeRepr,
    a: &[Word],
    b: &[Word],
    memory: &'a mut Memory,
) -> &'a [Word] {
    let s = ring.modulus.len();
    debug_assert!(a.len() == s && b.len() == s);

    let na = locate_top_word_plus_one(a);
    let nb = locate_top_word_plus_one(b);

    // product = a * b (2s words + 1 carry word, zero-filled)
    let (product, mut memory) = memory.allocate_slice_fill::<Word>(2 * s + 1, 0);
    if na | nb == 0 {
        return &product[s..2 * s];
    } else if na == 1 && nb == 1 {
        let (lo, hi) = split_dword(extend_word(a[0]) * extend_word(b[0]));
        product[0] = lo;
        product[1] = hi;
    } else {
        mul::multiply(&mut product[..na + nb], &a[..na], &b[..nb], &mut memory);
    }

    finish_monty_product(product, ring)
}

/// Returns `a^2` (Montgomery square) as an `s`-word slice allocated in `memory`.
pub(crate) fn sqr_normalized_large<'a>(
    ring: &MontgomeryLargeRepr,
    a: &[Word],
    memory: &'a mut Memory,
) -> &'a [Word] {
    let s = ring.modulus.len();
    debug_assert!(a.len() == s);

    let na = locate_top_word_plus_one(a);

    // product = a * a
    let (product, mut memory) = memory.allocate_slice_fill::<Word>(2 * s + 1, 0);
    if na == 0 {
        return &product[s..2 * s];
    } else if na == 1 {
        let (lo, hi) = split_dword(extend_word(a[0]) * extend_word(a[0]));
        product[0] = lo;
        product[1] = hi;
    } else {
        sqr::sqr(&mut product[..2 * na], &a[..na], &mut memory);
    }

    finish_monty_product(product, ring)
}

/// Returns the plain residue `a * R^{-1} mod m` (i.e. exit Montgomery form) as an `s`-word
/// slice allocated in `memory`. Computed as `REDC(a)` with `a` placed in the low half of a
/// zero-filled buffer.
pub(crate) fn residue_normalized_large<'a>(
    ring: &MontgomeryLargeRepr,
    a: &[Word],
    memory: &'a mut Memory,
) -> &'a [Word] {
    let s = ring.modulus.len();
    debug_assert_eq!(a.len(), s);

    let (product, _memory) = memory.allocate_slice_fill::<Word>(2 * s + 1, 0);
    product[..s].copy_from_slice(a);

    // Sparse input: the single-word REDC measures faster here than the double-word one.
    redc_single_in_place(product, ring);
    canonicalize(product, ring)
}

/// The Montgomery form of 1, i.e. `R mod m`, derived on demand as `REDC(R^2 mod m)`.
pub(crate) fn one_large(ring: &MontgomeryLargeRepr) -> MontgomeryLargeVal {
    let memory_requirement = mul_memory_requirement(ring);
    let mut allocation = MemoryAllocation::new(memory_requirement);
    let mut memory = allocation.memory();
    let res = residue_normalized_large(ring, &ring.r2_mod_m, &mut memory);
    MontgomeryLargeVal(Buffer::from(res).into_boxed_slice())
}

/// lhs *= rhs
pub(crate) fn mul_in_place_large(
    ring: &MontgomeryLargeRepr,
    lhs: &mut MontgomeryLargeVal,
    rhs: &MontgomeryLargeVal,
    memory: &mut Memory,
) {
    // Pointer-identity check: when lhs and rhs are the same allocation (e.g.
    // `a *= a`), use the fast squaring path. Distinct-but-equal values are
    // rare in practice and are handled correctly (just slower) by the mul path.
    let prod = if lhs.0.as_ptr() == rhs.0.as_ptr() {
        sqr_normalized_large(ring, &lhs.0, memory)
    } else {
        mul_normalized_large(ring, &lhs.0, &rhs.0, memory)
    };
    lhs.0.copy_from_slice(prod);
}

/// raw = raw^2
pub(crate) fn sqr_in_place_large(
    ring: &MontgomeryLargeRepr,
    raw: &mut MontgomeryLargeVal,
    memory: &mut Memory,
) {
    let prod = sqr_normalized_large(ring, &raw.0, memory);
    raw.0.copy_from_slice(prod);
}