deep lll

src/deep_lll.rs

@@ -0,0 +1,151 @@
+use crate::matrix::Matrix;
+use rug::{Integer, Rational};
+
+/// Perform DeepLLL reduction on a given lattice basis represented by Matrix.
+/// 1/4 < delta < 1.
+pub fn deep_lll(mut mat: Matrix, delta: Rational) -> Option<Matrix> {
+    let n = mat.n;
+    let (mut mu, mut b_star_sq) = gramm_schmidt(&mat);
+    let mut k = 2;
+
+    while k <= n {
+        size_reduce(&mut mat, &mut mu, &mut b_star_sq, k);
+        let mut c = norm_sq(&mat, k);
+        let mut i = 1;
+        while i < k {
+            if c >= delta.clone() * b_star_sq[i - 1].clone() {
+                let mu_ki = mu[k - 1][i - 1].clone();
+                c -= mu_ki.clone() * mu_ki * b_star_sq[i - 1].clone();
+                i += 1;
+            } else {
+                deep_insert(&mut mat, i, k);
+                let (new_mu, new_bs) = gramm_schmidt(&mat);
+                mu = new_mu;
+                b_star_sq = new_bs;
+                k = if i > 2 { i } else { 2 } - 1;
+                break;
+            }
+        }
+
+        k += 1;
+    }
+
+    Some(mat)
+}
+
+/// Compute Gram–Schmidt coefficients and squared norms of orthogonal vectors b*_i as Rationals.
+fn gramm_schmidt(mat: &Matrix) -> (Vec<Vec<Rational>>, Vec<Rational>) {
+    let n = mat.n;
+    let m = mat.m;
+    let mut mu = vec![vec![Rational::from((0, 1)); n]; n];
+    let mut b_star = vec![vec![Rational::from((0, 1)); m]; n];
+    let mut b_star_sq = vec![Rational::from((0, 1)); n];
+
+    for i in 0..n {
+        for j in 0..m {
+            b_star[i][j] = Rational::from(mat[(i, j)].clone());
+        }
+        for j in 0..i {
+            let mut numer = Rational::from((0, 1));
+            for k in 0..m {
+                let prod = b_star[j][k].clone() * Rational::from(mat[(i, k)].clone());
+                numer += prod;
+            }
+            mu[i][j] = numer.clone() / b_star_sq[j].clone();
+            for k in 0..m {
+                let tmp = mu[i][j].clone() * b_star[j][k].clone();
+                b_star[i][k] -= tmp;
+            }
+        }
+        let mut sum = Rational::from((0, 1));
+        for k in 0..m {
+            let sq = b_star[i][k].clone() * b_star[i][k].clone();
+            sum += sq;
+        }
+        b_star_sq[i] = sum;
+    }
+
+    (mu, b_star_sq)
+}
+
+/// Size-reduce column k in-place
+fn size_reduce(mat: &mut Matrix, mu: &mut [Vec<Rational>], b_star_sq: &mut [Rational], k: usize) {
+    let mut updated = true;
+    while updated {
+        updated = false;
+        for j in (1..k).rev() {
+            let mu_kj = mu[k - 1][j - 1].clone();
+            let q = mu_kj.round();
+            if q != 0 {
+                for row in 0..mat.n {
+                    let t = mat[(k - 1, row)].clone();
+                    let prod = &mat[(j - 1, row)] * q.clone();
+                    mat[(k - 1, row)] = (t - prod).round_ref().into();
+                }
+                updated = true;
+            }
+        }
+        if updated {
+            let (new_mu, new_bs) = gramm_schmidt(mat);
+            mu.clone_from_slice(&new_mu);
+            b_star_sq.clone_from_slice(&new_bs);
+        }
+    }
+}
+
+/// Deep insertion: move column k into position i (1-based), shifting intermediate columns right.
+fn deep_insert(mat: &mut Matrix, i: usize, k: usize) {
+    let col = mat.columns.remove(k - 1);
+    mat.columns.insert(i - 1, col);
+}
+
+/// Compute squared Euclidean norm of column k as a Rational.
+fn norm_sq(mat: &Matrix, k: usize) -> Rational {
+    let mut sum = Rational::from((0, 1));
+    for row in 0..mat.n {
+        let v = mat[(k - 1, row)].clone();
+        sum += Rational::from(v.clone() * v);
+    }
+    sum
+}
+
+#[cfg(test)]
+mod deep_lll_tests {
+    use super::*;
+    use rug::{Integer, Rational};
+    #[test]
+    fn test_identity_basis() {
+        let values = vec![
+            Integer::from(1),
+            Integer::from(0),
+            Integer::from(0),
+            Integer::from(1),
+        ];
+        let mat = Matrix::new(2, 2, values.clone()).unwrap();
+        let delta = Rational::from((3, 4));
+        let reduced = deep_lll(mat.clone(), delta).unwrap();
+        for col in 0..2 {
+            for row in 0..2 {
+                assert_eq!(mat[(col, row)], reduced[(col, row)]);
+            }
+        }
+    }
+
+    #[test]
+    fn test_determinant_preservation() {
+        let values = vec![
+            Integer::from(4),
+            Integer::from(1),
+            Integer::from(1),
+            Integer::from(3),
+        ];
+        let mat = Matrix::new(2, 2, values).unwrap();
+        let delta = Rational::from((51, 100));
+        let reduced = deep_lll(mat.clone(), delta).unwrap();
+        let det_orig =
+            mat[(0, 0)].clone() * mat[(1, 1)].clone() - mat[(1, 0)].clone() * mat[(0, 1)].clone();
+        let det_red = reduced[(0, 0)].clone() * reduced[(1, 1)].clone()
+            - reduced[(1, 0)].clone() * reduced[(0, 1)].clone();
+        assert_eq!(det_orig, det_red);
+    }
+}

src/main.rs

@@ -1,5 +1,6 @@
 mod agcd;
 mod bkz;
+mod deep_lll;
 mod file;
 mod lll;
 mod matrix;

src/matrix.rs

@@ -1,7 +1,7 @@
+use crate::vector::IntVector;
 use rug::ops::Pow;
 use rug::Integer;
 use std::ops::{Index, IndexMut};
-use crate::vector::IntVector;
 
 macro_rules! int {
     ($x:expr) => {
@@ -9,11 +9,11 @@ macro_rules! int {
     };
 }
 
-#[derive(Debug, PartialEq)]
+#[derive(Debug, PartialEq, Clone)]
 pub struct Matrix {
-    pub n: usize, // rows
-    pub m: usize, // columns
-    columns: Vec<IntVector>,
+    pub n: usize, // number of columns
+    pub m: usize, // number of rows
+    pub columns: Vec<IntVector>,
 }
 
 impl Matrix {
@@ -43,11 +43,11 @@ impl Matrix {
         }
 
         for i in 1..n {
-            for j in 0..n {
+            for (j, column) in columns.iter_mut().enumerate().take(n) {
                 if i == j {
-                    columns[j].push(ciphertexts[0].clone());
+                    column.push(ciphertexts[0].clone());
                 } else {
-                    columns[j].push(int!(0));
+                    column.push(int!(0));
                 }
             }
         }
@@ -118,10 +118,14 @@ mod tests {
         assert_eq!(m2[(0, 2)], int!(3));
         assert_eq!(m2[(1, 0)], int!(4));
 
-        let result = panic::catch_unwind(|| { let _ = m2[(2, 0)]; });
+        let result = panic::catch_unwind(|| {
+            let _ = m2[(2, 0)];
+        });
         assert!(result.is_err(), "Expected panic on m2[(2, 0)]");
 
-        let result2 = panic::catch_unwind(|| { let _ = m2[(0, 3)]; });
+        let result2 = panic::catch_unwind(|| {
+            let _ = m2[(0, 3)];
+        });
         assert!(result2.is_err(), "Expected panic on m2[(0, 3)]");
     }
 
@@ -138,9 +142,15 @@ mod tests {
         // 2nd column = [ciphertexts[1], ciphertexts[0], 0] = [8,5,0]
         // 3rd column = [ciphertexts[2], 0, ciphertexts[0]] = [12,0,5]
         let expected_flat = vec![
-            int!(8), int!(8), int!(12),
-            int!(0), int!(5), int!(0),
-            int!(0), int!(0), int!(5),
+            int!(8),
+            int!(8),
+            int!(12),
+            int!(0),
+            int!(5),
+            int!(0),
+            int!(0),
+            int!(0),
+            int!(5),
         ];
 
         let mut actual_flat = Vec::with_capacity(9);
@@ -153,4 +163,3 @@ mod tests {
         assert_eq!(actual_flat, expected_flat);
     }
 }
-