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https://github.com/arnaucube/poulpy.git
synced 2026-02-10 13:16:44 +01:00
Updated vec_znx_big doc
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@@ -19,7 +19,7 @@ impl<B: Backend> ZnxBase<B> for VecZnxBig<B> {
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assert!(cols > 0);
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assert!(cols > 0);
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assert!(size > 0);
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assert!(size > 0);
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}
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}
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let mut data: Vec<Self::Scalar> = alloc_aligned::<u8>(Self::bytes_of(module, cols, size));
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let mut data: Vec<Self::Scalar> = alloc_aligned(Self::bytes_of(module, cols, size));
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let ptr: *mut Self::Scalar = data.as_mut_ptr();
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let ptr: *mut Self::Scalar = data.as_mut_ptr();
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Self {
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Self {
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data: data,
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data: data,
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@@ -124,7 +124,7 @@ pub trait VecZnxBigOps<B: Backend> {
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/// # Arguments
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/// # Arguments
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///
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///
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/// * `cols`: the number of polynomials..
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/// * `cols`: the number of polynomials..
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/// * `size`: the number of size (a.k.a small polynomials) per polynomial.
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/// * `size`: the number of polynomials per column.
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/// * `bytes`: a byte array of size at least [Module::bytes_of_vec_znx_big].
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/// * `bytes`: a byte array of size at least [Module::bytes_of_vec_znx_big].
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///
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///
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/// # Panics
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/// # Panics
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@@ -138,7 +138,7 @@ pub trait VecZnxBigOps<B: Backend> {
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/// # Arguments
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/// # Arguments
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///
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///
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/// * `cols`: the number of polynomials..
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/// * `cols`: the number of polynomials..
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/// * `size`: the number of size (a.k.a small polynomials) per polynomial.
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/// * `size`: the number of polynomials per column.
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/// * `bytes`: a byte array of size at least [Module::bytes_of_vec_znx_big].
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/// * `bytes`: a byte array of size at least [Module::bytes_of_vec_znx_big].
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///
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///
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/// # Panics
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/// # Panics
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@@ -149,39 +149,45 @@ pub trait VecZnxBigOps<B: Backend> {
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/// a new [VecZnxBig] through [VecZnxBig::from_bytes].
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/// a new [VecZnxBig] through [VecZnxBig::from_bytes].
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fn bytes_of_vec_znx_big(&self, cols: usize, size: usize) -> usize;
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fn bytes_of_vec_znx_big(&self, cols: usize, size: usize) -> usize;
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/// b[VecZnxBig] <- b[VecZnxBig] - a[VecZnx]
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/// Subtracts `a` to `b` and stores the result on `b`.
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///
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/// # Behavior
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///
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/// [VecZnxBig] (3 cols and 4 size)
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/// [a0, b0, c0] [a1, b1, c1] [a2, b2, c2] [a3, b3, c3]
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/// -
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/// [VecZnx] (2 cols and 3 size)
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/// [d0, e0] [d1, e1] [d2, e2]
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/// =
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/// [a0-d0, b0-e0, c0] [a1-d1, b1-e1, c1] [a2-d2, b2-e2, c2] [a3, b3, c3]
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fn vec_znx_big_sub_small_a_inplace(&self, b: &mut VecZnxBig<B>, a: &VecZnx);
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fn vec_znx_big_sub_small_a_inplace(&self, b: &mut VecZnxBig<B>, a: &VecZnx);
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/// c <- b - a
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/// Subtracts `b` to `a` and stores the result on `c`.
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fn vec_znx_big_sub_small_a(&self, c: &mut VecZnxBig<B>, a: &VecZnx, b: &VecZnxBig<B>);
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fn vec_znx_big_sub_small_a(&self, c: &mut VecZnxBig<B>, a: &VecZnx, b: &VecZnxBig<B>);
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/// c <- b + a
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/// Adds `a` to `b` and stores the result on `c`.
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fn vec_znx_big_add_small(&self, c: &mut VecZnxBig<B>, a: &VecZnx, b: &VecZnxBig<B>);
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fn vec_znx_big_add_small(&self, c: &mut VecZnxBig<B>, a: &VecZnx, b: &VecZnxBig<B>);
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/// b <- b + a
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/// Adds `a` to `b` and stores the result on `b`.
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fn vec_znx_big_add_small_inplace(&self, b: &mut VecZnxBig<B>, a: &VecZnx);
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fn vec_znx_big_add_small_inplace(&self, b: &mut VecZnxBig<B>, a: &VecZnx);
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/// Returns the minimum number of bytes to apply [VecZnxBigOps::vec_znx_big_normalize].
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fn vec_znx_big_normalize_tmp_bytes(&self) -> usize;
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fn vec_znx_big_normalize_tmp_bytes(&self) -> usize;
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/// b <- normalize(a)
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/// Normalizes `a` and stores the result on `b`.
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///
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/// # Arguments
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///
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/// * `log_base2k`: normalization basis.
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/// * `tmp_bytes`: scratch space of size at least [VecZnxBigOps::vec_znx_big_normalize].
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fn vec_znx_big_normalize(&self, log_base2k: usize, b: &mut VecZnx, a: &VecZnxBig<B>, tmp_bytes: &mut [u8]);
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fn vec_znx_big_normalize(&self, log_base2k: usize, b: &mut VecZnx, a: &VecZnxBig<B>, tmp_bytes: &mut [u8]);
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/// Returns the minimum number of bytes to apply [VecZnxBigOps::vec_znx_big_range_normalize_base2k].
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fn vec_znx_big_range_normalize_base2k_tmp_bytes(&self) -> usize;
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fn vec_znx_big_range_normalize_base2k_tmp_bytes(&self) -> usize;
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/// Normalize `a`, taking into account column interleaving and stores the result on `b`.
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///
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/// # Arguments
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///
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/// * `log_base2k`: normalization basis.
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/// * `a_range_begin`: column to start.
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/// * `a_range_end`: column to end.
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/// * `a_range_step`: column step size.
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/// * `tmp_bytes`: scratch space of size at least [VecZnxBigOps::vec_znx_big_range_normalize_base2k_tmp_bytes].
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fn vec_znx_big_range_normalize_base2k(
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fn vec_znx_big_range_normalize_base2k(
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&self,
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&self,
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log_base2k: usize,
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log_base2k: usize,
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res: &mut VecZnx,
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b: &mut VecZnx,
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a: &VecZnxBig<B>,
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a: &VecZnxBig<B>,
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a_range_begin: usize,
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a_range_begin: usize,
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a_range_xend: usize,
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a_range_xend: usize,
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@@ -189,9 +195,11 @@ pub trait VecZnxBigOps<B: Backend> {
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tmp_bytes: &mut [u8],
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tmp_bytes: &mut [u8],
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);
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);
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fn vec_znx_big_automorphism(&self, gal_el: i64, b: &mut VecZnxBig<B>, a: &VecZnxBig<B>);
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/// Applies the automorphism X^i -> X^ik on `a` and stores the result on `b`.
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fn vec_znx_big_automorphism(&self, k: i64, b: &mut VecZnxBig<B>, a: &VecZnxBig<B>);
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fn vec_znx_big_automorphism_inplace(&self, gal_el: i64, a: &mut VecZnxBig<B>);
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/// Applies the automorphism X^i -> X^ik on `a` and stores the result on `a`.
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fn vec_znx_big_automorphism_inplace(&self, k: i64, a: &mut VecZnxBig<B>);
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}
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}
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impl VecZnxBigOps<FFT64> for Module<FFT64> {
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impl VecZnxBigOps<FFT64> for Module<FFT64> {
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@@ -211,13 +219,6 @@ impl VecZnxBigOps<FFT64> for Module<FFT64> {
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VecZnxBig::bytes_of(self, cols, size)
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VecZnxBig::bytes_of(self, cols, size)
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}
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}
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/// [VecZnxBig] (3 cols and 4 size)
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/// [a0, b0, c0] [a1, b1, c1] [a2, b2, c2] [a3, b3, c3]
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/// -
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/// [VecZnx] (2 cols and 3 size)
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/// [d0, e0] [d1, e1] [d2, e2]
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/// =
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/// [a0-d0, b0-e0, c0] [a1-d1, b1-e1, c1] [a2-d2, b2-e2, c2] [a3, b3, c3]
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fn vec_znx_big_sub_small_a_inplace(&self, b: &mut VecZnxBig<FFT64>, a: &VecZnx) {
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fn vec_znx_big_sub_small_a_inplace(&self, b: &mut VecZnxBig<FFT64>, a: &VecZnx) {
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unsafe {
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unsafe {
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vec_znx_big::vec_znx_big_sub_small_a(
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vec_znx_big::vec_znx_big_sub_small_a(
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