mirror of
https://github.com/arnaucube/poulpy.git
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254 lines
7.0 KiB
Rust
254 lines
7.0 KiB
Rust
use crate::Backend;
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use crate::DataView;
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use crate::DataViewMut;
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use crate::Module;
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use crate::ZnxView;
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use crate::alloc_aligned;
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use crate::assert_alignement;
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use crate::cast_mut;
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use crate::ffi::znx;
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use crate::znx_base::{GetZnxBase, ZnxAlloc, ZnxBase, ZnxInfos, ZnxRsh, ZnxZero, switch_degree};
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use std::{cmp::min, fmt};
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// pub const VEC_ZNX_ROWS: usize = 1;
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/// [VecZnx] represents collection of contiguously stacked vector of small norm polynomials of
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/// Zn\[X\] with [i64] coefficients.
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/// A [VecZnx] is composed of multiple Zn\[X\] polynomials stored in a single contiguous array
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/// in the memory.
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///
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/// # Example
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///
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/// Given 3 polynomials (a, b, c) of Zn\[X\], each with 4 columns, then the memory
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/// layout is: `[a0, b0, c0, a1, b1, c1, a2, b2, c2, a3, b3, c3]`, where ai, bi, ci
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/// are small polynomials of Zn\[X\].
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pub struct VecZnx<D> {
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data: D,
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n: usize,
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cols: usize,
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size: usize,
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}
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impl<D> ZnxInfos for VecZnx<D> {
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fn cols(&self) -> usize {
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self.cols
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}
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fn rows(&self) -> usize {
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1
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}
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fn n(&self) -> usize {
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self.n
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}
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fn size(&self) -> usize {
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self.size
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}
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fn sl(&self) -> usize {
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self.cols() * self.n()
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}
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}
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impl<D> DataView for VecZnx<D> {
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type D = D;
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fn data(&self) -> &Self::D {
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&self.data
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}
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}
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impl<D> DataViewMut for VecZnx<D> {
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fn data_mut(&self) -> &mut Self::D {
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&mut self.data
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}
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}
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impl<D: AsRef<[u8]>> ZnxView for VecZnx<D> {
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type Scalar = i64;
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}
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impl<D: AsMut<[u8]> + AsRef<[u8]>> VecZnx<D> {
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pub fn normalize(&mut self, log_base2k: usize, col: usize, carry: &mut [u8]) {
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normalize(log_base2k, self, col, carry)
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}
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/// Truncates the precision of the [VecZnx] by k bits.
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///
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/// # Arguments
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///
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/// * `log_base2k`: the base two logarithm of the coefficients decomposition.
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/// * `k`: the number of bits of precision to drop.
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pub fn trunc_pow2(&mut self, log_base2k: usize, k: usize, col: usize) {
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if k == 0 {
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return;
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}
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self.inner.size -= k / log_base2k;
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let k_rem: usize = k % log_base2k;
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if k_rem != 0 {
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let mask: i64 = ((1 << (log_base2k - k_rem - 1)) - 1) << k_rem;
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self.at_mut(col, self.size() - 1)
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.iter_mut()
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.for_each(|x: &mut i64| *x &= mask)
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}
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}
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/// Switches degree of from `a.n()` to `self.n()` into `self`
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pub fn switch_degree<Data: AsRef<[u8]>>(&mut self, col: usize, a: &Data, col_a: usize) {
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switch_degree(self, col_a, a, col)
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}
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// Prints the first `n` coefficients of each limb
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// pub fn print(&self, n: usize, col: usize) {
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// (0..self.size()).for_each(|j| println!("{}: {:?}", j, &self.at(col, j)[..n]));
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// }
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}
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impl<D: From<Vec<u8>>> VecZnx<D> {
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pub(crate) fn bytes_of<Scalar: Sized>(n: usize, cols: usize, size: usize) -> usize {
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n * cols * size * size_of::<Scalar>()
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}
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pub(crate) fn new<Scalar: Sized>(n: usize, cols: usize, size: usize) -> Self {
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let data = alloc_aligned::<u8>(Self::bytes_of::<Scalar>(n, cols, size));
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Self {
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data: data.into(),
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n,
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cols,
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size,
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}
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}
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pub(crate) fn new_from_bytes<Scalar: Sized>(n: usize, cols: usize, size: usize, bytes: impl Into<Vec<u8>>) -> Self {
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let data: Vec<u8> = bytes.into();
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assert!(data.len() == Self::bytes_of::<Scalar>(n, cols, size));
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Self {
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data: data.into(),
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n,
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cols,
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size,
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}
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}
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}
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//(Jay)TODO: Impl. truncate pow2 for Owned Vector
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/// Copies the coefficients of `a` on the receiver.
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/// Copy is done with the minimum size matching both backing arrays.
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/// Panics if the cols do not match.
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pub fn copy_vec_znx_from<DataMut, Data>(b: &mut VecZnx<DataMut>, a: &VecZnx<Data>)
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where
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DataMut: AsMut<[u8]> + AsRef<[u8]>,
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Data: AsRef<[u8]>,
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{
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assert_eq!(b.cols(), a.cols());
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let data_a: &[i64] = a.raw();
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let data_b: &mut [i64] = b.raw_mut();
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let size = min(data_b.len(), data_a.len());
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data_b[..size].copy_from_slice(&data_a[..size])
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}
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// if !self.borrowing() {
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// self.inner
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// .data
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// .truncate(self.n() * self.cols() * (self.size() - k / log_base2k));
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// }
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fn normalize_tmp_bytes(n: usize) -> usize {
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n * std::mem::size_of::<i64>()
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}
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fn normalize<D: AsMut<[u8]>>(log_base2k: usize, a: &mut VecZnx<D>, a_col: usize, tmp_bytes: &mut [u8]) {
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let n: usize = a.n();
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debug_assert!(
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tmp_bytes.len() >= normalize_tmp_bytes(n),
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"invalid tmp_bytes: tmp_bytes.len()={} < normalize_tmp_bytes({})",
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tmp_bytes.len(),
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n,
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);
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#[cfg(debug_assertions)]
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{
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assert_alignement(tmp_bytes.as_ptr())
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}
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let carry_i64: &mut [i64] = cast_mut(tmp_bytes);
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unsafe {
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znx::znx_zero_i64_ref(n as u64, carry_i64.as_mut_ptr());
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(0..a.size()).rev().for_each(|i| {
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znx::znx_normalize(
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n as u64,
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log_base2k as u64,
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a.at_mut_ptr(a_col, i),
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carry_i64.as_mut_ptr(),
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a.at_mut_ptr(a_col, i),
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carry_i64.as_mut_ptr(),
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)
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});
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}
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}
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// impl<B: Backend> ZnxAlloc<B> for VecZnx {
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// type Scalar = i64;
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// fn from_bytes_borrow(module: &Module<B>, _rows: usize, cols: usize, size: usize, bytes: &mut [u8]) -> VecZnx {
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// debug_assert_eq!(bytes.len(), Self::bytes_of(module, _rows, cols, size));
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// VecZnx {
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// inner: ZnxBase::from_bytes_borrow(module.n(), VEC_ZNX_ROWS, cols, size, bytes),
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// }
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// }
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// fn bytes_of(module: &Module<B>, _rows: usize, cols: usize, size: usize) -> usize {
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// debug_assert_eq!(
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// _rows, VEC_ZNX_ROWS,
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// "rows != {} not supported for VecZnx",
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// VEC_ZNX_ROWS
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// );
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// module.n() * cols * size * size_of::<Self::Scalar>()
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// }
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// }
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impl<D: AsRef<[u8]>> fmt::Display for VecZnx<D> {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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writeln!(
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f,
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"VecZnx(n={}, cols={}, size={})",
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self.n, self.cols, self.size
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)?;
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for col in 0..self.cols {
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writeln!(f, "Column {}:", col)?;
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for size in 0..self.size {
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let coeffs = self.at(col, size);
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write!(f, " Size {}: [", size)?;
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let max_show = 100;
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let show_count = coeffs.len().min(max_show);
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for (i, &coeff) in coeffs.iter().take(show_count).enumerate() {
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if i > 0 {
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write!(f, ", ")?;
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}
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write!(f, "{}", coeff)?;
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}
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if coeffs.len() > max_show {
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write!(f, ", ... ({} more)", coeffs.len() - max_show)?;
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}
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writeln!(f, "]")?;
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}
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}
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Ok(())
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}
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}
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pub type VecZnxOwned = VecZnx<Vec<u8>>;
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pub type VecZnxMut<'a> = VecZnx<&'a mut [u8]>;
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pub type VecZnxRef<'a> = VecZnx<&'a [u8]>;
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