mirror of
https://github.com/arnaucube/poulpy.git
synced 2026-02-10 13:16:44 +01:00
added tests for sampling (and indirectly stats)
This commit is contained in:
8
base2k/.vscode/settings.json
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8
base2k/.vscode/settings.json
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@@ -0,0 +1,8 @@
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{
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"github.copilot.enable": {
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"*": false,
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"plaintext": false,
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"markdown": false,
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"scminput": false
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}
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}
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@@ -271,9 +271,9 @@ mod tests {
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let n: usize = 8;
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let module: Module<FFT64> = Module::<FFT64>::new(n);
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let log_base2k: usize = 17;
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let cols: usize = 5;
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let log_k: usize = cols * log_base2k - 5;
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let mut a: VecZnx = VecZnx::new(&module, 2, cols);
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let limbs: usize = 5;
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let log_k: usize = limbs * log_base2k - 5;
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let mut a: VecZnx = VecZnx::new(&module, 2, limbs);
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let mut source: Source = Source::new([0u8; 32]);
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let raw: &mut [i64] = a.raw_mut();
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raw.iter_mut().enumerate().for_each(|(i, x)| *x = i as i64);
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@@ -293,9 +293,9 @@ mod tests {
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let n: usize = 8;
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let module: Module<FFT64> = Module::<FFT64>::new(n);
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let log_base2k: usize = 17;
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let cols: usize = 5;
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let log_k: usize = cols * log_base2k - 5;
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let mut a: VecZnx = VecZnx::new(&module, 2, cols);
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let limbs: usize = 5;
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let log_k: usize = limbs * log_base2k - 5;
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let mut a: VecZnx = VecZnx::new(&module, 2, limbs);
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let mut source = Source::new([0u8; 32]);
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let raw: &mut [i64] = a.raw_mut();
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raw.iter_mut().enumerate().for_each(|(i, x)| *x = i as i64);
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@@ -1,4 +1,4 @@
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use crate::{Backend, Module, VecZnx, ZnxInfos, ZnxLayout};
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use crate::{Backend, Module, VecZnx, ZnxLayout};
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use rand_distr::{Distribution, Normal};
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use sampling::source::Source;
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@@ -59,28 +59,25 @@ impl<B: Backend> Sampling for Module<B> {
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(bound.log2().ceil() as i64)
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);
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let limb: usize = (log_k + log_base2k - 1) / log_base2k - 1;
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let log_base2k_rem: usize = log_k % log_base2k;
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if log_base2k_rem != 0 {
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a.at_poly_mut(col_i, a.limbs() - 1)
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.iter_mut()
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.for_each(|a| {
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let mut dist_f64: f64 = dist.sample(source);
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while dist_f64.abs() > bound {
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dist_f64 = dist.sample(source)
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}
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*a += (dist_f64.round() as i64) << log_base2k_rem;
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});
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a.at_poly_mut(col_i, limb).iter_mut().for_each(|a| {
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let mut dist_f64: f64 = dist.sample(source);
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while dist_f64.abs() > bound {
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dist_f64 = dist.sample(source)
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}
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*a += (dist_f64.round() as i64) << log_base2k_rem;
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});
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} else {
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a.at_poly_mut(col_i, a.limbs() - 1)
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.iter_mut()
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.for_each(|a| {
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let mut dist_f64: f64 = dist.sample(source);
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while dist_f64.abs() > bound {
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dist_f64 = dist.sample(source)
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}
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*a += dist_f64.round() as i64
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});
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a.at_poly_mut(col_i, limb).iter_mut().for_each(|a| {
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let mut dist_f64: f64 = dist.sample(source);
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while dist_f64.abs() > bound {
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dist_f64 = dist.sample(source)
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}
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*a += dist_f64.round() as i64
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});
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}
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}
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@@ -105,3 +102,70 @@ impl<B: Backend> Sampling for Module<B> {
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);
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}
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}
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#[cfg(test)]
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mod tests {
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use super::Sampling;
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use crate::{FFT64, Module, Stats, VecZnx, ZnxBase, ZnxLayout};
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use sampling::source::Source;
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#[test]
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fn fill_uniform() {
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let n: usize = 4096;
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let module: Module<FFT64> = Module::<FFT64>::new(n);
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let log_base2k: usize = 17;
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let limbs: usize = 5;
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let mut source: Source = Source::new([0u8; 32]);
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let cols: usize = 2;
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let zero: Vec<i64> = vec![0; n];
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let one_12_sqrt: f64 = 0.28867513459481287;
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(0..cols).for_each(|col_i| {
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let mut a: VecZnx = VecZnx::new(&module, cols, limbs);
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module.fill_uniform(log_base2k, &mut a, col_i, limbs, &mut source);
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(0..cols).for_each(|col_j| {
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if col_j != col_i {
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(0..limbs).for_each(|limb_i| {
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assert_eq!(a.at_poly(col_j, limb_i), zero);
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})
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} else {
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let std: f64 = a.std(col_i, log_base2k);
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assert!(
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(std - one_12_sqrt).abs() < 0.01,
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"std={} ~!= {}",
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std,
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one_12_sqrt
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);
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}
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})
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});
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}
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#[test]
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fn add_normal() {
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let n: usize = 4096;
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let module: Module<FFT64> = Module::<FFT64>::new(n);
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let log_base2k: usize = 17;
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let log_k: usize = 2 * 17;
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let limbs: usize = 5;
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let sigma: f64 = 3.2;
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let bound: f64 = 6.0 * sigma;
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let mut source: Source = Source::new([0u8; 32]);
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let cols: usize = 2;
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let zero: Vec<i64> = vec![0; n];
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let k_f64: f64 = (1u64 << log_k as u64) as f64;
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(0..cols).for_each(|col_i| {
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let mut a: VecZnx = VecZnx::new(&module, cols, limbs);
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module.add_normal(log_base2k, &mut a, col_i, log_k, &mut source, sigma, bound);
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(0..cols).for_each(|col_j| {
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if col_j != col_i {
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(0..limbs).for_each(|limb_i| {
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assert_eq!(a.at_poly(col_j, limb_i), zero);
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})
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} else {
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let std: f64 = a.std(col_i, log_base2k) * k_f64;
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assert!((std - sigma).abs() < 0.1, "std={} ~!= {}", std, sigma);
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}
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})
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});
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}
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}
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@@ -3,11 +3,16 @@ use rug::Float;
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use rug::float::Round;
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use rug::ops::{AddAssignRound, DivAssignRound, SubAssignRound};
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impl VecZnx {
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pub fn std(&self, poly_idx: usize, log_base2k: usize) -> f64 {
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let prec: u32 = (self.cols() * log_base2k) as u32;
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pub trait Stats {
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/// Returns the standard devaition of the i-th polynomial.
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fn std(&self, col_i: usize, log_base2k: usize) -> f64;
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}
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impl Stats for VecZnx {
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fn std(&self, col_i: usize, log_base2k: usize) -> f64 {
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let prec: u32 = (self.limbs() * log_base2k) as u32;
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let mut data: Vec<Float> = (0..self.n()).map(|_| Float::with_val(prec, 0)).collect();
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self.decode_vec_float(poly_idx, log_base2k, &mut data);
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self.decode_vec_float(col_i, log_base2k, &mut data);
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// std = sqrt(sum((xi - avg)^2) / n)
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let mut avg: Float = Float::with_val(prec, 0);
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data.iter().for_each(|x| {
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@@ -1,5 +1,5 @@
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use crate::ffi::vec_znx_big::{self, vec_znx_big_t};
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use crate::{Backend, FFT64, Module, VecZnx, VecZnxDft, ZnxBase, ZnxInfos, ZnxLayout, alloc_aligned, assert_alignement};
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use crate::{Backend, FFT64, Module, VecZnx, ZnxBase, ZnxInfos, ZnxLayout, alloc_aligned, assert_alignement};
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use std::marker::PhantomData;
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pub struct VecZnxBig<B: Backend> {
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