mirror of
https://github.com/arnaucube/poulpy.git
synced 2026-02-10 13:16:44 +01:00
227 lines
5.5 KiB
Rust
227 lines
5.5 KiB
Rust
use std::{
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fmt,
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hash::{DefaultHasher, Hasher},
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marker::PhantomData,
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};
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use rand_distr::num_traits::Zero;
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use crate::{
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alloc_aligned,
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layouts::{
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Backend, Data, DataMut, DataRef, DataView, DataViewMut, DigestU64, VecZnxBig, ZnxInfos, ZnxSliceSize, ZnxView,
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ZnxViewMut, ZnxZero,
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},
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oep::VecZnxDftAllocBytesImpl,
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};
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#[repr(C)]
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#[derive(PartialEq, Eq)]
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pub struct VecZnxDft<D: Data, B: Backend> {
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pub data: D,
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pub n: usize,
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pub cols: usize,
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pub size: usize,
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pub max_size: usize,
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pub _phantom: PhantomData<B>,
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}
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impl<D: DataRef, B: Backend> DigestU64 for VecZnxDft<D, B> {
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fn digest_u64(&self) -> u64 {
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let mut h: DefaultHasher = DefaultHasher::new();
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h.write(self.data.as_ref());
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h.write_usize(self.n);
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h.write_usize(self.cols);
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h.write_usize(self.size);
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h.write_usize(self.max_size);
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h.finish()
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}
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}
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impl<D: Data, B: Backend> ZnxSliceSize for VecZnxDft<D, B> {
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fn sl(&self) -> usize {
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B::layout_prep_word_count() * self.n() * self.cols()
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}
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}
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impl<D: DataRef, B: Backend> ZnxView for VecZnxDft<D, B> {
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type Scalar = B::ScalarPrep;
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}
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impl<D: Data, B: Backend> VecZnxDft<D, B> {
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pub fn into_big(self) -> VecZnxBig<D, B> {
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VecZnxBig::<D, B>::from_data(self.data, self.n, self.cols, self.size)
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}
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}
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impl<D: Data, B: Backend> ZnxInfos for VecZnxDft<D, B> {
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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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}
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impl<D: Data, B: Backend> DataView for VecZnxDft<D, B> {
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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: Data, B: Backend> DataViewMut for VecZnxDft<D, B> {
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fn data_mut(&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: DataRef, B: Backend> VecZnxDft<D, B> {
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pub fn max_size(&self) -> usize {
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self.max_size
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}
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}
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impl<D: DataMut, B: Backend> VecZnxDft<D, B> {
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pub fn set_size(&mut self, size: usize) {
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assert!(size <= self.max_size);
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self.size = size
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}
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}
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impl<D: DataMut, B: Backend> ZnxZero for VecZnxDft<D, B>
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where
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Self: ZnxViewMut,
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<Self as ZnxView>::Scalar: Zero + Copy,
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{
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fn zero(&mut self) {
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self.raw_mut().fill(<Self as ZnxView>::Scalar::zero())
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}
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fn zero_at(&mut self, i: usize, j: usize) {
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self.at_mut(i, j).fill(<Self as ZnxView>::Scalar::zero());
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}
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}
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impl<D: DataRef + From<Vec<u8>>, B: Backend> VecZnxDft<D, B>
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where
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B: VecZnxDftAllocBytesImpl<B>,
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{
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pub fn alloc(n: usize, cols: usize, size: usize) -> Self {
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let data: Vec<u8> = alloc_aligned::<u8>(B::vec_znx_dft_alloc_bytes_impl(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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max_size: size,
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_phantom: PhantomData,
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}
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}
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pub fn from_bytes(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() == B::vec_znx_dft_alloc_bytes_impl(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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max_size: size,
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_phantom: PhantomData,
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}
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}
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}
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pub type VecZnxDftOwned<B> = VecZnxDft<Vec<u8>, B>;
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impl<D: Data, B: Backend> VecZnxDft<D, B> {
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pub fn from_data(data: D, n: usize, cols: usize, size: usize) -> Self {
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Self {
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data,
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n,
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cols,
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size,
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max_size: size,
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_phantom: PhantomData,
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}
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}
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}
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pub trait VecZnxDftToRef<B: Backend> {
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fn to_ref(&self) -> VecZnxDft<&[u8], B>;
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}
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impl<D: DataRef, B: Backend> VecZnxDftToRef<B> for VecZnxDft<D, B> {
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fn to_ref(&self) -> VecZnxDft<&[u8], B> {
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VecZnxDft {
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data: self.data.as_ref(),
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n: self.n,
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cols: self.cols,
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size: self.size,
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max_size: self.max_size,
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_phantom: std::marker::PhantomData,
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}
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}
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}
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pub trait VecZnxDftToMut<B: Backend> {
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fn to_mut(&mut self) -> VecZnxDft<&mut [u8], B>;
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}
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impl<D: DataMut, B: Backend> VecZnxDftToMut<B> for VecZnxDft<D, B> {
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fn to_mut(&mut self) -> VecZnxDft<&mut [u8], B> {
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VecZnxDft {
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data: self.data.as_mut(),
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n: self.n,
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cols: self.cols,
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size: self.size,
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max_size: self.max_size,
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_phantom: std::marker::PhantomData,
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}
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}
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}
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impl<D: DataRef, B: Backend> fmt::Display for VecZnxDft<D, B> {
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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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"VecZnxDft(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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