remove a lot of unsafe, lost perf
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00f3ba6a01
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@ -700,7 +700,7 @@ pub(crate) fn diff_op_col_matrix<const M: usize, const N: usize, const D: usize>
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diag: &RowVector<Float, D>,
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optype: OperatorType,
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prev: ArrayView2<Float>,
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mut fut: ArrayViewMut2<Float>,
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fut: ArrayViewMut2<Float>,
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) {
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assert_eq!(prev.shape(), fut.shape());
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let nx = prev.shape()[1];
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@ -728,12 +728,7 @@ pub(crate) fn diff_op_col_matrix<const M: usize, const N: usize, const D: usize>
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let half_diag_width = (D - 1) / 2;
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assert!(half_diag_width <= M);
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let fut_base_ptr = fut.as_mut_ptr();
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let fut_stride = fut.strides()[1];
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let fut_ptr = |j, i| {
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debug_assert!(j < ny && i < nx);
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unsafe { fut_base_ptr.offset(fut_stride * i as isize + j as isize) }
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};
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let prev_base_ptr = prev.as_ptr();
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let prev_stride = prev.strides()[1];
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@ -745,88 +740,92 @@ pub(crate) fn diff_op_col_matrix<const M: usize, const N: usize, const D: usize>
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// Not algo necessary, but gives performance increase
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assert_eq!(fut_stride, prev_stride);
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use ndarray::Axis;
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let (mut fut1, fut) = fut.split_at(Axis(1), M);
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let (mut fut, mut fut2) = fut.split_at(Axis(1), nx - 2 * M);
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// First block
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{
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for (ifut, &bl) in block.iter_rows().enumerate() {
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for j in (0..simdified).step_by(SimdT::lanes()) {
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let index_to_simd = |i| unsafe {
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// j never moves past end of slice due to step_by and
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// rounding down
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SimdT::from_slice_unaligned(std::slice::from_raw_parts(
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prev_ptr(j, i),
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SimdT::lanes(),
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))
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};
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let prev = prev.slice(ndarray::s![.., ..N]);
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let (prevb, prevl) = prev.split_at(Axis(0), simdified);
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for (mut fut, &bl) in fut1.axis_iter_mut(Axis(1)).zip(block.iter_rows()) {
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let fut = fut.as_slice_mut().unwrap();
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let fut = &mut fut[..ny];
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let mut fut = fut.chunks_exact_mut(SimdT::lanes());
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let mut prev = prevb.axis_chunks_iter(Axis(0), SimdT::lanes());
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for (fut, prev) in fut.by_ref().zip(prev.by_ref()) {
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let mut f = SimdT::splat(0.0);
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for (iprev, &bl) in bl.iter().enumerate() {
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f = index_to_simd(iprev).mul_adde(SimdT::splat(bl), f);
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for (&bl, prev) in bl.iter().zip(prev.axis_iter(Axis(1))) {
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let prev = prev.to_slice().unwrap();
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let prev = SimdT::from_slice_unaligned(prev);
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f = prev.mul_adde(SimdT::splat(bl), f);
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}
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f *= idx;
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unsafe {
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f.write_to_slice_unaligned(std::slice::from_raw_parts_mut(
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fut_ptr(j, ifut),
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SimdT::lanes(),
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));
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}
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f.write_to_slice_unaligned(fut);
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}
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for j in simdified..ny {
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unsafe {
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let mut f = 0.0;
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for (iprev, bl) in bl.iter().enumerate() {
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f += bl * *prev_ptr(j, iprev);
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}
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*fut_ptr(j, ifut) = f * idx;
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for (fut, prev) in fut
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.into_remainder()
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.iter_mut()
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.zip(prevl.axis_iter(Axis(0)))
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{
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let mut f = 0.0;
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for (bl, prev) in bl.iter().zip(prev.iter()) {
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f += bl * prev;
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}
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*fut = f * idx;
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}
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}
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}
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// Diagonal elements
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{
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for ifut in M..nx - M {
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for j in (0..simdified).step_by(SimdT::lanes()) {
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let index_to_simd = |i| unsafe {
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// j never moves past end of slice due to step_by and
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// rounding down
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SimdT::from_slice_unaligned(std::slice::from_raw_parts(
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prev_ptr(j, i),
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SimdT::lanes(),
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))
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};
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let window_elems_to_skip = M - ((D - 1) / 2);
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let prev = prev.slice(ndarray::s![.., window_elems_to_skip..]);
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let prev = prev.windows((ny, D));
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for (mut fut, prev) in fut.axis_iter_mut(Axis(1)).zip(prev) {
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let fut = fut.as_slice_mut().unwrap();
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let fut = &mut fut[..ny];
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let mut fut = fut.chunks_exact_mut(SimdT::lanes());
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let (prevb, prevl) = prev.split_at(Axis(0), simdified);
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let prev = prevb.axis_chunks_iter(Axis(0), SimdT::lanes());
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for (fut, prev) in fut.by_ref().zip(prev) {
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let mut f = SimdT::splat(0.0);
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for (id, &d) in diag.iter().enumerate() {
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let offset = ifut - half_diag_width + id;
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f = index_to_simd(offset).mul_adde(SimdT::splat(d), f);
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for (&d, prev) in diag.iter().zip(prev.axis_iter(Axis(1))) {
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let prev = prev.to_slice().unwrap();
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let prev = SimdT::from_slice_unaligned(prev);
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f = prev.mul_adde(SimdT::splat(d), f);
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}
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f *= idx;
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unsafe {
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// puts simd along stride 1, j never goes past end of slice
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f.write_to_slice_unaligned(std::slice::from_raw_parts_mut(
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fut_ptr(j, ifut),
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SimdT::lanes(),
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));
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}
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f.write_to_slice_unaligned(fut);
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}
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for j in simdified..ny {
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for (fut, prev) in fut
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.into_remainder()
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.into_iter()
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.zip(prevl.axis_iter(Axis(0)))
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{
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let mut f = 0.0;
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for (id, &d) in diag.iter().enumerate() {
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let offset = ifut - half_diag_width + id;
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unsafe {
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f += d * *prev_ptr(j, offset);
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}
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}
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unsafe {
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*fut_ptr(j, ifut) = idx * f;
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for (&d, prev) in diag.iter().zip(prev) {
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f += d * prev;
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}
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*fut = idx * f;
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}
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}
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}
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// End block
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{
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for (ifut, &bl) in (nx - M..nx).zip(block2.iter_rows()) {
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for j in (0..simdified).step_by(SimdT::lanes()) {
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for (mut fut, &bl) in fut2.axis_iter_mut(Axis(1)).zip(block2.iter_rows()) {
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let fut = fut.as_slice_mut().unwrap();
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let fut = &mut fut[..ny];
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let mut fut = fut.chunks_exact_mut(SimdT::lanes());
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for (fut, j) in fut.by_ref().zip((0..simdified).step_by(SimdT::lanes())) {
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let index_to_simd = |i| unsafe {
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// j never moves past end of slice due to step_by and
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// rounding down
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@ -840,21 +839,15 @@ pub(crate) fn diff_op_col_matrix<const M: usize, const N: usize, const D: usize>
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f = index_to_simd(iprev).mul_adde(SimdT::splat(bl), f);
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}
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f *= idx;
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unsafe {
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f.write_to_slice_unaligned(std::slice::from_raw_parts_mut(
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fut_ptr(j, ifut),
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SimdT::lanes(),
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));
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}
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f.write_to_slice_unaligned(fut);
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}
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for j in simdified..ny {
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for (fut, j) in fut.into_remainder().into_iter().zip(simdified..ny) {
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unsafe {
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let mut f = 0.0;
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for (iprev, bl) in (nx - N..nx).zip(bl.iter()) {
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f += bl * *prev_ptr(j, iprev);
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}
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*fut_ptr(j, ifut) = f * idx;
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*fut = f * idx;
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}
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}
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}
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