Miscellaneous improvements
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10b5dc9bb6
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b74be8499f
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@ -57,9 +57,8 @@ where
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let (nrows, ncols) = m.data.shape();
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let mut info = 0;
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let mut tau = unsafe {
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Matrix::new_uninitialized_generic(nrows.min(ncols), U1).assume_init()
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};
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let mut tau =
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unsafe { Matrix::new_uninitialized_generic(nrows.min(ncols), U1).assume_init() };
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if nrows.value() == 0 || ncols.value() == 0 {
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return Self { qr: m, tau: tau };
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@ -1,4 +1,5 @@
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use std::mem;use std::fmt::{self, Debug, Formatter};
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use std::fmt::{self, Debug, Formatter};
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use std::mem;
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// use std::hash::{Hash, Hasher};
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#[cfg(feature = "abomonation-serialize")]
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use std::io::{Result as IOResult, Write};
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@ -12,8 +13,6 @@ use serde::ser::SerializeSeq;
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use serde::{Deserialize, Deserializer, Serialize, Serializer};
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#[cfg(feature = "serde-serialize-no-std")]
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use std::marker::PhantomData;
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#[cfg(feature = "serde-serialize-no-std")]
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use std::mem;
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#[cfg(feature = "abomonation-serialize")]
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use abomonation::Abomonation;
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@ -146,7 +146,7 @@ macro_rules! component_binop_impl(
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);
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/// # Componentwise operations
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impl<T:Scalar, R1: Dim, C1: Dim, SA: Storage<T, R1, C1>> Matrix<T, R1, C1, SA> {
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impl<T: Scalar, R1: Dim, C1: Dim, SA: Storage<T, R1, C1>> Matrix<T, R1, C1, SA> {
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component_binop_impl!(
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component_mul, component_mul_mut, component_mul_assign, cmpy, ClosedMul.mul.mul_assign,
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r"
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@ -4,7 +4,7 @@
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//! heap-allocated buffers for matrices with at least one dimension unknown at compile-time.
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use std::cmp;
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use std::mem::{self, ManuallyDrop, MaybeUninit};
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use std::mem::{ManuallyDrop, MaybeUninit};
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use std::ptr;
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#[cfg(all(feature = "alloc", not(feature = "std")))]
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@ -92,9 +92,8 @@ impl<T, const R: usize, const C: usize> Allocator<T, Const<R>, Const<C>> for Def
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// SAFETY:
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// * `ManuallyDrop<T>` and T are guaranteed to have the same layout
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// * `ManuallyDrop` does not drop, so there are no double-frees
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// * `ArrayStorage` is transparent.
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// And thus the conversion is safe
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ArrayStorage(unsafe { mem::transmute_copy(&ManuallyDrop::new(buf.0)) })
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unsafe { ArrayStorage((&ManuallyDrop::new(buf) as *const _ as *const [_; C]).read()) }
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}
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}
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@ -132,32 +131,35 @@ impl<T, C: Dim> Allocator<T, Dynamic, C> for DefaultAllocator {
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#[inline]
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unsafe fn assume_init(uninit: Owned<MaybeUninit<T>, Dynamic, C>) -> Owned<T, Dynamic, C> {
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let mut data = ManuallyDrop::new(uninit.data);
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// Avoids a double-drop.
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let (nrows, ncols) = uninit.shape();
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let vec: Vec<_> = uninit.into();
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let mut md = ManuallyDrop::new(vec);
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// Safety: MaybeUninit<T> has the same alignment and layout as T.
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let new_data =
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Vec::from_raw_parts(data.as_mut_ptr() as *mut T, data.len(), data.capacity());
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// Safety:
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// - MaybeUninit<T> has the same alignment and layout as T.
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// - The length and capacity come from a valid vector.
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let new_data = Vec::from_raw_parts(md.as_mut_ptr() as *mut _, md.len(), md.capacity());
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VecStorage::new(uninit.nrows, uninit.ncols, new_data)
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VecStorage::new(nrows, ncols, new_data)
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}
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#[inline]
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fn manually_drop(
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buf: <Self as InnerAllocator<T, Dynamic, C>>::Buffer,
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) -> <Self as InnerAllocator<ManuallyDrop<T>, Dynamic, C>>::Buffer {
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// Avoids dropping the buffer that will be used for the result.
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let mut data = ManuallyDrop::new(buf.data);
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// Avoids a double-drop.
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let (nrows, ncols) = buf.shape();
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let vec: Vec<_> = buf.into();
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let mut md = ManuallyDrop::new(vec);
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// Safety: ManuallyDrop<T> has the same alignment and layout as T.
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let new_data = unsafe {
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Vec::from_raw_parts(
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data.as_mut_ptr() as *mut ManuallyDrop<T>,
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data.len(),
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data.capacity(),
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)
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};
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// Safety:
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// - ManuallyDrop<T> has the same alignment and layout as T.
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// - The length and capacity come from a valid vector.
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let new_data =
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unsafe { Vec::from_raw_parts(md.as_mut_ptr() as *mut _, md.len(), md.capacity()) };
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VecStorage::new(buf.nrows, buf.ncols, new_data)
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VecStorage::new(nrows, ncols, new_data)
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}
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}
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@ -194,32 +196,35 @@ impl<T, R: DimName> Allocator<T, R, Dynamic> for DefaultAllocator {
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#[inline]
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unsafe fn assume_init(uninit: Owned<MaybeUninit<T>, R, Dynamic>) -> Owned<T, R, Dynamic> {
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let mut data = ManuallyDrop::new(uninit.data);
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// Avoids a double-drop.
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let (nrows, ncols) = uninit.shape();
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let vec: Vec<_> = uninit.into();
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let mut md = ManuallyDrop::new(vec);
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// Safety: MaybeUninit<T> has the same alignment and layout as T.
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let new_data =
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Vec::from_raw_parts(data.as_mut_ptr() as *mut T, data.len(), data.capacity());
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// Safety:
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// - MaybeUninit<T> has the same alignment and layout as T.
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// - The length and capacity come from a valid vector.
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let new_data = Vec::from_raw_parts(md.as_mut_ptr() as *mut _, md.len(), md.capacity());
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VecStorage::new(uninit.nrows, uninit.ncols, new_data)
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VecStorage::new(nrows, ncols, new_data)
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}
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#[inline]
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fn manually_drop(
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buf: <Self as InnerAllocator<T, R, Dynamic>>::Buffer,
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) -> <Self as InnerAllocator<ManuallyDrop<T>, R, Dynamic>>::Buffer {
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// Avoids dropping the buffer that will be used for the result.
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let mut data = ManuallyDrop::new(buf.data);
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// Avoids a double-drop.
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let (nrows, ncols) = buf.shape();
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let vec: Vec<_> = buf.into();
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let mut md = ManuallyDrop::new(vec);
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// Safety: ManuallyDrop<T> has the same alignment and layout as T.
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let new_data = unsafe {
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Vec::from_raw_parts(
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data.as_mut_ptr() as *mut ManuallyDrop<T>,
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data.len(),
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data.capacity(),
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)
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};
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// Safety:
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// - ManuallyDrop<T> has the same alignment and layout as T.
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// - The length and capacity come from a valid vector.
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let new_data =
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unsafe { Vec::from_raw_parts(md.as_mut_ptr() as *mut _, md.len(), md.capacity()) };
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VecStorage::new(buf.nrows, buf.ncols, new_data)
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VecStorage::new(nrows, ncols, new_data)
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}
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}
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@ -385,6 +385,10 @@ where
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/// Assumes a matrix's entries to be initialized. This operation should be near zero-cost.
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///
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/// For the similar method that operates on matrix slices, see [`slice_assume_init`].
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///
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/// # Safety
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/// The user must make sure that every single entry of the buffer has been initialized,
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/// or Undefined Behavior will immediately occur.
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pub unsafe fn assume_init(self) -> OMatrix<T, R, C> {
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OMatrix::from_data(<DefaultAllocator as Allocator<T, R, C>>::assume_init(
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self.data,
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@ -408,6 +412,10 @@ where
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impl<T, R: Dim, C: Dim, S> Matrix<MaybeUninit<T>, R, C, S> {
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/// Creates a full slice from `self` and assumes it to be initialized.
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///
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/// # Safety
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/// The user must make sure that every single entry of the buffer has been initialized,
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/// or Undefined Behavior will immediately occur.
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pub unsafe fn assume_init_ref(&self) -> MatrixSlice<T, R, C, S::RStride, S::CStride>
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where
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S: Storage<MaybeUninit<T>, R, C>,
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@ -416,6 +424,10 @@ impl<T, R: Dim, C: Dim, S> Matrix<MaybeUninit<T>, R, C, S> {
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}
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/// Creates a full mutable slice from `self` and assumes it to be initialized.
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///
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/// # Safety
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/// The user must make sure that every single entry of the buffer has been initialized,
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/// or Undefined Behavior will immediately occur.
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pub unsafe fn assume_init_mut(&mut self) -> MatrixSliceMut<T, R, C, S::RStride, S::CStride>
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where
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S: StorageMut<MaybeUninit<T>, R, C>,
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@ -237,6 +237,10 @@ impl<'a, T, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
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SliceStorageMut<'a, MaybeUninit<T>, R, C, RStride, CStride>
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{
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/// Assumes a slice storage's entries to be initialized. This operation should be near zero-cost.
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///
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/// # Safety
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/// The user must make sure that every single entry of the buffer has been initialized,
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/// or Undefined Behavior will immediately occur.
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pub unsafe fn assume_init(self) -> SliceStorageMut<'a, T, R, C, RStride, CStride> {
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SliceStorageMut::from_raw_parts(self.ptr as *mut T, self.shape, self.strides)
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}
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@ -30,9 +30,9 @@ use abomonation::Abomonation;
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/// A Vec-based matrix data storage. It may be dynamically-sized.
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#[derive(Eq, Debug, Clone, PartialEq)]
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pub struct VecStorage<T, R: Dim, C: Dim> {
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pub(crate) data: Vec<T>,
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pub(crate) nrows: R,
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pub(crate) ncols: C,
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data: Vec<T>,
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nrows: R,
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ncols: C,
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}
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#[cfg(feature = "serde-serialize")]
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@ -193,7 +193,8 @@ where
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#[inline]
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fn clone_owned(&self) -> Owned<T, Dynamic, C>
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where T:Clone,
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where
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T: Clone,
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DefaultAllocator: InnerAllocator<T, Dynamic, C>,
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{
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self.clone()
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@ -242,7 +243,8 @@ where
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#[inline]
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fn clone_owned(&self) -> Owned<T, R, Dynamic>
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where T:Clone,
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where
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T: Clone,
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DefaultAllocator: InnerAllocator<T, R, Dynamic>,
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{
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self.clone()
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@ -413,7 +415,7 @@ impl<'a, T: 'a + Copy, R: Dim> Extend<&'a T> for VecStorage<T, R, Dynamic> {
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}
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}
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impl<T:Clone, R: Dim, RV: Dim, SV> Extend<Vector<T, RV, SV>> for VecStorage<T, R, Dynamic>
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impl<T: Clone, R: Dim, RV: Dim, SV> Extend<Vector<T, RV, SV>> for VecStorage<T, R, Dynamic>
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where
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SV: Storage<T, RV>,
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ShapeConstraint: SameNumberOfRows<R, RV>,
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@ -1,7 +1,5 @@
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use std::fmt;
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#[cfg(feature = "arbitrary")]
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use crate::base::storage::Owned;
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#[cfg(feature = "arbitrary")]
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use quickcheck::{Arbitrary, Gen};
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@ -1,7 +1,5 @@
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use std::fmt;
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#[cfg(feature = "arbitrary")]
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use crate::base::storage::Owned;
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#[cfg(feature = "arbitrary")]
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use quickcheck::{Arbitrary, Gen};
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@ -108,7 +108,7 @@ where
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impl<T: Serialize, D: DimName> Serialize for OPoint<T, D>
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where
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DefaultAllocator: Allocator<T, D>,
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<DefaultAllocator as Allocator<T, D>>::Buffer: Serialize,
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<DefaultAllocator as InnerAllocator<T, D>>::Buffer: Serialize,
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{
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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where
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@ -122,7 +122,7 @@ where
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impl<'a, T: Deserialize<'a>, D: DimName> Deserialize<'a> for OPoint<T, D>
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where
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DefaultAllocator: Allocator<T, D>,
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<DefaultAllocator as Allocator<T, D>>::Buffer: Deserialize<'a>,
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<DefaultAllocator as InnerAllocator<T, D>>::Buffer: Deserialize<'a>,
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{
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fn deserialize<Des>(deserializer: Des) -> Result<Self, Des::Error>
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where
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@ -1,11 +1,16 @@
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//! This module provides the matrix exponent (exp) function to square matrices.
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//!
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use crate::{ComplexField, OMatrix, RealField, base::{
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use crate::{
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base::{
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allocator::Allocator,
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dimension::{Const, Dim, DimMin, DimMinimum},
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storage::Storage,
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DefaultAllocator,
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}, convert, storage::Owned, try_convert};
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},
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convert,
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storage::Owned,
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try_convert, ComplexField, OMatrix, RealField,
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};
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use crate::num::Zero;
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@ -327,15 +327,10 @@ where
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D: Dim,
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DefaultAllocator: Allocator<ScalarStrategy::Value, D>,
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{
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matrix_(value_strategy, length.into(), U1.into())
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matrix_(value_strategy, length.into(), Const::<1>.into())
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}
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impl<NParameters, R, C> Default for MatrixParameters<NParameters, R, C>
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where
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NParameters: Default,
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R: DimName,
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C: DimName,
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{
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impl<NParameters: Default, R: DimName, C: DimName> Default for MatrixParameters<NParameters, R, C> {
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fn default() -> Self {
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Self {
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rows: DimRange::from(R::name()),
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@ -474,7 +474,7 @@ where
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{
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// Size = R
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let nrows = self.data.shape().0;
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let mut workspace = Matrix::new_uninitialized_generic(nrows, Const::<1>);
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let mut workspace = CsMatrix::new_uninitialized_generic(nrows, Const::<1>);
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self.sort_with_workspace(workspace.as_mut_slice());
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}
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