2018-07-20 21:25:55 +08:00
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#[cfg(feature = "abomonation-serialize")]
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use std::io::{Result as IOResult, Write};
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2016-12-05 05:44:42 +08:00
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2018-05-24 23:17:34 +08:00
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#[cfg(all(feature = "alloc", not(feature = "std")))]
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2018-07-20 22:10:12 +08:00
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use alloc::vec::Vec;
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2018-05-24 23:17:34 +08:00
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2019-03-23 21:29:07 +08:00
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use crate::base::allocator::Allocator;
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2020-04-06 00:49:48 +08:00
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use crate::base::constraint::{SameNumberOfRows, ShapeConstraint};
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2019-03-23 21:29:07 +08:00
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use crate::base::default_allocator::DefaultAllocator;
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use crate::base::dimension::{Dim, DimName, Dynamic, U1};
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2020-08-19 13:52:26 +08:00
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use crate::base::storage::{
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ContiguousStorage, ContiguousStorageMut, Owned, ReshapableStorage, Storage, StorageMut,
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};
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2019-03-23 21:29:07 +08:00
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use crate::base::{Scalar, Vector};
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2016-12-05 05:44:42 +08:00
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2021-05-07 00:15:49 +08:00
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#[cfg(feature = "serde-serialize-no-std")]
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use serde::{
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de::{Deserialize, Deserializer, Error},
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ser::{Serialize, Serializer},
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};
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2017-08-14 18:30:50 +08:00
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#[cfg(feature = "abomonation-serialize")]
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use abomonation::Abomonation;
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2016-12-05 05:44:42 +08:00
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/*
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*
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* Storage.
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*
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*/
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/// A Vec-based matrix data storage. It may be dynamically-sized.
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#[repr(C)]
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2017-02-16 05:04:34 +08:00
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#[derive(Eq, Debug, Clone, PartialEq)]
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2021-04-11 17:00:38 +08:00
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pub struct VecStorage<T, R: Dim, C: Dim> {
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data: Vec<T>,
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2018-02-02 19:26:35 +08:00
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nrows: R,
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ncols: C,
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2016-12-05 05:44:42 +08:00
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}
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2021-05-07 00:15:49 +08:00
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#[cfg(feature = "serde-serialize")]
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impl<T, R: Dim, C: Dim> Serialize for VecStorage<T, R, C>
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where
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T: Serialize,
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R: Serialize,
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C: Serialize,
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{
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fn serialize<Ser>(&self, serializer: Ser) -> Result<Ser::Ok, Ser::Error>
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where
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Ser: Serializer,
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{
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(&self.data, &self.nrows, &self.ncols).serialize(serializer)
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}
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}
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#[cfg(feature = "serde-serialize")]
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impl<'a, T, R: Dim, C: Dim> Deserialize<'a> for VecStorage<T, R, C>
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where
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T: Deserialize<'a>,
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R: Deserialize<'a>,
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C: 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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Des: Deserializer<'a>,
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{
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let (data, nrows, ncols): (Vec<T>, R, C) = Deserialize::deserialize(deserializer)?;
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// SAFETY: make sure the data we deserialize have the
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// correct number of elements.
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if nrows.value() * ncols.value() != data.len() {
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return Err(Des::Error::custom(format!(
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"Expected {} components, found {}",
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nrows.value() * ncols.value(),
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data.len()
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)));
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}
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Ok(Self { data, nrows, ncols })
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}
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}
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2020-04-06 00:49:48 +08:00
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#[deprecated(note = "renamed to `VecStorage`")]
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2018-12-06 05:46:17 +08:00
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/// Renamed to [VecStorage].
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2021-04-11 17:00:38 +08:00
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pub type MatrixVec<T, R, C> = VecStorage<T, R, C>;
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2018-12-06 05:46:17 +08:00
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2021-04-11 17:00:38 +08:00
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impl<T, R: Dim, C: Dim> VecStorage<T, R, C> {
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2017-02-13 01:17:09 +08:00
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/// Creates a new dynamic matrix data storage from the given vector and shape.
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2016-12-05 05:44:42 +08:00
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#[inline]
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2021-04-11 17:00:38 +08:00
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pub fn new(nrows: R, ncols: C, data: Vec<T>) -> Self {
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2018-02-02 19:26:35 +08:00
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assert!(
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nrows.value() * ncols.value() == data.len(),
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"Data storage buffer dimension mismatch."
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);
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2020-10-11 16:57:26 +08:00
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Self { data, nrows, ncols }
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2016-12-05 05:44:42 +08:00
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}
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/// The underlying data storage.
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#[inline]
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2021-04-11 17:00:38 +08:00
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pub fn as_vec(&self) -> &Vec<T> {
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2016-12-05 05:44:42 +08:00
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&self.data
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}
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/// The underlying mutable data storage.
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///
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2019-02-03 18:47:23 +08:00
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/// This is unsafe because this may cause UB if the size of the vector is changed
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/// by the user.
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2016-12-05 05:44:42 +08:00
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#[inline]
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2021-04-11 17:00:38 +08:00
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pub unsafe fn as_vec_mut(&mut self) -> &mut Vec<T> {
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2016-12-05 05:44:42 +08:00
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&mut self.data
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}
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2017-08-03 01:37:44 +08:00
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2018-09-24 12:48:42 +08:00
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/// Resizes the underlying mutable data storage and unwraps it.
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2017-08-03 01:37:44 +08:00
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///
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/// If `sz` is larger than the current size, additional elements are uninitialized.
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2018-09-24 12:48:42 +08:00
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/// If `sz` is smaller than the current size, additional elements are truncated.
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2017-08-03 01:37:44 +08:00
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#[inline]
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2021-04-11 17:00:38 +08:00
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pub unsafe fn resize(mut self, sz: usize) -> Vec<T> {
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2017-08-03 01:37:44 +08:00
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let len = self.len();
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if sz < len {
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self.data.set_len(sz);
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self.data.shrink_to_fit();
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2018-02-02 19:26:35 +08:00
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} else {
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2017-08-03 01:37:44 +08:00
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self.data.reserve_exact(sz - len);
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self.data.set_len(sz);
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}
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self.data
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}
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2016-12-05 05:44:42 +08:00
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2018-09-13 11:45:14 +08:00
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/// The number of elements on the underlying vector.
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2016-12-05 05:44:42 +08:00
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#[inline]
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2018-09-13 11:45:14 +08:00
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pub fn len(&self) -> usize {
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self.data.len()
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2016-12-05 05:44:42 +08:00
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}
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2020-11-19 19:24:26 +08:00
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/// Returns true if the underlying vector contains no elements.
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#[inline]
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pub fn is_empty(&self) -> bool {
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self.len() == 0
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}
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2016-12-05 05:44:42 +08:00
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}
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2021-04-11 17:00:38 +08:00
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impl<T, R: Dim, C: Dim> Into<Vec<T>> for VecStorage<T, R, C> {
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fn into(self) -> Vec<T> {
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2018-11-21 06:44:29 +08:00
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self.data
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}
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}
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2016-12-05 05:44:42 +08:00
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/*
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*
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* Dynamic − Static
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* Dynamic − Dynamic
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*
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*/
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2021-04-11 17:00:38 +08:00
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unsafe impl<T: Scalar, C: Dim> Storage<T, Dynamic, C> for VecStorage<T, Dynamic, C>
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2020-04-06 00:49:48 +08:00
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where
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2021-04-11 17:00:38 +08:00
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DefaultAllocator: Allocator<T, Dynamic, C, Buffer = Self>,
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2018-02-02 19:26:35 +08:00
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{
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2016-12-05 05:44:42 +08:00
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type RStride = U1;
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type CStride = Dynamic;
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn ptr(&self) -> *const T {
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2017-08-03 01:37:44 +08:00
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self.data.as_ptr()
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2016-12-05 05:44:42 +08:00
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}
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#[inline]
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fn shape(&self) -> (Dynamic, C) {
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(self.nrows, self.ncols)
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}
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#[inline]
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fn strides(&self) -> (Self::RStride, Self::CStride) {
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(Self::RStride::name(), self.nrows)
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}
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2017-08-03 01:37:44 +08:00
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#[inline]
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fn is_contiguous(&self) -> bool {
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true
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}
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2016-12-05 05:44:42 +08:00
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn into_owned(self) -> Owned<T, Dynamic, C>
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2020-04-06 00:49:48 +08:00
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where
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2021-04-11 17:00:38 +08:00
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DefaultAllocator: Allocator<T, Dynamic, C>,
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2020-04-06 00:49:48 +08:00
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{
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2016-12-05 05:44:42 +08:00
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self
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}
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn clone_owned(&self) -> Owned<T, Dynamic, C>
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2020-04-06 00:49:48 +08:00
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where
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2021-04-11 17:00:38 +08:00
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DefaultAllocator: Allocator<T, Dynamic, C>,
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2020-04-06 00:49:48 +08:00
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{
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2016-12-05 05:44:42 +08:00
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self.clone()
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}
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2017-08-03 01:37:44 +08:00
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn as_slice(&self) -> &[T] {
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2018-09-13 11:45:14 +08:00
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&self.data
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2017-08-03 01:37:44 +08:00
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}
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}
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2021-04-11 17:00:38 +08:00
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unsafe impl<T: Scalar, R: DimName> Storage<T, R, Dynamic> for VecStorage<T, R, Dynamic>
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2020-04-06 00:49:48 +08:00
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where
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2021-04-11 17:00:38 +08:00
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DefaultAllocator: Allocator<T, R, Dynamic, Buffer = Self>,
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2018-02-02 19:26:35 +08:00
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{
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2017-08-03 01:37:44 +08:00
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type RStride = U1;
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type CStride = R;
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2016-12-05 05:44:42 +08:00
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn ptr(&self) -> *const T {
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2017-08-03 01:37:44 +08:00
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self.data.as_ptr()
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2016-12-05 05:44:42 +08:00
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}
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#[inline]
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fn shape(&self) -> (R, Dynamic) {
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(self.nrows, self.ncols)
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}
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#[inline]
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fn strides(&self) -> (Self::RStride, Self::CStride) {
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(Self::RStride::name(), self.nrows)
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}
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2017-08-03 01:37:44 +08:00
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#[inline]
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fn is_contiguous(&self) -> bool {
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true
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}
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn into_owned(self) -> Owned<T, R, Dynamic>
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2020-04-06 00:49:48 +08:00
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where
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2021-04-11 17:00:38 +08:00
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DefaultAllocator: Allocator<T, R, Dynamic>,
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2020-04-06 00:49:48 +08:00
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{
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2017-08-03 01:37:44 +08:00
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self
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}
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn clone_owned(&self) -> Owned<T, R, Dynamic>
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2020-04-06 00:49:48 +08:00
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where
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2021-04-11 17:00:38 +08:00
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DefaultAllocator: Allocator<T, R, Dynamic>,
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2020-04-06 00:49:48 +08:00
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{
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2017-08-03 01:37:44 +08:00
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self.clone()
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}
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn as_slice(&self) -> &[T] {
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2018-09-13 11:45:14 +08:00
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&self.data
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2017-08-03 01:37:44 +08:00
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}
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2016-12-05 05:44:42 +08:00
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}
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/*
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*
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2017-08-03 01:37:44 +08:00
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* StorageMut, ContiguousStorage.
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2016-12-05 05:44:42 +08:00
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*
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*/
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2021-04-11 17:00:38 +08:00
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unsafe impl<T: Scalar, C: Dim> StorageMut<T, Dynamic, C> for VecStorage<T, Dynamic, C>
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2020-04-06 00:49:48 +08:00
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where
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2021-04-11 17:00:38 +08:00
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DefaultAllocator: Allocator<T, Dynamic, C, Buffer = Self>,
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2018-02-02 19:26:35 +08:00
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{
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2016-12-05 05:44:42 +08:00
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn ptr_mut(&mut self) -> *mut T {
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2017-08-03 01:37:44 +08:00
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self.data.as_mut_ptr()
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2016-12-05 05:44:42 +08:00
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}
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#[inline]
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2021-04-11 17:00:38 +08:00
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fn as_mut_slice(&mut self) -> &mut [T] {
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2016-12-05 05:44:42 +08:00
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&mut self.data[..]
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|
}
|
|
|
|
|
}
|
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
unsafe impl<T: Scalar, C: Dim> ContiguousStorage<T, Dynamic, C> for VecStorage<T, Dynamic, C> where
|
|
|
|
|
DefaultAllocator: Allocator<T, Dynamic, C, Buffer = Self>
|
2020-04-06 00:49:48 +08:00
|
|
|
|
{
|
|
|
|
|
}
|
2016-12-05 05:44:42 +08:00
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
unsafe impl<T: Scalar, C: Dim> ContiguousStorageMut<T, Dynamic, C> for VecStorage<T, Dynamic, C> where
|
|
|
|
|
DefaultAllocator: Allocator<T, Dynamic, C, Buffer = Self>
|
2020-04-06 00:49:48 +08:00
|
|
|
|
{
|
|
|
|
|
}
|
2016-12-05 05:44:42 +08:00
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<T, C1, C2> ReshapableStorage<T, Dynamic, C1, Dynamic, C2> for VecStorage<T, Dynamic, C1>
|
2020-08-19 13:52:26 +08:00
|
|
|
|
where
|
2021-04-11 17:00:38 +08:00
|
|
|
|
T: Scalar,
|
2020-08-19 13:52:26 +08:00
|
|
|
|
C1: Dim,
|
|
|
|
|
C2: Dim,
|
|
|
|
|
{
|
2021-04-11 17:00:38 +08:00
|
|
|
|
type Output = VecStorage<T, Dynamic, C2>;
|
2020-08-19 13:52:26 +08:00
|
|
|
|
|
|
|
|
|
fn reshape_generic(self, nrows: Dynamic, ncols: C2) -> Self::Output {
|
|
|
|
|
assert_eq!(nrows.value() * ncols.value(), self.data.len());
|
|
|
|
|
VecStorage {
|
|
|
|
|
data: self.data,
|
|
|
|
|
nrows,
|
|
|
|
|
ncols,
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<T, C1, R2> ReshapableStorage<T, Dynamic, C1, R2, Dynamic> for VecStorage<T, Dynamic, C1>
|
2020-08-19 13:52:26 +08:00
|
|
|
|
where
|
2021-04-11 17:00:38 +08:00
|
|
|
|
T: Scalar,
|
2020-08-19 13:52:26 +08:00
|
|
|
|
C1: Dim,
|
|
|
|
|
R2: DimName,
|
|
|
|
|
{
|
2021-04-11 17:00:38 +08:00
|
|
|
|
type Output = VecStorage<T, R2, Dynamic>;
|
2020-08-19 13:52:26 +08:00
|
|
|
|
|
|
|
|
|
fn reshape_generic(self, nrows: R2, ncols: Dynamic) -> Self::Output {
|
|
|
|
|
assert_eq!(nrows.value() * ncols.value(), self.data.len());
|
|
|
|
|
VecStorage {
|
|
|
|
|
data: self.data,
|
|
|
|
|
nrows,
|
|
|
|
|
ncols,
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
unsafe impl<T: Scalar, R: DimName> StorageMut<T, R, Dynamic> for VecStorage<T, R, Dynamic>
|
2020-04-06 00:49:48 +08:00
|
|
|
|
where
|
2021-04-11 17:00:38 +08:00
|
|
|
|
DefaultAllocator: Allocator<T, R, Dynamic, Buffer = Self>,
|
2018-02-02 19:26:35 +08:00
|
|
|
|
{
|
2016-12-05 05:44:42 +08:00
|
|
|
|
#[inline]
|
2021-04-11 17:00:38 +08:00
|
|
|
|
fn ptr_mut(&mut self) -> *mut T {
|
2017-08-03 01:37:44 +08:00
|
|
|
|
self.data.as_mut_ptr()
|
2016-12-05 05:44:42 +08:00
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
#[inline]
|
2021-04-11 17:00:38 +08:00
|
|
|
|
fn as_mut_slice(&mut self) -> &mut [T] {
|
2016-12-05 05:44:42 +08:00
|
|
|
|
&mut self.data[..]
|
|
|
|
|
}
|
|
|
|
|
}
|
2017-08-14 18:30:50 +08:00
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<T, R1, C2> ReshapableStorage<T, R1, Dynamic, Dynamic, C2> for VecStorage<T, R1, Dynamic>
|
2020-08-19 13:52:26 +08:00
|
|
|
|
where
|
2021-04-11 17:00:38 +08:00
|
|
|
|
T: Scalar,
|
2020-08-19 13:52:26 +08:00
|
|
|
|
R1: DimName,
|
|
|
|
|
C2: Dim,
|
|
|
|
|
{
|
2021-04-11 17:00:38 +08:00
|
|
|
|
type Output = VecStorage<T, Dynamic, C2>;
|
2020-08-19 13:52:26 +08:00
|
|
|
|
|
|
|
|
|
fn reshape_generic(self, nrows: Dynamic, ncols: C2) -> Self::Output {
|
|
|
|
|
assert_eq!(nrows.value() * ncols.value(), self.data.len());
|
|
|
|
|
VecStorage {
|
|
|
|
|
data: self.data,
|
|
|
|
|
nrows,
|
|
|
|
|
ncols,
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<T, R1, R2> ReshapableStorage<T, R1, Dynamic, R2, Dynamic> for VecStorage<T, R1, Dynamic>
|
2020-08-19 13:52:26 +08:00
|
|
|
|
where
|
2021-04-11 17:00:38 +08:00
|
|
|
|
T: Scalar,
|
2020-08-19 13:52:26 +08:00
|
|
|
|
R1: DimName,
|
|
|
|
|
R2: DimName,
|
|
|
|
|
{
|
2021-04-11 17:00:38 +08:00
|
|
|
|
type Output = VecStorage<T, R2, Dynamic>;
|
2020-08-19 13:52:26 +08:00
|
|
|
|
|
|
|
|
|
fn reshape_generic(self, nrows: R2, ncols: Dynamic) -> Self::Output {
|
|
|
|
|
assert_eq!(nrows.value() * ncols.value(), self.data.len());
|
|
|
|
|
VecStorage {
|
|
|
|
|
data: self.data,
|
|
|
|
|
nrows,
|
|
|
|
|
ncols,
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2017-08-14 18:30:50 +08:00
|
|
|
|
#[cfg(feature = "abomonation-serialize")]
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<T: Abomonation, R: Dim, C: Dim> Abomonation for VecStorage<T, R, C> {
|
2018-07-20 21:25:55 +08:00
|
|
|
|
unsafe fn entomb<W: Write>(&self, writer: &mut W) -> IOResult<()> {
|
2017-08-14 18:30:50 +08:00
|
|
|
|
self.data.entomb(writer)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
unsafe fn exhume<'a, 'b>(&'a mut self, bytes: &'b mut [u8]) -> Option<&'b mut [u8]> {
|
|
|
|
|
self.data.exhume(bytes)
|
|
|
|
|
}
|
2018-07-20 21:25:55 +08:00
|
|
|
|
|
|
|
|
|
fn extent(&self) -> usize {
|
|
|
|
|
self.data.extent()
|
|
|
|
|
}
|
2017-08-14 18:30:50 +08:00
|
|
|
|
}
|
2017-08-16 01:18:39 +08:00
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
unsafe impl<T: Scalar, R: DimName> ContiguousStorage<T, R, Dynamic> for VecStorage<T, R, Dynamic> where
|
|
|
|
|
DefaultAllocator: Allocator<T, R, Dynamic, Buffer = Self>
|
2020-04-06 00:49:48 +08:00
|
|
|
|
{
|
|
|
|
|
}
|
2018-11-11 07:02:52 +08:00
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
unsafe impl<T: Scalar, R: DimName> ContiguousStorageMut<T, R, Dynamic> for VecStorage<T, R, Dynamic> where
|
|
|
|
|
DefaultAllocator: Allocator<T, R, Dynamic, Buffer = Self>
|
2018-11-11 07:02:52 +08:00
|
|
|
|
{
|
2020-04-06 00:49:48 +08:00
|
|
|
|
}
|
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<T, R: Dim> Extend<T> for VecStorage<T, R, Dynamic> {
|
2018-12-06 05:46:17 +08:00
|
|
|
|
/// Extends the number of columns of the `VecStorage` with elements
|
2018-11-11 07:02:52 +08:00
|
|
|
|
/// from the given iterator.
|
|
|
|
|
///
|
|
|
|
|
/// # Panics
|
|
|
|
|
/// This function panics if the number of elements yielded by the
|
|
|
|
|
/// given iterator is not a multiple of the number of rows of the
|
2018-12-06 05:46:17 +08:00
|
|
|
|
/// `VecStorage`.
|
2021-04-11 17:00:38 +08:00
|
|
|
|
fn extend<I: IntoIterator<Item = T>>(&mut self, iter: I) {
|
2018-11-11 07:02:52 +08:00
|
|
|
|
self.data.extend(iter);
|
|
|
|
|
self.ncols = Dynamic::new(self.data.len() / self.nrows.value());
|
|
|
|
|
assert!(self.data.len() % self.nrows.value() == 0,
|
|
|
|
|
"The number of elements produced by the given iterator was not a multiple of the number of rows.");
|
|
|
|
|
}
|
|
|
|
|
}
|
2018-11-13 02:53:30 +08:00
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<'a, T: 'a + Copy, R: Dim> Extend<&'a T> for VecStorage<T, R, Dynamic> {
|
2019-11-29 22:31:52 +08:00
|
|
|
|
/// Extends the number of columns of the `VecStorage` with elements
|
|
|
|
|
/// from the given iterator.
|
|
|
|
|
///
|
|
|
|
|
/// # Panics
|
|
|
|
|
/// This function panics if the number of elements yielded by the
|
|
|
|
|
/// given iterator is not a multiple of the number of rows of the
|
|
|
|
|
/// `VecStorage`.
|
2021-04-11 17:00:38 +08:00
|
|
|
|
fn extend<I: IntoIterator<Item = &'a T>>(&mut self, iter: I) {
|
2019-11-29 22:31:52 +08:00
|
|
|
|
self.extend(iter.into_iter().copied())
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<T, R, RV, SV> Extend<Vector<T, RV, SV>> for VecStorage<T, R, Dynamic>
|
2018-11-14 05:17:00 +08:00
|
|
|
|
where
|
2021-04-11 17:00:38 +08:00
|
|
|
|
T: Scalar,
|
2018-11-14 05:17:00 +08:00
|
|
|
|
R: Dim,
|
|
|
|
|
RV: Dim,
|
2021-04-11 17:00:38 +08:00
|
|
|
|
SV: Storage<T, RV>,
|
2018-11-18 01:13:03 +08:00
|
|
|
|
ShapeConstraint: SameNumberOfRows<R, RV>,
|
2018-11-14 05:17:00 +08:00
|
|
|
|
{
|
2018-12-06 05:46:17 +08:00
|
|
|
|
/// Extends the number of columns of the `VecStorage` with vectors
|
2018-11-14 05:17:00 +08:00
|
|
|
|
/// from the given iterator.
|
|
|
|
|
///
|
|
|
|
|
/// # Panics
|
|
|
|
|
/// This function panics if the number of rows of each `Vector`
|
|
|
|
|
/// yielded by the iterator is not equal to the number of rows
|
2018-12-06 05:46:17 +08:00
|
|
|
|
/// of this `VecStorage`.
|
2021-04-11 17:00:38 +08:00
|
|
|
|
fn extend<I: IntoIterator<Item = Vector<T, RV, SV>>>(&mut self, iter: I) {
|
2018-11-14 05:17:00 +08:00
|
|
|
|
let nrows = self.nrows.value();
|
|
|
|
|
let iter = iter.into_iter();
|
|
|
|
|
let (lower, _upper) = iter.size_hint();
|
|
|
|
|
self.data.reserve(nrows * lower);
|
|
|
|
|
for vector in iter {
|
|
|
|
|
assert_eq!(nrows, vector.shape().0);
|
2019-12-06 06:54:17 +08:00
|
|
|
|
self.data.extend(vector.iter().cloned());
|
2018-11-14 05:17:00 +08:00
|
|
|
|
}
|
|
|
|
|
self.ncols = Dynamic::new(self.data.len() / nrows);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2021-04-11 17:00:38 +08:00
|
|
|
|
impl<T> Extend<T> for VecStorage<T, Dynamic, U1> {
|
2018-12-06 05:46:17 +08:00
|
|
|
|
/// Extends the number of rows of the `VecStorage` with elements
|
2018-11-13 02:53:30 +08:00
|
|
|
|
/// from the given iterator.
|
2021-04-11 17:00:38 +08:00
|
|
|
|
fn extend<I: IntoIterator<Item = T>>(&mut self, iter: I) {
|
2018-11-13 02:53:30 +08:00
|
|
|
|
self.data.extend(iter);
|
|
|
|
|
self.nrows = Dynamic::new(self.data.len());
|
|
|
|
|
}
|
|
|
|
|
}
|