1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
//! Abstract definition of a matrix data storage.

use std::ptr;

use crate::base::allocator::{Allocator, SameShapeC, SameShapeR};
use crate::base::default_allocator::DefaultAllocator;
use crate::base::dimension::{Dim, U1};
use crate::base::Scalar;

/*
 * Aliases for allocation results.
 */
/// The data storage for the sum of two matrices with dimensions `(R1, C1)` and `(R2, C2)`.
pub type SameShapeStorage<T, R1, C1, R2, C2> =
    <DefaultAllocator as Allocator<T, SameShapeR<R1, R2>, SameShapeC<C1, C2>>>::Buffer;

// TODO: better name than Owned ?
/// The owned data storage that can be allocated from `S`.
pub type Owned<T, R, C = U1> = <DefaultAllocator as Allocator<T, R, C>>::Buffer;

/// The owned data storage that can be allocated from `S`.
pub type OwnedUninit<T, R, C = U1> = <DefaultAllocator as Allocator<T, R, C>>::BufferUninit;

/// The row-stride of the owned data storage for a buffer of dimension `(R, C)`.
pub type RStride<T, R, C = U1> =
    <<DefaultAllocator as Allocator<T, R, C>>::Buffer as RawStorage<T, R, C>>::RStride;

/// The column-stride of the owned data storage for a buffer of dimension `(R, C)`.
pub type CStride<T, R, C = U1> =
    <<DefaultAllocator as Allocator<T, R, C>>::Buffer as RawStorage<T, R, C>>::CStride;

/// The trait shared by all matrix data storage.
///
/// TODO: doc
/// In generic code, it is recommended use the `Storage` trait bound instead. The `RawStorage`
/// trait bound is generally used by code that needs to work with storages that contains
/// `MaybeUninit<T>` elements.
///
/// Note that `Self` must always have a number of elements compatible with the matrix length (given
/// by `R` and `C` if they are known at compile-time). For example, implementors of this trait
/// should **not** allow the user to modify the size of the underlying buffer with safe methods
/// (for example the `VecStorage::data_mut` method is unsafe because the user could change the
/// vector's size so that it no longer contains enough elements: this will lead to UB.
pub unsafe trait RawStorage<T, R: Dim, C: Dim = U1>: Sized {
    /// The static stride of this storage's rows.
    type RStride: Dim;

    /// The static stride of this storage's columns.
    type CStride: Dim;

    /// The matrix data pointer.
    fn ptr(&self) -> *const T;

    /// The dimension of the matrix at run-time. Arr length of zero indicates the additive identity
    /// element of any dimension. Must be equal to `Self::dimension()` if it is not `None`.
    fn shape(&self) -> (R, C);

    /// The spacing between consecutive row elements and consecutive column elements.
    ///
    /// For example this returns `(1, 5)` for a row-major matrix with 5 columns.
    fn strides(&self) -> (Self::RStride, Self::CStride);

    /// Compute the index corresponding to the irow-th row and icol-th column of this matrix. The
    /// index must be such that the following holds:
    ///
    /// ```ignore
    /// let lindex = self.linear_index(irow, icol);
    /// assert!(*self.get_unchecked(irow, icol) == *self.get_unchecked_linear(lindex))
    /// ```
    #[inline]
    fn linear_index(&self, irow: usize, icol: usize) -> usize {
        let (rstride, cstride) = self.strides();

        irow * rstride.value() + icol * cstride.value()
    }

    /// Gets the address of the i-th matrix component without performing bound-checking.
    ///
    /// # Safety
    /// If the index is out of bounds, dereferencing the result will cause undefined behavior.
    #[inline]
    fn get_address_unchecked_linear(&self, i: usize) -> *const T {
        self.ptr().wrapping_add(i)
    }

    /// Gets the address of the i-th matrix component without performing bound-checking.
    ///
    /// # Safety
    /// If the index is out of bounds, dereferencing the result will cause undefined behavior.
    #[inline]
    fn get_address_unchecked(&self, irow: usize, icol: usize) -> *const T {
        self.get_address_unchecked_linear(self.linear_index(irow, icol))
    }

    /// Retrieves a reference to the i-th element without bound-checking.
    ///
    /// # Safety
    /// If the index is out of bounds, the method will cause undefined behavior.
    #[inline]
    unsafe fn get_unchecked_linear(&self, i: usize) -> &T {
        &*self.get_address_unchecked_linear(i)
    }

    /// Retrieves a reference to the i-th element without bound-checking.
    ///
    /// # Safety
    /// If the index is out of bounds, the method will cause undefined behavior.
    #[inline]
    unsafe fn get_unchecked(&self, irow: usize, icol: usize) -> &T {
        self.get_unchecked_linear(self.linear_index(irow, icol))
    }

    /// Indicates whether this data buffer stores its elements contiguously.
    ///
    /// # Safety
    /// This function must not return `true` if the underlying storage is not contiguous,
    /// or undefined behaviour will occur.
    fn is_contiguous(&self) -> bool;

    /// Retrieves the data buffer as a contiguous slice.
    ///
    /// # Safety
    /// The matrix components may not be stored in a contiguous way, depending on the strides.
    /// This method is unsafe because this can yield to invalid aliasing when called on some pairs
    /// of matrix slices originating from the same matrix with strides.
    ///
    /// Call the safe alternative `matrix.as_slice()` instead.
    unsafe fn as_slice_unchecked(&self) -> &[T];
}

/// Trait shared by all matrix data storage that don’t contain any uninitialized elements.
pub unsafe trait Storage<T, R: Dim, C: Dim = U1>: RawStorage<T, R, C> {
    /// Builds a matrix data storage that does not contain any reference.
    fn into_owned(self) -> Owned<T, R, C>
    where
        DefaultAllocator: Allocator<T, R, C>;

    /// Clones this data storage to one that does not contain any reference.
    fn clone_owned(&self) -> Owned<T, R, C>
    where
        DefaultAllocator: Allocator<T, R, C>;
}

/// Trait implemented by matrix data storage that can provide a mutable access to its elements.
///
/// In generic code, it is recommended use the `StorageMut` trait bound instead. The
/// `RawStorageMut` trait bound is generally used by code that needs to work with storages that
/// contains `MaybeUninit<T>` elements.
///
/// Note that a mutable access does not mean that the matrix owns its data. For example, a mutable
/// matrix slice can provide mutable access to its elements even if it does not own its data (it
/// contains only an internal reference to them).
pub unsafe trait RawStorageMut<T, R: Dim, C: Dim = U1>: RawStorage<T, R, C> {
    /// The matrix mutable data pointer.
    fn ptr_mut(&mut self) -> *mut T;

    /// Gets the mutable address of the i-th matrix component without performing bound-checking.
    ///
    /// # Safety
    /// If the index is out of bounds, dereferencing the result will cause undefined behavior.
    #[inline]
    fn get_address_unchecked_linear_mut(&mut self, i: usize) -> *mut T {
        self.ptr_mut().wrapping_add(i)
    }

    /// Gets the mutable address of the i-th matrix component without performing bound-checking.
    ///
    /// # Safety
    /// If the index is out of bounds, dereferencing the result will cause undefined behavior.
    #[inline]
    fn get_address_unchecked_mut(&mut self, irow: usize, icol: usize) -> *mut T {
        let lid = self.linear_index(irow, icol);
        self.get_address_unchecked_linear_mut(lid)
    }

    /// Retrieves a mutable reference to the i-th element without bound-checking.
    ///
    /// # Safety
    /// If the index is out of bounds, the method will cause undefined behavior.
    unsafe fn get_unchecked_linear_mut(&mut self, i: usize) -> &mut T {
        &mut *self.get_address_unchecked_linear_mut(i)
    }

    /// Retrieves a mutable reference to the element at `(irow, icol)` without bound-checking.
    ///
    /// # Safety
    /// If the index is out of bounds, the method will cause undefined behavior.
    #[inline]
    unsafe fn get_unchecked_mut(&mut self, irow: usize, icol: usize) -> &mut T {
        &mut *self.get_address_unchecked_mut(irow, icol)
    }

    /// Swaps two elements using their linear index without bound-checking.
    ///
    /// # Safety
    /// If the indices are out of bounds, the method will cause undefined behavior.
    #[inline]
    unsafe fn swap_unchecked_linear(&mut self, i1: usize, i2: usize) {
        let a = self.get_address_unchecked_linear_mut(i1);
        let b = self.get_address_unchecked_linear_mut(i2);

        ptr::swap(a, b);
    }

    /// Swaps two elements without bound-checking.
    ///
    /// # Safety
    /// If the indices are out of bounds, the method will cause undefined behavior.
    #[inline]
    unsafe fn swap_unchecked(&mut self, row_col1: (usize, usize), row_col2: (usize, usize)) {
        let lid1 = self.linear_index(row_col1.0, row_col1.1);
        let lid2 = self.linear_index(row_col2.0, row_col2.1);

        self.swap_unchecked_linear(lid1, lid2)
    }

    /// Retrieves the mutable data buffer as a contiguous slice.
    ///
    /// Matrix components may not be contiguous, depending on its strides.    
    ///
    /// # Safety
    /// The matrix components may not be stored in a contiguous way, depending on the strides.
    /// This method is unsafe because this can yield to invalid aliasing when called on some pairs
    /// of matrix slices originating from the same matrix with strides.
    unsafe fn as_mut_slice_unchecked(&mut self) -> &mut [T];
}

/// Trait shared by all mutable matrix data storage that don’t contain any uninitialized elements.
pub unsafe trait StorageMut<T, R: Dim, C: Dim = U1>:
    Storage<T, R, C> + RawStorageMut<T, R, C>
{
}

unsafe impl<S, T, R, C> StorageMut<T, R, C> for S
where
    R: Dim,
    C: Dim,
    S: Storage<T, R, C> + RawStorageMut<T, R, C>,
{
}

/// Marker trait indicating that a storage is stored contiguously in memory.
///
/// The storage requirement means that for any value of `i` in `[0, nrows * ncols - 1]`, the value
/// `.get_unchecked_linear` returns one of the matrix component. This trait is unsafe because
/// failing to comply to this may cause Undefined Behaviors.
pub unsafe trait IsContiguous {}

/// A matrix storage that can be reshaped in-place.
pub trait ReshapableStorage<T, R1, C1, R2, C2>: RawStorage<T, R1, C1>
where
    T: Scalar,
    R1: Dim,
    C1: Dim,
    R2: Dim,
    C2: Dim,
{
    /// The reshaped storage type.
    type Output: RawStorage<T, R2, C2>;

    /// Reshapes the storage into the output storage type.
    fn reshape_generic(self, nrows: R2, ncols: C2) -> Self::Output;
}