Skip to main content

numeris/dynmatrix/
vector.rs

1use alloc::vec::Vec;
2use core::ops::{Index, IndexMut};
3
4use crate::matrix::vector::Vector;
5use crate::traits::{MatrixMut, MatrixRef, Scalar};
6
7use super::DynMatrix;
8
9/// Dynamically-sized column vector (wraps an N×1 `DynMatrix`).
10///
11/// Matches the fixed-size `Vector<T, N>` = `Matrix<T, N, 1>` convention.
12/// Provides single-index access `v[i]`.
13///
14/// # Examples
15///
16/// ```
17/// use numeris::{DynVector, MatrixRef};
18///
19/// let v = DynVector::from_slice(&[1.0_f64, 2.0, 3.0]);
20/// assert_eq!(v[0], 1.0);
21/// assert_eq!(v.len(), 3);
22/// assert_eq!(v.nrows(), 3);
23/// assert_eq!(v.ncols(), 1);
24/// assert!((v.dot(&v) - 14.0).abs() < 1e-12);
25/// ```
26#[derive(Debug, Clone, PartialEq)]
27pub struct DynVector<T> {
28    pub(crate) inner: DynMatrix<T>,
29}
30
31impl<T: Scalar> DynVector<T> {
32    /// Create a vector from a flat slice.
33    ///
34    /// ```
35    /// use numeris::DynVector;
36    /// let v = DynVector::from_slice(&[1.0, 2.0, 3.0]);
37    /// assert_eq!(v[0], 1.0);
38    /// assert_eq!(v.len(), 3);
39    /// ```
40    pub fn from_slice(data: &[T]) -> Self {
41        Self {
42            inner: DynMatrix::from_slice(data.len(), 1, data),
43        }
44    }
45
46    /// Create a vector from an owned `Vec`.
47    ///
48    /// ```
49    /// use numeris::DynVector;
50    /// let v = DynVector::from_vec(vec![1.0, 2.0, 3.0]);
51    /// assert_eq!(v[2], 3.0);
52    /// ```
53    pub fn from_vec(data: Vec<T>) -> Self {
54        let n = data.len();
55        Self {
56            inner: DynMatrix::from_vec(n, 1, data),
57        }
58    }
59
60    /// Create a zero vector of length `n`.
61    ///
62    /// ```
63    /// use numeris::DynVector;
64    /// let v = DynVector::<f64>::zeros(4);
65    /// assert_eq!(v.len(), 4);
66    /// assert_eq!(v[3], 0.0);
67    /// ```
68    pub fn zeros(n: usize) -> Self {
69        Self {
70            inner: DynMatrix::zeros(n, 1),
71        }
72    }
73
74    /// Create a vector filled with a value.
75    pub fn fill(n: usize, value: T) -> Self {
76        Self {
77            inner: DynMatrix::fill(n, 1, value),
78        }
79    }
80
81    /// Number of elements.
82    #[inline]
83    pub fn len(&self) -> usize {
84        self.inner.nrows()
85    }
86
87    /// Whether the vector is empty.
88    #[inline]
89    pub fn is_empty(&self) -> bool {
90        self.len() == 0
91    }
92
93    /// Dot product.
94    ///
95    /// ```
96    /// use numeris::DynVector;
97    /// let a = DynVector::from_slice(&[1.0, 2.0, 3.0]);
98    /// let b = DynVector::from_slice(&[4.0, 5.0, 6.0]);
99    /// assert_eq!(a.dot(&b), 32.0);
100    /// ```
101    pub fn dot(&self, rhs: &Self) -> T {
102        assert_eq!(self.len(), rhs.len(), "vector length mismatch");
103        crate::simd::dot_dispatch(self.as_slice(), rhs.as_slice())
104    }
105
106    /// Cast every element to a different numeric type.
107    ///
108    /// ```
109    /// use numeris::DynVector;
110    /// let v = DynVector::from_slice(&[1.0_f64, 2.0, 3.0]);
111    /// let v32: DynVector<f32> = v.cast();
112    /// assert_eq!(v32[0], 1.0_f32);
113    /// ```
114    pub fn cast<U: Scalar + num_traits::NumCast>(&self) -> DynVector<U>
115    where
116        T: num_traits::ToPrimitive,
117    {
118        DynVector {
119            inner: self.inner.cast(),
120        }
121    }
122
123    /// View the vector data as a slice.
124    #[inline]
125    pub fn as_slice(&self) -> &[T] {
126        self.inner.as_slice()
127    }
128
129    /// View the vector data as a mutable slice.
130    #[inline]
131    pub fn as_mut_slice(&mut self) -> &mut [T] {
132        self.inner.as_mut_slice()
133    }
134}
135
136// ── Index ───────────────────────────────────────────────────────────
137
138impl<T> Index<usize> for DynVector<T> {
139    type Output = T;
140
141    #[inline]
142    fn index(&self, i: usize) -> &T {
143        &self.inner[(i, 0)]
144    }
145}
146
147impl<T> IndexMut<usize> for DynVector<T> {
148    #[inline]
149    fn index_mut(&mut self, i: usize) -> &mut T {
150        &mut self.inner[(i, 0)]
151    }
152}
153
154// ── MatrixRef / MatrixMut ───────────────────────────────────────────
155
156impl<T> MatrixRef<T> for DynVector<T> {
157    #[inline]
158    fn nrows(&self) -> usize {
159        self.inner.nrows()
160    }
161
162    #[inline]
163    fn ncols(&self) -> usize {
164        1
165    }
166
167    #[inline]
168    fn get(&self, row: usize, col: usize) -> &T {
169        self.inner.get(row, col)
170    }
171
172    #[inline]
173    fn col_as_slice(&self, col: usize, row_start: usize) -> &[T] {
174        self.inner.col_as_slice(col, row_start)
175    }
176}
177
178impl<T> MatrixMut<T> for DynVector<T> {
179    #[inline]
180    fn get_mut(&mut self, row: usize, col: usize) -> &mut T {
181        self.inner.get_mut(row, col)
182    }
183
184    #[inline]
185    fn col_as_mut_slice(&mut self, col: usize, row_start: usize) -> &mut [T] {
186        self.inner.col_as_mut_slice(col, row_start)
187    }
188}
189
190// ── Conversions: Vector ↔ DynVector ─────────────────────────────────
191
192impl<T: Scalar, const N: usize> From<Vector<T, N>> for DynVector<T> {
193    /// Convert a fixed-size `Vector` into a `DynVector`.
194    ///
195    /// ```
196    /// use numeris::{Vector, DynVector};
197    /// let v = Vector::from_array([1.0, 2.0, 3.0]);
198    /// let dv: DynVector<f64> = v.into();
199    /// assert_eq!(dv.len(), 3);
200    /// assert_eq!(dv[0], 1.0);
201    /// ```
202    fn from(v: Vector<T, N>) -> Self {
203        Self::from_slice(v.as_slice())
204    }
205}
206
207impl<T: Scalar, const N: usize> From<&Vector<T, N>> for DynVector<T> {
208    fn from(v: &Vector<T, N>) -> Self {
209        Self::from_slice(v.as_slice())
210    }
211}
212
213impl<T: Scalar> From<DynVector<T>> for DynMatrix<T> {
214    fn from(v: DynVector<T>) -> Self {
215        v.inner
216    }
217}
218
219impl<T: Scalar> From<&DynVector<T>> for DynMatrix<T> {
220    fn from(v: &DynVector<T>) -> Self {
221        v.inner.clone()
222    }
223}
224
225#[cfg(test)]
226mod tests {
227    use super::*;
228    use crate::Vector;
229
230    #[test]
231    fn from_slice() {
232        let v = DynVector::from_slice(&[1.0, 2.0, 3.0]);
233        assert_eq!(v.len(), 3);
234        assert_eq!(v[0], 1.0);
235        assert_eq!(v[2], 3.0);
236    }
237
238    #[test]
239    fn from_vec() {
240        let v = DynVector::from_vec(vec![10.0, 20.0]);
241        assert_eq!(v.len(), 2);
242        assert_eq!(v[1], 20.0);
243    }
244
245    #[test]
246    fn zeros() {
247        let v = DynVector::<f64>::zeros(4);
248        assert_eq!(v.len(), 4);
249        for i in 0..4 {
250            assert_eq!(v[i], 0.0);
251        }
252    }
253
254    #[test]
255    fn index_mut() {
256        let mut v = DynVector::<f64>::zeros(3);
257        v[1] = 42.0;
258        assert_eq!(v[1], 42.0);
259    }
260
261    #[test]
262    fn dot_product() {
263        let a = DynVector::from_slice(&[1.0, 2.0, 3.0]);
264        let b = DynVector::from_slice(&[4.0, 5.0, 6.0]);
265        assert_eq!(a.dot(&b), 32.0);
266    }
267
268    #[test]
269    fn from_fixed_vector() {
270        let v = Vector::from_array([1.0, 2.0, 3.0]);
271        let dv: DynVector<f64> = v.into();
272        assert_eq!(dv.len(), 3);
273        assert_eq!(dv[0], 1.0);
274        assert_eq!(dv[2], 3.0);
275    }
276
277    #[test]
278    fn dimensions_match_vector() {
279        // DynVector should be N×1 like Vector
280        let v = DynVector::from_slice(&[1.0, 2.0, 3.0]);
281        assert_eq!(v.nrows(), 3);
282        assert_eq!(v.ncols(), 1);
283    }
284
285    #[test]
286    fn as_slice() {
287        let v = DynVector::from_slice(&[1.0, 2.0, 3.0]);
288        assert_eq!(v.as_slice(), &[1.0, 2.0, 3.0]);
289    }
290
291    #[test]
292    fn into_dynmatrix() {
293        let v = DynVector::from_slice(&[1.0, 2.0, 3.0]);
294        let m: DynMatrix<f64> = v.into();
295        assert_eq!(m.nrows(), 3);
296        assert_eq!(m.ncols(), 1);
297        assert_eq!(m[(1, 0)], 2.0);
298    }
299}