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213
src/matrix.rs
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213
src/matrix.rs
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use std::ops;
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fn det(m: &[f32], x: usize) -> f32 {
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if x == 1 {
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m[0]
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} else if x == 2 {
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m[0] * m[3] - m[1] * m[2]
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} else {
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let mut d = 0.0;
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for n in 0..x {
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let ms = m
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.iter()
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.enumerate()
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.skip(x)
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.filter(|(i, _)| (i % x) != n)
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.map(|(_, v)| *v).collect::<Vec<_>>();
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d += (-1.0f32).powi(n as i32) * m[n] * det(&ms, x - 1);
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}
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d
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}
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}
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#[derive(Clone, Debug)]
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pub struct Matrix {
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data: Box<[f32]>,
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height: usize,
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width: usize,
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}
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impl Matrix {
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pub fn new(height: usize, width: usize) -> Matrix {
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Matrix {
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data: vec![0.0; height * width].into_boxed_slice(),
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height,
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width,
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}
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}
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pub fn transpose(&self) -> Matrix {
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let mut matrix = Matrix::new(self.width, self.height);
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for c in 0..self.width {
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for r in 0..self.height {
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matrix[(c, r)] = self[(r, c)];
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}
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}
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matrix
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}
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pub fn minor(&self, row_n: usize, col_n: usize) -> Matrix {
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let mut matrix = Matrix::new(self.height - 1 , self.width - 1);
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let mut nr = 0;
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for r in 0..self.height {
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if r == row_n {
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continue;
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}
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let mut nc = 0;
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for c in 0..self.width {
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if c == col_n {
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continue;
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}
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matrix[(nr, nc)] = self[(r, c)];
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nc += 1;
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}
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nr += 1;
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}
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matrix
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}
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pub fn determinant(&self) -> f32 {
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debug_assert!(self.width == self.height);
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det(&self.data, self.width)
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}
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pub fn adjugate(&self) -> Matrix {
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debug_assert!(self.width == self.height);
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let mut matrix = Matrix::new(self.height, self.width);
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if matrix.height == 2 {
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matrix[(0, 0)] = self[(1, 1)];
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matrix[(0, 1)] = -self[(0, 1)];
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matrix[(1, 0)] = -self[(1, 0)];
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matrix[(1, 1)] = self[(0, 0)];
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} else {
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for r in 0..matrix.height {
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for c in 0..matrix.width {
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let sign = if (r + c) % 2 == 0 { 1.0 } else { -1.0 };
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matrix[(r, c)] = self.minor(r, c).determinant() * sign;
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}
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}
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}
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matrix
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}
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pub fn inverse(&self) -> Matrix {
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let mut matrix = Matrix::new(self.width, self.height);
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if self.height == self.width && self.height == 1 {
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matrix[(0, 0)] = 1.0 / self[(0, 0)];
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} else {
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}
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matrix
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}
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}
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impl ops::Index<(usize, usize)> for Matrix {
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type Output = f32;
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fn index(&self, pos: (usize, usize)) -> &Self::Output {
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&self.data[(self.width * pos.0) + pos.1]
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}
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}
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impl ops::IndexMut<(usize, usize)> for Matrix {
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fn index_mut(&mut self, pos: (usize, usize)) -> &mut Self::Output {
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&mut self.data[(self.width * pos.0) + pos.1]
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}
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}
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impl<'a> ops::Mul<&'a Matrix> for f32 {
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type Output = Matrix;
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fn mul(self, rhs: &'a Matrix) -> Matrix {
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let mut matrix = Matrix::new(rhs.height, rhs.width);
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for r in 0..rhs.height {
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for c in 0..rhs.width {
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matrix[(r, c)] = self * rhs[(r, c)];
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}
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}
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matrix
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}
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}
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impl<'a> ops::Mul<&'a Matrix> for Matrix {
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type Output = Matrix;
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fn mul(self, rhs: &'a Matrix) -> Matrix {
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let mut matrix = Matrix::new(self.height, rhs.width);
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for r in 0..matrix.height {
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for c in 0..matrix.width {
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let mut value = 0.0;
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for x in 0..self.width {
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value += self[(r, x)] * rhs[(x, c)];
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}
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matrix[(r, c)] = value;
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}
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}
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matrix
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}
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}
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impl<'a> ops::Mul<&'a Matrix> for &'a Matrix {
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type Output = Matrix;
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fn mul(self, rhs: &'a Matrix) -> Matrix {
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let mut matrix = Matrix::new(self.height, rhs.width);
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for r in 0..matrix.height {
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for c in 0..matrix.width {
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let mut value = 0.0;
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for x in 0..self.width {
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value += self[(r, x)] * rhs[(x, c)];
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}
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matrix[(r, c)] = value;
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}
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}
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matrix
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}
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}
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impl<'a> ops::Add<&'a Matrix> for &'a Matrix {
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type Output = Matrix;
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fn add(self, rhs: &'a Matrix) -> Matrix {
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let mut matrix = Matrix::new(self.height, self.width);
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for r in 0..matrix.height {
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for c in 0..matrix.width {
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matrix[(r, c)] = self[(r, c)] + rhs[(r, c)];
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}
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}
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matrix
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}
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}
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