2023-05-25 20:20:31 -05:00
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//! This is a crate for very basic matrix operations
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//! with any type that supports addition, substraction,
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//! and multiplication. Additional properties might be
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//! needed for certain operations.
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//!
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//! Sayantan Santra (2023)
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2023-05-25 20:28:36 -05:00
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use num::{
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traits::{One, Zero},
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Integer,
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};
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use std::{
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fmt::{self, Debug, Display, Formatter},
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ops::{Add, Mul, Sub},
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result::Result,
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};
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mod tests;
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/// A generic matrix struct (over any type with addition, substraction
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/// and multiplication defined on it).
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/// Look at [`from`](Self::from()) to see examples.
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#[derive(PartialEq, Debug, Clone)]
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pub struct Matrix<T: Mul + Add + Sub> {
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entries: Vec<Vec<T>>,
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}
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impl<T: Mul + Add + Sub> Matrix<T> {
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/// Creates a matrix from given 2D "array" in a `Vec<Vec<T>>` form.
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/// It'll throw error if all the given rows aren't of the same size.
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/// # Example
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/// ```
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/// use matrix::Matrix;
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/// let m = Matrix::from(vec![vec![1,2,3], vec![4,5,6]]);
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/// ```
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/// will create the following matrix:
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/// ⌈1,2,3⌉
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/// ⌊4,5,6⌋
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pub fn from(entries: Vec<Vec<T>>) -> Result<Matrix<T>, &'static str> {
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let mut equal_rows = true;
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let row_len = entries[0].len();
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for row in &entries {
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if row_len != row.len() {
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equal_rows = false;
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break;
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}
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}
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if equal_rows {
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Ok(Matrix { entries })
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} else {
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Err("Unequal rows.")
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}
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}
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/// Return the height of a matrix.
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pub fn height(&self) -> usize {
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self.entries.len()
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}
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/// Return the width of a matrix.
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pub fn width(&self) -> usize {
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self.entries[0].len()
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}
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/// Return the transpose of a matrix.
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pub fn transpose(&self) -> Self
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where
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T: Copy,
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{
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let mut out = Vec::new();
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for i in 0..self.width() {
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let mut column = Vec::new();
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for row in &self.entries {
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column.push(row[i]);
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}
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out.push(column)
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}
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Matrix { entries: out }
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}
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/// Return a reference to the rows of a matrix as `&Vec<Vec<T>>`.
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pub fn rows(&self) -> &Vec<Vec<T>> {
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&self.entries
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}
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/// Return the columns of a matrix as `Vec<Vec<T>>`.
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pub fn columns(&self) -> Vec<Vec<T>>
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where
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T: Copy,
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{
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self.transpose().entries
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}
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/// Return true if a matrix is square and false otherwise.
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pub fn is_square(&self) -> bool {
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self.height() == self.width()
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}
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/// Return a matrix after removing the provided row and column from it.
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/// Note: Row and column numbers are 0-indexed.
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/// # Example
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/// ```
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/// use matrix::Matrix;
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/// let m = Matrix::from(vec![vec![1,2,3],vec![4,5,6]]).unwrap();
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/// let n = Matrix::from(vec![vec![5,6]]).unwrap();
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/// assert_eq!(m.submatrix(0,0),n);
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/// ```
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pub fn submatrix(&self, row: usize, col: usize) -> Self
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where
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T: Copy,
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{
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let mut out = Vec::new();
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for (m, row_iter) in self.entries.iter().enumerate() {
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if m == row {
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continue;
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}
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let mut new_row = Vec::new();
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for (n, entry) in row_iter.iter().enumerate() {
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if n != col {
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new_row.push(*entry);
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}
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}
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out.push(new_row);
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}
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Matrix { entries: out }
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}
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pub fn det(&self) -> Result<T, &'static str>
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where
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T: Copy,
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T: Mul<Output = T>,
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T: Sub<Output = T>,
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T: Zero,
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{
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if self.is_square() {
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let out = if self.width() == 1 {
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self.entries[0][0]
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} else {
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let n = 0..self.width();
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let mut out = T::zero();
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for i in n {
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if i.is_even() {
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out = out + (self.entries[0][i] * self.submatrix(0, i).det().unwrap());
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} else {
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out = out - (self.entries[0][i] * self.submatrix(0, i).det().unwrap());
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}
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}
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out
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};
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Ok(out)
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} else {
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Err("Provided matrix isn't square.")
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}
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}
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/// Creates a zero matrix of a given size.
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pub fn zero(height: usize, width: usize) -> Self
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where
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T: Zero,
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{
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let mut out = Vec::new();
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for _ in 0..height {
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let mut new_row = Vec::new();
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for _ in 0..width {
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new_row.push(T::zero());
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}
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out.push(new_row);
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}
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Matrix { entries: out }
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}
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/// Creates an identity matrix of a given size.
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pub fn identity(size: usize) -> Self
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where
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T: Zero,
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T: One,
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{
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let mut out = Vec::new();
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for i in 0..size {
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let mut new_row = Vec::new();
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for j in 0..size {
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if i == j {
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new_row.push(T::one());
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} else {
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new_row.push(T::zero());
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}
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}
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out.push(new_row);
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}
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Matrix { entries: out }
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}
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}
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impl<T: Debug + Mul + Add + Sub> Display for Matrix<T> {
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fn fmt(&self, f: &mut Formatter) -> fmt::Result {
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write!(f, "{:?}", self.entries)
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}
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}
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impl<T: Mul<Output = T> + Add + Sub + Copy + Zero> Mul for Matrix<T> {
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type Output = Self;
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fn mul(self, other: Self) -> Self {
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let width = self.width();
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if width != other.height() {
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panic!("Row length of first matrix must be same as column length of second matrix.");
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} else {
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let mut out = Vec::new();
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for row in self.rows() {
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let mut new_row = Vec::new();
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for col in other.columns() {
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let mut prod = row[0] * col[0];
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for i in 1..width {
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prod = prod + (row[i] * col[i]);
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}
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new_row.push(prod)
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}
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out.push(new_row);
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}
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Matrix { entries: out }
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}
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}
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}
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impl<T: Add<Output = T> + Sub + Mul + Copy + Zero> Add for Matrix<T> {
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type Output = Self;
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fn add(self, other: Self) -> Self {
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if self.height() == other.height() && self.width() == other.width() {
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let mut out = self.entries.clone();
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for (i, row) in self.rows().iter().enumerate() {
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for (j, entry) in other.rows()[i].iter().enumerate() {
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out[i][j] = row[j] + *entry;
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}
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}
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Matrix { entries: out }
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} else {
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panic!("Both matrices must be of same dimensions.");
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}
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}
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}
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impl<T: Add + Sub<Output = T> + Mul + Copy + Zero> Sub for Matrix<T> {
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type Output = Self;
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fn sub(self, other: Self) -> Self {
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if self.height() == other.height() && self.width() == other.width() {
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let mut out = self.entries.clone();
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for (i, row) in self.rows().iter().enumerate() {
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for (j, entry) in other.rows()[i].iter().enumerate() {
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out[i][j] = row[j] - *entry;
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}
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}
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Matrix { entries: out }
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} else {
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panic!("Both matrices must be of same dimensions.");
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}
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2023-05-25 20:07:10 -05:00
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}
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2023-05-24 21:46:25 -05:00
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}
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