cgmath/src/mat2.rs

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use core::cast::transmute;
use core::cmp::Eq;
use core::ptr::to_unsafe_ptr;
use core::sys::size_of;
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use core::util::swap;
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use core::vec::raw::buf_as_slice;
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use std::cmp::{FuzzyEq, FUZZY_EPSILON};
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use numeric::*;
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use numeric::number::Number;
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use numeric::number::Number::{zero,one};
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use vec::{
Vec2,
Vector2,
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MutableVector,
NumericVector,
MutableNumericVector,
vec2,
dvec2,
};
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use mat::{
Mat3,
Mat4,
Matrix,
Matrix2,
Matrix3,
Matrix4,
MutableMatrix,
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};
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/**
* A 2 x 2 column major matrix
*
* # Type parameters
*
* * `T` - The type of the elements of the matrix. Should be a floating point type.
*
* # Fields
*
* * `x` - the first column vector of the matrix
* * `y` - the second column vector of the matrix
* * `z` - the third column vector of the matrix
*/
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#[deriving_eq]
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pub struct Mat2<T> { x: Vec2<T>, y: Vec2<T> }
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pub impl<T:Copy Float FuzzyEq<T>> Mat2<T>: Matrix<T, Vec2<T>> {
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#[inline(always)]
pure fn col(&self, i: uint) -> Vec2<T> { self[i] }
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#[inline(always)]
pure fn row(&self, i: uint) -> Vec2<T> {
Vector2::new(self[0][i],
self[1][i])
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}
/**
* Construct a 2 x 2 diagonal matrix with the major diagonal set to `value`
*
* # Arguments
*
* * `value` - the value to set the major diagonal to
*
* ~~~
* c0 c1
* +-----+-----+
* r0 | val | 0 |
* +-----+-----+
* r1 | 0 | val |
* +-----+-----+
* ~~~
*/
#[inline(always)]
static pure fn from_value(value: T) -> Mat2<T> {
Matrix2::new(value, zero(),
zero(), value)
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}
/**
* Returns the multiplicative identity matrix
* ~~~
* c0 c1
* +----+----+
* r0 | 1 | 0 |
* +----+----+
* r1 | 0 | 1 |
* +----+----+
* ~~~
*/
#[inline(always)]
static pure fn identity() -> Mat2<T> {
Matrix2::new( one::<T>(), zero::<T>(),
zero::<T>(), one::<T>())
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}
/**
* Returns the additive identity matrix
* ~~~
* c0 c1
* +----+----+
* r0 | 0 | 0 |
* +----+----+
* r1 | 0 | 0 |
* +----+----+
* ~~~
*/
#[inline(always)]
static pure fn zero() -> Mat2<T> {
Matrix2::new(zero::<T>(), zero::<T>(),
zero::<T>(), zero::<T>())
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}
#[inline(always)]
pure fn mul_t(&self, value: T) -> Mat2<T> {
Matrix2::from_cols(self[0].mul_t(value),
self[1].mul_t(value))
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}
#[inline(always)]
pure fn mul_v(&self, vec: &Vec2<T>) -> Vec2<T> {
Vector2::new(self.row(0).dot(vec),
self.row(1).dot(vec))
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}
#[inline(always)]
pure fn add_m(&self, other: &Mat2<T>) -> Mat2<T> {
Matrix2::from_cols(self[0].add_v(&other[0]),
self[1].add_v(&other[1]))
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}
#[inline(always)]
pure fn sub_m(&self, other: &Mat2<T>) -> Mat2<T> {
Matrix2::from_cols(self[0].sub_v(&other[0]),
self[1].sub_v(&other[1]))
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}
#[inline(always)]
pure fn mul_m(&self, other: &Mat2<T>) -> Mat2<T> {
Matrix2::new(self.row(0).dot(&other.col(0)), self.row(1).dot(&other.col(0)),
self.row(0).dot(&other.col(1)), self.row(1).dot(&other.col(1)))
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}
pure fn dot(&self, other: &Mat2<T>) -> T {
other.transpose().mul_m(self).trace()
}
pure fn determinant(&self) -> T {
self[0][0] * self[1][1] - self[1][0] * self[0][1]
}
pure fn trace(&self) -> T {
self[0][0] + self[1][1]
}
#[inline(always)]
pure fn inverse(&self) -> Option<Mat2<T>> {
let d = self.determinant();
if d.fuzzy_eq(&zero()) {
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None
} else {
Some(Matrix2::new( self[1][1]/d, -self[0][1]/d,
-self[1][0]/d, self[0][0]/d))
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}
}
#[inline(always)]
pure fn transpose(&self) -> Mat2<T> {
Matrix2::new(self[0][0], self[1][0],
self[0][1], self[1][1])
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}
#[inline(always)]
pure fn is_identity(&self) -> bool {
self.fuzzy_eq(&Matrix::identity())
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}
#[inline(always)]
pure fn is_diagonal(&self) -> bool {
self[0][1].fuzzy_eq(&zero()) &&
self[1][0].fuzzy_eq(&zero())
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}
#[inline(always)]
pure fn is_rotated(&self) -> bool {
!self.fuzzy_eq(&Matrix::identity())
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}
#[inline(always)]
pure fn is_symmetric(&self) -> bool {
self[0][1].fuzzy_eq(&self[1][0]) &&
self[1][0].fuzzy_eq(&self[0][1])
}
#[inline(always)]
pure fn is_invertible(&self) -> bool {
!self.determinant().fuzzy_eq(&zero())
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}
#[inline(always)]
pure fn to_ptr(&self) -> *T {
unsafe {
transmute::<*Mat2<T>, *T>(
to_unsafe_ptr(self)
)
}
}
}
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pub impl<T:Copy Float FuzzyEq<T>> Mat2<T>: MutableMatrix<T, Vec2<T>> {
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#[inline(always)]
fn col_mut(&mut self, i: uint) -> &self/mut Vec2<T> {
match i {
0 => &mut self.x,
1 => &mut self.y,
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_ => fail!(fmt!("index out of bounds: expected an index from 0 to 1, but found %u", i))
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}
}
#[inline(always)]
fn swap_cols(&mut self, a: uint, b: uint) {
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swap(self.col_mut(a),
self.col_mut(b));
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}
#[inline(always)]
fn swap_rows(&mut self, a: uint, b: uint) {
self.x.swap(a, b);
self.y.swap(a, b);
}
#[inline(always)]
fn set(&mut self, other: &Mat2<T>) {
(*self) = (*other);
}
#[inline(always)]
fn to_identity(&mut self) {
(*self) = Matrix::identity();
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}
#[inline(always)]
fn to_zero(&mut self) {
(*self) = Matrix::zero();
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}
#[inline(always)]
fn mul_self_t(&mut self, value: T) {
self.col_mut(0).mul_self_t(&value);
self.col_mut(1).mul_self_t(&value);
}
#[inline(always)]
fn add_self_m(&mut self, other: &Mat2<T>) {
self.col_mut(0).add_self_v(&other[0]);
self.col_mut(1).add_self_v(&other[1]);
}
#[inline(always)]
fn sub_self_m(&mut self, other: &Mat2<T>) {
self.col_mut(0).sub_self_v(&other[0]);
self.col_mut(1).sub_self_v(&other[1]);
}
#[inline(always)]
fn invert_self(&mut self) {
match self.inverse() {
Some(m) => (*self) = m,
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None => fail!(~"Couldn't invert the matrix!")
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}
}
#[inline(always)]
fn transpose_self(&mut self) {
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swap(self.col_mut(0).index_mut(1), self.col_mut(1).index_mut(0));
swap(self.col_mut(1).index_mut(0), self.col_mut(0).index_mut(1));
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}
}
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pub impl<T:Copy Float FuzzyEq<T>> Mat2<T>: Matrix2<T, Vec2<T>> {
/**
* Construct a 2 x 2 matrix
*
* # Arguments
*
* * `c0r0`, `c0r1` - the first column of the matrix
* * `c1r0`, `c1r1` - the second column of the matrix
*
* ~~~
* c0 c1
* +------+------+
* r0 | c0r0 | c1r0 |
* +------+------+
* r1 | c0r1 | c1r1 |
* +------+------+
* ~~~
*/
#[inline(always)]
static pure fn new(c0r0: T, c0r1: T,
c1r0: T, c1r1: T) -> Mat2<T> {
Matrix2::from_cols(Vector2::new::<T,Vec2<T>>(c0r0, c0r1),
Vector2::new::<T,Vec2<T>>(c1r0, c1r1))
}
/**
* Construct a 2 x 2 matrix from column vectors
*
* # Arguments
*
* * `c0` - the first column vector of the matrix
* * `c1` - the second column vector of the matrix
*
* ~~~
* c0 c1
* +------+------+
* r0 | c0.x | c1.x |
* +------+------+
* r1 | c0.y | c1.y |
* +------+------+
* ~~~
*/
#[inline(always)]
static pure fn from_cols(c0: Vec2<T>,
c1: Vec2<T>) -> Mat2<T> {
Mat2 { x: c0, y: c1 }
}
#[inline(always)]
static pure fn from_angle(radians: T) -> Mat2<T> {
let cos_theta = cos(radians);
let sin_theta = sin(radians);
Matrix2::new(cos_theta, -sin_theta,
sin_theta, cos_theta)
}
/**
* Returns the the matrix with an extra row and column added
* ~~~
* c0 c1 c0 c1 c2
* +----+----+ +----+----+----+
* r0 | a | b | r0 | a | b | 0 |
* +----+----+ +----+----+----+
* r1 | c | d | => r1 | c | d | 0 |
* +----+----+ +----+----+----+
* r2 | 0 | 0 | 1 |
* +----+----+----+
* ~~~
*/
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#[inline(always)]
pure fn to_mat3(&self) -> Mat3<T> {
Matrix3::new(self[0][0], self[0][1], zero(),
self[1][0], self[1][1], zero(),
zero(), zero(), one())
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}
/**
* Returns the the matrix with an extra two rows and columns added
* ~~~
* c0 c1 c0 c1 c2 c3
* +----+----+ +----+----+----+----+
* r0 | a | b | r0 | a | b | 0 | 0 |
* +----+----+ +----+----+----+----+
* r1 | c | d | => r1 | c | d | 0 | 0 |
* +----+----+ +----+----+----+----+
* r2 | 0 | 0 | 1 | 0 |
* +----+----+----+----+
* r3 | 0 | 0 | 0 | 1 |
* +----+----+----+----+
* ~~~
*/
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#[inline(always)]
pure fn to_mat4(&self) -> Mat4<T> {
Matrix4::new(self[0][0], self[0][1], zero(), zero(),
self[1][0], self[1][1], zero(), zero(),
zero(), zero(), one(), zero(),
zero(), zero(), zero(), one())
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}
}
pub impl<T:Copy> Mat2<T>: Index<uint, Vec2<T>> {
#[inline(always)]
pure fn index(&self, i: uint) -> Vec2<T> {
unsafe { do buf_as_slice(
transmute::<*Mat2<T>, *Vec2<T>>(
to_unsafe_ptr(self)), 2) |slice| { slice[i] }
}
}
}
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pub impl<T:Copy Float FuzzyEq<T>> Mat2<T>: Neg<Mat2<T>> {
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#[inline(always)]
pure fn neg(&self) -> Mat2<T> {
Matrix2::from_cols(-self[0], -self[1])
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}
}
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pub impl<T:Copy Float FuzzyEq<T>> Mat2<T>: FuzzyEq<T> {
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#[inline(always)]
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pure fn fuzzy_eq(&self, other: &Mat2<T>) -> bool {
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self.fuzzy_eq_eps(other, &Number::from(FUZZY_EPSILON))
}
#[inline(always)]
pure fn fuzzy_eq_eps(&self, other: &Mat2<T>, epsilon: &T) -> bool {
self[0].fuzzy_eq_eps(&other[0], epsilon) &&
self[1].fuzzy_eq_eps(&other[1], epsilon)
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}
}
// GLSL-style type aliases, corresponding to Section 4.1.6 of the [GLSL 4.30.6 specification]
// (http://www.opengl.org/registry/doc/GLSLangSpec.4.30.6.pdf).
pub type mat2 = Mat2<f32>; // a 2×2 single-precision floating-point matrix
pub type dmat2 = Mat2<f64>; // a 2×2 double-precision floating-point matrix
// Static method wrappers for GLSL-style types
pub impl mat2 {
#[inline(always)] static pure fn new(c0r0: f32, c0r1: f32, c1r0: f32, c1r1: f32)
-> mat2 { Matrix2::new(c0r0, c0r1, c1r0, c1r1) }
#[inline(always)] static pure fn from_cols(c0: vec2, c1: vec2)
-> mat2 { Matrix2::from_cols(move c0, move c1) }
#[inline(always)] static pure fn from_value(v: f32) -> mat2 { Matrix::from_value(v) }
#[inline(always)] static pure fn identity() -> mat2 { Matrix::identity() }
#[inline(always)] static pure fn zero() -> mat2 { Matrix::zero() }
#[inline(always)] static pure fn from_angle(radians: f32) -> mat2 { Matrix2::from_angle(radians) }
#[inline(always)] static pure fn dim() -> uint { 2 }
#[inline(always)] static pure fn rows() -> uint { 2 }
#[inline(always)] static pure fn cols() -> uint { 2 }
#[inline(always)] static pure fn size_of() -> uint { size_of::<mat2>() }
}
pub impl dmat2 {
#[inline(always)] static pure fn new(c0r0: f64, c0r1: f64, c1r0: f64, c1r1: f64)
-> dmat2 { Matrix2::new(c0r0, c0r1, c1r0, c1r1) }
#[inline(always)] static pure fn from_cols(c0: dvec2, c1: dvec2)
-> dmat2 { Matrix2::from_cols(move c0, move c1) }
#[inline(always)] static pure fn from_value(v: f64) -> dmat2 { Matrix::from_value(v) }
#[inline(always)] static pure fn identity() -> dmat2 { Matrix::identity() }
#[inline(always)] static pure fn zero() -> dmat2 { Matrix::zero() }
#[inline(always)] static pure fn from_angle(radians: f64) -> dmat2 { Matrix2::from_angle(radians) }
#[inline(always)] static pure fn dim() -> uint { 2 }
#[inline(always)] static pure fn rows() -> uint { 2 }
#[inline(always)] static pure fn cols() -> uint { 2 }
#[inline(always)] static pure fn size_of() -> uint { size_of::<dmat2>() }
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}