Add no_std and forbid(unsafe) in utils
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@ -1,3 +1,4 @@
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#![no_std]
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#![feature(const_fn_floating_point_arithmetic)]
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use float::Float;
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@ -27,7 +28,7 @@ impl<T: Copy + Zero + PartialEq, const M: usize, const N: usize> Zero for Matrix
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}
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}
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fn is_zero(&self) -> bool {
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self == &Self::zero()
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self.iter().all(|x| x.is_zero())
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}
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}
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@ -113,10 +114,31 @@ impl<T, const N: usize> RowVector<T, N> {
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}
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}
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impl<const M: usize, const P: usize> Matrix<Float, M, P> {
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/// A specialised matmul for Float, using fma
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pub fn matmul_float_into<const N: usize>(
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&mut self,
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lhs: &Matrix<Float, M, N>,
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rhs: &Matrix<Float, N, P>,
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) {
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for i in 0..M {
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for j in 0..P {
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let mut t = 0.0;
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for k in 0..N {
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t = Float::mul_add(lhs[(i, k)], rhs[(k, j)], t);
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// t = t + lhs[(i, k)] * rhs[(k, j)];
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}
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self[(i, j)] = t;
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}
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}
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}
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}
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impl<T, const M: usize, const P: usize> Matrix<T, M, P> {
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pub fn matmul_into<const N: usize>(&mut self, lhs: &Matrix<T, M, N>, rhs: &Matrix<T, N, P>)
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where
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T: Default + Copy + core::ops::Mul<Output = T> + core::ops::Add<Output = T>,
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T: 'static,
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{
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for i in 0..M {
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for j in 0..P {
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@ -135,6 +157,7 @@ macro_rules! impl_op_mul_mul {
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impl<T, const N: usize, const M: usize, const P: usize> core::ops::Mul<$rhs> for $lhs
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where
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T: Copy + Default + core::ops::Add<Output = T> + core::ops::Mul<Output = T>,
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T: 'static,
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{
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type Output = Matrix<T, M, P>;
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fn mul(self, lhs: $rhs) -> Self::Output {
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@ -351,14 +374,14 @@ mod flipping {
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#[test]
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fn assert_castability_of_alignment() {
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let m = Matrix::new([[1.0], [2.0], [3.0], [4.0_f64]]);
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assert_eq!(std::mem::align_of_val(&m), std::mem::align_of::<f64>());
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assert_eq!(core::mem::align_of_val(&m), core::mem::align_of::<f64>());
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let m = Matrix::new([[1.0], [2.0], [3.0], [4.0_f32]]);
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assert_eq!(std::mem::align_of_val(&m), std::mem::align_of::<f32>());
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assert_eq!(core::mem::align_of_val(&m), core::mem::align_of::<f32>());
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let m = Matrix::new([[1], [2], [3], [4_i32]]);
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assert_eq!(std::mem::align_of_val(&m), std::mem::align_of::<i32>());
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assert_eq!(core::mem::align_of_val(&m), core::mem::align_of::<i32>());
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let m = Matrix::new([[1], [2], [3], [4_u64]]);
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assert_eq!(std::mem::align_of_val(&m), std::mem::align_of::<u64>());
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assert_eq!(core::mem::align_of_val(&m), core::mem::align_of::<u64>());
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let m = Matrix::new([[1], [2], [3], [4_u128]]);
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assert_eq!(std::mem::align_of_val(&m), std::mem::align_of::<u128>());
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assert_eq!(core::mem::align_of_val(&m), core::mem::align_of::<u128>());
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}
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}
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@ -1,5 +1,5 @@
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//! The Float type used throughout the ecosystem
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#![no_std]
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#![cfg_attr(feature = "fast-float", feature(core_intrinsics))]
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/// Type used for floats, configure with the `f32` feature
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@ -12,9 +12,9 @@ pub type Float = f64;
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/// Associated constants for [`Float`]
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pub mod consts {
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#[cfg(feature = "f32")]
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pub use std::f32::consts::*;
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pub use core::f32::consts::*;
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#[cfg(not(feature = "f32"))]
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pub use std::f64::consts::*;
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pub use core::f64::consts::*;
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}
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#[cfg(feature = "fast-float")]
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@ -7,6 +7,8 @@
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//! The integration functions are memory efficient, and relies
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//! on the `k` parameter to hold the system state differences.
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//! This parameter is tied to the Butcher Tableau
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#![forbid(unsafe_code)]
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#![no_std]
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use float::Float;
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