M-Labs
/
nalgebra
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Undo breaking changes

This commit is contained in:
Fabian Löschner 2019-08-13 09:00:54 +02:00 committed by Sébastien Crozet
parent 206242e5e4
commit 8916e907f2
1 changed files with 4 additions and 76 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

80
src/base/ops.rs
View File

@ -870,9 +870,11 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
#[inline(always)]
fn xcmp<N2>(&self, abs: impl Fn(N) -> N2, ordering: Ordering) -> N2
where N2: Scalar + PartialOrd + Zero {
assert!(self.len() > 0, "Empty matrix supplied to min/max function.");
let mut iter = self.iter();
let mut max = abs(iter.next().cloned().unwrap());
let mut max = match iter.next() {
Some(first) => abs(*first),
None => { return N2::zero(); }
};
for e in iter {
let ae = abs(*e);
@ -881,8 +883,6 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
if ae_ordering == ordering {
max = ae;
}
} else {
return ae;
}
}
@ -890,22 +890,11 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
}
/// Returns the absolute value of the component with the largest absolute value.
/// If the matrix contains any value for which `PartialOrd::partial_cmp` returns
/// `None`, the first encountered value that causes this is returned instead
/// (e.g. a `NaN` value).
/// # Example
/// ```
/// # use nalgebra::Vector3;
/// assert_eq!(Vector3::new(-1.0, 2.0, 3.0).amax(), 3.0);
/// assert_eq!(Vector3::new(-1.0, -2.0, -3.0).amax(), 3.0);
/// assert!(Vector3::new(1.0, std::f64::NAN, 3.0).amax().is_nan());
/// ```
///
/// # Panics
/// Panics if the matrix is empty:
/// ```should_panic
/// # use nalgebra::DMatrix;
/// let min = DMatrix::<f64>::zeros(0,1).amax(); // panics!
/// ```
#[inline]
pub fn amax(&self) -> N
@ -914,9 +903,6 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
}
/// Returns the the 1-norm of the complex component with the largest 1-norm.
/// If the matrix contains any value for which `PartialOrd::partial_cmp` returns
/// `None`, the first encountered value that causes this is returned instead
/// (e.g. a `NaN` value).
/// # Example
/// ```
/// # use nalgebra::{Vector3, Complex};
@ -924,17 +910,6 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
/// Complex::new(-3.0, -2.0),
/// Complex::new(1.0, 2.0),
/// Complex::new(1.0, 3.0)).camax(), 5.0);
/// assert!(Vector3::new(
/// Complex::new(-3.0, -2.0),
/// Complex::new(1.0, std::f64::NAN),
/// Complex::new(1.0, 3.0)).camax().is_nan());
/// ```
///
/// # Panics
/// Panics if the matrix is empty:
/// ```should_panic
/// # use nalgebra::{DMatrix, Complex};
/// let min = DMatrix::<Complex<f64>>::zeros(0,1).camax(); // panics!
/// ```
#[inline]
pub fn camax(&self) -> N::RealField
@ -943,22 +918,11 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
}
/// Returns the component with the largest value.
/// If the matrix contains any value for which `PartialOrd::partial_cmp` returns
/// `None`, the first encountered value that causes this is returned instead
/// (e.g. a `NaN` value).
/// # Example
/// ```
/// # use nalgebra::Vector3;
/// assert_eq!(Vector3::new(-1.0, 2.0, 3.0).max(), 3.0);
/// assert_eq!(Vector3::new(-1.0, -2.0, -3.0).max(), -1.0);
/// assert!(Vector3::new(1.0, std::f64::NAN, 3.0).max().is_nan());
/// ```
///
/// # Panics
/// Panics if the matrix is empty:
/// ```should_panic
/// # use nalgebra::DMatrix;
/// let min = DMatrix::<f64>::zeros(0,1).max(); // panics!
/// ```
#[inline]
pub fn max(&self) -> N
@ -967,22 +931,11 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
}
/// Returns the absolute value of the component with the smallest absolute value.
/// If the matrix contains any value for which `PartialOrd::partial_cmp` returns
/// `None`, the first encountered value that causes this is returned instead
/// (e.g. a `NaN` value).
/// # Example
/// ```
/// # use nalgebra::Vector3;
/// assert_eq!(Vector3::new(-1.0, 2.0, -3.0).amin(), 1.0);
/// assert_eq!(Vector3::new(10.0, 2.0, 30.0).amin(), 2.0);
/// assert!(Vector3::new(-1.0, std::f64::NAN, 3.0).amin().is_nan());
/// ```
///
/// # Panics
/// Panics if the matrix is empty:
/// ```should_panic
/// # use nalgebra::DMatrix;
/// let min = DMatrix::<f64>::zeros(0,1).amin(); // panics!
/// ```
#[inline]
pub fn amin(&self) -> N
@ -991,9 +944,6 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
}
/// Returns the the 1-norm of the complex component with the smallest 1-norm.
/// If the matrix contains any value for which `PartialOrd::partial_cmp` returns
/// `None`, the first encountered value that causes this is returned instead
/// (e.g. a `NaN` value).
/// # Example
/// ```
/// # use nalgebra::{Vector3, Complex};
@ -1001,17 +951,6 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
/// Complex::new(-3.0, -2.0),
/// Complex::new(1.0, 2.0),
/// Complex::new(1.0, 3.0)).camin(), 3.0);
/// assert!(Vector3::new(
/// Complex::new(-3.0, -2.0),
/// Complex::new(1.0, std::f64::NAN),
/// Complex::new(1.0, 3.0)).camin().is_nan());
/// ```
///
/// # Panics
/// Panics if the matrix is empty:
/// ```should_panic
/// # use nalgebra::{DMatrix, Complex};
/// let min = DMatrix::<Complex<f64>>::zeros(0,1).camin(); // panics!
/// ```
#[inline]
pub fn camin(&self) -> N::RealField
@ -1020,22 +959,11 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
}
/// Returns the component with the smallest value.
/// If the matrix contains any value for which `PartialOrd::partial_cmp` returns
/// `None`, the first encountered value that causes this is returned instead
/// (e.g. a `NaN` value).
/// # Example
/// ```
/// # use nalgebra::Vector3;
/// assert_eq!(Vector3::new(-1.0, 2.0, 3.0).min(), -1.0);
/// assert_eq!(Vector3::new(1.0, 2.0, 3.0).min(), 1.0);
/// assert!(Vector3::new(1.0, std::f64::NAN, 3.0).min().is_nan());
/// ```
///
/// # Panics
/// Panics if the matrix is empty:
/// ```should_panic
/// # use nalgebra::DMatrix;
/// let min = DMatrix::<f64>::zeros(0,1).min(); // panics!
/// ```
#[inline]
pub fn min(&self) -> N