[−][src]Trait nshare::RefNdarray2

pub trait RefNdarray2 {
    type Out;
    pub fn ref_ndarray2(self) -> Self::Out;
}

Borrows a 2d type to a ndarray 2d array type.

Coordinates are in (row, col).

This uses an associated type to avoid ambiguity for the compiler. By calling this, the compiler always knows the returned type.

Associated Types

type Out[src]

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Required methods

pub fn ref_ndarray2(self) -> Self::Out[src]

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Implementations on Foreign Types

impl<'a, A, Container> RefNdarray2 for &'a ImageBuffer<Luma<A>, Container> where
    A: Primitive + 'static,
    Container: Deref<Target = [A]>, [src]

use image::{GrayImage, Luma};
use nshare::RefNdarray2;
use ndarray::s;

let mut vals = GrayImage::new(2, 4);
vals[(1, 0)] = Luma([255]);
let nd = vals.ref_ndarray2();
// ndarray uses (row, col), so the dims get flipped.
assert_eq!(nd.dim(), (4, 2));
// The first row should sum to 255.
assert_eq!(nd.slice(s![0, ..]).sum(), 255);

type Out = ArrayView2<'a, A>

impl<'a, N: Scalar, R: Dim, C: Dim, S> RefNdarray2 for &'a Matrix<N, R, C, S> where
    S: Storage<N, R, C>, [src]

use nshare::RefNdarray2;
use nalgebra::Matrix4;
use ndarray::s;

let m = Matrix4::new(
    0.1, 0.2, 0.3, 0.4,
    0.5, 0.6, 0.7, 0.8,
    1.1, 1.2, 1.3, 1.4,
    1.5, 1.6, 1.7, 1.8,
);
let arr = m.ref_ndarray2();
assert!(arr.slice(s![1, ..]).iter().eq(&[0.5, 0.6, 0.7, 0.8]));
assert_eq!(arr.dim(), (4, 4));

type Out = ArrayView2<'a, N>

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Implementors

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