Mudi provides multi-dimensional arrays to store data. The aim of this library is not to provide complex algorithms, but powerful indexing scheme. The Mudi array type is closer to a Fortran array than to Numpy's ndarray.

For example, Mudi allow to use range dimensions (10..30 or even -42..42) and negative indexing for negatives ranges.

The array! macro can be used to create an array. It is used like the standard vec! macro, but with an addition dimensions parameter.

#[macro_use]
extern crate mudi;

// Create a 3-dimensional array, filled with 0
let a = array!(0.0; (3, 4, -10..10));

// Create a 2-dimensional array, with values from the list
let a = array!(1.0, 0.0, 0.0, 0.0,
               0.0, 2.0, 1.0, 0.0,
               0.0, 0.0, 3.0, 0.0,
               0.0, 0.0, 0.0, 4.0; (4, 4));

Dimensions are represented by tuples of either single usize value, or ranges. 3 and 10..30 are dimensions for 1-dimensional arrays, and (3, 4, 5) or (-20..20, 5, 6..8) are dimensions for 3-dimensional arrays. Indexing is implemented for tuple dimensions up to 7-dimensional arrays.

let mut a = array!(0.0; (3, 4, -10..10));

// Use tuples for indexing
assert_eq!(a[(0, 0, 0)], 0.0);
// Negatives indexes in negative range dimensions
a[(1, 2, -6)] = 42.0;
assert_eq!(a[(1, 2, -6)], 42.0);

Mudi is licensed under either of Apache License Version 2.0 or MIT license at your option.

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.