Rust ndarray type error: trait bound not implemented

Question

I'm using ndarray and ndarray_einsum_beta to mimic numpy.einsum.

I seem to be getting a type error trying to implement the basic example given:

let m1 = arr1(&[1, 2]);
let m2 = arr2(&[[1, 2], [3, 4]]);
println!("{:?}", einsum("i,ij->j", &[&m1, &m2]));

For both m1 and m2 I get the error:

the trait bound ndarray::ArrayBase<ndarray::OwnedRepr<{integer}>, ndarray::Dim<[usize; 1]>>: ndarray_einsum_beta::ArrayLike<_> is not satisfied

the trait ndarray_einsum_beta::ArrayLike<_> is not implemented for ndarray::ArrayBase<ndarray::OwnedRepr<{integer}>, ndarray::Dim<[usize; 1]>>

note: required for the cast to the object type dyn ndarray_einsum_beta::ArrayLike<_>rustc(E0277)

As shown in the console on compilcation:

Whole main.rs:

use ndarray::prelude::*;
use ndarray_einsum_beta::*;

fn main() {
    println!("Hello, world!");
    let m1 = arr1(&[1, 2]);
    let m2 = arr2(&[[1, 2], [3, 4]]);
    println!("{:?}", einsum("i,ij->j", &[&m1, &m2]));
}

Whole Cargo.toml:

[package]
name = "clean_slate"
version = "0.1.0"
authors = ["Jonathan <[email protected]>"]
edition = "2018"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]
ndarray = "0.13.0"
ndarray_einsum_beta = "0.4.4"

I really cannot figure what I have done wrong here, my best guess right now is perhaps a bad version combination of ndarray and ndarray_eisum_beta.

Any help would be greatly appreciated.

edwardw · Accepted Answer · 2020-01-19 18:08:05Z

1

Apparently ndarray_einsum_beta depends on ndarray-0.12. Changing the dependencies of your project solves the problem:

[dependencies]
ndarray = "0.12"
ndarray_einsum_beta = "0.4.4"

answered Jan 19, 2020 at 18:08

edwardw

14.2k4 gold badges44 silver badges54 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

Rust ndarray type error: trait bound not implemented

1 Answer 1

Comments

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Related