A few extensions I've needed of ndarray
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
Start by reviewing the existing ndarray APIs around ArrayBase, Dimension, NdFloat, and fold, then read the discussion for decisions about the proposed methods. The scope is not settled: confirm which extensions, if any, are wanted and clarify the fold deprecation question before defining completion criteria.
Written by the indexing model from the issue text.
Description
Relevant to any dimension:
trait MyArr<S: Data<Elem=A>, A: NdFloat, D: Dimension>
{
// Yes, trivial with from_elem, but useful enough.
fn ones(dim: D) -> ArrayBase<S,D>;
// Also very common stuff
fn powf(&self, exp: A) -> ArrayBase<Vec<A>,D>;
fn sqr(&self) -> ArrayBase<Vec<A>,D>;
fn norm(&self) -> A;
fn max(&self) -> A;
}
Relevant to matrices only:
trait Mat<D: NdFloat> {
fn sum_sqr_cw(&self) -> VE; // column wise sum of squares
// Copy out a submatrix selecting arbitrary rows and columns from self.
fn submatrix(&self, rows: &Vec<Ix>, columns: &Vec<Ix>) -> MA;
}
BTW, I receive a warning that fold is deprecated because it forces a particular order. I am not sure what you mean by that, and what is a good replacement for it.
I can submit a PR for those if welcome.
- Dominant language
- Rust
- Stars
- 4.3k
- Forks
- 391
- PR merge metrics
- No merged PRs in 30d
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