ferray-core

N-dimensional array type and foundational primitives for the ferray scientific computing library.

What's in this crate

• NdArray<T, D> — owned, heap-allocated N-dimensional array (analogous to numpy.ndarray)
• Array views: ArrayView, ArrayViewMut, ArcArray, CowArray
• Type aliases: Array1, Array2, Array3, ArrayD (dynamic rank)
• Broadcasting (NumPy rules), basic/advanced/extended indexing, s![] macro
• Array creation: zeros, ones, arange, linspace, eye, meshgrid, full, etc.
• Shape manipulation: reshape, transpose, concatenate, stack, split, pad, tile
• Element trait for 17 dtypes: f16, f32, f64, Complex, i8-i128, u8-u128, bool
• DType runtime enum, finfo/iinfo, type promotion rules
• FerrayError hierarchy with diagnostic context — zero panics

Usage

use ferray_core::prelude::*;

let a = Array2::<f64>::zeros(Ix2::new([3, 4]))?;
let b = Array1::<f64>::linspace(0.0, 1.0, 100)?;

This crate is re-exported through the main ferray crate. Most users should depend on ferray directly.

License

MIT OR Apache-2.0