ferray-io

NumPy-compatible file I/O for the ferray scientific computing library.

What's in this crate

• .npy read/write — single array serialization (all dtypes, C/Fortran order)
• .npz read/write — compressed archives of named arrays
• Memory mapping — mmap_npy for zero-copy access to large files
• Text I/O — loadtxt, savetxt, genfromtxt, fromregex with delimiter/comment/skip support
• Format helpers (lib.format): descr_to_dtype, header_data_from_array_1_0, read_array, write_array for low-level header / dtype manipulation
• DataSource — URL / compressed-file abstraction (handles .gz, .bz2, HTTP-fetched inputs transparently)
• Structured dtype support for compound types

Usage

use ferray_io::{save_npy, load_npy};
use ferray_core::prelude::*;

let a = Array1::<f64>::linspace(0.0, 1.0, 1000)?;
save_npy("data.npy", &a)?;
let b: Array1<f64> = load_npy("data.npy")?;

This crate is re-exported through the main ferray crate with the io feature (enabled by default).

License

MIT OR Apache-2.0