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//! This crate implments xsum algorithm by Radford M. Neal (<https://arxiv.org/abs/1505.05571>).
//!
//! xsum is able to calculate fast exact summation
//!
//! ⚠️ Currently, xsum supports `f64` calculation only.
//!
//! # Usage
//!
//! ## `add_list()` to take vector or array
//!
//! Calculates the sum of a small-sized vector or array.
//!
//! ```
//! use xsum::{Xsum, XsumSmall};
//!
//! let mut xsmall = XsumSmall::new();
//! xsmall.add_list(&vec![1.0, 2.0, 3.0]);
//! assert_eq!(xsmall.sum(), 6.0);
//! ```
//!
//! Calculates the sum of a large-sized vector or array (more than 1,000 elements).
//!
//! ```
//! use xsum::{Xsum, XsumLarge};
//!
//! let mut xlarge = XsumLarge::new();
//! xlarge.add_list(&vec![1.0; 1_000]);
//! assert_eq!(xlarge.sum(), 1000.0);
//! ```
//!
//! Calculates the sum of a unknown-sized vector or array.
//!
//! ```
//! use xsum::{Xsum, XsumAuto};
//!
//! let mut xauto = XsumAuto::new();
//! xauto.add_list(&vec![1.0; 1_000]);
//! assert_eq!(xauto.sum(), 1000.0);
//! ```
//!
//! ## `add()` to take a floating point number
//!
//! ```
//! use xsum::{Xsum, XsumSmall};
//!
//! let mut xsmall = XsumSmall::new();
//! let vec = vec![1.0, 2.0, 3.0];
//! for v in vec {
//! xsmall.add(v);
//! }
//! assert_eq!(xsmall.sum(), 6.0);
//! ```
//!
//! ## Chaining Method
//!
//! ```
//! use xsum::{Xsum, XsumExt};
//!
//! let vec = vec![1.0, 2.0, 3.0];
//! assert_eq!(vec.xsum(), 6.0);
//! ```
pub use XSUM_THRESHOLD;
pub use Xsum;
pub use XsumExt;
pub use XsumAuto;
pub use XsumLarge;
pub use XsumSmall;