datasketches 0.6.0

A software library of stochastic streaming algorithms (a.k.a. sketches)
Documentation
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//! KLL sketch implementation for estimating quantiles and ranks.
//!
//! KLL is a compact, streaming quantiles sketch with lazy compaction and
//! near-optimal accuracy per retained item. It supports one-pass updates,
//! approximate quantiles, ranks, PMF, and CDF queries.
//!
//! The compact binary serialization format supports cross-language interchange.
//!
//! Items must implement [`Ord`]. Wrap `f32` or `f64` values in [`KllFloat`], which rejects NaN and
//! provides their ordinary numerical order. Custom ordering should be expressed with a newtype
//! that implements [`Ord`], keeping the ordering semantics part of the item type.
//!
//! # Usage
//!
//! ```rust
//! use datasketches::common::SearchCriteria;
//! use datasketches::kll::KllSketch;
//!
//! let mut sketch = KllSketch::<i64>::new(200)?;
//! sketch.update(1);
//! sketch.update(2);
//! let Some(q) = sketch.quantile(0.5, SearchCriteria::Inclusive)? else {
//!     return Ok(()); // No samples to query.
//! };
//! assert!((1..=2).contains(&q));
//! # Ok::<(), datasketches::error::Error>(())
//! ```

mod capacity;
mod serialization;
mod sketch;
mod sorted_view;
mod value;

pub use self::sketch::KllSketch;
pub use self::sorted_view::SortedView;
pub use self::value::KllFloat;
pub use self::value::KllValue;
/// Default value of parameter k.
const DEFAULT_K: u16 = 200;
/// Default value of parameter m.
const DEFAULT_M: u8 = 8;
/// Minimum value of parameter k.
const MIN_K: u16 = DEFAULT_M as u16;
/// Maximum value of parameter k.
const MAX_K: u16 = u16::MAX;