Struct redux::model::AdaptiveLinearModel

pub struct AdaptiveLinearModel { /* fields omitted */ }

Adaptive model that uses a simple array for cumulative freq and simple, but slow linear algorithms for operations.

Methods

impl AdaptiveLinearModel

fn new(p: Parameters) -> Box<Model>

Initializes the model with the given parameters.

Trait Implementations

impl Model for AdaptiveLinearModel

fn parameters<'a>(&'a self) -> &'a Parameters

Returns the arithmetic compression parameters.

fn total_frequency(&self) -> u64

Returns the maximum cumulative frequency.

fn get_frequency(&mut self, symbol: usize) -> Result<(u64, u64)>

Returns the cumulative frequency range for the given input symbol.

fn get_symbol(&mut self, value: u64) -> Result<(usize, u64, u64)>

Returns the symbol that corresponds to the given cumulative frequency.

fn get_freq_table(&self) -> Vec<(u64, u64)>

Returns the cumulative frequency table for debugging purposes.