Struct compress::entropy::ari::table::Model

pub struct Model { /* fields omitted */ }

A simple table of frequencies.

Implementations

impl Model

pub fn new_custom<F>(num_values: usize, threshold: Border, fn_init: F) -> Model where
    F: FnMut(usize) -> Frequency, 

Create a new table with frequencies initialized by a function

pub fn new_flat(num_values: usize, threshold: Border) -> Model

Create a new tanle with all frequencies being equal

pub fn reset_flat(&mut self)

Reset the table to the flat state

pub fn update(&mut self, value: usize, add_log: usize, add_const: Border)

Adapt the table in favor of given 'value' using 'add_log' and 'add_const' to produce the additive factor the higher 'add_log' is, the more concervative is the adaptation

pub fn downscale(&mut self)

Reduce frequencies by 'cut_iter' bits

pub fn get_frequencies<'a>(&'a self) -> &'a [Frequency]

Return read-only frequencies slice

Trait Implementations

impl Model<usize> for Model

fn get_range(&self, value: usize) -> (Border, Border)

Get the probability range of a value

fn find_value(&self, offset: Border) -> (usize, Border, Border)

Find the value by a given probability offset, return with the range

fn get_denominator(&self) -> Border

Get the sum of all probabilities

fn encode(&self, value: V, re: &mut RangeEncoder, out: &mut [Symbol]) -> usize

Encode a value using a range encoder return the number of symbols written

fn decode(&self, code: Border, re: &mut RangeEncoder) -> (V, usize)

Decode a value using given 'code' on the range encoder return a (value, num_symbols_to_shift) pair