arithmetic_coding_core/model/one_shot.rs
1//! Helper trait for creating Models which only accept a single symbol
2
3use std::ops::Range;
4
5pub use crate::fixed_length::Wrapper;
6use crate::{fixed_length, BitStore};
7
8/// A [`Model`] is used to calculate the probability of a given symbol occurring
9/// in a sequence.
10///
11/// The [`Model`] is used both for encoding and decoding. A
12/// 'one-shot' only ever encodes a single symbol, and so does
13/// not need to encode an EOF symbol.
14///
15/// A one-shot [`Model`] is a special case of the [`fixed_length::Model`].
16///
17/// A one-shot model can be converted into a regular model using the
18/// convenience [`Wrapper`] type.
19///
20/// The more accurately a [`Model`] is able to predict the next symbol, the
21/// greater the compression ratio will be.
22///
23/// # Example
24///
25/// ```
26/// # use std::convert::Infallible;
27/// # use std::ops::Range;
28/// #
29/// # use arithmetic_coding_core::one_shot;
30///
31/// pub enum Symbol {
32/// A,
33/// B,
34/// C,
35/// }
36///
37/// pub struct MyModel;
38///
39/// impl one_shot::Model for MyModel {
40/// type B = u32;
41/// type Symbol = Symbol;
42/// type ValueError = Infallible;
43///
44/// fn probability(&self, symbol: &Self::Symbol) -> Result<Range<u32>, Infallible> {
45/// Ok(match symbol {
46/// Symbol::A => 0..1,
47/// Symbol::B => 1..2,
48/// Symbol::C => 2..3,
49/// })
50/// }
51///
52/// fn symbol(&self, value: Self::B) -> Self::Symbol {
53/// match value {
54/// 0..1 => Symbol::A,
55/// 1..2 => Symbol::B,
56/// 2..3 => Symbol::C,
57/// _ => unreachable!(),
58/// }
59/// }
60///
61/// fn max_denominator(&self) -> u32 {
62/// 3
63/// }
64/// }
65/// ```
66pub trait Model {
67 /// The type of symbol this [`Model`] describes
68 type Symbol;
69
70 /// Invalid symbol error
71 type ValueError: std::error::Error;
72
73 /// The internal representation to use for storing integers
74 type B: BitStore;
75
76 /// Given a symbol, return an interval representing the probability of that
77 /// symbol occurring.
78 ///
79 /// This is given as a range, over the denominator given by
80 /// [`Model::denominator`]. This range should in general include `EOF`,
81 /// which is denoted by `None`.
82 ///
83 /// For example, from the set {heads, tails}, the interval representing
84 /// heads could be `0..1`, and tails would be `1..2`, and `EOF` could be
85 /// `2..3` (with a denominator of `3`).
86 ///
87 /// This is the inverse of the [`Model::symbol`] method
88 ///
89 /// # Errors
90 ///
91 /// This returns a custom error if the given symbol is not valid
92 fn probability(&self, symbol: &Self::Symbol) -> Result<Range<Self::B>, Self::ValueError>;
93
94 /// The maximum denominator used for probability ranges. See
95 /// [`Model::probability`].
96 ///
97 /// This value is used to calculate an appropriate precision for the
98 /// encoding, therefore this value must not change, and
99 /// [`Model::denominator`] must never exceed it.
100 fn max_denominator(&self) -> Self::B;
101
102 /// Given a value, return the symbol whose probability range it falls in.
103 ///
104 /// `None` indicates `EOF`
105 ///
106 /// This is the inverse of the [`Model::probability`] method
107 fn symbol(&self, value: Self::B) -> Self::Symbol;
108}
109
110impl<T> fixed_length::Model for T
111where
112 T: Model,
113{
114 type B = T::B;
115 type Symbol = T::Symbol;
116 type ValueError = T::ValueError;
117
118 fn probability(&self, symbol: &Self::Symbol) -> Result<Range<Self::B>, Self::ValueError> {
119 Model::probability(self, symbol)
120 }
121
122 fn max_denominator(&self) -> Self::B {
123 self.max_denominator()
124 }
125
126 fn symbol(&self, value: Self::B) -> Self::Symbol {
127 Model::symbol(self, value)
128 }
129
130 fn length(&self) -> usize {
131 1
132 }
133
134 fn denominator(&self) -> Self::B {
135 self.max_denominator()
136 }
137}