use std::{fs::File, io::Read, ops::Range}; use arithmetic_coding_adder_dep::Model; use fenwick_model::{simple::FenwickModel, ValueError}; mod common; #[derive(Debug, Clone)] pub struct StringModel { fenwick_model: FenwickModel, } impl StringModel { #[must_use] pub fn new(symbols: usize) -> Self { let fenwick_model = FenwickModel::builder(symbols, 1 << 20) .panic_on_saturation() .build(); Self { fenwick_model } } } #[derive(Debug, thiserror::Error)] #[error("invalid character: {0}")] pub struct Error(char); impl Model for StringModel { type B = u64; type Symbol = u8; type ValueError = ValueError; fn probability( &self, symbol: Option<&Self::Symbol>, ) -> Result, Self::ValueError> { let fenwick_symbol = symbol.map(|c| *c as usize); self.fenwick_model.probability(fenwick_symbol.as_ref()) } fn symbol(&self, value: Self::B) -> Option { self.fenwick_model.symbol(value).map(|x| x as u8) } fn max_denominator(&self) -> Self::B { self.fenwick_model.max_denominator() } fn denominator(&self) -> Self::B { self.fenwick_model.denominator() } } fn round_trip(input: &[u8]) { let model = StringModel::new(256); common::round_trip(model, input); } use criterion::{black_box, criterion_group, criterion_main, Criterion}; #[allow(clippy::missing_panics_doc)] pub fn criterion_benchmark(c: &mut Criterion) { let mut input_string = String::new(); File::open("./resources/sherlock.txt") .unwrap() .read_to_string(&mut input_string) .unwrap(); let truncated: String = input_string.chars().take(3428).collect(); let input = truncated.as_bytes(); c.bench_function("round trip", |b| b.iter(|| round_trip(black_box(input)))); } criterion_group!(benches, criterion_benchmark); criterion_main!(benches);