use crate::colour::Colour; use std::collections::HashSet; const MAX_COLOURS: usize = 256; const MAX_COLOURS_PER_PALETTE: usize = 16; #[derive(Debug, Clone, Eq, PartialEq, Hash)] pub(crate) struct Palette16 { colours: Vec, } impl Palette16 { pub fn new() -> Self { Palette16 { colours: Vec::with_capacity(MAX_COLOURS_PER_PALETTE), } } pub fn add_colour(&mut self, colour: Colour) -> bool { if self.colours.contains(&colour) { return false; } if self.colours.len() == MAX_COLOURS_PER_PALETTE { panic!("Can have at most 16 colours in a single palette"); } self.colours.push(colour); true } pub fn colour_index(&self, colour: Colour) -> u8 { self.colours .iter() .position(|c| *c == colour) .expect("Can't get a colour index without it existing") as u8 } fn union_length(&self, other: &Palette16) -> usize { self.colours .iter() .chain(&other.colours) .collect::>() .len() } fn is_satisfied_by(&self, other: &Palette16) -> bool { self.colours .iter() .collect::>() .is_subset(&other.colours.iter().collect::>()) } } impl IntoIterator for Palette16 { type Item = Colour; type IntoIter = std::vec::IntoIter; fn into_iter(self) -> Self::IntoIter { self.colours.into_iter() } } pub(crate) struct Palette16Optimiser { palettes: Vec, colours: Vec, } #[derive(Debug)] pub(crate) struct Palette16OptimisationResults { pub optimised_palettes: Vec, pub assignments: Vec, } impl Palette16Optimiser { pub fn new() -> Self { Palette16Optimiser { palettes: vec![], colours: Vec::new(), } } pub fn add_palette(&mut self, palette: Palette16) { self.palettes.push(palette.clone()); for colour in palette.colours { if self.colours.contains(&colour) { continue; } self.colours.push(colour); } if self.colours.len() > MAX_COLOURS { panic!("Cannot have over 256 colours"); } } pub fn optimise_palettes( &self, transparent_colour: Option, ) -> Palette16OptimisationResults { let mut assignments = vec![0; self.palettes.len()]; let mut optimised_palettes = vec![]; let mut unsatisfied_palettes = self .palettes .iter() .cloned() .collect::>(); while !unsatisfied_palettes.is_empty() { let palette = self.find_maximal_palette_for(&unsatisfied_palettes, transparent_colour); for test_palette in unsatisfied_palettes.clone() { if test_palette.is_satisfied_by(&palette) { unsatisfied_palettes.remove(&test_palette); } } for (i, overall_palette) in self.palettes.iter().enumerate() { if overall_palette.is_satisfied_by(&palette) { assignments[i] = optimised_palettes.len(); } } optimised_palettes.push(palette); if optimised_palettes.len() == MAX_COLOURS / MAX_COLOURS_PER_PALETTE { panic!("Failed to find covering palettes"); } } Palette16OptimisationResults { optimised_palettes, assignments, } } fn find_maximal_palette_for( &self, unsatisfied_palettes: &HashSet, transparent_colour: Option, ) -> Palette16 { let mut palette = Palette16::new(); if let Some(transparent_colour) = transparent_colour { palette.add_colour(transparent_colour); } loop { let mut colour_usage = vec![0; MAX_COLOURS]; let mut a_colour_is_used = false; for current_palette in unsatisfied_palettes { if palette.union_length(current_palette) > MAX_COLOURS_PER_PALETTE { continue; } for colour in ¤t_palette.colours { if palette.colours.contains(colour) { continue; } if let Some(colour_index) = self.colours.iter().position(|c| c == colour) { colour_usage[colour_index] += 1; a_colour_is_used = true; } } } if !a_colour_is_used { return palette; } let best_index = colour_usage .iter() .enumerate() .max_by(|(_, usage1), (_, usage2)| usage1.cmp(usage2)) .unwrap() .0; let best_colour = self.colours[best_index]; palette.add_colour(best_colour); if palette.colours.len() == MAX_COLOURS_PER_PALETTE { return palette; } } } }