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#[cfg(feature = "serialize")] use serde::{Deserialize, Serialize}; #[cfg(feature = "rand")] pub mod sample; #[derive(Debug, Clone, Copy)] #[cfg_attr(feature = "serialize", derive(Serialize, Deserialize))] pub struct WeightsU16 { r: u16, g: u16, b: u16, sum: u32, } impl WeightsU16 { pub const fn new(r: u16, g: u16, b: u16) -> Self { Self { r, g, b, sum: r as u32 + g as u32 + b as u32, } } } #[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)] #[cfg_attr(feature = "serialize", derive(Serialize, Deserialize))] pub struct Rgb24 { pub r: u8, pub g: u8, pub b: u8, } impl Rgb24 { pub const fn new(r: u8, g: u8, b: u8) -> Self { Self { r, g, b } } pub const fn new_grey(c: u8) -> Self { Self::new(c, c, c) } pub fn floor(self, min: u8) -> Self { Self { r: self.r.max(min), g: self.g.max(min), b: self.b.max(min), } } pub fn ceil(self, max: u8) -> Self { Self { r: self.r.min(max), g: self.g.min(max), b: self.b.min(max), } } pub fn to_f32_rgb(self) -> [f32; 3] { [ self.r as f32 / 255., self.g as f32 / 255., self.b as f32 / 255., ] } pub fn to_f32_rgba(self, alpha: f32) -> [f32; 4] { [ self.r as f32 / 255., self.g as f32 / 255., self.b as f32 / 255., alpha, ] } pub fn saturating_add(self, other: Self) -> Self { Self { r: self.r.saturating_add(other.r), g: self.g.saturating_add(other.g), b: self.b.saturating_add(other.b), } } pub fn saturating_sub(self, other: Self) -> Self { Self { r: self.r.saturating_sub(other.r), g: self.g.saturating_sub(other.g), b: self.b.saturating_sub(other.b), } } pub fn saturating_scalar_mul(self, scalar: u32) -> Self { fn single_channel(channel: u8, scalar: u32) -> u8 { let as_u32 = channel as u32 * scalar; as_u32.min(::std::u8::MAX as u32) as u8 } Self { r: single_channel(self.r, scalar), g: single_channel(self.g, scalar), b: single_channel(self.b, scalar), } } pub fn scalar_div(self, scalar: u32) -> Self { fn single_channel(channel: u8, scalar: u32) -> u8 { let as_u32 = channel as u32 / scalar; as_u32.min(::std::u8::MAX as u32) as u8 } Self { r: single_channel(self.r, scalar), g: single_channel(self.g, scalar), b: single_channel(self.b, scalar), } } pub fn saturating_scalar_mul_div(self, numerator: u32, denominator: u32) -> Self { fn single_channel(channel: u8, numerator: u32, denominator: u32) -> u8 { let as_u32 = ((channel as u32) * (numerator)) / denominator; as_u32.min(::std::u8::MAX as u32) as u8 } Self { r: single_channel(self.r, numerator, denominator), g: single_channel(self.g, numerator, denominator), b: single_channel(self.b, numerator, denominator), } } pub const fn normalised_mul(self, other: Self) -> Self { const fn single_channel(a: u8, b: u8) -> u8 { ((a as u32 * b as u32) / 255) as u8 } Self { r: single_channel(self.r, other.r), g: single_channel(self.g, other.g), b: single_channel(self.b, other.b), } } pub const fn normalised_scalar_mul(self, scalar: u8) -> Self { const fn single_channel(c: u8, scalar: u8) -> u8 { ((c as u32 * scalar as u32) / 255) as u8 } Self { r: single_channel(self.r, scalar), g: single_channel(self.g, scalar), b: single_channel(self.b, scalar), } } pub const fn linear_interpolate(self, to: Rgb24, by: u8) -> Self { const fn interpolate_channel(from: u8, to: u8, by: u8) -> u8 { let total_delta = to as i32 - from as i32; let current_delta = (total_delta * by as i32) / 255; (from as i32 + current_delta) as u8 } Self { r: interpolate_channel(self.r, to.r, by), g: interpolate_channel(self.g, to.g, by), b: interpolate_channel(self.b, to.b, by), } } pub fn min_channel(self) -> u8 { self.r.min(self.g).min(self.b) } pub fn max_channel(self) -> u8 { self.r.max(self.g).max(self.b) } pub fn saturating_channel_total(self) -> u8 { self.r.saturating_add(self.g).saturating_add(self.b) } pub const fn complement(self) -> Self { Self { r: 255 - self.r, g: 255 - self.g, b: 255 - self.b, } } pub const fn weighted_mean_u16(self, weights: WeightsU16) -> u8 { let weighted_sum = self.r as u32 * weights.r as u32 + self.g as u32 * weights.g as u32 + self.b as u32 * weights.b as u32; (weighted_sum / weights.sum) as u8 } } #[cfg(test)] mod test { use super::*; #[test] fn add() { let a = Rgb24::new(255, 0, 200); let b = Rgb24::new(0, 255, 200); let c = a.saturating_add(b); assert_eq!(c, Rgb24::new(255, 255, 255)); } #[test] fn sub() { let a = Rgb24::new(255, 0, 200); let b = Rgb24::new(0, 255, 200); let c = a.saturating_sub(b); assert_eq!(c, Rgb24::new(255, 0, 0)); } #[test] fn mul_div() { assert_eq!( Rgb24::new(1, 2, 3).saturating_scalar_mul_div(1500, 1000), Rgb24::new(1, 3, 4) ); assert_eq!( Rgb24::new(1, 2, 3).saturating_scalar_mul_div(1500, 1), Rgb24::new(255, 255, 255) ); } #[test] fn mul() { assert_eq!( Rgb24::new(20, 40, 60).saturating_scalar_mul(2), Rgb24::new(40, 80, 120), ); assert_eq!( Rgb24::new(20, 40, 60).saturating_scalar_mul(10000), Rgb24::new(255, 255, 255), ); } #[test] fn div() { assert_eq!(Rgb24::new(20, 40, 60).scalar_div(2), Rgb24::new(10, 20, 30)); assert_eq!( Rgb24::new(255, 255, 255).scalar_div(256), Rgb24::new(0, 0, 0) ); } #[test] #[should_panic] fn div_by_zero() { Rgb24::new(0, 0, 0).scalar_div(0); } #[test] fn normalised_mul() { assert_eq!( Rgb24::new(255, 255, 255).normalised_mul(Rgb24::new(1, 2, 3)), Rgb24::new(1, 2, 3) ); assert_eq!( Rgb24::new(255, 127, 0).normalised_mul(Rgb24::new(10, 20, 30)), Rgb24::new(10, 9, 0) ); } #[test] fn grey() { assert_eq!(Rgb24::new_grey(37), Rgb24::new(37, 37, 37)); } #[test] fn floor() { assert_eq!(Rgb24::new(100, 5, 0).floor(10), Rgb24::new(100, 10, 10)); } #[test] fn ceil() { assert_eq!(Rgb24::new(255, 250, 20).ceil(200), Rgb24::new(200, 200, 20)); } #[test] fn normalised_scalar_mul() { assert_eq!( Rgb24::new(255, 128, 0).normalised_scalar_mul(128), Rgb24::new(128, 64, 0) ); } #[test] fn interpolate() { let from = Rgb24::new(0, 255, 100); let to = Rgb24::new(255, 0, 120); assert_eq!(from.linear_interpolate(to, 0), from); assert_eq!(from.linear_interpolate(to, 255), to); assert_eq!(from.linear_interpolate(to, 63), Rgb24::new(63, 192, 104)); } #[test] fn weighted_mean() { assert_eq!( Rgb24::new(14, 120, 201).weighted_mean_u16(WeightsU16::new(0, 0, 1)), 201 ); assert_eq!( Rgb24::new(14, 120, 201).weighted_mean_u16(WeightsU16::new(299, 587, 114)), 97 ); assert_eq!( Rgb24::new(0, 0, 0).weighted_mean_u16(WeightsU16::new(299, 587, 114)), 0 ); assert_eq!( Rgb24::new(255, 255, 255).weighted_mean_u16(WeightsU16::new(299, 587, 114)), 255 ); assert_eq!( Rgb24::new(255, 255, 255).weighted_mean_u16(WeightsU16::new( std::u16::MAX, std::u16::MAX, std::u16::MAX )), 255 ); } #[test] #[should_panic] fn weighted_mean_zero() { Rgb24::new(1, 2, 3).weighted_mean_u16(WeightsU16::new(0, 0, 0)); } }