nits
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@ -11,7 +11,7 @@ impl Buf {
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}
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// Truncate x and y and return a corresponding index into the data slice.
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fn index(&self, x: f32, y: f32) -> usize {
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const fn index(&self, x: f32, y: f32) -> usize {
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// x/y can come in negative, hence we shift them by width/height.
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let i = (x + self.width as f32) as usize & (self.width - 1);
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let j = (y + self.height as f32) as usize & (self.height - 1);
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@ -1,5 +1,6 @@
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use crate::{grid::Grid, palette::Palette};
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use image::RgbImage;
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use itertools::multizip;
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/// Stores data that is located in grids that is used for image generation
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@ -48,16 +49,6 @@ impl ThinGridData {
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.select_nth_unstable_by(index, |a, b| a.partial_cmp(b).unwrap());
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sorted[index]
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}
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pub fn size_of(&self) -> usize {
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let mut output: usize = 0;
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output += std::mem::size_of_val(&self.width);
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output += std::mem::size_of_val(&self.height);
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for i in self.data.iter() {
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output += std::mem::size_of_val(&i);
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}
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output
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}
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}
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/// Class for storing data that will be used to create images
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@ -65,29 +56,17 @@ impl ThinGridData {
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pub struct ImgData {
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pub grids: Vec<ThinGridData>,
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pub palette: Palette,
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pub iteration: i32,
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}
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impl ImgData {
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pub fn new(in_grids: Vec<ThinGridData>, in_palette: Palette, in_iteration: i32) -> Self {
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pub fn new(in_grids: Vec<ThinGridData>, in_palette: Palette) -> Self {
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ImgData {
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grids: in_grids,
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palette: in_palette,
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iteration: in_iteration,
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}
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}
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pub fn size_of(&self) -> usize {
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let mut output: usize = 0;
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output += std::mem::size_of_val(&self.iteration);
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output += std::mem::size_of_val(&self.palette);
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for grid in self.grids.iter() {
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output += grid.size_of();
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}
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output
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}
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pub fn save_to_image(&self) {
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pub fn to_image(&self) -> RgbImage {
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let (width, height) = (self.grids[0].width, self.grids[0].height);
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let mut img = image::RgbImage::new(width as u32, height as u32);
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@ -116,8 +95,6 @@ impl ImgData {
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img.put_pixel(x as u32, y as u32, image::Rgb([r as u8, g as u8, b as u8]));
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}
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}
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img.save(format!("./tmp/out_{}.png", self.iteration).as_str())
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.unwrap();
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img
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}
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}
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69
src/model.rs
69
src/model.rs
@ -23,13 +23,13 @@ pub struct Model {
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diffusivity: usize,
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// Current model iteration.
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iteration: i32,
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iteration: usize,
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// Color palette
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palette: Palette,
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// List of ImgData to be processed post-simulation into images
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img_data_vec: Vec<ImgData>,
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img_data_vec: Vec<(usize, ImgData)>,
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}
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impl Model {
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@ -143,15 +143,11 @@ impl Model {
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);
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}
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fn size_of_imgdata_vec(&self) -> usize {
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self.img_data_vec[0].size_of() * self.img_data_vec.len()
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}
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fn save_image_data(&mut self) {
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let grids = ThinGridData::new_from_grid_vec(self.grids.clone());
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let img_data = ImgData::new(grids, self.palette, self.iteration);
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self.img_data_vec.push(img_data);
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let size: usize = self.size_of_imgdata_vec();
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let img_data = ImgData::new(grids, self.palette);
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self.img_data_vec.push((self.iteration + 1, img_data));
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let size: usize = std::mem::size_of_val(&self.img_data_vec);
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let mb = size / 1024 / 1024;
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// println!("{} B | {} KB | {} MB", size, size/1024, size/1024/1024);
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@ -171,7 +167,7 @@ impl Model {
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self.img_data_vec.clear();
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}
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pub fn render_all_imgdata(&self) {
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pub fn render_all_imgdata(&mut self) {
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if !Path::new("./tmp").exists() {
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std::fs::create_dir("./tmp").expect("could create directory");
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}
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@ -181,56 +177,15 @@ impl Model {
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"{spinner:.green} [{elapsed_precise}] [{bar:40.cyan/blue}] ({pos}/{len}, {percent}%, {per_sec})",
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));
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/*
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for img in &self.img_data_vec {
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Self::save_to_image(img.to_owned());
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pb.inc(1);
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}
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pb.finish();
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*/
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self.img_data_vec
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.drain(..)
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.collect::<Vec<_>>()
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.par_iter()
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.progress_with(pb)
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.for_each(|img| {
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// Self::save_to_image(img.to_owned());
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img.save_to_image();
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.for_each(|(i, img)| {
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img.to_image()
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.save(format!("./tmp/out_{}.png", i).as_str())
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.unwrap();
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});
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}
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/*
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pub fn save_to_image(imgdata: ImgData) {
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let (width, height) = (imgdata.grids[0].width, imgdata.grids[0].height);
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let mut img = image::RgbImage::new(width as u32, height as u32);
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let max_values: Vec<_> = imgdata
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.grids
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.iter()
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.map(|grid| grid.quantile(0.999) * 1.5)
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.collect();
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for y in 0..height {
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for x in 0..width {
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let i = y * width + x;
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let (mut r, mut g, mut b) = (0.0_f32, 0.0_f32, 0.0_f32);
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for (grid, max_value, color) in
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multizip((&imgdata.grids, &max_values, &imgdata.palette.colors))
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{
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let mut t = (grid.data()[i] / max_value).clamp(0.0, 1.0);
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t = t.powf(1.0 / 2.2); // gamma correction
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r += color.0[0] as f32 * t;
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g += color.0[1] as f32 * t;
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b += color.0[2] as f32 * t;
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}
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r = r.clamp(0.0, 255.0);
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g = g.clamp(0.0, 255.0);
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b = b.clamp(0.0, 255.0);
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img.put_pixel(x as u32, y as u32, image::Rgb([r as u8, g as u8, b as u8]));
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}
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}
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img.save(format!("./tmp/out_{}.png", imgdata.iteration).as_str())
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.unwrap();
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}
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*/
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}
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