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/*
This program is free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3 of the License, or (at your option)
any later version.
This program is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
more details.
You should have received a copy of the GNU General Public License along
with this program. If not, see https://www.gnu.org/licenses/.
*/
use rand::Rng;
use std::vec;
use clap::Parser;
pub struct Image {
pub height: u16,
pub width: u16,
pub frames: u16,
pub pixels: Vec<u8>,
point_data: Vec<PointData>,
cross_distance: f64,
points: Vec<Point>,
}
#[derive(Clone)]
struct Point {
pub x: u16,
pub y: u16,
}
#[derive(Clone)]
struct PointData {
min_dist: f64,
closest_point: Point,
}
#[derive(Parser, Debug)]
#[clap(author, version, about, long_about = None)]
pub struct Args {
/// width of the image
#[clap(short, long, value_parser)]
pub width: u16,
/// height of the image
#[clap(short, long, value_parser)]
pub height: u16,
/// number of gif frames
#[clap(short, long, value_parser)]
pub frames: u16,
/// number of cells to generate
#[clap(short, long, value_parser)]
pub num_cells: usize,
/// output file
#[clap(short, long, value_parser)]
pub out: String,
}
impl Args {
pub fn read() -> Self {
Args::parse()
}
}
impl Image {
pub fn create_from_args(args: &Args) -> Self {
Image {
height: args.height,
width: args.width,
frames: args.frames,
pixels: vec![0; args.height as usize * args.width as usize * 3],
point_data: vec![
PointData {
min_dist: 0.0,
closest_point: Point { x: 0, y: 0 }
};
args.height as usize * args.width as usize
],
cross_distance: Point { x: 0, y: 0 }.distance(&Point {
x: args.width - 1,
y: args.height - 1,
}),
points: generate_points(args.width, args.height, args.num_cells),
}
}
pub fn fill_canvas(&mut self) {
self.generate_noise();
}
fn generate_noise(&mut self) {
let mut max_dist = 0.0;
// Get distance and nearest point for each point on the canvas
for y in 0..self.height {
for x in 0..self.width {
let index = y as usize * self.width as usize + x as usize;
self.point_data[index] = PointData::get_point_data(self, Point { x, y });
max_dist = f64::max(max_dist, self.point_data[index].min_dist);
}
}
// normalize distances to [0,1]
for y in 0..self.height {
for x in 0..self.width {
let index = y as usize * self.width as usize + x as usize;
self.point_data[index].min_dist /= max_dist;
}
}
// write pixels
for y in 0..self.height {
for x in 0..self.width {
let index = y as usize * self.width as usize + x as usize;
let val = 0xFF - (0xFF as f64 * self.point_data[index].min_dist) as u8;
self.set_pixel(val, val, val, Point { x, y });
}
}
}
fn set_pixel(&mut self, r: u8, g: u8, b: u8, p: Point) {
self.pixels[3 * (self.width as usize * p.y as usize + p.x as usize)] = r;
self.pixels[3 * (self.width as usize * p.y as usize + p.x as usize) + 1] = g;
self.pixels[3 * (self.width as usize * p.y as usize + p.x as usize) + 2] = b;
}
}
impl PointData {
fn get_point_data(image: &Image, p: Point) -> Self {
let mut pd = PointData {
min_dist: image.cross_distance,
closest_point: Point { x: 0, y: 0 },
};
for point in &image.points {
let d = p.distance(point);
if d < pd.min_dist {
pd.min_dist = d;
pd.closest_point = point.clone();
}
}
pd
}
}
impl Point {
fn distance(&self, other: &Point) -> f64 {
let x_dist: f64 = other.x as f64 - self.x as f64;
let y_dist: f64 = other.y as f64 - self.y as f64;
(x_dist * x_dist + y_dist * y_dist).sqrt()
}
}
fn generate_points(width: u16, height: u16, num_cells: usize) -> Vec<Point> {
let mut points = vec![Point { x: 0, y: 0 }; num_cells];
for p in &mut points {
p.x = rand::thread_rng().gen_range(0..width);
p.y = rand::thread_rng().gen_range(0..height);
}
points
}
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