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use iced::mouse;
use iced::time::{self, Instant};
use iced::widget::canvas;
use iced::widget::canvas::{Cache, Geometry};
use iced::{
Color, Element, Font, Length, Point, Rectangle, Renderer, Subscription,
Theme,
};
pub fn main() -> iced::Result {
iced::program("The Matrix - Iced", TheMatrix::update, TheMatrix::view)
.subscription(TheMatrix::subscription)
.antialiasing(true)
.run()
}
struct TheMatrix {
ticks: usize,
backgrounds: Vec<Cache>,
}
#[derive(Debug, Clone, Copy)]
enum Message {
Tick(Instant),
}
impl TheMatrix {
fn update(&mut self, message: Message) {
match message {
Message::Tick(_now) => {
self.ticks += 1;
}
}
}
fn view(&self) -> Element<Message> {
canvas(self as &Self)
.width(Length::Fill)
.height(Length::Fill)
.into()
}
fn subscription(&self) -> Subscription<Message> {
time::every(std::time::Duration::from_millis(50)).map(Message::Tick)
}
}
impl Default for TheMatrix {
fn default() -> Self {
let mut backgrounds = Vec::with_capacity(30);
backgrounds.resize_with(30, Cache::default);
Self {
ticks: 0,
backgrounds,
}
}
}
impl<Message> canvas::Program<Message> for TheMatrix {
type State = ();
fn draw(
&self,
_state: &Self::State,
renderer: &Renderer,
_theme: &Theme,
bounds: Rectangle,
_cursor: mouse::Cursor,
) -> Vec<Geometry> {
use rand::distributions::Distribution;
use rand::Rng;
const CELL_SIZE: f32 = 10.0;
vec![self.backgrounds[self.ticks % self.backgrounds.len()].draw(
renderer,
bounds.size(),
|frame| {
frame.fill_rectangle(Point::ORIGIN, frame.size(), Color::BLACK);
let mut rng = rand::thread_rng();
let rows = (frame.height() / CELL_SIZE).ceil() as usize;
let columns = (frame.width() / CELL_SIZE).ceil() as usize;
for row in 0..rows {
for column in 0..columns {
let position = Point::new(
column as f32 * CELL_SIZE,
row as f32 * CELL_SIZE,
);
let alphas = [0.05, 0.1, 0.2, 0.5];
let weights = [10, 4, 2, 1];
let distribution =
rand::distributions::WeightedIndex::new(weights)
.expect("Create distribution");
frame.fill_text(canvas::Text {
content: rng.gen_range('!'..'z').to_string(),
position,
color: Color {
a: alphas[distribution.sample(&mut rng)],
g: 1.0,
..Color::BLACK
},
size: CELL_SIZE.into(),
font: Font::MONOSPACE,
..canvas::Text::default()
});
}
}
},
)]
}
}
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