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wibble_mascot.rs
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wibble_mascot.rs
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use flo_draw::*;
use flo_draw::canvas::*;
use flo_curves::*;
use flo_curves::bezier::*;
use flo_curves::bezier::path::*;
use rayon::iter::*;
use futures::prelude::*;
use futures::executor;
use futures::stream;
use std::f64;
use std::thread;
use std::time::{Duration, Instant};
///
/// Demonstrates capturing the paths for a complicated rendering and distorting them with a ripple pattern
///
pub fn main() {
with_2d_graphics(|| {
// Decode the mascot rendering
let mascot = decode_drawing(MASCOT.chars()).collect::<Result<Vec<Draw>, _>>().unwrap();
// Create a window
let canvas = create_drawing_window("Wibbling mascot");
// Convert the mascot to a set of paths (note we skip the setup steps here so the paths are not affected by the initial transformation matrix)
let render_mascot = stream::iter(mascot.into_iter().skip(4));
let mascot_paths = drawing_to_attributed_paths::<SimpleBezierPath, _>(render_mascot);
let mascot_paths = executor::block_on(async move { mascot_paths.collect::<Vec<_>>().await });
// Draw the mascot with a moving distortion
let start_time = Instant::now();
loop {
// Get the current time where we're rendering this
let since_start = Instant::now().duration_since(start_time);
let since_start = since_start.as_nanos() as f64;
let amplitude = 12.0;
// Distort each of the paths in turn
let distorted_mascot = mascot_paths.par_iter()
.map(|(attributes, path_set)| (attributes, path_set.iter()
.map(move |path: &SimpleBezierPath| distort_path::<_, _, SimpleBezierPath>(path, |point: Coord2, _curve, _t| {
let distance = point.magnitude();
let ripple = (since_start / (f64::consts::PI * 500_000_000.0)) * 10.0;
let offset_x = (distance / (f64::consts::PI*5.0) + ripple).sin() * amplitude * 0.5;
let offset_y = (distance / (f64::consts::PI*4.0) + ripple).cos() * amplitude * 0.5;
Coord2(point.x() + offset_x, point.y() + offset_y)
}, 2.0, 1.0).unwrap())
.collect::<Vec<_>>()))
.collect::<Vec<_>>();
// Render the current frame
canvas.draw(|gc| {
// Clear the canvas
gc.clear_canvas(Color::Rgba(0.56, 0.72, 0.72, 1.0));
gc.canvas_height(768.0);
gc.transform(Transform2D::scale(1.0, -1.0));
gc.center_region(0.0, 0.0, 1024.0, 768.0);
gc.fill_color(Color::Rgba(1.0, 1.0, 1.0, 1.0));
gc.stroke_color(Color::Rgba(0.0, 0.0, 0.0, 1.0));
gc.line_width(6.0);
// Render the distorted paths
for (attributes, path_set) in distorted_mascot {
gc.render_bezier_shape(attributes, &path_set);
}
});
// Wait for the next frame
thread::sleep(Duration::from_nanos(1_000_000_000 / 60));
}
});
}
/// Mascot in canvas encoding form
const MASCOT: &'static str = "
NARdyJn+A+2bP/AHaoB/AAAAg/A
ThAAAQEB
TmAAAg/AAAAAAAAAAAAAAAAAAAAAAg/CAAAAAAAAAAAAAAAAAAAAAg/A
TcAAAAAAAAAAAAAAAgEBAAAQEB
P
Tmm8dDBBAAAAAA9oAsEDAAAAAAm8dDBBPyEmFDAAAAAAAAAAAAAAAg/A
P
P
P
TmAAAQBBAAAAAAf/oQDBAAAAAAAAAQBBSslGEBAAAAAAAAAAAAAAAg/A
Np
my2579AAAAAAC
ly2579AwKH6+C
lKc9I9Anvf6+C
c2Of/8AoFZ7+CWO0C9Anvf6+C2Of/8AfU46+C
l2Of/8AhAr8+C
ly2579AhAr8+C
ly2579Ac9oA/C
c46RB+AZ78F/Cy2579Ax1jC/CZ7899AzhWE/C
cxgAL+AwKHK/CEYlD+A/UjH/C++pG+AKc9I/C
c67na+AzMzM/C/pGP+AW5QL/CFueU+AXPKM/C
cktzn+A9owN/C3kYg+AGEYN/Cpw1j+A9owN/C
cAAAw+AiWkN/C67nq+A9owN/C99Tt+A0isN/C
ctIb3+A99TN/Cx1jy+AGEYN/ChrH1+A99TN/C
lDXP6+A99TN/C
lDXP6+AAAAAAC
ljX62+AAAAAAC
ljX62+AXPKM/C
cJbnv+ApbSM/CqGv0+AXPKM/CMdTy+AgVOM/C
ccSMo+AFueM/CGZ7s+A8naM/Cnvfq+AFueM/C
c0isd+ANepL/CqGvk+AFueM/CdTih+AXPKM/C
cSMIQ+A46RJ/CueUY+A6mEL/CXktT+AMdTK/C
cShrH+AZQgF/CpbSM+AcSMI/CUNeJ+Atd+G/C
cY6mE+Ac9oA/CrcoF+AFDCE/CY6mE+AepbC/C
lY6mE+AhAr8+C
lrcol+AhAr8+C
lrcol+AwKH6+C
l8S3E+AwKH6+C
l8S3E+AAAAAAC
ly2579AAAAAAC
.
CfRJjMS/Au3eb/AdzNX/AAAAg/A
F
p
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TmAAAQBBAAAAAAdTSSDBAAAAAAAAAQBBSslGEBAAAAAAAAAAAAAAAg/A
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cyLdj+APKcd8C/UjX+AxgAr8CIFue+APKcd8C
.
CfRJjMS/Au3eb/AdzNX/AAAAg/A
F
p
P
TmAAAQBBAAAAAA3k8TDBAAAAAAAAAQBBSslGEBAAAAAAAAAAAAAAAg/A
p
P
TmAAAQBBAAAAAAUNSVDBAAAAAAAAAQBBSslGEBAAAAAAAAAAAAAAAg/A
Np
mb8S3+Aepby+C
c14lu+AxgA7+CY6m0+AamZ2+CCsyx+ACBW5+C
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cLHaR+AW5Q7+CIFue+AiWk9+C/UjX+AzMz8+C
cnEDC+APf/0+CW5QL+A5lu5+C1NJG+AShr3+C
cwfqx9AoFZr+Cy2579AMdTy+C9ow19A/pGv+C
c7Rhr9Atd+e+CiWkt9AShrn+C7Rhr9AXktj+C
cTiBB+A8S3k9C7Rhr9AMIwK+CNzMz9Aktz39C
cmuJh+APKcd8ClDtI+AWO0C9CXktT+APKcd8C
cPKct+AYlDN9CZQgl+APKcd8CmZmp+ANzMz8C
cb8S3+Atd++9CmuJx+AlYQg9CFue0+AiWkt9C
lb8S3+Aepby+C
.
mMIw6+AHaRO/C
lMIw6+AAAAAAC
lv0N5+AAAAAAC
cktz3+AKc9I8CueU4+AAAAAACktz3+AmuJR7C
ltIb3+A5QLy9C
c99Tt+AYlDt8CY6m0+ACsyh9C46Rx+AKc9I9C
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cIFuu+AiWk9+C/Ujn+AJGEA/CoFZr+AR2O/+C
cb8S3+A9ow1+CnEDy+Agqx7+C8S30+Av0N5+C
lb8S3+AHaRO/C
lMIw6+AHaRO/C
.
CfRJjMS/Au3eb/AdzNX/AAAAg/A
F
p
P
TmAAAQBBAAAAAAtI7WDBAAAAAAAAAQBBSslGEBAAAAAAAAAAAAAAAg/A
Np
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cpw1D+AQ141+CZ7899ATiBx+C46RB+AEYlz+C
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cf/Uj+AJGEA/C8nac+Abnv/+Cc9og+AJGEA/C
c2jCn+Auz3/+CFuek+AJGEA/C9owl+AAAAA/C
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cfU469AUNep+CdTiB+A2Ofv+Ctd++9AhArs+C
lfU469AAAAAAC
lYlDt9AAAAAAC
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c4P149A0is9+CRLy29A/pG/+CueU49A14l++C
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.
CfRJjMS/Au3eb/AdzNX/AAAAg/A
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p
P
TmAAAQBBAAAAAAep7XDBAAAAAAAAAQBBSslGEBAAAAAAAAAAAAAAAg/A
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