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// cargo-deps: hsl, image, csv = "1.0.0-beta.4", serde, serde_derive
extern crate csv;
extern crate hsl;
extern crate image;
extern crate serde;
#[macro_use]
extern crate serde_derive;
use std::collections::BTreeSet;
use std::io;
#[derive(Debug, Deserialize)]
#[serde(rename_all = "camelCase")]
struct Tile {
tile_x: usize,
tile_y: usize,
create_time: u64,
modify_count: u64,
modify_time: u64,
access_count: u64,
access_time: u64,
}
// Torus size (in tiles).
const TORUS_SZ: u32 = 512;
// Tile width/height (in pixels).
const TILE_W: u32 = 4;
const TILE_H: u32 = 1;
fn main() {
// Read the `torus.csv` into a 2D array of `(access, modify)`.
// Also track the values we see in `BTreeSet` (for ordering).
let mut tiles = [[(0, 0); TORUS_SZ as usize]; TORUS_SZ as usize];
let mut ord_a = BTreeSet::new();
let mut ord_m = BTreeSet::new();
for result in csv::Reader::from_reader(io::stdin()).deserialize() {
let Tile {
access_count: a,
modify_count: m,
tile_x: x,
tile_y: y,
..
} = result.unwrap();
// HACK(eddyb) ignore 0,0 for analysis - too busy.
if (x, y) != (0, 0) {
ord_a.insert(a);
ord_m.insert(m);
}
tiles[y][x] = (a, m);
}
// Extract the maximum values.
// TODO(eddyb) chunk values for better representation.
let max_a = ord_a.iter().next_back().cloned().unwrap_or(0) as f64;
let max_m = ord_m.iter().next_back().cloned().unwrap_or(0) as f64;
// Compose the heatmap image in-memory from the 2D array.
let mut heatmap = image::ImageBuffer::new(TORUS_SZ * TILE_W, TORUS_SZ * TILE_H);
let red = hsl::HSL::from_rgb(&[255, 0, 0]).h;
// let green = hsl::HSL::from_rgb(&[0, 255, 0]).h;
// let blue = hsl::HSL::from_rgb(&[0, 0, 255]).h;
for y in 0..TORUS_SZ {
for x in 0..TORUS_SZ {
let (a, m) = tiles[y as usize][x as usize];
let a = (a as f64 / max_a).min(1.0).powf(0.1);
let m = (m as f64 / max_m).min(1.0).powf(0.1);
// access => luminosity, modify => hue (green -> red)
// let h = green * (1.0 - m) + red * m;
// let s = 1.0;
// let l = a.max(m) * 0.5;
// access => luminosity, modify => saturation (grey -> red)
let h = red;
let s = m;
let l = a * 0.5;
let (r, g, b) = hsl::HSL { h, s, l }.to_rgb();
let rgb = image::Rgb([r, g, b]);
let coord = |x, dx, px| ((x * 2 + TORUS_SZ + 1) * px / 2 + dx) % (TORUS_SZ * px);
for dy in 0..TILE_H {
let y = coord(y, dy, TILE_H);
for dx in 0..TILE_W {
let x = coord(x, dx, TILE_W);
heatmap.put_pixel(x, y, rgb);
}
}
}
}
// Save the heatmap image.
heatmap.save("heatmap.png").unwrap();
}
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