| // watch the video if you would like an explanation of this code | |
| // https://youtu.be/FoNJ5zhL6bQ | |
| use std::collections::{HashSet, VecDeque}; | |
| use std::hash::Hash; | |
| trait Graph { | |
| type Node: Hash + Eq + Clone + std::fmt::Debug; | |
| fn neighbours(&self, node: &Self::Node) -> Vec<Self::Node>; |
| [package] | |
| name = "circle-packing" | |
| version = "0.1.0" | |
| authors = ["Tim McNamara <paperless@timmcnamara.co.nz>"] | |
| edition = "2018" | |
| [dependencies] | |
| nannou = "0.14" |
| fn main() { | |
| let x_coordinates: [f32; 4] = [0., 1., 2., 3.]; | |
| let y_coordinates: [f32; 4] = [0., 1., 4., 9.]; | |
| for (x, y) in x_coordinates.iter().zip(y_coordinates.iter()) { | |
| // Comparisons require that you dereference the values. | |
| // iter() for arrays returns a reference to each element. | |
| if *x <= 0.0 || *y <= 1.0 { | |
| continue; |
This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.
The script is here:
#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"
| """============================== | |
| Branded IPython Notebook Launcher | |
| ================================= | |
| Executing this module will create an overlay over ipython notebooks own static | |
| files and templates and overrides static files and templates and copies over all | |
| example notebooks into a temporary folder and launches the ipython notebook server. | |
| You can use this to offer an interactive tutorial for your library/framework/... |