ekzhang

0 8 * * * $HOME/scripts/restart.sh
15 8 * * * $HOME/scripts/fullrender.sh

ekzhang

#!/bin/bash

# Check for dependencies
if [ -z $(which git) ]; then
	>&2 echo "Could not find Git."
	exit 1
fi
if [ -z $(which wget) ]; then
	>&2 echo "Could not find wget."
	exit 1

ekzhang

#include <cstdio>
#include <unistd.h>
#include <fcntl.h>
#include <sys/stat.h>
#include <sys/wait.h>

using namespace std;

int main() {
	int fd = open("fd.txt", O_CREAT | O_WRONLY | O_TRUNC, 644);

ekzhang

#include <bits/stdc++.h>
using namespace std;

#define MAX_STUDENTS 10000

/* Minimum-Cost, Maximum-Flow solver using Successive Shortest Paths with Dijkstra and SPFA-SLF.
 * Requirements:
 *   - Duplicate or antiparallel edges with different costs are allowed.
 *   - No negative cycles.
 * Time Complexity: O(Ef lg V) average-case, O(VE + Ef lg V) worst-case with negative costs.

ekzhang

\ProvidesPackage{ekzhang}

\usepackage{amsmath,amsfonts,amssymb,amsthm}
\usepackage{asymptote}
\usepackage{cancel}
\usepackage{color}
\usepackage[dvipsnames]{xcolor}
\usepackage{enumerate}
\usepackage[margin=1in]{geometry}
\usepackage{graphicx}

ekzhang

" Begin vim-plug
set nocompatible
call plug#begin('~/.vim/plugged')
Plug 'VundleVim/Vundle.vim'                    " Vundle
Plug 'rstacruz/sparkup', {'rtp': 'vim/'}       " Emmet-like HTML expansion
Plug 'w0ng/vim-hybrid'                         " Hybrid theme
Plug 'sheerun/vim-polyglot'                    " Enhanced language support
Plug 'scrooloose/nerdtree'                     " Tree explorer
Plug 'vim-scripts/delimitMate.vim'             " Auto-close parens/quotes
Plug 'tpope/vim-sleuth'                        " Auto-detect indentation

ekzhang

ekzhang

Putting Big Things in Tiny Boxes: An Introduction to Compression (1h50m, ★★★)

You take a photo on your iPhone X's 12MP camera; that's 12 million pixels! This is roughly 36 MB of data -- but it only takes about 1 MB of space on your computer. How were you able to store the entire image in 1/36 of its actual size?

The magic: compression algorithms!

We will be discussing various techniques for the compression of data, starting from the basics (RLE) and ranging to lossless methods such as entropy encoding, LZW compression, and the Burrows-Wheeler Transform.

The last part of the class will be an exploration of compression methods for images, taking a look at some ad hoc approaches that we might try (8-bit graphics!). We'll then conclude with an in-depth examination of how modern lossy algorithms, like JPEG, are able to achieve ~20x compression ratios with no perceptible change in quality.

ekzhang

// Interop for sha512.ll
// Reference: http://www.iwar.org.uk/comsec/resources/cipher/sha256-384-512.pdf
// Author: Eric Zhang

#include <inttypes.h>
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

ekzhang

{
    "cmd": ["g++", "${file}", "-o", "${file_path}/${file_base_name}", "-std=c++14", "-O2", "-Wall"],
    "file_regex": "^(..[^:]*):([0-9]+):?([0-9]+)?:? (.*)$",
    "working_dir": "${file_path}",
    "selector": "source.c, source.c++, source.cpp",

    "variants":
    [
        {
            "name": "Run",