danthedaniel

# Reddit mod log parser
# Author: teaearlgraycold
# 
# Scans through one month of mod log history and outputs a .csv, the first
# column being the date of the mod actions, and each subsequent column the
# count of mod actions for each moderator (only includes moderators currently
# registered to the subreddit).
#
# So each line ends up being a summary for that day's moderator activity.

danthedaniel

#!/bin/bash
# Author: teaearlgraycold
# Builds Spigot.jar and places it in the current directory.

CURRENTDIR=`pwd`
BUILDDIR=/tmp/spigot-buildtools

if ! [ -x "$(command -v git)" ]; then
    echo "Installing git"
    sudo apt-get update

danthedaniel

Keybase proof

I hereby claim:

• I am teaearlgraycold on github.
• I am teaearlgraycold (https://keybase.io/teaearlgraycold) on keybase.
• I have a public key ASDOZ0Puk-IW-N2cxcr3anGElG0CJmoyBowYR7IibTdPcQo

To claim this, I am signing this object:

danthedaniel

/* This script is meant to be ran in the development console of your browser,
 * and executed while on the GitHub issues page.
 * Edit it as needed to match your issues.
 */

var query_list = (elem, query) => {
    return Array.prototype.slice.call(elem.querySelectorAll(query));
};

var priority_labels = ['High', 'Medium', 'Low'];

danthedaniel

import requests
import re
import sys
import time
import json
import sqlite3
from websocket import create_connection, WebSocket


colors = [

danthedaniel

import requests
from PIL import Image

bitmap_width = 1000
bitmap_height = 1000
colours = [
    (0xff, 0xff, 0xff), # #FFFFFF
    (0xe4, 0xe4, 0xe4), # #E4E4E4
    (0x88, 0x88, 0x88), # #888888
    (0x22, 0x22, 0x22), # #222222

danthedaniel

Crystal Source Code:

def factorial(n)
    n < 2 ? 1 : n * factorial(n - 1)
end

if ARGV.size > 0
    n = ARGV.first.to_u64
 puts factorial(n)

danthedaniel

import numpy as np

classifier_config_dict_light = {

    # Classifiers
    'sklearn.naive_bayes.GaussianNB': {
    },

    'sklearn.naive_bayes.BernoulliNB': {
        'alpha': [1e-3, 1e-2, 1e-1, 1., 10., 100.],

danthedaniel

// Automatically render all elements of type pre.math as latex equations.
(function() {
    var math_elements = document.querySelectorAll('pre.math');

    math_elements.forEach(function(e) {
        e.innerHTML = katex.renderToString(e.innerText);
    });
})();

danthedaniel

import bs4 as bs
import sqlite3
import requests
import datetime


def db_setup(conn):
    c = conn.cursor()
    c.execute("""CREATE TABLE IF NOT EXISTS classes (
        subject_code TEXT,