CaptainZidgel

//https://pythonprogramming.net/go/sync-goroutines-go-language-programming-tutorial/?completed=/go/goroutines-go-language-programming-tutorial/
//https://godoc.org/github.com/go-redis/redis#example-PubSub
package main
import (
  "github.com/go-redis/redis/v7"              //this is so hard to install :D
	"fmt"
	"sync"
	"time"
)

CaptainZidgel

//This code is from
//https://github.com/norman/hello-lua/blob/master/hello.c
//Thanks Norman!
//Unfortunately you forgot to actually document it so I'm adding comments as I learn. This is written for Lua 5.1.*, the API will change with versions, of course.

#include "lua.h"
#include "lauxlib.h"

#define MESSAGE "hello world!"

CaptainZidgel

--What you want is the function bb and the table dictionary, everything else is me building up to it.
local dictionary_one = {
	cite = [[<a href="%1">%2</a>]],
	i = [[<i>%2</i>]]
}				--fitting only for one liner function.

local dictionary = {
	cite = {open = [[<a href="%1">]], close = "</a>"},
	i = {open = "<i>", close = "</i>"},
	b = {open = "<b>", close = "</b>"}

CaptainZidgel

local ffi = require("ffi")
local lfs = require("lfs")

local time_format = function(str)
	local t = {}
	string.gsub(str, '(%d%d%d%d)%-(%d%d)%-(%d%d)', function(y, m, d)
		t.year = y
		t.month = m
		t.day = d
  end)

CaptainZidgel

#!/bin/bash
# A script to swap distributions for imported scripts <production / development>
# Written by Zidgel for the public domain on 5/11/2020
# Usage: ./sw.sh [file] [library] [mode]
# Modes: d - Development | p - Production
# If you want to know what a line does, let me know.

lua -e "
	print([[sw.sh: Executing swap]])
	local dict = {

CaptainZidgel

import json
import sys
import ipaddress

def unfurl_relays(src="NetworkDatagramConfig.json", psep=":"):
	l = []
	with open(src, "r") as f: 
		servers = json.loads(f.read())
		for pop in servers['pops']:
			key, pop = pop, servers['pops'][pop]

CaptainZidgel

import json
import os
from collections import Counter
import sys
non_bmp_map = dict.fromkeys(range(0x10000, sys.maxunicode + 1), 0xfffd)

IDs = {}

for file in os.listdir(".logs"):
    with open(os.path.join('.logs', file), "r") as f:

CaptainZidgel

from datetime import datetime

seasons_ESEA = {
    3: (datetime(2009, 5, 4), datetime(2009, 8, 2)),
    4: (datetime(2009, 8, 9), datetime(2009, 11, 15)),
    5: (datetime(2009, 11, 30), datetime(2010, 3, 6)),
    6: (datetime(2010, 4, 12), datetime(2010, 7, 13)),
    7: (datetime(2010, 7, 23), datetime(2010, 11, 30)),
    8: (datetime(2011, 1, 6), datetime(2011, 4, 14)),
    9: (datetime(2011, 6, 13), datetime(2011, 9, 25)),

CaptainZidgel

#Original script by Zesty McLime https://github.com/zestymclime/RGLStats/blob/master/grablogs.py
#Modifed by CaptainZidgel for readability, functionality, and removal of pandas/numpy as dependency in the scraping section
from bs4 import BeautifulSoup
import cfscrape
import re

season3_divs = {'invite':'404','div1':'405','div2':'430','main':'406','intermediate':'407','amateur':'410','newcomer':'411'}
season2_divs = {'invite': '360', 'advanced': '361', 'main': '362', 'intermediate': '363', 'amateur': '359', 'newcomer': '364'}

def scrape_teams(divisions, div_ids = season3_divs, season_id = '70', league_id = '40'):

CaptainZidgel

//An expanding mean function created as my own implementation of pandas' .expanding(window).mean()
//Only thing missing is the window size option.

fun expandingMean (data: List<Float>): MutableList<Float> {
    var result = mutableListOf<Float>()
    var i = 0
    for (value in data.listIterator()) {
        result.add(data.slice(0..i).average().toFloat())
        i += 1
    }