CaptainZidgel

# Example of faking a server for mgeme testing
# (Mgeme is a project of mine, but this code example may be useful to somebody else anyway)
import asyncio
import websockets
import sys
import json

host = sys.argv[1]
port = sys.argv[2]
secret = sys.argv[3]

CaptainZidgel

#Get roster reports from NHL's official API
#https://gitlab.com/dword4/nhlapi/-/tree/master/
#https://www.kevinsidwar.com/iot/2017/7/1/the-undocumented-nhl-stats-api
import requests

class Person: #I don't have any reason for making this a class besides dot notation
    def __init__(self, n, name):
        self.n = n
        self.name = name

CaptainZidgel

#https://www.virtualdub.org/docs/vdscript.txt
#Open vdub>File>Job Control>File>Load job list badda bing badda boom
import os
import re

frame_group_pattern = re.compile('([a-z]\d)_(\d+)\.tga')

jf_out = input("This file should be saved to...>")
in_dir = input("Frames In Dir >")
out_dir = input("AVI Out Dir >")

CaptainZidgel

"""
A simple Discord bot to display a user queue with add up / unadd buttons via reactions - a basic task most bots will need.
This bot uses a single Cog for the purposes of using member attributes to keep track of data in a typical OOP w/ async fashion.
"""
import discord
from discord.ext import commands

TOKEN = open("token.txt", "r").read()

prefix = "!"

CaptainZidgel

import requests
import cmd
import os
import magic
import json
import sys

URL = "http://127.0.0.1:8080/"

def mimetype(path):

CaptainZidgel

#There have been 538 electors since 1964
#I am operating on the critical - but possibly wrong - assumption that the number of electors per state is static

electors = {
    "California": 55,
    "Nevada": 6,
    "Oregon": 7,
    "Washington": 12,
    "Idaho": 4,
    "Utah": 6,

CaptainZidgel

//This class is nonexhaustive, as I didn't want to spend an hour creating a bunch of useless subclasses.
class Log(
        val version: Int,
        val success: Boolean,
        val info: Info,
        val players: HashMap<String, pInfo>
        ) {
    data class pInfo(
        val team: String,
        val class_stats: List<class_stats>,

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
    }

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

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: