loonaticx

Keybase proof

I hereby claim:

• I am toontownloony on github.
• I am loonatic (https://keybase.io/loonatic) on keybase.
• I have a public key whose fingerprint is F100 9AAD 9C71 A5F7 5F35 367A 19C0 C5CE 1511 1F89

To claim this, I am signing this object:

loonaticx

// ==UserScript==
// @name         Underground Schoology
// @namespace    https://orbiit.github.io/
// @version      pre-1.1.15
// @description  A second social media on top of Schoology
// @author       Anti-SELF revolutionaries
// @match        https://*.schoology.com/*
// @grant        none
// ==/UserScript==

loonaticx

Stylish Link: https://userstyles.org/styles/174190/loonology

loonaticx

# output hostnames, ips, and mac addresses 
# to a file using nmap (negating truncation) 

import os
import sys

class nmaput():
    def __init__(self):
        self.NmapOp(str(sys.argv[1]))

loonaticx

Keybase proof

I hereby claim:

• I am loonaticx on github.
• I am loonatic (https://keybase.io/loonatic) on keybase.
• I have a public key whose fingerprint is F100 9AAD 9C71 A5F7 5F35 367A 19C0 C5CE 1511 1F89

To claim this, I am signing this object:

loonaticx

// ==UserScript==
// @name         Schoology quick-download files helper
// @namespace    http://nicholastay.github.io/
// @version      0.3.0
// @author       Nicholas Tay <nexerq@gmail.com>
// @license      MIT
// @icon         https://i.imgur.com/QmmYqzZ.png
// @match        *://app.schoology.com/*
// @match        *://*.schoology.com/*
// @match        *://schoology.cgs.vic.edu.au/*

loonaticx

This is the technical documentation for the .bam format. This is generally not useful except for developers who insist on writing their own tools to manipulate .bam files without using the Panda APIs.

== Bam versions ==

The .bam format has a major.minor version scheme. The format is designed to be backward compatible, so that .bam files created with older versions of Panda3D will generally work with newer versions of Panda3D, although occasionally compatibility has been broken due to major changes in the Panda3D structures.

loonaticx

# import your zones however you like.
import LawbotOfficeEntrance_Action00
import LawbotOfficeOilRoom_Battle00
import LawbotOfficeOilRoom_Battle01
import LawbotOfficeBoilerRoom_Security00
import LawbotOfficeBoilerRoom_Battle00
import LawbotOfficeGearRoom_Action00
import LawbotOfficeLobby_Action00
import LawbotOfficeGearRoom_Security00
import LawbotOfficeLobby_Trap00

loonaticx

This guide is intended to address frustrations one may bump into while trying to figure out how to build Spotify's models. It is also written in a way for which individuals with lesser technical experience can navigate through and build the models themselves. I've also included a few scripts to help expedite some processes.

Firstly, I must say that a good portion of the instructions and this workspace itself was curated by Brian Lach. You can find his Github here.

Additionally, I must add that these are instructions for Windows only.

Required files

• You need to have this modified version of Spotify cloned anywhere on your computer. This is the workspace we will be using.

• You need to be able to use the program make to build the models. You can check whether or not you have make already installed by typing it in the command prompt. If you do not have make installed, I would install [Chocola

loonaticx

import bpy
import os, subprocess, sys, re
 
class extractUV():
    def __init__(self):
        self.view_layer = bpy.context.view_layer
        self.mFilePath = None
        #scene = bpy.data.scenes.new("Scene")
        bpy.ops.object.select_all()
        bpy.ops.object.delete() # Delete the default stuff