wbills

import sys
import steamapi #https://github.com/smiley/steamapi

user_url=sys.argv[1]
api_key = sys.argv[2]

steamapi.core.APIConnection(api_key=api_key, validate_key=True)
u = steamapi.user.SteamUser(userurl=user_url)
friends = u.friends
friends.append(u)

wbills

import pydoc
import warnings
import subprocess

#pip install pylyrics
from PyLyrics import *

#bs4 warns about the default parser used in pylyrics, mucks up the output
warnings.filterwarnings("ignore", category=UserWarning, module='bs4')

wbills

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>

    <key>Label</key>
    <string>locationchanger</string>

    <key>ProgramArguments</key>
    <array>

wbills

//wrote this for more efficient scanning of nearby pokemon, 
//gets centroids for 7 minimally overlapping circles in a hexagon
//shape around an origin point
//to get a bigger area, just recurse this and de-dupe returned centroids
//for each pass
//this was in java for android, but python code is nearly identical
public static List<LatLng> pointsToScan(LatLng origin) {
    double origin_lat = origin.latitude;
    double origin_lng = origin.longitude;

wbills

import sys
import math
from s2sphere import CellId, LatLng, LatLngRect, Cell

def getNeighbors():
  origin = CellId.from_lat_lng(LatLng.from_degrees(FLOAT_LAT, FLOAT_LONG)).parent(15)
 
  walk = [origin.id()]
  
  #get the 8 neighboring cells

wbills

Created from research done in r/pokemongodev and particularly this thread: https://www.reddit.com/r/pokemongodev/comments/4svl1o/guide_to_pokemon_go_server_responses/

Needs protobuf3: pip install 'protobuf>=3.0.0a3'

wbills

import ujson
import urllib
import base64
from Crypto.Cipher import AES
from Crypto.Protocol.KDF import PBKDF2

unpad = lambda s : s[:-ord(s[len(s)-1:])]

class RailsCookieDecryptor(object):
  def __init__(self, secret_key_base, salt="encrypted cookie", keylen=64, iterations=1000):