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ddd

a guest Feb 14th, 2020 104 Never
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  1. from urllib.request import urlopen, Request
  2. import base64
  3. nameOfLvl = input("Name of Test Level: ")
  4. comment = base64.b64encode(str.encode(input("Description of level: "))).decode()
  5. song = input("Name of Song(0 - default): ")
  6. coins = input("Amount of coins: ")
  7. stars = input("Amount of requested stars: ")
  8.  
  9.  
  10. url = "http://www.boomlings.com/database/uploadGJLevel21.php"
  11. p = "gameVersion=21&binaryVersion=35&gdw=0&accountID=9604852&gjp=YFJHVVNK&userName=AHHAHHA&levelID=0&levelName="+nameOfLvl+"&levelDesc="+comment+"&levelVersion=1&levelLength=0&audioTrack=0&auto=0&password=0&original=0&twoPlayer=0&songID="+song+"&objects=13&coins="+coins+"&requestedStars="+stars+"&unlisted=0&wt=3&wt2=0&ldm=0&extraString=0_151_0_0_0_0_0_0_0_0_46_0_90_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0&seed=ux8YG66lmk&seed2=BwIKUVJQUAoBUlZUUA4MAQBXAgxXCQsPBQEGVAMBBgVQU1JRAQpVAw==&levelString=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&levelInfo=H4sIAAAAAAAACyXLyQ0AMQgDwI4szoSI_vtaw36QB4zAqrUFcZvz3EV1K9yYFZGDNy2D8GKoXDy-ONQJh9kgfxwidvUBQBJJZmAAAAA=&secret=Wmfd2893gb7"
  12. p = p.encode()
  13. data = urlopen(url, p).read().decode()
  14. print("Succesfully! made by stunnni")
RAW Paste Data
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