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WRAIO REWORKED.lua
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--[[
1. dofile('changelog.lua')
2. dofile('activeModule.lua'):
* commonLib.lua
* menuLoad.lua
* callbacks.lua
* prediction.lua
* Lucian.lua]]
require "GGPrediction"
if _G.WR_COMMON_LOADED then
print("WR is already loaded, please unload other WR AIO script and try again !")
return
end
_G.WR_COMMON_LOADED = true
local LoadCallbacks = {}
local currentData = {
Champions = {
Ashe = {
Version = 1.04,
Changelog = "Improved Ashe AA Reset",
},
Blitzcrank = {
Version = 1.03,
Changelog = "Fixed bug on R KS",
},
Corki = {
Version = 1.05,
Changelog = "OnDash Typo Fix",
},
Darius = {
Version = 1.04,
Changelog = "Improved Dmg Calculation",
},
Draven = {
Version = 1.03,
Changelog = "Draven Initial Release",
},
Ezreal = {
Version = 1.03,
Changelog = "Ezreal LastHit Fix",
},
Jax = {
Version = 1.02,
Changelog = "Improved Jax AA Reset",
},
Jhin = {
Version = 1.02,
Changelog = "Jhin Initial Release",
},
Kalista = {
Version = 1.02,
Changelog = "Kalista Initial Release",
},
Lucian = {
Version = 1.05,
Changelog = "Improved Dmg Calculation",
},
Olaf = {
Version = 1.01,
Changelog = "Improved Dmg Calculation",
},
Riven = {
Version = 1.05,
Changelog = "Riven Dmg Calc Update",
},
Sion = {
Version = 1.03,
Changelog = "Sion Initial Release",
},
Syndra = {
Version = 1.02,
Changelog = "Improved Dmg Calculation",
},
Talon = {
Version = 1.01,
Changelog = "Talon Initial Release",
},
Teemo = {
Version = 1.02,
Changelog = "Teemo Initial Release",
},
Thresh = {
Version = 1.00,
Changelog = "Thresh Initial Release",
},
TwistedFate = {
Version = 1.02,
Changelog = "TF Initial Release",
},
Twitch = {
Version = 1.04,
Changelog = "Improved Dmg Calculation",
},
Varus = {
Version = 1.01,
Changelog = "Varus Initial Release",
},
Vayne = {
Version = 1.04,
Changelog = "Improved Vayne AA Reset",
},
Vladimir = {
Version = 1.06,
Changelog = "Vladimir Initial Release",
},
Xayah = {
Version = 1.00,
Changelog = "Xayah Initial Release",
},
},
Loader = {
Version = 1.05,
},
Dependencies = {
commonLib = {
Version = 1.15,
},
prediction = {
Version = 1.01,
},
changelog = {
Version = 1.01,
},
callbacks = {
Version = 1.01,
},
menuLoad = {
Version = 1.04,
},
},
Utilities = {
baseult = {
Version = 0,
},
evade = {
Version = 0,
},
tracker = {
Version = 0,
},
orbwalker = {
Version = 0,
},
},
Core = {
Version = 1.01,
Changelog =
"Welcome to Project WinRate v2 - The Most Advanced Script Ever!\n\n" ..
"I try to ensure you're always up to date without any impact on your game, to have the maximum impact on your game!\n" ..
"Credits to RMAN! \n" ..
"Enjoy your Game! "
,
},
}
if currentData.Champions[myHero.charName] == nil then
print("[WR AIO]: " .. myHero.charName .. ' is not supported !')
return
end
local LogoSpirites, HeroSpirites
do
local function Base64Decode(data)
if data == nil then return end
local b = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
data = string.gsub(data, '[^'..b..'=]', '')
return (data:gsub('.', function(x)
if (x == '=') then return '' end
local r, f = '', (b:find(x) - 1)
for i = 6, 1, -1 do r = r..(f % 2 ^ i - f % 2 ^ (i - 1) > 0 and '1' or '0') end
return r;
end):gsub('%d%d%d?%d?%d?%d?%d?%d?', function(x)
if (#x ~= 8) then return '' end
local c = 0
for i = 1, 8 do c = c + (x:sub(i, i) == '1' and 2 ^ (8 - i) or 0) end
return string.char(c)
end))
end
local function Save(path, str)
path = SPRITE_PATH .. path
if FileExist(path) then return end
local output = io.open(path, 'wb')
output:write(Base64Decode(str))
output:close()
end
local name = myHero.charName:lower()
LogoSpirites = {'/WR__LogoMain.png', '/WR__LogoBlack.png', '/WR__LogoStars.png'}
HeroSpirites = {'/WR_' .. name .. '0.png', '/WR_' .. name .. '1.png', '/WR_' .. name .. '2.png', '/WR_' .. name .. '3.png', '/WR_' .. name .. '.png'}
local Spirites = {
LogoBlack = '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LogoMain = 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',
ashe = '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',
ashe0 = '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',
ashe1 = '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',
ashe2 = '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',
ashe3 = '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',
blitzcrank = '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',
blitzcrank0 = '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',
blitzcrank1 = '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',
blitzcrank2 = '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',
blitzcrank3 = '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',
corki = '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',
corki0 = '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',
corki1 = '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',
corki2 = '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',
corki3 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAfiSURBVEhLJZV7VNR1GsbnVOBwGZjhPtyGYcYZZmDuwzA4Aw4OIshFQcMRCLFFUZF0BdtUwFwpLcNLGSV20aObVj+NTV0s19pjpoKatWqtmrlid9c6nTWz3e189tvuH+/5/vc+7/d5nvd5ZWp52PLMCLmkjZRLqRH3SqpwmaSPiZCCqQlSVYZaqslIkCrSk8WrlkJatbTKo5eW27TSckuW1D/RKO2otUj9kw3Sy3Vm6Z2lHmnk0ULp0Dyb9EaTRdpWYZZkKfKww7roSHTRESRH3Eei/B4cCTFMTk+gPC2R8lQVFalJTMtMoc2cwRNeIyscRpbmm1hVaKa7yMR8ewZPVedxrLuUsz3FHF3g4tAcK7sqzYgfhEtZURGo5XLiw+4lKyqcgqRYUUrciUoKxRtIjhVgcax06ljpyqXW7cbvLcSZ68Qy3oZJY2V8uh6fycBDJTZea3aws1LLjik6ZOny+6SMiHASwsNJHhdOTmwErvhorHHRWOIUuONjKEqMpWm8mlX5WibZHQQKJzJRAOQZrWg1ZgwGF02hBnYO9LPukWV0+YzsKstksFQApMrvlYQOAiCMjEg5hlg5RlG/ApmUEdhU0ZSkxLHEqsWTHs/U0iBl/hLshjzcNg+h+kbaFy1m41NP8squHXR1dNBRVcaGwHj6/dnIkuX3CAA5aaK5XhHB+JgossWrF5qYYxTkC5rmmTKpzVZjs1hY0DSTxXNmsm3TKo4ffZUPTg7z3MYnWbm8ixnT68gxO2kqL6OrzEufRwCohXPSo8YhnINdUPLrtO74WHJFc4dSSUVaEl1eHdlxMXS0NrHnpX727e7n1Du7eevQHp57up8jB3ay+6WnseRY8bgFdbkuuquKGCzJERpE3CfpY6ME39FUZSbSZdfQkJ2MX0zuiVPSW5xDd3kO1sxkZpV6eXxVB+t7O1nX08nSxe08s3k950b30z6/BaPOTNEEPxqtmen5DvbO8CDTC/87VAomqxN4xKPj9fledja5WSs4fLLczMneILMLsqh26Zhdkke5z8XWLb9nVVcHfT3LOHtyL4cOvIzH4yfXmEdgYgCHzYnXWcBgnRtZnkohTUpWsVC4ZMcsK5e2V/PBM9V8smkKo2sn8cQsJw51PBXWLHy6FIrFT7pbpnHp0hGufDzM5b8O81B7G4HiSdgtdirKp+Jw+fDbnRx4MB9ZfkKM1KhJ4Cl3JuceC3CkL8iKGjePN3rpmenifqcGuzqOPEFZQUo8LQ4dA53V/PngJr6+fhxp9wB+nx9rrg2H1cm81nkEA6VMy8/hlZATWSBZKXUZ0vjTdDO3/lBJX8hOX9tUltQVMM2txZmixC6q0qKlOjuD7ctq+PHz7Zw+tJxt/StpqK/HanGSZ7bi8/ppnjWbyYUFrK20sL3ChiyUniQNCGEvLs3ny6EZtBYbaBILNcWQiDslFnNcJAZhgMbiXJ5dOJUzQ93c+HAzJ15bQmvQgjUtmTzhtKBVgycribToGOpyMxicYaO70IisQwTYPp+Wsb5iLkr1zHYJQfVxeJRhIiqiyIuXY0pSUCw0WllbyMvdIQ5ubWNLWwmz7em41CpqC8RQJSbyNYloFArWC9f1Fun5raBT1mtMlobLsrn5YjWn9zYxTRNPsSqc3nmlXBjpZ06xEUdiJA0luSyqKqTVa2B1XT5rG4qZbs2gUOhXahuPLV1FpkJOd6WRdRUmmvRqFpo1yAZcGdJHKwL8MPIQB7Y1EIgOY/fTc4BhUR+zo3cubvGbthmT+F1rraDKStCQQn2RkZDPQK5aiTp6HOli8g3NeRxenM/0zCSqMxJpMaQie2tRoTS2r5lbn65hz8YQ/YtKReM3+ffP+/nll3P8cOMEzT4T0916WioKqM43MClXQ0F2IlmqCFJ+TQGxkOsesPHFC6W0W9MIJqqoEgCNegFwem9Iunqklavvd3L+VB/XP97KT9/uEk7ZzN0f3xRgX3Hjb2+zrNyKP0UuskmkqxDTp1UJ68qZoIljpqDt7y9UMDTXyhQR9WVCl6ningTTEpAd7w1K5zfV8OHr87l+fSdff/tHvh/bwj+/3clPd09x919jAuR7bt+6wKGXelg7N0CTPwur0KkgVcEUk5oHJ9u5MFjFuyt8rBAObBYU+pNU2BNiBUU1eunc6imc2dXCpfdXc+3Ew3w92sqtb4a4ffssd+6McfvuNX76z2UB9Imoo6xtmSB0icSbEkOjX7ilbgIbGvP5Yk8th5f5WePLpihZiVZoIzssbufIQicjD7s5P+Dn0/01XD8/wI0v3+fmP07x3fdDfPfVM9y+c5Cff9nHC6vrCcSEMSFBQaWIjgeERdc0FXBsaw1XX7mfPQ+6CemT/ndTMsUJkB2uMUjHa7T8pbOQ0b1zuXDiCa5ckbj62V7GxnbxxcUObn6ylM9Ge3h2QZBK5TiaLKk82uBl6LFyPnp1JjdfreLShiADNXmEhPi5sZFohPgmZRSyA2U66Viri7cH5/DeUCdnjq3no9MbuXR+PZdH2rk2MofrZ3s4uKacHZ0iq16czcUjbdw6+RvunF7A59uqONNs4XlfFq3aBGxi8zWCGp0iUpzdGGT7lxYPj/ZX8+5gAyeHFnP26CN8eGI1V95r5/Ib9VwZXsBnQ61ce76Gr95bxDejS0SkhLixaSKfClHPP2DlNa+WDl0yASGsQTQ2xvy/uUmp4L8iW4UgDduPPwAAAABJRU5ErkJggg==',
darius = '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',
darius0 = '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',
darius1 = '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',
darius2 = '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',
darius3 = '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',
draven = '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',
draven0 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAeESURBVEhLVZUJVI/5GsffP9c+GSVrWZoxZboVJtdku9xJ1tBMicgyoYTUJIaQiKghxV8poc1SvaloV0KUpZBddrrXNqNRlpD/5z5xz5xzf+d8z/s///Oe5/N7nu/zPK8yoJPBEpu2rdQhiqJ6DR2qpkVFqeXp6Wph6Do1wX6oGm3cXN2mp6gb9BXVp628I/KR3/PaKeoU+X9YS0W1FpmI9JorqiJx/k99v2iZN6aDAQc3h3H94WNu/+cZf53Xr6g5VsAVr2mUWLSnsKNCYmeF7YYKm0VrRfO/VJjQRmFIKwUz0ZctFDQaBQn+WYOEUrwjksp6qKx9R9njGpJy8zl17jxVFyp5c/M6PLhLQ34GL7ymcM+8JSUCSRXt6aSgFejy9gqT9RR+EECflgoGor8goXbD1Nrfn/NcLvxEtPvcNXoMtMNz8XLi4hM4l3aAP/My+ZidDGUn+ZgUS/1oc170VKjo2YTMLgrxouAOCjPaKoyS4FYC0m/+P0B64Ar1vQQuP36M45eusvPsVdaruQwf58AGbTSHEvbwKDeL9wVZkBAJGWmQpqKbPooPphpumSgUd1U4IJCNUrJZkomdQL4VSKtmAshJU9XKEyeZJzRfC0vKqm5TLUDvyF3Y/jSFmNh4ytNSqS3Mh2yBxERBXCIcOQ1rloF5Ex71UDhh/BkSLBAXgQxurdBNIEr0siVq2GQHFgp1WSdDsmL3cO01BGQVYzJmEgv9AylJSeZOUiINKZnoJDviUqRc18SbF6ANRWfZjGrJ5LhkkijyN1AYL8b3FYgSYG2qrrXozsbu+mitzAixMqcgJZ2YCzfxiE+j91RP3D19KNq6lfoDUp6DhXxQ8+BMI+Cp5ConQYvOvCn3BZJpJF0mxs8TP4Y0AsIH9FJLpjtw2nkU5x1HcszOhv3D+3PyzGmSLlzj+6Aouo5wYtF8H/K3afkjPRuKpDyP5PbvGuDDZwbhq9CZKZztoSFeOmyNvoKDZKGEmbRVr8+bwstVnnwMWMBrPzeqHP7FBcdR3D5VQlDmUbrbu9JjwAjmzJqPNnAjVUfLaKh5he6jBH4jhKd1cO8PdHMm8EwAOZJBiHSVRzsBaDs1UW9OH8P7IC9YJ9qxAcLWUT91LLedR5OfX8Q4nxV0tLCh39AJeHqvYuKPM9gRrqWmvAJu3//sx7FydAm7ePvD11QYaz4Noo94oaT0bK1etbOEED8JvBx2hkHSXoiO5pnbZEpX+1F25Ajz3BfQf+QkbOymMGTcLEaOcaR0ewzkFEt3nYQ9CRAfy8c13tzt3Yq4DhqWNgL2mbRWK8zbUPfrz2Jg0qeX2L0P9mXxMTWPJ5FaqDjPge1ROM5ehNfabdi5ePOV9TicxztRqI2k/uotUFPlctukw8J57PAPcsTsXxsBQbK4zpk259/DTWg4nCkGnoDMI3BInjmlIPXWnZG1IaUK2hyJi1cAXS3tMBaNHz+F9AMp0mULqNmXwLsdkn3sBl7LZY+btiSwvQZlrmzHlG5NuSNp1S5y+Qw4LEN15iqcvQF3pRVr3kL1c0KX+NOtlzV9BtvTVq8rVrZOBKgFWAz+J5FeC6gLWcH79b68FD/PjLDkN8MmKB4CCJFldfKr5vxp0YwPYUFw/QFUyTzfk+30XDpEB7WPnpG/Yzfezq4sdnYmaMRABtoMZ17gJtx/i8HSqh/Ja1dy2t2RSm9X7ix3J+IbfZSZstNXSs/GdtTwwKwZ9UO7QGkZvJIer30D8mj40MD1UxVELVnJ+mkzeBARwg2PsUS4OmFv78TcLQl0/NaSr83MKNgUTIGbEzVxW8l0c0Rxaq2oi2SnrxdDMrs04aksMJ1DX7glJWo89Q08fVjNucJTbPby5dDq9ZBXhC74Fy67jWWR/XiGTV6Ip/ukT9vT2dWNvBWLSZw8llIxXRnUSlEbN+BSGYodUqo82SUP/96aNxMH0HDlAsgwPT17hUsp2YR4LKAyaifvs/Oo272dS37uJC7yIDjYi4Rge4Z914PWBp2I3rKFFc4TeXLvLorsbXWYjPQMPQ1+Bho2dG5BqlELigb3Jn/6j9yQjw/PXnI0OILZ1t9zKy6et3k5VKVnUnoomdz94RSlL6UgbiqhviNQNH9j6uy5HDt/mYvnLzRmpagdJLUh8gWa2M0Q//AYlhh1YOIgG/yXL2etlSV7lwVQnJxB0ZYI6jMOUJe6l9KUw5RmH+TI4Xj2x6+l4KA3h/a6M9OpP72tv8PeZRqXzpd/Bpj3NiM0wJ858/1YnVbMCt9fiA70x9bGBmOBG2naEDByJOQfRFdWTIPcvCYumlv7E8mK2Ut0pDzVXaQmhRK9L5aho+1Izsjg4vFiFENDQzUiZjeHT5Uz2tWXMbOW4r9yNSEznemj/wXfmJoyrV8fci06UmlpwN2FLrxKl4mvOM2bklPczy3kXnEpT248pLq6hmu/v6FKmqLq0mUcrfug2I4em7tp+y6cps6id5/h9Br4E6a2U4mw7c+DQA9GWluRPKAXBWb6xBs3Y69RU9IsOnPyZweqYrRU52Tz/u4daWmZl7rXPLp4kYytYQwz6oxpOz3+CwIPhTcVrW8CAAAAAElFTkSuQmCC',
draven1 = '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',
draven2 = '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',
draven3 = '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',
ezreal = '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',
ezreal0 = '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',
ezreal1 = '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',
ezreal2 = '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',
ezreal3 = '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',
jax = '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',
jax0 = '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',
jax1 = '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',
jax2 = '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',
jax3 = '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',
jhin = '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',
jhin0 = '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',
jhin1 = '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',
jhin2 = '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',
jhin3 = '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',
kalista = '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',
kalista0 = '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',
kalista1 = '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',
kalista2 = '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',
kalista3 = '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',
lucian = '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',
lucian0 = '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',
lucian1 = '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',
lucian2 = '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',
lucian3 = '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',
olaf = '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',
olaf0 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAfCSURBVEhLRZZ5UFRXFsYfvdFN0w3d7G3T0LSANDQoyo4gsoRVBUFERlCxQRQFcYHgaFxAIi6JGhh3HbcYfSYal4lxnCTlmIlm1EqiVsakZMpxnIlOORkzKZeU+c3VpCZ/3KpX7757vnO+833nPikgJnmRV2icrPC1ykrnGFlyjpWlkHBZMobIWmucLAU6ZV3CaDk0t0J2jG+SQ0rrZK0zTfZNLpKNznTZFO6StRbxncEuvo2TDaEJYrlkg9Ulmx2JsqQNinlPCo7FNreTqL6dxG4/il/LIoa455Pat5WJB08y/8oXtN29R/d3jzny6DFNB44QUNOOo7qZhsPvYkovoXL3UfRx2UheQ5DMQ5F8I1AHOZEko0Me/dYpMh88Qp85nmFNi0ntXMmYb74l9fZd3vjxCQPAoh+esZcf+FE8//7Cnxi3oR+v0SUEzl+FvnkBKeJ9RM9mJKMVyVuAGMNQBUQLgBCXnHvkfcIXdiPpwohasoHCwXsYV75OSN8A+8XBgYffc/T+PW4+ecjbH/6Bc+cvcHXwa8IaWlFEpxDQ0IlhwkwMI/OIcreiCnPhYYkVAFECwBwle6eWEdW1gTD3ElIufEXArE4S9x2j/NtHNF66wpTFs6idWsHCLf2s232AOw/+w7On39O05xCKmHSk4AQ8jJFELXuN1v8+xjs+U1D0cwVeUSNlH4HsP3sFOX8epPbqTQ59eY2/i8xvPn1CeWsb4+0SS8rtTGlbwqTGV3j/4jVO/vFjWnccxJhajDI8Bb+5PYTvOkVY+zrUthGCoiE/AegcLllfOoPMncexrdzM9E8+44IIvuODj9h+4gxd67aR7LQxu8BE+uh0cgoryCmdRmXjQqILKgjKq0IojejenVhmdKB2ZKIIFQAm+889MFhl+9R51F6+RfW+dzj67Bn9Fz+lunUxi9dvoXDSTAL9/KkaHUykxRuFpEGjNmO0xiKpDMRUuxmSVY5xbAX2hb1EVLagsAoA/yhUgcMEgCZUTlq1hbF73ub43X/w1ZOn3H7wT3rls7QfPE1e93qsQrJDs9N4yeZBQO0sbPN6KJ65Fj/HKELTcyhpbMUiePcQQQ0lM9HE5yCJ7JUhCSIJYYwpl67jvv41+//9Hb/92784ef0mEZ0DhMzfRNzWDwg/dRvfrk2k2T2JnDsP2+7TxBXU4iipwlpSQUTiGOYsX4/kF4lHXC66olpBk1DR8174JuXL8/7yV2puDLJi8C6vXL3FwCefo+3aiaZoBlJYGuouGeu2cySMHUFoRiLmub8mMKuEjJXrsIyvETSYWPDqGwwtqEGZNw1dbQvK6FFoIlORktp75ZnbDhG+YQfln96g+/ot0o5dRjFwHn3HdtQZE1E4xuDf1k/wom68fbQElUzAK6ccTfY4JJvrhUyLX91J+rROkfkoJFGZR3wWmmjhbOeiPrl452FBwRoar9xg951vqDx9ibAF6/Bu7ydw8xkMnVvxbFiO98Z3MY+IxzIiFq8sEdxoQxlfgJRcTtXibobnliNpApAq65BG5aIeJvzgP2munPvmacwvr6Hvzn2Wnr/CvgcPyejsQ5NagamsBX/3CoxzVqNZtpuhjbMxm3WYq9zoRlehihqDpA6ht38bw/PHvxgTyilNSCmFqJyiAlN+hZx3+CNiuwdYenmQBR9eY9HgfVreOoOlsAFDfj268FGofW14mEIImt6KV2AAxrKJmHqPoMt1Y0sZx7Lf7MLTIpocFI1hToeoQBgwJgspunyGnLG8n4TevRSf/YL0ni3Uf3aHzZ/fIbNxOQrnWEFFBGJmoUodj6GyGXN+GT6BeoL3X0TfcwzH8l04+0+gGNeE10uT8GnuRBmbhToqDSnb3SGPmN6BfckOhu09i09pHXE92ygcOMbkjYcJLmpAk1CEsaQJdVolksWFf3kdAX4qfOrb0HcfRlMg1FYs9htX4f/6LnSVbtTOTJShwgfRYyrliNxalFOX4dxxnPj+A3jH5hC+dj8h3Xso3nSaYtFw69BkJG2IWIHoU/OxZSVjDA3Gq60XzcvHUGZUoyutwbx7P4rEItHgHFT+kULCtpGyNvtXeCaWMuy1/Qzf+Ca+dR14upfj13cI/yVbiG/vJbKygfDsMowxyWhjkwmoqMXgo8NSXYe+eBb6ltUEvfcxuqpm1EnFohdOVMJ4YlxHy8HulZjLZuKdVoG/oMKyag+a2oV4TpiFoW0twe3d2AWv9vq5WGvcWGoaCe7owyfMitlmwTxvKf4HT6BrXYUmZSIqh6hWqOmnYecVLpvyanG9cxX1qEqhmhnoZqzEOKmZoKmzGbF4PeqYTLSRKejHVmMoq0ebVIROnPFLS0clSeh6evHp6kMbVyCUI2RrsCH5/HwfqMTlHJBdhXdOPaXnv8R18NyLLCy1nXgK20fNXiO84BYqEpPRzyEOCkXpxLVotGMqnIynIw7D9HnoJ84WTU0UwcPE/LH/AqCzJ8p6Vy7KoRmEbjiAdfNRfEYWY23fgFdxM6Zc4YXSRjwShWOfy86RIsbDSFT2VIzPq2joQlcwRUxPkYB3qAgc/iL4C5eL6SqeXb9TiE2lOCSJrnuIi8LkyhYAq/EQTlTZhqNLKkGbXYMqczKqdMGxWGrRL53wiDokHoX4g3je0OcZ/3+J4Fqri/8B1clBSBVt1BQAAAAASUVORK5CYII=',
olaf1 = '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',
olaf2 = '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',
olaf3 = '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',
riven = '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',
riven0 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAcASURBVEhLlZVpVJXXFYbPZRYBERBEBFSQQSCiqLlaVAaZERFEkaglgqKICITBkTigqAQjAopKgjg1ks8R61SrUjWittFVhyQmjUlrorHL2hZrqlWe7svQlf7q6o93fffcc/Z599n73XsrFWxUpOKU5n24vzbnUZI2pTVCU1lKU3qlGYUpbchuN83IWdZK0ENgozSLgUaa/ywPLakqXEtpiNHGV+k122hLTTnJvgFyRlkIjAWpB+NOjdzuj3GpIvRGEBUsYfXDxXiXD8I8xJTBVS4MqnBGmSjECGWrMHHRYT/SivCVevJbMslqmUli0wTsYm1QrnKmn8BGYCbY/WqTtof3STkfjapWuB904cyPx6j/YTOpJxLw3ORK6M0R2E0WY50YWAnsBI5C5G1CxNKfsbhlLu9czSS3NZ0+KQ4oN9nv03W29Fm21spJbnGZVQ+KeftOKgVr5xOVHMC4qR6Mzgxk7XfFpFyI6fBemXYZOgj6K4z8jZhYGcaq2wVsfvwuOdfTsYg0R3nIvoFkYVuqVkkJXwvFM57Q1LKbQH8vtr63iEWzY5i/cLrsXOHg60Z5Ra/OUBmeLiQ6Zx3KS+EgoZmxP4Hyb4rY9ryMSYfCUMM7HVCtL89ppznAXjbzJ+5x4JcNRIzzY+fOMppPNFCQH8fFu6f46uXnTN0Z35kHpTDuaYxdgC22eitUkMIndwB5V9PZ9Jcl1LxYhefyAShPOXvs9X7tD9wRL1s5dL+RlbUljBnjTnyiD6lp44mO0jM1OY4DJ/dT/3Vdp5HkQmemw+GN3vjMdKdnggW2M62Ycjya8h/yxd1q8m5lokLl7FtainaobR95pVk49rbBTLzzH+pAYKC9rE2ZPiOVqtpt1O7ayfbb9bjGunUmW0JlamuCV5o7PgUD6T3bivjDoZQ9zOVQ+w72tlfjUGiHMipRWr/FDvQ2tcBYLrezMsPF3oaooT5U5aVTVJjLseZTfNR8gi2X6tDP13eEqCMPknCnYHuC1wfRL9tOpBrKuieF7PtXNZc4SPzRcFTCb8I05xgHTMSoh4kxNqamuNk7MNytH/mpMSRFjCUhLIIjZw9zof00Xgs8kQLqzIXAwtOcyNpR+Ja7o68fxoa25TS+rhRZHGPl/TzUtvZybViGX4dXOqUjLjGSwxebSEoOJ9DVkZJZMQz1GMyEqHDe/WIJVpmWSEWjLAXy1TnpCK0OIrhpGEO2elPx91I+lHK9LASNbZtQB/+6X6u5W0FPS3MJkY4VWjETzo5jy5V1TB0zjGUpIZSvKWJESDhpjbNwz5IcGOqgZyeJkRTVuIZRxF4by6Adrmx8vIz91HKdM7RwBDX2s5FaDrPxGO7a8Yp3qhbhvccTvxofMgonEmdvTd3G5WzaXsvPl+SRsFak2uW9ofB0IxVhR0cz7UEUfkc82PBgNec5Kqr8RET/O2kbH9lp9nOssbG17iCYlB7Px8/ryWyZweITOWSPf5NRA9zYvL2GWZlFLN61hiHRb3QqyV4QoYg+G0zOj9MZfn4IlQ82iPe/5jZX+Z6vREXKSDNWJlgYmXYQjE18k9ALeqYdT+bmq2scatnDCK8h5M3PYVXt+1Ts2s3yuvX0cDLrbGjTFG/fnCRRLyLpbhTVjyq4yUXuCsFTvpNK9xqgOdvb42TdiwF6V5LPxWH/oTS2dEXxpXwe8y3ZRXMIGBxASEgExe8VU3Wtkt7uonFrIVioWPYoG40dVD5dQdOzXVK21wVX+BsPpdmdLdEKLswj49oU0u4lMvKMPL9M5JdvRo88c3LPz+P0tycZHa4XKRvTz9aF+LkJBMWOwdLNBscSR2qer+F8+2GO/rORy69+xefckBB9wj/4s0TFX2nmaSaYFOrQzROP0kQZGYo+a60Z+AsnrBosCTjuy8LLc9h75QNyaxbR06E/XgF6glJi8YsMZn7dXLm4WUg07rbfksb5BZ/JC17RJgSGqWNQhaEV9xUMEgwVjJHCSzTHc50rQc3evHUvnn0vtvEpZ5k4MxZXBx8GxQZi7e/Ekh0F4nUr1yS5f5SQ3pfrv5TVa3mDkixrAkO2/9NjOpLn3PU1F6KhFgQu9WXKuRiaXzRSd3Ejfv5BDI8Lp6+vL/56X9ZrZfz25SWJ+xO+EZF+KXl4JQNAhPMTgm6S7t+GlmD4iro6IJOsb0Ifpu9LRr8ohPorH7Oz6TiJ0zIY6BPI+IQ4PjjZwI1nFyS9d4DnXQQGY8PF3Rd1r7vx0/8NkHHZN86FyK2RZJ3LZm5dEUuPriNjXSFJ0xaQOncBa7dW8fsHnxrOdxH8vzC8rJdAho1jkhOpjTMp+341K45vIHtDKZNz5jE5K8twVp38L8P/he4QGmazoV0Y5q5hCPmKtJNN8d3oyfTLk9n4tJS6h1v4N1I/aYwXvYaUAAAAAElFTkSuQmCC',
riven1 = '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',
riven2 = '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',
riven3 = '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',
sion = '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',
sion0 = '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',
sion1 = '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',
sion2 = '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',
sion3 = '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',
syndra = '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',
syndra0 = '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',
syndra1 = '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',
syndra2 = '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',
syndra3 = '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',
talon = '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',
talon0 = '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',
talon1 = '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',
talon2 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAeZSURBVEhLHZb7c5TlFcc3yWb33Uuy794vSTabZHPdsLnuJptskiWQCyEkKyHXTcgFJCAgohCoAipGEAHFoqAwKOLQEfqi1hsytl6KRWurndbpOO3Y2tYf2k77Q/+DT0/44czzzp5nv9/nfJ/vOe+rs+TG95v1rVqePqbl58Q0NadVU/Vtmmrokkhp+UqPpiq9Ev2aXRmUNSW/r+xJag7Jewzdmmtln/zPnNMkOHGJlVUiJ67pLPrYBzZDJzZjEruyBrupX2IQu3UUR94kTtsk9vwM9rxp3JYpvOY0HvMATtM6nJYBPPnD+PI34jH2oOa0oRrbBCuBzdCCmtuGTtUnNLshhSokqqkX1ZLGaZ/F7dmPN3AMv/8ErtAJ3NU/pjB8Gr/3IF7LmEQar1WAbSMUFO6lvOMsoegSqtIuWPG7YTckhEAksFuGBXgA1boBNX8Ku3ofDscSDvthXEWnsEXOkt96GXv3mwTX/4KCqos48+ZwmEbwuLdS3HIGf8dzWAu34nCPYTcKiZKQfNcKQa+2IoeaJ4mCgziiL+OMvYZ7/Xt4Nr6LZ+gGlv53sY7fxNR3FXfn61Qu/I6SlqsEmo/jjhzG6tiKNbwX16qDONU0LmMXLqVTZEyhs5s3aS7bLE7vblzh87jr3sAfu4Fv9W/xzv2A69h/8Zz+DsvCR5hn30RX/gRKx4s0PPMtlaMvkGPsQ609TknrWSoc2yk09t4F9yqrcZu6hSAvo7mKjuAMn8Ve9gKu1W/hT/+cwPzvCR7+C97l/2Cd/wrHvs/I7T1PsOs61YlXcUX2yfNRvOteJNzxOv7cMXymISrNmyhRBu8SBEx9IlHwoGaPXcJRcwlX19u4N36Jo/9r7OlvcW77noKT/8S//A3G1E/IrjpEm8h27ua/iDYtkeWYo3T+PYo9j1ClTBMwbyAol99knKZUSO4SmIeua9bNt1F73seZeBt79TtYu/9A/sz3qPf9gHXhO8zrb6GrPoNO2Uw4cYrp+esMNS/hqj1E5ZZbcn8ZSuX0DZIvMN9DrXGMRsMkhab16AwP3tGsU5+ihs+hVkolEx9TsPBLgmOfEBq7Q2j7b2h59a/ET33BwNxVIsmzOMUMqkjhaztJZPEWAaP0hnENZbI2K7NCtom4cYoa0yg6085faY7aa9hDp3EOXiPQeIES30nKfEcJB5+jrPEtmg99w4abf+fxF//I9GNfYi0+SI4yStk9F1jz2r/xlR8RkpXekNObpmlUZqiRfMI0g8418bEWKP0p7qpzBMtPUGbfTUn+HGF1kSrPAap8T9I4c4vpT/7H8P5PMRUfIFcsrVgmUdwbKR8/Q9OhX9N474dUFD1KiX6QmNxBvTFDTMh0at01zVWjEag4TlCAi5QeiozdhGRchC3jVJq2UJu4RGrpE5I7rtG68zoWc4Y8r5xOF5dowlr0ENX3fkDjztvUlD9OlWGMduMMUWVKbFr9iuZue52Qa1HAN1AgMyaorKNcnmuMQ1Rlp4n2XBYrvkRB6mky7/1AWXyZQPQw2fp+srJlHNwlGpNufpmK7svUenfRlpuh2SCH8Ky7pgUbzlNkmqLQPEJQXFAiI6BaNKwXXSOGWeo3/Yy1D9zGu/oKyWN3qN34jABKl+rS5Mr+hq3LWH0D6PRpbLFlYn03SOgmSRgyUsH+L7RQxVGKjdIgAhwWB1QpE9RKtBimiJu20zL1PpGM+L3tZSIdl+h89BZlqYeFYBiPZw+puecxB0bwdx0kuvcOrbGLdGZPkpTe0DmOfK2VlByi1JCmQhlhlQDHRbukYZq1+s2sNe+kevANitZfJ158nEZxWLTjCl1HPqd2/Aqlq55i/fgFQsMnaFm+TbD0JVqV++lXFugzbRWJ5j/UQpETVOg3EDGO0Jw7TjJ3im59hrRujiHbA6jVR/GHHiOTfT+bsnaQUvZR7TtL1cRnJJ/6ioL2k7jKHyC67QbeyCvUm/aSNi4yZNohBKnLWlHT86L1MA2GUbmcFfAphrPm6cmfoT3xI0rq92DObmcmaxezWfczkbOdQcMu6mxHiY19QN2ud1DsWwjPXKDn6j9YVfQIAzmLDBt3ofN2CEHjeVZZJ0XzMVL6aTZkz9PhnqCmYZK2oSfpTD+N05MkkpNkj+5B7s3eI9XsvEsSty5RN7rynngWo7xLht79G6ljn9Nu2cOEfg86f/dVrbjxIg32RdaKtfqNC0QDQ5TXj9Lc/TCJ3scJhdbhdyXwBdpZ45pib/YSi1kHmM1+kF7TfuKe83Q99DE10xdl3Oyk/8qf6B24xGbdbnQlJYe1cM2zNNt20JO7QFVgHaW1w9REpyXmCJXfg0eNEQr2EInKnKlMk0wuESubl8scZEi5jwHDw3R4lll9+s9UZC7jqNhN8+A55nLFaTV5s1pt4AAxGRFrDAtUeHsoLFxNsbuNIrWZotAghf4UPlsTpcE+6uLbqIhO4ZaKbM4Gyu1rGBW5RrIfocf1JM0zMvJ7z+FoeIpx9WmZwkrmZjxPOs+6m17jNlZZ+vALmF9tJGAXAtE+XNxPffMWyqtH8XnkC8RUj9fWhicvLl8djVTldzOWu08M8JBUc4DuOo1k50cMuS7wf1Ix4ILf96M9AAAAAElFTkSuQmCC',
talon3 = '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',
teemo = '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',
teemo0 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAdMSURBVEhLXZVLbFT3FcbvPH1nxvOeuTN3PI97Z8bzftnjx/g99hgb7BhjChQDiXkkaSCQEAgJSdsE2kJRQlBSVJXAgkRKWaS3CVKVtFKkRmmpKFJRhBSli6ZSF0kXSGl2lbrpr/8huy6O/ndzv++c73znHEmyyafMbtkwK3ZDVmXD6pcNySki4Dasmt/wNSJGbKtuyHXdkBLa/0Xm20iKyOQNKVs0pFzJsDfrhntT3XB2KoYkybbfSS4HFsWBU3PjSHmwKm7MioeeTBBPUyV7IEdsRwlTfxYpKyKdQdL7kTTx3X0zRaR8GUu5grVWxzkzTPC7oyj7RhEEZpGxFbPXhSPmwlf1EZyIIqcD2LUgvUMxtN05ik8N4B6rYClkMecymLugepcggylbxFQsCfAKzpEagZUxEk/OkDjWFgROq2Hq7cHU68AadNOb95Hd0KgcyRMYVPFNp1E3JUhuThE/2MTayNNTL+BoiIwrJaRCAalSxNas4ZwcxLc8jPLIDNkXtlB+ZRXJ7PcYFr9HVNCL5PdiSwaIryWZPl2gdbhIZlceb8qLP+On8MMJ5Oki8mgJ92wTV2eMnulh7FNVnJ0mvrUWoY0pUs8sMnVtHzv+8KwgiIUMczSESQnQfa3pOPJwmomlBDv2Z6h1YrisFnxJDwOX5vFtbWCfKNO70GT81SbZE5NEdo8TXh9DfWya9PMLTF/fxaF7R9l8aQXJkQkYrmIEu65gywrwko5/TCe/PUumHqKV9+N3WPD3e5l6a5Hgw+O4t4h+LAwyc6XF4q/mqV5aRv9+h9qFedZ+s8bBv+xl8FFRlVNCsqs+wzemEl3RiSxniK1k0ZZ1grkAFpsVTXGhB+zkZkIc/nyF5DNtAuuTBLcNkXyqzdYPVjhwd5UtH6yx+9ZOjv9tD/WHs/T0SLi9VtFk0QN7OkJyo0T7zUFSm6O4TFY8kiRekYF4fXYTybST/R8NsXF3kfiJDqG9k+jHJtn6/jYu3G9z9qud/PSbx2k/W8FulfAGLIRiDvG/z2NI0SC2ikb60BCtS5NUjzdIPZRG3xynvieFOyJTCthYyrsYf1Hj4J0ZBi52yDw3y8J7q5z/6jt8yAHe/GKdkG4TmVsI9zlJZF2CwOM2JMUvhkalp1EktDJE4fQUrV/M07kxz/f+vsL2t5vIopLzDQ97RCWV1SCHb4+w86M5lm5u5uI/9/InDvKSMU6PLBGJyyRFz/S8p0sg1oJHfAgXSXoMW7Wf3vE6/sUhohvj5H/c5pE7HXLrKn1Csn+crPBiQyGWMXPikxLn7s9x5ZvdfMJDbD8VxSbk0cWwFidiDCyIKZecbsMthssW9z0gMekqtoKOYzBP70yF4M5hKmfGOfTxCM4+C6N9Lt44oHFyXWFkpJfXvy7z7n+nuPHvpgDtIRSyU53uozzRR6OdFAQWn1Hb8BMZEzJ5BIkawpxSsedSgiSLd7JIeO8IW389xvr1FBaTmZeOxvnlDzQGYjZe+nOKdxng3Kca/ogZtau97iaedFAUkkpSyGdI4e6QhTGJkGIK5mRELLokclnHOZQhtNSg/9QwRz4dZMuhMHXFQicl47FLvPxxUTS4xcFrMWFNG0G1h4DXRrLkodBSBIHiFy4SwGoEUzyKKRHD3G34g6ETVTR1wnMF4vtqjFxucubeAMeuplk7rrJyMsn8Ewo//7xGecqDy23HF5VpPqbx+PujLJ3KCQI1ZEhxlW6YkjEsWh9WAd5TFBXUNXpHxQDO5cjuL1I7X+e5eyOcu11jqOFk9UiMp9+pUByV8QWtInuZgJBm27VBrv5nGy/c7W7TWNyQUkLbpADWE9gzCeRCDLmq4R7R8U1o9K9nefKPKgd+r3PmsyH2vypkE3ZMeSVmFzwkdReqJrQvewj6rWRHAnTOVtnySkUQiMtkEQfEkklj79cFuIiaTq8A909qKPMaqbU0taMZJi7WufDFMNuPRlHcFuJhib6QiWBYRu3ORydCXHhfUe0oUTupklts00TSsGYyWPM5HLU8nlaJ0HyV6GqV5O4q2r4S2YNF8k+UmXmtyc++HGF5I4jqsaEK8L4+G4GInahoen1ThNYunYZYN4XxII15vVtBTFSQwiYI5IEy/vkGiT3DFJ+fon15lq1vtTnwYZmTd9Kcvlvj7X+NigoiaCEbfYoVVbUSEvaMxO3kx3zUF8PkG70UGj5GuyfTIghsuiAQ8jiqObzjJbFZBykdmWD2Ypt9783w2pdFrt7P88Zf57j59SI/ulGnmLaiJwRBxCQksTxYD3rRjZ61ky54aG4foH1i+duDY02owj3Cx/1JHMKaTjFg4ZnuNavTfHqY1Yst9l+f5MTNZV6/vcg7n3WYXnSTUE1EFYlwxIYSE/tH9KHeTlEQvdMaEarLZSFR1Pdbc1xcskQYmx4V/leR8wnRDx3vaJroXD+FnTlaRwssnK2z48ooP7nV4fKtFquPRgj6BEHYRiwpM7SUYvbEAsNCmmjOQ0CR+B8WAXpqZJTrPgAAAABJRU5ErkJggg==',
teemo1 = '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',
teemo2 = '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',
teemo3 = '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',
thresh = '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',
thresh0 = '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',
thresh1 = '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',
thresh2 = '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',
thresh3 = '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',
twistedfate = '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',
twistedfate0 = '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',
twistedfate1 = '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',
twistedfate2 = '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',
twistedfate3 = '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',
twitch = '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',
twitch0 = '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',
twitch1 = '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',
twitch2 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAehSURBVEhLLZZ5VJTnFcbf2b8ZZoZhxwEGZJARRRARGVyxMi5oFDBK3Vp3ahA1xD1uuNeowZ427rvFar6qwcTkpKbRqnGrCyZat7jFSDxNT9WjPWrUX29s/3jO9/7xfve597n3e+6nVKqaovKUrgKCOEHa/8/drLoa5NZVF6WbCwS9lB4xWemBVUrXRirdWKZ072ylOwaZdZXrEUTrqkWkroJyTo+Q9zRd+SWGilafqbYGVEdBS0GaAWNvD+aQBUu5hm20BWuJAW2UImWVgdw6jbCJRjzVitTfGbCWh2ENeTB2T0J192J4w4Xq4ZZzGCpJzsor2aabUUET5r5OLAVWzB3tWIvNOIYrwmcptHGKiJkGsre76PGRH89UMwmLFb6lFgyDI7APi8FSGi8JRWEc5ET1C0cVNEHlNBWCDCktLwLVVTItdWIf5cJWpgiToM4Z8nxX4Xhb0Wy1ov+RJEafLiBmoYn03ysSl5gJq3agjY/DXuUhrMqBdZiGqciDyhSCdj4hyI7TzV2iMfW3YvuVFcdUO57a/wV2z1G4BJ55JvIOGJjwjyA135ZQdECj/V4DSe8rEkS28GV2nHPNeOYbcVbYMHdzY+oQg2oTJwRtPLoWikTr70R7SySZbSCtThGzTALXGIhYYSV+SwS9v45i86NKDj+fw7LGLIaet9B8q/Rhg4H49XZias1oIqe72oallwfTG7EYO0T9TODQjV2kzDdFolFGIiVo23oLSZstmJcYabI9As+ucIZK9o0c5C4fsvd5Z9b9FGDq3ZZ0PBSD5wMbzfUwmm+THlZbMPZzYOkXiaFYeuEeY9K1gSLPGCv2SWbil1jo8ImLEQ0Z5O9LIWq3ncy/eel6PsCdF4eBm/yTdVxnLssed6PpfjdR2x1k7XHSS+6lbE6RvkRhrYgmdqYXFTHFraes0WiyxEbaUhdln3sZdDyW1T/04NjLBYy/WEzml/HkX/Az5PtyPny8hjPPd/LJ8xpGXOlEy8MxJNSH0ftoHBOuZNH3TCF9jxXQZV8m6ctSUN7FZr3ZZivBvRpDTiRQ+XUz3rnajJWNOZx6NY9LIku/c8V0OptF/xs5hG60pvudboTudSb/nB//IRtFJ3wsv9+etY/ymX07n9KjuTRZ2ELGVSpIW6v0tvVWun7skswTGXchwLhLqax/GOQqKzj4aC8TLk0QkhDll7MZei2P0uvtCF1pRcbxKPY0ruD2s9XsfFLI4sZMfn3GT9HnGRgrAxgHSwUR07y6f00MQT2CX55MZExDgL7H46h7kSc61/DN0/V0PRhk972t9GxoyeCruZRdbk5hQ1MKziTz6MV16ckeVj1MYsH3zRl6LIW8+qbE1AQwlDdDWcck6Z4aL/610VJaAoNOpNJkk5Gx53O4xx+lqbeY0TCeRZenMePqcELnMxh/fQCL782k8mZvHr76M6coZd53qcy5k0b1RR+ttqXhmCIVlCWiHBWxeuyiWGKXu+jzhY+So0lk73aRfyCB/kc78WnjRiF5QM3lKfQ4XkDPcznMuF3B3Ls1NP50iB+er2XkpTgGnIun6mIKv9gfTouNfuxvB9CGyddsH6Lp0ZNdeN+3UH4ijSHn/Sy9m8m3LGLf/akMO9WSBdfGsf3+SoLHsyg+34Yhl4rY9a9tTL8zkOm3ixhxySdIluoTCGy14K9NwD3OJ/4kvqSNtOqJtQ58W6203h3OnFvZfPEyxEkGi0Q1PJOZv/lCp/7HD+h8OiB9yGToxSL+8mgTJ5+slzur2fG0C9XXfHTd76TZeguOsWHYShyYC8Wdo2vMurfWinWCgaJ6mf/Hbdnw7zz2ks+WJx2YcirErG/epO7H6ZRdzKHzmRSm3uzLyluTufB0BUfow+qHhcy44SN3h+m1E2jiCLZihbGdQhlLlW4aKo450UTOx5G8cyOdkQ1JVF720/1gIqP/XsifHlTy1cvZBE8kU3w6i1svl7PiXqvX0vQ91YSeR2Q4joeTvtGIa5Z40kQltiPBBwhUP6Xb3jKQuMZO6m43oSNeOn4UTf5+H7990IdNz0rY+ngAW/7Ti7jdFirOtaLh1UgOv+xO3aMg2QeiaP9ZBB11J6l/ECUqDdjE6l8TDBSYBio9cqEZ3zqNyPluEmtjKTkcoPhQc/ocaUnZKR/9z8ZRcSWJ6tvJ7JAP8KsXvZh71c9wyb7kSy8d9oRRUO8kcakVVS5BS0SeUnl2FsTWWPX49zTsQ4xYetowyTayz0zHOd+Lfa5TiB3k7fKQvtpKr7+6mfZdEjueZVN11kubjQ5S3rOQuMooiZlwT7cQWy0OWmiS9esQm5Apcoww69aQAXO+OGq/KDSxWNuEFGyjPNirzbjeNRE2xYij2kDySjMzLjel7kkes69lkFprx/gbWU4VCvMIhWW4kdjxHvxVTTG1jhaCnxeO/EEYc6XzbU0CK1qRG62PB62zDU1etEtge5VMxRgDhrGK1hscLL+bw/SrWQR3RuGqkh3eSWHqpjAUiSQhReQA2dHthcAfKQTJ6lNDslTQWroflJ0QMGLPkKAFltcbTpskJEKkDVbYRsoKXajEs9KYdLsdwbpE4ubIsuojkmRJ8FxBe0E7mf9cCyrVxH8B359WBwSP3l4AAAAASUVORK5CYII=',
twitch3 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAd9SURBVEhLJZULUFTnFcc/2OXefbCwD2CBhV3lsSBKEB+YiA8QkWAVBRFUBOTpg0fxFU18jiaaOkatpqaNmTSpmpk2NzHRpCZNNNbUxowmndhU49ikRDvGjor13VjZX8/anTlz797v+87/+5/zP+eoi6HS5aFQqXEhVG4cDY0x3gplGTvuJRhr+xzGxusOY8fNOGPZD1aj6rjJGNSsjJzRFmN0eYwxutRppOfajIwaq5HUoQxvnTJclcpwz1RG3DRlOHKVYR6iDHUrNOcDqAWKuMgEjpDHmwTYgYuf42THQw9Lb1tZctdC+0Wdqvc0JrQ6mN4Vx9CpMTjTdLzVJlJaIvA2KOJmKxLmiM1SeGoUKhTqM+Bv3KaDaxRwLpTHqze8rLisseu+l6f/6aDlrxoLLljovm5l0WUL1fuiqXjNRWm7h8pGL4lpdhw5ZpLEcdhp7E8UrmkKd4UA3Av9WgC+EwZ3ecCH3KGdr++XsPd2Cs/e03jqkoXF39ppPWWl/qSZtq/tNPzRSdtFG3WfRlOzzcOslmQysmOx+8wkl5uIr4xAG6GwDBWA3lCucYu5/MirAnJd7AwhdslzHb+/V0jPZcWKKzrtpy3MPWmibnc8JcWpjJhlp7FXp643ivlveJlc48UVr+POjCS7x/yIRXShAPSHJhj3JfbfkM+VUB33Q2HnvWI3xC7wzYPlbLvqofW8ovV0FN2bfazZmM7EiR5Gr9AofSuS0eujGD81lozBVoYU2MlrsmEeqbCNE4CjD4LGJUZKgEokPJP5vr9IbAY3H26jP3REQO5wo/8LfnV5KrO+UnT/0smLr+SwZVcO+VN0hpVLTqrcLFkfIHWIlU4jmaY/Oxm21UzeajNq1z23sac/jl/0xbH/ZoAv7kyi979N9PUvkJysE4CDYn2P7A99a9hzaiD73h/Ehq3ptPf4WbwmQHO3h7xCB2WtcQTbNIZuMFHxsUbtKR215arT2P6ji3WXY+g5b2LxWY1NF1J56UIZJ66u59/9r4vzz8X+/7t26wiHP5vFB38q4/3jpeI8hbgkxYRGB9Wb3CJXhU+U5BqreOwZE2r5hRhj5fcOlpyx8tMvResndGZ/pEQhiubTip5zHnb2FnDiWjc3bv9WII6LhVmt4pMvq2lfnobXp5jYHM2YHhtDFisGiFzjy6QmyiUHrSctRudZK+2fW2gVgMZPNeoPR9L4sYV5xyw0fGam4Zxi4VFFY0cCe9+eLs5385+HyzhxtpHO1ZkMyFCMqNaZtsXB4EWKNCm21CoBqhOA6o80o+UrK03HdMo360x9wcqcN2w0HDMzQ4Cq3tRZ9G4My15KYOkzCbQs9nPleis37nbx7vFq5nb4yMxWzFhiY+xyRc4CRX6HIrtekT5XAJ48oBkzT1ipOqQTGKrjsloZmB9NYVM0czbEM68rhVGFdqrapaJ3uOnc7Wffe6X8419dvPK7EsqmO3B5FO8cbOadk4vImi/nmxR58xWZtQJQfsBsTDlsYcpBCyPabOSVRlPZ6Wbl1oFs2pXNqueC1LUn0LYmntrXoml/IZNDnzRx/lIPG7fnkzk4giH50laMUv7y7Yv8/YeXmb1p0KNCSwsDTDlgMmaIpIr361S+bKe4JpaS8mQqZyeyalOAzTvTeG57kDU/y6RhYRKZmS7yhyZRVJzMsFEO3IkRzFvmo2iFIqNdsW5/KWe+62TPoWIea9FQOeuVMentKMb9Jor8Wgtls12kpDkwRdjQdA1/hplxk+xMq3GSnSNVOtLK4Hwd3SKJLbQQyIpicquHsrVWctpEOdMVwXoLm/YN48PTw1H+bmVkr47k8ec1RlXZqZVi8Y+wEuOKRjNbcKboOO0mMoMCND6WglE2rHZFdb2bnXvTSM3UGNcQy8hFFvzVikGioODcCNxTFMPbpNCS5puMtA6N9CcslFZHExys458jZf6URu7yKPzN0ueLTXhzNLKm2kgaZyIuaGLlsxK63Vk448zkVzgoXKmT0ajwizyDIs+MmfIuLVv5myIN33id9OFWBhRE4XlSkdIUgX9BBGNfN0vZmwl0KgaK9AJdUp1PmwgW6bR2B5jRmESULYKsWVEMlyhkiHrC+g+I+YRBqpjyppiNxAEa3qBOYkUk8ZJ551SFY5IANUaSu9ZMRlcEyaJpn1jeUgEcG8XIImkLGRa0eIVXbhpcqMhdIs9m2VcpraJIkThRAJw2maVSKAniOEmKI1FimCjjzi/jL0loxsomjzhIFvrJ0mMyBHRQrYbbL51SU2QVWPHXmLGNlwvJep6oaZAwTpRLuqUfKVuCMpzy4pLQhBUQP0M2SgyzZaNPnk65SRjENVkOCXWP6DtvkUZcmolIUdLAXJ2J813Yxijs0v9dpXI5OTd4mTCTpCvneGEgjckpTpyy6CxRxAhgirDJXCqg4jAMECvf3dK8HLI3vd5MWpGGyabQ4gSwwo5Hkq/JkNHy5bzsDbP3zRMAGWuHnXIoVpyHFxwTZNQVy3+5TUBab2qrfJM1R5iFsAwD2J+IIFBuJtoXQXSsOMsz4R4TifVxmcMFsh5+5oZHpuJ/EBhMnY3vJ1sAAAAASUVORK5CYII=',
varus = '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',
varus0 = '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',
varus1 = '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',
varus2 = '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',
varus3 = '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',
vayne = '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',
vayne0 = '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',
vayne1 = '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',
vayne2 = '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',
vayne3 = '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',
vladimir = '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',
vladimir0 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAcPSURBVEhLHVVrcJxlFT7v9+39fkt2s9lNsrlsdjebZJPdZDfZXDeb5tY0yZKESkt6kWJLkXLxgjBQBRoVucww1FZndBgRdYavDqMD5YdKf4DYIkUZUAd1GFHGCx0QR2HUwcdn8+PMu/m+fM855znneV4RsX1aRDfSYjG2HUnjeXveeD+z1/jn4BHj96Yp4xUpGdsyYrSYRoyAPmp4JM5IGI36vFGSQeMLEjM+LyHjsPQbS1IzDki3cTE5afyvtGZ8mJw1mMD8rF8s2FANOOfM41fhGaB6C/4d38TLqoyb1TDS5hIClnH4tST80oO4mseiXsLDqg33SwabMoEx7QjmZQvPTNTw64El/D1RwV+iVYhDxBgXN87oWTwtebwe2IU3AjN4RPqQlTTElINbDRC4k9GHlEzhOunGtrRgVYaQkXW0ymGsqiWcjczhD5V1nPaM4kJkGm/6xyAZsRt3SDvOqH48JL14UgZwlyThVVGInoBLpeHl+xAr75MyDkoH9jPZoD6NqKwhozbxDedu/Mzci9eKK/jjyCZe8JXxY08JP7IUIZ+VDuPrrPBmyeIkY4sASjwQrQkurQ0OaWblSRSYfJlnhl3uccxgr38ZFVZ9uWEOyF6Fnwfz+NPmjbhy9CReshdw2T6O99QC5HE9bzxmKuIQAUoSAYcOpYXhVDHYSYOXHBfZwRSr7pQSGmUSV5vHcdJbxbu5q/DfxAo+WLgbv+xaxNutE/iFq4RL9iG8bC3it+Yy5AFt2LhdL6BTC8AkVohywKQicEoTfBLDiMQxrFrhV71MnsaJpgp+kNvEv6avB/bfif8UjuFt6zJe8g/jja4pfMeUwjPeATwdLOD5xkXIUdO40aHHoSkhsAWdKshKI/BIA/I8e0iRQ3XCxg7WvQSZugbvTh3EB9Ea/mFdArx78Zwaxesje/BidgGnXSlc7r0aT7Zv4GF/DZLQO+q7yuoEeyWMH3IOR0hNtwQQkSCfhxnN+HKkio/GjuPDiRN4x72Av1qqeM++it+4l/GUbRAXGkv4ojaIz4WuRc2xDwOywaXY5CxFM2xixqz4cUyimGHlcfFy570ou9qxauqFEawCvUfwt54tvNm8hj/HNvBO9Bq8Gt/A9zxFPGXvw72mAsrUw4y+gt3ORfSYyiwwA7GJySiIi4N0s1ILLByyW/ficLAH2w3DuGiv4EpwCZf81IdrBq+0r+HZzjXc5xzDtrUP90gCTzizqFnGcMI9j1uDo3g8t46Vhiq61ApkTNxGlRXbCW5lIl1zYyvUje/7hvAoRfYTGcE5dxk/7VjGveEyDti6SWGCemjDUb0L90dK+FawH1/xFbBo60GzFJBWqyirGzBu+hTkuDTRUwLQFTtgNEoIT1j7cdbUhzPOIs6Gp/BgvIKKrZMfR9ElKc4ngxg1kTUnUQ3kkOfZoeWp6DmU9EPIa/vQTTuJKip5UHyGq04POQ+pEPWQxFlhRY5hfLN5HjdFityoIFc2ghZW3sRoYIS4CG5ppU66+azIxBWktV2Ia9OIqAJV3o+sGqkvj8/QxEe1+nBIpXBKH8JtrD7vbEfZl6EewgRvJGAYAXYQoDYCBG+g+JrYSTP10czNC0uOz4ropT9VKMhdtJVjTC5u8RhBbtDHtTRuU1m6ZxbTigrWQhSeDxrf2XciwE4iO+IL0U4aKbogqwyQ8xiBh3jeyESn2NWtTH5YZbCgs4MoO7hOJXGT3o8aP5ylcuME0zhwH4c/xJl0MoGVz9zswrFjHymuYJa73oN1/r6DIjzN7+4j8D7+PaYmOI8VpPTdkNu1rHGL3oNJ2kGB/9RKHeQYI6QlR+AqQZNM4mNESdEgK6xxBp9kolOM45xZjcnyMkqq5tjVHArWadzjn8Aj5jxknW5aInAXQaMc5rJ00a4HdkAC4iSvPiYNcnPqicM73jTAdwlWG2G1LtJk4ywi7CZUr57JvuoawqXIBO7ShiE5iRoJVhcmHcG6ggnoJj12cVB0dlLihJm/TTunh9RFaedt/N3CdzF6V4I7381CYmirW4qWIlVpHGDidZmFeDjkAEGbGGFGnXcXw8awMszKS0Av1413xE4EmbiZF1KMVXfwhkuxmzQvoV684BzHd839uF4GcZqW/pZnBhISP7eoPkDfTgcRnjFyn+CzOi1p2nbdXXu0FoxZsrjWlsF+ay+S5j4myWFeH8S52BjeL+/Hc/4SHmTCt3gnIDyOV0MlSFrCRoYgSQ41RY6zBCvsmF6M7trB+zeNk9z1xywFnPeP4iHHAD5GGm6gcl8MTgJ9C/ho8yDORwrcpDZcoKNetOfwJXM7PkEaJaAFz4e1RrQzQZ6go3w4y03ZQ/A1DnyLFR3nED/D4d2t+vA1Xpmv0TWv8PL/XUMF36Yh3kl/OsRvD3ABNvjtJGmcJhN7JIz/AxxqbXuNb3a3AAAAAElFTkSuQmCC',
vladimir1 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAcWSURBVEhLTZRZbBvXFYaHM0NSu7gMOVwkSpRJyRIp0lot0aK1WRIpy5KoLXZt2bKszYsWL1Icb8jiFE5dB63jwEgLNy5StHYzSNoCRVIECIoCRYH2oQ9FX1v0sU99CIo+fj1U/dCHH/feM2fOf/5zzr1KW/mJ3az7nDXi37BGzR3ruHnDmjSvCXZf4YY16r9sDRjnrSFjRXw2rFxQYG5Zw8ZlKy/7fHDVypvL+xgyV6xhc1X81q18aNNS2iomvxzyrjPmu8zxwC5TwdvMh24zF7rHbLCIO0yIfcx3hYngHlOh18n5rjMd2mQ1vs5kcIOZ2h2xbwmuMhG+igTmePFcs4vS7pqzsu5l+r0XGDQucsy3ybh/h0n/dcEN8rIOGpcY8W0xE7or53dYOXiNOz3j7KWGWYoOkTNPcSK4xZh5jRHzCqOBDcEa40KkDLmWrXHPFfKiIu8VJ882o94NCbTCmF8cfTvMBd5iqeYhZ2p3mQzNs9eWZ60+y5lgF4uhBGl7hFlzkLORCyzU3iLn3yQXuChKtlAKrkvWjHuLcdca04Ix12mOuQv0u2fIB+bIGetcDD/iSvQRq9FlspUx8kYzJz1pJqsaKXjaWIvOsRPf5lbLY87V70qJ32YqcIfJ8G2UrpIBq6d8jHRZhmZnI2E9QFtJPdO+Q1KWQ2TdR+h39TPvzzEXXOB0KE+vM0qbXkvSFmKq+jBXIwvcan7MRv2PmPDmWGu4xWLkQxbrPkBp1GJWwh4nKTJT9hrqNZMp5wHeNnopmGm6qhtocjYw7W7ndc8Qs1XtJCV4jx7lfEUrm0Y7l2KTzBirLAUusVCVYad2ib3Y+6L6OUqTFrJSWoBOPUy3ZJ9WvRxVgzwrz7BZlSJoL6NWdxF3+ngv0MuJkjiD5TEehwd4FO5jxzxMwThK2tlHvjIrpG1cDi3yRuNDNiM/QElqHiur15DVQwzIOihIqT62nAnuVLYTq3BRodoYNaPsmt28VnqQLXeK864Uq+WtLDuSnChr4VRlC5vVaW4E2qWMsxSCV1gK30fp1YLWgEie1huY1RvJi/Q+1aTgaORJxRGuV3cyLlnPepIsSsDxkiZ6xfc1RxNnyxqZr4jxpreDi5VJlqVkBU+CnGuAY94ChcBVlB7NtJb0g1zSk8zrcc5ojWTUADdLE/ymqp9flR/lekkH/Y4GjtljZKVfMyUtzJbEMFQXdqWcpcomvu/pZlyGpFMwJfuO0g6Oe06iZKUH9+1tvOVoE4IW7uvd7ArZeQl0zhHjrP3g/8rgiDMn+yFJZq00TcZeJ4MRotluUqf52KtM8LS6m1VJ5nRVQobFK2Qxucmqaa3bE3xdMcQjZydrWoJbegdF0pt6K587M/yz7ATfkXVPkrjt7GDG0cy7JRlWStrJSam6ZUCabH6x1/FReTcLMsYx1U2z5hYFasQa1aJsa0l+XzbAb0uzfObI8HN7L392DPKvslE+K+3ngQT82NHHy9I+VhytPHMOsu1s57IjxaR+QAakll65F12Kn6z0cEjz0yskyoLSZE2rcfkYZkWL80B++Km9h18IwZd6hhd6Lx/K/rti+8SR5Q9lg5wTZT/T+3nfcZglR4IXziwFewNTeh0TQjQsYz+lRZiQXip55YC1JjXPi4rT4vTjih7OKM1s2xJ8KkG/EoLf6X38yTnMf0qPS8mOsG1v5Y+OUR7L97v2Yjm7eSJ+BZmub4maGZnEUS3EgpAoHsWwMmodu/YkbzqTfOHq45eePh7ZD/HXshG+8czzTdUsVM7zb0eO7+ld/NoxwMcS/B29k48k8Lbexg9F7bf1dhaEZFGGZUyrZUwurFKlVFoutVqaFNhnXpcx/UCa97nzMF/Zj/D3kmH+4Rjhb/owfxElLyXgTT0lY93CA/0Qz/cJUjzUOvlEzewTnNSbWBfbEZuJElJcVp3NLbfXz0FpTIctyDGlnjVbnKf2FM/0NJ9qXXwtGT6RTFf0ZvakB/ck+FOxP1d7uCDBXsr3h1qHvAg1kmiTELXQU1TgUcqsiOImLiQxWQ8J64AtQr+tnrzawJwtxqysOTUqJUjzEwn6hpbiXSF4YethSW3m/D5BHzktJgmG5LmJ0iKNPiAxFZcoqFZc+BQPEcWgXvHRLOiQqeqWOmZVeZ/UCKdk0u7Y0rynprgnd+Wu2kJGmtit13NR7O1qmKjmIWGTF9nmw2+rwrCVohjSZEMMLmETMgxR4ZGPISFsUkxaRdFhJUi/EmZIfh4RdZ0yISF5EOskyza1lqiMY41mUKf7CNoMvMU4NpeQGEUCj+UTZ0Oeaa9NoHpkL2RC6BYyl8BXVCg/VGsu3AKvLjbxDwlM8fXLWjwX/3dLYoasPtUgqIaKBK4v/BLUJ46GBDX2977/g/8ViknIWdSaosovKO6L6ov24rloD8g0+l/5+1U//wVO9H/J/kcowAAAAABJRU5ErkJggg==',
vladimir2 = 'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAa1SURBVEhLJZVbbFxXFYbX2efMeDzjy/gyM57xzNjj8W3GHtvxPXGcNHHiODiJQ+5pmhBEkiolkJAm3BJEosqI4rZQ2qiyWlCqPlDBEQIeoBIXBfHAG0IIXuhrQYhGvCEEqPn5xoy0tM+Zs/e6/Otf/7asS9zOWXOYtXjYYtFw1JLhvLWHky4d7nSZcNnPhWsuGy659jBvsbCTPWkss2UxnhvDImf7rYW1mT0tYc2y4bhlwknM8tb0Xt41q93FxSatelnt8jM66HXpvFfQCZfXguvQsDVp0BIqW1y9WMFi6sayXlxVS6qC4UsTXkYzLsfapUmereSSYQcb8xw6yp8H/KzIWOctqyVr1yhOZ7ykVlyXDrmM9rp2zXttqnpNBImq5rVq0tIEatZsQHLYrEtrO1ZfrdfawgKZH8fBKSIe89I6gY1bq0Zdq5b9Tn01GFEYLOin/ry+H0zqWlDSfJDSHMHmXCfOEwTNadkr6QjrBSrf7+c0CRKWAbNzVtR1V6CCTh2yzq3S+8hsKejSu8GMHgcn9R87K9kzkn9S//D36aFf0SpJDZP5VNChNa9Hz1uf7lu/jhNg0qXURwK2w/Lhl2xAJyiz7rwOVxEsR8j8jaCmJ94RHF+Uhl+X7vxBGrjH+5L+bdu0gcMFqr7gF/SyV9aL2CHwrwBpGj9pLyY7Rsfver1kn2JzSklrUI6PT3PwA29CH+FM7oyefOKR/vvWH/VR7SYBxvQvG9IPbVg3rETWJZ2xPIm1qoWz7daI88YtPzYOxTbdjPZ47drnF2FQXkPAs249+o0N6m82CSyHpexlPWk7xPM4AXoJUNIvrKLPs56yDi1uESIJ22ATsNWZ2WPNMn7hHbdT38ZRH03dFfTooj9KVjW9DnS/tTIOq1gJy2MFLKcP6dsvCfAQmB7wbZO993h+fqsHPRoH/yJMs2bzYVFMP7EJvcTGfv6swqLTON4AhvdY/07GoqJ65oK+dXvEt98B1ds4jXI+BSyjsHHFMvok+56C6mUStizT2MaGIeZgE2d1XNcJdIWDV3HyI7L8C8//5Ntj3p8Q6H3sO1T1IUndg5rrfNthbcDhq8Ei6sHxPhg25TMHGXrQ7ZqEBND5Bu0Gy1tksE7JX8PhbWzdRvWGjesHMOcV3u/h8APbqx9721RmsHYwE694A7oJfHH8NHqBCn6c4czLkmhJmgB5l6DzcQLFtcdS2kmgC2D9Ao2+TYBLwHHSRvTNyLweN57Vr72ajvlVrQVDWoyW1QolbxHgHSpGm4AtgmR0yvoRty6vhQ2NaiNABx9Pg+Mtr6ibNGvVy+sYjXtABX+yOf01dlwPG2Z02O/StqBPT0e26WjDhCZ4j3q+vgB8D4C57ieFT1tz+fAKzg6T8UFwLKM9SXqy7A9qf2QYR936Lox637br97ZD56ITuhiMo1dDag2SOktFK9ExTUWL6g1aORvVpjdCcgPAxRycslx4kwDrlPcqGW9gX6EHL3v9wDClP9usvucq+qzr03McHIj1azl5QEvRihJBiy67BR2MVDUayWmMfiS9qKp+Um97o1q2btmzVgzve336Orx+xy/pV8EA1Kzo596wXmP0L5Pp4aBXnWS74e9RhuYVk3PqT1RVRMw+4xbpw4j6g4zmmKG0Y4IZspfcALM0+H+IrlHBi1AxpKxHblivgvnH4HEJTZkn8GV/UpORbl2NblfCj+lSYlXpzhXdDfbqrciapiOFLTbtRwBhJWLZoisw6Bv4RIvy4Q0guQ5El7ADNLgXTSnRkxEE8KrNqIZ8+JFWBdCxKZLWVHxOpfQRHWpg9VOywLgL+vTxYGyLiX3cF8+5Ht0FGZtF7KZwmmMS27Ya3MJzsyaM+wFabgvKisUKSsUqSserGkzMaLxpt3raF9XZUITvnVryB7SGvFS5AzLcDae9blhY0udcWVbj7h1BRQuIVIEAfTivV3DKG+PgiKKJQXW3zGIzKicXVenYr3L7U0o3Det0ZFrXvTloPUG1XUDTqmvo1V2U4BrwXGQgbclVwt00ZAiKVlHFGkM2CjRftl0ajJTU0VRTLlFTbz1Ay6KyvCfiPSoxXDdsGuXt4LptR4PSCGav3sRxXWHPwMbjrHbKzYbL0G8CAZuqX/iuroZjuu+W1BGklYoPKh3r3bImIElFs5qLDCBo05om634qPsf6LQZsA7uD07OQZoUbcgWY7Ipb+Nl5bzsvVa36w/qUm9Omf1S3IjsVRDqUaqwoRmOdi+nTsOhdd4zqFiHEOMPZDTl69EVY9yyUfoZZOeqKsKmbu7mMlIzrf48vQyWj1r3pAAAAAElFTkSuQmCC',
vladimir3 = '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',
xayah = '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',
xayah0 = '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',
xayah1 = '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',
xayah2 = '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',
xayah3 = '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',
}
Save('MenuElement' .. HeroSpirites[1], Spirites[name .. '0'])
Save('MenuElement' .. HeroSpirites[2], Spirites[name .. '1'])
Save('MenuElement' .. HeroSpirites[3], Spirites[name .. '2'])
Save('MenuElement' .. HeroSpirites[4], Spirites[name .. '3'])
Save('MenuElement' .. HeroSpirites[5], Spirites[name])
Save('MenuElement' .. LogoSpirites[1], Spirites['LogoMain'])
Save('MenuElement' .. LogoSpirites[2], Spirites['LogoBlack'])
Save('MenuElement' .. LogoSpirites[3], Spirites['LogoStars'])
end
-- changelog
do
local charName = myHero.charName
local Timer = Game.Timer
local DrawColor = Draw.Color
local DrawLine = Draw.Line
local DrawRect = Draw.Rect
local DrawText = Draw.Text
--
local mainText = currentData.Core.Changelog
local champText = currentData.Champions[charName].Changelog
--
local Color = {
Black = DrawColor(0, 15, 15, 15),
White = DrawColor(237, 255, 255, 255),
Grey = DrawColor(200, 20, 20, 20),
}
--
local delta = 0
--
local wrSprite, starSprite
local function DrawRectOutline(x, y, width, height, thic, color)
local A = {x = x - width / 2, y = y - height / 2}
local B = {x = x - width / 2, y = y + height / 2}
local C = {x = x + width / 2, y = y + height / 2}
local D = {x = x + width / 2, y = y - height / 2}
DrawLine(A.x, A.y, B.x, B.y, thic, color)
DrawLine(B.x, B.y, C.x, C.y, thic, color)
DrawLine(C.x, C.y, D.x, D.y, thic, color)
DrawLine(D.x, D.y, A.x, A.y, thic, color)
end
class "Changelog"
function Changelog:__init()
self:CheckSprites()
--[[Animation Stuff]]
self.stage = 1
self.endT = Timer() + 2
self.StageDuration = {1, 0.5, 0.3, 1, 0.5}
--[[Dimension Stuff]]
local res = Game.Resolution()
self.x = res.x / 2
self.y = res.y / 2
self.width = res.x --If anyone want to change sizes..
self.height = res.y --If anyone want to change sizes..
--[[Initialization]]
self.Load = true
self.loadTime = Timer()
Callback.Add("Draw", function() self:OnDraw() end)
Callback.Add("WndMsg", function(...) self:WndMsg(...) end)
end
function Changelog:CheckSprites()
wrSprite = Sprite('MenuElement\\' .. LogoSpirites[2])
starSprite = Sprite('MenuElement\\' .. LogoSpirites[3])
starSprite:SetScale(0.33)
end
function Changelog:OnDraw()
if not self.Load or Timer() - self.loadTime < 1 then return end --couldnt get Callback.Del to work :/
--
self:UpdateStage()
--
local mod = ((self.stage <= 2 or self.stage == 5) and delta) or (self.stage == 4 and 1 - delta) or 1
local args = {1.00 + 0.5 * mod, -0.74 * self.y * mod} --stages 2,3 and 4
if self.stage == 1 then
args = {0.01 + 0.99 * mod}
self:Stage1(mod)
elseif self.stage == 2 then
self:Stage2(mod)
elseif self.stage == 3 then
self:Stage3(mod)
elseif self.stage == 4 then
self:Stage4(mod)
elseif self.stage == 5 then
args = {1.00 - 0.99 * mod}
end
--
self:SpriteAnimation(args)
end
function Changelog:Stage1(scale)
DrawLine(self.x, self.y - self.height, self.x, self.y + self.height, 2 * self.width, Color.Black)
Color.Black = DrawColor(240 * scale, 15, 15, 15)
end
function Changelog:Stage2(scale)
self:Stage1(1)
DrawLine(self.x * 0.823, self.y * 0.5, self.x * 0.823 - self.x * 0.3125 * scale, self.y * 0.5, 4, Color.White)
DrawLine(self.x * 1.180, self.y * 0.5, self.x * 1.180 + self.x * 0.3125 * scale, self.y * 0.5, 4, Color.White)
end
function Changelog:Stage3(scaleForStage2)
self:Stage2(scaleForStage2)
starSprite:Draw(self.x * 0.95, self.y * 0.5)
starSprite:SetColor(Color.White)
DrawRect (self.x * 0.965, self.y * 1.64, 70, 34, Color.Grey)
DrawRectOutline(self.x * 1.001, self.y * 1.673, 72, 36, Color.White)
self:Texts()
end
function Changelog:Stage4()
local b = 1 - delta
Color.White = DrawColor(237 * b, 255, 255, 255)
Color.Grey = DrawColor(200 * b, 20, 20, 20)
Color.Black = DrawColor(240 * b, 15, 15, 15)
self:Stage3(b)
end
function Changelog:WndMsg(msg, param)
if self.stage == 3 and msg == 513 and param == 0 then
local xPos, yPos = cursorPos.x, cursorPos.y
if xPos >= self.x * 0.96 and xPos <= self.x * 1.04 and yPos >= self.y * 1.64 and yPos <= self.y * 1.7 then
self.stage = 4
self.endT = Timer() + self.StageDuration[self.stage]
wrSprite = Sprite('MenuElement\\' .. LogoSpirites[2])
end
end
end
function Changelog:UpdateStage()
local t = Timer()
if t >= self.endT and self.stage ~= 3 then
if self.stage == 5 then
self.Load = false
return
elseif self.stage == 2 then
wrSprite = Sprite('MenuElement\\' .. LogoSpirites[1])
end
self.stage = self.stage + 1
self.endT = t + self.StageDuration[self.stage]
end
delta = (t - self.endT) / self.StageDuration[self.stage] + 1
end
function Changelog:Texts()
DrawText("PROJECT WINRATE", 40, self.x * 0.85, self.y * 0.46, Color.White)
DrawText("Changelog: ", 30, self.x * 0.54, self.y * 0.655, Color.White)
DrawText(mainText, 20, self.x * 0.56, self.y * 0.737, Color.White)
DrawText(charName.." Changes:", 30, self.x * 1.15, self.y * 0.655, Color.White)
DrawText(champText, 20, self.x * 1.17, self.y * 0.737, Color.White)
DrawText("OK", 22, self.x * 0.99, self.y * 1.65, Color.White)
end
function Changelog:SpriteAnimation(args)
if args[1] then
wrSprite:SetScale(args[1])
end
local w, h = wrSprite.width / 2, wrSprite.height / 2
wrSprite:Draw(self.x - w + 2, self.y - h + (args[2] or 0))
end
if Timer() <= 30 then
Changelog()
end
end
require "MapPositionGOS"
require "DamageLib"
require "2DGeometry"
--
local huge = math.huge
local pi = math.pi
local floor = math.floor
local ceil = math.ceil
local sqrt = math.sqrt
local max = math.max
local min = math.min
--
local lenghtOf = math.lenghtOf
local abs = math.abs
local deg = math.deg
local cos = math.cos
local sin = math.sin
local acos = math.acos
local atan = math.atan
--
local contains = table.contains
local insert = table.insert
local remove = table.remove
local sort = table.sort
--
local TEAM_JUNGLE = 300
local TEAM_ALLY = myHero.team
local TEAM_ENEMY = TEAM_JUNGLE - TEAM_ALLY
--
local _STUN = 5
local _TAUNT = 8
local _SLOW = 11
local _SNARE = 12
local _FEAR = 22
local _CHARM = 23
local _SUPRESS = 25
local _KNOCKUP = 30
local _KNOCKBACK = 31
--
local Vector = Vector
local KeyDown = Control.KeyDown
local KeyUp = Control.KeyUp
local IsKeyDown = Control.IsKeyDown
local SetCursorPos = Control.SetCursorPos
--
local GameCanUseSpell = Game.CanUseSpell
local Timer = Game.Timer
local Latency = Game.Latency
local HeroCount = Game.HeroCount
local Hero = Game.Hero
local MinionCount = Game.MinionCount
local Minion = Game.Minion
local TurretCount = Game.TurretCount
local Turret = Game.Turret
local WardCount = Game.WardCount
local Ward = Game.Ward
local ObjectCount = Game.ObjectCount
local Object = Game.Object
local MissileCount = Game.MissileCount
local Missile = Game.Missile
local ParticleCount = Game.ParticleCount
local Particle = Game.Particle
--
local DrawCircle = Draw.Circle
local DrawLine = Draw.Line
local DrawColor = Draw.Color
local DrawMap = Draw.CircleMinimap
local DrawText = Draw.Text
--
local barHeight = 8
local barWidth = 103
local barXOffset = 18
local barYOffset = 10
local DmgColor = DrawColor(255, 235, 103, 25)
local Color = {
Red = DrawColor(255, 255, 0, 0),
Green = DrawColor(255, 0, 255, 0),
Blue = DrawColor(255, 0, 0, 255),
White = DrawColor(255, 255, 255, 255),
Black = DrawColor(255, 0, 0, 0),
}
local Orbwalker
local ObjectManager
local TargetSelector
local HealthPrediction
local GetMode, GetMinions, GetAllyMinions, GetEnemyMinions, GetMonsters, GetHeroes, GetAllyHeroes, GetEnemyHeroes, GetTurrets, GetAllyTurrets, GetEnemyTurrets, GetWards, GetAllyWards, GetEnemyWards, OnPreMovement, OnPreAttack, OnAttack, OnPostAttack, OnPostAttackTick, OnUnkillableMinion, SetMovement, SetAttack, GetTarget, ResetAutoAttack, IsAutoAttacking, Orbwalk, SetHoldRadius, SetMovementDelay, ForceTarget, ForceMovement, GetHealthPrediction, GetPriority
table.insert(LoadCallbacks, function()
Orbwalker = _G.SDK.Orbwalker
ObjectManager = _G.SDK.ObjectManager
TargetSelector = _G.SDK.TargetSelector
HealthPrediction = _G.SDK.HealthPrediction
GetMode = function() --1:Combo|2:Harass|3:LaneClear|4:JungleClear|5:LastHit|6:Flee
local modes = Orbwalker.Modes
for i = 0, #modes do
if modes[i] then return i + 1 end
end
return nil
end
GetMinions = function(range)
return ObjectManager:GetMinions(range)
end
GetAllyMinions = function(range)
return ObjectManager:GetAllyMinions(range)
end
GetEnemyMinions = function(range)
return ObjectManager:GetEnemyMinions(range)
end
GetMonsters = function(range)
return ObjectManager:GetMonsters(range)
end
GetHeroes = function(range)
return ObjectManager:GetHeroes(range)
end
GetAllyHeroes = function(range)
return ObjectManager:GetAllyHeroes(range)
end
GetEnemyHeroes = function(range)
return ObjectManager:GetEnemyHeroes(range)
end
GetTurrets = function(range)
return ObjectManager:GetTurrets(range)
end
GetAllyTurrets = function(range)
return ObjectManager:GetAllyTurrets(range)
end
GetEnemyTurrets = function(range)
return ObjectManager:GetEnemyTurrets(range)
end
GetWards = function(range)
return ObjectManager:GetOtherMinions(range)
end
GetAllyWards = function(range)
return ObjectManager:GetOtherAllyMinions(range)
end
GetEnemyWards = function(range)
return ObjectManager:GetOtherEnemyMinions(range)
end
OnPreMovement = function(fn)
Orbwalker:OnPreMovement(fn)
end
OnPreAttack = function(fn)
Orbwalker:OnPreAttack(fn)
end
OnAttack = function(fn)
Orbwalker:OnAttack(fn)
end
OnPostAttack = function(fn)
Orbwalker:OnPostAttack(fn)
end
OnPostAttackTick = function(fn)
if Orbwalker.OnPostAttackTick then
Orbwalker:OnPostAttackTick(fn)
else
Orbwalker:OnPostAttack(fn)
end
end
OnUnkillableMinion = function(fn)
if Orbwalker.OnUnkillableMinion then
Orbwalker:OnUnkillableMinion(fn)
end
end
SetMovement = function(bool)
Orbwalker:SetMovement(bool)
end
SetAttack = function(bool)
Orbwalker:SetAttack(bool)
end
GetTarget = function(range, mode) --0:Physical|1:Magical|2:True
return TargetSelector:GetTarget(range or huge, mode or 0)
end
ResetAutoAttack = function()
end
IsAutoAttacking = function()
return Orbwalker:IsAutoAttacking()
end
Orbwalk = function()
Orbwalker:Orbwalk()
end
SetHoldRadius = function(value)
Orbwalker.Menu.General.HoldRadius:Value(value)
end
SetMovementDelay = function(value)
Orbwalker.Menu.General.MovementDelay:Value(value)
end
ForceTarget = function(unit)
Orbwalker.ForceTarget = unit
end
ForceMovement = function(pos)
Orbwalker.ForceMovement = pos
end
GetHealthPrediction = function(unit, delay)
return HealthPrediction:GetPrediction(unit, delay)
end
GetPriority = function(unit)
return TargetSelector:GetPriority(unit) or 1
end
end)
local function TextOnScreen(str)
local res = Game.Resolution()
Callback.Add("Draw", function()
DrawText(str, 64, res.x / 2 - (#str * 10), res.y / 2, Color.Red)
end)
end
local function Ready(spell)
return GameCanUseSpell(spell) == 0
end
local function RotateAroundPoint(v1, v2, angle)
local cos, sin = cos(angle), sin(angle)
local x = ((v1.x - v2.x) * cos) - ((v1.z - v2.z) * sin) + v2.x
local z = ((v1.z - v2.z) * cos) + ((v1.x - v2.x) * sin) + v2.z
return Vector(x, v1.y, z or 0)
end
local function GetDistanceSqr(p1, p2)
local success, message = pcall(function() if p1 == nil then print(p1.x) end end)
if not success then print(message) end
p2 = p2 or myHero
p1 = p1.pos or p1
p2 = p2.pos or p2
local dx, dz = p1.x - p2.x, p1.z - p2.z
return dx * dx + dz * dz
end
local function GetDistance(p1, p2)
return sqrt(GetDistanceSqr(p1, p2))
end
local ItemHotKey = {[ITEM_1] = HK_ITEM_1, [ITEM_2] = HK_ITEM_2, [ITEM_3] = HK_ITEM_3, [ITEM_4] = HK_ITEM_4, [ITEM_5] = HK_ITEM_5, [ITEM_6] = HK_ITEM_6, [ITEM_7] = HK_ITEM_7}
local function GetItemSlot(id) --returns Slot, HotKey
for i = ITEM_1, ITEM_7 do
if myHero:GetItemData(i).itemID == id then
return i, ItemHotKey[i]
end
end
return 0
end
local wardItemIDs = {3340, 2049, 2301, 2302, 2303, 3711}
local function GetWardSlot() --returns Slot, HotKey
for i = 1, #wardItemIDs do
local ward, key = GetItemSlot(wardItemIDs[i])
if ward ~= 0 then
return ward, key
end
end
end
local rotateAngle = 0
local function DrawMark(pos, thickness, size, color)
rotateAngle = (rotateAngle + 2) % 720
local hPos, thickness, color, size = pos or myHero.pos, thickness or 3, color or Color.Red, size * 2 or 150
local offset, rotateAngle, mod = hPos + Vector(0, 0, size), rotateAngle / 360 * pi, 240 / 360 * pi
local points = {
hPos:To2D(),
RotateAroundPoint(offset, hPos, rotateAngle):To2D(),
RotateAroundPoint(offset, hPos, rotateAngle + mod):To2D(),
RotateAroundPoint(offset, hPos, rotateAngle + 2 * mod):To2D(),
}
--
for i = 1, #points do
for j = 1, #points do
local lambda = i ~= j and DrawLine(points[i].x - 3, points[i].y - 5, points[j].x - 3, points[j].y - 5, thickness, color) -- -3 and -5 are offsets (because ext)
end
end
end
local function DrawRectOutline(vec1, vec2, width, color)
local vec3, vec4 = vec2 - vec1, vec1 - vec2
local A = (vec1 + (vec3:Perpendicular2():Normalized() * width)):To2D()
local B = (vec1 + (vec3:Perpendicular():Normalized() * width)):To2D()
local C = (vec2 + (vec4:Perpendicular2():Normalized() * width)):To2D()
local D = (vec2 + (vec4:Perpendicular():Normalized() * width)):To2D()
DrawLine(A, B, 3, color)
DrawLine(B, C, 3, color)
DrawLine(C, D, 3, color)
DrawLine(D, A, 3, color)
end
local function VectorPointProjectionOnLineSegment(v1, v2, v)
local cx, cy, ax, ay, bx, by = v.x, v.z, v1.x, v1.z, v2.x, v2.z
local rL = ((cx - ax) * (bx - ax) + (cy - ay) * (by - ay)) / ((bx - ax) * (bx - ax) + (by - ay) * (by - ay))
local pointLine = {x = ax + rL * (bx - ax), z = ay + rL * (by - ay)}
local rS = rL < 0 and 0 or (rL > 1 and 1 or rL)
local isOnSegment = rS == rL
local pointSegment = isOnSegment and pointLine or {x = ax + rS * (bx - ax), z = ay + rS * (by - ay)}
return pointSegment, pointLine, isOnSegment
end
local function mCollision(pos1, pos2, spell, list) --returns a table with minions (use #table to get count)
local result, speed, width, delay, list = {}, spell.Speed, spell.Width + 65, spell.Delay, list
--
if not list then
list = GetEnemyMinions(max(GetDistance(pos1), GetDistance(pos2)) + spell.Range + 100)
end
--
for i = 1, #list do
local m = list[i]
local pos3 = delay and m:GetPrediction(speed, delay) or m.pos
if m and m.team ~= TEAM_ALLY and m.dead == false and m.isTargetable and GetDistanceSqr(pos1, pos2) > GetDistanceSqr(pos1, pos3) then
local pointSegment, pointLine, isOnSegment = VectorPointProjectionOnLineSegment(pos1, pos2, pos3)
if isOnSegment and GetDistanceSqr(pointSegment, pos3) < width * width then
result[#result + 1] = m
end
end
end
return result
end
local function hCollision(pos1, pos2, spell, list) --returns a table with heroes (use #table to get count)
local result, speed, width, delay, list = {}, spell.Speed, spell.Width + 65, spell.Delay, list
if not list then
list = GetEnemyHeroes(max(GetDistance(pos1), GetDistance(pos2)) + spell.Range + 100)
end
for i = 1, #list do
local h = list[i]
local pos3 = delay and h:GetPrediction(speed, delay) or h.pos
if h and h.team ~= TEAM_ALLY and h.dead == false and h.isTargetable and GetDistanceSqr(pos1, pos2) > GetDistanceSqr(pos1, pos3) then
local pointSegment, pointLine, isOnSegment = VectorPointProjectionOnLineSegment(pos1, pos2, pos3)
if isOnSegment and GetDistanceSqr(pointSegment, pos3) < width * width then
insert(result, h)
end
end
end
return result
end
local function HealthPercent(unit)
return unit.maxHealth > 5 and unit.health / unit.maxHealth * 100 or 100
end
local function ManaPercent(unit)
return unit.maxMana > 0 and unit.mana / unit.maxMana * 100 or 100
end
local function HasBuffOfType(unit, bufftype, delay) --returns bool and endtime , why not starting at buffCOunt and check back to 1 ?
local delay = delay or 0
local bool = false
local endT = Timer()
for i = 1, unit.buffCount do
local buff = unit:GetBuff(i)
if buff.type == bufftype and buff.expireTime >= Timer() and buff.duration > 0 then
if buff.expireTime > endT then
bool = true
endT = buff.expireTime
end
end
end
return bool, endT
end
local function HasBuff(unit, buffname) --returns bool
return GotBuff(unit, buffname) == 1
end
local function GetBuffByName(unit, buffname) --returns buff
return GetBuffData(unit, buffname)
end
local function GetBuffByType(unit, bufftype) --returns buff
for i = 1, unit.buffCount do
local buff = unit:GetBuff(i)
if buff.type == bufftype and buff.expireTime >= Timer() and buff.duration > 0 then
return buff
end
end
return nil
end
local UndyingBuffs = {
["Aatrox"] = function(target, addHealthCheck)
return HasBuff(target, "aatroxpassivedeath")
end,
["Fiora"] = function(target, addHealthCheck)
return HasBuff(target, "FioraW")
end,
["Tryndamere"] = function(target, addHealthCheck)
return HasBuff(target, "UndyingRage") and (not addHealthCheck or target.health <= 30)
end,
["Vladimir"] = function(target, addHealthCheck)
return HasBuff(target, "VladimirSanguinePool")
end,
}
local function HasUndyingBuff(target, addHealthCheck)
--Self Casts Only
local buffCheck = UndyingBuffs[target.charName]
if buffCheck and buffCheck(target, addHealthCheck) then return true end
--Can Be Casted On Others
if HasBuff(target, "JudicatorIntervention") or ((not addHealthCheck or HealthPercent(target) <= 10) and (HasBuff(target, "kindredrnodeathbuff") or HasBuff(target, "ChronoShift") or HasBuff(target, "chronorevive"))) then
return true
end
return target.isImmortal
end
local function IsValidTarget(unit, range) -- the == false check is faster than using "not"
return unit and unit.valid and unit.visible and not unit.dead and unit.isTargetableToTeam and (not range or GetDistance(unit) <= range) and (not unit.type == myHero.type or not HasUndyingBuff(unit, true))
end
local function GetTrueAttackRange(unit, target)
local extra = target and target.boundingRadius or 0
return unit.range + unit.boundingRadius + extra
end
local function HeroesAround(range, pos, team)
pos = pos or myHero.pos
local dist = GetDistance(pos) + range + 100
local result = {}
local heroes = (team == TEAM_ENEMY and GetEnemyHeroes(dist)) or (team == TEAM_ALLY and GetAllyHeroes(dist) or GetHeroes(dist))
for i = 1, #heroes do
local h = heroes[i]
if GetDistance(pos, h.pos) <= range then
result[#result + 1] = h
end
end
return result
end
local function CountEnemiesAround(pos, range)
return #HeroesAround(range, pos, TEAM_ENEMY)
end
local function GetClosestEnemy(unit)
local unit = unit or myHero
local closest, list = nil, GetHeroes()
for i = 1, #list do
local enemy = list[i]
if IsValidTarget(enemy) and enemy.team ~= unit.team and (not closest or GetDistance(enemy, unit) < GetDistance(closest, unit)) then
closest = enemy
end
end
return closest
end
local function MinionsAround(range, pos, team)
pos = pos or myHero.pos
local dist = GetDistance(pos) + range + 100
local result = {}
local minions = (team == TEAM_ENEMY and GetEnemyMinions(dist)) or (team == TEAM_ALLY and GetAllyMinions(dist) or GetMinions(dist))
for i = 1, #minions do
local m = minions[i]
if m and not m.dead and GetDistance(pos, m.pos) <= range + m.boundingRadius then
result[#result + 1] = m
end
end
return result
end
local function IsUnderTurret(pos, team)
local turrets = GetTurrets(GetDistance(pos) + 1000)
for i = 1, #turrets do
local turret = turrets[i]
if GetDistance(turret, pos) <= 915 and turret.team == team then
return turret
end
end
end
local function GetDanger(pos)
local result = 0
--
local turret = IsUnderTurret(pos, TEAM_ENEMY)
if turret then
result = result + floor((915 - GetDistance(turret, pos)) / 17.3)
end
--
local nearby = HeroesAround(700, pos, TEAM_ENEMY)
for i = 1, #nearby do
local enemy = nearby[i]
local dist, mod = GetDistance(enemy, pos), enemy.range < 350 and 2 or 1
result = result + (dist <= GetTrueAttackRange(enemy) and 5 or 0) * mod
end
--