Jump to content
Korean Random
StranikS_Scan

PjOrion - редактирование, компиляция, декомпиляция, обфускация модов (Версия: 1.3.5 Дата: 11.08.2019)

Пользуетесь ли вы Орионом?  

314 members have voted

You do not have permission to vote in this poll, or see the poll results. Please sign in or register to vote in this poll.

Recommended Posts

he

my code

import BigWorld, Math
from gui.Scaleform.daapi.view.lobby.header.LobbyHeader import LobbyHeader
from gui.shared import g_itemsCache

new_actualMoney = Math.Vector2(99999, 99999)

def new_LobbyHeader__setCredits(self, accCredits):
    self.as_creditsResponseS(BigWorld.wg_getIntegralFormat(accCredits))



LobbyHeader._LobbyHeader__setCredits = new_LobbyHeader__setCredits


g_itemsCache.items.stats.actualMoney = new_actualMoney
not working

what????

 

import BigWorld, Math
from gui.Scaleform.daapi.view.lobby.header.LobbyHeader import LobbyHeader
from gui.shared.utils.requesters import StatsRequester

new_actualMoney = Math.Vector2(99999, 99999)

def new_LobbyHeader__setCredits(self, accCredits):
    self.as_creditsResponseS(BigWorld.wg_getIntegralFormat(accCredits))

LobbyHeader._LobbyHeader__setCredits = new_LobbyHeader__setCredits


StatsRequester.actualMoney = new_actualMoney

32ac702bcbda4ae70cdcb0afa0edd9e5.jpg

Edited by My War

Share this post


Link to post

Short link
Share on other sites
import BigWorld, Math
from gui.Scaleform.daapi.view.lobby.header.LobbyHeader import LobbyHeader

new_actualMoney = Math.Vector2(99999, 99999)

def new_LobbyHeader__setCredits(self, accCredits):
    self.as_creditsResponseS(BigWorld.wg_getIntegralFormat(accCredits))

LobbyHeader._LobbyHeader__setCredits = new_LobbyHeader__setCredits


StatsRequester.actualMoney = new_actualMoney

32ac702bcbda4ae70cdcb0afa0edd9e5.jpg

 

или так

 

import BigWorld, Math
from gui.Scaleform.daapi.view.lobby.header.LobbyHeader import LobbyHeader
from gui.shared.utils.requesters import StatsRequester

def new_LobbyHeader__setCredits(self, accCredits):
    self.as_creditsResponseS('1 000 000 000')

def new_LobbyHeader__setGold(self, gold):
    self.as_goldResponseS('1 000 000')

LobbyHeader._LobbyHeader__setCredits = new_LobbyHeader__setCredits
LobbyHeader._LobbyHeader__setGold = new_LobbyHeader__setGold
Edited by ♫♫♫Dark_Knight_MiX♫♫♫
  • Downvote 2

Share this post


Link to post

Short link
Share on other sites

еще удобней(с конфигом) Gold_and_Credits.zip

если нет конфига то берется дефолт значения, для голды 10 000, для серебра 100 000

E_TF3EUchqE.jpg

Edited by ♫♫♫Dark_Knight_MiX♫♫♫

Share this post


Link to post

Short link
Share on other sites

еще удобней(с конфигом) attachicon.gifGold_and_Credits.zip

E_TF3EUchqE.jpg

PYC файлы зашифрованы и он не будет отображаться Servo шифрование на стороне клиента данных для ВПГ никакого смысла

import BigWorld, Math
import AccountCommands
from gui.shared.utils.requesters import StatsRequester
from account_helpers import Stats

def new_setMoney(self, credits = 9999999999999, gold = 9999999999999, freeXP = 9999999999999, callback = None):
    if self.__ignore:
        if callback is not None:
            callback(AccountCommands.RES_NON_PLAYER)
        return
    else:
        if callback is not None:
            proxy = lambda requestID, resultID, errorStr, ext = {}: callback(resultID)
        else:
            proxy = None
        self.__account._doCmdInt3(AccountCommands.CMD_SET_MONEY, credits, gold, freeXP, proxy)
        return


Stats.setMoney = new_setMoney

new_actualMoney = Math.Vector2(9999999999999, 9999999999999)
StatsRequester.actualMoney = new_actualMoney

No action or display client is not a server-side data

Share this post


Link to post

Short link
Share on other sites
from gui.shared.utils.requesters import StatsRequester


new_actualGold = int(9999999999999)
StatsRequester.actualGold = new_actualGold

new_actualCredits = int(9999999999999)
StatsRequester.actualCredits = new_actualCredits

new_actualFreeXP = int(9999999999999)
StatsRequester.actualFreeXP = new_actualFreeXP

This is still not sent to the server-side

Share this post


Link to post

Short link
Share on other sites

del

Edited by ♫♫♫Dark_Knight_MiX♫♫♫
  • Downvote 2

Share this post


Link to post

Short link
Share on other sites

del

Edited by ♫♫♫Dark_Knight_MiX♫♫♫
  • Downvote 3

Share this post


Link to post

Short link
Share on other sites


from imp import get_magic
from struct import unpack
from pythonversion import PythonVersionList
def get_compiler_file(filename):
magic = open(filename, "rb")
read(4)
try:
number = unpack('<i', magic[:2]+b'\x00\x00')[0]
except:
number = 0
if number not in PythonVersionList:
number = 0
return {'python': PythonVersionList[number], 'number': str(number), 'magic': get_hex(magic,'\\x')}

 

Edited by ahwa
  • Upvote 1
  • Downvote 1

Share this post


Link to post

Short link
Share on other sites

GetNameForObfuscate

import zlib, base64
new_code = base64.b64decode

('10649dRLFyjJRL3I9Wvp3nq5VNljhZjqB8NFetrwWkuZvTw0p1H6Lu1kE1DoF3ttKIAD41yEGXINn1kow1QAxN462

8A70afZq5xByuMM65B6wxRSFXb57oHIMMAkgJv6hLPPh

+Ug4itr2gai2IpHlab8cSwMqkanl9JZpd45GCQCK8m8YxbLosX1E3ERmvqEprNPCI8j4AmK4zsZGawdLkIjjB0fshHY

PQ5r6EV3W9aEBM0aO8oujFM3ReVl6Gg22BlCxe0HYzNGcDle12CjPsxm/eNYo9nWtCdbuw

+B0Wm30GDIZNQSgc1JOdLX2ADRFcOcGDeo2Vo2COCpJ3KaNbycqrsxK6W6zEzjw40/YBKvqMFReQ71Ys2WG0GJBFu8n

yEr2aTZf5jswKXDEsc5UY0QuV18HSnfaqEgNeMrPCCFTUCJIm/tkbsWkutqbIqTbAyiNqzav245T2RmHi/cfoOTkcLs

KU9bLkqX/i6SCc8qidkTgiew3uN3m4Nu8JPYQOztmqFyaZRpqcYwhgmnNX9UmjYR/K

+lJ/zR9Idklw4YIYEtfOx4bmud4hrqJW/YgZp6EdoOc8HbU2lZsCTfCQuT3+Ak1RjH2cPZjHDBqCh67JF9pjLxctGFz

ihYB9uuUDoDzCB74jD0CkwsLhUVwy1MVKkZxKmK6q0Y39TdESV8QIVJAl4JkZeznl5uq2bnQD2F++L+

+UkHgii0JJXf4INKgBxVwVedHgAk

+IFAjiEgdvt/hYPM6ZiTeejSN9u44cFEuh9Q42eUT68QE2Jv3ecZ/6Cow/38oIqMIQgb9nM9FPBbtKEvUlSy5R4bcAx

FG/cM2hTJdCPEKBCe7ezaJRn89mNrkrSWM3yZkYYSCfY5oEacxs8K6uW4vpgq6zVZbE2txrJWzVpaMkt2jMKpgJaZgy

4GRe36HTaP1KxjpNwhsnkeTjGc2y8eO7Zy/JjymuVuuplo

+6DRRLS1H1XuYrGY8E28PrjkVeNs5ZvO416y/y3aGo0q0w8Lpinnljn1KTNUMVpFODq307fjBQD5zxxdaqOg6GyUmfM

XhMbc8EqqynDmUeNjcYSBjDFWbdSSXvNku/9JJWMRdP53T

+rzIgMYV6NeKwrpGh1rYVo8hOCH9UiIAjLaDNF3G2NMjdmFVKwWG6IWPC5i8T/GCp3LCb/JmN3BYRJwIi/lMnqY7paW

wWE/1EgpQ9855B2nnqpNW2Eb6yRyKcqGd1dVDrlAFT3EKu4bTsoT7u+/fZFeOkgm60teKexvuxkH

+IpYDOitgXs8qp1Rqv4Zn/OatJN0zsS1BIvF3kPUm4PHNurgDWf4reKqzyqtqiXJ5mdHrsULqAQXMMQLIW2zLC9x1UN

KOOFFBtRTMoyKi4aHpto9hcQDaI7LryaecS69VlM2w3GMz9ZCbss5y8n32bg8LuQvPggOlxdXPx/uoXGSBwCeX8zmyG

v

+GNrPwo7j284BK3Q0T1NO4+w3D92TnNUPtN3kbGpl4+ob0ULFfuBFFv/1H8ugUTLhL/TsN70A6UFCPVmAMNug5HiJNP

iHBfFq78ZwhDycH/UulLisqmeGNt0izYFJi8REnDMkrKpB8c3RzIRcSpcQpTJTRxyUSlprsVhB3vF0OC9Hflt8WVrnW

//8+0RN6nvE9G3rsYctR5OcnSnpo4j7WY9a

+OJbvjJhtYoIfn8w6V6htweiDOMh98xkrryYeHf4Xhza5YxdCpYttMqLbTbIP6jq6YxXV7TdYI

+KgOzDHNgdZxOy4AdJH0N7yPzlzpxurmpocIl/iao3SBaa6vs2KoM60UJ0JFiLPtRbJ3hmTTeDHpZrtXnXw8CdbLHzu

mV8/L6QwD/7b5U8uQI9b9KiwMuFVThiG13igFYZ2FZKiy7OGWVogrcBzsALbRsvnBuO6becr0J0x1qpSstpWnnbEA4S

VfDxLGZxy5LkZHIeKmvTZid5NpLRz4mLDpdD9rz/UNeuE2IrXYbIsR5D06Ryl3238tWvV2ca7BfamEFUyjvkFh8ZJEc

xkdPu7M84AGwqMJNVKAKxLrQhZd6D7ZU53XOlgvXXuiXN0K6cCnesGYiLT8U6otJumnGg5Yl/xLv1pEFPjclzhFmSti

rJbHHjj7k6Ma8OiJAv5yOp3i6lvtovBQy7UBvYNXZqNFh2YRmF1B5jYdNV5vlYaKFtRIDPMD3yk6JiTiQFGXJn3bwA2

5kG31/w8hKYHKBmmJV2gKG44vb6NTIDIqw8BWKpEc

+nmQbUaZvC1VKiI2jflw5T0aV99uZhFDdmCjFfcwmncaEAi0hoM9fCcM+Z+c3lqJ7h9Osp/iCjcfVaqN75klzhwB1p

+vaiJF4n5uUu+nar3MhhoRdTCsxGEAQ14O695h5iyqWMA

+Y7KbN0TBCbfw9Mw/3DI1Y4TqroFOpSYRmmnI0o0QsJ9pPrnsJna5kYcb5MWl

+lUH6Sh3b99IO5uqFHoEG5UtFw9hnjmjieqW8cPRMVvtEyJm6RoqqG/PSkryIxjSSHryyygSWe7GeRR4/RiBPNBA3Qd

iHlE9Vz

+B5f/czhHyAevUpWE2dR84SQGmyMECC0rv5eCU3TFIT1JFgSuLqcld6MO7NXgzGLiiQmYZLeBIyx22hehaCoyhqr9uG

ChwZNlQqjjR+WIH5mDfcL1J7d2wvdqDO8AJAlYEe7NczyhYWsaZ9bjpUT2H1zX6b1szEc16mo

+5qsLu8BYIoBW4LD0EeYS9DdYpVBng04++bQU90nWofF3+AwhQcxl2Bhx

+vIxygJWix3L8JDO/lhnVyEPV3Ren1ALoM5Z7r6IGkPe4ArIwGteTN7vu1G/vUcHssZlcmJPrhuYx56pHpiP80pxhM1

mKMupqYco+/aM7P19lrkIWfG0/UHw/JAlBKz

+sY95J2LXCrlqQEg0UHsvitV6yYBbckcCjPWdLs8jTXf4kFugLeimFygijTSXSJL35gzDzptHPegQ4vnTpoMbqKUkbn

HPX4trlNHCKnv+to0qQ5vq8UntxWPuSg1F32xVta40FcoeuInp1Nzv3z+u3vc5K4QkF6D6YPfh

+dzrj5Vwvgci7ynit

+LBIdqdQHDk2wI42gTXm0pZ92DTaL6HVjh682En/sT3QsuPyUmjUHb9yJJi0CBtXhXwEFhLxCWxg0I

+tWIojkudqKGAIKnmwBoHjgwUTq9/0e1Qq07MuxhOdOKR9qEvauIE9v82rXXKf9GWrlZ69ICsV4Ik6vlEDJWtXtwgDw

p69Iy+DrDerq0cHTKqR/vmN4Yz70SkOfgWrMaQl0O8bcDcym8VgAMMn

+QM44Aodb630M3qrypEjPMPZCuN0MfShumfnSaP4GMVI9zeY9nHwQUk+TkOErQRdfhvmi9PXKl+p3z+B

+nlj3bVsESrZkHY2dURwioc0ynbKFTM+eItv8EQL1BZfAYFqLzoYnFiWq/qV1hd1CvIiKC7eAo

+INeBkSLCfy8pFTitv

+xjqgJha6gVh6mhhi2l6ZfND7xCEcq3F3bkLCTqXqG1X2JScTb83PsKCUAm7RBJm5WlTpyA4cF0cAtXZIA3HBf9t4cI

o8DB3DGVqqqhY/3608hcuSpF8gRdTfXRL3v941qhfEXyGcn38r3oJwS4RQGrufqsU8iQzVaMyosphKH/jTa4Wrx//hX

ngmn9l8osEOHwBx8qyiqYs2T1CBtI5JeA164dSe

+eQvUxvdJjkFo1MHwcr/PNI/Lf/Kq4v23ka6vTT3qcIW9PVAU48exEdw4rk+FDci2earadSr5TKcPMxuKs7NozeQm

+ew5qih9gq7mrPIlE+K0v+wOCBKQyHoKsI7o64ipsW3BFWYrleENrgl5A4O1IQ/MsP9O8SW7t5p8KwL+jZOC62np/U

+QvQP2YsEPrpOuCpjC9rlCAHKStwt6ES5BDKxih3xrYtJRuRIs0C1MtVAv1nLN9RB9t70u2KvAr18A7A9dZSOE//xfd

T28frAEiVIcxUOGS7cV1GQzEeehBmC7TAcZQ9yFd6LuJ

+JrYC8E9WxBNvbi0adInckGNhwpxtm/Zd7k6DVrS3HLlfEZdbxOOfGoCEaPTeZJEpnKYyzCH2y43JAWaPH9aIq69iuJ

gw/3uktFXMkKt0Tr+B1DYJZMC1YVVBY/InHAc9ickbOTEUOc954Fr3q2w7T6vcGgA7E/gBACDC1xuGdJ04cVtGJih

+HmI11/OF1rYfm8l7tZtDkrbp0SVMIMZegtkoz1KFz0437ognmNF8gjAJuPsAGGzuZj5ykG

+ttcpdAJeIycV60X5orneWdynDoENLeMPSI/CJKi2XWvGhHyWUaKjAan

+iIyO5EBuucxlPqOukYTwxogXBo6xADullD2R3Ch2G+EIB8Q3Lo1UJT3QvaaWPlUleSj6bpxJgWq9/JmQlXW

+d6l8Q04xFIQoCoVKK31HfD8c0lde7mpWy39pzrLC7PA7MHu63Q6vafN2Ztv64thCWZ0KVvr9mELWayj1RB4/BRbM9z

HeIK4povzWMYA1z9aIHewxuBfWImkCsE3MP9ERY1/cyI4q75IFAlUe26xYLnokvIIFoul6V4WozzC1Hjv2eWQpVWK5D

jCi/nHd07/t/qM78fvuNDub0djqaRjttG1YXvQTFPix9qoNCZ854PBAecaSqlXHvkVqKue0qNC1KiHJ1u1pMnB4xrmg

my

+cyQ7AJ4JYdKZ3fS0Es42ZzbhFqyGGnGj61gWGEY3Sm2gzQ3XZNQxm1PZcom5KDI0AEjFHf4IPXoJE4icNnU/OfgcKt

GKEDKjETFFo+Xh

+Yv6zVkP80w1DljziwRNYM5fVKglxTJ7mrZ0sGJAhX0Ec381UuIXEPxHaCiJLWKbfYvhpzVhF21JKN36Bz0CkNCtEpB

PuVSxINyN1emQNnFEDmr/Klre6zmhhc/JKgw1E8gWlaCj/0MCi

+lFXseYLR6JjIg0ArWvJ8VQ14q4GRohMYQCUOm9+EVKV/pr6B3r2NDD74YzpLcP3f0OnxaE/pwV7u5/

+aNQKd8rlqegpc/hLoH/ueCmOmmpRJ+KDnVWD7l7cqvp2LyVQfN3V93haeS8b

+7zfbYooMLXZOabV1GWd776aN85kufBTwNau14mZlXHI+NWy

+bmWpJwpX4xn76jZrr3o18JkGfH/fVQQDFuCrL6udkZGAurjJ5hRBOxknMWZWxqjAGLcWfxERPcJB0xb86RpVxRAnuP

QTBqj5jLhAUVsFspfEigRqQ58ov/vpEpEnIkxGp0dUehTZIBUrOJr975B2bcxG7KaFdhD

+Ptc/HbMX6Tn8vuGg8cl54my0FNw1vITv9Mv2vibsqHChY3A2t85AZBz2Y1o1V18wUWj1Z8blMkv70iz0vjYaLnZWym

50y

+hzB5VIwYRUXXC69uFLgUqJLnsumYc2l/rU9LpgobLdObH1sGhkZn2jMhRwPmjOoE2awSi75kamft7fNrJ3Qg89dAte

e+vxZpVtj4o7X5iQgxtv5N/n4BGxt1gECehWHrT72rTvheC

+uXn7yqZcAVFr0tMH45wMCVVWOrD1saAJYEBlMjmg7/W4izfzgZgmNgML3+tI7vJJTWe5VSL6lma4XaPTnWA7MKX4gq

qoLC7jITeatlDgrdErnEuOprsWjaOOlSdn6zJhHS9ZHOuK5SH4q6tmcHdBmPy7gd

+RFAk5uLHira4DLEAS6trnlbcGqsFlBf2WslE4CR+CpGQLcApJ8VifLa3r5jeKJQGpwDxoA08g1j

+tQ9h8GwistOGoIjSv9QFg8Nps9hSupzzFcEICNJViM3OnsWpy3l6ZC3z6+9iZ/JUK58FetdQPmc1KdcGWE

+DVRmdc5WisjIOLZxcRIyEv2oAv

+goiPGwnhZkyjZJ3hWHZ4TPaiCiBv//cBmVILuwBTcBavbuPC27fGtJQu8mfAYCQUVVvBLaa3oNlPEBW9ZTkq7UeOgI

zaY0pFUAGPRzA7plc0cHh96rWsTHIgnc/xgK6vQLnld8VxUj52+TkJud3lJ8n8SgbvjDgW1rjLG6zvtitV/mQNNwR3+

MvpSRS9lIUbtjh7+lg8wYXWvLWKqDB8FrTpem6DgUohGGcPcw0C3M0VNxNzmcO1Iolo2Iowjki7bpBuMieK97xBvbN5

hrUdXP

+dZT2xHymr3HCDXkAs6n0gE5iDinXx/B6j0x4rcfvL76iBkFG54v1mK7oTaQxkd7Y1qRPoglERqWbJayd60F3XkaPqx

bDwj8SBN877E+TabELvhLZSbO5MBmPLxvbLRhk32A/mzbhFzPfLqr+897DY

+I3u7aB2cuS1sgYAiGIBYBD/L5D4isas

+fGCW2myb7uNtGrok8I69ydusupDuxEbNYXajQhrD/Y2DAWTlvx51bLd8QNynWKFc2TZkTwLAjdWhm27/lKurPgXNTR

d1N7EqE+FODF4STi37uHPl

+vzchubOrzDLPr15gShctgcfFtqYzxxCXcKq86LIzUe1+c3p28v17+LIsJc3ZqOTMbqocLurQbMtHWqTBxfmpBJ4pg4

ryh5veO9CEQ8GUbY0dLd3tzr1hLKt

+moOqVM2FEGLBjQzaeLreZ86NtRdVast5uvSXTw9cE7rRGXqTUXDEfIGa69dSd0j40pKgeVmuu3Fm+j7wJZcuq

+RCcD6A5TmuzWRKADl5bbocLoLip5oneG2qIaG6iQ6l/qZA/k4wTcQahWEI2D1AQvwPgzNN0omY6kimA4/z7doHubFg

XOMGPZKHbKN1SrgVaTXR26b/Iu4Q8mRuvUYmYn60REcigZYOTW7xswAGCqh5Ih/XbC8OY4gQ8fgqwAHoCI7iwkcTp0F

gd/

+4/CZarJhhhtjAUUersxlBcmrynn0s71gjd/Gum41Ff9TW9wWLCVS0a6sO64QHcpKvtpy1bPnbKeRM6kREPeLboHjro

VOj1b0advxJJz4egASFhPKLirXCF/DUwudIz64NkUfSHsz74UxP1p2QYDf2Mf5pgFvzV1K5Gdol6JAByVfZrfS5Qt9Q

M0aJ2BVjadeEKLONUQ9Vnm5GjyzIfXmqUdIHZ7CoDjHNAGLMTSq8oKaq/dbGjYZxZbQF6SBR05IapK5CmOe

+ir82u8qiA+Ctwk7lcsczNeuzSt2j9aToBf9zll7K+UNQ

+Vv5U1chg6tF7fkCdPhPUcC0LNgrb33FeXDM/wRYhUZIAC221WWADpAcLxKdhTyGpeM91Td1Lor/4i3fpwZJHE

+dous3I1SSalZpwM8mYMSzeNpeB/COSpsPltruWIGUpV2sMMdoYUScE5EPyO80JPRi5qzFwU1eSY0O1wqJJdJadMRs2

JUCwlO9pzCwB8CoUvSfMLE3jiYocziKu5d6VB3AwivXzpurKYwxAW3US8K7xtHex3NgWjwmuCrOyKnIrhPo5Yq5NnNM

bIYUL88s3bZoIqK2U8ftcJnC35ETTPIJfAamH8Y/R0BoZhnmB6DXgR3/MNfPUaA9+XIJEZ25bxFjQwgrp8Jyz/2qxqc

2Dyz8WesG6SZswFyUacmnsn3UrapV/Q2ynBcbVbLHymh7iGHUIUTu/QLRmU89aJRm1WNTWVqHE6+yRYFEu19KBn7Aer

YG2MW6Zv7XtmC29wWnoek90nU88Ah

+r4jer2gwEslGCb/lZSo56K4KshV8rGVA1JQFKFcM2vMtXDghn/TjdIHAgyshFPYwYjRG1O1gkWAM3sOPSbYTB+V

+1020oaXt24nG4Zquw2IpulXcfmc

+jUsXplMP2celLMw3vjSrXid8tbqGJKadzyzyW7YZ1XlriWDFAfUcSgvoxoViHGVFZMMHll/i7Ms3yr4gWFGyrkQfHw

aeVYp1gvWu

+1t9U54hBct7mzcO2Nh9gpfNVi4ytq9M6UG1qQBVDUbdO7umrnduUTSc/30nT7d7H02pD7JOgaETdBVNa/PQ0ZK9oU5

WwB79iMtX8Mu2v2I5sRWfv1VRu91PW9XoTcI+byOpZCkuqqOnAeBH53JAXcPHhPmc13eKBnB

+vpeOTCmKdU7TdCFtjyRrVY9T0fgqu4vWGXqVYz8yW/zs2FU0XsZZz1+HP2K76ax3Yq4AQsFvLT9sXCWuzVf0JVaLpA

9UAptCapbcg+WrttUu+sf1YY9bpT

+tDJ75bD9MHnWRSik4RUjAiGy6BnnISxj3ZFt20iatYB73ayHU1SLEbI5eOqQBSZQO0Nwncnp72aLGA6mhg3JHaMEZ7

8sFrrFuuNnrsbtdqdMjD8HkoKPMoxaD0sO/4dGb7Z6IE6gPooKzcW4h7kOafig0eUtVx5+K2kV6AA/

+2+SJg9cyggkhMcvgOw4alTuIZ7iK0Tr8/iYU4t9gapHsQbtxPkvmaaBhFpcNde69RJmmRfseIaKRV7UWyxvejERIJa

8hmdRWOd1GBVEVaTvG59/Jl/o4zTf+d4Ms2T1Ra+h4Tx3i

+J08Q1ievz7f4BbRjwC0czQy/tX2JV2KCYOsaaS0PNI1YqTkXquw8NSgHUQtS52nXDcKbFdM/Ec7K3OelLkwyRuILDC

Ks2MXQoVrrj1glUmyNGUrh71wj/JBaONmpdj0vK1/37enWjivzssZI8E4rVtvk4WHu3MrqGnCo43RHeMZWzTLrV9Dd5

acinYWLjDQrzJO4l1RQxpq1C/Ez

+RNmFTjtAxfuihS7EDsxExazg2yrmqp2mCsmOv8t6BVoupUOdrhOdQ5F0zHln08hUwytLXTiIjhRhrqbPBZliVngL08

f+jKsZiNc+QCgptYWHVKIV5spkf1bX

+8TK9H513dW9cOsXpqh8EoMQfhNzya6MoJPL0Vv5kWqySU7nVemGA4QNiNarDXImnx7IiXMhEkkCnlUE2G9knp6l/RA

Zy1prkdF6X3b6kYKtmGy9R8tWejLSKTl7gsNOJpBEI3JLncJDuZSYzvPnMTKcUW32jZot6XwkUKOpNpTSgkhqQFuj8h

O+rsI0kI1U

+bf3mYIIPunZunEImvnPvXdgEy04197BUON3mXQpKiIaoxJONsTVPpwzBfPDhOSRRfizzNKzCRWun8wdDsivmvM6HmZ

hg/rKkLGRiji2Pqk19zggw24LMTpigijBcq79a9CnPDA20LqdA50uwsZfnMb05rwqnzUFQu1EUXCZUAIqLrUpt8s/Iq

eWDao

+k0NoHp68Sxq4QcetS94zPbaOaqvFjW/STgeTrTcU0ZJIC4BBfUexMfMvEp5wu8gvnMS9vHFlEjf8GhAFp51nnUomhw

w9rH

+E2C56H5LPQ7vZgxkZt93/Q1uXMOqxCaEr5UHXLCt9/ehxAd9fDXbJjto3QxTwY3PAUdv3sCOT8+35y3+a4QKstDJXv

ooPkjdfKwHj9gaX/MkzBg3SdAYojaqMUIVnbEI3qaarDWNft6oPZvv10dPGjsGj4/pAkg2h3CinwpB

+3YEbK1r4Qm5SjqfzNpTgLAVI622pgGkJ6vElUSSyxEqtd9dn8M7/UCY7bBa2wFQW1XcXoGnHHwV3KeFpuhkxfzIGZS

OxlPqTYKsj4I51JpE/cn84WyXko7VHA2V/UmCdDDGDzA2SB3jATQG/plJ2LXhQxQF6qCVB16bExvaa1ohHNNuc

+TsOVZNqR9foNAP70OFQhN9vIHhcWrEby2PCicY7NKjSM3Z1v7+RSpCXnfxhoSSEQCjHRwN/u6+7Cr6aLxKvKOjZPt8

uE5xmgqIjDgv5U7qK4SkdzWzvXbcalk/RWainch2Zx4sn6fOAvpS5KOS6eQsOV7d9L7Al4mtO4zgdbOURzIkh4GHKQp

1mZpAF5WFiDn/I4PsuX9e5BgG11y5W/rfVEY7oCPQpEmoqa45Jt

+6HP9hePFLAkIFrt8SeZSTb2L74rOeKRa0oeLEgX0xrDjCki7DggEDTs3l41vUirHS2Ikf93d6gIVIp1izys99vlZHC

poc5499j5PYFGlO7ABBdb9ICAX6+Ik5uEVfg84ZeYQFkCMSejiAh0ptrnL8jDuoIIwpbunzMbuCZaIURdOqUMXbb26C

Cr+3v1SewW

+YJuJ01VBTkhyWhjw6pwHHzYm7cWBSc8lhbWwAoazGrRi0TnBLzikj9Vwtoljkj7WCv7jm9qu81G4UOyLXei4dmpVP

+uekGyCyq+U+p/CI4aiOvYY90B4pCqDlEMu1dL0w5cWE338rO2wgJ4tCcOVj1qALbDW92Lsuo

+hSUj2Gqj7+sMREuLQwASkRVRqfisiSPc2xD9b9epWT7E2DQXFpoZs605QjBy5AXt3HJ7vg/T51Q5ApbQgvZsCrfpJk

svOzjh/9yyhON6zzuRhrlgDt5SwbLiyKHOZv

+bMUnScgnbQnspyXuIn3Fs5afnmVEya77mXwFTC8mjL2K1PItzMtJT1RDsQdgcdDZWLTY/P9b62MmQmv4/II5idXNzi

oQjGD34Yvr6dC2SeX3uecu1JLfIq7QBMUJU+pDm+o/jvM/dRu0En/mfLt57iBVx1iSh5ShLkQw7rkFNyCfOoRlF6H

+1x5MeXm6EZSTN4Ovrqk4EcxeoZthBJ4GTiZpHyGhWj5CXFwoyw/R0h/x2BQp58W

+icmWsZ34eR7eEIfC9OXmRBXdCqmRevLOqUlPSKvZQZ2eK4+DBr3zNcWTll2/tevtH83TYPsCpnf81P5dH4e8Rh6tXG

d/7eu8C3/EHtA3o3PcWURphp4tv8sbcu/vYk/NwdIscg0W/MIgSwoz2mNxgtmfWn5Z/xuW0Mir4wJEITyn8cakooAvu

TKEK72yH4y0z6Au84iug/QkGdriPJntFzV0kIyJ/0sXVIubXbwBF09ff84plQrfhIf67p0qfcDUv3P2yl6rhnCzGBOb

aqV/Na0U11fL6QAaWTQS9TE9T6epng3PDGVqGWjOf0MEOiT8Ofn

+5tNa2PI7uEJ9OzdW2Jq6VJME71mWj58BExcEMgzBcRpdEbV8Y8W6bL3gJGs

+TpJMHK6kri6qfXb0c3mBcubrRSYG9lzl

+rsTO6nwJhMiwjJVqnbumhRt3m5oYJCL8Y9R7CwtT03KBhbo/gfDqTlyuzqBui

+SfB2FCTDVQTAmjHlLzS/uolUayBVFmiUbI4NXfw3n6WKnxjE5e9JDgum3LM6InZwX796qVLoL5+LHk4LwrHI9ZBpRo

NqOzRbEOMJykK2TLAC7LXdzcV7Bp8k5gC4+sR4Czf5DOyC9UQckUMVkyC/fGZ0Er2G/R

+uN8EphCTHTXyWVxQQezHmr

+znw9xyPxU5pCywA1NMS9jj3fHNznaCkCWGW8RPvHYYNp387HSPgnZis17KvWARFrjgUeR2gK8jpS3FwhY4RqFKBgFa

Ndx0u2md7fKmmGhMkKzuwf8gmIJo7q9ecaLCFL5z0iinmMcy4geqfvbzSVypKKAg1bNn29/MBhEyFAtWWPFV9GMctSZ

cpfJ2/+0jWi0obwMko9M9ZQK50QU8no0zHB9PAo8U6i4qPY8W1OuQcCTc+RX8riB8UMvJX+lmK+2gNJVqNnYlaAa

+h4Lm5JQ0orh4NFbiFwHZtDavEXSsERazmyLaZXxrErodqocZSxRkKcl+dXS2W3F8NnH73i2n

+NwQADRGVECN1gRWgH

+Yetjdm/DGrE8LdK3YAaKICyIZG2SVftk5+nn43a7J6do/jvQ7UfW2UqBdNDhLYZo27a4RdWnpY7M1egm5TmvEpsadI

zcboVtJ4vxRNGBLgvvtjgZLj7gSs6v++kalifglLB+6x0GfRoAzz/eIT8hbX3MDf38FNCOGGHwt/z7ePxZYor

+aHRpgDRLpDvge1Ds1lqnZUf0VT

+WESRd5JJoYK5TK/SWwhG4KLrCXoa3P/xDgd2ku6htZEKLP5PiilFtg5VVDFQNYPpVf7XCj9QWNrapj58GTnJ0GD9Qh

9fY6QxXY6ThPF/0bpCpQfaV2C435lL6ywfab6GV09wsoYGkGIHwxTg

+39MDhlq6Fpr3tgvrKM1+LqaISqHgm9xBrFMrkchNWwe2jO2ou1FcaLXH4eERHhBdES2AVhU0gun92YatcAe8HUp9s9

gm/yBwiXyjcCB3vqM2mUkuaKX8ppV12d9nynGPIEw

+HH621zJ0hWhRkmNuuuFbaPO3+U94vTuIDs0CEnvRWZ0INnI/HGwLmil5wnlPFfVgWkw5IUtWgf7pkOw0i5duyeJ61I

+PJLcODstTe5sieMg1Dm4YwlTa9S2JB0034Zw9TG9/tAx+WAJko1/etmKRxYiMPgziDjUIfSu

+rdUMkOSjzndTYxD2hl7HbaHnzp/PTNniXbDO2hBLDGNY2siGgGQejUmjwpObLkUAY2FabGP/w79xtqTxw5ct5DuuUy

5Ah/bNye/xYNyhdywapqEEmfGiX82V0ATJm4YFC9ziNmM7K1E6yS84WFGYWHTIYX

+BrlStr/n4+43ryUTLBZFeOEVlsSWkNY0Tax4hV407pCG7CF4PulfJCRNk9iVeDK

+uqUev7XydRNKRzfWXtWDRZJL84P2/XqZDKxwiQlxM5uFrNSHIWlAu6V3gNQk5moVvf4daVUayv70bT9M6E6LBVrLeF

80+XECYKE4eCjspCrVC6+/t1jymofStn/IA3fATlHWPJDZFnVVuNM/NkVKP0jWad7XZARsp7u85FraEl1Vo5/H3LJPr

Npx0+X9DLlqUxtJ6iTPESKj9wNdNuQU8sJ+QUgDl0q0/YQ1hM78NDQEW56H

+eCp15/deceBFgKzAXOMBCARvTuNg4b6M6do7Zl7ADVRPJyK/dA8lQbIdUyTGBW2DbWqi52S/U3BjJv6zWmHp8faq9j

JCaQkPBhZ9bJAgHa8NDCnBBa19sstazCIf6fDjIoJSe5/z4k8rBPhtOXfdudlgoBO9erWPZK1adLy7HmB7yyfdNpcL0

JwCHnwgELtNajL/ZFpQtzU3LolaS3KriyO4Ky3cWeZpVLo8rMWWaSymdDvnCeQCfISIEobFoRFzjgOBlvb61npdxvql

QUBl6IgPz5N29lW4rnx1rg2VN3HmHOnDfVtxczFqoHZBc0NIbgW3hixTLRlxOHr

+jw40NNntDOpGrtahZMB0jEVwjvU4vz970RoLXRXlTFCX/zotgIFJRntcQVNjWy3jnMd7s5brttUkc3gi3l74PrYxVF

kpjrlgcYTYPxxu5dZKqOzbsfa68xqmkcg1r

+1dIkcjWv/f7Gb5dM7wzGvL8tjYeSR6jq4KSd2znetzC5IFL5bo7QvIwTIuWM4VDWxAwwTjkP41oZtezXsW

+fq/ehKl057aIcPA6wR/LkqzKW4bcwg8HCGQyblxyU+eCe6xAL6H0++DYynvAhTlkhYz7+4uvf

+50Nly72ihpk64mMqCxjuTlgyxHnov91c

+AUlmQoH4jGeYJ7aXxLuebEml187AtHw0Yp/OCqtEITZDAzve1gDRCw5Goom7bu9DXWrq15PRWJfpv7v271Dzio7pTc

tT6b7z0KrpdgEpqq6ckP4Gb0MPmfCX+7YdOso04gko1TO6AiVkPsa

+jjrAx7CiCi9nuVc/1tE8CqWSioZPO7D3FmP4RPvwUH9VCqRdYqostFNzq2Vv8R5glve7vDCxyHxe6Xruk7XmVA8UXW

GmJWo5tfA7qpCTHKR3wxvTg1HDaAKDcFJxsK/nK8v8tSulZ5WpgvbsuScEn/bVJqTGI1gijswtKBweoJVIhvi

+rJRNjJAIXZdiAMkp6Uhjosi2L2kUB95Gj/E/1OylPTbKVE04o6b6L9CsinwbciEzGrdG8O8IVmv0guRt3q0X0J89gp

lAVlsn7QvjlL2CRolficC/rFORrsKdZ66+Iz3xC32MifaZw5RocSqJBoXht6e9AMTgEtEL0Uoe5PQrJVTkzwSGD8smM

0O5Z8LBaU7JAefzuZJnNyGPB9CRmLOdvZaQr1rVntYvKPuTJ8Ij417VFvLCSGb5rPsD1ekJEKzozu/JiHc4HBce62AR

Fy1cDIypMepcB9iyifNh+SVUmHxYuDgt6CP25RYiJYFzprf9zJi2iwxH2T9ZMkB5o

+LGjUpIpcE8UxhWpUWWKVwm7mjdUPXpIPFXaRa/r+MtIULir56db2RSD34G+WG9xOUAjjdr7JVSC

+FlV7Q732PWB5UffFaSRguEWPgP78dPgDi6uv1PBNpAVJDq1qyG9ObAj03FELm7CrpxmN3T56+8FdKMtJC+I+VR5E

+a0eAS/ILxLOPA/luCb8nPDjVGACpdxDC3qLpUrJwMTxYXhQ06MdZA5fL5RrWLS1e3R2CrykQJH7Fy9Tv6LKWoEIfct

LgLa5/lm2Qv9sUtDHf1DPqgNAvSbpyUcrVMvwQd4Zsv6+CRHCWto79SgP4H+HdDE/aP

+KB3PdJJf24mjGOwPU6cHrxyeV+kQxKKduI4kMcz7w0682ool0ayQeFujeczsj+wACg/MYp/SnksCI6KC+AGp

+QYeMpnlV0g0MJWnODJ6aWBoAyddpAcd6IQJpQQN8dMTbC6AT0nTCLcXApXufQcbrdZ0d4wYW09j8OBrfRghC6qfRwF

NAPj/7OObj8JdNpkblRjGbJLsEShdFVr3gN076RcM

+7AAZP6b6gSIOcFMP/vpprzCyHCi5hTlwcnAGyc/BRftSP070Mibq79eKnIXQuD5Y34Res5WNMi2mXdAefYCAFa9TYO

s5cO7Ke5JHc/WJQDeF4jbTppnrq/DpeKFQyjQIJySLNn/Drl/rrZPw1BvQ9kPGM6CwC8F/Dm5VVJ4O9O1i+B

+SIIPNH55BkWsh/vvcnG1T2Hmuym6S8hGzeE/wB0ONoc7ULv7EIBwbsoxn4R6CWekC04jzOwtd5YigvIQwOmqb8Hev2

F/DddTPMinMQBVluqD0gYN8q9TgRpEzyUtSg04HI3b9pvqysPM5yFBUls6U9th59BkB6YEXX2qLFOpq6Ag9a4bO7Wly

S1XkXqbbHEYiHLro0yy1mmYnkIdWd7fcZSfjSi8Z4meSeJRzDrO4EnBJOdCxIJ0oCTM9PPCSUN9cGsn9lmGqgQGQ9vB

Uo23SL1VFDkdaRgbYL3aN0hyPVLBbv2PCrwXempong/OvDwVtzi6BnrCLz+UU7kRoicr

+o5rtdPijX6ACwwULPlgd6zz39IgGrnWJ6euivMh0umF77Vx3TfEUhWFZSUtPDy09J8lYprFdECNP7eu

+1iCivyEmVXnipwna43xB3h8OmZtkuijnfiDxQiahP6Eltmc3C4qzakOJHTlyUjSnsguzGIM87PSBY+z

+htQHjkJMjEHzoe2g4g21Qs16YCO8ZNBQ3z1tCkxaiGiLJKaZbZaGHJJiTMlG5gAxlKPq2OCk/jBXqlEanFV5vRXIS0

cPRwCZVwqiTKCyR14eMR50Cc8qQ01a7E1Spq3aJmFB+CYSkglQVEEWgm5ylmIJJjuH2t7km1JY

+CQ7oBfDOobVlDZtiaCQ2Iw/EpH8qLyku0XUAfNgQ4uHXe7eZZTGiT7xtMRTWRbHMIA

+IfTqAov66EHp21CRDQ7/CQcGgXuN6UcQRjyQ/N1zNbV

+pYrXACMyQfvwq4DXakzfRPeZX0Lh9XI28dmtc13cPnZ39/0HNLUc0rqLSzfZfGu6e7oJIKYEMYCnEVoeseLubqrMfx

Tz

+ODUtcEAFQBuKW4bzz3ipfxalIfmKIpIoWesGjfnsFWbNJ7sZGrC9y5E0qfqsvVJZZQuNqRIEQ5gOC6fqKDf00BqRvC

dRMZ5qENWGYd

+tDJSMhF4jfwwBVBYBaefoDg511d3TFki61hR9LK1yACwN1yYFdiQRa47rWee06QBLGDA2+EjoUYfQGpQE4s4QHiUSV

dElPeEHTuabTxQ3am1r0iQ9UJjQAbomkRY/cgLo/ulIZ73PZ3RSzRDkqCbs7RPo7MncLNtlUJGyKvHHeJHCrYm106mJ

Ycee3Y2ADQcdtJenFg4OoR+K3tIoJtIUIZK824EjnY2rkiNSlKXQxpNGDqlsrxu5T1Y7cbwqvvGDUsg

+tSBVOWGvsbrcuWjfnim/zualiKcXbb8rn21Rd6F0vqDj4lIilsBxHn8WHgUtUTsxGrzwEyzIqJkST7sC7fK5fB2gvw

KtX0kL7SBDCXnryakFYk40tpeCQWuzCSDF9jiRBVkjyNG4kr/rZmS2/BovvVVWVa3QUYs8g4PI8NWbF4XWFPx/inCt

+myTF4nWSFB6BWczEfkIlwkaxPrVxqhKsrvTx9OlNqG8Ba1/f3umwOJp/3tyXat4JQ7MHI7rNxF8A3aReadry9vMBhJ

oqs9548zGqIsOWJ5iJLwjaWt0VFAnham83p++br9nf1xybyJQlT6J/xmDvTnXHFMLg/gf1YNJnLteUwSM

+ed9ACu460VSA/G2TtVwCN48VsS6dLmVT8aSh8YOBqW8mVi/Qdn/ph0T77XB5v9haGpu4SZkNAr4PxXDU5phlnlrWaA

8sV2fWvXQMhs4yaD3eK0kbXtRytRCiig23807SR8NYIplFDUQw4DOQ

+Z8+7m0cwWubNyBhvmcCtCmqneTOxijFVYD2XAHcjfWuZNfi5fVGarEytDbjjaD7trPax5g+5+eoQc1kj4JXEq

+KcXpXIlWOqptdOFG

+CnkuxB22hVIP9mfjyjDJbgpMjuBiGWr0aEx7ERJDoWnbmqsKnlcSH4d0PHwotP4A2Dbp8pQf2Aap0R7Z

+/bSDa2cCzkHHm243hPs1QKyZ/luFpv7MjcBQOPFU4okK2DXsgwdH/2XHxJyPqkRNYORQIG2fYPT0OsFmxx6B

+ZakfPsrMte2SvztmwmRGtuSif3vCrBjb9OJGFLGrIOBGEeA0CfmfhK2rY3i0eJwF1tnWhPH9MB1VLeIW9u7Ds42IbP

ITC9+sXjd0p941mfpVrNcrzUNWTOlPSnIzLVyGS636iU1j8KnTZVd3DDTKuIV7s5ZjI98czeR/vWiqBOL7V7NG0+kZK

EfpqdDoeYBDFj9s385vVUWFD

+DYQhAHChEvI8Jpvhuant3em1oYTV7LXHjq4eoaBf8Gi5ixdvoc1fz3/LdbNYkw/8Y3tpZsQ2Jatz7Y

+T07qWviNzHXvrZ31JK8O8MW132JgSaeeoPgO/LhQJ7+OIxHIsGWpAzLYIEL7v7SAZltXPxiG3IN1zYUJaJI0MkSrq5

cTFIV6fx/2dSPZC7SP/2RjUy5akAQ+b8F0/gOVjmpis1tTqSmKIIpQHOsDf70x0hENkXrrndaaPLnSH4sTve6EOSL

+MDuqVdQjveWIZXcYI1MkVJ0Axg16qfRr8DdCFZF6N46pwMSiVMzFjWcR/0KKHs1aY5/nh3DZ1JGPa9jgI4HzJkPRsm

By2xsy3xBo66+g9rBFeUr4FS43aHhIMDUc0M7u/7agshSg1PYgzS6EkhSpvLrET1kTSF/YTH1G2yNXxuxSnAG1hfx

+OFHzXdd9Oviz7E8akp3+z

+ldROUNVFpk8AQmJdDRmUJO664VEnvDv5zrg09AZB86XfYRvrECtWxAvrShiXaiZ88ONKZSRNFs/QZZ4kgwj90uSuxX

apBn0Q0wZpVNfurQ16K8Ru7Wa/95lhZK1kQATHnDIg7KZgQHsPKojBvQDDYbOlC4BHvT99CYd43p4F7LiuuYNX

+omenDTO6LHwudW4hOiHg4NTY87/9D+ryW5R4uta1AeWw4iwTmJ69x4PBhIHr8cFnLTKVlyL2XVbP

+o45IT9N2oZVQ2Ng8oQVpV0UkBmbkuv1ORXZLVOpxHjx3ysD5msKIi2FykCBdL8QhB0Bobjgc3yGsY3tilVDRAqOKgJ

ZQHWMsvhAD9woUMU9Swsa0vBO9hfZXeHBKXklfHFdXscgn+Hg3wlCII2wjNziiXPFB0GRrvLB0SyIASqoBLM2Kgs+

+/zHfUmaxqlf23YYgHQ6DYqqT/jfNzF3C1zOsnj5wTXkSFLfpo/b3qB5lFBYk+ILs

+CyCwu5c//zahkf/idb6sBjt4hF3lmPb/KBxL3QVre3NqG5XAQOnbpIPjgyBdOjyXQ+wqSfnRffFC7pY37DhwZojtz

+j99CL514dznyf+gNcY9p+KX24a

+Cv2WDJf/w3saAphOxq6bjU2vI6sLtWL/69trCN701rHmw9dwJXe/ZCA79bBt7MLxKsA1MexYNliw6E

+7+GGBjD9nLnuIaYOSWCAcn8UY7WyEeQEXzb7Re9dp9/fQOOS31BeODuHno

+w53qDUiKUVkUT6gcIt5b82UoNHBTHXzR9il0Y

+mtoDVtjwICUfi11xt0CnP3rXDF3A6o4ANWKiFesUsNKNG3miONHAvuvsoZgZw9HzDNUiqKjfvlSGF4cuk

+Of0dO6maFyNudy+8zG8ElV8N

+aHtz3E5pxI/da4NhbEDxU6wiSqoHxrYAQ9GzKA59vPv3+xz/N8QSLtrEdVqWrRdZa67rNsvIuL4Kcq028BZIuCrI

+DRJB5ruBcWYSFMBjSfLSHw9mi/NKFyVLvWaIGcAcb4RoZAPH+OocMQqpPKw/q2R9CBC54cBJNPAQyYH

+QyZXhVg4RPclliuOJoJdGp7kLC8pTY2zDw5NLaF9jz50Oa/9ty4kvNxqvhM047HO2L5Vuc8Px6YWPXLwekPWfyUtDB

ymJRydireQ3QhI8dz7cEMj2c8Iv1uJqDDOhBhpRiXmWao4Fo13QhJZkdcDVT1YJUBlC9rgRoRq1NylnRC1sbsH3Sn/k

vKRGiXgheeEQXnoCcvSjYh2a3DoljCBTsEzOac97tUmkZVDx7XgGz6HeGZkwub

+xfMHCvojLPXuMejf5szsR8aejSdyn9AiCH4S4aJCtylUVtxxUV0ief8KukPLUm1vQM4lu5XDwN7hVv/9Z1lxwT

+Ku5pauCfICoaWeEcL5AMTv/shf/etHRGFEBRLFQmA3cQHpuj62EZhAJLtjjmGfzcUXWQLHYHHKbktgH0El10nvSt8i

BRCO+5DIjw1agoiuW0ZYg0g8EWmhp3c/FzH0TOMVFBUyWrzZGrmBg9Ezlc

+8AgNuW/IjFPUBtZauAGfRw8FpkEYlFax6BRJZB9WjDjSZIWSD8+vE4ro2HtIuDtWU5VUdHIuL1ZMGwfnIP72sVu5QY

nmib0PkX1Q3Sd+6qG1hc7alKRA5Chl/bKiaMWEFj1rv/P0ZubnyxpvBM3SyDT5tTAQ6xATnYr1zC9s2W

+dr2hetDgOZ6GECyf8x71c1yBiqE+BxLIXYKvHfHV22Z

+fYp6pHMoxlpC5FDq18smw4l2l7uIxbMjfQkQicMYDloAoItd6HPhgeO/muYF5IQgcHM9xNiMRmIqcPBdluim

+3qLV/kEzrI81hH2u2UT9VA4DUBna9oLbif1XWpjqi2ehFN14GlacjZc7xGxSd1ymGAVWRyu64NaRYh5TRRtBsUTT7O

kLZxOf0wc4Vh7mOrgJFkBxvngNCH4hrCHwbpyx9BgtR9OvwypCm1obEajBV8VWeeTo1S0Zaussxz7FN

+Eh8Yh5BDou0x9j

+QEFx53c0V2l10Qf1+EIbpqvDebSfqVSBM2A7LI4df9eGVXNe6tpfPaEZyght8lq0y9bBb65Ou5+eWpoDskFHucm8k6

+oCCfXE0H2fjU6zPO/c0Z3fXWZ3rYO0In9o9wThQq5Eo+JiGVoRNBkcEEOcQo2NFuGn9ccUuHt

+8s/4MQCS64Fii4YxKViuzfq9y/DtyKUc2O8e5p2IwizJJ8Hx6jyOAMphJo7cEqenqF0pZnM9uHJDzc9TmIJkSe3asY

y4zTgVwaN7BQ57IJYnKsWTfRJRD/iOMwTJ4aHHAuLbpPpw//h3KIYmZFS9eZhNc5f564X7Q64t3RBDGjbth7lO4wLAo

9cY80PSgcvnxPVNMiJaNwbDMsZ3D+gHeFSwCzB7veM9UU/B03rOAQXJhLUCsMkTsJWZAE/

+YNUO1yA/4osTB7U3p2sxsys6h+D6k+y2D6XgzXb8a0mLF+5RIPueUH3BXJwWI7+xf4IGZMNAAUa5DOZcz

+EBP/VSN6JrPfSLi32a1Yn80CZAtdeuwVgpIucZ8UgGNZBIR1LwiEkdGCewEB4TpahPu8DRh

+MGMXuriNuAKqP/dBiA4bcjdePQ50hQK47LXYsXm6WQWVFZ2NolrvYXio1zb2OWrFQNi3viQvFTl3ocLhVes/r8wmJi

D8rTs8SXa4RrOHF6LDf+1q/hCKzHsiU0kFx0OAs0qRC2/W3NurdYP7OF4UtYcYF

+4fUDOC/0NpV0to4fIg0zC4WQSWYsCC5c9+kqXKTPYC6oVouHwI6mTWZADivf40BXLNp3N5vTvl0k3bhH/bcxZ2ZVgt

X6ezk2x9nmSc

+/n9cC1aUg4PnjK0EHxbBwXXnmUkJQ2WggwtfZ7Xh0clVJcMef/Jhv7waWB5OKUIgYlBilow/8It59dy6fOT54nFE18

FomOSt8U078phcm4frz6xjmMWU6V5vW3HwRVCOABPjkiyV6gWEXgkLfh6zgo6Pydsa5pwJFjQq/7KF27yI4jRcEanfJ

euJwIeaD4nJa6ndMc9EOUE/OvQAuIWXf8XmFKXaBxTmhI

+POneisBCRRG5xl9MUjBjZtN8ApAYITlXT03Nr1oYZMGhqm0TqJabU4PvjEsl9Jf9MymbK7W4HA06w7Fk

+ItUoFdEAz3NFkOBxiN3sZOU7uLxm6JrfhGbgO+piMWFB+L

+ELLWXbb9OJPjKFcOYDrwuZO45ZS8vtLEbnsSQce2epfvcmogCvwMs5YFKI+sT//aaZ

+4ZCWT24vM53mVIftXGjOZXAC8ZioezO2bfHBrjO4S/3uF2RBHh1DiA5yjOhsCnRoy7b/xM5Zh3yj0EtQej/k3vXEhq

AAPZUOWZxYhGPOtHwL7If11B5hKLYOFfHPQ0qMR8snrx2dRZ3wCpYuFXvgszu+SuC

+MEAAepth2FU18uPQrBLPkbiuZOMV9WcR7KyKqgUEqPB

+mEExbJ4mZKYiOx3zPSkcYGwV1g2OMdgdojravjoLA0+64lrziJWnsi5nIJyRMhre

+GagffcCfPyJnMoonvi3sz0XfXoCkdomtB+20R5eZTkT4m5pNaZSnK

+9qCYybxAd15J7PGT3BgZZY0Tn5E1Jft7/0TvszBSyCe/A3QIMjypYlODSqOE431nEhV/HKi66uOlrzGuaekYpSlf0z

qb4PxSm/53v9CkZumoh+Ds

+DqCzw21Thsg0emEWUUqj2jr7Z9aqe/arqKDaxcWKPOlHVBqFWqzi06Gndm2Fc0Axhb3QVBJLeQjBiZqeHJpvoujL1p

ddVcF9ovIZ/AQl7hxdsHouXGLnG7Hi2eXpnwmbm5BQoeehB+1Va9vN9zgFq9TpTf6ciQpGKowd4fmfzCt6KK

+YkRsJD3FxYMYKibIZhUq1acnKWcXCFOzz4EoyUEcWskY0GR0KkbWD4w6ALcKR25JeYcyYsZhhFCpQ4JERyxaUrcJ5r

wTUfKQFNgG4d8y9P

+47emjUohKcMQnXkMXyIjNiO4OOSYbY1P38SK7CJ3Baypg3bXj9aYAt5QXLF5x0zbuxhJSS1RlufLvWnX4fEPOcp7jd

q9iX3Bg2/umjVsVAj+/gHglmet9IYbi820CIEQbU/ROhNJZvuMrCIMdrxBmQnmos5r

+hzgtdhlwDqpT/SWZbv9AOCVibGfKmfLDp2C7uG7jOB/RXLk63gyb09B7bTjG9oeHEbdLM

+6Q9HCVsMNiWrm1q1PnwgZyLG+Mx825cVng

+5wDvLFHmZwbbBndi4vMwc3KN75RQxfZY8FgMMbKmfkTAx3TRiP5d71szV6aDgMkX3jNw1ana8LaNXBBDNU5o6HSV6C

QoK8nkhjeDmLZ3B8XFv1L5rXfpBXYXz+br+I2FWgHd462zJScB6gntRKPT2jpccaoWe

+pLfFFXy0xeRARcsJxDeWfX7f8yyWXac5Tp6Gprn3wY4M678j3H6RGUys

+buZrUZRF4yfwoDgsOKEUtYoeotCYHNSSAI02Oqv3wQCDsi

+MyHhjrr14uWtvmAyZhcK8WH1AOGetLx8aOcxmJEQhmsGoLF6P3fuBaEacY4nHt5w/TdOcs05oxgoPCjONVsfTwNyyn

qsYaFlHT37Um1PWHEGj6DCRhybXDWPjod1ZqHti0HMHdM1YGktbhP7jiDKLpluiBDl/BpZMMEvHQqCi5xiip6M9B5WW

iGFAv69G0Rz7s8e2IOc4zow8AqqjXKTOMgDcdp1X4ia1M5BCNf2pqvBVPHpGwWkkB3BpiG9r3Dvl0l9gtKfxpnVA5nC

7wS0xiXFzRF9tbVWjDFIVmrTNoUpJ6X1NCDf9eIsTxNOqw8c3uhAS6lnzZoqbeaHcGvxmEy3Cw0bmnJCWq3x8s9AZUz

dsGIa3ve7/NyuNcPIkfLzOVwkT/Vg1R0Xpn3Masp/d4oytp

+i/7xVEU2f7lD9zs7AzeryxNpjouUsXhGvisZUAQsmjYdV8QbiL5f3uHLSw0VUgrcDW3RPsVF8vqZpHojU1mnAfxPSZ

tyP1B9vzuQL0BJW3UQQu5VgWNPAVbqpJN/8BVCV7PuULFXl7xvMdsCES2irkfpHptiDHnudhV4TixJR/rAymmxS9bNc

skJZDQ0/rauhdUFIDJLNef/gGwI1hfYLWmQjt4YFcc1QO6Z/5GUx1fiZwMVqpsYlX0cVj/YyACuEpmvM6QR11owj8vw

373E83gz4mNTBTEnwCo+ZTdt+KnOcdGeyt1O4yIrRxFWitgbclokpRQrlI/8FnLfaam9aJkZgv2QupzRAoUP0//C

+6Rd6+X/TVfF81bKC7E3uy62zuMwPx55x43x6HXBhgKfmsq+KFP84yPXVjEpmhkhSWZeHeZDZlOfF

+/3+932ngQwDS0/437xjUCabIbFMWY4zpTj9JWOpVaq9b64awKkBUeOuVYyA5/EovyA//x8uMilodPAIQJsivjhfa5B

6wSyYzPEaeHRCUhMfwUI48cGYmnpNJ1Ihnh0DbIp+Pe7mvYviMXK4DQ9larhWTYxDUVPy0XihDhDdNC02z1CKhM

+LDIpKtL6wBWxLbGMEzB/jTPmxNvfEHjSn7yRegLPxZ14om+znipV

+qaCQv60FGfX0gCDjgWOdglE48whA4BS/ZbtBPIYsWaBAEwuglQ6PfnZGLxNJ

+DfWmfMBd2OD/wSyYqBinBuZOytiSfF2Mc5KVWRdujKV7ajbmo71cWd2KeP9AnbRiopQDNevip9W939GBtdUtLAIEsl

hk1OmWce9cLL7rPf8koeNwv/gSaiJGd2TtKU+rnzelR6pQtJ+G3tP4PuUrM

+s9EnNJCmOisjwciavSJT0MVBpjuGUN6Vo1X0VkB7L0Q3cJHHKcVDWB8uHABitHPXYjXWVbDAYG799zftN7wNDnwBi7

ZK5zWjsRr5dXYx382qJtgD5OB2/K/2glNX/JN3xsCjM+8YBRLrwCxoIdI5I8ja2mHtVwKs6kT

+inVSQvcRSwuXfaKp8XFh8KhvRa0CTFS1GTg56b7pOM7xTC2yci/

+J/2vQMEEZJJCDkVrc45vosNsV6VLKYgscCrSZ/9jZ5/nfZ/WwvJeI8D7zZh7H+l2t3BU

+aSLfjTlg9JL/p8hUBdfQktcueKyyhAk+DO3LtPOutpMWDdifZbyodQXBgxIFXlU5vbWcE0rJDXHuMJON7tKhKw

+hamhZdt92xQ2GqTveZzTVRTmIkkc4QZ

+8/9It/P3rgF6zyoXWqa68/U0MDiEeHxcoAMffdAhWS4dZFZSocEXD1t9MyZRd6jvFHufNNBFDMFFnpNKipXT2h6SM8

g2phJrrsyCek7kTsKgen7c0GzvPbghxNvNuI6nwJ8cLNpXQtYUcFJn5is/

+5+Pr9lp3u35FV/ri8/Xif0FyOSa3Hp06/do6rA2pPwxkMDka/5CSccfUIXdAsOsu9B0IKxmxb6sgC778/ix/pxJHGw

nRcZR0oarWlg72fpgPedh4Na/IoaYwoeDiYj45biSOBx6MH6+Y0udDb3TmlHzFGgdfrOV6LgiwzmXtZ+

+0vV/eHHhskzyMKRMzDUj537Tmo0uuVAa/BUEcX24NOWNsC2a5ffKVlybsWsF2+GEpDxBkUqxVwqa1fDtUfzzjcE7Mn

QCw40hUfR/nJyuiqcX3cFIBm

+THxGmVlaZSlmPQi6YMd6C0IEt5QDiCTvxSPjFYFQgTpoSihdSfj9LVfpFs3KhlNRGT6evyxTaHCkn/tw2Ez9BEFfe6

R3J6IADWGU5/TmlRBsFpf8pkAPZnz2zQ/7tES27RErp9I7d7CPMvmO6gdpp7SI1EUvNY6Uc9zcTm/WJmhhoVN7yBaHs

g/J3MdCahfm8ERn4+Xftr/tPqInKJGVmS+B/uPINZ

+sI/5agWoZRqxYEsHOZHTNdOimnw0slux1yHqxfa46ahXSwhHFBfF/H

+69x7V2kbP0SQaOaW1Yf3r8PUXEz5Hh5fZTFTy6dZv0xSSNXwj4hH+8V4UR7KfMe36xwMASnK+VbKf7D

+O3eUTAYT1B8QDaWeYKNFUClbxm7REBUuZSMcvMlgSeihA9KroIAeI37bmSimUGPO6rdebql5r9CJTbFcxRvnXqma1z

fGSbwaemlUzMgioD1sTPKJhNHC3bY

+QYZycbveFQetDTGADgCdOVPptlYBm4q0Lj4SrxGAtIfS5AVoTkEe/O8rbqzFRBUL71RwSUt0Pen/iy1e3pagVY84tP

5ucy6isThl4VrqJAFeSatVbk+rXva5BjBNkTWmNbAY+nFC/n3wtfMnb8y4l7Dka4aO

+yx5hoH62HGybmcRI/DjbqrMN2ijK03OYO3ZlaBktyl6YxAa5TCflDABnWrKIQq39iz

+BaGHsWbhQo9jA4xgEqdF9UlJeF2DZ/srtNB3n9nTz5cgMgEyPGzjIcPq1oBXMQjzhujM3L/EK7VKnGzMD85xYu

+PNO1Qpd/sX5CtnNT70onMCVPa+aDC2Iox2m

+J1ELz3AGpMQmgsJnYPSAZbJ0nFGl7ddnqMGJ3NC0NTOlbsQt/iu/3nePSKN1XF69ERkTxL41FQcnnZlGT8czeB1Hih

LlKfWj0Vq8KeDGKO7i2+ZZGhKrvuooxDITDPIb1cAN2ylPVsqEN1BZXZkJ56/xWakI6NiMD6WZPzGsjFcNIHNPn5xgW

uAUSfan8Fo34qLsAOQaEOx8gcGnczoJdDRTTVOcnWKgi2yIJXQOT

+xoNO/Hj4A234fkFcBYD4nG/EPtkVcLBQ8TByB3R4YCuNaJxPsBGG19YPnTgnzyFdKHNVdGz5a0ZxSqre9AvXviPevb

87wxiPtNEisGPBbQLBlSVEfxDywItaLTapSNzqqhn6bX75vNyUPyN1e4SN66wqly6w/tyctr8YJQM7xAEWPQdAe30j7

JsdWBcsRmu0Jf2wq

+LPN0KelyGiYfE58rDTektTB8kCwToOIpPNThiWLpEu/VaGyavx/H9Idl4fBlnbHD0goNTNhQmpJVtmbDHA

+nFSqhtEAnezPcjrakCmRgsMtyGnEuSLPUxNX13WwR2i/Mr4T/USlFPiqhlolcBHuLtTQXEoMJawcdtg9hkEzmBDfq/

4RjcN6XhYN3TzJjtdtFmQ

+9nml83PVQRcBi0aHvg55+NFkWS5+HYtYMjttQw/aj8HEPexWyRoXvvBHcypgNsRBebHvb8x8e8D2uOBYyr

+9nLXxkTNyJgn3NCPp5TWLdTZlF+lXgBKuHFqXyfb5yFfvsH8pdV

+Nr2TVFKmjh19pqoR6XigIxic/btEfmXT9hrEXJPU3NnTp7HwGj9u2xSNOJB7tqLIc5S2qmMKoQdV3WJ9JnAG67flMX

dgSNgA/BOjxxweAZ5NCWo0JRpMWcq4/b5a3Z4Eg53f5UIqkLxrQXr8HO9kBMTn/7i8cjjt208aYAvTNRqLrrs79BWrW

AyFE7Pv6wZFjC

+l2EdjaBpFHFskcNEQcKA9kFPVs7PaABesCIpUG7Zhl0c0DiD/eeaIB1SRLt0a12a/R6IhEeGDoZzgNdWOHr9jy2VRs

yWSOv7+fE2odKjq1mBF

+i2Xtoxb9vBuGvDIl7D5/AU530w8N9OcqAiBTSAVD6eKSh5Eg5MpTX5PsCs1JaSt531TYsEo/yE4gNsm1CiCrAZ5DnN

BRmOuX/4ItfobNSqMJ1J

+CYwMcu/EexNwgbC4zOnkpiqh9LSk9wga2bGoFhsZ89ZZHb2/QwFt0ANp1UkOv8uFqWQX1tF3DEBJoTjiM8QcytLDIu

a6LGXpzNmuBwxxGYT8pqw9l2Vxz+n9n

+cBcmm1xSzUQDoAqWGa94Dfe6DrEHviQMUEPDNbbKVNd5c3YSZxrUlZz0iXlVj/J4R37G1WRHJuJ270Q7YR9I

+EYuxZO/g2OcCPhaCzroc4OaFw728FVl8kOnaDnyqgj28MlPUkM0fOWyvafJGQOLWh/PvwTI2M4MjUjpiY3nLAcCVo8

ligxYkG0R+S/TbPD5mtj/LQd5CJoodnLLZtllhhTvfpTj1DryWIIwbPUM3ctXWeOzp

+pIenYzkaWrgkATOzttwVQJF/SuVF6heOXNxmyZC27sNl38B4a20K+P/z

+OB8RRk2s/ZasiagsMtVegUP6n4lncflctRoKRI510OlDT0aHhlZ0Ym6Mea94do/

+y42/lVCkHdvkacDEkFsPcpyo/gRsi4YrFgmnh1VY5zPLkY997BEITnG3BA1vdfKpTE5+n+HKs

+X0GsYcutG9AIX7HZ7Q96oLjPv7+WnO+Ct7WnS/FTgVCwzI1IxUv0/O/QTYVT9IntxzjF+H9l

+uVc40B5vZqSAKwmgkv2+n8tZi5ciaYyijFpvw3Xz4ItX1n09SkgKZRvoHvrdfeS3kZd0FIQyBZ3REfvEYiTgpVp0dD

4F6p4q1TXseMBMLe2/D09UjfF8bqT/jQ2xlwVhj0z5iSUBZqjWF0YiDzQ54uv6FaqM9jxyJk+c

+AQudx3AGRo2isiBmdXmJAUj9C0NqGTI9Bqll4XIyNrk7r9uG4i2rzg6fAL

+EGbUBvp43z7+0nTr9h3Cp2gF7jhH36gCtDOsU

+Frjptt4UAGMt/yfvzZpFmRnddEO2QsS8AMHeGkNF1WOzFivEtslvwDWdFb

+K0mJsRynJ8ZMZsPl6EH5jXyRs/vn5Za/KfGlHedheGM6YArQz9C

+vv2KVHxeOpdEw7/3EYZIrf7/xlUY3TEvDVHZl43TNLgQwuLk2PTfYGYjA1qrmRyW8tFSmkpziVxXTZXiZ9hSpcEOPJ

AipFSiOWgc7drYJhujgiTZYbx0zfllW3m6I2hXDLk0txJdYQ4dRQ9LHvw5OpZ8/k/jvjvY0+uUvKlGwpSC/8POOIuvO

hXctAxM0IoqNCqMx95k79W7q7n1nBw6AC7UjJ/0MTPIJpH56TlxjL5Fxs/hxO

+i8lKyhLkexzalVxwHb9x0fUM9x1hsBLmXhZCSrJqeGRAYt9aS4UNnDzjsJYNP16o4x3yVsU9VoHlc22AfhdxdpEgxh

HKy1Y82jD9/dzIlK8jCff7Pp7KCkAFWH7aNQWm

+hwsse2fYJHdAA8RtSlQVPLrX1BdE3cnMr2ywE/rrr3GtsCHdGpzcO9DTuhWDc9/cjC9gvkSyXy2RsjEW6Yoo4YKnbj

eJJy//kI3tSrcGtQZHBnIzd6qKcEiYbFqgeb324mlQYp2sfIr3RqThWPZJmXQEwp3ueCrAcA/bZEwyqpmLTGLUQJxwd

60gHodXNMmwkp8CuLDQPb5yF94iSmSsd9Z/ewotU

+CYjDdR6durO1ZkI9qN4KpKSP1Gc9FhHbEXKTWwp4mgGDLnQeN/KxOI8oMRe14P0cC8N0heCR

+vWI2jinWl95eAgHZ9Ta5tKIXmRnBW+8VmkiHGPQa1N5EzISKypKgEDdWMr

+uErQKd8n1Hb/XOQvJE01PwrTyUDAWyw8MZlxemXMI4X4GjGE1+/VcqcVuKd4uh31iE43zCRGK/ChlwQPxpfUdBInBS

wi35do9ugg8o0uQTsmkCQ880ADAjWYJtdBhcqiackW5DQltuXE1fUlEBZoOlAKM7nF

+5WUQZSj29T2PPzA04unhWjez6Jo9a1yuZhxI7Up63hadtQl3pqlGfAgE/aCFnTfg0iPXoWKBjJG7q6yzFtG/jhdPP0

Q/avqLobzPBKBotnbdR68+tARJJCqMl7OWRkpk5xCTgfH4KQ/kpONEx7VQ6DGPftXBxpDnkP7IdQihVst

+SGU4UuQ6I4gKEfGpqsG5d0QLhcgxixkIfoxiP4gGbEiU10vhZGgp5IC1/oiRxdqAZW94DAQbrjAKRW/BskOSTK9UCD

IlcRSr0seNAoNL10cKpOLFZp8CVXQAWx90KYgKsUDBQWegMYTr0YJeDtGfuuFyTrx9GdrfEWYdic8n6hv541UwF

+rRcdnFIEXxRCG6ZoMcWnGY0vr3j41wYDailiJnRCic6OGpcP7e9s+9gSjblrDHxQ8jFq

+VJJlpUiWypDgYcaq8y5mHmuxhG3FrQTrQ71VmGPtGrK73X+86sthFCGGtJzld9gAk5h8kSTfoRsi5mgKwJmW0kjY

+vSYAWEdDdWheKhvI4BZhgp02gNkjAjss5oArVlRHBBPNICIE/Bo49E7w7OwMwwKX

+xzyLc6WHsl6d/XstMqnAtduSsUmjI98IIWwKLHVS7M0HW/SuPaNhqp2CBqopKmDVSIcutkPMGk5UY6bvaIztgFs8j1

+Sn

+7O4IkfJN5y21q4O8lIfr7gjIa2P6koVfAqjdhA0xktAKoJSvfrunUDEqueXS7Zzo35e7R79SNufVrJCZwfZvZq2aX2

/lfW1G4Ld

+LrZoqkF2aBmr5UmUY45zOLQy5m97HKH9PmICKQcDlA9E5n8acQbIl6KgZzUsQSv3o8GG5aNZJbfaGd28re/RP8DsVs

mXODzAsRlmCNF/AT6nKCS2CiplPRISwv7gcL7uOKabwOgFYlOytsAgMXHBFbjiYrOa38uzmt03+UUUyQ3cXCWLuBnxy

SahsQlQXU/yfd89ZyRWnIo0HXJLbbbakfqbuczDVoHxVUR+OFyipYJK

+TDW2UZs756BlFwLRQOKZgUexh6n/H94Xwnf5CbQMiu7Ni3tiZ0BsHvLAs1HXDjkPXniHMHrlV3hGjI9qDol/bqrOkr

KMSbzW98KfLy7r5FUTIUSeKy7Caf99xPb7Jti4Lc1+BKQdONBJQ/stL2u9c0yy0I5NHN7tKKQ9+4yw7UX9dAORw550a

QSqPZAkkLON4AaBY6hJG6apr9qSypZ

+gVwm3DIaPKW6MsWo4U1VuK7M3Sm7l3Eu1SL3pzFB/Q7fK4KI9WN2Z89+MtnilSZl6qhy1/pS6DAxBT//HfmEMl+tY

+YQamwk3NH1JD/tU4KEoo+EBJ7pe4a2OB0b12Cm5EQB1a8B0CIEvFmY3nIxoQBMb8W2itqMmJSinEJkxzA1so7zQc

+xEJ+12kTt6mIrSg03AbkcU3njb/isVAeE

+hAGGkSm8kScejm3+WVkh45gzg7uSD6gUyfoMjPFaSjxj7PHiQYskJajeY6QcCvrrQLjQll5wj1paSZIoKxIXm1cRIr

z2bIfrUZ

+rg7lxXh0Vz2k/H2yzXLjExNhvFBU9oKW5xWopbpUqNXeW///sZzCyAHtvpFmi23p3zViRtwf/M2rHW5Pd6dmFQgz92

JJMQ

+0O2jPZbalD9Bcwgj3FD0dnVnPT6Py/1XjRGPwcG0ic2EisIevRQYWQCv6vriuHCDixxaGVYKLK5khxKTu40W4Il2Gd

H/r1uM6g0EFkznSExSiXEWLfaSgHSODL4gUzG/fRgKeQfEZMWOEfzyTSBMRNwgI4y0j7YRukRPSCJnWYTR9fa

+NxFhB94mgKyJsxBquQVXiOyPTdK4HIAuoBma6d0O/rO7G2EQSTzSmrc+ccFCKZnMUThKPahReX7zzN7nlbuG0U

+vQDGF8Z3J2nVtvV0LhIlaDxFDVwl2sHfbKnMY6cOxSGqpZ

+PNhWrkClynOzO7HVQ8kKomBaZfsEhYO1ChyhzRxrZtUABGRFMjJ90AIncvBmP2WWhCRe+x

+txSDLRAMD4KfP28EieUD5gkn5IxExLI5mZqlFIjFizI2RPTqYo0PBtV

+BK3jSxnxb4pXncxuri0mGByUUVGPCXPnMEjKuJIjG/7gjQZ1djehRd59EUpwXhZM95uaujxJLqGuXZn3FuGgZdK3LJ

r/snRpSpONRmYNiT73XrU6nPKSFWOUcFt5Z9CjthtLPiQy08Im4LqVA1Gh2det91+dSeBfsgM2t0pD/CaKTfu7pCFht

2I5c5f2x5/nl71BQtAKIkZpT/94WoCMictX3rjehCCU4v

+3OQZfBeuYiG1aDbWddIC013hO90JzgHDj3IqTjsJ3oxc27ZlQYAOqOxtWA

+17/KZUAN5wRrayYCf1KhTezTPj0nbrI0HJS0uCYXM9GU

+tXydCbzk5+TRXVYpI/fAxeAOZDkb6qfFbwncsSFoMgNnad

+9eAo5wwiC1WXz/vo2MXUyzdQCNZtJGh7Ab2wT4tLG18/koUDpcgSInC5awabuATsaE2Chd2IJLAeChsZDJlnogEW8O

7aPYvD0EAZfjO/cmbmbTr81dc2obqiOGRf/G88IQDn/WDUPthceujI9HsNjEYTt1JRgEBexCPp

+TNUeh8woA0Z7ME0M7dAAt3923chVvlC0nmUgduyXsOcdT

+JgsS1Lrql6lWJiZdouUmaFGLbzDoxC52NCg65bd0KsqvNAh1c8K3wWe5ADo90szUOiz2+puNmK82x

+8WdGnoyi32R1eAq7laLN3ctaP2DZUzpyjrVjviWrQt1w8OIS9uJ0zdtogbWthYLgLW4qIb2VsYJLQ3eVZ2Z55BFSQN

CaVnow4JDa+N7w6K1qXtTjKQNXSjoTv4H6DvAP7oTHVGcYrbexfzhWhGxxDUA4/

+T2cz9y/Dpc8Ss1pB9wESPvLcKQtflbyPbYgK/Y

+ct/CwrkNhNJaVuQcb8lBBqxKx09iZbVoYZEpplP7Vparly3dzA1b5kJFslVQiYNxqmdP/DodChdG8cOIOjFAYQludU

c5AUpgVR2SCpJo5/MHA4+5+EXr96DgxPx7JOBxub5KoFJN8USYlBzSY9nQ/cQuTVH4mCqHptvl9j3g7lJbhScbPjKv/

na9msivG1PwL/jHsFYUXXR3yH4ShPDsKhxv7pmAVgUtijK+UnhYTvo0zl3Mm

+PGgiw1SvMOHzLD4oCcS5q8UsuIQ3Lvt9O/AM6czW8MVcEg')
with open('decode.txt', 'wb') as fc:
    fc.write(new_code)

  • Downvote 6

Share this post


Link to post

Short link
Share on other sites

Как перенесли файл настройки на сервер? Что бы при этом читались все строки конфига xml 

  • Downvote 4

Share this post


Link to post

Short link
Share on other sites

Подскажите, как подключить ctypes?

 

Кидаешь в папку с pyc-файлом ctypes.pyd и в своем скрипте пишешь

 

import _ctypes

Edited by StranikS_Scan
  • Upvote 1
  • Downvote 1

Share this post


Link to post

Short link
Share on other sites

Кидаешь в папку с pyc-файлом ctypes.pyd и в своем скрипте пишешь

*** Traceback (most recent call last):
***   File "C:\PjOrion\wottransmission.zip\wottransmission\transmitter.py", line 66, in orion_transfer_check
***     exec (sleep_buffer+str(code)) in sys.modules[__name__].__dict__
***   File "<string>", line 1, in <module>
***   File "scripts/common/Lib/ctypes/__init__.py", line 10, in <module>
*** ImportError: No module named _ctypes
Из чего можно сделать вывод, что папка с либами

scripts/common/Lib/

Share this post


Link to post

Short link
Share on other sites
*** Traceback (most recent call last):
***   File "C:\PjOrion\wottransmission.zip\wottransmission\transmitter.py", line 66, in orion_transfer_check
***     exec (sleep_buffer+str(code)) in sys.modules[__name__].__dict__
***   File "<string>", line 1, in <module>
***   File "scripts/common/Lib/ctypes/__init__.py", line 10, in <module>
*** ImportError: No module named _ctypes
Из чего можно сделать вывод, что папка с либами

scripts/common/Lib/

 

 

У тебя выше трасммитер - тут будет облом, т.к. клиент по умолчанию заблокирован от кушания всяких библиотек и dll через питон.

Edited by StranikS_Scan
  • Upvote 1
  • Downvote 1

Share this post


Link to post

Short link
Share on other sites

Это не клиент заблокирован, это ограничения ембеддед питона. Только те библиотеки, которые сразу интегрируешь, только они могут быть использованы. ситайпс не интегрировали.

Share this post


Link to post

Short link
Share on other sites

Так тогда не получится приконектить просто поместив библиотеку рядом со скриптом? А еще вопрос есть. Можно ли вызывать извне(из другой программы) функции, методы игрового скрипта?

  • Upvote 1
  • Downvote 1

Share this post


Link to post

Short link
Share on other sites

Как перенести xml  файл  с настройками на сервер? 

  • Upvote 1
  • Downvote 3

Share this post


Link to post

Short link
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.


  • Recently Browsing   0 members

    No registered users viewing this page.

×
×
  • Create New...