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fluffy.pyw
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fluffy.pyw
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#! /usr/bin/env python3
"""""
"Pink Donut" design was designed by fourminute exclusively for
Fluffy and does not infringe on any copyright.
Copyright (c) 2019 fourminute (https://github.com/fourminute)
Fluffy is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Fluffy is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
"""""
# Imports
import signal
import time
import socket
import base64
import os
import sys
import threading
import struct
import random
import re
import configparser
try:
import logging
if os.path.isfile('fluffy.log'):
os.remove('fluffy.log')
LOG_FILENAME = 'fluffy.log'
logging.basicConfig(filename=LOG_FILENAME, level=logging.DEBUG)
logging.debug("Fluffy Log: If you see nothing here. Good!")
is_logging = True
except:
is_logging = False
pass
try:
from tkinter import filedialog
import tkinter as tk
root = tk.Tk()
root.withdraw()
except Exception as e:
if is_logging:
logging.error(e, exc_info=True)
else:
print(str(e))
exit()
try:
from SimpleHTTPServer import SimpleHTTPRequestHandler
from SocketServer import TCPServer
from urllib import quote
except ImportError:
from http.server import SimpleHTTPRequestHandler
from socketserver import TCPServer
from urllib.parse import quote
try:
from PyQt5 import QtWidgets
from PyQt5.QtCore import Qt, QThread, QByteArray
from PyQt5.QtWidgets import *
from PyQt5.QtGui import QIcon, QPixmap, QColor, QImage
app = QtWidgets.QApplication(sys.argv)
window = QMainWindow()
except Exception as e:
if is_logging:
logging.error(e, exc_info=True)
else:
print(str(e))
exit()
try:
import usb.core
import usb.util
usb_success = True
except:
usb_success = False
pass
# Variables
VERSION = "2.7.1"
GREEN = "QLabel {color: #09A603;}"
BLUE = "QLabel {color: #00A2FF;}"
RED = "QLabel {color: #cc2249;}"
PURPLE = "QLabel {color: #7F0CE8;}"
CMD_ID_EXIT = 0
CMD_ID_FILE_RANGE = 1
CMD_TYPE_RESPONSE = 1
iconpixmap = QPixmap()
inlaypixmap = QPixmap()
dinlaypixmap = QPixmap()
transfer_rate = 0
is_installing = False
last_error = "NA"
is_done = False
is_network = False
is_goldleaf = False
is_exiting = False
selected_dir = None
selected_files = None
sent_header = False
cur_nca_name = "NA"
start_time = time.time()
cur_transfer_rate = 0
last_transfer_rate = 0
cur_progress = 0
end_progress = 0
cur_nsp_count = 1
total_nsp = 0
cur_nsp_name = "NA"
max_nca_count = 0
cur_nca_count = 1
initial_dir = os.getcwd()
switch_ip = "0.0.0.0"
host_ip = "0.0.0.0"
language = 0
# Load Settings
if os.path.isfile(initial_dir + '/fluffy.conf'):
try:
with open(initial_dir + '/fluffy.conf') as cfgfile:
configp = configparser.ConfigParser()
configp.read_file(cfgfile)
switch_ip = configp.get('DEFAULT', 'switch_ip')
dark_mode = int(configp.get('DEFAULT', 'dark_mode'))
language = int(configp.get('DEFAULT', 'language'))
except:
switch_ip = "0.0.0.0"
dark_mode = 0
language = 0
pass
else:
switch_ip = "0.0.0.0"
dark_mode = 0
language = 0
gold_in = None
gold_out = None
net_port = 2000 #Unused, saved for future reference (Ie. Goldleaf Network)
ICON_DATA = b'AAABAAEAgIAAAAEAIAAoCAEAFgAAACgAAACAAAAAAAEAAAEAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAzfd4ANH7gBjR/4Ak1fuEJNH/gCDR+4Qg0f+EHNX/gBzV+4Ac1fuAGNX/hBjV/4AU0fuAFNX7gBDV/4AQ1fuADNH/gAzV/4AI1fuECNX7gATR+4AE0fuAAM3zbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHEqHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA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KBR+wOOMEhPjE6qEOgMoI5VQtYi5vjWjGxuGS55wjJnjrChZQpDsBWgAMLVUwNDJVVhMi7hJA+WhWVUNYqNLONXtMAiwDgCfHRvkj6KIYnSBGlmbWclPC0wAC4P9EVPJ6SAPowR+R14vgbNbTBA0qfuF9mi82F8OejKq1NDIzD5DlOYA0xYS+Jp+QbWDgKJrD38BiLASW0EMgK+gO9cESsWuTAg92hrYOcsVxqEeIAnx45IKpsRtwkzgAUuZQY2sFHWuBo1YTgEaxlRIGMn9Xn699YqsEiRci6gHDsoYi4GVxUhjw4AoBKHP6Qu4GlAcOptowmviDo+mi8T9k6DD0qb70lL5COzo0fY03DRnTuRucv2eOsWcd+KVOkQZUMoTdm/d7Ofe73++0qmdxLoaS4pLe1VpsvOdlWxjqUPQIvAXInrSxidsIcaIwupU38HNYX5TsbzQCSVjpAI1gIN2gUlaolSi2MEYS3/Io1JD3FO7klMonJ64L1syXAu5YQtfIk75MunYkRrUYYm4w/jsYS/oayPXiPrrVFd4ggXbPoQChd2qGY1orx2nBF1fIbipcy3tX0O00EW8CacPCJyBvCQjC7gxdxcwRBZh8Hwdj3xRYjYDBFsHWEe4eVKLIFWbB1L2oSuxEhe9vWld61auilq0Xrp8/nW5fhlk9DdiQO091aUIB6h5ZKZBgi9zzaHnygSJdlV4VAL4Hz7datd9FntRMnLJOI0ILUUJpXGwGnR80YYFP5I9ExvxQIGpIkmkey4N6R5j23rXWZoEXe3XE/903FZHrlHWA5+X+kLXEYaJg5xl7m0AK0FjjOAEDb2ZAdaJDBDbRRexsVTVVCK3NCa0UkxKgBF4BLPoOUgGjJoYkwyyhsSDMK8rKkrTabctQOBQ+goJFPMo51Bf/k/NWmElFCv2x0hlQtcS5aH9JGDpYPigIAvazwqshCvCN0vzeplpXIqF903ynSgghUmSnxhjftHWFh+Aspwca9NSyRQfbiRkp0SSshSG0l7ejkhEDoRXuYwCV6DOSXMHZ0tVbjoQ5UzvVZBqLLr5O7j30AZqLYb6szAuyJZoNH4MuaSgCMRgc1XURlx4jXp+pjIhJEFtVzpJtANYwSEhx/9VlwRbJgt+TjADmsCKoeyga3k250s9ci+Hq2BZdd+vgUI8B09vkUKEDeqIFPAe70yjWBgRTlozB3Nh7r+dELM1HR8+NY67T1cawzf5YVYEPoYL/3yS/m7RUt9pdmaU7rTI3Km2M3LTde2IwCq4l6i9rZOciIBDxR9ULHQdFrgVzmOby9ov0ZEW9Rh9J8PLLIfIwLMATsK9KDcgYcUJgLeMQiacdyYkR32FpvBTqoIgozDPc6f+KiEMi6HvDr8qx0UsGg7RWQcIi7lMnpkSmKZ6gHmQWglvpkCi1UF9L5HOTICCovBoOD084kosMY93itG/LQed8aG2mi/2ETS5XOXFAGjHjNyYvvicXwb8FGggKz5bVMQWSDlv+0GgPE00bRsKggcYdhgkQCDjgQogz3AwOSmzBCBBOxR1raGLJAhtJCsgKymLC0tSd2EUWIUTTBwUcuwCu9RdOzklM3om4Pj+UzQD82Y3oyP6aq8y1aCNhQM1oYJ8y4bqN7ZNvwqNoUCRbN0VpQIe/ziqqEjIDD2fC/UaRsreSEu8TSIsEQ5QweG4mFIvpVe1vAGcbKYQQWOZ5qI60LZpxluUgD3oyA9yVd9u4ClqDlDbM26W19CkM9MFwD/7+5ERGsADq9ZyCSHDJDQqORQnTezpZDkYEGGWObTA/w9VpDsUrC0HNXPehUftqYpdZfCWpiqJm4K41UiEcPSWb19hILikWiFc5K1sJofJwqx66M4zAOpkyhBfkkcAt2Efa4Z1t8Em+M4BFGYeHPE31YfS5vsCHcTDlEbUlUh9hFLR6BQe2GQBnReGKrwvkllqtMBfVHtc5MIWgbDwEKZCHvEFdAhXYfnbayKN0+l5a/oDhtpzIo7B5ZKdqsIu2iba3R0R0nSKMAuuQBxdALAh5/4ogxs/PRItY/TW0iZKCloVEVVXxrX6fTzDY61q+hdmZI4i25KWF4oju71vy1RYKoQfNDLoj4qaV1L8uCk0AsINtgOEqEiotH8jPLtGlngH7i3m3FcR3++qDzQd3zcBH7nSmasrSPD8JQeGIwSuUW7i9yA7W0bSr4OIX0QlJWqaOg3fDy1jnUxi2BEz1opfYWCp62A9kivi94QxBDc14rTvAfE6Vi8VYE0Ckgr13zxAcjpjD3eBITB73TB703CRnsX9OeTIn2WMdIGawGRRAAYMah20HlZQspikJgBGZdi9YNB3q0PYPBqHEgdHH/MU3ID8WlJV1tA6AF48HnB5e1uqOtrozzwqFGengv4kWYJgRZBkjve8IcR+GDqK8+h4R4puo2ANEIlhPbtYSXGeqHqw3LQYDBMdgVj42CWQvJTGnDbToEkqMfJQgVSAHjrOJoWqQ0bdpVBRxq6TK//IZ7HSFpUgvHgDvU8hlPQsXFHKkTv2DDogXTKgMw3JGAoacQlwdjf7Tvhsyc+HQTcBWdu8hkfcPzINfdC3uCSM6QFVCB0cXj+OC6z0cU+2ihozuJwUS1AIJAExIErbBP1pYC8GpZW/VNrh0HinDW8htKajGiCJqcQO3ssGakBNfR4SbMGG2KGEYRBDk4ksU9fS1SYhiEfd+OopY68WbHgXd+6wDN3Nufq21m0ZRU/uIbUlwb7XAARks7yA2ou6/i6gUgeBQBGmWQ/tEmtwS10TnzLcwPLbTjXKjCBkEce6PS6U0oEdcVHhpBhZ/VQZ5PQRqEH+rSsZcx71tVHNokAEKDVocosN3kEbf2FXEVSeukyIxxka8rTW2PQNsOi5ZBtcyIh//g2Nzmdd4DhEKyY7wgRZRMI870Qi7a7YAgtb7IU2hBJEd2wBXJVAtmbaycXjQprNpqeGHeIMSoeWk6rbvQ1VnevtPTs9jAJW/TqQwEe+k431aSzjCUox3p6lUsOqewtW6LCcRtNe0M1hfYgCKFEVLLRj/qbEfPTkdNlo/UqY4GJKGOXeKw4OS2KB60LPyphf8bcYCjILFhNgQz4nK80g45LBcYKgGnMwa9CNZ2FLG900MFAghQHfhQls5nSBRtrwUXfgAB9R2JENWN6VIoKxRcrbwJOnW9ExtobhRoiYC1AkDVt761ewyaW9NCgch9acUrwAFINzeoBW30blrfY7IQ9KImepjoUUVDx4Eq1juKzk4BWTQ7LYhjdCJUAfvFlh20OZBpkwaVltoEVLiEjLGljXdyQzuilJBeWWsuTWKWMm3cyiggreX6StMOrZKRLHkR7XDRzgvQ42E3lqPTOfS9Sg0rik6sG6uJGaS2EsHo1N9J1KfTmQSpK21GMJCEKA5Jq3JpIM21FHEJej46PwYvDvQX7c9fAnSrZX2sbwfpHWUnNKvayJPAg120Ja1v1qTxmkwk9bQubADLByazutbf4NhaAHopgu6CTkghnSiM63XKbSx8QFpcqjNdJLhfXDNgQ2z9UIRQjAQbxBWjPTBD0jntqWhjWedg39YKMMLzktYBsLFLZ+AQrrkR7+ERKABXS9pNYe4Z8GfcG1TGQW4dpWskZdFSqAQqGRDR9j+3owNjsbdIjcKf0sKHiTAc9J00+ApAIaLVyfHKnHYkSQKycFUtqzRxBy0hZXDeZB9dBTii6LMuRSjQUtpiSkhEMAjMpqkQPzwf9rCaBrXy3bnRmlWdzbS7GYkhHb/ohhRlgoBLcHB9zo5o791pdR+ppLWBA2RDRUiMo0O9Vcu7DZOgE+6Iy5bFRKDfRFdT+8u0TXa8SCglB/qiZ7HNSWduiC6dR3YW7qNIUhdMdkIStiz/TyjpLZ082SpoLE5ZUqnUESXLG+hF+Ew7EDJPsehQZbyq4If5N6IJFWo6IIrNMKTIhat9f9PBEW60EN6orLG0G2jP2UfcVK4eRxnMaqxan67alLo40torUI9PaYbQliTSum2j+9fg01p/DRJhMQ4sngUdgtZSZZKfGDpPd96ZCpT3elt73GmTKOa7dHFxTTZ3j6xDXJNoB/NPMCFR6R3tcAV8HBDxzuggNoB2z7dffiIL3ONKhPp3mEhdbNbcOraBOsJK17f7RX0BSVpDx/8cQoD0XtT2OyzRepkORk14Pi0rkZgSELHAKAotYra1BL4BZHqxep2LrFp5Y8ZHVmYVKArznffbO0I9JcLXeCa9akmyD6sGt9vCTW4gCW1yha0IxzAbCgf9FtooUA2USoaLT64fIgEoLvWIjDTKaOoApWm1Ddk4Ej01aA+up925m+GAKuPS2smlYzBQJWHXEXo4qP1ZIHvHObTVB5kBSoRt6GQPCiHjManeqoOK6F0eVJ6mLDR6Cxs6mlp3ga+LTizk+073N2jr3bLfrONNaF/SfLQB2nXwYtcMbKhjEYo8YRSX25Xc0HGu1AkyHIuAghMTuhEcVyCJ4+cc4KR8dX6lUrSQiZBZq78tnoaFANOadhuKdo5zBSGqj/iqVIrW6iklnYHA56F6DlNpcALZROLnofNu0qDcKB9tnR+bcWkXRkIlRiMfiOx3QBTA3Q3vH97YLg05K2VVRwBMyQFBBNabMxotgikACeJJ24I0z/u3FBSzlja1hM/7n6Wtin6v3/MzXA5oYJGzeEH/pgb2wRFPJHLSWtw6TSSjwtH9+zuLr/VMInJSfy1BP10d5eOGbwEIxSbqWTmTRx33nTqaJmoe5JoIiTAkkbRUhVopQlNttVUkmFbeKfML4KQdXMSsC0FoI9QK9IFvku5HXER7p1jBwwXVH50MBuuuFgPQaAQQTPkRuYBgT1f0JbZsil4aMNs+EPQM+pcARAtaEIvqXjVvjC69kOm0Hqu27uCAPh2B4ylwMAgcFD1QXtMDEoA1YkNPxQz9Y2weUcuqQUHjs9cc9ydm2SEXuEZiNATtf6DJ53PD03/2MJUcDwEjtA+tjJQRgOgwwIKbwhaiQJuuat2tDaT/O+yE1dVq4bYBdDBZSv3a2yNBMGS4dTKwGBEOU+sD8e1kX9LJjT5jw4zqNNTUP5SYG/fcGLYh5z7HBnTyGZpnEC8nXIoy9zr6DY5og9ZpW9XroHLVIhwCNFG32lkBzfDL0tc6AUWeojT8lVO/wFpKWnMU++rMt8+uJK1CaOv+2mdsOgVPGev8ymg6Uc9AURZ0VHrOBzM7l47AN9hL0Akf5A7TQjAP0VCQMI9OoEEeW1ocDiCbnpxrbVnnRuZ6zkYbvxh1nfeHRWIzdHa1twPSrnz3eNvYTTurqLUj56sTYQf7khGiCRd/aG6ED4CCOqQCMx5zBrh/QkCm0xSf5QNMpjbSAV8ytHVEWKfIF/JEx3xMRxoW8lTbWFLbOqCJHtbpQ5qsyzzgBvWvE4rOXC9oFTx+hxLsARteK2prAXlwjs6CZB3RYrriaSphZ2dgIY1dik5TKPd8gHxS/g35dTDDWmw1ugC2R57Hc+3gFSU4IdYZtKuHMAZGdDYT7SXFQW/1io6IFDWmHejVBC7AGWiJ/kK423xqj7ww5KtNPcTgcVoLG+ReLL0rJafTWAlJq7YKV+ujl+nrsH3T4euu7dmjI6zUJZgAmxWUxnFroWc6tIYTECG9g53j/UOv7v4b6G0W1dhhA9sAAAAGYktHRAD/AP8A/6C9p5MAAAAJcEhZcwAACxMAAAsTAQCanBgAAAAHdElNRQfjARoXKQgNNP/rAAAgAElEQVR42uy9d7wcV333//6emW236l71Xiy5YGPjgm2MwQktmBIwECeE6gQIKAVIgAfyI3kg/QnkR54QnAABDCamGkHAGGzjjrFx70WWrK4r6fayd3dn5nyfP2a23aZb5hZJ8/FrvCtp9+w5Z86cz/l2SJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECWKDJFOQIMGxA1XNAK8CLgU2AS3AIeBp4KfAL0UkSGYqQYIECRIkWLhk/k5V3aUTY6eqvi2ZrQQJEiRIkGDhEXmDql6jU8M1qppNZi9BggQJEiRYGGTuqOr1Oj38WFUTs1qCBCcIkoc9wWwTUga4CHgpcDawAWgHmoEMkAbMMbYWB4CDwF3AD4CfiIjO0vz9PfCXM2jir0Tk75KVeEw9M8uAM4DTgY3AOqAB6AIeAn4sIs8kY0mQEHqCuXqQXwR8CHgN0HScD/de4P0i8kDMc7ie0NktM4NmhoGTRORgsioX5HPSCrwwus6LXtdO4qs/Aj4hIk8mY0mQIMFsPdSLVPWbeuJhSFXfGPNc/kNMffs/ycpcUM/I6ar6KVW9W1X9GdzXvKq+PRlLghNWQtet29yaP7YB7kQfH2ee8sBQ+TNy5WVJmFD4cK8AbgCef4JOgQe8UkRui2k+HweeF0NTT4vIqckKnffn47eBjwMvirnp94rIfyVjSXDcEbrduk0ktMm2ArlI5bOY0I6TiVRBOcLPrI/e6yTnpfy5TuBI9P4Q8ERE8g8BvcCB6M95ufIye4JsVs3AHcBZJ/gzdQQ4RUR6ZjifrdFaigstIjKQbHnz8mw8H/gC8JJZPEheLCK/TsaSEPqxLnGngEURcZ8BnAqcQ+h81QgsARwgNQfdKQFFoAc4DOwH7gYeBp4DOoD+45HkVfUa4K3JIwXAZ0XkozOczxcDd8bYp00i8lxya+b8ufgQ8M9zsP/cISIvTcaSEPqxSODrIvI+DXgZsBlYDmQjyXvqx0IrOKKY2ZmREjAYEfpjwO3Ao4QOT4flysv0WF5Eqvpa4CfJ41RBH7BERPwZzOn7gf+IsU9rRGR/cmvm7JlIAV+f40Pu+SJybzKWExfuMULiiwntsucDrwTOJAx9iqX/w4Hhp0caaU8rL2wdpsmJ1ySurqYlkHaUdkKb6OVAAdgHPKBbt91A6Cm9Xa68bPgYXEd/kzxKdWgFXgzMxJYepx+CRxhml2BuyDwDbCNMzzuXeEO0jyRjSQh9QZL4mcDvENprNkcSeOwY9A3PFl26Sw67bJqXteRZky7iMHPB2dswRP+5u2h6bA2Zp1tr/ykbjWlzRPA9wGO6ddt3Iwn+mCB3VT2P0MSRoB4nz5DQnxdjX7aLiE1uyZw8DwJ8Yx4IEEL/oGQsCaEvGBJvjG7k7xImItnMzGJwJ4XFaZ+3LuvnlsEmdmiW7+QXcaEWOSc9QNP0taYgkD/5MIPrn8Fr6mfp4XNxetLjfbotOri8pIbcvw/cCDwrV17mLdA1dFnyGI2JJTP8/uYY+/JQcjvmDH8XHdDnA+uTsSSEPq+wW38ggqwHXg78IaGXdMP4Iu9AyJRuA4iJpQ9GYE3W5/VOF48Um3iQVn6pDRzQLC82/azS/PSkdYWGh1cwuHYRhba99J+3hEU3b0aCoxrqa8n9EHCHbt12FfBLufKy3gW2hl6UPEZjYtr3KVJzrkoI/ZiTzl9OGMo1b11IxnJiY96c4qJ48OcD7wJeT5gWcOL+2BLadRfW68dm1mKaNmLSzYg48RwuVBnyS+zxHB50lnEk20SDA2fKMGf6vTTq9ITkgRd00PWSOxDfsOSmS2jYvhiZ+tR7wP3A94DvyJWXLQgHJ1U9AKxMHqVReK2I/HSac3oqEGfWrFeJyI3JLZnV56A5umer57Ebt4nIbyRjSST0uSbyM4H3E6prp6CaFKy7CFvswe9/lKD/GSS7jlTrFlLZRYiZ2XCMCE2pNBsp0VjazY7SUnY2LOEBtwlXlPNKndM6ATU+vpT8upMY3HAfXefdjxy8mNxgw1RJPQVcCFwAvC+S2K9eAMS+NHmMRmEYuHUG398Uc3+eSm7JrONT80yAEOaBSMaSSOhzQuQGeMH0iLyKwPqUCj34g7uwg88RFHsJNI1pXE9D+6lkGpZgnJmFSSpQCjz6SgU6TJY9Dcs4tdTNerGkzPS0AcVlQ3RceiOlpr00Pnoxi28/g8zMwjkVeAb4KvDf80HskdNM4mw1GleJyBUzmNc4Q9YKQMNsFY9JAKq6OZJo59uEebaIPJSMJSH02SbzDcC7gQ8Ay2banm8Dhv0ChUIftn8PdmAnQaELqw5u00YWr7uITLZ1xv22ahnyivR5BVBLzk3TnM6RnoYmQIH+s/Zy+EX/A55L+y9ex6LnVuLM3A9ACWPa/x74mVx5Wf8cb2ZFwoppCUIMEmaKOzCDOf0b4K9i6s/jInJGcltm9Rn4OvDOee7Gj0TkjclYEkKfTSJvJgw7+1/AljF/T2poaSqSulryXpFBbxivOAhDBwl6tmNLAyw/9c00NS2LZwyAF/gMeQUCtaQclwY3TWoapG7TAR2vvJv+dTeROnwmy697JY2FxunY08dCiVDN+7fAXXOVjU5VdxMm+kkAAfAGEbluhnP6X4QOosnmuPDJfAPwLGE2yvlCH3CeiDybjOXEhpm1hb5129nAd4AvEsbk1rGWOkpp5QCdL3mU/jP2Tvlo4YihMZWlNdNIU0MbqbYtmLWX4K57OZ6TxbPxJIcRIO24tGYaaExlcEQIrCXQqfOlKTm033smbu8WPC2QN8N4QWxJbNLAqwhLEf6jbt22bI7WUJJONEQeeNtMyTxCnE6Gu5NbM6t4zzwToA+8IyYCPJ7GkkjoMUrlbwf+Elgz6t9TltKafvpOe5aBFY9QSu8me+Qc1l33WpzC9FTZVi2lwKfglygGoSd61k3R4GZJOW5sg1QgsAEaHSiMyDTaUIaW9DE4WMJ2uTS6WZrS2ThU73XKAMIsS38J3Dqb0rqqfgHYeoI/R3cBHxCRR2Ka0wcJ/U3iwMdFJCmfOnvr/znCuhHzJc1eLiI3JGNJADE7PujWbScB/wS8cWTbmgsobuij/3nbGVryNF6qEyllaDj0IpofPR1bCNUFU6VIicg156ZJOy5e4FO0HtYqxcBDBFxTJXXfgYNNiifKxj7DVFyFBHDNzA6wgtDY2Yob+OSdAr4GFAOPnJuOS/Ve1rxcQBji9mnduu2rcuVlg7O0hh4/AZ+bckW924BrReQXMbcfp3Ylyd8+e2R+2jwR4DBhbvVPicihZCwJYid03brtYuBzjEjZZxt9Cqf0MHDaTgrtewjMAFLI0LjnfBoeO4nUrhak6OARoAZSxkFkesTmiMFx06TVxbMBVi1WFVXFTwn7FxluWqb8NBuwvhjw6eEULUUZUxKfEbVqABPExgtCxklhEAqBh1XFt9P3oAdFbQBBEfUHEb8Pya0Bt6Ed+P+Bc3Trtk/KlZftm4U1FHd4yS9E5BUn+HPZHmNbB0gwW3jZHP1OkbCo013AzcANIpJPxpIgdkKPqp+9GfgXRma3Ehh80T56z3gEK0VMvoHGvVvIPrIad18TeFJLSXjWR1HSxp02qQOIGNKOYFUppmDPshS/WJniZw3KPutzxnDARQOKlnx8dULy1mo/qu1IhYDL3TmqFF3qRYe2Q+MWJL1oQmk/7bgYkYo9fvIHCcXaAOsP4xf7CYaPQKkTE/ThSAnXMWAyiLseQpvYu4CNunXbh+XKyx6IcwGJyKOqSURUjFJfjnhrFiRFWWYPs5FvvB+4Hvg1oYPadsJc/H4yluP2mXej+d8C5IiqcorIzjkl9IjMPwJ8krHStSqkDrbgrl1Meu9S0o8uxTmYhQlSn1pVArW408j+piiq4WspY9izMsuN6xq5sVHoCHzOyBf5vUMlzt1boK0/IFDIG6eqRtd6xpXoPyMhoYfELhVSD0lear6iaKEDO7QDW+jFWXwBJt0y8Q0wDkYNMkkyLxUH6TvyJH6+Ay114+gwriO4qSxuugVJr8LLLgG3FVdtrW3+pcD3dOu2K+TKy25PHqMFi7aY2+uapU3oLEI7/zJCZ6b9hHWsT6QDxFkxt3ctoVPYcDKWE4LIVwF/AbwXaB7j3x8HvgJcKSLFSQlYMyTzvwD+OjpVjP05oxSzRYIBJkxBYkQwYqJLJu0kpihEJG5VUZTuxWm+d/ZibmpJcwQ4fWiYl+3v46wd/bT2lpBAsRH5AzjG4BpTJ31LJKGLCAYT9S/sY+Xfaoi9TPbqFwi6H8Dmd0JmNZmlF2JSjbEtgsH+Axx68rs4rksq2066YSmpxuU42XYk1QgmjUZ9dIwhZdyRdv+dQKykrvGK6Ce0yl1VzyDMKxAXUnFJRKraAPwJ8EHGzjWvhKGTHxWR+0+Ae9VLWCo3DgwAm0SkMxnLjMdyIfA64LSIKPuABwnV+/ctkLXzduDKsYh8DGyPDkf3zAqhR2T+58D/nojMazqPZwN8G9SrtCMSLBOlI/USsCL0mTQN6pPWYFxpXDUkc4ti1dKxIsPfXbSarO/z0n29nP50F81dwxAoltCuXrat2+iU4YjBMU5lQsqSefWgUfOKINH7qgQffRaD9QcJOu/F5vdhGjbRsOICHDcXy0Lw/QJ9PbsxqUacdCPipCcsUuOIIe2MJnVFrzBXvun2mBZnQujxPegXE59fwoCItMTUr/OA7zO5KliW0Mnpb4/j+7SIsCpiXHga+FBEOjYZy7TG8Wrgs8DpE3zsbuCvROSmeVw7nyTMFzIVDAFvPFq/p0zoEZl/mDDf76RZSlF8G4Tx4RpKuE4NUYZEXo89bjO3pds52c9zXqkTp3wciCTxMjFbtQSVV4tnlJ1rMmR68jQcyaOBxRL+W+1nVbVitw6JOZRsqZG4DeOQeq3kbkx4IIgOBY4ItthPcPhubOEQbuvptKx4IY4bTyXYwAaUbFAJoRv/5oamgjKpm4j4w+/oTlWucP5j5qSeEHqsD/ulwE9jam6PiKyPqU/bmHop48+IyMeO4XuxjDAE9zXAKcBymFm+5kngMeBDcUdOHE9jGWNsKeBLhNlIJ0dHIfF/fB4OT28Hrp7m1/uAF4jIrjgJ/Y+Bz0yFzOskTBtgVevIcTwcNjmuTy+lYIVX+t1ssP116vUygQfW4muAby2BDfDV4gU+haBEKfDxNcDaMqFXVfNiwM0EuOmAdKM3Kltd2YYOoL5LkM+ggQPWqVHDh6+uOJHq3iEdqbmDQje241fYUjeZxefRtvIcHCeeZyiIxuhbW9F6lA9FtZoPGXEgqdVugO5U+B33P978wAwXaULo8T3wbyEMN4wDD4vIC2bYn3OB25mopPHE+F0R+e4xdg8cwhwOHwOa5qMLwKdF5NPJWI46PgP8D/DaaXz930Tkg3O4rtoI628smUEzE1ahmxKh69ZtrwS+AayY2R3WScVcW+BxaeFW00ZL4PMae5g2ChUy97WewMsagLJ637M+xcCjGHgE1oJrybYWaFw8SEPLEC1tR8jkujGmiOv2hiSnZZt8tBQ1NBlYmyXwWvFLLRSH28j3LGW4v5nSQAO2mI6k8yqhpx2XlHGx+U5sx11oaYDGVS9h8YozMROEpymCAmYSuXCthpEBgdqq6r/GBFCW0GvnWst3oGquuB14W+o/37JvBgs1IfT4Hvp3EsblxoG7ROTFM9ws7wXOmUEfeoGNItJ7jMx/K/BdwqyL842/F5FPJmOZcIyfIjT9ThdvE5Fr5mhtfQL4hxiaukREbp8RoevWbZuBHxDWMJ8zFFW4Vdt5OGhgU5Dn5c5hshJERB4ReOBTqrz6FTIPrCWQANMyRPPKIyxZtZfG5v24bj8m8hPSiMDRqjq/TOJlVlel+pky0ysEQQteYRVDfWvpPrCWQk8zBClSxiHluGSdFCnjokMd2AN3QXYpyzf/Fk3ZpjEPNCVxeCTdjo9wXrETdxKFzDSKChiPwMc6Lms0oPJ7Vb3KoluzX7x8eJoLNSH0+B76DxA6y8SBm0TklTPoy5sIvZVnik/NloQW89ynCMOsXr6AuvUmEdl2Io9lgjGuJwyHm0m01n7CYkpDc7C+HomJP68WkTEL6ExqInTrthbgn2fSmcFMSCDNxalp+dNieaHt4aBveMpL0yJNnJvqwmDxbEDJ+pQCj1Lgh1dE6AE+jSsHWHnKTprbduGkOkA1DDXTmmsk2zHe32n1NSJ1Y/rI5PrIZJ+gdckihoc20bnvNAYOL8Hz0ng2IOukSOeWEKy6mMCk6C4N4zhpcqnRmeE8DNtNjrwKm02aJbZw1PmRSN0/Wd1X7f81Mj0o+lZVvSP/3m9/reHLv5cElc8vGmJsa6YJO94SUz/eDnx6ljfLduAdhDbi0wjD6QaBfcBNwLcm4Xn/6QVGgAD/V1WvF5HCFL93PI1lPPw5M8+lspowbOxfZ3l9nhSjMHzJeP9w1Ngwu3WbAH8AvH7au0oavrIh4LObPLpzk+eLsga8RTxeLN2k/YBfDzexfThDMfAoRer0gu9R8EsUghLFoER6WR+bf/NhTr34ehavvIdUpgMjYGQktVXI2dMwBeEwynDlPdF7rfx9ld5riF4BY3pobLqfdad8j43n3ErTqgMUdZi8V6QQeJhcO066iZL16S/lKQb+qPNDTj3We3kGA+EpbSSYtYQtSu04VDWjqn9nVc8hwXwjF2NbM5U6zo+pH5ujSl6zsVGKqn6MsEjQvxKql9cSOvAtJoyv/gvgPlW9RlWXjNPOOkJn34WGtcDlU5yT42YsR8GbY2rnw1Fyl9nE62Nsa52qyrQkdIFTCeNOpzVga+DONcK3Wx0uyQPWMvmCPlpx+FrtFjjf6eXG4VZuL7aRaRigxfEiG3kopQepEstO7WDNyfeRyhyqqM9HNDiIcogwHnsvcD/KHuBgTbq4sQ8/yimEDg0XAWtQ1gFLqfP+LdDQ+CBrtzxD35LzObTjdIbzYahhg5vBiCFQS8Ev4YqpCyczwGZ/kIclxzNBhlMstDs2xsIt1dj7Guk8KnCjK63aT/ZecfXvL/raO5JkEPOHOGvLz1RCj7Pq2yZgV8xk3gR8izDmeDJ4K/BCVb10jIpe7yTeDH1x4o2EvkuTxfE0lvHu/eZIuo6FICNt1Ldncdyvi7m9FGHJ7MkTum7d5gIfZwZJ+59b6vC1FQ4rbcBbD/rkhiy+OXqRk7J0jobOX4LyvEw/e/IujxYy7CDNlmwPVpVS4CHNw2w4ezvL1twbjbOiIg9QDhKmH7yB0MlnD9ALEmTfsX8qYvB9AINfXPpvoFmgLSL5C4FLI5VKK4qIGaS1/WYy2U4O7ngRhZ4llZKvRiTK3x7gjEho00aRVV6Bp4I0OzVLTvvIuekJSf3wsjSDOac6adZGl1ZeHd+yakBwgpqZKTv8RTH5qvZSVftqwhClBPODOCUFfwYbpku86v8lcU5S5L393ei5m5K2APi5qp4nIrWx169ZwGvizCl+/ngay3hYHnO/PjxbhB6Zgy6JsclDIlKazuZx9kxOFv1Nhv/elGVXWvnoAY9Nhy2q4AU+qorrOBM4cGlFQtcoYUxaAi5sOExbAA26n/6SjyMOqdYCmy++n5b2x6qOa8oAcJvCNYSFAPan37ovloxZTX90RKmq5Q8At/T/e9u/gm4Bfgv091Q5E1U3m3uYtaf00LHjVRQ7V5NyfNJOqhpCplqXtz6F8jyGeLyU4gltZH2qB0d8sm5qzLnyU8LVL2jn+uYUnlWCIEC9Eup54eV7qFdiRdHnS9sdlgzJCOlcUbWoWqzVjLX2Q0fe/pWbln7zDwcSbj1xCZ35CXGaCv56GmReqy34KnBZzd+dtIDHOtU82MfTWObiOQE4X1UvEpG7ZkkrEWd/H57ypEQJZLYyzcpPvivceEojP21N8freAhfvKuHYKlV7NoARpU1H8nmF0msSyDS5Hlsa8nQVAvKeh5MusuHsZytkTugIcwthlbG707+7tzAXq7TlT3qGgUeAR/r+rfVr0U38AMqZjrvbXbbhDg4WLqU07OI5Phl1K/H0oWd6FatMgaVBiX2+yyHJ0OiUsOrijBGzbwLltN4iGgQENqq65vng+6jvgR+Ab2ksWpySoGpqvdtr5lYjUrcXqLWvJIxoSHDiEvrimMcVW0UtVV0NfHSmm6yqXiwid1aUYwsXUy0rejyNZTw8Owt9+7NI+Isbb465vdums3mcDvz2dH/x6fU5rl7ZyCmez1t25Gkaqg/Bqkqlo2uMVRzQlWq8dE1mOEcMWSdNwfdoP7mD1uX3oaAC9wB/BdyZunxPYb5WbOuf9XUC/9X7ry0/BC5H+UQq/dSaJRuW0fn0JXhBCt8JwiI00YGlVkpvMJbTnQI78zmetM2sTh0hbQOMY0YdfoyFV93bzSXWx7M+Vkf6AWhFE+CqpWTCBDiMVrdjrUWtzdgg+NODb/73n6289k9OuLKGUez1EkL78QpCO92G6FoXbZZZYDdwP/BNEYmzJvxCIfRlMU9tnHHo7yQe58E/BcqE3jMLY44L907x88fTWMaEiOxX1T3RMxkb8arqahHZH+N+0g68MuY5vHFKm0fk2X75dKXzrsUpvnlyCwOuwx/v6md1x+hCMU6U+nXimOkyGdU4cUXpW40Ize3K2lOeQKRUspbPO8Jn3LfsPrRQVu6iD/V39nyu+T+AX6J8Ltd0z2/mFp+K35WLstop1ihG6g81ApycHaa5J82zpTTn5ww5J4hqxY+2pbsqGFwcVUpRHfgRdA6q+AQEgcVVgyumOq8Rmddc56rqC2bptBrHQ+JGa9eJXlOEjokZQqey8vuGmqsxem0ZcS2KpNHF0XpfPEm14MnRg/pxVf0h8EER2RPD8JwYp2omhL4y5tvWHWNbcdmIX6WqjogEwI4FTIJTTQV8PI1lIlxFaHqJ8zD9/kgojAtvId4Uuz2RIDF5QpdQCpmWdK4C929q4tcNKd7YNcy5T/djRuRHMcZUKqsdtb1yAhQYUYRFaVvbT0tLR8laPqvK37i/s7u40FZv24cHFHi451+a3g2FrzUteeZlvV1rK3nlbWTz1xFq9zY34MWNwwz7Pinx8awhrXbcOTMipJ0UIkKpEhKnFUd/kdBHTrF4gcVGuee1TOIRsUd/blZr37jnDZ/71boffXiu49J/Q1UHoVJRtnyZ6HIW4Cb1RuBlqvqm2c5bPdXHcQbfXR1zX47E2NbmuM7chFXj9hImYXnRAlxbO4GfT/E7x9NYJsKXgU/ETJjvVdW/Hc/pbBr4/ZjncMKCN+Mx6plM07FCFM7ZOcCf7hvgDY90kc0HI1UllTSpM1K5GKV9zX7fMcFnHEf+Jnv5wiPzOmL/i8E9wBWpzL7bTGY4JPNI3T5WlhtH4MVteS5uH6TRjXK324CJkrKFpO6SdVNkHJeMU31Nm/B92qQqiWhs7aHCBhUJPXp/qQ3sfNjinBppOkeo3s5ED62zgG9xC/BTVZ1pms04i0XM5CGLU5XpE29d9qUxtlX2lv4GsBD3kI9Oo4DI8TSW8TlAZB/xe6YvB34nltO06hrgJTH373+m88C/jhnEMS7u8nnN3V0sOVwYcQOiMqU1JVKPetOoFhyplksp5yrnV8BnU2/etaDJvIz2jwzusX7LxxXtLjv76QRilGuEBjdVCVsLogIzR5uvlHFJOylSjhtexiHlOLjGwY3yzRuRKEe9xUZkrkHNexucpNaeQoKpIA38d+S0NR9S9ViHo+libZzSecxVreI82GUjctgN/NsCW09Xi8iUnVOPp7FMAv8yC21ujamdd8zwUD3WwfinUyJ03botC5w3o5MTkJawSEmts5eJJPOjqdpra5KXpXoRauqTC0ad4qEnT/lH5027jomiD2UM95/062C4YVvZ2e8oyWwwYsg4abJuuhK/rpPd87X2tEglpC9UrWuoXh9hPy//vVqb0yC4MOHoKWMJMJMiFHES+kw2kw0x9uPAMXLvPklYWW4h4GfAe5KxHPXw8jBhVFOcuEhV44iXf2fM/br9aEWOxnrgFwHrQaFwGIYPTnuPKVceK5fydI5SLnUUqQuVkK5yXfJyRbOUcZ8oHmy7i2MMGz7zVWswV4kwNFkthREJ1eU18etHZ4Qo6E+1LkpAKyVkq2SudYQeRH9WNLAXOAjly42uBEfFu1V10TS/u1BU7nES+r5j4aZFdtPLmCAsaA7gAf8EvG4mdtzjaSyTwOdmoc0PzOTLqno+YZbVOPH96Tzw7UAb/jDa9yBBzz3Y/PRJ3TGGjONGat5ar3Y9KqPX1vaWyInLCcmcjON2NaYyQxyDMEY6BCnW6yOONh1CyoRq86NVU6t1hosWV128uR3t1R5J5UGdlG7RtSSYDrJM33Y27xK6qjYQbyaufcfKjRORbsLohX8kTBw1V9gfEdOpIvKJyPM+GcvkcB1hLv848XZVbZ7B998Vc38CJlH5cKwH/iSgBSeL5jYS+AVKnffgD0/fSdVI1W4LQOEQ2vcE6g1MsH/V28zLEn5KHNIVh68UxyLK2gYjUk0qMw5HB46gkxSKx6h1XkfideFpY5B6mcytteEhwOo6ql7mJGXYpoTpmq38GPsw3QdkQ8xzsfdYunEi4onIXwJbgL8E7gAOxnxvRuLjIvLnIrIzGcuUx2iBL8TcbBPwtmkeiLPE791+i4gcng6hh5uAGEzzJmg8Dc/rJ3/oLrzhGEJJNUDzu7EDj+AduplSz5NYLz82nUcq94rdvKpuJ+2kyJhjk9Ad41TMDxO5Bw62uPzownae2Nx4VFIfj8xrE/KMJZ1r5BSnQVBRvZfD16IkK7W3JCH1yaN1mt+L08EzM83vxZ06dM+xeANFZL+I/KOIvFREVolISmqQjGVB4auzoIX4o2l+7zJC03Wc+O7khMUR911rqUNcTOup2Nxm/OEjDBy4E8tkoSQAACAASURBVK/QN8OV5WCbTiHInkQQFCh2/ZrBfTcy3PMs1i+MLaWLhA51kVNdyjikHXdj2nFXHosrzzXOmY5xmkzZp0BkTBF939IM31jewOdPbWXHuty4pD4WmVfs5mVpXC3BmNJ5EHm3R3bzssNcOS6dOic8gcSIPsuI09Y4XULfmBB6gmPswNJDWLcjTrxAVafjGHxFzP0oAt+bKqGPXV/VzZBd8gJsbiPFob307LsTrzg4o96ZdAu66Cy89hcTZNbiFbsY2P8LunbdyFDvbmzg1UvpSNUpTkw59GqDa5xLj7WFt+cdX2p0xflDV0y6nClvPCl94948bzswyFOucOVpLexfnh6DzLXqvY6OYS+PLmuxGhDYIApNi66gxoautV7uWhfzriOpPcHRsH0BSOjTDT1dnxB6gmMQX5iFNqckpUe16F8ecx9+cjTv9vEk9LGP+elGGle8EHLrKfRtp3PvL/G86Ws3BCHtpsk0LCdYfA6lxS/CTy+jOLiHzh0/pmPnTRSH+yqfDYVYwWAiSd3BFeM4xnxk6H3f3ngsrTjXOJe6xnmF67hVtfs4Mm+mpFz6UA+/f2iIX7nKl05p4HCbM0Iyry9io1Qz6dV6sgc1avagLJEH9V7uWiH2cgU2FR1HH5DgqLhzARD6dCX0OAnd59gJW0twbEvpDxLW84gTl6vqVMxn7yLe2HOYQv34Sf9wNttC8+qLILuaoc7H6Ol+rloIZJqknnFSNGeaSTetJlh+AcHSF2FTbeR7n6PkD9d9tkLqUg1fc8RsccR8ofBH3119LCy4jnd/7RLXOJ9JO246FXn9m6Mk2WkqwFse7uVNXXmuTytf25Kmp7EaKTBSzT7SVh6mmA3qSF0jMk9pnkUcwtVi5ARn66qwRRK6aHglmDwejuJjp4OFoHKPM0vcgTnwck6QoIz/jLm9BuDtk5TOhfjV7Z2EqXynR+iaLY65fQtCY0MbresuwVl+IcVMK0NeYcJUpJNB2nFpzTTS1tBGtm0TZu0lOGtfRsnJUbL+aFKveIibSMI1lxqR/yq9//sLmtQPX3HVb7hirkqb1Ia0cXEldIybjD9K2xC849EBfquvwPeylms2CQMZHSU3a6WCmh0lnY9UtasNaLIdtMouGqW7SuY1pI7Wl2yL0uAk3H50zCSxTJwS+nS9RtfE2Ie9yXJIMIf4DvFW9gN43yQ/dwnx+59cIyLetAm9sP5ZNBWMK1W3NC1lyeqzcVMNDPslCkFpxpZV1zg0prK0Z5tpa2ynoWUFJQ0YLBUoBl6l9WpMutQQu2DEvNog3wo+cO1FwQeuNQtpdR254usNnX/wjStccb6RdlIb0lFMvjMJ6bw677B8EN7zVJ4XD5W4qsGybW1AwdERdnNbYzNXAi0T+ejwNBMM4/pHKPnQW0rjl2PQq+r2ioROvTNc4hQ3Mb4rIj+ZwffjLPs75RSpquoQbwx6QugJ5gwiMgxcHXOzZ0aJYo6GK2ZhSF+ZyodHkZ/XcgBNlyaaMJrSORZlGnCNQ8kGeMHMNWrlxCnNqRxtmSYaU1kEKAU+XqV62MhkM1IN/RJ5CcgPBfkHu/UHG6MSsPOGrj+4Ot31B1df5Ii52hXnP9OOuzYV5VIP098KU4kWEYT1/YatO0o8v+Dx86xPh1usyQcfvlazwdV7socOcFUJPe13oUGeQS/HoO9S8j2CqPiL2qqjHYln+1TwK+DdM2wjzhr06Wl8Zxnx2gD3JcsiwRzji7PQ5nuPchBuBt4c82/eJyKPTEk4HkXoDQclaMxjBhsmJJesm8ERJ6wAFtluTQzhjBJVDHONg28DAg0qUmgtAUrt/6O/1rAK0/+SsJb7Nbp121eAPXLlZXNmwxt477eyVu05qvypCJcaMa1OxTwgFSKXaXCkIGzpdflIUKTLz+N2K8MpyDipioReSe1a6wRXK50HFoISrncQTwN6dRGBJcrrDum6PPv1upcoB06ich8b3wbeF0kIM8F8e7kvj3leEkJPMNdS+uOqehdwUYzN/p6q/rmIDIzz75cTVomME1+d6hdGEbq6Peq3dpE6tOQo5BLavx1jIrKNdyTlUqBWHRSdlDRb84mNhFmR3g7cqlu3/QC4DzgsV14We4ak4vu/l7GqG1X1VYq+zuCcj6E1DLUzIzQJTIvMqyoV4dT+NP2lgLwWyfvh/u9G96FM5oGOLZlba3FLvajXQ0GaGCJXUbOHVG0i6VwxLV5Zi2OjA1NC5iMeF+BW4F9E5LqY2oxT5Z6bxneWxjxHCaEnmA98KWZCbwLeGrU7FuJWtxeAb82E0LXMiaX258i6mxH/6CY4R8yEClkVKDmQ9qept20OwFUsQa2TVq2uA6zgDKbH4vf1hGEEv09oy3tMt267HbgX2AX0AwOAlSsvOypZ6dZtTtRum6KLVdmk6EWq+hIRnqfIYkBCITcq+BoTkdcfdgzN6RyOGApBiVLgoRreSlsm8iCInOFGhKgFHqa4H9/3GHTa8TFVBzitxrWjYBYP187liUzmPRExPQfsjK4ngXtFpC/m34oz29V0CH1xzOPZn3BLgnnA94D/y/QzNo6F94xF6Kq6GXhxzP3/wWRjzyeW0K1KkNtP0DyE29My7d5YA92N8EC78nDO5x37HFYMTs00pw0BnW98iFJLN9gAVR9VD6s+asP3an3McCtrf/463N5xNYwpYFN0/TZhaFBXdO0DntGt246W/MIBzo02vI2CLEK0WVRSWtYeiNbpCioV42I2QWt0XMi56dDPwPoENkCgXsUe1ErnYb1zvEG0eJiSpMk7LRXPdlQRreVtxV3ZVSuhHw+krsBQdJDrBfqiqydaC0cIw0SOAIciMjoQgxp9SgqfGNtqmMZ3WmMeTxKDnmDOISJ5Vb2GGVZNG4EXquqZY9i13zULQ/jqdL7kjpZqFXUG8Fbswe05Y8oN+q5waJHhrhUONzRaHsRnaQl+M2dZPmimRG0qik15WKeEGj8i9CLWllDjodZDjYd1XALs6NPJ+EgDK6PrDODV01o0kVV5pGV/yocf69PftYNUpoXGlhWTaKdaRz1lXFSVQIN6B7hK5bRQOtfo78zwQQIvj5dej6duJJ2HzUmt1qMhQNoPjBzUXJD61yNJ2NYMVKM/W8JEJT5hacby+1JEhMVIVVV+HY4IfDB6zYss+JD6OFXu07HpNcf4+0pYCCRBgvnAl2MmdAid4/50xN+9Lebf2A3cPFNCl9rHsLj4GTK5LZjhyeWmKGYMe5enuXV1hpsa4Fn12VDwuKJXeekBZV2PJVDBNZOPpDFDLu0/egFFt4RvA8qJVOqsuQr4QtDjEDg2NAEcQ7BBkZ6DD9N38Fe4jevInPwaXDczwQ4ZJZOpiTmXiITDLHBROtca6bw2E5yvBksLw2ZJOJeRvVw0NA9UXNsX59F018iQtbnAVSJy6wm8CcWaKU5VnSkmdsnG+PtdU4mhndQJIaxklSDBZKT0B1X1QeDsGJt9m6p+VEQK0Xo8i/hjz6+aruAxSqi1SreDloLs/kxx1T5yOyYuvBS4wpObGrlhXQO3NrocsQHPyxf50BGPC/fkWdoT4AZh30rio+hRa3rXItWdQ2yaUuDhWztuzLtHGHKVcVI4xpkVBioEhqIVWlJBLO0HXp6+jvvJdz6Em2mjaflZWDFVZ4bxZB5qQtPUVmzl5eQxdbHnga2QulolyKyh4CzBt1JjO9dKPvnQL05x13WgFPuZe5X7iR4iV4y5vSZCs8K094QZ4NAszE8m5vZ8EhzP+Arw7zG21wa8Bfhm9Offjrm/SqilnBZGh635dn/KcYbBZoorHiNzYM2EUnoha/jO5mbuzrqcmS/xvoODnPncAG09HsbqyNM1XhCgCinHmXRSlVRE0IKPp8G4tOKrhcAjHX0nTgwEDr/obqSjILxl+SBL0jOLhAtKAwx23IPX9wyphpXkVryIVMNifBtqlUfOj0ZSeFhBLfRmDyI7eRBdduRrRe2uleIrguBIGotPoLYqkdf8miwbxlmyE9BD80CwCaHHi8YpEnqcNvTDszA/uZjbK5DgeMZ/A5+NWfP0nhpCf23M/b1FRJ6LjdALRduXyzidoiwKcnsprt5L7tnN4z9dQwFv3NnPq0U5ac8ATX3ehIm/RRgzrvyoHTVOGP4VyIRiokT0p2hszmh9gctN/U3cV3BZIx6BnZmgaos9DB++G5vfR6ppA6ml5+FkqvuoH8X2p42LiESe59RUUQulcW9lHq+xgD6ZIQj8CplXJPKgpuCK1colQEpCwdtXDSvZUfYJUNyT9mFSA/iBPMPcq9wTQo9fQp8K4iT07lmYn7jj5IdJcNxCRHpV9VritXNfoqpbovX9wpi7fNVMvjyK0J/eOzB0wWntu8XoZrAUVt1P+vAKnP6x9wWjcPZTg5SC0NN6vB1aKolVpp4lrQxHDMZNMZn08SPJXKfJFL02xU2FFh4NXE7KlnhFYx/NTgnPOpHpYGraFFs4gtf5a6TUhdu8BdN+FuKOdka2qvga4EbZO0eSuZ8rMfTqZ/DbunHWrUF/0U7Qo6G6PbB1TnF1pK4WbGgzd8WJFOkhqaNg1g/gLt2BEVHf2meY+5SvJzqhl2Jub6qEvijG3+6dhflZmRB6giniK8TvuPYe4GHizao4AFw7kwbMSM57/V8/VrBqH68QS/oww5ueQB07QSNCxrijbOMSJVZxjEMqutywStq0pef6HO7jX5Xd0YVn25W7VgZ4U9TCd2uam/w2ntYMm9M+v9Xcw7JUEVC8SkraKUjr3gD0/hpjBzDNp+IsPmdMMq9NRKO19nJbVq/7BKUA7U5jnSLeuU/jX/4sdl2+SubBCDKvKbiiUVpXUUhhcMt12Vs80qc9hZPKI0JpYNh/fMT6mAs4J/jmEzehT9XTPU4JfTYIfW3M7R1J+O64x62EuSPixLuA18Xc5rUiMqPUz2YMyUiKnv0lVI3VxfaHKK3ffTTVRiVlq4jgiMGtELmLE5ULHUXkqmC92O9gIS08tdLhP59n+OAm5bPLAg432El/v0uy3GIWs8vJsCVV4uXZLhY79dpQP8pjP1lSV5OB9DK0+Qy09QxwMmPOoxPNnyF0XLORw1uZzP3Axx+0yLUrsHesxxYMdsMu7O88hr6wD5XRRB7mZ7fRazTvVO3nuErq9H24zXsxoZL9yL7u0j5GF2eZbbgn8s4TebfG+UBMldDjDFubDUI/M8a2euY4x0CC+Xumvhpzs8uB3425ze/EvXkqQFd/6bFc2jlkjK5CFEyR/Nq7cfoX4Xa2TSg9pxwXY6PCKRxNta5ofi8M70Fanw+pmQsHwznDjuUpfrbC5aaMpSfwOS8f8OpuaMwHqB5d3X/E5LjdbWe/pjhZ85xvO2kZw7QZFohh0vp8cTIErWdFNniZkMzDs07kqV72ZA9CD3Y/spdrEbi+ncJ+xXnFDpz2Q/DaHnTpSXDDYrRfwqQxtpr9rXKIGhH6557aSXrNYxgBMRD4+sSP7+vpSiT0eUGR6Zc+HYmpqtzjdDrLz8LcxEnoSRa7EwdfAz4d8/4Sp7q9B/hFnIRekcRufrDz0Ntevma7iK6C0InKprsYOvkemgsvPUrhFqqx5hVJcGzYYg9B70MYSoh3EmYGhJ5vdHhmTY7r1+S4JQNDvscFg0Ve1eHx/P0erUMWUSiZMBnLeIVkAoTtqWYOmzRbvCHODQ7TNA6ZV8wHU3HuczIgQVjURquMKggOEtmytSKZV6TzSEL3y5J69CpWcX7dzNDBjbivgczGfchF96NLN8KP18Mut07VXrkfNbfFPbmHzMkPYxwvOoipDhXtnVf/Kh+MIPO5IHU32XsoToOI45LQ4/QGjtWDXMP8xufE2OTOZKmdMFL6AVX9GfF7pceF6+LI2TBmLvePfGmX96aXrLy1MSsvFawgYcEOv/FZ8ie30vjYC5GSO4ZsP/n93vrDFLsegFIf0vw81G0lFfjRYUCmpODtW+Ty5fOXcFOjS1GVCwYKvGrPEM/bm6dpMKjzuvcjIk057phJaByUU7xesqbEumIPDXa0SdOI4BiDI860KsyVDzxe4Feq1DlSJfOgQuZBJVlMYKtkXrGlR58xCtnnGhm4agOFV6doOns7suVh9FWKfnVTaJWtyddee8hyT+4he8YDmNRA5KyogAzs7izcN8eSeULo9YQeF+aT0OP22D8nxoMOhE5NCU4cfHkBE/pPZmvzFIA9HfmbT1nX9MfGOEtqU40W2h9ET3doevxspOiO5vTqcXqCk3bAcNfj+EN7cBrWIo2bEQyliOBSjluTFv3ohOn6ii9wYd7jFbv7OXnXAI2D/rhUVI7hNs7YZUzbbYkmf5jA+uOQuVMphzpp6WJErTJHBKISsYIgChZbyepWTg4T1ErkEYFXPdmjDHBqMQpNfTny31lDz7402fP3UHikkYZigBtVUBt56KqQebo/ikRQjEDRs4/97MHevSNu6VwRezrZd+Y1n3uc8x+3c8xvxNxeQugnFq4jTEW8coH1ywd+NluEroD50k927/mH95z6YDYjr0QM5bSrQkBx8X1wutL42NlIKTVOFbTxOaDQt5vh7kdwUs04rWeASVfUz2F9dUiXE6toTcGTcfizYTDgfb86jBY9soPj7yES2fSPRsYCpI3Bx61I9FMlc63lQK09zCjVFLbglB3f6mqYjyTwKsGHceZlr/fyASD0hBeFBpvG3LKMgXsa8XuVQAs0ORncsjZCxyZzE5G5QHCo17vuylsGi/NA5gmhx0/oU7WJx+n8GHce5jcmhJ5guhARX1WvAj6xwLp2d1xVG8d74PSa23q9fYeHr1UbeKFjlaWcsEWxFJY8wODpD6KpUlWNW74igql4WNdcxXwX/R334FuLaTsLSbVUv1eWZSOC05EUqWNX5BagrT+gZXjsZDVhdrSq171rnKOmnxWkEmonUfy8exQy14iwtU69Xf07q7bq6FYpcRqq0j3fx/c9vOjyoz/7vk/g+wR+EF4VYq96slOTDQ5VMuKyaKiJHGlQpRB4YS581dCb/ZwDZM64H5Pqx6C1ZI5v9cBtT/bfy+jiKHOFVLL1zCuhx3mvY3NAUtVVwIUx9m0A2JEstRMO/8XCqxp541ycoPXG+488XigF24mIiIgwQsIKKC65n8EzHsJminXhUVpOKRqRe/nyS0N077+b0nAnTvPzMA0rI7YoS7JhghNHpFJwRCNi11HEXk/wIQG7pGsc3uqJ3K0QuZlihrowHM+MSea1h5XyoUSpEnhVmg7q0rT6gU/J+nQ0KTdsgl1tQUTkZTKPSHxkBrio8Eo1E5xWSL3W8c1BaHIy5JwURoRALbqoQPrCZ0lvfBDjDEZqdipkLoIe6fdu/MT3urpqzygj3s/2w5BI6McPocd5L6+IWXtwxzFQeS9B/FL6TqZZyWwWcUNcDY2ncldAPn3Ngb7fOKtt2ylrm08WE33WhGFNikHEUlxyP/acARofPw+np6FG0z76Wenv2cVw7zOkWzaTbjs5fD6tlou2hkloIm9vKbdRUwFMZaxCpbVSu+CKgxjB19A27RgzifC5o4gZkcmhfOjQMaas6jwepWllZCKXquYhMMqRdodfrU7z8xbhUQL+0A14S4eP+LZOpW6j2PHw1Yaai3J8+QhNCHXe7OFpLWNSBBoga/vJnP4UqaaOkMClnL89TF8jovhWj/zy6YGbR5D3XEvomWTbiZXQp+rkFsT427EkqVFVB3hfzHP8i2SZnbD4MvDyBdKXfuDe2Sb0Cq6949C9H7wss6sxl9qMlKXuiGcjr2iv5WkGXjBAw9MXkNrfXlU1j2gu17iK4tILyLWsw5h0qJoXhSg23FQ8vanJxV4WwaXOVq8VKXx01x0RjDhUE8AKk8oXOwFzqWPRdIAZTtUReG1J17LKvVxEJXxbJV/fgcPL0ty1oZEbWl2elIA1hRJv68xz3nMDeAUfAxXCtuVXraZtDV+1rt26sDRGeLI3FcmcchB39dM4qXyFzI0QZaOrHpA6eoq3fvCbRw6OIZ3PJXLJfhNvCdUpfn4wxt9ui6mddwHrEkJPEBO2EWYIXLoA+nLnFMsbT4nQy6FrAaHnXfDvP+nse8U5bT89d3PL+43jpgXASPRBCUV2lCB7gKHTbyHbfA7pZ9YiJUONzBo6mqUaaFt6Jj5RxrJIAhdRDE5UIIQa1XVV8s4bF1eVjAaV/ON1nxkhvdfbx6dL5orNBBTX9NF/yjOU0v2suPmluL2ZymFFtSyV15J4veTsO3BoTZZfbmnjpvYs27GsGS7wjkNDnP90F0sP5JGST9FSF75WJ41XbPBaQ+ojpXKtVGUjHcCqHlJbnsFtOowxWkPmUpXSI0m9ULIHf/ZQ3+3RwGvt53aOyb0h2W9iTf86VZ+EOAl9xhtmVP/8r2Oe307gkWSZnZgQkVLkHPfRBdCdW+JsbCKVu42I3X7+h3sf/Oz7tjy1tFXOrBC0KBhTO0sEbi/5TXfgLTqZ7BOn4XQ2jiLLlDiIgmdtmExcBTFR4RZlhNQeHgUKxuWW3EpUlXMLPSy3QziM8H5XHZuYj6ZqH0tyFyVo8Shs6qLv5KcYbnsa3zmCDLdTaD2bhp5UVSqv2PlHOwCqtViUe164nKtPWsxO17CmUOKdB/o47/EOFu/txxSDioe7quJrSOpOWVOhkZpdddRBodbhrkLmxqJL+pHNz5BqP4iTCqrSeEUyLxN5pTpd8Pi+/A1/va370BhEPtmzUFz2zURCj7dG91Tj+vtj/O1VMbTxt8D6mOf3h4n9/ITHl4CPMP/FoG6ba0L3f/FIIX/dPUd+fvlLV6zPZZxWFMSEGeTERJ51akAsKiW8xY8TnH+IzM4zSW1fgYyoiuIQ5hf1bIAIOBqReURYZaldNSznGQhYq+yVNAdTSznNy3Fm0EsLpXHuRk2I22RU7WUydBR/WYHhUw8zsHE7xea9WIYw+RYa91xC9vGN6HM5vMDHiFSI1NZIybZOHR6ScXq4SENgeceBbs559ADtu/qQol9H1nWkDYQlbxgzUqDONl/uf8rHtg3Cmt04S/aSypUwpl4aryNzqZ53Ovu97f9546GHx5DOJ6ve8InPOz2R0OON356qp3mcNcw3zFA6/03gw7Mwv99KltgJL6U/q6o3M7+29Dzw4GwSeq0TlF9zeZ+8umP/llW5X15wasurBTWRDImoggmdqqSiNDcEmU6GT70db8VGMk+citPRDLZqsXUkLKlqQ4EYUUVt2AURCW3kkaSe0wKXDOzmyVQbjzqt3GMb2eGnuIB+NplB0mJHSOJlA77UcfxEknmwtMTAxbvIr96Ln+1BrYfTv5TcjnNJP74c50AO9SAgoIDFldDrfSzJ2doqoasqJz/QwZ89e5jsoUEoBlHo2hgkDZUZLP+57jOMrpimuRJBey92xQ6c1g5SDQGOKxWpvJbE69Xs4WvRtwM/vK/7lp88WpxJ3HkQI6E3JtsNNs69a4qf3xfjb29W1ayITDkFrKqeDHyf+HP7HySsvjUjqKo5Xhbb8TSWKeKL80zo94hInNq4CSX0Mql7hE46xS9et/+RdUvd05cvzq03NpTSjXGwqiFJmDDHeSiyC4iH1/YswQUHcQ9tIPPEFkx3DiLpWyTKmBaRX5lpKgVUJGxHRGjE5/l+B4u1mwfNUnbaBn7gtXIqGS5K97E0VcLUOtCN5KVxKSokRq9tmMFNz6Hq4x5ZSfrxlThPLkK6XLBU7dfRYcAnrCde7b9WJe66KmcWx1PaBgJKfhhzbscIdSsTuajASPU9Wq9mR7G5Iv7STvxlz2Aaukg3KG7KYEw9mUsNmVOWzKXibmjvfXbw/r/6QdfhcWZoslJ6nIuymQTzSei7YtYOvIgp2glV9fnAz4H2WZjbb4tIHPObW8D3/EQey1TwQ6ADWDFPv//LuBscj9BtdJXJ3AMKNz9WGr7mlsN3/uGrV7a1NNAi1kEdxagJyb0c04YiYiIveLDuIN7qx/GXHCR1YBOp7WswPdnI8ipVD/aKLlirYiSCRiSURlilBbKFnSzTFh62y3jAT7N9sI1LcoOc2zQQ2tYnEaKmdZI8OM9lafj1KXA4jXmmAQYlcui39RIxVRL2sZTz3I8KIxvxHrU4CIFWvdjR2tqkMlrFTr2t3KZ8/EW9lBYfRJs6MLlu0jkJidypSuMVMjfRnyMTRJnUy3HnOw4V9nzupwefHfEgTidULU4VcRMJ5nNDfCrm9t4zFUJX1TcAXyfeuuy18/ofC5QEC/N4z4+nsUz+pCviqepXgP9vnrpw52wSeq1jkxKqUYNosx6OrsLnr+vrWr80/cDrLljy4nTapggcrDqh6l2dUPWuGvrLlUk5cp7TTBfFjd14q3aQ6thE6uk1SHe23qAbvdfou0KV2BFIYWh3XVJeF4ttL4/b5TzutbAX4axcUOVyOYpwUuclrzAIDTcupxR4BFF+dK3xXC+Tv6CISkTCimowZhjZqEx5Eam7KpV8OxVv/JFOdbXe8igqluLSLgrLt2Nze3HTSiZrcNORRG4Yg8ylzhlOymQeTXPXoNf/lZsPPXnXTj+omSiZpmQX5wOcSOjxRhRMta3HYh7L76vqdhH51FGIfDnwj8C7mT1HpR+LyPaY2srG3Lf5JMHjaSxTxZeAjzP3ZZsD4K7ZltDLpF7rFFeW0guERvz85/+nc3d7s7v44tNbTnddNSHZhap3YxxAQ9t4ZAcXFBVTiSvXTDelDT14K3bidq7F3bEGc7gRfFNRB1eJnXrCB1wRWtwcaSnRxF42aJYm45MvGRrdDEbMpPa52ljycjIcF4mKtwSRs1tE4lBH5OVYb1tL3HZsb/SRl6mNix9F5tR5rasqpaXdDK27AzdbIpcR3LSDMWU/hHoiDwk+vKSGzMv9FoH+4aDw7V8e2fG1OwcK46hnp7qhDhBfwYOWhM9jJfQpSfsiclBV9wOrY+zD/1bVS4F/An4hIv0Ria8BIOqbZQAAIABJREFUzgd+G/g9Zj+p0L8kJJgQ+oj1vkdVfwK8YY5/+iERGZhtQi9vJrU29FINoReAwu5uHf4/3z303Ir3OYu3rG5YaRwrYiyiDqgi6oT2bDHlwPKKF5aIVE8NmW681T34y3dg+pfj7tqA2d+KDKWqTm010nmZ6MvfzxoXN2XISpFCUGKoaNAgoKGW1GX06HQEiVcF8Chtqgo2spuLhirrWiIfRdq26u2uozzey8VY6iVwalT4tU5xdZ7rKOpYgnW7yC3ycV2nznO9bC8XAadM5I4gEkruEBZdoUzmCCUvCK5/oLvjb3/U1TeCOMraf0OtJaA2um18LMRkJMcy4pQWpnM4+BXwlpjHdD7wg2iNDxOmhZ1LqeguEbkjxvbiVlMPz+N6O57GMh18YR4I/bbZaNSdYBMoS+llCT0fXUNA8elDNv/P13Y887E3r0htWZVbapzQ290SSeQ4YdEPo+FzW5s4vMwZZecsd4hg8XME7bsxp7VjOlfh7FuGdDRCIVVhG1ubHS76nwM0OWnSYigEHp7vM6yQcdzQ636Uf1xNvHpNitpahzNUMQpOJNtIRMpWy5+LMrah40rhI73XbV0GuXoyH4vIK0qAnIezqAtxpUrmpsZeXn7vmPCqkcyrTB1qGIpeYK9/sLvzk9852D+CqKVGM6NjSOyTkdDjQisJ4qwJP50sVDfNAqHPJoFM5lDz54lUm0joE6z3p4FT5vA3b53rjaOscg9qpPMhauzptz7h54WOnX/xpmXOyasb2h3KZTzDC+MAYSIZMRo6yakgJpTexVSU2ZGtXLENR7DrjhCsScNQK6ZzJebAMuRwIwyHHucj2AoIbeuOSYcpY1WwgUXCD9cRudazeQ2JUs26FhGs1EjajGXfHiNX+1hJZqqEPdq5rqJipz4PfKVzjsU4FjFRFjlTL50bUyZzp0LmZRInOlwJStEL7HX3d/d+7L8PDA56dd7rMoGEPllSj5PQ06raICL5hNBjwXQiEK4/zubzWyJyT8xtLj+OSPB4GsuUISKqqp8H/n2OfjKYawmdERJ6KSLxMqEPRq+lW57wi1YPH/jIm5Y5p6zOtRrHqbEvh6QlxiIYREzFKxwT0o1IpTxIDbGDmhLS3Ilt7sSuTyGFVmSgDT3Qjjm0CPoy4JkxLYSKTqhnVK0rUD6K1GtJmHE8zicKKav7d6n93jhEPtJBr8YsoE0FTGo4InDBqVO5gzEGY8LDkRip2vfryVx/fF/X4MevOTg06FUiGJTRKvXxVOy1EvxY6I55XS6OtEEJoc+DhB7ZFe8m3nKl84U8odNT3Fgdc3vzqaY+nsYyXXwd+HvmRkN4X9mPZK43jpGx6MOEqSFbawi+4bYn/aHg+4cOfOzNy8wpq3PNxqna061ajA0lSDGRF3zZE15DVlIxiJowPl3KxB5J9AiYEtrQCQ2dsBys1wDDLehAI9K5GO1sgt50KMEHMop26kuvUieZ10rGjKX2Hvl+JLlPII37K7rxlu9GnABncAmyZwUMpcYgcq1VGtRrE6Ic7CGZh45wJor3Dwldovh/jUwDZek8fC2WAv3xfV0DH7/m/7X35fFyFNW/39Pds9wlNze52RMIW4AsBBDZwy4iIjwWxQUBhbiBvN8PN0RBQUF/gu89iOJDZQmg4A8UUPadPBBkCcRAWJMACSHbzU3uzV1npvu8P/r0nZqa7p6euTN3Sfp8Pv3pmeru6jrVVfWtc+qcU2u7O3NFbmlqeFfSpHQD0dbPAXejg2rSeACrY0CvClXqUnjbNgLo3yGiWrSlaoPghiGso22Jl0ql9E5mvg7AjwbhdY/VKuMoErojoN4nAL5VQH0rXBejHgDpZ9+2e+07N6w/59jm3MEzG5uTFpMLMAYccsHdMNgTKwW4PeM5ORQp3Y36qvhbqciT6AISXaAmAFNXALYJZOrBPY1A1yhgUxN4Sx3QY4I7kkCOgF5D29VVsXJXVe7QQNwP2P0M2QqkbobT0oXMns/ASLa7ADyJgOyxcN5tKTLM4+JpR8Emc4YBkczRv45ORh7Q85FuC7cu39KZs//2QmvnL+7Z0NuVc+Pyi8SmA7tfAJly1O7VBvRx2L4pUcW8KgX0WwH8AiPbpuE+Ivr9CADBLUO8xLQt8TIQuhrAN+BqCGtJDw82oOvua6qE3oO8cVyX/E4DSDy/3LbeW9/WdvHpNo6cM2p0XcoyANM1liND1tcNCURjiEreU8WbeSt4Ix8Fhb09uymv9WXdhst0gLp2GHXt4LEE7ACQYwEOgTP1QC4B7m4AOQTe2AzOup522JwGe7vCKWvXvNWCs8UqMpTT1eTF6+P5iQKnMrDqukGGIbvJEXhsG5hbIgF5fuYId093w3Et2UUyJ/E1B+Xd39QcWzsy9m2L1nde/eDmPuRtIRztCDKCIx9QD6PWGkjo2zNVM7hORYAuEstvMXRBNwZK6wCcW8P8p1Qxr4+GuK62JV4GIqVvYeYvA3gAEu+0BrQJwL+GSkKHItVl4Bo7bAXQLtJ5I1y/Yc8NJbFuKycuvmVL+wWfydinHjymeUxjwmLHAZkGiEwYMOAokrnDhuu7ThJ1jYx8XRK5m76gcEcRCtjcqwAgjSxgAGT1uV5zo8RIbLIiiduW4KG6hzjD6atH5t1dkX11PJwe6gdt/axK5Oo6PLPrpmeYBohsmZAANPYjoGlHcHsSxUZ6/twY9RkYpoB6v7rdU1yok4F8ud7f0Jv97UMfdf7lhe4slHj8ypGDskWuBuxhUjkFlHb9MB5gRiJV0xd/IAZKVwP45iBILNWmbgAnEdHGGr6jmm10zTYE6GtGcscjooeZ+UwAC6usKVO1Rnatyh9lrc6T0j2fdM8orlMB95QcSQCJ7hyMX93b3b26NeecfcyY0TuOT6cseAZiXqhUV0pnMtwwNOSq4sEmwA7AJKFjWYznAMBwMd4THCkYefwBMq9mJzBg9PUbvpHnKw+Gke5BanYbaNTu6HlqF3AvFUngviDuvYldOwHTNODuLSex7hs2wtp1I7JLJoMdCo0vDwDUnEVipw9gmCiI9ubaGij3Snl6Mw6/vKKz99r713Y//15OBe2sz5FTJHcb/qXRI8cFlfjDYTzAjESqZrS8ngEMbu3M/F0Z3EYK2QC+SEQv1fg91VwWGmqpdlvipRqgfjszvw3gBgD7VDn7u2tZ9qjGN7qU3iVA3iiDT4MAuqUcdPuzGbyxaqN99idGNRw+u7FhVJ1lMhuA44BhwoEBggGHCSAT5BDIEFczprxVPPJhYJkU2y1vM5ciUPcTJFnbYU1ZPuZCCd2zbLemvAOaNh72u43FlvD9WFoouXtQT5Yt6naj39qcCEju9m9wzkL2tfFQULkIK2l0FskD3oYxam0+Po+wzRDfeEL/RGPtlkzu3n9t6l7w0OZMV65AAvcAPeNzZBVA957R90GPonZfVeV2ORnbNw0LQJfB7RZmPgHA50ZAvTGAbxPRP0bYN1qzDbW3NdtCBySixcz8XJUBvRM1NIiLAuiqsZQXBtYLAetJ5w1wA0UkJb8E3AhQDICWrHJ4yU3t9rlH92ZOP6x51PQJ6ZRhululEhgGOSDbtXAng0Bsi2ubIQFSXED33NtchDEKwNxfWqc88Gq2X4ULxKxYtWsATzlQUzcc1CtL1Hkpnwus5rlAYDbGt7v+4/1lFuc8qxd1MxfDHLUn+t6aAt6ccC3zPUo6MCZ2w5q9HGbzBwUu9/1r7JSfoPRmHX55eWffTU9u7H78jWxOA2g/MO+TI6NJ6/q6OpfR+NuYuRPVW/vd3oPLVHML2a4q5PFVuEE35g5zyXw+EQ2WNmFDFYFwqD06tiVeqjMzdPcWOKfK2T5UyVbCtZDQVeO4rALo9XLUaRK6qT1r3fhkHy9ZuTF71tFNDYfObGhoamSTIC5rcFzA9gzkYHt7sfaDugvohmzElt+VjZW47SpcU8C8JK835gJAV1XXqjRPTVvhYGx/jp6hHBBiqZ52YLZsAFE+uEtBCa1upHZ6BebE99G3ZSycrU0u5BsOjNFtMBpbYSS6C3aB5f7t4d2X2cxYtzmTu/fFzd3XPdze15XrXxbRwTyrALmnYfEMHPtQqIavGNSlI8+sUrtMYfumripOagYM6ETUxcwnA3gBw9NgsQ/A54no74P4zjcB7FqlvJ4f4vrblnipFl2I6kfQ+0utCx11DR0o3KzFk9LbNUD34jObGhjYAJzF7zv24pu22F84pLv3s4eOHrX7lFQqnbIMF7sNgJz+bUQ94zgPvF3vLAN6fPd+OZtQIHcDyBu8KSK56x0nQKvsR05c6PLlScLmuDWgpilw2q08QwRNg19oqW5O7IZR34pC7bWWPwCrrhVGsg3ZFoLNebW83+6vqq/6lq6c/fKKrr6bn9jU8/xKW5fKbQ2kdcncA3MP2Hvleg7FavdyQP2dKgL6h9i+aX0VAb0qdUlE7zHzUXDDZE4aRnX1PoAv1CASXCm6B8BnqpDPOgBLh7gOtyVeqiGdTwZwXpWz3QTg/uEA6FAA3RCQMAXQEwLmaQXQDRQuYjuSbsv9zl+eyzhPv9aaPfmgVOr4/ZoaZkxNpS3TIW/jFlfFLqp2wzWEsz2QJr/AZpAgNIUSeqGKGv2q6rzzmwfq3mXdZwyguo9gzWhF3+KJ/YDqzh64aMYDBqjBRmLWcsDsKlSPK4DOym/DtJEgE6bjgro6AdED4nT2Os7LK7p6731xS+8/Xs3oRm1+1uw6mPcqRzfyboiepK5avTs+k7owehXV2+Dg1e0c0F8AsHuV8nqjWoUiomXMfDiAJwDsMAzq6c8Aziei9iF4911w/fQHGjb1GiLiIa7HbYmXatCvUP1tnO8gokytC05l3mcImKcExJvg7o41QY7xcm4WCaNRAfyEHKrhnDVjAlmfm1efPnpuQ+PkMVYiYXmRUiivclfhtn8tXY3nLkZ0AZwFW3gpoF6wBt+v33bvyo5Gz9L9kXtzjAvojgvqrGE11dlIHLQCiSmvA2Qr84hCQC8OAgM4jgkwwfGi0FHe67474zgr1vZlHlzc3n3jop4sCuPs57QjaM3cD9C74RpqdCAfLMg7dymSfNZHctdntXsDWFKFNpkDMJ2IPsJ2Ssx8BoA/VSGrF4nowBqUbxLcSHKfGKIqehuu8dvjQ/ydzoIbMrRSWg5gXyLqHAZtbpvhZYD1cBDcfcqpyll/nIgWDxdAV+81BYxTcI13mgCMFSAfJ8dYAfTRco8qwXug7p1NAObsKWQduVcydew+oxp2mphIpZOm4QnjxCgQswukcU/tXiSJaxbkHuhy/jECB7q+kXaBs83IvLsPsu+Og9NhiQybv4fG9SIxdyWsiW/AczOkAgAvltT1KQc7Rv+Ku+Mw2rtt+5UV3T1Pvb41c9/iTKY7VwDktg+Q+4G5um7eqx2dyNtDqK6IXYoE3wd/VbxfZ3gKwJEDbJN/IqIzt2fxnJlTcFXJA1Vtf4WIbqlRGQnARQAul349GPQegCsA3EpEuWHyra5DZerZTgDziOjfw6jdbTO8VMh/PYCXUb2lQ49eJaKPDQYPlQA6CQgnFVBvFhBvESm9RcC8Wa43aoCe0IDdmySYY+tgfnq/RPKovRrqZ09P1Y2qN03LQNH2agxFIie/IipPKO5llNevu7BNftI7FU0MXBs8E3bnVGQ3j4ezaUy/pZoxYSPM0etAqY35PHzDsSIYzN0Whb4scWuHnXv2zc6eZ9/o7nvotZwKpmFSeZhk7gfmvSiO+qdG/+tWpHNPQucSgL4HgFfg2lVUQq0AZtU4IMhIGVzOg7tPc6X0DIAjaq0CZeadAPwcwJdQu+hai6Qu7hkuQK7wb8DdpetbZTy2DsCniejVmJdhxf+NqL5lOwCcTUS3DjdA16V0E/k19EYF1Mco4N4kR4MM8n6grqrhTeVsHD3LTBy0RzJ16Ky6hknNVrI+ZZhEYUUvhNBi6Ttvnq5K+AXRU6hwUkCkrJe7UW3AbIAdwGFtGkGaOr/fkkAfUwvX33M2c0e3bX+wMZN5YmlXz/NvZbNL1ziqK1kQkKsq9mwImOuA3qeBugrsvQqY+62thxrKiTX0X1C+pXoPgOOJaBFi8iTgR1GZWnuFgPmaQSzvXgDOB/AFVMeg7zUAdwL4byJ6dwR8r8/CXYeeEXYbgJsBXERErTEvw4rnrwK4qQZZr4O7hJgZDD4qBXRSQD2lgfoYOZrlaJJrnotbUgH1pAboCQ3UTQDG2DqYh80yEwfsnkrvs0uqfmKzlWxIuuDOFbFRLNQXObt5av3+69q0gN11ey7YSaU4tFoQkLsg7tgr12f6Fq/o6X3hnb7MM+8UgbiDQut1P6m8lGSuArr+Wz2rBnLeWbV+j2z5zsxHA7gd0Y1sNsGN7vUYYlLrsRluIIqPl/HYEgD/g4hWDVGZ6wCcDOA4uMsv0yM81gfXeO9VkcafGMzJSJUl3OMBHANgPxkHCcBKuO5cdxDRBzEvw47XkwD8DdXd5dCjnxDRzweLFxrAM17QdQvuGnkdXMtATyr3wN377wF6OgTUg6R1FdyNw2aZif1npNIzpiTTk8dYqeYGI2FZeRv5aGyycpV81t21f+RnZSegXpBXUKMB+rKOs2mrnX1vfabvzQ/7+l54J6ODuC6RqyBuK9JyEJjrgWN0IO/TrnsqdVViz6DQlS2rlQ2IYPXOzGPgrnd+BcEq+IxIYT8gorUxhAeC+gIApewKuuS+ywZLGohY/qkAdgGwE1z7Gs+sdAvcqGKrAawcbqr0mLab/vVpAfN0DbLvALAzEbUNZ0DXQd1TvacVSd0D9tHK70bkQ8SqoB60rh4E6qY3mai3YOw2icwD97BSs3ZIpiY2m8kdxiXSDSnDTCXIIFI06GVVBoUgM5WoQobDbnTb3iw7HV12dlVrtu+DDdnMWx9mM8++mcut3sKOjySuA3nQWrkXU19Vtfeh2BCuzwfcM9q9YUdWk879nOqjdJgmACcC+BhcVycbbmSqxQAeIaL18bASqR4PBHAWgKPgbneZhLtt7etwVfO3EdGmuKZiiilSf0oBuBTAxaid7cflRHTZYPI1UEAnDdQ99XuDALm3I1uj8t8LQpPykdL91tUDpXUV3D2AnzGJzF0nG9bOE63EtBYrOa7JTEwaY6VSFhkNabIMg5BKkOkneAcyqtzEDDjK9umZHDu2A+7sceyejGOv22xnVm/MZja057Ir1tm5ZascWwNwP2ncTyq3NRDXjd+C4rMHAXefBtZZnwlC0I5slUaPiymmmGIabmB+KtydBHep4WvaRDrvGAmA7gfqlgLqaeQN4TzJvFGR4NModmVLhgC6Du5F0roO7kq5aMdmGGMaiXaaYFj1aTKmjzcTBhGNbjDMqS1WkfFWmOI+ZzO/tyHXl80x92bYWbkul+3Ngpetcuyszc66rQXA5yjnKFJ5DuFW7GGq9jBJWz+rqntbO6sqfhsDCwcbU0wxxTRcgHwvuMtSRw7C635IRL8abB6pSs+roOoBcxqFsd49QPfW0dVwsX4SejmgbpYCdeWsH0D4HuBBWK8DnB+Ic0SJvJQVezYE1LM+4J3R7slpQJ7zAe4gIK9Y3R5TTDHFNAyAvBHAZQD+A7UxfNPpHQB7DYUtS7WYU8OEZrRB31HAwjO2SsG1pPZbS7fgv55etgo+BNwrAfWBgrmNcBW738Yq+jkM1IOOnI/krYeNdQIA3IkBPKaYYhrBYL4HgL/D3S1wsOiCoTJMHSigq/HZ9PjfapqtgVJawF1fSw8Cct1IrpSkPlBQ13/7gbkfkFcimedCpPNSwJ4rAd5+IJ7zmVyoZWQfqTymmGKKaaSB+Uy4YVybB/G1fyOiR4eKZ6pyXoRCQznPTz2hSOGqlXtCAXQL0dTtYdbvUSV1HdgBPcx7uJTOAYfjA+hhVux2AOAGgXoQYGcDpPycz/vUMgWV2U8DgRjgY4opphEC5o1wYzLsOoiv3QBX1b5hqPiu9nqCutWqRxkfMMsqwJ3SgNxEsJV7KTCvNqAT/GO2lgJ0DxRtRF87D1O/50qk2yEAHrYm7qdZAGIDuJhiimlk0/cHGcwB4NyhBPNaSOjq2dCkdRWgEyESecIHwEuBuB+YD9RALkw6hw+Qh6nbAwH9nHPOSVx00UWHT5069YB0Oj1l4cKF358/f/4abfLjIFh1nvORvr1Dn1SwjwTut4TgJ43H4B5NKpgP4DQAewI4kIhWDve8t8X6imm77ocpkZabBvG1/5eIzhtq3qspoesDvoPC9XVo4GYh7wPtAbqB8tTqQVJ5JWDeD+hPPvnk3P322+9wwzASpmkmDMNIGIZhEVH/b9u2M7fffvuCs846a1WZoN4PvosWLZp1yCGHXGhZ1jgA6O7ufmXs2LHdANoDpHc9HGyQWt/p7e29IJlMns3MS03T/HIAkPd/m7a2tvrm5uYLiOgLcP0zuwDsTUTrKuhMJwA4HcAcAJNFC7MSwI+I6P4KO+n3AXwNwBIiOj3kvl0BXAtgHoCDiejNcp4fwCByFIBbAUyTpCcAJJh5HoD74Ia3nUlE2WrlPUwHU9/6H8k8ReT7dLhBSpJENHugbbvW7TViudIAzoa7L0eLCBfPENEDyj2nAfgegL0AXElEv9TyOALAGQB2hhstcBqA3xDRD2R3syeQ3267Ce7y62YB5H8CeArA3WX2m2MGGcyfBfCfw6Ed1sKE3zOUU0HcQOG6ra1InaacrQCgtkIAO0zFTohuEFcgnc+ZM2f3pqam0KADpmmmtm7duhZuAAFd8rWjSOuzZ8+e64H58uXLfzxjxoxHFMk65zcJCADxojXwZDL5dSKaBmCp5BWoTl+zZk1qzJgxD8og7FEDgH0BPFTGAHAQgIXwtyjdS8pRKV0AN9Lc0hL3HS8TCq/tlft8pXSCAk6fJ6I7pU5MGbA6KgHzsLyHKQXV/0jmKQp9A8A+cGPSV6Nt17q9RqE+uDvpjVfSzmHm6UTUI/9PB3CQ/F6hjAV7A/gjgP198v0AAIiom93NMPbUrk+QY47U63JmPpGI3opY7kMHsY7eB3DqcAm3XCufPD/rd780U5NEjQjSdtQjSCovuXZeV1dXl81mN+RyuTbDMJKpVGoXAMhmsx91dHS8bppmkoisq6666u2lS5fOmzlz5vxNmzY9NWnSpD9KFraPtF4E8qZpdnnvvOOOOx6Cu69wEGhzEIB3d3efmk6nr3Qc578ty/qxdJZeyTqDYD9yBoDJkycfoYD5IgA/hrv3dOQoRyKJPoZ8TORlAB6RswV3k46BbLHo8VMKFNW9uTMVPF8pqfk+oPxeLvX/Vg3yLvVNPg83ItbtRPTDQRpTguq/KjwNUOKsZX1slnNPldp2Udpgf08iYmb+HYCfKsnjAXwVwO/kf6dybZOUc3e44YgnSPpGuNbm7wL4EMAdyjPXKhOCO0VrwyIUnAtgNoDdANzJzHtH3A54+iC19TYAJ25P2z3rVu/eGrln7e4FnPE2c1H3VJ8o6topMlOdLmqbXeQDz5CPPlM++hwAcwHsLZLlx+DuErQ/gAMAHCgN52AAh8gszjsfKoA2D8BhcswDMG/ZsmU/ZqHW1tY75N6D5Tior6/vbWZm27Zb5V0fl3fvK2WZK2WbLWXdE8CM1tbWnzBzlvOUzWaziwBMEt69feXHKiopL5SuF4UvDSDtOM6rksdaqV+LmV9jZnYc5zaE2wyAmecr5TitgoGykZnXKnlcwcyJKg/GSyXvW0vc9x9KOaaV+3yFZfsWM2eU92aY+VHt3b+sRd4lnn1FaReDpab1rf9q8TTAstWkPpj5dWbOKfx0S3jRitt2QNpQfM+TuZhWiuYJzHytkn6wpN2opD0gthJB+R+n3Ps97VodM69Wru8cscx3cu2pjZn3HW6AW+uoObr6nX0AhTX1uJ8kbQakR/kdFDjG0LQG5KNdQCqV6lDU7B1w17f7+dm8efOfW1paztiwYcMNyrUgC/j+c319fYtW/5Zt2y/LzNwJyafIiM1xnN+bpnm+4zhXa89CVEGlDNyeU37Pgbv7ULkqw0ny+14iuqSGbaqUhJ0rISHWQkLfAYXrvwkALymSztxa5V2CrgfwbQBXDeKYUqr+B8rTQKhW9bGzjFFe37Lhbj5UjbadHeLvqWpcukSY2FlU7XdoErqnndhbSbuLiDpD8jeD2gsR9TDzBuSXZjojlrnW+7NvBnAsEb2K7ZB0qVCX1j2J3QsHW4987PdRKNyK1ZPgx4kEO0Gk2UmKND9VjmkycOwo0r137KQcOwcc/dfWrFnzTW9K1tHRcbXksaMcO8gxTY6pAKa0t7df7DjOqmw2+/Azzzwzp6en59psNvtoT0/P1ddff/1kAGPuuuuuSZlM5teSde/9998/7sorr/Q2r6mT+kj19vYe5zjOw8y8kZm7bNv+LvLGgkEuecTMyyTv36OEN4NI2N1yf9lrdoo0wcy8m891i5nHMvPOzLyrGNuo149h5gc9Hpn5Qp88VH70awYzH8HMlzHzs0pZmiM+/xVm/hszvyeahuvEuA+KxLGFmbcy8xvMfDMzz1au1zPzld63FMnCLFFno5j5e8z8HDNvCpLoSuUtPK9m5uvl/2HM/FO9jsvhmZnPk/S/M/MkZv4lM9/PzD/zyzdK/ZfDU5ntoiL+lecj8xr0zaT89wo/T2jPhLadoLYZ1l4rLb/cvxszXyMavHZm/rBE/mcq3/P7yu9/y/UfKml7SNp1StpaZv5cUH9g5hOVe7/pox1w5NqyqP1G2nat6E1mnoHtmPwAXTV+s3xU8WkF2LwNXvRtWZt9gF4F/HEa8Htn9ZgY8Lv/aGtrO9f7kl1dXT/V8m5pb2//Wi6XeyaTydwh7x9j2/aLou5+x3Gc9WpryGQylwtPddls9lJvUIMW/vaSSy5JOI6zQGnQ/R0pl8sdrNap4zhfYuYnmXmh0qjfkvt/V6LD7s/MH2jvODLsI/qAtS3PbVDMbOeCAAAL5UlEQVTSD2Dmj2Qg1ukUuYdkcCniUbYLRSl+mHm2oorUqSHseW0g1ulyuWe8T/k8INpXyeti5VuWApH9mHm9lt9tIfcH5s3M78u1G5n5diW/6cz8RZ92EYXn5+T/W8y8Trvnkkrqv0yeymkXgfz75OtXH5F4LfXNmPkeSXtMSYvadvzapl9axeVXljqy2j02M/+VmccHfCd1OW40My9X/h/PzN9W/u8uz4yRb6XS+8x8ITPXhaj0z2HmcTKR+7MyruSYeV7UfsPME3z4rAbdEtamt2dg1yVLXWL3iyxXp0nwnhTf4AP43lk9Rmtnv9+j9ec6OzvP6e+Fvb3fQ+GWsI25XO5PAt4vSNnqHcdZojWErcrv9gULFqQAJGzb/pG3fg7Nut9xnK8rz9zDzAvVAcG27b0VafxmSX9eadTvStpvQwbVHUR6YBl4euT308o9RzLz75j5hABAn66U659K+h8COkWfN3gw89fCeGTmuWH8iETSJunrmPkqLY9kiecvVQaM82UwaZW0e+WetPA4lZkPZebvKIO06r7zQ+VbhoF5nVJmljJPLvFMYN4yaWJtDbeLmc2AdhGF51fC2i8zG+XWf5k8ldMuAvn3ydevPkryGuWbMfM/5NojSlrUtuPXNv3SKiq/3HeQ8u4VUv8/V+7dNUQD4FGKmb+q/H9ak4ZnaRP9/1TGF49WM/Mhyn2nKtc6fcaLj2QMKqvfMPP1VQTyTeKWOOzJGMR3+QUw8YuJHhTRTPfBVrf/VIOs6LuL+e1MFmVf8QyATCKRX+ozTdPQ8yUiS1nrUqO3AQBs2/7ipZdeOpaZr5Wkpvnz508DYBORoawj9fPc2tpqKVvv3UtEp8CNfHSh5J0yDOOnSr2lfNYvzYD1cpWulklMDsCnAHxX0o9g5tMpvx72LQD3OcwJnw3k1Zn9FuX3dXCNC08EcIWS/gQRbRSjuavCeIS7Q1IYP/8lGpo1cEMu/gCulT40u4ii50VSuEjSbiOi62SyNlbSlsg6Xi+A1XCNG8+Qg33WCk2fNUE/midlBlyr4J8QUSkjp7C8HeXavwAcB2A6Edl6u4jKs/Qlj06Xye01XvuV5aZy6z8STxW0izD+dfLrJ1F4jfLNDD2/CtoOl0irqPzMTLL+TnDjQexLRP8F18+7FKnbS9cDuA2uBwwAHAHXHVW1hfB4zxHRNXCNmK+Aa18EWZp8hJl38vn+DQpPz8P17d6NiJ6uoN9cBte6fqB0N4BZI8Wt0hiCd3IA0Osgrvp0B4VNDdpPPCiEapRwqgXvME2zf1AyDCOh30NESWnAaprX4V6yLOvOK664wmbmfn/udDq9MwAmIq8x0+OPP95vlNfS0jIT+Q0F/ij5b5QOcp+k7+fT6WyfASHMF/gIOf9VNhT4PYDXPLB3XADw/Eg/MgzDT/r8SPk9TenQ/yaiZyWQzELlHq9jzyqTxwJ+mHkUgLMkbYHiOpIMGIz0+thDGUDuY+YdAdwrg956AL+R98yA6273oExsPqb0m9E++ZMMoEH0AvIubC0AHohgvRuWt/fN1wL4BBE9SkStAe0iEs8KYLxERHeJq5Aaj2DXCuo/Kk/ltosw/oPASe0nJXmN+M2K+lsFbccpkVZp+acrE4j/TUQdPt+HIgB6o4xtC5S0b/sBujIOtBHRpVKOl718AJzvA+h3AjgVwAQiOoSIriWi7kr6jQTEOh2VG8GuAPAZIjqNiNaPFDW4MUTv9bPYLnWPUyItaBtQG8HBWIJiq/cfhmGYSiNJ6M8TkdrJvDJ5nSyjlK9Nm4myWv/HHHOModTFDsq9+uDU6tN5wgCdA1RSY5G3TH9LmZT8T0nbEcD/AvBZ+f9gQK9fCzcABQDM8TOKg79vcrk86vzMVIqzRrlPNcRKhzy/o3Ltu3D95ecKPycR0SaJZPWYpG8RKXEugF/4DEZBv/WBpgOuG+WfJeloAK8w87ERwM8vb2/Af5KIukoAWEmetftVq2O9/ZZb/1F5KrddhPEfBdBL8hrxm6naNlTYdqJK6GWVH67LrEfvBXyrKIDuTQZvRt7iXO3bFjNPZOa7mfkNrd1vEo0OlP6r18MiIrqHiNqq0W9Esv8U8jEColAXgEsAzFEj4sWAXl3ALwXqTon7goKzRHEPs5QGkvS5nlQ6BGudzEtjwzA2K/l4eVoBg9q7yu8DFBA24Pq/QwZjvdMZfhJQQB1vVqTlQ7wbDYOeBvBXSf+W5N0O4HLy7zQM4H7l/Tdq1uXTAdykPNJXIY86PxOUaycok5T5JSR07/kPlGuHCEj8AcDHiehFSf8U8kEqLiaia4joNeTDSqrAYkUBdKmzrUT0ZbgBOryB9R5mHhfwiBUB0DlkMDbK4Flvv37LKYkK6j8qT+W2izD+S9VHVF6jfDNDA7hy2o5fX/VLq7T8qjbgeKnPBrjupqXarArYjVIX7QBu8bk3IdqTUwDs5KNNUiNIrgtRuVer34CInpSJ1M3aRAg+mq6b4YZnvlIJzDWiyBom5WBE3yiGB/iesvJR1OJeg+YASSOtXEv7qMvqg2bzyrfwwG45gDdlFvszZu4G8DqAb8L1EwfcNWq/Muj8mQF8MTM/BeBkAJ9k5pvgRmkCiteeLjYNY01INf1MVGUE4HAAq5h5MVwjxn21QaFSHnV+1BjhX5SgFhO0et4B7hpm0PMfKIPuE6KF2IeZv6QtDwDA4cz8Etw1wzMViYRkUhP0LcPodgD/RwamBrgBk1pLSLN63nWa6hUh7aIkz0T064jtt9z6j8pTue0ijP9S9VFOXy31zXIa6LaU0Xb8+iqHSPLlln+JqiJn5kPl24yLINylAgD3NwDO08bthFKeOgC7A3hbJhAnAbhUufdPPvw1RhzHo/Ybb6z7EG7I2ovg2vQcIH3AgBsz/nkA9xHRasRUc/ILEBPlqM5Mo9At468+1x+Wa6uUtDck7WEl7XAln5Mk7bdKWpOW72GKb7hOt0YowxpJuy+Et4laJKYg+iczNxpEMIiC8ro45PmNyu9fV8hjET/iR62T6tZyQ4nnT9Qilql0KTPPDLnu0ZxS31Ljg8St5jhm/n9a9K1UwDNh7aRD0q+P2DZDeS6z/Uau/zJ5KqddBPJfrb4a5ZspVu6t4mFQTtvxa5t+aQMZa+7xef/7ell86uw3yj0naNce0vL7JDOfovx/S9zPdBe2BUoe8/3GhnL7jfinvyTeAdNi2IwpqCGdpTSe132u36Bc30fS3pWG9nVtIO1j5rdl4wJIY/dojE/eu0sYwxXi/vEkM38tYhleUFx4xobwN5qZf8LMi8UtZIt0jIskqEe/73gYoEteR8rAsV5c4F6V0JAtzLyBmZ9n5sMq5LGIHwlQcoPkvVpc5SZJ/d+t+fr61gcz7yt+2e8LiCwXvqd6koW4BnVJsI8/iD9tv/tMlG+pvO8on4H1RcXq1++ZwLyVcp0SpV1E5Dlq+41c/+XwVGa7COS/Wn01yjeTcMcenVtm2/Fr235pAxlrvG+1nplXSVlOiwDo14ir4BK1Dcm1T0r51kvfnikBhsIm9t/R8jhT8l/BzGdU2m+YuUnqeBkzT4qRK6aghvQJ8e1cLRGYdDebz0os54vCooMxs+WT9kAUEIhQxqIyiIT5PDOfVVL9QQARFR0S2W0lM5/jgXkYoJcoY2qA3yESP7V6XsurQcDwRrH2jvwtxTd5rQxiT8mEMVnifRW1k6htM2JeVpX7VVXa/kD7SRReo3wzZp4lQLmwhH+0X9spapsBaRWPNQH3fUP5BhOqVMd7CH8dAvavyeTuu2Ex3SPkW3a/iSmmwZ4sPC6AubDam5mUtZ4RAOjeYWhHTAP7lhJq1xhJ7WRbbPtllresbzZCvoEXMXDLSOBtW/wGMcVUfVCPAT2mmLa3Ceg8JXLcwrhGYoopBvSYYopp5IB4WjZH+pFiTNgVFPY1pphiGomAjnBApxjQY4ppWwD0szWjsg5mPj6umZhiiimmmGIaWYA+QTY7eV22nR0b10pMMcUUU0wxxRRTTDHFFFNMMcUUU0wxxRRTTDHFFFNMMcUUU0wxxRRTTDHFFFNMMcU0LOn/A9//HYIFpWQcAAAAAElFTkSuQmCC'
DONUT_DATA = 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'
class TransferRates:
Safe = 0x1F4
Normal = 0x100000
TransferRateDict = {0: TransferRates.Safe,
1: TransferRates.Normal}
class DNDListWidget(QListWidget):
def __init__(self):
super(DNDListWidget, self).__init__()
self.setAcceptDrops(True)
# self.setDragDropMode(InternalMove)
self.setDefaultDropAction(Qt.MoveAction)
def dragEnterEvent(self, event):
if event.mimeData().hasUrls():
event.acceptProposedAction()
else:
super(DNDListWidget, self).dragEnterEvent(event)
def dragMoveEvent(self, event):
super(DNDListWidget, self).dragMoveEvent(event)
def dropEvent(self, event):
if event.mimeData().hasUrls():
event.setDropAction(Qt.CopyAction)
event.accept()
for url in event.mimeData().urls():
list_nsp.addItem(str(url.toLocalFile()))
self.emit(QtCore.SIGNAL("dropped"), links)
else:
super(DNDListWidget, self).dropEvent(event)
# "Language!" -Cap, May 1st 2015
def set_language(v):
global language
language = v
if v == 0:
Language.CurrentDict = Language.EnglishDict
elif v == 1:
Language.CurrentDict = Language.ChineseDict
elif v == 2:
Language.CurrentDict = Language.VietDict
elif v == 3:
Language.CurrentDict = Language.TurkishDict
elif v == 4:
Language.CurrentDict = Language.BrazilianDict
elif v == 5:
Language.CurrentDict = Language.ItalianDict
elif v == 6:
Language.CurrentDict = Language.FrenchDict
elif v == 7:
Language.CurrentDict = Language.SpanishDict
elif v == 8:
Language.CurrentDict = Language.GermanDict
class Language:
CurrentDict = None
EnglishDict = {0: "Fluffy",
1: "Begin Transfer",
2: "Switch IP",
3: "This Computer's IP",
4: "USB Transfer Mode",
5: "Normal Mode",
6: "Safe Mode",
7: "Current NSP",
8: "Successfully Installed",
9: "Awaiting Selection",
10: "Switch Not Detected",
11: "Switch Detected",
12: "Network Mode",
13: "NSP Selection",
14: "NSP(s) Selected",
15: "Awaiting Connection Request",
16: "Cancel",
17: "Error: Goldleaf threw an exception.",
18: "Error: Tinfoil threw an exception.",
19: "Error: Network threw an exception.",
20: "Dark Mode",
21: "Options",
22: "Language",
23: "Github",
24: "Network",
25: "Headers Sent",
26: "NSP(s) in Queue",
27: "Installing",
28: "Transfer Rate",
29: "Current NCA",
}
ChineseDict = {0: "Fluffy 卷卷安装器",
1: "开始传输",
2: "Switch的IP地址",
3: "此电脑的IP地址",
4: "USB传输模式",
5: "正常模式",
6: "安全模式",
7: "当前的NSP游戏文件",
8: "成功安装",
9: "等待选择",
10: "Switch没有连接",
11: "Switch已连接",
12: "网络模式",
13: "选择NSP游戏文件",
14: "个NSP游戏文件 已选择",
15: "等待连接",
16: "取消",
17: "错误: Goldleaf 反馈了一个异常.",
18: "错误: Tinfoil 反馈了一个异常.",
19: "错误: 网络状态 反馈了一个异常.",
20: "黑暗模式",
21: "选项",
22: "语言切换",
23: "Github主页地址",
24: "网络",
25: "发送NSP头文件",
26: "个NSP游戏文件 在队列中",
27: "NSP游戏文件 安装中",
28: "传输速率",
29: "当前的NCA游戏文件包",
}
VietDict = { 0: "Fluffy",
1: "Bắt Đầu Chuyển",
2: "IP Của Switch",
3: "IP Của Máy Vi Tính",
4: "Tốc Độ USB",
5: "Tốc Độ Bình Thường",
6: "Tốc Độ Chậm",
7: "Đang Chuyển NSP",
8: "Tải Xông",
9: "Hãy Chọn NSP Của Bạn",
10: "Không Thể Tìm Thấy Switch Của Bạn",
11: "Tìm Được Switch Của Bạn",
12: "Bạn Đã Chọn Chuyển Bằng Wi-Fi",
13: "Xin Vui Lòng Chọn NSP",
14: "Cái NSP(s) Đã Được Chọn",
15: "Đang Chờ Yêu Cầu Kết Nối",
16: "Hủy Bỏ",
17: "Error: Goldleaf ngừng hoạt động.",
18: "Error: Tinfoil ngừng hoạt động.",
19: "Error: Network ngừng hoạt động.",
20: "Hình Tối",
21: "Sự Lựa Chọn",
22: "Ngôn Ngữ",
23: "Github",
24: "Network",
25: "Danh Sách NSP Đã Gởi Cho Bạn",
26: "Đang Chờ Chuyển NSP(s)",
27: "Đang Tải",
28: "Tốc Độ",
29: "Đang Chuyển NCA",
}
BrazilianDict = {0: "Fluffy",
1: "INICIAR TRANSFERÊNCIA",
2: "IP do Switch",
3: "IP deste computador",
4: "Modo de transferência USB",
5: "Modo normal",
6: "Modo seguro",
7: "NSP atual",
8: "Instalado com sucesso",
9: "Aguardando seleção",
10: "Switch não detectado",
11: "Switch detectado",
12: "Modo de rede",
13: "Selecione o NSP",
14: "NSP(s) selecionados",
15: "Aguardando pedido de conexão",
16: "CANCELAR",
17: "Erro: Problema reportado pelo Goldleaf.",
18: "Erro: Problema reportado pelo Tinfoil.",
19: "Erro: Problema reportado pela rede.",
20: "Tema escuro",
21: "Opções",
22: "Língua",
23: "Github",
24: "Rede",
25: "Cabeçalho enviado",
26: "NSP(s) em fila",
27: "Instalando",
28: "Velocidade de transferência",
29: "NCA atual",
}
ItalianDict = {0: "Fluffy",
1: "Inizia Trasferimento",
2: "IP della Switch",
3: "IP di questo Computer",
4: "Trasferimento USB",
5: "Modalità Normale",
6: "Modalità Sicura",
7: "NSP Corrente",
8: "Installazione Avvenuta con Successo",
9: "In attesa di selezione",
10: "Switch Non Rilevata",
11: "Switch Rilevata",
12: "Modalità Network",
13: "Seleziona NSP",
14: "NSP(s) Selezionato(i)",
15: "In Attesa di Richiesta di Connessione",
16: "Annulla",
17: "Errore: Goldleaf ha lanciato una eccezione.",
18: "Errore: Tinfoil ha lanciato una eccezione.",
19: "Errore: eccezione nella Modalità Network.",
20: "Dark Mode",
21: "Opzioni",
22: "Lingua",
23: "Github",
24: "Network",
25: "Headers Inviati",
26: "NSP(s) in Coda",
27: "Installazione in Corso",
28: "Velocità di Trasferimento",
29: "NCA Corrente",
}
TurkishDict = {0: "Fluffy",
1: "Aktarmaya Başla",
2: "Switch IP 'si",
3: "Bu bilgisayarın IP 'si",
4: "USB Transfer Modu",
5: "Normal Mod",
6: "Güvenli Mod",
7: "Şu anki NSP",
8: "Başarıyla Yüklendi",
9: "Seçim Bekleniyor",
10: "Switch Algılanamadı",
11: "Switch Algılandı",
12: "Ağ Modu",
13: "NSP Seçimi",
14: "NSP(ler) Seçildi",
15: "Bağlantı İsteği Bekleniyor",
16: "İptal",
17: "Hata: Goldleaf 'te sıradışı durum oluştu.",
18: "Hata: Tinfoil 'de sıradışı durum oluştu.",
19: "Hata: Ağda sıradışı durum oluştu.",
20: "Karanlık Mod",
21: "Ayarlar",
22: "Dil",
23: "Github",
24: "Ağ",
25: "Başlık Gönderildi",
26: "Sıradaki NSP(ler)",
27: "Yükleniyor",
28: "Aktarma Hızı",
29: "Şu anki NCA",
}
FrenchDict = {0: "Fluffy",
1: "Démarrer le Transfert",
2: "IP de la Switch",
3: "IP de l'Ordinateur",
4: "Mode de Transfert USB",
5: "Mode Normal",
6: "Mode Sûr",
7: "NSP Actuel",
8: "Installé Avec Succès",
9: "En Attente de Sélection",
10: "Switch Non Détecté",
11: "Switch Détecté",
12: "Mode Réseau",
13: "Ajouter NSP",
14: "NSP(s) Sélectionné(s)",
15: "En Attente de la Demande de Connection",
16: "Annuler",
17: "Erreur: Goldleaf a généré une exception.",
18: "Erreur: Tinfoil a généré une exception.",
19: "Erreur: Le réseau a généré une exception.",
20: "Mode Sombre",
21: "Options",
22: "Langue",
23: "Github",
24: "Réseau",
25: "En-têtes Envoyées",
26: "NSP(s) en File d'Attente",
27: "En Cours d'Installation",
28: "Débit",
29: "NCA Actuel",
}
SpanishDict = {0: "Fluffy",
1: "Iniciar la Transferencia",
2: "IP de la Switch",
3: "IP del Ordenador",
4: "Modo de Transferencia USB",
5: "Modo Normal",
6: "Modo Seguro",
7: "NSP Actual",
8: "Instalado Con Éxito",
9: "Esperando Selección",
10: "Switch No Detectada",
11: "Switch Detectada",
12: "Modo Red",
13: "Añadir NSP",
14: "NSP(s) Seleccionado(s)",
15: "Esperando la Solicitud de Conexión",
16: "Cancelar",
17: "Error: Goldleaf ha generado una excepción.",
18: "Error: Tinfoil ha generado une excepción.",
19: "Error: El red ha generado une excepción.",
20: "Modo Oscuro",
21: "Opciones",
22: "Idioma",
23: "Github",
24: "Red",
25: "Cabeceras Enviadas",
26: "NSP(s) en la Cola",
27: "Instalando",
28: "Velocidad",
29: "NCA Actual",
}
GermanDict = {0: "Fluffy",
1: "Übertragung starten",
2: "Switch-IP-Adresse",
3: "Computer-IP-Adresse",
4: "USB-Übertragungsmodus",
5: "Normaler Modus",
6: "Sicherer Modus",
7: "Momentane NSP",
8: "Erfolgreich installiert",
9: "Warte auf Auswahl",
10: "Keine Switch erkannt",
11: "Switch erkannt",
12: "Netzwerk-Modus",
13: "NSP-Auswahl",
14: "NSP(s) ausgewählt",
15: "Warte auf Verbindung",
16: "Abbrechen",
17: "Goldleaf-Fehler!",
18: "Tinfoil-Fehler!",
19: "Netzwerk-Fehler!",
20: "Dunkles Design",
21: "Einstellungen",
22: "Sprache",
23: "GitHub",
24: "Netzwerk",
25: "Header gesendet",
26: "NSP(s) in Warteschlange",
27: "Installiere",
28: "Transferrate",
29: "Momentane NCA",
}
set_language(language)
# End Language
# Setters
def set_dark_mode(v):
global dark_mode
if v == 0:
import qdarkstyle
app.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5())
dark_mode = 0
l_github.setStyleSheet("QLabel { color: rgba(255, 255, 255, 50%) }")
pixmap = QPixmap(dinlaypixmap)
screen = app.primaryScreen()
if screen.size().width() <= 2560:
if screen.size().width() <= 1920:
if screen.size().width() <= 1366:
lowresfix = pixmap.scaled(230, 200, Qt.KeepAspectRatio, Qt.SmoothTransformation)
img_label.setPixmap(lowresfix)
else:
lowresfix = pixmap.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation)
img_label.setPixmap(lowresfix)
else:
lowresfix = pixmap.scaled(350, 240, Qt.KeepAspectRatio, Qt.SmoothTransformation)
img_label.setPixmap(lowresfix)
else:
img_label.setPixmap(pixmap)
else:
dark_mode = 1
pixmap = QPixmap(inlaypixmap)
screen = app.primaryScreen()
app.setStyleSheet("")
l_github.setStyleSheet("QLabel { color: rgba(0, 0, 0, 50%) }")
if screen.size().width() <= 2560:
if screen.size().width() <= 1920:
if screen.size().width() <= 1366:
lowresfix = pixmap.scaled(230, 200, Qt.KeepAspectRatio, Qt.SmoothTransformation)
img_label.setPixmap(lowresfix)
else:
lowresfix = pixmap.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation)
img_label.setPixmap(lowresfix)
else:
lowresfix = pixmap.scaled(350, 240, Qt.KeepAspectRatio, Qt.SmoothTransformation)
img_label.setPixmap(lowresfix)
else:
img_label.setPixmap(pixmap)
def turn_off_logging():
global is_logging
is_logging = False
def set_nca_name(v):
global cur_nca_name
cur_nca_name = v
def set_start_time():
global start_time
start_time = time.time()
def set_cur_transfer_rate(v):
global cur_transfer_rate
cur_transfer_rate = v
def set_sent_header():
global sent_header
sent_header = True
def set_last_transfer_rate(v):
global last_transfer_rate
last_transfer_rate = v
def close_program():
global is_exiting
try:
configp = configparser.ConfigParser()
configp['DEFAULT'] = {'switch_ip': switch_ip,
'language': language,
'dark_mode': dark_mode}
with open(initial_dir + '/fluffy.conf', 'w') as cfgfile:
configp.write(cfgfile)
except:
pass
is_exiting = True
sys.exit()
def set_transfer_rate(v):
global transfer_rate
transfer_rate = TransferRateDict[v]
def set_dir(d):
global selected_dir
selected_dir = d
def set_selected_files(f):
global selected_files
selected_files = f
def set_progress(c, e):
global cur_progress
global end_progress
end_progress = e
cur_progress = c
def set_cur_nsp(nsp):
global cur_nsp_name
global cur_nsp_count
if cur_nsp_name != nsp:
if cur_nsp_name == "NA":
cur_nsp_name = nsp
else:
cur_nsp_count += 1
cur_nsp_name = nsp
set_start_time()
last_progress = 0
def set_total_nsp(n):
global total_nsp
total_nsp = n
def complete_install():
global is_done
is_done = True
def reset_install():
global is_installing
global sent_header
global is_done
global cur_progress
global end_progress
global cur_nsp_name
global cur_nca_name
global cur_transfer_rate
global last_transfer_rate
global max_nca_count
global selected_files
global selected_dir
global total_nsp
global cur_nsp_count
list_nsp.clear()
btn_header.setEnabled(True)
btn_nsp.setEnabled(True)
combo.setEnabled(True)
txt_ip.setEnabled(True)
txt_ip2.setEnabled(True)
net_radio.setEnabled(True)
usb_radio.setEnabled(True)
txt_port.setEnabled(True)
tin_radio.setEnabled(True)
gold_radio.setEnabled(True)
l_nsp.setText("")
l_nsp.setStyleSheet("")
l_switch.setText("")
l_switch.setStyleSheet("")
l_status.setStyleSheet("")
progressbar.setValue(0)
cur_nsp_count = 1
total_nsp = 0
selected_files = None
selected_dir = None
cur_nca_count = 0
max_nca_count = 0
cur_nsp_name = "NA"
cur_nca_name = "NA"
cur_transfer_rate = 0
last_transfer_rate = 0
is_done = False
is_installing = False
sent_header = False
cur_progress = 0
end_progress = 100
init_language()
window.menuBar().setEnabled(True)
if is_network:
net_radio_cmd()
else:
usb_radio_cmd()
def throw_error(_type):
global last_error
if _type == 0:
last_error = Language.CurrentDict[17] # Goldleaf
elif _type == 1:
last_error = Language.CurrentDict[19] # Network
elif _type == 2:
last_error = Language.CurrentDict[18] # Tinfoil
def reset_last_error():
global last_error
last_error = "NA"
def complete_loading():
global is_installing
is_installing = True
def set_network(v):
global is_network
is_network = v
def set_ip(v, n):
global switch_ip
global host_ip
if n == 0:
switch_ip = v
else:
host_ip = v
def set_port(v):
global net_port
net_port = int(v)
def set_nca_count(c, m):
global cur_nca_count
global max_nca_count
cur_nca_count = c
max_nca_count = m
def set_goldleaf(v):
global is_goldleaf
is_goldleaf = v
# PFS0 & Goldleaf by fourminute.
class PFS0:
magic = None
total_files = None
string_table = None
header_remainder = None
body_length = None
file_array = []
f = None
file_names = []
@staticmethod
def reset():
PFS0.magic = None
PFS0.total_files = None
PFS0.string_table = None
PFS0.header_remainder = None
PFS0.body_length = None
PFS0.file_array = []
PFS0.f = None
PFS0.file_names = []
@staticmethod
def open(fn):
PFS0.f = open(fn, 'rb')
PFS0.f.seek(0)
PFS0.magic = PFS0.f.read(4).decode()
if PFS0.magic != 'PFS0':
print("PFS0 didn't check out. Possible NSP corruption.")
PFS0.total_files = struct.unpack("<I",PFS0.f.read(4))[0]
PFS0.header_remainder = struct.unpack("<I",PFS0.f.read(4))[0]
PFS0.string_table = 0x10 + 0x18 * PFS0.total_files
PFS0.f.read(4)
PFS0.file_array = []
for i in range(PFS0.total_files):
nca_offset = struct.unpack("<Q",PFS0.f.read(8))[0]
nca_size = struct.unpack("<Q",PFS0.f.read(8))[0]
name_offset= struct.unpack("<I",PFS0.f.read(4))[0]
PFS0.file_array.append((nca_offset,nca_size,name_offset))
PFS0.f.read(4)
PFS0.body_length = PFS0.f.tell() + PFS0.header_remainder
for i in range(PFS0.total_files):
PFS0.f.seek(PFS0.string_table+PFS0.file_array[i][2])
fn = b''
while True:
b = PFS0.f.read(1)
if b == b'\x00': break
fn += b
PFS0.file_names.append(fn.decode())
@staticmethod
def read_chunks(index):
global transfer_rate
global last_transfer_rate
chunk_size = transfer_rate
abs_sz = int(PFS0.file_array[index][1])
abs_off = int(PFS0.body_length+PFS0.file_array[index][0])
PFS0.f.seek(abs_off)
end = abs_off + abs_sz
while True:
if is_exiting:
pid = os.getpid()
os.kill(pid, signal.SIGTERM)
to_read = end - PFS0.f.tell()
if to_read < chunk_size:
yield PFS0.f.read(to_read)
break
else:
yield PFS0.f.read(chunk_size)
set_progress(int(PFS0.f.tell()), abs_sz)
elapsed_time = time.time() - start_time
if elapsed_time >= 1:
set_cur_transfer_rate(int(PFS0.f.tell()) - last_transfer_rate)
set_last_transfer_rate(int(PFS0.f.tell()))
set_start_time()
@staticmethod
def read_nca(index):
PFS0.f.seek(PFS0.body_length+PFS0.file_array[index][0])
return PFS0.f.read(PFS0.file_array[index][1])
class CommandId:
ConnectionRequest = 0
ConnectionResponse= 1
NSPName= 2
Start= 3
NSPData= 4
NSPContent= 5
NSPTicket= 6
Finish= 7
class Goldleaf:
GLUC = 0x43554c47
magic = 0x43554c47
ticket_index = 0
cmd_id = 0
nsp_path = ""
@staticmethod
def reset():
Goldleaf.GLUC = 0x43554c47
Goldleaf.magic = 0x43554c47
Goldleaf.ticket_index = 0
Goldleaf.cmd_id = 0
Goldleaf.nsp_path = ""
@staticmethod
def write(buffer):
gold_out.write(buffer)
@staticmethod
def magic_ok():
return Goldleaf.GLUC == Goldleaf.magic
@staticmethod
def is_id(a_cmd):
return a_cmd == Goldleaf.cmd_id
@staticmethod
def read(length):
return gold_in.read(length).tobytes()
@staticmethod
def read_cmd(data):
Goldleaf.magic,Goldleaf.cmd_id = struct.unpack("<II",data)
@staticmethod
def write_cmd(a_cmd):
packed = struct.pack("<II",Goldleaf.magic,a_cmd)
gold_out.write(bytes(packed))
@staticmethod
def Goldleaf_USB():
Goldleaf.write_cmd(CommandId.ConnectionRequest)
while True:
if is_exiting:
pid = os.getpid()
os.kill(pid, signal.SIGTERM)
try:
Goldleaf.read_cmd(Goldleaf.read(8))
if Goldleaf.is_id(CommandId.ConnectionResponse) and Goldleaf.magic_ok():
Goldleaf.write_cmd(CommandId.NSPName)
base_name = os.path.basename(Goldleaf.nsp_path)
Goldleaf.write(struct.pack("<I",len(base_name)))
Goldleaf.write(base_name.encode())
elif Goldleaf.is_id(CommandId.Start) and Goldleaf.magic_ok():
Goldleaf.write_cmd(CommandId.NSPData)
PFS0.open(Goldleaf.nsp_path)
Goldleaf.write(struct.pack("<I",len(PFS0.file_array)))
for i in range(len(PFS0.file_array)):
Goldleaf.write(struct.pack("<I",len(PFS0.file_names[i])))
Goldleaf.write(PFS0.file_names[i].encode())
Goldleaf.write(struct.pack("<Q",PFS0.body_length+PFS0.file_array[i][0]))
Goldleaf.write(struct.pack("<Q",PFS0.file_array[i][1]))
if '.tik' in PFS0.file_names[i].lower():
Goldleaf.ticket_index = i
complete_loading()
elif Goldleaf.is_id(CommandId.NSPContent) and Goldleaf.magic_ok():
index = struct.unpack("<I", Goldleaf.read(4))[0]
try:
set_nca_name(PFS0.file_names[index])
set_nca_count(index+1, len(PFS0.file_array))
except:
pass
for buffer in PFS0.read_chunks(index):
while True:
if is_exiting:
pid = os.getpid()
os.kill(pid, signal.SIGTERM)
try:
Goldleaf.write(buffer)
break
except:
pass
elif Goldleaf.is_id(CommandId.NSPTicket) and Goldleaf.magic_ok():
while True:
try:
Goldleaf.write(PFS0.read_nca(Goldleaf.ticket_index))
break
except:
pass
elif Goldleaf.is_id(CommandId.Finish) and Goldleaf.magic_ok():
set_progress(100,100)
complete_install()
sys.exit()
except:
pass
return 0
def init_goldleaf_usb_install():
global gold_in
global gold_out
Goldleaf.reset()
PFS0.reset()
for file in selected_files:
try:
dev = usb.core.find(idVendor=0x057E, idProduct=0x3000)
dev.reset()
dev.set_configuration()
cfg = dev.get_active_configuration()
is_out_ep = lambda ep: usb.util.endpoint_direction(ep.bEndpointAddress) == usb.util.ENDPOINT_OUT
is_in_ep = lambda ep: usb.util.endpoint_direction(ep.bEndpointAddress) == usb.util.ENDPOINT_IN
gold_out = usb.util.find_descriptor(cfg[(0,0)], custom_match=is_out_ep)
gold_in = usb.util.find_descriptor(cfg[(0,0)], custom_match=is_in_ep)
assert gold_out is not None
assert gold_in is not None
set_cur_nsp(os.path.basename(file))
Goldleaf.nsp_path = str(file)
Goldleaf.Goldleaf_USB()
except Exception as e:
if is_logging:
logging.error(e, exc_info=True)
throw_error(0)
try:
usb.util.dispose_resources(dev)
dev.reset()
except:
pass
sys.exit()
usb.util.dispose_resources(dev)
dev.reset()
sys.exit()
# Tinfoil Network
netrlist = []
def reset_netrlist():
global netrlist
netrlist = None
netrlist = []
def append_netrlist(v, v2):
global netrlist
netrlist.append((v, v2))
class RangeHTTPRequestHandler(SimpleHTTPRequestHandler):
def send_head(self):
for s in range(len(netrlist)):
if netrlist[s][0] == str(self.path)[1:]:
path = netrlist[s][1]
ctype = self.guess_type(path)
if os.path.isdir(path):
return SimpleHTTPRequestHandler.send_head(self)
if not os.path.exists(path):
return self.send_error(404, self.responses.get(404)[0])
f = open(path, 'rb')
fs = os.fstat(f.fileno())
size = fs[6]
start, end = 0, size - 1
if 'Range' in self.headers:
start, end = self.headers.get('Range').strip().strip('bytes=')\
.split('-')
if start == "":
try:
end = int(end)
except ValueError as e:
self.send_error(400, 'invalid range')
start = size - end
else:
try:
start = int(start)
except ValueError as e:
self.send_error(400, 'invalid range')
if start >= size:
self.send_error(416, self.responses.get(416)[0])
if end == "":
end = size - 1
else:
try:
end = int(end)
except ValueError as e: