Challenge Description:
Pin the tail on the donkey. What a great party game! Putting on the blindfold, getting spun around by your friends until you feel sick, staggering across a child filled room with a sharp pin in your hand. What fun! This challenge is even better — we are making unicorns!
When you connect to the server (connection details below) we will send you 5 base64 encoded images; some containing donkeys, some not. You have to predict where on the image you would pin a virtual horn to turn the donkey into a beautiful unicorn. The sweet spot is on the centre of the donkey’s forehead, above the eyeline below the ear line. Or thereabouts. You just need to provide the x,y coordinates of the pinpoint. If you get close enough with all 5 images you get the flag. Remember at least one of the images won’t contain a donkey at all. Your response should be a series of 5 comma separated x y integer coordinates with the pairs separated by spaces, all on one line. For example:
160,70 0,0 57,17 37,128 19,145
Assume an image size of approximately 224x224 pixels. If you don’t think an image contains a donkey return coordinates of 0,0 for that image. Assume the top left corner of the image has coords 0,0 Some representative images attached.
Basic Recon
When you first connect to the challenge, like the description mentions, it will give you 5 base64 encoded images and ask you for the coordinates of the forehead of the donkeys. I will attach the sample output in the appendix of this article.
So i first tried decoding one of the images using cyberchef to render the images. Indeed there are 4 images of donkeys and 1 that is not a donkey. As i was looking at the images, i noticed that the challenge timesout and I am unable to spend much time on it.
Exploit
Try 1:
I first tried manually decoding the images on cyberchef and somehow calculate the coordinates of the forehead manually.
However, just manually copy pasting the images into cyberchef was already too slow and lead the challenge to timeout before i could even continue to any further steps. After trying to race it a few times, i knew this options just was not feasible.
Try 2
I understood that I had to write a program of sort to speed up this process for sure. I remebered I have previously completed an assignment in University which uses OpenCV and AI to detect what objects are in an image. However, this was by no means my strong suit.
That said, that experience gave me an idea of what I believe I was supposed to do for this challenge.
Program requirements:
- Connect to the challenge and receive the image data.
- Decode the images.
- Detect whats in the image (ie. whether it was a donkey or not).
- Detect the forhead of the donkey.
- Repeat this for each image.
- Send the results back.
However the problem is I think Imight need to do some configuration on some AI model in order to not only detect the images but also locate the forehead. Lacking experience in this as well as the time constraints of the CTF Ithought maybe I thought maybe I could somehow do this manually.
With some trial and error I came up with this program that would render the images to me and I could manually click on the forehead of the donkeys and skip the non-donkey images.
import cv2
import base64
import numpy as np
import socket
output = ""
# Callback function for mouse events
# Appends the coordinates of my mouse clicks onto the output variable
def click_event(event, x, y, flags, params):
global output
if event == cv2.EVENT_LBUTTONDOWN:
# Allows me to click the top left of the image if it was not a donkey
# This line makes it so I dont need pinpoint precision to get 0,0
if x < 10 and y < 10:
output = output + (f"0,0 ")
else:
output = output + (f"{x},{y} ")
# Convert base64 string to image
def base64_to_img(encoded_string):
img_bytes = base64.b64decode(encoded_string)
img_arr = np.frombuffer(img_bytes, np.uint8)
img = cv2.imdecode(img_arr, cv2.IMREAD_COLOR)
return img
s = socket.socket()
s.connect(('0.cloud.chals.io', 14536))
base64_string = ""
# Accepts the incoming image data from the challenge
while r"?" not in base64_string:
data = s.recv(8000).decode()
base64_string += data
# Split the base64 string into separate image strings
image_strings = base64_string.split('--------------------------------------------------------------------------------')
# Process each image string
for i in range(5):
# Convert the base64 string to an image
image_string = image_strings[i]
img = base64_to_img(image_string)
# Display the image in a window
cv2.imshow('image', img)
# Set the callback function for mouse events
# cv2.setMouseCallback('image', click_event)
cv2.setMouseCallback('image', click_event)
# Wait for a key press and close the window
cv2.waitKey(0)
cv2.destroyAllWindows()
output = output + "\\n"
s.send(output.encode())
# To receive the response from the challenge
response = s.recv(1024).decode()
print(response)
s.close()
Using this program, it seemed to work. I managed to manually tag the forehead of the donkeys and get the flag!
Appendix
Sample output from the challenge
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADgAOADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDyyz81WKOcRAYxWq3J2fxEDFZczmOdlCNsJIw3BFXrScTDDjBqmrkN3HzxmW1K7R8rfe9qxniAmHzZ9a6ERpM32d22pIpXPTmsC6tBbkbZhICexoTBalwH5V9ualQklemOQfxqCAqLcZ+Yjj6VZABC8YA5qJaDK7YXKYJwQAasFlkYAcAcVDcyFWjlUcNwRjoaHiO9SrfL1NTcVx52wtkEknNIssokIz8zACmwoXk4HGe5qzJbu5XyY3lnLYCqM0G8GWYT5lwQeAoA+tVtRg2TqFK4+8fWuhtfDl95aPIhUkfMAKszeH4h80hO4jn6U7GhzFt+8l+UEYYHPtTriNVu3ZSQRggV0CaNHAP3QIDcDdmq8+mCRmwx39MqOBT5SbGQAzW/lbc57mlit0k2RlFAjOSScZq/Ho11E+7d5noMYpDasgYTRP5nUKozmlyiMy9u447gQxRrzxkHNVHaNZVQsxmzkHHStM6RfKjzrZyFj93Ciqw06+tyt1e2zLg5ClcZqRMluHWCNPKjO/aS/H3jWLJCzzNu+4eTxzmtPUJ3vZ0WXEabR9wVHBZSxkukwQcAeYucj8aCbFV1igtTGHG4kNSwh3lRwyfKOlPuonknxHtdu5IxSRKIpiSrdMDaOhpmbTKzxmfdLHgLn9aLaMvBMigmZj9ztip/spjkZQWz94kjApQ37tZVH7zaQWHGaA2KsrmKLyvLAYg53VLBdwRwICG3rk9OKgvWJZM+nehmJtk/dj6+tMaYzI89XKny85yKkuo2GwkkqTnJqSJZRb4jRcHquc1PcRt9nWFgu8f3Tmi4zX1aAXloL8qBIvySgDuP89axoJZAUYD5s/Px2q3F4hRY/LltVePbtKg9TWb5iPOzwxyBT/COa2sZ3NiKRJZVZAeDzkVmaha+VfS7Pu8MPoabb3bW0hxHIQetLfXMdz5WzcrbcOT/ACpKKRaVhllI6OyDBz171pIjGEHPf1rIjuAkm/bg+la1veQNEf3ihz2xUTCxCQZGaLjGcihJDghc8cGmyyIJyyMm4ds4qW3h+03UcMLZckZAOeDUE2ua2gaJcavOPKwI1PzkivU9P0m106HZbwIJMDc5GTVjw7oaabpqQgDcRubitpLUNIGC49c1aRqtDM+wTyKxFxEmegKZ/rWdP4anlXP28sfZAK68QIFIGOveoJYgq9ufahlXPNdZ0nU7dVEDuVB52jNYD3FzvG+QxnOWyMf56V6leRjPTOPwrDvdOs5wfNhWQ+uMH/69SPmOHi8VLp8uy6iaaMnjHWuo03V9A1KNWDpHIf4JRgisvUvBkN8DNaSmOUdAw4rn7vw7f2Mu/Y8mBgFeRmi4XPTBY24G9ApHUEciobi3QxnKeYP90HFeeQ65qOnyhY5JBkAFXOB+tb9trc+oKoNvKsucEoCc/lSY9C7PFZB23QR56ZEQBqpcvpgj2zW0Z2/3himTw6xdS/u7V9nQm5Gz8u5FWLbw95cnm3LLcS7sgEkon09aAujGmiimTdBph8s9GJwD/jWPe3TWQ+a2Ea+wBFekOIIj+/kU5GMY/oOlZsmlWzB9kIZSc4kGRRykt2R5pdXkl4ykuoQH6U6LLQOqsnPFd1P4O06bbm38tyefKbH/AOqqsvgt4I3FldJtPO2VMfr3otYx1Zwd2kscS7kznIzio1eUqgEe4AEda6DUfDerRspeFpkBHMZyPyrEurG+s2LvbTRp6shFMNUPtGZVxMpVV/ixirYWMos7MGVf7vGagtLrzImtrlC8RT73vTrhHcxvldijckZOPzx1pMoyfrTgzL0dh9DitQ6TuuCvnKMe1RXGmiC0MnmKzA4qyLoobj6t+dJk92NGCOtT29nLcAFduBzzQUV+po79q05bSMXBgcqhBxkVXsdqahGHZSBngjOaJDKoJVjgr+IzXe/DXTvt2pSXksSkWwypxjJrCuoEBVlWPBJ/hxXqHgmBbTQFdNv71iW4xQmgTOrt5HICkkDtzmtWHOByDWRBtXy1HOavrKVOB2qiiy6sWpjxllxk1IkwYgMOfanOR14qWMyp7cENk1lywpnHetq5dcGs8RbpN2DSsFymYB93bx7U5Y1AwUH1q8IDg8n8ajYdufyosIz59Ms7h8vAjOO5QGnpbC2yI8IvoAB/SrRkCE8E/Ws6/wBTitk3SELzgc09A1H+U7Hlj9KjePaeRion1WCO2MjyADGc1yeq+Ln2OtojkHjzD0ougOs8+2RhvAZ+2EzUE+oeZ8sERYjqMYrzO41a6mtyHu3j6ncj/e/wqiNVvPs48m6n3jqXfB/CnzIR62PNAGUCsOWzxihmYqd6NgjqBmvP7HxXqtkDDf3UcsO3IWRck/jWvZfEPTyxS8tWiVf44zuH6dKT1BaHQK0UMnyysMnociofEF1FPp5t3TzCyFcZz+tWV1bS7/TTJaXEchboOrf989a5mCz1K3vY72FPMheQr5cpyPy7UjRWsc1ceGL+ByUDFBH5gX+FR71lIgaTO7DY2j0rufEHiE3xk0gFYD/G2MZ9q4eaMQXTKhMiqSc1LIasbeQJGZV/PmsvVpVVEj43HkkDFbCqcrHs5OTmuXv5S91IeeHIFWZRSICxPU/pXQaTGUst5A5x1FYCrvAUDkkdq661t1jtUXP/ACzyamQ5DNU08PGL1EBXbhiB0NYI2JOjlRwODXU4ubjQ7lYcYjbeVz1FcyijKKWXp1xVlGsjJPahmALDpjivSfDAD+H4HQ9G2kZrzGABYkQNuG7nnNej+CPLayvLfBOxg45rOO4Lc7CxBK84+XvVxTlicVR0x0VmQ54J681rogHYfXFalCIMrkDmmySBR8zYFMuLlbaNmOPzrGvrwXC4V8Z96lgX2dHb5WDY9KkVfl6cVi25eIrhs5rVEr+XkdTTCw53QADOP61WmfgkHGKimLBhu+8OaqXkzrbs+SODilIdjC8Qay9jC5jILdOtcbPqEuoBJJ5SACSBg9f8mpruY3N9KGdmG7jdSFQszIZP9WuQuBjNZmkVoZ5uZZhIvnSthsbcYHFNuUIiCsQBnvT1kl2vKvBDEtzjNVhPNcxksxQKfvEUwaRVURGdYwiPk/hTZIAbiRGdQFGQuOv+FSRWzLebmLhMZHHJqWWxkbzLhZFYRkBgx5IPp69aZHLchkYzRMzW6gMAq7+aZIqKP3bHaRgjpj6etXJJYXmSKHzXRANwlAxu9qgRS7FG2kKc+mKRMokNvHPbyxXlmQkqnJbocD19a6W58bzvZqGshDJ084nIb6Vg70IcjcNnviqsmYwSMMCM884pXFexDPOs988jNIxbk5FWorcS2SybwpY8nPK1RjSST5UYAtyCTirM0ZtIwjqfPPXng0Et3N2S6WOKa4U78R4GOcGuQdg7kjvV7dPHbloZWCuduOtUvKkQrvUjdzWhMUWbKMtdIcnA9q6lwBCVHOBzWPpcTrEHbOGPHFbjKRAxHJNTIcg00ASGIbsTKUI+tYE1lDG0iyho3UkYYcVtbzEyuMjb83XuKi14BLz7QCQkqbvXmnEUTL044YKrAp7cV6L4CkA1mWHn95EQDXm8MkSMJFlXk8r0Ndx4Qn265bODjOR+lOW5b3PRokAmJUkYNbVvIWhKn3rHhcFiRyNxrZtjhRxTKMi70uWeQ/vSOelU20wQkl1zjvXSyckYpskCyjnp6GmBlWtpkhj26ZGKsPH8xHHHtVlY9jAc8dKlKAqeBUsDDu4yMYz35qhcw+dZzQMceYhUnvg+lbtwgxzis+VUkfbsOO9A7nl0lkdOn2THeF4VyM8VBdS24jMqHcemcYrudc01Jot2DwOMCuCnLW6yRZG4HuM1LKjLoZe4NOXUOzEEYA4p5ZgAJwyKQduRnNXNMt3FxJIcEsDnOcUt/MsjBoyrRxjkYpGlrFGZ1jaOaEHgAEg5/nUDvvlWXI3HouOlStO8m1UTCrzyKZPIxlR0Kg9xikTsLEP3vOD1/CpcRKpO0EnvnFJH5pZUOwBQenGRVW4QtICudvpQTIejJ5smeBjJxzxTJ7aJ4iyOWAwTnjAqtb7me4WRFwnHBxmpzeGOKNVK7AcOy80GRVMCwRrJw8ZJOGOf/wBVTiVZrYN525unzA8CrdqkTKySlQhBy+ODVcqJJPs1snyjPJ70wJHtxDbxLwNievc1EbeG82sGPyDHPSq+pMrSu/P3gOtV7WXyZNrsdh4IxWlwOlhj8uBIwwO1c1bB3bSCcAc8VTs5VltTLsBCjavNWwc24PAbANZSZEtWROcnYRnnin6lbGfQ4Zg5zCxjIIzUyBN+T36cVJABcWl5aZbLx7lIGeR/nrTiwW5ysVh9pRjIPfI4rpPCMn2a9tiD92bHXPFYUbyxthgBnrWhozi3vUYfxMMjPTmtHqaWPbYVDSuvTBycCtSFtrAHOO1ZtmoMiyZJ3KCTWt+7YDk7s8UDJVw5PGKecZpyquMjNLsBOaQyMRhjTJBtBzjFWOQKzLvzJW+8do68UCK15Osakpzj2qnHIZHyQMY7U+6mC/IFJI9e9RwKzMDtxg0CINQizERzjFefapaeZeNtUA9+K9HvyPK49PWuA1NlN8AzEAnB5xQ9io7mTGyRRkMzDbkdetQpbxRRlX/eF+eO1XntI2jYLkqPm3E/pVZ7hIpZCykDZgBRWaNzN8xIGlxGMYwDmslbko7NKBx071rKiZdn3YYZUMcVkuIhcMHbZxx3oMp3uWmkEspJ2qpXsKrrdmQCKRPlGehxxVXdl/kLcnGMdK0ZljiaNTjzSvDDkfjQZakLtGduwFQfvUxYo4oERuY8kt/tVYmuYlUjZu3DHA71n7yG8xkIyQBGT1oFcsBYgoDKxTsualWYx27okTR78gkjnFV4mxc7nVv9oA55/pU5nuZiFKKpTk9+PxoGZ9ycs3ccU0TFo/nY4/hIOCTTHIyUUgqOmKRkYQBsHHrWgGlo14EkNtIThuRz3rpEVDtTJ3HjmuNsji8jfOAD+VdWjYO/cGLHiolHS5DVi1jAAbqOlSafKkWoxEkIN5V2A7HjHv1qDzf3Rd8k9BUUQPmAqDkrx9aS0DrczdWR7PU2gUKVjYrnGM0+CRWaMjAIYdverHi23UXFpcxqf30YLHHccH+VZtnl5kcbuXHfHetVqao+h9PQfYbfpkxqf0rQhhwc1TslK2ltntGP5Vow/Kct3pDJV+UYp4PHT9KQYPcUMQo70DBj8tU7hgkbcDmpXuFA5B/Gq1y6smQuRigRR2pIDuxTtipHhe1VJQcj5itKj7AepJ70EtlTUPuk84FcBrb4uMLnk+vSu7v33K2T2rzzVW+0XTLuxjjrQ9ioasrvJvt2SOTcR2xWbffvGRGbngNVi4mjtrf92SrEgMaoyyRynKNufNZo2uWzGjgRyOPLAwOKzLnTAtx987D6Grb3BwiOy7h/dp5IaFjtO/Hc4oJauUbuPyY/LWMbjxuHB/Oo7RGMkeTuYnHmYz+H/wBep3J2lmU5255GeKLJJY42ZgQGyVGcZoM7WI7qEK4ITeAc8etVL9RDOZJdxJxtjz0H1rUMohVMMFwcnPNZt07hSGcMGBO7HT2oMiKGWfJeKPy0PcHJqJ7i4nZ1UqyngsRkmodxcHb8i47VaSPbany2w39ynYaHQ2ibt/O3sCOlQ3ixoqIjEn6VGZ5/M++w9s1tWtoL60kWWMFz0OMYq7oZiQ7FmBYkDNdJDOiAB2HIyhrnpbd4Jyjp9w8j2qWRZJHQqwxgY56Cr6BudNgyRfKe/U96emXKZyF61UsXLW6ozfOvFXo3+QMwBA4HNZNWINO6sk1bw+0hicvaPuyvZcVy2n2ltd3trDvZSZQo/Ous0qZzb3lokjEzRsAo46DOP1NZWi2Sv4msERQyGYEH2qobGkT3aOLZbxIMfKoFTxISOaYFfzscbRjBqyAFGTQWIGRBgt+FBlTFQuYWf5ic0NGoAIY8+1AiOadUwFUnPtVZ8suec81YcrgjbmqzybTjHFMRVaDLZYiopQqL/Oi5uMHamSaoNIzjGW54zjpSAztbvY7ezkfIIArzae7EcjSSgjecKfSuq8XTeXEY0zgj071wshl8su6N8v8AEw7UmNOwl7cq8gTIYgZPvU9qgUgsqtuHQGstbg3M5cDdjjGMVYhaSGJrnf8AISQvrmpsPmLssPlTrKFIX0NOa6JBUIGyOlVHu52tlLPuB55GMVDb3gJ3luCcHjpQWndF9ZDPEsT4C4xjuKfM++QBcbVwPwqhc71n8+MjyiR1rQgAkt2kQb1zz7UEyMqZFIdyDs6nntVaWSC5dUKOgHAwPSte8WOOBfLUq/8AEW5rHO6eQu7Z2noBjNJoyH/YljjaV2BjPTaaI4/s0pV4cYXdzIavWkJlsysoCq/ABPSqb28kE7bhux1BPzUwK6I8t0QmODjpXTWAMSlOeR1rLsYAkY+Q72P3u9bEaskhHpTkTImmsoru03fKXH3sDBrHESwOVdVwOnFXLW8FvqMiP/qm+V/p61X1CGYyhVwyIPzH9a2j8IXK9lJI99IFU7QTg1oLuWPY2eOlVLGcRGQFcHIxxV4s0kW7YelKpG60A0tPuDDexSKvHHP+frW1otl5fiuFxwkR3njjb2rHtEVYlfZ1TO3Fdx4XtEmuEuXGd8ewqR6GsoaIuJ0smtWitgzKOcAZxmrkOowuuQ4/PNV7vQ7K6XLoDzkYPSq8fh9IOLeUoDyQxzVFGyHjbDKByPrSNtYcmq6QSRRhdwOP1prM68FTj60CCeQRjK55rIuzczsFj459K0WzIeQQBT0C55pgUorBymHJpstggHzKWA9DWmJkyVXtUE5BQ9OaTA5a/wDDVtfS7mjI7DJzVCbwDayqRuCluCQccV2kOxYjmori4SKPcCMd+aCWefTfDOy8seVczxPnkqw5py+AITbmEXcm7tkKR/Kusm1W3RQZpo0TsS2KYuuaVGR5l/Au7plwKAOKl+GmoSpsGoQIn/XJif0rIfwBqcBKJJBLzgYO0/ka9RfxFpKIdt3CQO+7iubvvGWjW8jeW0tw5/55DNSUmcw3gPV5bQlUjOPlCCXBNJH4L8QxqEhtVHPOZVGK6ay8f6Y0ixSRSwYO3dIcCtHUvGOmacYvMl81m5X7Owb86BnmesaVqekMV1CMZYZBUhx+nSsZXKD5Bu3dQBmvYYLjSPGSsYnViBho+jVyvjXRbHRrOEWEccDAndLjBK+/qaTEzjrqVyFjjikUqQUB7/X0qSZZnKTPg5++3QmpbXD5dJWYOOh55ptzJLvEZQq/cBaRBo2S7J+eQq5xUsrbS7nI3VFFIqJITtDFccmoppcR5+U/jmrqL3jNmbM+27YrzWxagXFos3Ani+V/dP8A61c9LLm5z61oaXdG3ulc4IJ2sM9Voi0M1PKgMwyjHcMFu1PiVYiVbPlZJ69RWde3TWk8ieQZIT80fzYJFWrC/gu7iFYQ0aO210HODWt7mh3XhjRVe1EszHaDlOc5Fd9p1qitlAAPQDFYGnR/6LDBGFwBgEcV1ltGIYF6ZxUMofKQF4xUQb3qOducVGCSMZNIRbyGprADuKroHzkHC1Nu46igZGw54qKTtTpblIxy4FZl5rFtAhaeeNAPU4oEXGZQM5HHvWFquu22n27zzyqsa8jjOTXM6349tI3aK1/fH1H3f/r15jqus3erXfm3MhYAkKg4UfhQTc9QuvGF1eRx/wBlNEyNz6kn6d65a78Ram85a9d5EVsMiHZtGfasbRpWtXhn8xY5OVAfj8q0LicPvjjjV3YZBJzu/Gob1sS2Vtb1GK4nktraFnQgMfnOcVQcG9ZGiYiJPlCuM/XmrLC5mmhlNuqkfK7Lxg9qfexukbMluMRn5yG60WEZ9xIxSJEkZV2kEDpinWd5b2kRtmhEgPViMMPoe1TS2x/sqCc56H7vTrRbXVlHa4e3ZpT1YDOKQynJYBbd5trlt+EXOcCqjkmNf3ZGOpxitpbfylRDdnyLpCwXqR9fSs+6trhl819iJyqjPWmh3Jre+utPkiuLOV0nUblEZyR6irWo6lqWveVJqFyj7eNucfn71QsLxYpNki7k6ZHX8K0LG1DzO9u6wu3Qy/Nn/D607FDrRBGqom4KAfmxihbwxqUUs4PQUXFnfWkrGcqSOu3LCobKS2JwW8tVPJyTj9OKlA4lK9WJ7x906oQcYBJq5aaBPdgizvIJH7R+btJ+lY8u7zXBduW6sKWOQl0wSvPBA6VvddSLEt5Y3dldNDdwyRTL/Cw7eue9SWEivOyt1A4PrTru7mukjS7vHn8r/VrjO2oRPO8g8uIs5PXb8xqbRCx09vIl/pzWrxobiMHyiR2/iFVdHS4t9Zt54YTJhtpXb8pP9Kp2tvrjyfuobkLnlliPFepeBNFaKBZbl3kdv4HUgL+f86ZcTqvD9g2GndCmeQmcgVtyybRjilykMYC56etU5cseAWz71JY2SbL+/wBaegYk89eahFtITuOAPrUo+T+LP4Ug0JGcoD1qpcXohjLZP4iq97fiFTkkcelcbrnieO3gbLgnsAaBFvxB4hFlbPI8pXHQDnJry3UNXuLu+SeZ2IbOAxzVbVtSuNSuGeSU7M8AHFZ7Av8Aecn8aCdzT1GxIPnJKoZlzjpWd9kf7MtzkNDu2tjqDTJHfAy5btyc0scr7SgbC8HHamRYVTwGKNI3bIztFXLfETJMrguBjb0qoHdS22QjccnBqRJXB6hvxxSsPlNu0SaOynXeC0gJGTnBpI4ZZI4/McAF/wB5sOc1mQzM0yAlUGeu7NakCSRM8iTRsNwIVTj61LQrFfUN0IW3i3BS+QAc5H9KZbvmOUrMlv8ANtMRHDD3NN1maOW5V9qhsYIBrLSaSKQ4Jx2B5osI1S+IPOa1UlHKrg449T7Vn3d/NcRiN1TaowMLjFW7Bkn8zzHZpgMoSc5H9aS3t0mnmicBJdhK7jjJo2AzY8GReuFPpXR2wW6uI4I8KOMNnrWPbypbXSrdQsVDZYBcZrTRY7O7T7OXdCfM4OMe1VzFJnVQw3WmMroyyJ1bK5qa2m0q+nlSW1EG44ZkXAb/AHvWo9L1aO82p8yuONpPWpZ44hMzcIzHOB0q+U15jzWS5YnIAzUPnPneGIPqDSFfmwvI9qSpMjfi02QSwNeL508ihlVR8qj3NdT5UNna53mMn+GFMf8A6/rXCWuo3NuAEuXjx053CtmDxpexKElhtpdvAcoc1ehReTU9TkkeG0tZW5wrsccV23ht9dsoRJcMGZgS0ZbgD69vpVfwrcaRqSpcXU8BunP3ASNo9K76PRrQfMu7aR3PFIFoNsZrm6iDyBlBGcEYNaSRhV6YP1zQkaAADGBxxUnRto6GlYooarcjT7CS7MRkROXA6gVS0fXrDW7XzrJgVyQ2R90jtW3KvmxlMD5htORxXOyeFIRe/arWea0djudIiNjH1I9/WiwF+5t7e4iIkjWQH27V5P428KSpIbnTraeTJwY8kgV6/DYERhTO5PuaY9lNET5cgIPUMAamwnqfMUkMyMyuhVl4YYxj/GoMnPcfjX0NqPhmy1FmF5p0cu7+JOCK4rxF4P0LSNP3fZLtZS/y+UN+PqO1MR5nBDLcPsiTe31qaTTbuO3e5aErEjBSc9DWrrFrb2z288MUiZI3ZXCn3AqY35MqvLbCZ8bY8DH4n1oJbsYsen3Eis6qGGeo7CpbzSLu1VGePKsM5U1rTtNLEFXhkzv4wKp292Y4DazK20gkHHQ1PMJSuUoLdkZppo1VF/vnANWllW1wnzh25BUcYpocX0jBi7Mowu8Z6dqs3Ni6SQNIp3pgud+AB24pXGEVjDdXcaS3Kxs5H3xxVe4trWDUZI1fzkQkF1OcVo3S26wIrOpG4N64rOuoo7mcSkqEJwoU9aBMgijRJw0W/bGpZWI6+1SSyS3MizW0q+enYLgj8aedr2Qhj8oJCxXk/wA6reSIoyxmZEYEggfM3t9KBDpL6eRle7lEmw/dwuadE8LrsZ9ruSVC8ED3qqI4pIpWQl34wHq9aWRkgMeyP5hlt33l+ntTQ0PRntpo3xuXoGTiuifUITBCrSnz9vNYDrKkcSFVJClcN0qeF4EZlvVeFzwJY+34VXM0NGPPEpJZchx27VU71dkJMrgL+tVW+UnKsMDuO9W1YdhhIUAkjmpbeF5p440RmZmAVQMk/hWlpugz3cieeTBC5BLH7x9gP613NnBp2gRB7SyZpQP9djLg+57UuQZP4c8GxW08V5q7/vEUGO35G3HrivQY9bWP5ZQNvTOMf/qry0eKNVedhDasFLYOTncP896tXviOW2sVe6RVmfIVFOcU7BdHrkcqSRh1bA+mcVInzYxkn2r53TxPq1pP50F/MjHtvyBXX6T8WpIlSPUrESY6ywHB/wC+e9Id0eufKBnd06+1NMiAdSfwrzvVPHP2+0J0ud7YkE7pUy2fQYrNt9f1K3iQuxmlbO4sCTRdC5j1ZHGTnPWpGKEdRXlH/CXavhk81IyPRP8A69VT4g1W5+SS8m+YEZz901F0LmuetHBOB39q5PxRKfJbpgDPIz+Nea6pqWtQx2t3FqE4CuY3+fHzdu/OavyeI73V9Ii8+Uu/3ZOAMe3vSuVF2epgarI1zEpFwHZW/wBYRjFQG4lgWILIpmHyvnjIPSp9TuHuC0w2RxQgKV244/r3rMs3LyKw27ZG/iOTSbM5Pmdy8yeXKSA3mjgtnINV1ZFLhovmY44PJNWdpknkUbt7e9MNkA6pKSC3+f6UtBJEH2UYGxyFJ+bvgjtWokIlhQrIhYjBDjGMVlWjPHqLxNnZvynP8/WuklhQwuzZMp4G3oKDZQvsZlpHE10TcwjyzwVx1qpqKQG7W3EKeWvKleR+NaVvH5cbiZGJYY4PIrNuYo1jGy5XccgITk0IzaIQv2G7UMqSQTjc3yZ3D09qr3sTSTOVkhKpwFHBA+lOmvYGe0KbtiDDqRndRP8AZZAHWBgHP3jJkfy4+lU9BFJX2DcqEgH5h0zThcOk7zQ/u8gALnNLNHDsRoWfBzuXGSP8abNC0CRg4JlXcAOv4+lCEXUvZLm5B2jIIJNTSXcecy87uuwVTS0CqQSyuMcZ5qxHHGtuDIwMhOMgZ/8A1VQ7kMjCJiy4yfXmqoLJL8pIfcG3jpVq6jC3LRsAOarvlVChRitAuaK+IZWvftdxFvlACkhsZxWrJ4utposPaSOcdC4Arl1gdlZh25xUIPOai7Hc66LX5LoqkMcduhGCEOWpmqki3t0BHTPI5rGsWbKhxwRkGreuS7Z4I1JwsY71VyTPkYAnIGfpUSSAFQAo56gc012Lc56063i82QDAwKYHTW0hjijK/KoOeB3q9HfZgO3cXx19fr61Qgcm3EQxx0q5HE0UQUEjOSawe4Eski4CgcnkDrTJD5TIzZBX5uRjpUAlTGO4BqrLPun2O3DLxnuaETszY1LTUn0+7ZPuEiWMdTxWFoM4S8ks5UG6X5kB5Ga6jSJmls5A21yB9wnsOv6Vxt0p0nxAwyCiSFo+c8dv5/pVnR0LetW0v2aWZshA21gBnH+Pesa0ITc7KSVGcZ7V3zRLcWypDtAmXJJHQ1xQjn0q/ltnUKpONp/iqGZNFyIGRY50YqhHPPOaDvdjuEjAdGpwuFa3khcmNgu4LVfT7iNThyQWOAT0pEaplzT7DdOrA5KncATk/wD162gTbs0jqcOc4I4/+tWEkjea8sLsXg5wOcmtuyuI7u0SaQB1Iy7bsc96aOmlMhu3VbDzV3KRkucZOfb0rlpGeeIOiD73L4wa6yZfOEgDhFPIXOcj1rnrwS2MP7gnYT1agie5ThtUjnx5odgOOKmkjlFuyNEVI5CYyv1pqotw0uxCv3d+R/Kns7hNiySYA6UiGVrecxyFNgDgZDEZP4U6OKZ7hS8T+aMFVxnIznr2qRjbTXCNJ/FGCNo6H1qCwuRZ3TSks6MSOuDQIsalNFNeG4TdGzAB8HP/AOqmqxTZCdoV+d+c/nUIjf8AeAfe+9n2q4rLFaBo4lJKZYoMVaGj/9k=
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADgAOADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDzyZALPzl2qpwoPdjWfGHmkEsNxG0a7cybsEH0+uKQKXaKKaaVYEI3ADnHHIHaprO0a5Zpbe3wAxKlFwv/AOus9jQuSW9zFH9qOoIWdcJHuwwH0p9vpdvF+/vB9oO3c8eQN30qnHIirI94gMZGwjqzY7+wqa7nhnulkgUJEoKbBx/wKgZJd3yaiYI4LUwR579TwKhR1RnWZWZMgAD34/HFXZVtmy0duIDu3Md/P4fl+dSQT2EaRlYmDrgZdd/+A/SgRXjl5YMqkq3B7D0ziprucn+DD7QTkcqeuajmun3usTbIixKqFC8Z46UihZNxmkZW9SN2aqMdbibIg7vJGWck4PepgMRE45p21EYbHV/lK5FOIwtWSQLFtPAxxRZIx1EHg4Of0qbsTTbYD7evp3pDLiDnI7CqM6ETD61oqu3dVOX5piBzzVCI2OWB71l3JVrntWpMNnJrIU+ZJvxyzUmMsswMP4itmxXEIRhz2rAmbaoGK2dOMjxI+flX86aEapby7c7u/ArFlmJLZ7DNa15IPJKr07VizLnOMjIpMaKjSFpBg1p7ybUPnkdazFjw4PQVoL/x6Og61IxEu2Tp1rTg1MqFBbFc+zdx7U7zSCD1xQgOv025FxqkA68ms/xCY21C5gcY54NR+F5C+tRA81X8Vkr4iusH0/lU9S38KMaO3CNtUfLUhAaF19KSOXg9zSRt95TwWFMgiNo6Lv3jaxBySM9Kkt2EMTkJvRlxnhiPp/jUomgjKxz5IMe5iq8qf60+ynE1xGZAfJVDjGQrc8cVIyBonj8qZyzJt++FA567enalmne4mL7MeYqlcAKOefzppVt7sZ2cb+Qw6e1TLFbpB5sjeYyYVY8/e9zTATBXhsg56elGcbaXcSaaf9WDV7EkkXLVNM3zAYqEcfKvWlZiaEA+InzfwqyOx9ahi+WMHqfWptwZgKdwElPzHHao7Y/6YvPPepZACpIqG2+W/wAe2akZpsQGb3qov+vf61aI4Bqk7paq8sp2pnqaoRX1FisLVRgG0jPakutSS6bZFE+AerYFRFynJ79qQF2F41m3ONwB6Vo27+ZuKfKg6is2CHzYd+cEVegUrCg9dx/pVIC07+ZI2cAVVmXMfH0qXOfxpRGDG3rQBnFcAHrzV2EZjb021XkX5Sat2nzKR7YqegzNK4cjvUTAqvvmrjJ8+feoHXdkUgNPwnJjWkJ703xcCfEl0fXb/Kjws6R60m9go96b4qnin8RTvC+9GwMj6VK3NH8CMVWw2KuQ7Wz9KpHgnFWLdu1MgiklV/LLx7QI8sfX0NJGFX5yOmGzTbt0luGMe0JgDao+7gYpob91j1FJIRPcv5lzK0Z+TdkY6UqtubBHSmRcqamiQnOKoQ5eRin7MqPQUYHlt607oi0CBB81EiYbIp0Q3EUMPmoQx8efLAqwqgOfpUKYBAqUHkn2pgIRiJs1XiB+3hweMYqSUllYiktV3X6Kem3NSNGs2PL/ABrG1sr5Hzt8g+bHv2rWcERLg965nX5C99HAcs5wFGeF96oRSR+FyOF5rV1axSKC2v7dg8E2Bx2bFUhpspgixyzNz9KsWkzvpl7aFMGHa5X+6Q3/ANegCSzbGA3FXmOwQgE/d/8AZjWba7mP/Aq0Zcfuv+uf9TVIGPU5Iq0uAp9aqx+tWAcA5psRUnG1DUtifkc0ycZi/E0+yXNvx0qSiFxyeMVAejVYlBDNVdueBSArsPLYsOM9DSOOtSsAfeoWJz7k9KVxkRODT4TimuBuBPrTo/vH0pMCrDyGFSJjDj2qKN9jN/tcVIvB+tMRYQbcD1FTQyZYp+NRAgMPoKdGdsitigRZJzuphOWAqUJlSfaoFXkGkCLUJ607GQDTYRhql6nB9aaBgwxg+9PVevvTH6CpomUxtnrTAY6Dy8DrTbRP9L3f7NWHTMZaorT5bo56YqSjQYYwOwFPg8NLqerwaiWURLF5TDvvB/8AiajYEufTFavha63avc2rfcKBvoR/+ur6k9DeTwpb+SMKMAZzXMa94bjsLTUryJz5lykalMcYU5P58flXqkCB7fGP4ciuJ8YOI7aJM8PkVUkkKGrPLbNsKD75rQJ3CHJ/gI/8eNUPLMbuB2arynfb2/sXH8jUjJlO0Cp8/L61WY/KvrUqMCBTuFiOTmAj8cU+zJW3b1oKkrgdegotRiz9zSGRSj8arHrj86sSnBPY+lV+ce9IYwjOagZTjjjPep2+VcCo3bAzUgQNgqcdKdHxk0hwBilPELGhgVo0Eki1M0RRuOmOajg4kHarWN0bt/s0CGxje30WrCJ+/KegqK3XJPP8NTkFbk/3ttMCZWwjf7tKiK8O4dRVcElMetTJuVQvagCSIfvDUufn+tRrxIfzp8f3hntQgJWHyjIpkOAyjsam4ZKqxHbIv1oEWXzyO1OgA3D1NRsThqktCDNg+nFIroXGOJdvtVrweyP4gugTgtGQp/GqTgh2Y1Q0e6NpetdIeVbNO+oLU9ytVwETtjbmuA8fyqqQ2qjLKxbNdJD4msls4pCxDt82PSvPde1J9S1WSRvu/dUVcpJ6CjFrVnNyoTMxxw67vxqaDm124+5IG/Mf/WFI4PmRjPTginWQ/wBIeM9G+Xn17frSAJjgj6VLEAV64qF+pz1FSRY2ZoELLIBG3tUoB8hG/vcn696pTv8Auhk/eYCr68QJ9KGMqyjJ3VXd+KsTHFVCdx9qkYxueaYxycmnnnHYUm3FICB+WAqRseVtpjf6zOaVsvsQHGTigCEDD1OGyhX2qANzUgGNrY570ASxNtYe/FWSWN0rN1K1UHU+zVZmc+ZG3HpQhCdFB96kgOYNx65NRnpT4RiFvrQBZ3YarCLtQAjk1UXDNVoNlPcU0DJVUYCDrURtyrE+9PRtrqauMVK/U0AZxJAK/jTrX/j4B9BT502ufyp9uoCE96Q+halOUrGt18uMjONxJP51qPJu+WsoHLPihMdixNdPE0SFiBSljJsY/SqV3vc+68kVcsxviB/GrtYL3IAAZge5/pSAbZn7c1JcI0bxueMmoeftElJPQTJbo7wk39/7/wDvDr/jQmViNLFgHY+djfe9ven7CrlDyfQUCKhQSXMEZ6bizfQCtHbvHPAHYVStR5l1M5PCAIPqeT/KrrEKNopsEU7jk8fdqqOTirUyn0qIKQOnNQMjIx9aidsZ5qZuBzxVeU4759aYEJJ3U1ugHpRn5vrS9WH16UCIm+9n0qy+PLBHrmq45z604sdqj1qRlmMblc9+KdnLqvoabEdp+tMmJiuRTAsE4GTU1th7d/rUDcxgU+043jsKAJouHb0HFXDg4FVkKqSD3Ganc/IGHWhAO2579KlSQ7V9qgQ/Oc9TTnOJAPWgB8zZG4inQMNppGO4hPWnQp8xHtSGK3BOT1qA2gGm/aN2STginyFt5FRW9zHdXqWagr5dswkB6FuoNFguQyJuVWUc4xn2q3po4REY5+7xQ0KkKMcAdql011inBOBtcNWrWgk9SXXjD9mge3QlFcIX7ZrHzm4PbJpt9qc1tqlxpkhAtZJHdMjox5HNOT5n3Z981NrbA3fcnQDzOfSrMURkRlBUOv8AqyTgsf7v+FQwxlyM9elMviJWW0U5yctj0p2JJ7K3/wBHaYpskZt0q9Np+lI/zMe2K0ow8kaM/wDrBxuP8S+jUyaFIRlT8h5HrQxoyymT9KayfNyPwqzJInYDpVcvke/vUjKsq/hVR1+XHf1q65Umq0o3IuP4t1FhFbymV+hJ6fWpHjWPrlmxnA7U6JjAhkyf9lc9TSbzLJ5o+WX26H6UwK23I/WnGP5cjtQh2tzyMUpbansxxUDAHC/Si6y7RufXFLwUxTyu63b/AGGBpASFsjNXLWIGCQ5wSMVmliWxV613mGRR9KoCQ/fQj6VZDbgvFU1Y+cBjhatEkAkUACDfLxU00fzjmobc8596mZsuMc0gIlLLJk9qsRSDzD9KY3KnikhakMdLvOSnLY4+tZ2k2xshPcSybrqYlWH92tCeMPE2ScDniq9vAEuMf3h1zVxVxPQvNjCerdqrk+Wp6c+9W2+QZJVQRgHv+FUpiDHwMj26itCCG5eG9eOG5gEgXnd0P502FCSflKruIUH07VJEgjG8jnsBVleF3yDH8X/1qnYoPMW3QDP7xxwPQetIkkMHzohLt1Zqr7GLCR+Xc8/4VLKuFXHrUtgkTtLJKr7mNQGVpI3jXPmr8y/7WOq/l/KnqcIw71WcsHVkOGXkUosbQ1ZhIgdSSDzimNLknFQz5gvHZRiKb5hjsTSlsr8oq7E3GyP8u2nMV2w4wNsTn9WqBshufzqRj+4yR/AFB9y1AyoTk1JChJLHgChULtjFWJE2RH2qW7AlcoqfmI/2akmUY247bqjjUtIc08vtKb+oyDUdSugkYbn6VbgVWs53J544qqrdxU0YxGy54JpiIcgOPerdpKySAfwseap7SZfoatQnZlutAF0xgXDN27VM5ZsALSW+GtyzjNSo+Izn72KYiCGBmTOcVMsW1d2afE+3YtOddzZXgUhkXzAY7UyM4YVOF3MAOlR4w4HvSuND9+07uoqVV5DJHnHQ1WIJRgKtWzZhVWbkDJB9KcHZg1cbN5O5fPLHB+6Oi1Skd5AchMZyDnpVzEcs+1weBn0FZt1G6tsZiMt8q46ev4Vq2TYkV9hHPvRLdB75oV+6ig/jioZZkhiGWBJ68VGuPtruW5IHy9/xrJvUq2heLZVKdI/AFRRXhgfgIc8EOoYfrUks8Tf8slGfRiMUhDlIfzfYVXbkipYtrCRguP8AgR5qJXHP7tOvfJpgMkjE0BBPKnH4VRRnjkaOT8D6ir5nSRiWjWNzwSnAP4dqjkUO20qG4p8wrEXl554qV4j5UXTG3P6mm4CoO3pT2bKR+wxRzDSIwQnA/OmynKsKdIBv4pJEI6DPFTuMp243Se+Kmkh3rv8ARf61Ut5QJTxwBV7zgN4PuP60Atimq8HFPVj8p9aaDjdSx80CRKcA/rVqxtjdpIFPIBOKp4y1T2c0lvIHjOOxoA1bZCqmNui8mr1xahYklUcYrFjun3Oe7da1BqamxSJuuRVCInhKyjjtT9pC9eame4jaSRuo28VDIWb516GgYP8AInynmq6sd3PrU+0bCT16VVZisq/WpBEoPzNzxT7aU3DPLE21RwvuMVS1OX7NZyP/ABMNq/U1iWmstZyguN0bcMBQlfUq9jcmuJhIWwF28ZFZ8mrDzm3NyOBmp7hzcQGSBtw+8PeuQnLiU78hs5q9yW7HUWUcmpFwFwrgje38I9ad9o/4mLwscgDCt/exWl4dBbQiV4YoRmuXik8pn2ZxFIfvdfeoQ2zZmO0bqk37lBqOQZVlpE+aMYzxQIvRSfuJB3xVR3ZQCKcpIDYPUUxuUFIYwOSPep1digAxx8y+xquuM1LBlk4Gdv8AKmIknwSPTA7YpuccUrkk8n6ZqPfuTcO5oBAzZkpshLtgelBIElRSP8+BQMrW52zLxnIp7EqDxxSQpiX6GpV/1pVuQf60ARnlc0iEqjUhbAAPpUiASfLQIFfO2pVOMj3qAr8oANSRqSCfSgCfOKlhbKkGq67iuO9Sxtj8qALkeNp9an83CrzjmqCTAH61YKM6gnpmgC15vmZVfWq0qss4DDkHmrB2RD5eDgGqtxOTmQ9aNwMvVZ5L28EEXIQY/HvWZLpF0XCDknoK6PRrLdG0zjLOScmtj7OkELzEDcOFPvRzdEXy6XZgWdsLK1EbnLD7x7Vz2o+VNqBEKHHQ11sibo/esZ9PVblJByS2TTjLuTJGhol0LXQ7kkn91xiubtC89xPK3SQHP1rZikA03WLXncW3fUVmWNs3klhxuBBoEzWilEsMbDui/wAqt2aARyMw9hWdZj/Qof8AcxWvbDNk2OopDZXQfK3tUJ5T6GrMYzG2RzVdjwRSYyPBAzU0LbX4556UsEfmAdvftT/sjK3E0Tbu26miWFxhZMDlSMio5NgQbPTn61OkUiqqyJyo4P4VVJZlPoO1FhjJOCagjy049mFTStmoRlZkYeq8UkNhGT5hB6inryC3cVCinzwV5J4xTxuUhR0/pVEiN+8LUoBEe8dRSR4D88cGpkYOj+lAEIJwCamhOVcetRgYBX0pYyAee/FICUHDsKlj5ZhTFUkt709SVzx81ADo4weT2NXUV5VKp0FUI2LfKO/NXY7ryofl6igBJQUTBOW6Vn37tFYyE9hWmiGRt78d6ytSPnW/lr96SQD8KEM6PRlH2WIY6ipNYmWNkt17fMaZpEqCQr121UupPOvJHznJxSRUiJTlTUDKG+tW1jzCx96q/e55yDQSYWpsbLVEcH5Zkw/8qktJRbWczMOEBIzSeJUzBbTKOjMpNU7VjfXEVup+QHfIfp2qlsLqbEKlbeMNwQozVyBygxng1AzAkjFLFwtIZedMRMy+lZ461d3ERnngiqXrQ0CEVsFueKaoBdcttHelxhvqabt3OQCPxoAvwybEKJMpA/hfioLiMxDI+ZG5U1XlJkfoVYcc0+2lMim1bktyM/wsP8aYiAkFvX6UzDb0+bjPYU7pnjB71EXwQB+dIZPaOjXL/ITlG2Af3u1WXtlEH2lT8qYDg+/GazYGaCU7T8wyBWiL1zavb4yrx4q00SVQF8wbuh4pSvlkp3IqIuHxjqKk3bnDZ+tSMYSyvz3GacD09jSvzz6U1Bnr35pAX4sGNqahzMPpUcTFYyO1G7bIp7GiwFgOsUj7eQelTWsG8uxXOKpoMPzxW5ZskYx3kSmlcRBcqWUFflB6Vj6yv2O4tQOmNxP1NdJA0bSBJP4Rms3W7WO+ZA2QI+ARRbqO43TZtkDSqfmPFOaKUuoC4LHjNMt0SG1Ea8gDArXd0eyjIA3qQ2aSQNlO0V5vMgPDjJqrKnkT7MVLBcbNREwOMtzUuqhUvQ4+63NPoBjazbPdWhhj+8HDAUmkaQbCzlmn/wBdJwB6CtF0MjblBPFEzn7IqnrQBSb731qWBf3WfSoSMj3p8QOzAPJ7UhlhWV0ORjH61Wlj2YZTuRuARRIzZx0HSoln2NjbmM8EHvQCB/4c9OTTWOGyBUkyKj4DEoUyp9qYgLkKBkkdKAHLJ5qeXnD5+Rj/ACqBNzO2F+focDoam2JChkbDleNvbNR3N1MWyDhf7o4FMQlwWFxuYYEg3YIxz3qFlVo+4PG0+1Spm4jaIkkg71J7ev6VH5m9CHXBB6rQBCvL5HerKuCQRx7VWI2sdhxinRZ4Lcg5ANAiWPAlz1DGrbRgDdj5SQDVFT8wGO46dqvNKNrr/dpMCo3AYZ706Fl+UN071EzcHHTrRu+XFAy3BjYeM5yKVFO4IetR2+Vk39QuGIp8gK3LHPAbtTAneJX2qgAPvVu2JBTfkEcKfUVQSVevfNW0mO3y3+4/Of7pouI0EC73PtTNVZAI9n8XJrT8NQR3d/Lb3Kq22Ij/AHuetYN6jicoTna20VPPd8o7W1HWqllkBH8GamjlJhxS2oHnMgP8GKSBcAqeuKHsDZUhjaSZ1HaiUvKFDnJjqxbnF4w9ahmIS9YHoaALVmx3KvrUN6uwMvoaZBN5ak4zzjNTajt8tDnk81XQRmgjdwaXO1lfsOtNOAcilbGwDH3qQ0LMRjrxmqjcuKskbo+lV+C30oGTxnek0eeVG5P61AkuxAqZGep9abHL5c6tnoaWVPJYZ6Nlh9M0ANBLHBHymkkyV3joaVT8ufeoGnMMjYHDcFM/eo3FsCymIh1OPepXCiZTtAV+1VHOSGC/J2qVGYqY2DAHlSexqhH/2Q==
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jFUW9zXhbHerUbcdKzoXwBV5MDvwaGKd0Toc1Mi5qCNx83HSrtuA656UrHNKXcTavQ8+1Vbyyhu42ilQFf5Vsw2ZkUEDNMuLQxcHvSuTGuoy3PNdQ097C4MbD5D91jVRT1znIrt9ZsVureRCPmUZBrhJH8t2VuCKd9Lnt4ap7SI8yYFamlc2zkf3/wClc3Lc9h+ea2fD8paOaInJDbqSmr2NqitE2M0hOadimE47VTRwvcgYdaiLVIxNQHrQNEsLVegesxDzVuAnmixnUjc2YXrQhkAIJNY8BNaEBqGck6dzUWfOR6VHNIPLZu2KhRgCTjrVDW75LfT3VTh5PlQfzoSM6VP3jkyx3u3Qg5B/Grkdyrp8/DVmiTHXinhxjpitLntKKJ2uodxXzAG9KVWViOeKpLbxvM0jDJNSSKU4P6Uky2oPZmmtxFEvzuN3YCohfPKp2DaM4rIeMlkZTgitWJAsQIFUS4qJIgCjPf1qVDnIzUJ4/ipYJPn5p2M53tctRtwatibcuOwrOR+DU8bGk0cs0aNvJ8uTWnZyZf2rFhf5CKv20uMVDOWpE7jSXiePBxxTdUETr8nWsCzvGQYFTSXLMOvFRY8t0JKpcpTL96vPtbso0vnBHftXoTnOa4zxEoF3n1/wqltY93BSadjnPsiY6d6vaXi3vAez/KaYBmgKRyOopKKWp6cndWOkxxUbc5pIZhNbo/fHNIx61ZyOLuV271ERUrd6ZjNAJDEGGNW4fpUKLzVuBOaCZal2AVfh6VWt1HIou9QtrKM+Y4Lf3Aeak5mpN2SLc08UELSSttQDOa4vUr9tQuDK3CdEHoKW91GW9bLnEa/djHT8feqPXP8AKmdVGhy6sVW2g9/rTgS2d2DUfPtTkoNmizCMVJIAwqKM4p5bI60IUVqRtjitWIDyVrIY4Vie1aFhcB4AM5NPYuaKl9FPIf3RwKmiyqr645q7nr8vNQsvfHFMTndWYIcVPG3FVVNTIabOaSLcT1eifd04rOjq7b9aTMJxNOGTHerPm5HWs9GxUqtwamxz8mupMz8ZrkNbmDXrDOcAV0V3dLBA8j9FGfxrhJrh5Znkc/MxyaDtw1N3uTq6mrEUQaswOSeKmjmdaVzqcWalszwbkKnY3fFTGQc4IrOF27psJ4qqUuJLgLa4Hvn+dHMkVCN9zY3A9DmkQc1FdBoIYhFKJZmb5sdP85qOBbng3Eqt7KOlNNMVla5fQDPvV22iJOQD9aqW6qME8/jWlA/HFUznm0kPktLuRdqXAhz/ABBcms5/CrOxc3Zdj1LLya242zVlOazZze3lB6HIS+HL9M+UI5APTismSKSCQxzIyP6NXpIWmzWcFym2WLePQjmmWsZJ/EebHg0IetdLqXhgwh5rPLqesZ6j6Vz5j2ZzwaNzshVhUV0CNin7vSmAp+NMeVU7cnpTWhrGPUWVHkUIMjnmpoA0IAHSo0Y45qQNTKaNWFldOcbqk2DHNZaSlORVuG8X+LmizMJQZCOKljNM2daeimqZmy3F0q5AOapxCr0BpNmMkWox1pZZFiUs7YA71XudQitEBlIC9go5NcxqOqT32VKlIQenIzUhSoyk7sdquotettQkQqeM/wARrL2tySMZqQjOcU3GexNB38vLoiLFPUUoQ9lqVYmxyMVLH0CPpUqp5ny04R7m2qKvQW/lJkjOacSeawyCKOCPAWpIx+FSMtNBwKsyctCeL2q5CcVno+DVhJKLHLM1Ymq1Gc8Vkxy471aim561DRxzTNeFcnFXorZyOKoWkmSua6vSzAY+cZqWzir1HBXRhNbEZ3pXK+JNDV1N5An7yMZZR/EK9Lv0i27gBn2rnJ4wWf5eCMUI0wmJkpc6PIjcK4+T8zTYTubDDJq5rVh9k1W5hQcFtyAe9TWdkqfO55NVFNn0UajklIjSHI4GKmjh61YVBnjpViJB6Vpaw5TK8dq7f8sifpVmLS7h+kePqav2+R3q/D0qW2jnniHHY5zNOUD1x9azra5uJ9zlFRP1NW41z9/mmjZwSL0XPSr8Ax1rPgwvSr0cuabRzVG+hcRYy2Si/lTzDE64aNGHuM1BGwqyhBWoOWUrFObR7Cc/NAq+6cVi3vhuWLfJayb0H8J611K+9OVMnvRcqOIlTtY83AdWIf7w7elODe9dZrmjpKhnhUB1+9iuMdmjZo3B3/zFS3Y9OlUjUVzSsXzMfmz6VpFiVIzWHo0e67fcx3AZUetb3lnGcGqg7iq8vQhLU0c05kxTFznFNswFA5qRGpBigYNFzNoso1W4SKoIRVmJhmkzGUbmtBLtArTtr1lHDEVhwt0q9DJjpioaOSpTT3N1Lt36uajeTMZxVKOQmnqTjFBiqfLscnr9oJNXikGeIgD+ZqDyNowKvahN5l6+DwOB+FRE/Lz96tUrHtUm1BIqiOpI480oJNKpNUEplyCPHU1ehHvxWajHHWrMTH1qGctTUwxHgKBwq9qKtvDhCarEgZpo7Oe5JHx3qwhwM5qkjHmpFfCc02YSZpxHpzV6AZXOeKx4pc1ft5TnHas7nNNGvbqjHbV02LBd23iqdjsMg4rrkERs8Ec4qWcWIrOnaxyckC5ZSPlbrXE69pgikcoOfvKcdq9CuFX5wO3NYWswrJZiQAZT+VG51YStK6uebwyOrKyNtZeh9K6Cy1KO72JIwWYf+PVgzx+VcSBeBmmrhWLLww7+lRzWZ7DjdXOrdMdc59KhMX1qlYas4It5+c9H71rEArkcitE7mPK0yntIGKbyKtMoqPZnmqF6kaseasQtzUBQipIwc9aQnFGhC1XoTWZDwMmr0LcdKDlqRNGNsDvmo7y4ZITHHzI/3RVS51E2kWB9/wBKpWt2zytK3JP6UrMiFLXmZUViDzz7mkD5brmsrUL+eDUZYfLHlDGDmrMUvAzWidz1fZq10aC9KUDnmq6SHHBp28jqc0mc8oFpGGasxNWbHJzVqKSi5m4n/9k=
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