Implement team mode :

• Don't try to eat teammates
• Feed teammates if they are followed by an enemy that has a slightly larger size to counter effect
• Gang up strategy to minimize the enemies escape

Often I notice myself getting cornered in the red zone. The bot then has no idea how to get out.

I have set everything up right as far as i have read, but nothing happens. The script is enabled and everything.

can we please get more comments in this code. I understand why we cant deobfuscate this but can we just get comments explaining what the variables are and what the functions do. that would be very helpful.

PS Thank you for starting this project.

With the mod installed you can't see the leaderboard of what color is the dominant one on TeamPlay. I think it's an issue with the mod. No?

i just installed the bot and in youtube comments i see other people also have this problem where all we see is this:

DarkN3ss said it could be from the agar update.
also the leaderbords still work. help?

It would be cool to add a feature that allows you to type in a username and once you reach a certain mass that you decide it feeds the selected user. It will then repeat.

http://picsaver.org/viewer.php?file=mjvnhvwlt5myrztrzgoi.png

I found that the bot would occasionally get stuck and crash my browser when moving near/into the bottom right corner.

Attempted to fix it myself, changed
if (player[0].y > 11180 - 1000 && badAngles.length > 0) {
to
if (player[0].y > 10200 && badAngles.length > 0) {

Did so for both bottom wall and right wall, seemed to fix the issue. Not sure why.

Edit: Found that during gameplay the walls will seem to change position and move into the level, causing the above issue to repeat. Doing more research.

For bottom and right walls, chaged
var newY = 11180 + 100 + screenDistance();
to
var newX = 11350 + screenDistance();

Seems to be okay now.

have the current version of the bot in the bottom right corner ("v0.2"). As well has having the bot check for updates every time it load up so you know if an update has been pushed out. This can simply be done by loading a txt file hosted on a website and checking if its current version is the same etc

I think this will have it a lot easier to know when an update is pushed out

Dear Maker of this Super Cool Hack. Hoperfully you read this fast. So i think that Agar.io just got updated and your Super Cool Hack doesn't work anymore (Image: : http://puu.sh/i7bIH/3e023f182a.png). Read this Story (if you want): I was searching for a Hack/Bot for Agar.io then i found a Video (not this Video). and it actually worked. i posted it on another video, where you "must" like comment subscribe or something and then he sends you the hack, yeah so i wanted that the Viewers dont get ripped off. The Next time i was on agar.io, well this happend: http://puu.sh/i7bIH/3e023f182a.png.
Greetings from Switzerland (i was from Switzerland all along m8)

please help meee or usss ;-;

Is it possible to create a version to work for ViolentMonkey for Opera broswer?

The only issue i have with this script is the splinting. Because of it i can't get big :c and i want to get biggg :C Cool script tho :D

Hi, where I can insert the boundaries of the canvas? To change the motion vector in the opposite direction.

The bot seems to ignore world borders and just continue to rub against the wall. This may be hard to fix, I have no idea.

Would be nice if there's an option to ignore the split danger zone if a blob is X% bigger than you. Pretty much most of the time, unless you're close to the same size, they'll ignore you, so it's relatively safe to zip around the massive blobs.

Can you make them be able to work together?

The server I was on just restarted (i think :o) and the shown score is still 702 from before!

I think it could be a good idea to implement a chat system. (I could also host the chat server if needed).

so bottom left there could be a chat box so users can chat to each other, and also be able to have this to be able to be toggled

Is it possible to have a server selector implemented?
Since there a a few servers under each category, that would mean that you could play with your friends, without needing to keep refreshing until you are both on the save server

Play a sound when something very important happens, example : the prediction system detects that the probability of death is growing too fast (escapes routes and possibilities diminishing, losing mass too fast, surrounded by enemies / cornered)

When eating at the very edge of the world and then seeing an enemy, the AI will ignore the wall and try to escape through it, causing it to get stuck and eventually eaten.

This happens in the latest builds. Haven't checked the other walls yet.

Basically, my idea was this,

• Check for a possible split kill, don't do it if there are threats nearby. Check if you can still eat what you are chasing with the other half of your mass.
  • After a split kill, focus on running away and eating food until you merge.
• Check if threats can split kill you, such as see if their mass will actually hurt you (the mass of their split cells), and if so, prioritize an escape from those rather than those that will be unable to eat or able to eat in an attempt to split kill you.
  • Though, if at a close enough range, completely prioritize both.
• If below the mass of a virus, check if threats near you are above the virus' mass, and if so, hide in the virus until they are gone.

Could you make some sort of documentation that would allow us to add our own behaviors. Most of your functions and variables have meaningless names and don't make a whole lot of sense to a reader. I'd like to have bots that find and feed certain players.

Enhancement

I thought there should maybe be a toggle showing what the bot's current tasks are, such as "Currently finding food" "Chasing prey" "Escaping threat" "In manual control", that kinda thing.

Since the bot is a little simplistic regarding what it has to do, there shouldn't be too many things required for the console other than to actually make a box showing the console.

It has many problems with detecting enemies and the danger areas are often way too small. Every single time the bot dies, it has been due to it simply jumping head-first right into an oncoming enemy. It does not seem to be able to detect many of the larger cells.The danger areas are often way too small because the bot's cell will only run from enemies 10 times its size when it is halfway through getting eaten by it.

So you remember when you were talking about a white-list in chat? Well what if we also have a running black-list, for example the bot is playing the game, it's doing it's job eating food/players, getting bigger.. escaping etc.. then all of a sudden some guy comes along and splits on it and it has to start over, well if we could then grab that players name then give any blob with that name a radius of no access depending on size, so that way no matter what direction that player is going if the bot comes in contact with said radius it escapes the best way it can.

Just a thought, I hope you get what I mean here.

-b3ck

The splits seem to still be working even when "t" is toggled off

Please make the code more human readable.

Agar Server Selector allows you to join a specific ip address in order to play with your friends.

I'd like to see you make it so that you can run both plugins simultaneously, which currently doesn't work.

Source for Agar Server Selector: https://github.com/electronoob/agarmods

There seems to be a point where an enemies red avoidance triangle becomes the entire size of the screen (happens a lot when you are near a large enemy and around 150 in size) and it will get stuck in avoiding these triangles even though there might not be a large enemy even close. This might be to account for split distance, but it is way way to far in a lot of cases and really can mess up the bot when you get in the middle of 2-3 of these.

Yesterday the bot was running extremely smooth, even running the bot in 10 tabs on Firefox. Today, even just 1 tab running the bot (with no apps open) and the bot is very jittery. The bot will pause for several seconds before making a move. Going in manual mode and trying to move around, same issue. Seems like a huge lag. Not sure if its the bot or me or the connection. Any ideas?

A nice new evading algorithm could be easily done like this:
Have a "Spike ball" around the player, when any threat intersects a line of the spiky ball: render that line(direction) unusable and use the other lines as free areas to go.

Demonstration:
The red lines are intersected by threats, means we can't go that direction.
Green lines are not intersected, we can evade to this direction
Blue line is the invisible wall, if a line intersects this: it's a no-go.
http://puu.sh/hL6NZ/7f7b94a697.png

You could play around with the length of the lines to make it evade from further away.

Sorry for the crappy paint skills, hopefully you still get the point.

This is what i can see in game ;___;

A nice thing to do is to spawn many bots and when one of the "enemies" is one of your bots, you just eat it or get eaten.

What do you think?

I'm spawning in the corner everytime and the script is lagging also the game isn't working with the bot. It appears to be something on line 1404. (gustoughson version), tried this version too and didn't work.

Can someone confirm? Firefox latest with greasemonkey latest version.

It seems like the script does not work with Google Chrome using TamperMonkey. The script is loaded, but it does not appear to do anything.

the bot looks like dont like the taste of the others players

I noticed through 8 hours play or so, that it doesn't give priority to escape when there's a chance someone could split on you. It would be nice adding that.

See https://github.com/volundr-/imabotlol

This bot uses a sampling technique to determine a best course vector based on quantifying risk. Seems to work quite well. Choosing distinct targets works fine, but I think the risk model can be faster and more accurate if tuned well.

This is a pretty big issue and possibly life threatening.
Here you go https://www.youtube.com/watch?v=j13H5Pgx7mk

For obvious reasons, the project being new doesn't mean the targeting system is absolutely 100% on point. Here are some obvious ones. Feel free to post other findings.

• The bot will be chased by a threat, then will corner itself into a wall and won't move.
• The bot will prioritize prey over large threats that are in the way (and just doesn't see them while chasing).
• The bot will shy away from the virus to collect food and immediately come back.

@Apostolique is planning on revamping the targeting system to combat this.

When script is enabled, no option to change name or server. Stuck on screen showing blobs moving in the background, there is no user blob.
http://i.gyazo.com/45d5c4fcf0a49ba7c8162f52bed82a2a.png

i downloaded all the things to make that hack work (i only installed greasemonkey and the script) and the hack make that : "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABAAAAAKECAYAAACZ7Eh3AAAgAElEQVR4nOzd/1caWb7v//6X770zt/sk01mddBITE5PQ6bFv/o17z2fmfHFmdCYmGkUQ+SIoX0VEKUFIJKG7du3PD0wxm6IKCuT9MiavWuu51hwsaldBa85+UFV80/lNa7NS3XLq7UvH+7h0uUrNaX78DT2uky5U4MdqXfacw2odPm6t9d4pnzXh45bPmk6t9R4+7mG17jQ+fIKPmykeOe1fHei4zY+/OblKDX6sp52uUzxpwMc9si6c6nkbPm7xpOGcdrrwcbPlY6f1yYaO2/7VcTLFI/ixNj58cvLHp/Bxj5sdp9Jo4f8+np47Jxcf4OMeHJ04591f4eNex7+5591fnYOjE/i49falU6pb8HErjZZz3OzAx80fn17Lv7n7papz0VPQcVufbCdbPoYf69n7j06hdgYft3revpa/j5yTyHddc5KTiw9O+fSccxLhguYk33gf4C+bfAQATJ/bL5tkBABMBAD5CACYCADyEQAwEQDkIwBA+qrmJAQATAQA/76qXzYCACYCgHwEAPkIAJgIAPIRADARAOQjAGDinEQ+AgAmAoB/X9UvGwEAEwFAPgKAfAQATAQA+QgAmAgA8hEAMHFOIh8BABMBwL+v6peNAICJACAfAUA+AgAmAoB8BABMBAD5CACYOCeRjwCAiQDg31f1y0YAwEQAkI8AIB8BABMBQD4CACYCgHwEAEyck8hHAMBEAPDvq/plIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgIAJs5J5CMAYCIA+PdV/bIRADARAOQjAMhHAMBEAJCPAICJACAfAQAT5yTyEQAwEQD8+6p+2QgAmAgA8hEA5CMAYCIAyEcAwEQAkI8AgIlzEvkIAJgIAP59Vb9sBABMBAD5CADyEQAwEQDkIwBgIgDIRwDAxDmJfAQATAQA/76qXzYCACYCgHwEAPkIAJgIAPIRADARAOQjAGgdWX4l3o+PFp3nP//iIMYa9Msr5+6DR9gxl1/pZy+XnfuPn8DHffLipbPw9Bl83IWl587ii5/g495//MRZevlH8XG9v0MEAP8IAIAIAPIRADARAOQjAGAiAMhHAMBEAJCPAACIAACJANCPAEAAEI8AIB8BABMBQD4CACYCgHwEAEwEAPkIAIAIAJAIAP0IAAQA8QgA8hEAMBEA5CMAYCIAyEcAwEQAkI8AAIgAAIkA0I8AQAAQjwAgHwEAEwFAPgIAJgKAfAQATAQA+QgAgAgAkAgA/QgABADxCADyEQAwEQDkIwBgIgDIRwDARACQjwAAiAAAiQDQjwBAABCPACAfAQATAUA+AgAmAoB8BABMBAD5CACACACQCAD9CAAEAPEIAPIRADARAOQjAGAiAMhHAMBEAJCPAACIAACJANCPAEAAEI8AIB8BABMBQD4CACYCgHwEAEwEAPkIAIAIAJAIAP0IAAQA8QgA8hEAMBEA5CMAYCIAyEcAwEQAkI8AAIgAAIkA0I8AQAAQjwAgHwEAEwFAPgIAJgKAfAQATAQA+QgAgAgAkAgA/QgABADxCADyEQAwEQDkIwBgIgDIRwDARACQjwAAiAAAiQDQjwBAABCPACAfAQATAUA+AgAmAoB8BABMBAD5CACACACQCAD9vskUjxyztzsJtZPOKe/j0v19M6qSh0X0uOov65vwY03k8ur11g583GhqX23Ek/BxN+JJFU3tw8d9vbWjdrP5seOmC5W595f1TZXKl5XEtoPaOyiotY1t6JjpQsXZSefUejQOH3dzN6neJVLwcdejcbWTzsHHXX27pZKHRei4qXxZ/WV9E36s8f1D9XprBz7u1l5abcST8HHf7iRUNLkPH/fvm1GVyOXh4/5lfQM+ZiKXV3/fjMLHjaay6k10Fz7uRjyptvbS8HFfb+2o+P4hfNy/vnmnkocl6LjJw6JafbsFP9ZY5kCtb8fg475LpK7l7+Ob6K6KprJD49598Gg+PQzuf317y7lz/8HYdebeg0fO//j9t9gxHz5yvr933/ndd7fg4966c8/59vb38HG/vX3HuXXnLnzc3313y/nDvfvi43jnOX99806lC5WRudA37V8dx6x40lAnFx+U93HpsuVjdd79FT2uSuXL8GNtfPikDo5O4OMeNzuqdHoOH7d0eq6Omx34uAdHJ+rs/Uf4uOlCRV30FHTc8+6vKls+hh9rvX2pCrUz+LiVRksdWRfwcQu1M1VvX8LH3S9VVfPjb9BxL3pKpQsV+LGevf+oDqt1+LjV87YqnzXxfx/rlqq13sPHzVVqyrrswce9jn9zrcueylVq8HFPLj6o4kkDPm75rKmq5234uIfV+rX8m5spHqnWJxs6bvPjb2q/VIUf62mnq/LHp/Bxj6yLa/n76DcniSy/Eu/ewmPn2ctlyFhuL5b/j3Pn/gJ0zMjyK2fpp5+dHx8twsddfB5xHj5Zgo/78Mkz5/GzCHzcHx8tOk8jP4uP4/0dCpqT8BKAAi8BkI6XAMjHSwAw8RIA+XgJACZeAiAfLwHAxEsA5OMlAIB4CQAkXgLQjwBAABCPACAfAQATAUA+AgAmAoB8BABMBAD5CACACACQCAD9CAAEAPEIAPIRADARAOQjAGAiAMhHAMBEAJCPAABoDgCQSKZ0pVrVDcvS7U5H27Y98TlIADD376LdDrV/8+6mAMAs72VkmQAQNgIAIAKAfAQATAQA+QgAmAgA8hEAMBEA5CMAAJoDAPgtk56DBIBZ9m/e3RQAmPW18v4OEQD8IwAAIgDIRwDARACQjwCAiQAgHwEAEwFAvpsIAFeZbBIAZCIAEABGIgDIRwDARACQjwAgHwEAEwFAPgIAJgKAfAQAAsC8j5kAgIkAEBABQD4CACYCgHwEAPkIAJgIAPIRADARAOQjABAA5n3MBABMBICACADyEQAwEQDkIwDIRwDARACQjwCAiQAgHwGAADDvYyYAYCIABEQAkI8AgIkAIB8BQD4CACYCgHwEAEwEAPkIAASAeR8zAQATASAgAoB8BABMBAD5CADyEQAwEQDkIwBgIgDIRwC4PgCIxuK6YVm62+0ObbPd6eh8sahXVtcCt5fJ5nStXtftTkf3er2h59u23d9GoajDAIC7H+Z2ut2urlSrUx9zNBbXZw1Lf7i8nPqY3OdXqtWxx1Wr18e+J5Vqdeg1tW1bN1stHY3FQ71Xfq9Hr9fTzVZLJ5KpsQAQ6n0pFkPtw6TX4ah6rL0AMM/3kgAwXQQAQAQA+QgAmAgA8hEAMBEA5CMAYCIAyPe1A0Cz1fLdnneiFzRZ9E4Kx23Db9LqVqvXQ20nzDFf9Zhs2w41frfbHfuejFtMPPCr3emEGt+EDBMA5vG+hH0dPlxeDgHAPN9LAsD0EQAAEQDkIwBgIgDIRwDARACQjwCAiQAg39cMAN5P/CctlWp1pomqu9i27fvJe75YnGo/3MXv+OZxTGGXhmXNDABBY6+sroWeeGvdf03XNzZHAGAe70vYpX56OgCAeb6XBIDZIgAAIgDIRwDARACQjwCAiQAgHwEAEwFAvq8VAKaZIJqLd6I47ae95qR52k+avctVMMJcvMcUdjHPIJh18Y49yzG4ZyKYADCP9yXssp87GADAvN5LAsDsEQAAEQDkIwBgIgDIRwDARACQjwCAiQAg39cIAFs7sZHnd7vdoVPB1zc2fT9N9566Ho3FdSabG3wKbT7f71R887T5oE+MvaelZ7K5icccjcVHfn7Z7ertndjUx+S3mBP1ldU1nUimhh7zWzLZ3ODniWTKd3JsIkIimfLdjrlO0CfsmWxuCACu+r5M8zr8+5//Qy+9/KMzr/eSAHC1CACACADyEQAwEQDkIwBgIgDIRwDARACQ72sEgLOGNXZiZ07wwkwUr7Kvfp94mxPnsNtpWKPH9F9/+Zv2fgtAmGOaNNas74nf5Lfd6Qx+7jcx97tMwO9Ges1Wa6pvAQizv2FfB/dbAOb1XhIArhYBABABQD4CACYCgHwEAEwEAPkIAJgIAPJ9jQAQ9gZxQYt3m0HfIhB0Pb75XL9PxcNej27+fJ7HNOnns74nfvhg2/bYYwgLM71ebwQArvK+zAIA83ovCQBXiwAAiAAgHwEAEwFAPgIAJgKAfAQATAQA+b5GAPDdwBSLub2r3vE97LHMsh3pfZr3cUwzrt9ylXsA+I0Vdn9cAAi7/jTHSQCYPgIAIAKAfAQATAQA+QgAmAgA8hEAMBEA5CMATL+42wq6njvs8wkAw+tNM67f4gLAPN4XAsAcIgDIRwDARACQjwAgHwEAEwFAPgIAJgKAfAQAHACEPVV7Un6nknuvWZ+0r3774r1x3azb8bsHgNTrG+Y56xubI+v0er3Bz/0uAfB7LYK24wLAPN6XWQBgXu8lAeBqEQAAEQDkIwBgIgDIRwDARACQjwCAiQAg39cIAH43m/P7Grh57MekdcLuyyzbOWtYnxUA+N2osNlqjT2GWW4CGGZf5rWOCQDzei8JAFeLAACIACAfAQATAUA+AgAmAoB8BABMBAD5vkYASO9nfbfR7nSGvrLNLRqL60q1OnJHd7/F/Mq6MPsadLr6tJ9YB23n4qI91TFJAYDfpF3r0a8K9Fum/RrASduQAoB5vZcEgKtFAABEAJCPAICJACAfAQATAUA+AgAmAoB8XwoAhFlcAHj+8y++p4lPWryf5s6yDXc/zGa9g793O/M4pnkCwKTF7ysV/b5KL+x2xl0CEGa5KgDM870kAMweAQAQAUA+AgAmAoB8BABMBAD5CACYCADyfa0AsL6x6Xvd/LjF/M76cZ+6h9kPs1n2ZV7b8R4TCgBs2/a9Pn5ldW2qYzC3c903AZzne0kAmD0CACACgHwEAEwEAPkIAJgIAPIRADARAOT7WgFglk+cze+sd5vH1825E8dpP7kOen2uekzTjDXLe9LudHwn/yYChDmGbrc7tJ3r/hpAifeSADB9BABABAD5CACYCADyEQAwEQDkIwBgIgDI97UDgDthq9XrvpPObrerm62WrlSrgZPWcc/Xuj/hbViWrlSrvtfjmyWSKd2wrJFTyW3bHtpONBYfu531jU19fHKiLy7aUx9T0Gs3LveeAg3L0hft9sin4N1uVzcsa+Lxe1+LZqs19FrYtq2brZbvvQtMAAj7vrivg99+hX0dvAAw7/eSADBdBABABAD5CACYCADyEQAwEQDkIwBgIgDIdxMB4Cr5AYB4v7xy7j54hB1z+ZV+9nLZmeVbAK7akxcvnYWnz+DjegEAVRAAzDvv7xABwD8CACACgHwEAEwEAPkIAJgIAPIRADARAOQjAAAiAEAiAPT7pvnxN8fssFpX1fO28j4uXbpQUWfvP6LHVYlcAX6s9fal2i9V4eNWGi2Vr53Bx83XzlSl0YKPu1+qqpOLD/Bx9w6K6rz7K3Tcs/cfVbpQgR/rcbOjDo5O4OMW65YqnZ7Dxz04OlHHzQ583FS+rBofPkHHPe/+qvYOivBjPbn4oLLlY/i45bOmKpw08H8fj0/VkXUBHzdTPFKnnS583Ov4N/e001WZ4hF83Op5Wx1W6/BxCycNVT5rwsfNlo+v5d/c5GFJWZc96LiND59UKl+GH2ut9V7lKjX4uKXT82v5++g3J3n+8y/i/fBgwXka+Rkyltuzn5ed7+89gI75/OdfnCcvXjp3Hz6Cj/to6YVz//ET+Lj3F586C0vP4ePeffjIWXzxk/g43t+hoDnJN7lKzTF7t5tSu9m88j4u3evtmEoXK+hx1drGNvxYU/mSehPdhY8byxyorb00fNytvbSKZQ7g476J7qrkYRE+7t83oypbPoaOmy5W1OvtGPxYE7mC2own4eNGU/sqms7Cx92MJ1UiV8D/fdzaUZniEXTcbPlY/X0zCj/W5GFRvd1JwMfdSefUdjKD//uYSKv4/iF83PVoXKULZfi41/FvbrpQVuvROHzc3WxevdtNwcfdTmbUTjoHH/ftTuJa/s39x7uo2i9VoeNmikfq9dYO/Fj3DopqI7aH/zc3nb2Wv49+c5IfHy2K97t/u+388GABMpbbvYVF539++2/QMX98tOjcuf/Q+f2tP8DHvX33vvPd9z/Ax/3u+x+c23d/hI/7+1t/cO7cfyA+jvd3KGhOwksAeAmAeLwEQL7mR14CgIiXAMjHSwAw8RIA+XgJACZeAiAfLwEAxEsAIPESgH4EAAKAeAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcAAEQAgEQA6EcAIACIRwCQjwCAiQAgHwEAEwFAPgIAJgKAfAQAQAQASASAfgQAAoB4BAD5CACYCADyEQAwEQDkIwBgIgDIRwAARACARADoRwAgAIhHAJCPAICJACAfAQATAUA+AgAmAoB8BABABABIBIB+BAACgHgEAPkIAJgIAPIRADARAOQjAGAiAMhHAABEAIBEAOhHACAAiEcAkI8AgIkAIB8BABMBQD4CACYCgHwEAEAEAEgEgH4EAAKAeAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcAAEQAgEQA6EcAIACIRwCQjwCAiQAgHwEAEwFAPgIAJgKAfAQAQAQASASAfgQAAoB4BAD5CACYCADyEQAwEQDkIwBgIgDIRwAARACARADoRwAgAIhHAJCPAICJACAfAQATAUA+AgAmAoB8BABAwgCQyeZ0s9UaefxrAoBmq6WTqbQmABAACACACADyEQAwEQDkIwBgIgDIRwDARACQjwAASBAAorG4dpd2pzP0s68FANqdzuA12NyKQo81skwACIwAIB8BABMBQD4CgHwEAEwEAPkIAJgIAPIRAL4OAGhY1mCyOo9t93q9wfaisfjQz7wAMGmZ1/H6AYDk2CaCfOr1cO/rPyMABEQAkI8AgIkAIB8BQD4CACYCgHwEAEwEAPkIAF82ALx+u6G73e5cJ9yVanWwrYZljfzcBYAw481zv0wAQI1twkqlWsW9t8sEgMAIAPIRADARAOQjAMhHAMBEAJCPAICJACAfAeDLBID1jc2hyek8J9rmp/8rq2sjP3/2ctmZZpx5AwBy7JXVtcE2euCzAAgAAREA5CMAYCIAyEcAkI8AgIkAIB8BABMBQD4CwJcJAOb16fMEgEQyNdhOt9v1XUdrrae9B8A89u3Ji5dTTf7nNfbl5eVgG4lkCvL+RpYJAIERAOQjAGAiAMhHAJCPAICJACAfAQATAUA+AsCXCQDRWFz3ej1dOarq9Y3NuQFArV4fbCdfLPqucxUA8Nu/fLE4OOug1+sFnmp/VQCY9bXJHhwOnl+r1yHvb2SZABAYAUA+AgAmAoB8BAD5CACYCADyEQAwEQDkIwB8mQAQWX41dBPAeQGAeWaB9+Z/bvMEgHyxqP0WPwSYJwD47UvQ6/f23dbgZ95vRJCMABAQAUA+AgAmAoB8BAD5CACYCADyEQAwEQDkIwAQAK46WfZbZ14AYN5vwFz8rref9xkAQdvyPr6w9NwJ2oZkBICACADyEQAwEQDkIwDIRwDARACQjwCAiQAgHwGAADBNaAAYt3i3QQCQyfs7RADwjwAAiAAgHwEAEwFAPgIAJgKAfAQATAQA+QgAgL4AALBt23fyb9v2yDYIADJ5f4cIAP4RAAARAOQjAGAiAMhHAMBEAJCPAICJACAfAQDQDQQA7+NBX2XYsKyRdef9LQAEgH7e3yECgH8EAEAEAPkIAJgIAPIRADARAOQjAGAiAMhHAAAUEgAy2Zy2bVvbtq0z2dzYbYa5CeCzl8tTTcTH7dvK6trIWQC2beuV1bWRdZ+8eOksPH02t7HDAgBvAtiPAEAAEI8AIB8BABMBQD4CACYCgHwEAEwEAPkIAIBCAoA5wfY7td4szNcAPnu57Nx//CT0RHzSJ+fRWHxo/xPJlO96LgC427zq2GEf59cA9iMAEADEIwDIRwDARACQjwCAiQAgHwEAEwFAPgIAIAEASCRTg3W73a7vOi4AjJtET9qnZqs1+JQ/GosPvg2g1+sNzjxYWV3TzVZr8BwTAK4y9rjn+z12eXk5ESckIgAERACQjwCAiQAgHwFAPgIAJgKAfAQATAQA+QgABIBpLgGILA9/NZ/fqfgmAHjH9i5BYzQsawATvV5PV6pVHVl+pSvV6mB827aH7gXgBYBZxx73fO/PV1bXBj/z+2pCyQgAAREA5CMAYCIAyEcAkI8AgIkAIB8BABMBQD4CwNcBAPOsUq0OJr1+N+PzAgAqPwCQzrxJoYsUqAgAAREA5CMAYCIAyEcAkI8AgIkAIB8BABMBQD4CAAFglsyzALw3A/xaAMC8N8En8Kf/keXPEABOO13HbL94pIp1S3kfly6RK6jjZgc9roqmsqrevnSQVRottXdQhI+bPz5V+6UqfNz9UlXlj0/h4+4dFFX5rAkfdyedUycXH6DjVs/bajebhx9rqW6pdKEMHzdXqamDoxP4uOlCWZXqFnzc+P6hOm52oOOeXHxQO+kc/FjLZ02VPCzBxz2s1lW2fHwNfx+PVKF2Bh83kSuoI+sCPu51/Jt7ZF2oRK4AH7d40lCZYgU+brZ8rA6rdfi4ycPStfybG8scqFrrPXTc42ZHxfcP8f/mnp6rVB7/9/Hg6ORa/j5mihVVPGkMjfsk8lK8P9y77zx69gIy1qAXL51bd+6JbHtzOzqY/LbbHW3+bGHpufP9jw+wxxp56TxYfOrcffgINl67/a9vRHizsamfRn52kN25/8BZWHouPo53rhvLHKh6+3Jkfv1N8aThmO2ksypdKCvv49JtxpPq4OgEPa5a347DjzVbPlZbiTR83ORhScUyB0PjluqWePH9Q5XKlxViLLOtvbTKVo7h477dSajiSQM67mG1rt7tpuDHmikdqZ10Fj5uIldQewdF+Lg76azKlI7g427Gkyp/fAodt3jSUG93EvBjzVaO1XYyAx83eVhSu9k8fNx45kClCxX4uO8SaXVwdAIf9010Fz7mwdGJepdIw8dNFysqls7Bx93N5lXysAQfdzuZuZZ/czdie6pQO4OOmz8+VZvxJPxY98tVFU3tw8fdOyhey9/HWDqn0sXhv48LT56J990f7jj3Hz2BjOX28MmS8/tbfxDb/l4qra3zc22O9/DJknNv4bHz3fc/DP5vVHfuLzi3f7gHHdM6P9ex3YS+c/8h/Hi/+/4H5+7CI/FxvHO/N9FdVaidjcw5eQkALwEQj5cAyMdLADAVeQmAeLwEABMvAZCv3uYlAIh4CYB8vAQAkOAlAOP6Wi4BcFtYeu4svvgJPu5ndwlAmF82RAQA+QgAmAgA8hEA5CMAYCIAyEcAwEQAkI8AQACYdwQATASAgAgA8n2NAGBd9ggAgtXblwQAQAQA+QgAmL4mADi5+EAAAEQAkI8AAIgAAOk6AeDZy2UCgDcCgHwEAEwEAPkIAPIRADARAOQjAGAiAMhHACAAzDsCACYCQEAEAPkIAJgIAPIRAOQjAGAiAMhHAMBEAJCPAPDlAoDfEuZnVw0NANd1nG4EgH4EAAKAeAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcA+HInxgQATASAgAgA8hEAMBEA5CMAyEcAwEQAkI8AgIkAIB8B4PoBIBqL62arpW3bHkxSm62Wjsbin8XE2G//ut2ubliW7z6aAFCpVofGqFSrY/e53enoXq839Jxerxc41jyPc9J+aK11u9PRtXp9aF8IAP0IAAQA8QgA8hEAMBEA5CMAYCIAyEcAwEQAkI8A0K9Wr/tOUt0lkUzNPGaYSe+kdRqWNXb/er3eyHNMADDRQGutbdsOvc9hXw9zCboHQJjXYpr90FrrhmXpyDIBwI0AQAAQjwAgHwEAEwFAPgIAJgKAfAQATAQA+QgAs0+wwxZm0jtunUn7prXWtXp95HkuAGSyOd/nZLK5mSfefq+HuSABQOv+mRoEgH4EAAKAeAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcA+Fe2beuGZemV1TUdWX6l88Xi1BPWWSe9QetEY/GhnzUsS69vbA5+vr6xqWv1+tBjbi4AmKfQtzudsZP4cfvj3Zdxz5EAAPPxRDI1dCxaa/323Zb2AkAimdLdbnewTrfb9YWPSrWq253O0Lrua2T+N0EAmCICgHwEAEwEAPkIAPIRADARAOQjAGAiAMhHALh+APCb5LnLpFPmZ5nEhlnH/PS/2WpNNe6zl8vO9k5s5BjMywGCLm3w2x8TAK7jDAC/nzdbrcHPrfPmEACMO3PCvWzAbxy/xbbtQAQgAAREAJCPAICJACAfAUA+AgAmAoB8BABMBAD5CADXDwDezFPnJ9007yqT2HHrmJ/e+33KP65nL5edi4v24PnuZQLmDQHbnc7E/fGbDF/HPQD8fr6+sTm0Xy4AeM9W8FvMGwiGWbxo4EYACIgAIB8BABMBQD4CgHwEAEwEAPkIAJgIAPIRAD4vAFjf2Bx8Ut7tdq80ZphJb9A6006Yzf7rL38ber77CfbK6prv40Hjepder/fZAIB3HRcAzDMDzDMngs6oCBrHXD/okgkCQEAEAPkIAJgIAPIRAOQjAGAiAMhHAMBEAJCPAPD5AID5yf9VJ/+zTGKnee64nx+fnPhOdr0TZL8bCIZZvNfSm8t1A4B5mYMJHF78CDPOpH0gAAREAJCPAICJACAfAUA+AgAmAoB8BABMBAD5CACfBwDMe/I/yyTWfNycyPpdAjBu296v/gta/O5vELRd88aI3k/EzQUFAOap/p96vQEAjHue38+mXd+MABAQAUA+AgAmAoB8BAD5CACYCADyEQAwEQDkIwBcPwCY18bPa/IfdtIbtE7QqeyTnhf01X9By7hP88OOaS4oADC/CeD07IxnAPxGACAAACIAyEcAwEQAkI8AgIkAIB8BABMBQD4CQL9Jd7j3Tq5t29a2bft+pdw8AcA7ka/V60MT2qDnmXAQZvHiQtB2a/X64HHvmQPmgvgaQO9X9plfAxgEJ0GPj9uvSftMAAiIACAfAQATAVi9iWcAACAASURBVEA+AoB8BABMBAD5CACYCADyEQCuFwDCTJjddc1Pl8N8PWCYSe+4dbzfdz9p/4I+5Z40bhAsBC3jvkpPAgAm7cvC0nNnmm8BMG9kOG6/Ju0zASAgAoB8BABMBAD5CADyEQAwEQDkIwBgIgDIRwC4XgAIs1wXAESWX4182j1u/8zr9Ounp2P3zbzLfb5YDP16+F0iYS5IAHBvYmgCgPfYvMs4vCAAzCkCgHwEAEwEAPkIAPIRADARAOQjAGAiAMhHALg5AIC8BMAsk82NnA3Q6/V0s9UamrybWPBXn6/4MzM/KTcn9e1OR/d6vZHXoN3pDI0lDQDj9sN7OYQXANzXzHw9ut2u73s2br8m7TMBICACgHwEAEwEAPkIAPIRADARAOQjAGAiAMhHALj+mwBKNS8AmLZnL5ed+4+fwI5VAgCmyQ8AEBEAAiIAyEcAwEQAkI8AIB8BABMBQD4CACYCgHwEgK8DALyT33E/u2rXCQDI43QjAPQjABAAxCMAyEcAwEQAkI8AgIkAIB8BABMBQD4CwJc7MSYAYCIABEQAkI8AgIkAIB8BQD4CACYCgHwEAEwEAPkIAAQAAsDVIgD0IwAQAMQjAMhHAMBEAJCPAICJACAfAQATAUA+AgCgX145dx88gk9M0QDg9uTFSyfoHgCSEQD6EQAIAOIRAOQjAGAiAMhHAMBEAJCPAICJACAfAQAQAQASAaAfAYAAIB4BQD4CACYCgHwEAEwEAPkIAJgIAPIRAAARACARAPoRAAgA4hEA5CMAYCIAyEcAwEQAkI8AgIkAIB8BABABABIBoN83R9aFY7aXK6jcUU15H5cumtxXpbqFHldt7ibhx1qonalYOgcfd79cVcnDEnzc5GFJ7Zer8HFj6Zwq1M7g475LpNRRowUdt1S3VDS5Dz/W3FFNJbJ5+LipQkWli0fwcRPZvDo4OoGPu53MqPLpOXbcRku9S6Tgx5o/PlXxzAF83EzpSCXzZfzfx4OiylaO4ePupLKqeNKAj3sd/+YWTxpqJ5WFj5utHKu9XAH/31S+rDIl/N/HeOZA5Y9P4eNu7aVV5awJHbd8eq62kxn4sR5W62p3/xA+brp4PX8f/eYkj569EO/WnbvOwydLkLEGLb1wvv3DHeyYz144DxafOrd/uOecnp3pi3Zb27atEePeW3js3PnxwVTPOT0701prfXp2ps3HptnvO/cfOncXHsFf59s/3HMeLD4VH8f7OxQ0J/mmet52zPYOiurg6ER5H5duJ5VV5dNz9LjqXSIFP9biSUPFMwfwcbOVY5XMl+HjJvNlla0cw8eNZw5U8aQBH3crkVZH1gV03PLpudpJZeHHenB0ohK5AnzcdLGiMqUj+LiJXEEdVuvwcaPJfVU5a0LHPbIu1FYiDT/WQu1M7e4fwsfdL1dVqlDB/308LKlcpQYfN5bOqVLdgo97Hf/mluqWiqVz8HFzlZraOyjCx00VKmq/XIWPu7t/qAq1M/i423sZVWm0oONWzpoqmtyHH2v++FQlsnn4uJnS0bX8ffSbkzx+FhHv1p17zsKTZ5Cx3B49e+F89/0d6JiPn0WcB4tLzu27PzrmnfcR495bWHTu3H8Yev2Nre2hbwfY2NrWj59Fpt7vO/cXnHsLj+Gv8+27PzoPFpfEx/H+DgXNSXgJAC8BEI+XAMjHSwAw8RIA+XgJACZeAiAfLwHAxEsA5Kue8xIA8aa4BKBSreperzeY+DZbLR2NxWca170EQPKr9/ya9hKAaCw+BADu8U6737wEoB8BgAAgHgFAPgIAJgKAfAQATAQA+QgAmAgA8hEAAIUEgG63q4OWRDI19bg3BQAiy690w7K01lo3LGvwGAFgOO/vEAHAPwIAIAKAfAQATAQA+QgAmAgA8hEAMBEA5CMAAAoJAO4k2G/pdrtTj3uTAMAvAsBw3t8hAoB/BABABAD5CACYCADyEQAwEQDkIwBgIgDIRwAAFBIAorG4rlSremV1TUeWX+l8sTj1JNjMDwCardbgf/d6PV2pVkeel8nmdMOyhi5FsG1btzudwToNyxo5Y8G9XMEEgEmLu72wj42LANCPAEAAEI8AIB8BABMBQD4CACYCgHwEAEwEAPkIAICu8DWA5gR82uf6AYDf4j27IMx6Jg54l9huQhMA5p/3d4gA4B8BABABQD4CACYCgHwEAEwEAPkIAJgIAPIRAADNCACVanUwAc4Xi1OPGxYAtNY6k80Nnhe0mNfntzudwPUu2u1QAGCiht9k3++xcREA+hEACADiEQDkIwBgIgDIRwDARACQjwCAiQAgHwEA0JQA4F3MU++nyQ8A1jc2Bz837zlgjuE38V5ZXRtcmhBZ7l+u4P2/zSXoHgDuZQO2bQ/tCwFgct7fIQKAfwQAQAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcAAHRFANBa5iaAK6trM0+8E8nU0FkAtm1PBADz/gPebzUgAEzO+ztEAPCPAACIACAfAQATAUA+AgAmAoB8BABMBAD5CACAZrwEYGV1Tdfq9cEkuNlqTfX8MN8CMMvE23tzQr/FCwDm2QZ+lzMQACbn/R0iAPhHAABEAJCPAICJACAfAQATAUA+AgAmAoB8BABAV7gJ4CwTYbdJALC+sTl4fNL1+GbmDQCjsbjv80wAyGRzg8eDEIMAMDnv7xABwD8CACACgHwEAEwEAPkIAJgIAPIRADARAOQjAAAKCQCJZGroZnyR5VdDZwCYE+FMNqdt29a2bY88x20cAKxvbA59jZ85MZ808TaXSQBgIkOv1ws89kkA4Pd1hd4IAP0IAAQA8QgA8hEAMBEA5CMAYCIAyEcAwEQAkI8AACgkAIy7s753km5ecx/0FYHTfAtA0ETeb7vjvgLQXVwAMJHBbxk3pt84414/AkA/AgABQDwCgHwEAEwEAPkIAJgIAPIRADARAOQjAHw+ADBuYm3b9tBd9+cJAN5P1ydNuKe5B8CkZdyY5tcgaj352xAIAP0IAAQA8QgA8hEAMBEA5CMAYCIAyEcAwEQAkI8A8PkAQCKZ0g3LGoKAbrera/X6yLrTXAJQqVZ1u9MZ2q5t27rZag198u82CQDcffWesWDbtm53Ovq4djIXAHCP0x1n0k0QCQD9CAAEAPEIAPIRADARAOQjAGAiAMhHAMBEAJCPAADoijcBnDUXANDjPnnx0vH7GkDpCAD9CAAEAPEIAPIRADARAOQjAGAiAMhHAMBEAJCPAACIAACJANCPAEAAEI8AIB8BABMBQD4CACYCgHwEAEwEAPkIAIAIAJAIAP0IAAQA8QgA8hEAMBEA5CMAYCIAyEcAwEQAkI8AAIgAAIkA0I8AQAAQjwAgHwEAEwFAPgIAJgKAfAQATAQA+QgAgAgAkAgA/QgABADxCADyEQAwEQDkIwBgIgDIRwDARACQjwAAiAAAiQDQjwBAABCPACAfAQATAUA+AgAmAoB8BABMBAD5CACACACQCAD9CAAEAPEIAPIRADARAOQjAGAiAMhHAMBEAJCPAACIAACJANCPAEAAEI8AIB8BABMBQD4CACYCgHwEAEwEAPkIAIA+QwBoWJbWWuuGZc19XAKATN7fIQKAfwQAQAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcAAPSZAUA0FtfmEo3F5zouAUAm7+8QAcA/AgAgAoB8BABMBAD5CACYCADyEQAwEQDkIwBcrUQyNTSZ9l1vSgCIxuK6YVm61+sNttvr9XTDsqaarH+pALCyuub7+pyenenNrWjo9ad9PYMiAAREAJCPAICJACAfAUA+AgAmAoB8BABMBAD5CAA3DwBWVte0bdtzBYBava4nLbV6PdT+fYmXAKxvbI685uZyedmdav1ut3vlfSIABEQAkI8AgIkAIB8BQD4CACYCgHwEAEwEAPkIADcPANqdzsiE0nfdkAAQZvI/DQJ8iTcBbLZaY1+XUrky1fqVavXK+0QACIgAIB8BABMBQD4CgHwEAEwEAPkIAJgIAPIRAG4WAOSLRa21ntsZACura0PbaXc6en1jc/Dz9Y3Nkcmsefq63z64AOD3s3H7HI3FdbPVGjq2Xq+n253O0IQ5aBtPXrz0HdO7fXPbYSfi5pJIpoZev2K5rNder4dev1KtDr3Gs/bZAUDxpOGY7aSzKl0oK+/j0m3Gk+rg6AQ9rlrfjsOPNVs+VluJNHzc5GFJxTIH8HFjmQOVPCzBx91KpFW2fAwf9010VxVqZ9BxD45O1GY8CT/WdKGsoql9+Li72bxK5ArwcaOpfZUuVuDjbsT21GG1Dh23UDtTb6K78GPdL1fV1h7+7+PeQVHF9w/xfx/TOZXK4//NfbebUrlKDT7udfybm6vU1LvdFHzcVL6sdtJZ+Ljx/UO1d1DE/5u7l1b75Sp83Lc7CZU/PoWOe1itq43YHvxYM6UjtZ3MwMdN5ArX8vfRb07y8MmSeN/evuP8+GjxyttxJ8fFUnlokum37oPFJef3/3Z77Pbqp2eDbVxctH238/DJknNx0R6sVz89G6zntw/3Fh47333/g+/PgvZ5L5XWk5ZJ27hzfyHwZ9mDg8DtXl5eBh6335h/W/v70Pq37/7o3Ln/MPT68+q7739w7i08Fv9v1/s7FDQn+ea003XM9otHqli3lPdx6RK5gjpudtDjqp10Dn6sR9aFSh4W4eMWamcqWz6Gj5stH6tC7Qw+bvKwqI6sC/i4scyBqrcvoeMeNzsqkSvAj7VYt1SmWIGPe3B0og6rdfi4mWJFlU7P4ePuZvOq1noPHbfevlSxzAH8WCuNlkrlS/Bx88enKlep4f8+lqqqeNKAj7t3UFTV8zZ83Ov4N7d63lZ7B/h/c4snDbVfPIKPm6vUVP74FD5uKl9SlUYLPm58/1CdXHyAjltrvVe72Tz8WMtnTZUulOHjHlbr1/L30W9O8jTys3jf33vgPH4WudI2zhoNrXX/0/+nkZ+HJpl+6z+JvHRu/XBv7DY/GTeoiyf2fLfzNPKz8/f1N4P1PvV6g/X89uHR0gvnzv0Hvj/ze+zddjRwch52G08jPzsPFpdm3n6pchR47OZr7y5njcbg9bq38Nh5sPg09Prz6s79B86jpRfi/+16f4eC5iS8BICXAIjHSwDk4yUAmIonvARAOl4CgImXAMjHSwAw8RIA+XgJwHSZp+q7p62bi+/zQlwCMHEbE9b1e2zaSwDM0/K73e7Q6fFhtxFZDr4EwNx+vlgcPO5eTqF1/3KAScfvd++FXq+ni+Wy9vsawKD153H9f2T5M7wEIMwvGyICgHwEAEwEAPkIAPIRADARAOQjAGAiAMhHALgZAODePd+27fCT9xsCAOY1/95r48NuI7IcDADj7sY/zfFHll/pTDbne4M/27Z9r+ufdv1pIgAERACQjwCAiQAgHwFAPgIAJgKAfAQATAQA+QgANwMAZprAhgAA8zvqx01I1zc2B+uZn5b7jT8tAIw7hmnWDwKAsMu070kmmxt6/Zqt1lzXnxQBICACgHwEAEwEAPkIAPIRADARAOQjAGAiAMhHAPi6AcA9s0Dr/jcABK1nns5uTlzNZWV1TUeWrwYA7jZmWT8MAHi3P4/GvgdzWD8oAkBABAD5CACYCADyEQDkIwBgIgDIRwDARACQjwDw5QFAJpvTtm1r27b17l5y7HajsfjQNpqt1lRfA2h+ot2wLB1Znh4ATFxwt+GO7be+35iR5WAAMLfvvcfA+sbm0Nf0BbW+sakbljV07JHl4fsImGNOuz4BYI4RAOQjAGAiAMhHAJCPAICJACAfAQATAUA+AsDNAIBJKGA+bl7zbt4zICjzLIBJi/e09bDPHbfPmWxuqm1MO+ak7Y8788GtVq9PHM/czrTrEwDmGAFAPgIAJgKAfAQA+QgAmAgA8hEAMBEA5CMAEADCTqqDrlkPc5O9Sfvc7XZDb2PaMScdX5hvADDPOvBbvDf1m3Z9AsAcIwDIRwDARACQjwAgHwEAEwFAPgIAJgKAfASALw8AprkEwCwai+tmqzUyuW62WhNPk29Y1sikt9vt6nanM/S1d0H7HFl+pSvV6shN8sat7zfm5eXlyJjm6+L9ar52p6Nr9frE12Z9Y1PX6vURqOh2u/r07Ez/+b9XQq/fsKy53IuAABAQAUA+AgAmAoB8BAD5CACYCADyEQAwEQDkIwDcXACYWIibAAblvemf91r2cbn3AJjHMYwDAG9PXrx0Fp4+w77Gy6/0wtJzZ/HFT/BxCQABEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgIAAcCv9Y1N39PYw5wuTwDARAAIiAAgHwEAEwFAPgKAfAQATAQA+QgAmAgA8hEACADjymRzutlqDTAgzOnyBABMBICACADyEQAwEQDkIwDIRwDARACQjwCAiQAgHwGAADDvCACYCAABEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgIAAWDezRMApokAIJP3d4gA4B8BABABQD4CACYCgHwEAEwEAPkIAJgIAPIRAADdUABY39jU7U5n6ucRAGTy/g4RAPwjAAAiAMhHAMBEAJCPAICJACAfAQATAUA+AgCgGwgAiWRq8DWEDcua6rkEAJm8v0MEAP8IAIAIAPIRADARAOQjAGAiAMhHAMBEAJCPAADohgFAJpsb+raBab56MLJMAJDK+ztEAPCPAACIACAfAQATAUA+AgAmAoB8BABMBAD5CACAbhgAJJIp3ev1dL5YnGlcAoBM3t8hAoB/BABABAD5CACYCADyEQAwEQDkIwBgIgDIRwAAdMMA4KoRAGTy/g4RAPwjAAAiAMhHAMBEAJCPAICJACAfAQATAUA+AkBwQcvU4xoAYC5Bp9avrK6NHS/MEnY9vzEq1erQzyrV6tjjW1ld0w3L0r1eb/CcT596umFZQ8covT8uAPjtT683uj/Tvp4EgCkjAMhHAMBEAJCPACAfAQATAUA+AgAmAoB8BIDPCwC8k/Cwk8FxABCNxYe2E3SH/YZlDa3nnbSGnbBOs5jbd2/+5y62bQce2/rG5sj65tLtdq8MAGH3Z2HpubP2ej30/hAAhCMAyEcAwEQAkI8AIB8BABMBQD4CACYCgHwEgM8LALyT9bCTwWkAQOvRyb0fPCABwLwBoLlksjnfY2u2WmO3a35aL70/C0vPnfNmM/T+EACEIwDIRwDARACQjwAgHwEAEwFAPgIAJgKAfASAzwsAEslU6AlgWADwm8x6v2LP++m/32Q37H557wEQ5nnmafPtTmfwv3u9nu/65pJIpnRkuX8PgD/953/pSrWq1zc2A8ea9/4sLD13/PYnstyHlaD9uer7TAAIiAAgHwEAEwFAPgKAfAQATAQA+QgAmAgA8hEAPi8AMK87D5r8hu6fAOC9lt1dVlbXBuv6nb7u/dQ67IR1WgAw0cM9zd7cH3NC7bdNd3Id9iaA894fLwCMw4dZXs+gCAABEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgLA5wUAtXp9aGJo27ZuWNbQZD10PgBgftLvTvDzxeLYn/tNWP2WWQHA/IS9Vq/ryPIwhPjds8B7xkLDsnRsN6HnAQDT7s/C0nPn9Kwxsj9+cDHL60kAmDICgHwEAEwEAPkIAPIRADARAOQjAGAiAMhHAPi8AMCcfJqLbdvTI4APAERjcd3tdrXW/zrDwD3dvd3pDN2DAAEA3nsPuMcY9Pik1+rTp97Ebw+Y9/643wLgtz+9XvD+hH09CQBTRgCQjwCAiQAgHwFAPgIAJgKAfAQATAQA+QgAnxcAjLuTvPe6/bAAYE5Mo7H40A3uzE/SM9ncEAB4P+kOO2GdBgDMMx6ardbQz8wb/bmfxHvLZHO+NwS0bTvwVPx5748LANPuT9jXkwAwZQQA+QgAmAgA8hEA5CMAYCIAyEcAwEQAkI8A8HkBgNvK6ppOJFNDn3KP+1q8aQDAb/LpbjssAIwbdxoAGAcefvs3rlRmX3/69K+b93kn8FL7YwKAWSabG7qZoHd/wr6eBIApIwDIRwDA9LUBwHX8P7gEAPkIAJgIAPJdJwCUT88JAMJlikcEAOEIAOGbeaI4BgC819C7n2gjASDoq/aClqCvBHRbfPGTs/D02dAN+aZ5PWfdnyAAmDTepP28cQCQLR87ZpvxpIrvHyrv49K93tpR6UIZPa5afbsFP9bkYVGtR+PwcXfSOfUukYaP+y6RVjvpHHzc9WhcJQ+L8HHXNrbVfqkKHTddKKvXWzvwY43vH6rNeBI+7nYyo6Kpffi4G7E9tZvNw8f9x7uoShcq0HH3S1W1trENP9a9g4J6E92FjxtNZ9XW3jX8fdxNqVjmAP/3cTumUvkSfNzr+Dc3lS+p9e0YfNxY5kC9203Bx93aS6toOgsf9010V+0dFK7l39xM8Qj8b25F/eNdFH6siVxBvd1J4P8+pvav5e+j35zk3sKieL/77pbzw4OFseusv93U2zsxbT62b0xKbdse/CyRTGrbtrVt2zqRTGr/bT52/uf//s5pXVwMtvH//vRn7Y5lLu7j/+9Pfx481rq4GNquuf6447hz/4Hz+1u3Jz7Pss6nmnBb1vng+X/525qun57q9bebg8du/XDPSaUzQ8/x279578933//g/Od//2Vkf7zvn3e8Sfs5qd/fuu3cuf9A/L9dv7+PfnOSb1qfbMcsf3yqjpsd5X1cukzxSDU+fEKPq/YOivBjPe10VbZ8DB/3yLpQhZMGfNzCSUMdWRfwcbPlY3Xa6cLHTR6WVPPjb9BxGx8+qUzxCH6sx82Oyh+fwsctnZ6r8lkTPu5hta5qrffwcdOFirIue9Bxmx9/U8nDEvxY6+1LlavU4ONWGi1VrFv4v4+1M1U9b8PH3S9V1dn7j/Bxr+Pf3LP3H9V+qQoft3reVoXaGXzcYt1SlUYLPm6uUlP19uW1/Jt73v0VOq512VPpQgV+rCcXH9TB0Ql83PJZ81r+PvrNSV788Rfx7j545Cz99PPYdfyuHTeXs4al3XXNU9Vt29Z+23v+8y/O9z8+cMzT0M2fu483W62hx911e72e7+Pjlhd//MV5Ennp3Ft47Ps897H//uvqyPOCMtf777+u6hd//MWpnQx/W4Lf0u50fLc77/15sLjkVI9rU+/PxCdM2I97C4+dJ5GX4v/t+v199JuT8BIAXgIgHi8BkI+XAGDiJQDy8RIATLwEQD5eAoCJlwDIx0sARjMn6t6l2+0OresFgHGXAJjbCbOvQeuHWcJeAuD96sFx+2NerpAvFie+Vu5rMs1NAK+yPwtLz51PM+xPmOVGXQIQ5pcNEQFAPgIAJgKAfAQA+QgAmAgA8hEAMBEA5CMAfD4AkC8WdbvTGZrcd7td36+Ry2Rzg0sAAq+N/4wBwP0qQq114ETdzbwvgQsh6xubulavD21Ha60vLy91w7LGfmXivPdnYem5s/Z63Xd/ut1u4P6EfT0JAFNGAJCPAICJACAfAUA+AgAmAoB8BABMBAD5CACfDwDMvX8CAHTM5VEAQOXeBBA97qSbAEpFAAiIACAfAQATAUA+AoB8BABMBAD5CACYCADyEQAIAPOOAICJABAQAUA+AgAmAoB8BAD5CACYCADyEQAwEQDkIwAQAOYdAQATASAgAoB8BABMBAD5CADyEQAwEQDkIwBgIgDIRwAgAMw7AgAmAkBABAD5CACYCADyEQDkIwBgIgDIRwDARACQjwBAAJh3BABMBICACADyEQAwEQDkIwDIRwDARACQjwCAiQAgHwGAADDvCACYCAABEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgIAAWDeEQAwEQACIgDIRwDARACQjwAgHwEAEwFAPgIAJgKAfAQAAsC8IwBgIgAERACQjwCAiQAgHwFAPgIAJgKAfAQATAQA+QgABIBZaliW1lrrhmWN/GwSADQsS7c7HW3b9lz3iQAgk9/fRwLAaAQAQAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcAACQEANFYXJtLNBYf+vkkADCXee4XAUAmv7+PBIDRCACACADyEQAwEQDkIwBgIgDIRwDARACQjwBw9TLZnG62Wtq2bd3r9UbXmQIA2p2O7vV6Q5Nz27Z1s9XSmWxuaF0CwHAEgH4EAAKAeAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcAmL31jc2RybrvZHoKAJi0dLvdofWvcgkAAWA+EQACIgDIRwDARACQjwAgHwEAEwFAPgIAJgKAfASAmwUA6xubgZP0kfXnCABBk32/CACYCAABEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgLAzQIA85P/Xq+nM9mcXlld819/RgBwH1tZXdO1en3wuHnTvnGT+K3ojrbOz4f208SDcc/tdruDn7mXHlSqVd3udIZ+Zm7XPX4vACSSqaHndLvdkcsZvPvjt3jXj8biutlqDX7+qdfTpXLF93XNZHMj+93udEYumyAAzDECgHwEAEwEAPkIAPIRADARAOQjAGAiAMhHALg5AJDJ5oYmsxOfc0UAGPezoPXNfTQXc3/9nruyuuY7+Q8zQbdtW6+srg0BgHuJgt/iPZNh0mKumy8WA9fzvicmnniXRDJFAJCKACAfAQATAUA+AoB8BABMBAD5CACYCADyEQBuDgCYnzqbZwI0Wy3/T5TBZwB4bw5oLrV6PfC56xub2rbtwWPeT+nDLA3LGgDAuP1wF/P1GreYxxxmu5VqdbC+eUzrG5uDx+cx+ScAjIkAIB8BABMBQD4CgHwEAEwEAPkIAJgIAPIRAG4OAPjd+C9oUnsVAAhaJp3GbwLFh8vLwan5K6trQxNg7z67E2XbtofWGzdWZHn4U/5erzcAAHM/mq2W7/rm497cMxG8+2NuN18sDh7PHhwO7YfffvtdekAAEIoAIB8BABMBQD4CgHwEAEwEAPkIAJgIAPIRAG4OAExaRia1cwQA79cM+k3KSs7nhgAAIABJREFUzU+8//3P/zH1WEGTZL+x/H7mAoC5H+b9EVZW18ZuyzvJ935Sb2533OKu770EoN3p+AIHAWDOEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgLAzQQA9zHvNfcSAGCeBj9uX8wl7LcAmGc1uNfyXxUAwq7v/Zl5hoD5CX+Y1yhou373ATAvE7hKBICACADyEQAwEQDkIwDIRwDARACQjwCAiQAgHwHg5gCA+Ql0qEntFe8BYE6IvZNWv/XNJewZAJHlVyN36p9m0m4uVzkDwISUoMsDzMXc7qSvAYzG4iPfBGDeE2HWCAABEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgLAzQEA8/R0dwJp3pXePE0/k81p27a1bduhrj8PmhgHTab91m93OoPHrPPzkcn3uOeaE2TvBDxo37w/m3QPgKDH1zc2fV9Db+bxdbvdwen8C0vPnbXX6xNv7uf9BoGr/jdFAAiIACAfAQATAUA+AoB8BABMBAD5CACYCADyEQBuDgAEfcWeuwTdgd7vFP6wAGCO2e50xq4/bv8mPTeyPHyTQ/MU/HGTZnOZ5lsAzMm699N57xL29TeP0Z3wmzdmNKHB71gIAHOKACAfAQATAUA+AoB8BABMBAD5CACYCADyEQBuDgBEloc/hTYX76nz8wIA78TcndAGrW9eNmAuQXfHN59rTpDN+wGM2zdzcQFg3H5oPfxtBt5t+C1hjs97jJO2y0sABCMAyEcAwEQAkI8AIB8BABMBQD4CACYCgHwEgJsFAJHlV7pSrQ4m5bZtj0xoI8vzuwTA3Za7uJ9yj1s/vZ/VHy4vhybGk75C0M08TT7MWOZiAoC73977C/i9FpMWv9fDCzEX7fbQpH5ldU03LGvkqxvbnc7cvhKQABAQAUA+AgAmAoB8BAD5CACYCADyEQAwEQDkIwDcPAAI3RQ3AZxnz14uO+O+BUAqLwCgmnQTQKk+OwBo/+o4ZsWThjq5+KC8j0uXLR+r8+6v6HFVKl+GH2vjwyd1cHQCH/e42VGl03P4uKXTc3Xc7MDHPTg6UY0Pn+DjpgsVddFT0HHPu7+qbPkYfqwnFx9U8aQBH7fSaKkj6wI+bqF2purtS/i4+6Wqan78DTruRU+pdKECP9az9x/VYbUOH7d63lblsyb+72PdUrXWe/i4uUpNWZc9+LjX8W+uddlTuUoNPm6t9V6V6hZ83PJZU1XP2/BxD6t1dfb+47X8m9v6ZEPHbX78Te2XqvBjPe10Vf74FD7ukXVxLX8f/eYkkeVX4t1beOxO1mC9WP4/zp37C9AxI8uvnKWffnZ+fLQIH/fxs4jz8MkSfNyHT545j59F4OP++GjRWfrpZ/Fx/P4++s1JvskUjxyztzsJtZPOKe/j0v19M6qSh0X0uOov65vwY03k8ur11g583GhqX23Ek/BxN+JJFU3tw8d9vbWjErk8fNy/vnmn0oUKdNzkYVH9fTMKP9addE693UnAx32XSKmtvTR83DfRXRXLHMDHXdvYVql8CTpuulBRf33zDn6su9m8Wt+OwcfdTmbU5m4K//cxtqeiqSx83H+8i6q9gwJ83Ov4N3fvoKD+8Q7/9zGayqqN2B583M3dlNpOZuDjrm/H1G72ev7NTeXL0HFT+ZJa29iGH2t8/1CtR+Pwcbf20tfy99FvTnL34SPx/te3t5w79x9Axhr04JHzP37/LXbMh4+c7+/dd3733S34uLfu3HW+vf09fNxvb99xbt25Cx/3d9/dcr6/d198HL+/j35zEl4CwEsAxOMlAPLxEgBMvARAPl4CgImXAMjHSwAwZYq8BEA6XgIAiJcAQOIlAP0IAAQA8QgA8hEAMBEA5CMAYCIAyEcAwEQAkI8AAIgAAIkA0I8AQAAQjwAgHwEAEwFAPgIAJgKAfAQATAQA+QgAgAgAkAgA/QgABADxCADyEQAwEQDkIwBgIgDIRwDARACQjwAAiAAAiQDQjwBAABCPACAfAQATAUA+AgAmAoB8BABMBAD5CACACACQCAD9CAAEAPEIAPIRADARAOQjAGAiAMhHAMBEAJCPAADoCgDQsCyttdYNy5r6uQQA2dfXjQAQEAFAPgIAJgKAfAQA+QgAmAgA8hEAMBEA5CMAEAC8RWNxbS7RWHyq5xMAZF9fNwJAQAQA+QgAmAgA8hEA5CMAYCIAyEcAwEQAkI8AcH0AEGaZdbwwE8yV1TXfsW4yALx9t6WbrZa2bXuw/91uVzcsa+aJ9qQIAP0IAAQA8QgA8hEAMBEA5CMAYCIAyEcAwEQAkI8AIAcA3glmu9PxXc89Dd1vInoTLwE4PWuMfS17vZ7IuLwEoB8BgAAgHgFAPgIAJgKAfAQATAQA+QgAmAgA8hEAJgNAs9WaaSwvAHgn95Hl0U///daZtesAAC9m+C21el1kbN4EsB8BgAAgHgFAPgIAJgKAfAQATAQA+QgAmAgA8hEARkskU3P5tDqTzY1Mfr2fNPtNmDPZ3ODn5uI+VqlWdbvT0d1ud+jnvV5PNyxLr6yu6cjyMAA0LGtk/War5YsNmWxuZN12pzMRJrzg0bAsvb6xOfj5+samrtXrQ495n99stYaOp1Kt+u5fw7J0r9cbrGvbtr5ot7ULAGGP1+/1nfY1IAAERACQjwCAiQAgHwFAPgIAJgKAfAQATAQA+QgAnw8AmNetX+XT+Eq1OjK511oPJujesdzFnPT6TVAnLbZt65XVtSEAMCfL3iWRTA22XavXQ63nl4kZ1nlzqtcqXywGjtvtdgMn7eZyeXk5AICwx2sus74GBICACADyEQAwEQDkIwDIRwDARACQjwCAiQAgHwHg8wAAc9I+66n/fts6qZ8O/rc7wTcnvebk+aoA4G7PBIB2pxO4rnlvAhMkzE/qJ03+vZPuv/39H6FfJ79LJbxL0GtiLqdnZwMACHu85jLra0AACIgAIB8BABMBQD4CgHwEAEwEAPkIAJgIAPIRAD4PADAnf+Yn9VcFgNdvNwanlLuXFbgTZvfU8kmT3XGPRZaHP4Hv9XpDABCNxYeOxzvp9tu2eSlCmMxlmq8BNE/7zxeLg8dNIDEvxfDb75XVNf2n//yvAQDMcryzvgYEgIAIAPIRADARAOQjAMhHAMBEAJCPAICJACAfAeD6AcC8Zj/ojv3TZH4K/frtxtD2zcl6JpsbmqBO+oTa7zG/n5kAkEimhvbHe+mB+3zv6e/tTifwmv1pASBov/0ug/BbJm3HvAlg2OOdx2tAAAiIACAfAQATAUA+AoB8BABMBAD5CACYCADyEQCuHwDMCWOYU96nBQDvhNOdmEaWX4kCwLjr6/2243cNvN/N+LyZk2y/SwCCxgu7hAWAaY53Hq8BASAgAoB8BABMBAD5CADyEQAwEQDkIwBgIgDIRwC4fgBwF3dSLgEA3rv+u1+JJwkA5rX55k0Nx20nGouP3AV/0tf3mafy+90EMGg8cwlz2UXQdlwAmOZ45/EaEAACIgDIRwDARACQjwAgHwEAEwFAPgIAJgKAfASA6wUA7+n5Qc/PZHPatm1t2/bE68NNAPi//9+fRib65oR3ZXVt8Ni8AcB8LCwAuHk/TR93vN6vPazV60MT+qDtmK9Tt9sd+epA79kYQdtxAWCa453Ha0AACIgAIB8BABMBQD4CgHwEAEwEAPkIAJgIAPIRAK4XALzX5Ac93zzNfdKZAuYn0XcfPHK8j3u/ZcBdJt3wbtxk1Fz8zgAIWszJrjlpXt/YDDVJ9pvMhxnPDw68i/d+DEHb8TsDYNL483gNCAABEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgLA9QKAOXEdd8O3aQDAXEwACLP+PAFg1mvivcukSwDcLi+7Y7fjt9/eSyPMxQSRMABw1XsAjFt4CcAUEQDkIwBgIgDIRwCQjwCAiQAgHwEAEwFAPgLA9QLAuMmp2TSXAJjLdQJAZHn0rvha9wGj3ekMJrUrq2u6YVna+wl6u9OZ6isBF1/85CRT6ZHxer2ebrZaQ1/1531tvc8x9y8sAIQ9Xr9tzfIaEAACIgDIRwDARACQjwAgHwEAEwFAPgIAJgKAfASA678JoFi/vHLCAMC8MwEA2eKLnxy/rwGUzgQAZASAgAgA8hEAMBEA5CMAyEcAwEQAkI8AgIkAIB8BgAAw7wgAmAgAAREA5CMAYCIAyEcAkI8AgIkAIB8BABMBQD4CAAFg3hEAMBEAAiIAyEcAwEQAkI8AIB8BABMBQD4CACYCgHwEAALAvCMAYCIABEQAkI8AgIkAIB8BQD4CACYCgHwEAEwEAPkIAASAeUcAwEQACIgAIB8BABMBQD4CgHwEAEwEAPkIAJgIAPIRAAgA844AgIkAEBABQD4CACYCgHwEAPkIAJgIAPIRADARAOQjABAA5h0BANNnBwCND58cs1z5WJXPmsr7uHTJg6I6ufiAHlfF9w/gx3rc7Kh0vgwft1i31MHRCXzcg6MTVaxb8HHT+bI6bnbg4+5mD9XZ+4/QcU8uPqjkQRF+rOWzpsqVj+HjHh6fqnztDD5utlRVlUYLPu7eQUHV25fQcc/ef1S72UP4sVbP2ypTqMDHLZw01EG1jv/7WKmp0uk5fNzUYUnVWu/h417Hv7m11nuVOizBxy2dnquDSg3/31S1rgonDfi4mUJFVc/b1/Jv7mmnCx233r5UewcF+LEeWRdqv3gEHzdfO7uWv49+c5Kll38U786PD5zFFz9Bxhr008/O7bs/Ysd8+Ufn8bOI88P9Bfi4D54sOT8uLMLH/fHRovPgyRJ83B/uLziPn0XEx/H7++g3J/kmf3zqmG0nMyp5WFLex6V7u5NQ2fIxelz1j60d+LFmSkdqM56Ej5vIFVQ0nYWPG01nVSJXgI+7GU+qTOkIPu7r7Zg6rNah42bLx+rtTgJ+rMnDktpOZuDjxjIHKr5/CB93ey+tUnn838c30V2Vq9Sg4x5W6+r1dgx+rOliRb3bTcHH3c3m1U46h//7mNpXewdF+LgbsT21X6rCx72Of3P3S1W1EduDj7t3UFTR1D583J10Tu1m8/Bx3+2mVLpYuZZ/cw+OTqDj5io19Sa6i//7WCirrUQaPm58//Ba/j76zUkeLD4V73/f+t65t/AYMpbb/cdPnN99dws65oPFp87dh4+cb2/fgY/7/b0Hzq07d+Hj3vrhnvP9vQfwcb+9fce5+/CR+Dh+fx/95iS8BICXAIjHSwDk4yUAmHgJgHyND7wEABEvAZCPlwBg4iUA8vESAEC8BAASLwHoRwAgAIhHAJCPAICJACAfAQATAUA+AgAmAoB8NxUAVlbXdMOytG3bWmutbdvWzVZLr29sjn1eEAA0LEu7S7fbDXx+t9sdrNewrKGfRWNx3bAs3ev1Buv0ej3dsCz9+u3GyLamWcznVarVoZ9VqlXffXUBoN3pDO2Tu7Q7HV2r13U0Fg883mn3LejxSdsOWsfvNe12u7phWSP7Pev23Pdo3Ovg/vfm97w3G5t6HACEfb8IAPOJAACIACAfAQATAUA+AgAmAoB8BABMBAD5biIArG9sDib+fsu4idy4MwDGTe4nIUGtXh83R9Zaa12r1+cCAN5jt217LACE2b7f8V43AJivt9/S6/Wm2t4s71GY/94+XF6OBYCw7xcBYD4RAAARAOQjAGAiAMhHAMBEAJCPAICJACDfTQSAZqs1dhI37hP8cQDgnehlsrnBzzLZ3NAEzjzTIMzE0m+COc3itx/mYu7rLACgtdbNVuuzAYBJk3+tx4PKLJP/oO1O+u+tUCoFAsA07xcBYD4RAAARAOQjAGAiAMhHAMBEAJCPAICJACDfTQQAc0kkUzqy/EonkqmxE8AwABA00R8HA9FYfGjcdqczhAPrG5sjE8igMxTC7L95Cnq70xn8b++n4UEAYP48kUwNbcNv38Ls07wBwPuaei/tWN/Y1LV6feRyj7Dbm/Y9Mhf3v7fIcv+ygEq1qv+6uhYIANO8XwSA+UQAAEQAkI8AgIkAIB8BABMBQD4CACYCgHw3EQDMyfjK6trIRG3c5CrMTQC9p/qPuzTAXLfd6fhv85dXTuviInAbYSfPJnK4p5Gbr4U5OQ0DAG7m5Nd7FsCk50oAgPma+p2VcJXtBb5Hy6+GJujme2QufveYCLoJ4LTvFwFgPhEAABEA5CMAYCIAyEcAwEQAkI8AgIkAIN9NBADzdO5er6fzxeLQJH3cxCrstwCY23MXv0sLzE94A8f95ZWz8tfVoX2eZfJsTlDd09TNG8x5J7dhAWB9Y3Nkouq3T36LBACYr+mkmzpOu71x/22Yr4P5HnkvR2hY1tB2ggBg2veLADCfCACACADyEQAwEQDkIwBgIgDIRwDARACQ7yYCQGQ5+LrsoE/XpwUA72n/3uv+p5rw/vNrACetO+7nK6trQz93z3wIenwaABg39qRFAgCm2ca8txe0rvdSCa37SFCpVn0BYJb3iwAwnwgAgAgA8hEAMBEA5CMAYCIAyEcAwEQAkO8mAoA5Obdte+Qu6/M4A+BzAwDzrAfvafEmhpg3sCMAzG+fIsv9+0P4wZNt2/ofb95e+f0iAMwnAgAgAoB8BABMBAD5CACYCADyEQAwEQDku4kAYJ7S7d6Qb9xX9M0CAOYY47Yb6nT1OVwCMO5r6LyT0WkBwLxJ3rRfrScBAOaxzvsSgHHbC7oEwK9MNje03fNmK/AYwr5fBID5RAAARACQjwCAiQAgHwEAEwFAPgIAJgKAfDcRAIImemEmn2EAwPyE9nO4CWDQV8kFLS6KhAWAoJvfXRcAjLsp4Szbu+pNAKcdc9b3iwAwnwgAgAgA8hEAMBEA5CMAYCIAyEcAwEQAkO+mA4A7efJOuszJmHuZQCabmwgA+WJxsA3btvXK6tpUXwPo95V1V/0awEnfQ+9d3ElzmK8B9N7s8HP4GkDve9lstYaulV/f2NSVanXmrwGc9j1a39jUDcsaeW3M/1bMMWd9vwgA84kAAIgAIB8BABMBQD4CACYCgHwEAEwEAPluIgBMmmCZEyrvdfzjAMA8BVzr4Ym+OSn13g/Ae5f4ccu4T5bNxX3Me9O4sBPqlX9+N70XAKbdtzDLrOsHbSOy7P8tDN7Fe/38uO1d5T0yr+cPWtwzC67yfhEA5hMBABABQD4CACYCgHwEAEwEAPkIAJgIAPLdRADwfiJvLt7J+TQAYE46/T6VNSeC3vsBhJkkTjqt3G/iaH7KPOn55iQ3XyxOBQBBN6MLs0gAQBgEmPZ+BbO+R373gzAX8yaAV3m/CADziQAAiAAgHwEAEwFAPgIAJgKAfAQATAQA+W4iALgI0Gy1hr4NwHtqd2Q5/CUAYW8iOO5+ANFYXDcsa2jC2Ov1dMOy9Ou3GxOPyW8Ca4436YZ45qnu3W53AADtTsd3EtvudHStXh/76XOYRQoA3Am19yv4ut2u7yn5YbY37j0KujRjfWNT1+r1EZBw9+Pf//wf2v0awKu8XwSA+UQAAEQAkI8AgIkAIB8BABMBQD4CACYCgHw3FQBmLey3AMy1f34NIHTM5X/dAwA97uKLn5yFp8/g4y4sPXcWX/wEH/f+4yeOCwCS+f19JACMRgAARACQjwCAiQAgHwEAEwFAPgIAJgKAfAQAQAQASASAfgQAAoB4BAD5CACYCADyEQAwEQDkIwBgIgDIRwAARACARADoRwAgAIhHAJCPAICJACAfAQATAUA+AgAmAoB8BABABABIBIB+BAACgHgEAPkIAJgIAPIRADARAOQjAGAiAMhHAABEAIBEAOhHACAAiEcAkI8AgIkAIB8BABMBQD4CACYCgHwEAEAEAEgEgH4EAAKAeAQA+QgAmAgA8hEAMBEA5CMAYCIAyEcAAEQAgEQA6EcAIACIRwCQjwCAiQAgHwEAEwFAPgIAJgKAfAQAQAQASASAfgQAAoB4XxsApAsVAoBwBAD5CACYvjYASOXLBADhvkYAQP+bSwDARACQ71oBYOk5ZNz1jU3d7nR0ZPnrA4CgOQkBgAAgHgFAPgIAJgKAfAQATAQA+QgAmAgA8hEAABEAREokU9q2ba211g3LIgD8MwIAAUA8AoB8BABMBAD5CACYCADyEQAwEQDkIwAA+icANCxrMGHt9Xq6Uq1eabu1el23Ox1t27bvz79kAMhkc9pder2ejsbiBIB/RgAgAIhHAJCPAICJACAfAQATAUA+AgAmAoB8BABAv7xyPny41H6Le/r6LJmL38+/ZABIJFO61+vpfLE4eIwA0I8AQAAQjwAgHwEAEwFAPgIAJgKAfAQATAQA+QgA8lWOqr6Tf3fJZHMzbfdrBgC/CAD9vjludhyz5GFJHVbryvu4dLF0TlXOmuhx1VYiDT/WUt1Su/uH8HFzlZpKFSrwcVOFispVavBxd/cPValuwcfdSqRV9bwNHbdy1lSxdA5+rIfVukoeluDjZkpHar9chY+7d1BU+eNT+Lg7qayqNFrQcavnbbW9l4Efa/GkoXazefi42cqxShev4e9jvqwOjk7g48YzB6p8eg4f991uCj5m+fRcxTMH8HEPjk5UKl+Gj5suVlS2coz/NzebV8WTBnzc7b0M/t/cRkvtpLLwYy3UzlQiV4CPu1+uXsvfR785yeLziHi3f7jnLDx9BhnL7VOvN5io5w7zevF5xKnWaoPHzptNPct2x6HC4vOI8/DJkuN9LOj548YplSv6ot3W5nHYtq3Pm029ubU98tx7C4vOSf1UX152h/bJb/1pt734POKcnjV8t/36zVt9b2ER+t4uPo84f7h733n4ZEl8HO/vUNCc5JtKo+WYJbJ5la0cK+/j0m0nM6p40kCPqzbiSfix5o9P1T//H3rouJnSkdo7KMLH3TsoqkzpCD7uTiqr8sen8HE34klVOWtCxy2eNNR2MgM/1mzlWCWyefi4yXxZpQoV+Li7+4cqV6nBx93aS6tS3cKOe9ZUm7v4v4+H1bqKpXPwcdPFikoelvB/H3MFtV+uwseNJvdVoXYGH/dtbA8+ZqF2pqLJffi4++Wq2ssV8H8fD0sqXcT/fYylc+qwWoePu7mL/ze3VLfU1l4afqwHRycqnjmAj5sqXM/fR785yaOlF+L92527zoPFJchYbuZE1e9x27b1VbfrXR4tvXDuP34SOPa4/ZpmHK21rh7Xhp5/9+Ej5+OnT4Hr78R39azbfrT0YghUvMtWdGem1/Iq3bpzz7n/+In4ON7foaA5CS8B4CUA4vESAPl4CQAmXgIgHy8BwMRLAOTjJQCYeAmAfLwEQD5zMU/3N5erbte7RJb7lwCMGyPs+GGWaCw+WH/xxU/ORbsduK5534Nptx1ZfqXbnU7guhftNux9dfvsLgEI88uGiAAgHwEAEwFAPgKAfAQATAQA+QgAmAgA8hEAvlwAaLZaEye5s2x30vMlAMB9bH1jU3e7/zoNv9lqDX62+OIn5+27Lb2yujZ4LBqL+25n2m272wqzbVQEgIAIAPIRADARAOQjAMhHAMBEAJCPAICJACAfAeDLBYBtzwT1SwCAyHJ/ou4u5lcRLr74ydmJ7w59Uu9+/WEYABi37chy/xsAwmwbFQEgIAKAfAQATAQA+QgA8hEAMBEA5CMAYCIAyEcA+HIBIPLLK+f1242hSav5CfesXwV43QAQ9LPcYV5PWmbddr5YDL1tVASAgAgA8hEAMBEA5CMAyEcAwEQAkI8AgIkAIB8B4MsGgLsPHg2NaV4WUKvXZ9rupEmvFwDM0+bDPH/Seiura74/M2/SZ16/77futNvuTbFtVASAgAgA8hEAMBEA5CMAyEcAwEQAkI8AgIkAIB8B4OsAAO/p696JeSab07Zta9u2h24Y6Je5VKrVwePrG5s6stwHgE/G3fgblhX4/LDjuNuOLL/SDcsaPB50Y79pAGDe20ZFAAiIACAfAQATAUA+AoB8BABMBAD5CACYCADyEQC+bADQAUu+WBxa17ye3Xvtu7dxNxdcWV3Tz14uO/XT08B1wk6awywmVoz7mj7veNNuuzfFtgkAY37ZEBEA5CMAYCIAyEcAkI8AgIkAIB8BABMBQD4CwNcHAN7J/7QA4L37vblEY3H97OWyc//xE8d7k7xpJ82TFu89DGa9B0CYbfMeAP+KAOAfAQAQAUA+AgAmAoB8BABMBAD5CACYCADyEQBwAGDbtm53OjpfLI5cj+82zSUAkeU+AnjPBGh3Onp9Y3MAAJHl/in13k/Pu92ubnc6Q5cP+GUu5li9Xs/3uX7fAmAev3nPg2m3HVn2v4zCtm190W7r41oN974uEwDGRgCQjwCAiQAgHwFAPgIAJgKAfAQATAQA+QgAXzYAeG8CiMgEgKs07afriy9+chaWnocad56f3C8sPXcWX/wEf50JAAERAOQjAGAiAMhHAJCPAICJACAfAQATAUA+AgABYN4RADARAAIiAMhHAMBEAJCPACAfAQATAUA+AgAmAoB8BAACwLwjAGAiAAREAJCPAICJACAfAUA+AgAmAoB8BABMBAD5CAAEgHlHAMBEAAiIACAfAQATAUA+AoB8BABMBAD5CACYCAD/P3v3Hlt5et/3nasLJEHxyoBh1EZ8URwjrbORN3AiAa1VqYWhNJKNujWqNomA1LUM2H80NgKjgV3Lkb2WpVXkWNoaWcVAEkOW4ciSJdnaldZaay8zs3PhDO889/uN5OGdHA5nhjN8ztM/jkkdnvnxMrP8fDjZ35vAC5A4HH55OOc53O+b/B3qEQAIAKfttALA/bqfAHCaCAB9BAACgBwBQI8A4EEA0CMAeBAA9AgAHgQAPQKAAQHAggDQRwAgAMgRAPQIAB4EAD0CgAcBQI8A4EEA0CMAGBAALAgAfQQAAoAcAUCPAOBBANAjAHgQAPQIAB4EAD0CgAEBwIIA0EcAIADIEQD0CAAeBAA9AoAHAUCPAOBBANAjABi8xgJA0svgnw8GgOtbW/vhZh3/AAAgAElEQVRv0+v19v/37u5u3Lx+PbY6nfitl8892EJ8yPs+6mNTIAAcggCgRwDwIADoEQD0CAAeBAA9AoAHAUCPAEAAOG1nHQDu3r17z9str6zsv91MJhs3r1+PMcY43+0eeN/HfQxJ73txaSnxY9t73yoEgEMQAPQIAB4EAD0CgB4BwIMAoEcA8CAA6BEAXrsBYHll5djFttXpxJ2dnRhjjDs7O7HV6bzqudfGJ+LK6mrc3d3dn7+2vh7HJ6cOvN1JXo57+8E//zef+f9629vb+3928cpovHhl9NDPwUwmG3d3d+PNmzdPFAAG3274fSe97L1v1b8vAeAQBAA9AoAHAUCPAKBHAPAgAOgRADwIAHoEgNdeABifnDqwrB622M53u4mL66v5zvVh73PvZSaT3X/bk7wMvu/jbs/q2tqBtzkuADz1dD8CHPd+n3r6D+La+vqR73vvOQCGb2uM/fih+HcmAByCAKBHAPAgAOgRAPQIAB4EAD0CgAcBQI8A8NoJABevjB74rv9Ri+23Xj535OJ98croA30Mh83fe9nZ2Ulc6JNehhfno27PU09/+xKApI9h8BKAJEe93+Nu3+LSUmIAUN+nCACHIADoEQA8CAB6BAA9AoAHAUCPAOBBANAjALx2AsDede1JL8NvO/id+r1Fe/C73K/mpwB2d3djd3Fx/0n2qvX6iRbjwe/GD4aCPScNAE89fXBRP275H3zfJ7l9w+978LcAEACOOWwOBAA9AoAHAUCPAKBHAPAgAOgRADwIAHoEgNdOABifnIo7Oztxvtu95/r04bcdjAV71+aPT07tv27z+vUH/jief+GlOPwkgHsvu7u7h/69wecMGH6+gJMs16/m1wDuvTzITz4QAPoIAAQAOQKAHgHAgwCgRwDwIADoEQA8CAB6BAC9o5bRw/7sNBbY4d8CkC+W9t/nYU8y2Op09t/msGvmlQFg7zkT8sXSff9dAkAfAYAAIEcA0CMAeBAA9AgAHgQAPQKABwFAjwCg9zAEgItXRve/s3/UM+IPfvd/79KB+7k9Tz396gLAXqTY3d09dP5hCAB9BAACgBwBQI8A4EEA0CMAeBAA9AgAHgQAPQKA3lkHgMHv/B+1/A++3VGXHigDwFNPf/va/vv91X0EgD4CAAFAjgCgRwDwIADoEQA8CAB6BAAPAoAeAUDvLAPA4BP6HbdQDz4fweCvCbyf2/PU068+ADz19LcvBbifJ0EkAPSNNBdXe4Om8uWQb7TD8OvVrs7kQnVu0T03XJ6Ysd/WcnshjGXy9rm5WitMF6v2udPFasjVWva5Y5l8KLcX7HMvT8yERnfFOrc6txiuzuTstzXfaIepfNk+d7ZcD5lKwz53MlcKhWbHPnd0Ohtq80vWuY3uSrgyOWu/raXWfBjPFuxzs9VmmCnV/I+PhUrI1f2Pj9dmc6HS6drnXhqfts+sdLrh2qz/8TFXb4XpQsU+d6ZUC9lq0z53PFsIpda8fe6VyVn719za/FIYnc7ab2uxNRcmckX73EylcSaPj0k7ySd+9/fkfvU3frP3sU9+yjJrz+AyOvxnG5ub+392+eq1+Inf/b3e5avX9l+3sbl5z985qVq9sf9+tre3j30/e2+7u7t75NsedXs+8bu/1/vN3/lE7yNPfOxVfc4GPwcn/TsfeeJjvd/8nU+c6GM8Tb/2r3+r99tP/hv5/Wj4DB22k4wsbNzoDcrVmqE2vxSGX682VaiE9sqGe24YzxTst7W5tBZmSjX73EqnG/KNtn1uvtEOlU7XPnemVAvNpTX73PFMIcyvb1nntlc2wlShYr+ttfmlkKs17XOLzblQas3b52arzVBfWLbPncyXQ2d10zp3fn0rjGeL/sfHxdUwW67b55bbC6HQ7PgfH+utUJ1btM+dLlZDa3ndPndsNm+f2VpeD9PFqn1udW4x5Ost+9xCsxPK7QX73NlyPTQXV/1fc7NF+9fczupmmMyX7be10V0JmUrDPrfUmj+Tx8ekneRTn/l9uV//rY/1nvy3n7HM2jO4jA7/2dz8wv6fra6txU995vd7q2tr+6+bm1/Y/zvZfCHu7u7G3d3dmM0X7nlfg0bHxvffx+2dnSPfdu99770sLi0f+fZH3Z5Pfeb3ex978lO93/r4k6f2eTvp2//Wx5/sfezJT53oYzxNv/HE7/Q+8bu/J78f3fP4eMhOwiUAXAIgxyUAelwC4MElAHpcAuDBJQB6CxtcAuDAJQB6XAKgN/gy/GfDvyZw+GXw1+ENPkHfUb/G76mn/yCura8f+X6HP5a96+5jPP4Z+I+6PU89fTqXAHzr5XMnup2DuASgjwBAAJAjAOgRADwIAHoEAA8CgB4BwIMAoEcA0DtuGZ3vdhMX9OHr3+8nAJzkZfDtB6//H4wOD3J7HiQArK2v78/91svnHujXARIA+ggABAA5AoAeAcCDAKBHAPAgAOgRADwIAHoEAL2TLKOtTifu7OzEGGPc2dmJrU7nnrfJF0v7lwDcz3fpTxIA7mdhVgSA5ZWV/dsfY/+3EBz1RIRJCAB9BAACgBwBQI8A4EEA0CMAeBAA9AgAHgQAPQKAwWf/oPdbv/Okd+bT3/41gKf9fhUB4DQQAPoIAAQAOQKAHgHAgwCgRwDwIADoEQA8CAB6BACD13AASFqykwLA3nMSLK+snHjO3vMSrK2vn+jtP/FvP9077mNTIAAcggCgRwDwIADoEQD0CAAeBAA9AoAHAUCPAEAAOG0PUwB46uk/2L+uf2dnJ1br9Tg+OXXP+x6fnIrVen3/coCbN2+e+OMiAPQRAAgAcgQAPQKABwFAjwDgQQDQIwB4EAD0CAAGBIB9hz3hYdLL8JMgHocA0EcAIADIEQD0CAAeBAA9AoAHAUCPAOBBANAjABi8xgLAcY57DoBvvXwutjqduHn9+j2/2WDz+vXY6nTit14+d99zB58DwIkAcAgCgB4BwIMAoEcA0CMAeBAA9AgAHgQAPQIAAeC0PawBQIUA0EcAIADIEQD0CAAeBAA9AoAHAUCPAOBBANAjABgQACwIAH0EAAKAHAFAjwDgQQDQIwB4EAD0CAAeBAA9AoABAcCCANBHACAAyBEA9AgAHgQAPQKABwFAjwDgQQDQIwAYEAAsCAB9BAACgBwBQI8A4EEA0CMAeBAA9AgAHgQAPQKAAQHAggDQRwAgAMgRAPQIAB4EAD0CgAcBQI8A4EEA0CMAGBAALAgAfQQAAoAcAUCPAOBBANAjAHgQAPQIAB4EAD0CgAEBwIIA0EcAIADIEQD0CAAeBAA9AoAHAUCPAOBBANAjABgQACwIAH0EAAKAHAFAjwDgQQDQIwB4EAD0CAAeBAA9AoABAcCCANBHACAAyBEA9AgAHgQAPQKA3tbuMwQAAwKABwFA72EKAA7sJHrsJB4EgGQcNgMOmx4BwIMAoEcAOGW75+P1u9MHXre1+/HYXvn8wQCwe95yewkAegQAPQKABzuJHjuJx8O2kxAAOGxyHDY9AoAHAUCPAHD6bvQei4MRYCv8k7i09c/jXgDY2v3juLX7ccvtJQDoEQD0CAAe7CR67CQeD9tOQgDgsMlx2PQIAB4EAD0CwKuxnvj6rfAL8Ubv++NeBNgK7483eo/GtZtLvet31+ON3vcnBIDk9/VqEQD0CAB6BAAPdhI9dhKPh20nIQBw2OQ4bHoEAA8CgB4B4F6z5XpsLa/Hcnsh/vnXn4v/6ld/Lf7dx/5e/J//15+Jn//TP4tffva5+Fsf/0R85rlvxpfO/4f4z3/uH8YvP/uleGVyNv53//17Yr39qZit/Y04mf/u+LGP/T9xK/zNeKP3aFzY+GyvsfS+eKP3aKzN/8e/nrceF7d+Or548U8TP5bG4mqcLlbjyvbOA91eAoAeAUCPAODBTqLHTuLxsO0kBAAOmxyHTY8A4EEA0CMAxPj1b70Uf+If/eP4N7/v++PbvvM74yOPPBJHRkaO9da3vjV+x3d8x5Fv8+jbRuI//snXx/f8j6+P/9X3PBLf8IaR+PrXj8RHHun/+eOPPx5feumlWK/X4x/+4R/Gd77znfe8jze+8Y3xkUceia973evim9785vimN705vvGNb4w//Hf+TvzIEx+LCxs3Dr29BAA9AoAeAcCDnUSPncTjYdtJCAAcNjkOmx4BwIMAoEcAiPHXfuOj+8v25z73ufiWt7wlfv3rX48LCwsH/PAP//D+233P93zPPX9+/vz5+L3f+71xZGQkfuADH4if/OQn45e//OX4L/7Fv4jb29tx+GVkZCT+xE/8RJyYmIjXrl2Lb3/7208UHga96U1vin/6588eensJAHoEAD0CgAc7iR47icfDtpMQADhschw2PQKABwFAjwBwMAB89rOfjSMjI7Fer8f3v//98fHHH4+PP/54vH79enzb2952YPmOMe7/+bvf/e64vr4e3/KWt8SRkZH4rne9K16+fDlub2/HV155Jf7pn/7pPX9373+/973vjS+99FJ861vfGn/2Z382joyMxG63G7vd7v7brK+vxxhjXF9fj6+88sr+6x955JH46KOPxr/1Q387/vTP/G/x1/71b8Zf+9e/uX/bCAB6BAA9AoAHO4keO4nHw7aTEAA4bHIcNj0CgAcBQI8AcHgA+NrXvhb/6I/+KI6MjMSNjY3EAPCFL3wh/sZv/Eb8sz/7swMB4NFHH41PPPFE7PV6cWlpKX7kIx/p/zh/QgB43/veFx9//PH4Az/wA/GTn/zkPQHg7W9/e3z55Zf3I0CMMX7uc5878icD9m4bAUCPAKBHAPBgJ9FjJ/F42HYSAgCHTY7DpkcA8CAA6BEA7g0Ar3/962O9Xo+XL1+O3/zmN+PIyEjc2tpKDAAvvfRS/PSnPx0vXLhwIAA88sgj8cd+7MfitWvX4uOPP77/d7739Y/ENw0FgMcee+yeBf7Nb35z4o/7P/nkk7Hb7cYvfelL8dd//ddjvV6P9Xo9/vIv/3J85JFH4nPPPUcAMM8lAOgRADzYSfTYSTwetp2EAMBhk+Ow6REAPAgAegSAw38CYDAArK+v31cAGBkZie965zvjj/zIj9yzyP/tN7xuPwB893d/d3z/+98ff/u3fzt+4AMfiE888UQcGRmJv/qrvxpjjHFzczOOjIzE7/qu74qTk5NxZGQkPv300/FLX/pS/MxnPrP/EwEf/ehH4w/90A/F973vfQQA81wCgB4BwIOdRI+dxONh20lGyu2F3qBrM7kwU6qF4derXRyfCvl62z03nB8dt9/WXK0ZLk/M2OdOFSphLJO3zx3L5MNUoWKfe3liJuRqTfvc86PjodSat87N19vh4viU/bbOlGrh2kzOPnc8VwwTuZJ97tXpbJgt1+1zXxmbDIVGxzq31JoPF676Hx+z1Ua4MjlrnzuZL4fxbMH/+DibC9PF6oG5/+AffvuZ93/qp37q1ALAf/uuf3joj+jvBYB3vetd8Z/9s38Wv/KVr8Rf+qVfii+99FIcGRmJX/3qV2OMMVar1TgyMhJ/7ud+Lv70T/90fP755+PIyEj80pe+FH//93//ngDwjW98I46MjMS923buypj/a269FS6NT9vnTherYWz2DB4fs4UwmS/b516ZnA3ZasM+98JV/9fcQqMTXhmbtN/WTKUeRqcy9rkTudKZPD6yk+ixk3g8bDvJyOrNO71B5fZCaK9shOHXq2WrzbB4/aZ7bpgpVu23dWHjRsjX2/a5zaW1UJlbtM+tzC2G5tKafW6+3g4LGzfsc2eK1bCyvWOdu3j9ZshWm/bb2l7ZCOX2gn1ubWE51Lsr9rml1nzorG7a52YqjbC0dcs6d2V7J8yUavbbOr++FQqNjn1uY3E1VOeX/I+PnW5oLa8fmLu3kMcY42c/+9n45je/+UAAuHDhQrx9+/Z9B4B/9D+899gA8J73vCd+6EMfilevXo1XrlyJrVZrP0DEGOOzzz4bR0ZG4oULF/afi2BkZCRms9n41FNPxZGRkfgLv/AL++/3//zwz8d/9f9+JO7dtulCxf457m5uh1ytZZ/bWl4PlU7XPrc6vxQai6v2uYVGJ8yvb/m/5pZq9q+5S1u3QqbSsN/WubXrodics8+td1fO5PGRnUSPncTjYdtJuASAH7eR48dt9LgEwINLAPS4BCAmLuin8RMAP/WTPxm/4zu+4573/eNvesN+AHjve98bP/ShD8WVlZX9CPHzP//z+//7wx/+cPy+7/u+/bd/6aWX4tNPP73/GwEGY8J73/veODabP3B7uQRAj0sA9LgEwIOdRI+dxONh20kIABw2OQ6bHgHAgwCgRwCI8d3v+fZ36n/yJ39yPwCcO3cuPvPMM0cGgOeffz5+6lOfii+88MI9AeBnfuZn4r/8l/8y/vIv//K3fyrgLW+Ibx5Y2r/ru74rfuhDH9pf6GOMsdFoxBhjXFxcjCMjI/GJJ56I//7f//v95yjodrsxxhhfeeWV+Pjjjx8IAJO50oHbSwDQIwDoEQA82En02Ek8HradhADAYZPjsOkRADwIAHoEgMOfBPAjH/lI/PEf//H4tre97dBfA/jud787vv3tb4+/8iu/ck8AeMc73hH/5E/+JN65cyeOjY3FkZGR+MbXve7Ad+3f9ra3xR/90R/dX+gHX7761a/ux4fhl52dnTgyMhL/8A//cP99jYyMxF/8v3/pwO0lAOgRAPQIAB7sJHrsJB4P205CAOCwyXHY9AgAHgQAPQLAvQHgDW94Q7xw4cL+r9jbM/zj/MN/Pj09feDXAL7jHe+IxWIx3rx5M7744otxZmbmwBK/9137GGOs1+v7z/w/+OP/IyMj8eWXX447Ozv7ry8Wi/HDH/5w/Kf/9J8eeF8/+INvj0//h/904PYSAPQIAHoEAA92Ej12Eo+HbSchAHDY5DhsegQADwKAHgHgYAA4LY8++mh84oknYq/Xi0tLS/GDH/zgsX9nMAB0u904MjISX/fXPzEwMjISt7e3D/xkwPBPADz2994Rl2/cPnB7CQB6BAA9AoAHO4keO4nHw7aTEAA4bHIcNj0CgAcBQI8AcK+Pfuzj8Qd+8Afj3/qhv33gx+uTPPbYfx1LpVJ817veEXd3d+PExER8+eWX4jvf+ffj5cuX4/bN7Tg6ej5+8J+8Pt7oPRpv9B6N5c7f2L8MIMb+EwnuPev/3suTTz65/9MB09PT8a1vfWt8/vnn9/987wkAP/3pT+9/jP/Nj/zduH5798BtIQDoEQD0CAAe7CR67CQeD9tOQgDgsMlx2PQIAB4EAD0CwL1euTYZW8vr8d3vee/+cv3Rj370wI/bf/8P/mD8mf/9/4j/0we+M7Y7V+OFCy/HCxcuxMceeyx+9j/+X/Gf/9x3xj/+z78SK7Xz8fK1X4g3eo/G9Vv/YD8C7AWAbrcbf/EXf3H/Ov/bt2/Hz3/+8/HRRx+N9Xo93r59O37hC1+IH/zgB/cjwPr6eszn83FkZCROTk7uf0x//8f+wT23hQCgRwDQIwB4sJPosZN4PGw7CQGAwybHYdMjAHgQAPQIAK/GeuLrt8I/iTd63xev352O1++u7y/9G3c+19va/fhf//+/9+2/s3s+3ug9Fq/fbZz67SUA6BEA9AgAHuwkeuwkHg/bTkIA4LDJcdj0CAAeBAA9AsDp+/byv/f/+wFg7eZSrx8EHos3eo8O/b31uBX+3al/LAQAPQKAHgHAg51Ej53E42HbSQgAHDY5DpseAcCDAKBHADhdW7vPxK3dZw687kbv++LK9v8SV2/e6fXf5o8TAoAGAUCPAKBHAPBgJ9FjJ/F42HYSAgCHTY7DpkcA8CAA6BEATtu9lwVshffHubV/19sLAHuvu757Xn57CQB6BAA9AoAHO4keO4nHw7aTEAA4bHIcNj0CgAcBQI8AoLcV3h+rncKBAHB99zwB4JQRADwIAHoEAAt2EgN2kj4CAIdNjsOmRwDwIADoEQAcpmO5vXAwANyN8bAnETxNBAA9AoAeAcCDnUSPncTjYdtJCAAcNjkOmx4BwIMAoEcA8EgOAHoEAD0CgB4BwIOdRI+dxONh20kIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kbyRXa/UGXRqfDuPZYhh+vdq5K2Nhtlxzzw0vXLxiv63TxUq4cHXcPncskw+XJ2ftcy9PzoaxTN4+98LV8TBdrBw5N1ttnrpvvXI5ZCqNoHjfh5kpVcPLl69ZZ2arzd54phAujk/Z516ZyoTR6Yx97sWxyTCeLdrnvnjpapgt16xzM5VGeOHiFfttncyXw4Wr4/a5V2ey4fLkrH3upfHpMJbJ2+eeuzIWposV+9y/unDJPnO6WAnnrozZ545l8uHS+LR97uXJ2XB1Jmufe+HqeJjMl+1zX7h4xf41d7ZcCy9eumq/rRO5Unjl2oR97uh05kweHy+OT4XxTEEy96j/NmQn0WMn8fjr/467Zy4/AVCjtqlR2/T4CQAPfgJAj58A8OAnAPT4CQAPfgJAj58AsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kjwDAYZPjsOkRADwIAHoEAA8CgB4BwIMAoEcAsGAnMWAn6SMAcNjkOGx6BAAPAoAeAcCDAKBHAPAgAOgRACzYSQzYSfoIABw2OQ6bHgHAgwCgRwDwIADoEQA8CAB6BAALdhIDdpI+AgCHTY7DpkcA8CAA6BEAPAgAegQADwKAHgHAgp3EgJ2kb2T15p3eoHJ7IbRXNsLw69Wy1WZYvH7TPTfMFKv227qwcSPk62373ObSWqjMLdrnVuYWQ3NpzT43X2+HhY0b9rkzxWpY2d6xzl28fjNkq037bW2vbIRye8E+t7awHOrdFfvcUms+dFY37XMzlUZY2rplnbuyvRNmSjX7bZ1f3wqFRsc+t7G4GqrzS/7Hx043tJbX7XNztVbobm7b504XKvaZ3c3tkKu17HNby+uh0una51bnl0JjcdU+t9DohPn1Lf/X3FLN/jV3aetWyFQa9ts6t3Y9FJtz9rn17sqZPD6yk+ixk3g8bDvJSLm90Bt0bSYXZkq1MPx6tYvjUyFfb7vnhvOj4/bbmqs1w+WJGfvcqUIljGXy9rljmXyYKlTscy9PzIRcrWmfe350PJRa89a5+Xo7XByfst/WmVItXJvJ2eeO54phIleyz706nQ2z5bp97itjk6HQ6Fjnllrz4cJV/+NjttoIVyZn7XMn8+Uwni34Hx9nc2G6WLXPvTQ+HXL1ln3uuStj/q+59Va4ND5tnztdrIax2TN4fMwWwmS+bJ97ZXI2ZKsN+9wLV/1fcwuNTnhlbNJ+WzOVehidytjnTuRKZ/L4yE6ix07i8bDtJFwCwI/byPHjNnpcAlH1bVEAACAASURBVODBJQB6XALgUW5zCYAalwB4cAmAHpcAWLCTGLCT9BEAOGxyHDY9AoAHAUCPAOBBANAjAHgQAPQIABbsJAbsJH0EAA6bHIdNjwDgQQDQIwB4EAD0CAAeBAA9AoAFO4kBO0kfAYDDJsdh0yMAeBAA9AgAHgQAPQKABwFAjwBgwU5iwE7SRwDgsMlx2PQIAB4EAD0CgAcBQI8A4EEA0CMAWLCTGLCT9BEAOGxyHDY9AoAHAUCPAOBBANAjAHgQAPQIABbsJAbsJH0EAA6bHIdNjwDgQQDQIwB4EAD0CAAeBAA9AoAFO4kBO0kfAYDDJsdh0yMAeBAA9AgAHgQAPQKABwFAjwBgwU5iwE7SRwDgsMlx2PQIAB4EAD0CgAcBQI8A4EEA0CMAWLCTGLCT9BEAOGxyHDY9AoAHAUCPAOBBANAjAHgQAPQIABbsJAbsJH0EAA6bHIdNjwDgQQDQIwB4EAD0CAAeBAA9AoAFO4kBO0kfAYDDJsdh0yMAeBAA9AgAHgQAPQKABwFAjwBgwU5iwE7SRwDgsMlx2PQIAB4EAD0CgAcBQI8A4EEA0CMAWLCTGLCT9BEAOGxyHDY9AoAHAUCPAOBBANAjAHgQAPQIABbsJAbsJH0EAA6bHIdNjwDgQQDQIwB4EAD0CAAeBAA9AoAFO4kBO0kfAYDDJsdh0yMAeBAA9AgAHgQAPQKABwFAjwBgwU5iwE7SRwDgsMlx2PQIAB4EAD0CgAcBQI8A4EEA0CMAWLCTGLCT9BEAOGxyHDY9AoAHAUCPAOBBANAjAHgQAPQIABbsJAbsJH0EAA6bHIdNjwDgQQDQIwB4EAD0CAAeBAA9AoAFO4kBO0kfAYDDJsdh0yMAeBAA9AgAHgQAPQKABwFAjwBgwU5iwE7SRwDgsMlx2PQIAB4EAD0CgAcBQI8A4EEA0CMAWLCTGLCT9BEAOGxyHDY9AoAHAUCPAOBBANAjAHgQAPQIABbsJAbsJH0EAA6bHIdNjwDgQQDQIwB4EAD0CAAeBAA9AoAFO4kBO0kfAYDDJsdh0yMAeBAA9AgAHgQAPQKABwFAjwBgwU5iwE7SRwDgsMlx2PQIAB4EAD0CgAcBQI8A4EEA0CMAWLCTGLCT9BEAOGxyaTtsZ/EfIwQADwKAHgHA46wCwFl8zSUAeJxlANjYCQQAIQKARfp2kjN4fGQn6SMApO2wEQDkCAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADwIAMnSd9gIAHIEAD0CgB4BwIMAoEcA8CAA6BEAPNhJ9AgAHocGgO7mdm9Qvt4K9YXlMPx6teliNXRWN91zw3imEBY2bvScmktrYaZUs8+tdLoh32jb5+Yb7VDpdO1zZ0q10Fxas88dzxbD/PqWdW57ZSNMFSr221qbXwq5WtM+t9icC6XWvH1uttoM9YVl+9zJfDl0Vjetc+fXt8J4tuh/fFxcDbPlun1uub0QCs2O//Gx3grVuUX73OliNbSW1/2Pj2fwNbe1vB6mi1X73OrcYsjXW/a5hWYnlNsL9rmz5XpoLq6eydfcubXr1rmd1c0wmS/bb2ujuxIylYZ9bqk1fyaPj7laM9Tml+xzpwqV0F7ZcM9N305yBo+PezuJe8+dLddDa3ndPnciVwoLGzfumTvS6K70Bk3mSiFXb4Xh16tdnc6GSqfrnhsujU/bb2upNR+uzebsc7PVZpgqVA7MbS6uyk0XqyFXawXHrEFjmXwotxfsc69MzoZGd8U6tzq3GK7O5Oy3Nd9oh6l82T53tlwPmUrDPncyVwqFZsc+d3Q6G2rzS9a5je5KuDI5a7+tpdZ8GM8W7HOz1WaYKdXsc6cLlZCr+x8fr83mQqXTtc+9PDFjn1npdMO1Wf/jY67eCtOFin3uTKkWstWmfe54thBKrfkz+ZpbX1i2zq3NL4XR6az9thZbc2EiV7TPzVQaZ/L4OJUvh3yjbZ97dSYXqnOL7rnB+fj4UOwk+bJ97lShErLVpn3utdlcKLXm7XMvT8yE+sLyPXO5BCBtP27DJQByXAKgxyUAelwC4NFc5BIANS4B8OASAD0uAfBgJ9HjEgAPngMgWfoOGwFAjgCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsfYeNACBHANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJa+w0YAkCMA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS99hIwDIEQD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl77ARAOQIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAydJ32AgAcgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBk6TtsBAA5AoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLL0HTYCgBwBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWfoOGwFAjgCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsfYeNACBHANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJa+w0YAkCMA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS99hIwDIEQD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl77ARAOQIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAydJ32AgAcgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBk6TtsBAA5AoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLL0HTYCgBwBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWfoOGwFAjgCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsfYeNACBHANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJa+w0YAkCMA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS99hIwDIEQD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl77ARAOQIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAydJ32AgAcgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBk6TtsBAA5AoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLL0HTYCgBwBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWfoOGwFAjgCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsfYeNACBHANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJa+w0YAkCMA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwODQAtJbXe4NmitVQbM2F4derjWXyob6w7J4brkxl7Le1OrcYJrJF+9x8ox1my3X73NlyPeQbbfvciWwxVOcW7XNHpzOhtbRmnVtfWA5jmbz9thZbc2GmWLXPzVSbIVtr2edOFyqh1Jq3z702mwuN7op37tJaGJ32Pz5WOt0wmSvZ5+bqrZCpNPyPj6VaKDQ79rnjmUKozS/Z557F19za/FIYzxTscwvNTpgt1fyPj5VGyNX9j4+TuVKodLpn8jW3ubhqndvoroRrszn7bS23F8JUvmyfm62dzeMjO4neme4kZ/D4yE7SNzK3dr03KFNphEqnG4ZfrzaZK4XW0pp7brg2k7Pf1kZ3JUwXKva5pdZ8yNZa9rnZWiuUWvP2udOFSmh0V+xzx2bzobO6aZ3bWloLk7mS/bZWOt2QqTTsc/ONdig0O/a5s+V6qM4t2uf+9Rdn69zO6mYYm83bb2t9YTlMF6v2ucXWXMjVz+DxsdoM5faCfe5Uvhyai6v2uWfxNbe5uBqm8mX73HJ7IWSrTfvcXL0Viq05/9fcYjXUF5bP5Gtue2XD+zV3eT1MZIv221qbXwozpZp9bqHZOZPHR3YSvTPdSc7g8ZGdpI9LANL24zZcAiDHJQB6XAKgxyUAHlwCoMclAB5cAqDHJQAe7CR6XALgwXMAJEvfYSMAyBEA9AgAegQADwKAHgHAgwCgRwDwYCfRIwB4EACSpe+wEQDkCAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADwIAMnSd9gIAHIEAD0CgB4BwIMAoEcA8CAA6BEAPNhJ9AgAHgSAZOk7bAQAOQKAHgFAjwDgQQDQIwB4EAD0CAAe7CR6BAAPAkCy9B02AoAcAUCPAKBHAPAgAOgRADwIAHoEAA92Ej0CgAcBIFn6DhsBQI4AoEcA0CMAeBAA9AgAHgQAPQKABzuJHgHAgwCQLH2HjQAgRwDQIwDoEQA8CAB6BAAPAoAeAcCDnUSPAOBBAEiWvsNGAJAjAOgRAPQIAB4EAD0CgAcBQI8A4MFOokcA8CAAJEvfYSMAyBEA9AgAegQADwKAHgHAgwCgRwDwYCfRIwB4EACSpe+wEQDkCAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADwIAMnSd9gIAHIEAD0CgB4BwIMAoEcA8CAA6BEAPNhJ9AgAHgSAZOk7bAQAOQKAHgFAjwDgQQDQIwB4EAD0CAAe7CR6BAAPAkCy9B02AoAcAUCPAKBHAPAgAOgRADwIAHoEAA92Ej0CgAcBIFn6DhsBQI4AoEcA0CMAeBAA9AgAHgQAPQKABzuJHgHAgwCQLH2HjQAgRwDQIwDoEQA8CAB6BAAPAoAeAcCDnUSPAOBBAEiWvsNGAJAjAOgRAPQIAB4EAD0CgAcBQI8A4MFOokcA8CAAJEvfYSMAyBEA9AgAegQADwKAHgHAgwCgRwDwYCfRIwB4EACSpe+wEQDkCAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADwIAMnSd9gIAHIEAD0CgB4BwIMAoEcA8CAA6BEAPNhJ9AgAHgSAZOk7bAQAOQKAHgFAjwDgQQDQIwB4EAD0CAAe7CR6BAAPAkCy9B02AoAcAUCPAKBHAPAgAOgRADwIAHoEAA92Ej0CgAcBIFn6DhsBQI4AoEcA0CMAeBAA9AgAHgQAPQKABzuJHgHAgwCQLH2HjQAgRwDQIwDoEQA8CAB6BAAPAoAeAcCDnUSPAOBBAEiWvsNGAJAjAOgRAPQIAB4EAD0CgAcBQI8A4MFOokcA8CAAJEvfYSMAyBEA9AgAegQADwKAHgHAgwCgRwDwYCfRIwB4EACSpe+wEQDkCAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADwIAMnSd9gIAHIEAD0CgB4BwIMAoEcA8CAA6BEAPNhJ9AgAHocGgOrcYm/QWCYfMpVGGH692uWJmVBszrnnhgvXJuy3Nd9oh9GpjH3uTKkWxnNF+9zxXDHMlGr2uaNTmZBvtO1zXxmbDJVO1zq32JwLlydm7Lc1U2mEsUzePncyXw5ThYp97thsLmSr/sfHS+PTodSat86tdLrhlbFJ+23N1Vvh6nTWPne6WA0TuZL/8TFbCLPlun3ulcnZUGh07HPP4mtuodEJVyZn7XNny/Uwni3Y507kSmG6WLXPvTqdDbl660y+5pbbC9a5pdZ8uDQ+7X98rDXDtZmcfe5UoXImj4/sJHpnupOcweMjO0nfyPKN271BpeZcaC6theHXq2XK9bCwccM9N0wVyvbbOrd2PeSqTfvcencllNsL9rnl9kKod1fsc3PVZphbu26fO12shKWtW9a5Cxs3QqZct9/W5tJaKDXn7HMrc4uhOr9kn1tsdEJred0+d7ZcC93Nbevcpa1bYbpYsd/WzupmyNda9rm1heVQ7nT9j4+t+dBYXLXPzVYaYX59yz73LL7mzq9vhWylYZ/bWFwN5da8/z7V6YbawrJ9br7WCp3VzTP5mrt4/aZ1bndzO8yWa/bb2l7ZCIV62z63Or90Jo+P7CR6Z7qTnMXjIztJb/nG7R6XAKTtx224BECOSwD0uARAj0sAPLgEQI9LADyqc1wCoMYlAB7sJHpcAuDBcwAkS99hIwDIEQD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl77ARAOQIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAydJ32AgAcgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBk6TtsBAA5AoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLL0HTYCgBwBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWfoOGwFAjgCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsfYeNACBHANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJa+w0YAkCMA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS99hIwDIEQD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl77ARAOQIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAydJ32AgAcgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBk6TtsBAA5AoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLL0HTYCgBwBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWfoOGwFAjgCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsfYeNACBHANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJa+w0YAkCMA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS99hIwDIEQD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl77ARAOQIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAydJ32AgAcgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBk6TtsBAC5tAWA+sIyAUCMAKBHAPBIWwA4i0CatgBQaHQIAGIEAItU7SRnFUjZSfoIACk6bAQADwKAHgFAjwDgQQDQIwB4EAD0CAAe7CR6BAAPAkCyVB02AoAHAUCPAKBHAPAgAOgRADwIAHoEAA92Ej0CgAcBIFmqDhsBwIMAoEcA0CMAeBAA9AgAHgQAPQKABzuJHgHAgwCQLFWHjQDgQQDQIwDoEQA8CAB6BAAPAoAeAcCDnUSPAOBBAEiWqsNGAPAgAOgRAPQIAB4EAD0CgAcBQI8A4MFOokcA8CAAJEvVYSMAeBAA9AgAegQADwKAHgHAgwCgRwDwYCfRIwB4EACSpeqwEQA8CAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADwODQCFRqc36MrkbJjMl8Pw69UuXB0P2WrDPTe8eOmq/bbOlmvh4tikfe54thhGp7MH5ubrbbkrU5kwni0Ex6xBr1ybCDOlqn3ui5euhlytZZ2bqdTD+dFx+22dyJXCpfFp+9yrM9lwbTZnn3tpfDpM5sv2ueeujIVstWGdm6u1wouXrtpv63SxGi6OTdrnjmXyYXQ6a597ZXI2jGeL9rkXro6H2XLNPveFi6P2mbPlWrhw1f/4OJ4thssTM/a5o9PZMJbJ2+deHJsM00X/19yXL18L2WrTOjdbbYRzV8bst3WqUAkXx6fsc6/N5s7k8fHyxEyYyJXsc8+PjodMpe6eG5yPj2e9k0zkSmF0KmOfOzqdDePZon3uxbHJMFuu2ee+fPlayNfb98wd2dgJvUG1+aUwv74Vhl+vVmh0wsr2jntuyFQa9tu6tHUrlFrz9rmd1c1Q767Y59a7K6GzummfW2rNh6WtW0fO3bzTO3W5Wits7ISgeN+HWb15JxSbc9aZm3d6vYWNG6E2v2Sf21peD+2VDfvc2vxS6G5u2+cWGp2wduuude7GTgi5Wst+W5e2boVKp2uf21ndDM2lNfvcRnclzK9v2eeWWvNhZXvHPjdbbdpnrmzvhFJr3j53fn0r1BeW7XObS2uhs7ppn1vpdMPS1i373Hy9HdZv71rnrt26GwqNjv22Ll6/Gapzi/a57ZWNM3l8rC8sh4WNG5K5R/23ITuJ3tza9VBfWGYnEctWm2H99u49c7kEIEU/bsMlAB75OpcAqHEJgN7mHS4BcOASAD0uAfDgEgA9LgHwYCfR4xIAj8N2EgJAig4bAcCDAKBHANAjAHgQAPQIAB4EAD0CgAc7iR4BwIMAkCxVh40A4EEA0CMA6BEAPAgAegQADwKAHgHAg51EjwDgQQBIlqrDRgDwIADoEQD0CAAeBAA9AoAHAUCPAODBTqJHAPAgACRL1WEjAHgQAPQIAHoEAA8CgB4BwIMAoEcA8GAn0SMAeBAAkqXqsBEAPAgAegQAPQKABwFAjwDgQQDQIwB4sJPoEQA8CADJUnXYCAAeBAA9AoAeAcCDAKBHAPAgAOgRADzYSfQIAB4EgGSpOmwEAA8CgB4BQI8A4EEA0CMAeBAA9AgAHuwkegQADwJAslQdNgKABwFAjwCgRwDwIADoEQA8CAB6BAAPdhI9AoAHASBZqg4bAcCDAKBHANAjAHgQAPQIAB4EAD0CgAc7iR4BwIMAkCxVh40A4EEA0CMA6BEAPAgAegQADwKAHgHAg51EjwDgQQBIlqrDRgDwIADoEQD0CAAeBAA9AoAHAUCPAODBTqJHAPAgACRL1WEjAHgQAPQIAHoEAA8CgB4BwIMAoEcA8GAn0SMAeBAAkqXqsBEAPAgAegQAPQKABwFAjwDgQQDQIwB4sJPoEQA8CADJUnXYCAAeBAA9AoAeAcCDAKBHAPAgAOgRADzYSfQIAB4EgGSpOmwEAA8CgB4BQI8A4EEA0CMAeBAA9AgAHuwkegQADwJAslQdNgKABwFAjwCgRwDwIADoEQA8CAB6BAAPdhI9AoAHASBZqg4bAcCDAKBHANAjAHgQAPQIAB4EAD0CgAc7iR4BwIMAkCxVh40A4EEA0CMA6BEAPAgAegQADwKAHgHAg51EjwDgQQBIlqrDRgDwIADoEQD0CAAeBAA9AoAHAUCPAODBTqJHAPAgACRL1WEjAHgQAPQIAHoEAA8CgB4BwIMAoEcA8GAn0SMAeBAAkqXqsBEAPAgAegQAPQKABwFAjwDgQQDQIwB4sJPoEQA8CADJUnXYCAAeBAA9AoAeAcCDAKBHAPAgAOgRADzYSfQIAB4EgGSpOmwEAA8CgB4BQI8A4EEA0CMAeBAA9AgAHuwkegQADwJAslQdNgKABwFAjwCgRwDwIADoEQA8CAB6BAAPdhI9AoAHASBZqg4bAcCDAKBHANAjAHgQAPQIAB4EAD0CgAc7iR4BwIMAkCxVh40A4EEA0CMA6BEAPAgAegQADwKAHgHAg51EjwDgcWgAWL+92xtUnVsMc2vXw/Dr1fL1dli+cds9N8yW6/bbunj9Zig25+xz2ysbobawbJ9bW1gO7ZUN+9xicy4sXr9pn5upNMLarbvWucs3bod8vW2/rXNr10Ol07XPbSyuhubSmn1updMN8+tb9rm5WiusbO9Y567duhsylYb9tnY3t0OpNW+f21peD/Xuiv/xcX4pdFY37XMLjU5Y2rpln3sWX3OXtm6FQqNjn9tZ3QzVuUX73Hp3JbSW1+1zS6350N3cts/NVpth9eYd69yV7Z2Qq7Xst3Vh40Yotxfsc5tLa2fy+MhOondWO0lndTPU5pfYScQO20lGis253qDRqUyYKlTC8OvVXrk2EXK1pntuePnyNfttzVTq4eL4lH3uRK4Urs7k7HOvzuTCRK5kn3txfCpkKnX73HNXxkKh0bHOzdWa4ZVrE/bbOlWohCuTs/a5Y5l8GM8W7HOvTM6G6WLVPvfC1fGQq7WscwuNTjh3Zcx+W2fLtXBpfNo+dzxXDNdmz+DxcTobJvNl/+Pj2GTIVhv2uWfxNTdbbYSLY5P2uZP5chidytjnXpvNhfFc0T730vh0mC3X7HPPj46HfL1t/prbCheujttv60ypFi5PzPgfH7OFM3l8ZCfRO6udZDJfDlens+wkYoftJFwCkKIft+ESAA8uAdDjEgA9LgHw4BIAPS4B8OASAD0uAfBgJ9HjEgAPngMgWaoOGwHAgwCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsVYeNAOBBANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJaqw0YA8CAA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS9VhIwB4EAD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl6rARADwIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAyVJ12AgAHgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBkqTpsBAAPAoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLJUHTYCgAcBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWaoOGwHAgwCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsVYeNAOBBANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJaqw0YA8CAA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS9VhIwB4EAD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl6rARADwIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAyVJ12AgAHgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBkqTpsBAAPAoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLJUHTYCgAcBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWaoOGwHAgwCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsVYeNAOBBANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJaqw0YA8CAA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS9VhIwB4EAD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl6rARADwIAHoEAD0CgAcBQI8A4EEA0v1bLgAAGWRJREFU0CMAeLCT6BEAPAgAyVJ12AgAHgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBkqTpsBAAPAoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLJUHTYCgAcBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWaoOGwHAgwCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsVYeNAOBBANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJaqw0YA8CAA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwODQALG3d6g0qNjqhsbgahl+vNluuhfn1LffcMJkv229rZ3UzZKsN+9zawnIotebtc0ut+VBbWLbPzVYbobO6aZ87VaiExes3rXPn17fCbLlmv62NxdVQqLftcyudbqjOLdrnFurt0Fxas8+dKVXDwsYN69zF6zfDVKFiv63tlY2Qqzbtc6vzS6HcXvA/PjbnQr27Yp+bqdTD3Np1+9yz+Jo7t3Y9ZCp1+9x6dyUUGx373HJ7IVTnl+xzc9VmaK9s2OdOF6uhu7ltnbuwcSPMlKr229paXg/5Wsv/+Di3eCaPj+wkeme1k9S7K6HUnGMnETtsJxmpzS/1Bo1nCyFbbYbh16tdmZwNpda8e254ZWzSflsLzU64Op21z50t18NErmSfO5Erhdly3T736nQ2FJod+9yLY1OhOrdonVtqzYcrk7P225qtNsNYJm+fO1WohOli1T53LJMPuZr/8fHyxEwotxesc6tzi+Hi2JT9tuYb7XBtJmefO1Oqhcl8+QweH4shU2nY545OZUKxOWefexZfc4vNuTA6lbHPzVQaYTxbsM+dzJfDTKlmn3ttJhfyjbZ97qXx6VDpdK1zy+2FcHlixn5bc/VWGJv1Pz5OF6tn8vjITqJ3VjtJptIIE7kiO4nYYTsJlwCk6MdtuATAg0sA9LgEQI9LADy4BECPSwA8uARAb2mLSwAc2En0uATAg+cASJaqw0YA8CAA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS9VhIwB4EAD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl6rARADwIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAyVJ12AgAHgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBkqTpsBAAPAoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLJUHTYCgAcBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWaoOGwHAgwCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsVYeNAOBBANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJaqw0YA8CAA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS9VhIwB4EAD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl6rARADwIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAyVJ12AgAHgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBkqTpsBAAPAoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEAA8CQLJUHTYCgAcBQI8AoEcA8CAA6BEAPAgAegQAD3YSPQKABwEgWaoOGwHAgwCgRwDQIwB4EAD0CAAeBAA9AoAHO4keAcCDAJAsVYeNAOBBANAjAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJaqw5bGAHAW/zGSpgCweP0mAcCAAKBHAPBIUwDobm4TAAwIAHoEAItU7SRpDAAP005CAEjRYSMAeBAA9AgAegQADwKAHgHAgwCgRwDwYCfRIwB4EACSpeqwEQA8CAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADwIAMlSddgIAB4EAD0CgB4BwIMAoEcA8CAA6BEAPNhJ9AgAHgSAZKk6bAQADwKAHgFAjwDgQQDQIwB4EAD0CAAe7CR6BAAPAkCyVB02AoAHAUCPAKBHAPAgAOgRADwIAHoEAA92Ej0CgAcBIFmqDhsBwIMAoEcA0CMAeBAA9AgAHgQAPQKABzuJHgHAgwCQLFWHjQDgQQDQIwDoEQA8CAB6BAAPAoAeAcCDnUSPAOBBAEiWqsNGAPAgAOgRAPQIAB4EAD0CgAcBQI8A4MFOokcA8CAAJEvVYSMAeBAA9AgAegQADwKAHgHAgwCgRwDwYCfRIwB4EACSpeqwEQA8CAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADwODQCd1c3eoNlyPZTbC2H49WoT2WJoLq6654arM1n7ba0vLIepfNk+t9iaC5lq0z43U22GYmvOPncqXw61+SX73GszudBe2bDObS6uhols0X5bK51umCnV7HNz9VbIN9r2uTOlWqh0uva545lCaC2tWee2VzbCtZmc/bbW5pfCdKFin1todkK21vI/PlYaodSat8+dzJVCo7tin3sWX3Mb3ZUwmSvZ55bbC2G2XLfPzdZaodDs2OdOFypn8jV3bDYfWsvr1rmtpbUwninYb2t1bjHMFKv2uflG+0weH9lJ9M5qJym15kOm0mAnETtsJxlpLa/3Bs0Uq6HYmgvDr1cby+RDfWHZPTdcmcrYb2t1bjFMZIv2uflGO8yW6/a5s+V6yDfa9rkT2WKodLr2uaPTmdBaWrPOrS8sh7FM3n5bS635MF2o2Odmqs2QrbXsc6cLlVBqzdvnXpvNhUZ3xTt3aS2MTvsfHyudbpjMlexzc/VWyFQa/sfHUi0Umh373PFMIdTml+xzz+Jrbm1+KYxnCva5xdZcmClW/Y+PlUbI1f2Pj5O50pl8zb06kw3NxVXr3EZ3JVybzdlva7m9EKbyZfvcbO1sHh/ZSfTOaicpNDthtlRjJxE7bCfhEoAU/bgNlwB4cAmAHpcA6HEJgAeXAOhxCYAHlwDocQmABzuJHpcAePAcAMlSddgIAB4EAD0CgB4BwIMAoEcA8CAA6BEAPNhJ9AgAHgSAZKk6bAQADwKAHgFAjwDgQQDQIwB4EAD0CAAe7CR6BAAPAkCyVB02AoAHAUCPAKBHAPAgAOgRADwIAHoEAA92Ej0CgAcBIFmqDhsBwIMAoEcA0CMAeBAA9AgAHgQAPQKABzuJHgHAgwCQLFWHjQDgQQDQIwDoEQA8CAB6BAAPAoAeAcCDnUSPAOBBAEiWqsNGAPAgAOgRAPQIAB4EAD0CgAcBQI8A4MFOokcA8CAAJEvVYSMAeBAA9AgAegQADwKAHgHAgwCgRwDwYCfRIwB4EACSpeqwEQA8CAB6BAA9AoAHAUCPAOBBANAjAHiwk+gRADxedQA4NzrWU/rys8+FFy6NBvWcQedHx8IX/+JZ68xzo2O9b71yOXz169+0z33uxfPhmedfsM995vkXwnMvnrfP/erXvxn+6sIl+9wv/cXXw7kr16xzX7g0Gr787HP22/rN8xfDX/zlX53q3JM8oBEA9AgAHgQAPQKABwFAjwDgQQDQIwB4EAASEAA8CAB6BAAPAoAeAcCDAKBHAPAgAOgRACwIAAYEgD4CAAFAjgCgRwDwIADoEQA8CAB6BAAPAoAeAcCCAGBAAOgjABAA5AgAegQADwKAHgHAgwCgRwDwIADoEQAsCAAGBIA+AgABQI4AoEcA8CAA6BEAPAgAegQADwKAHgHAggBgQADoIwAQAOQIAHoEAA8CgB4BwIMAoEcA8CAA6BEALAgABgSAPgIAAUCOAKBHAPAgAOgRADwIAHoEAA8CgB4BwIIAYEAA6CMAEADkCAB6BAAPAoAeAcCDAKBHAPAgAOgRACwIAAYEgD4CwGswAMSBl8HXP/fi+XDYnykRAPQIAB4EAD0CgAcBQI8A4EEA0CMAWBAADAgAfQQAAoAcAUCPAOBBANAjAHgQAPQIAB4EAD0CgAUBwIAA0CcJAK25hbi1vR3v7u4O7pvx1u2duLy2Hou1xj1/hwAw1usur8Q7d+7uf77u3Lkbl9fW73tRP+0AsH3rVrx1eyf2egfe9f6/6db2dmzNLRz6/lwBYG1jM25tb+9/rA8aAB7k/jsorQHgtO6/J3lAIwDoEQA8CAB6BAAPAoAeAcCDAKBHAPCwBYDN61v3LInDL3d3d+95f2kPALdu7xz6+bpz5+59LVGnHQCO/Qf965et7e3E9+kKAMMfz4MEgAe9/w5KYwA4zfvvSR7QCAB6BAAPAoAeAcCDAKBHAPAgAOgRADwsAaC7vHKiRTHpu4JpDgAnWTo3r2890MI++Hp1ADjs3/a/lADwau6/g9IWAFbX1o/9nN3P/fckD2gEAD0CgAcBQI8A4EEA0CMAeBAA9AgAHpYAMPjjvzHGuLaxeeDvzXWX4q3bO1wCMBAAirXGgcX17u5uLNYavWKt0Rv+EfTjfvR8z+DfGXz9aQWAwT/b2t4+8GdJ3+39LyUAvJr776A0BYBMsXzq99+TPKARAPQIAB4EAD0CgAcBQI8A4EEA0CMAeFgCwFGL4nH2AkB3eSVu37p14P3sXXs9/HcOe9vu8sqhs+vtTm9tYzPeur1zzzXed+7cjdu3biXOGVwO7+7uxq3t7cSFpru8Enu9Xuz1eod+HIMBYHnou6eDt3P4z4YX0pP8Owy+XhEATvLnewHgfj6Pe9Y2NuPwYn7nzt3E5x0Y/jiO+7hO8/47+O9/fevgT3S47r+3b+9Y7r+DFod+auI07r8neUAjAOgRADwIAHoEAA8CgB4BwIMAoEcA8DiTAHCSBWLPl599Lty6ffvQ5W34O8tHXXOc9PYnXRJv3d458PeGl8/Bl16vF+vtzoH3P/hEeb1e79gAMHw7Bpfa1tzCkR/bSf4dBl9/lgFgZ+fOfX0ej/vcD3+uTvJvq7z/HneffC3dfwfdvHXwzJ7G/fckD2gEAD0CgAcBQI8A4EEA0CMAeBAA9AgAHpYAMPzdzL3/6D/JIrV98+aRi83gdw+PW572XpKWqOP+zuC1ysctoDHeuyTdbwAY/i7uUR/vSRay4b8z+HrHJQBJTwR4e+f4f6/h2zb8fpNe7vffVnn/Pe4++Vq6/w66e/fgjNO4/57kAY0AoEcA8CAA6BEAPAgAegQADwKAHgHAwxIA6u1OL+lXxe29HPVjx8OLwuDSVW93ent/L+lt977r2JpbuOdX1Q0vb8Mf0+BzALTmFva/Izo8586du/sf+1HXit/vJQDDH8/9LN9nFQAOe0laWB/08zj87zj4neV6u9NL+twOfzz3+xwAp3X/DSHExeXVA+9Xdf/de/0Ll0ZDsVLrOe6/93P/PO7PCQAnQwDQIwB4EAD0CAB6BAAPAoAeAcDjNR0A9pad4e9qD78MXw89/J3XoxaP4952ePEZ/rHj4Y/lsCcBHP4u7Vx3af/9zHWXjpxxnNdqALh1e+eeHyl/0M/j8PteXlu/50f+j/s4H+TXAJ7G/bfZnusd9iSAp33/3Xv98JMAKu+/93P/PO7Pk5zkAY0AoEcA8CAA6BEAPAgAegQADwKAHgHA49AA0Oiu9AZN5kohV2+F4dd/7ZvfCvejM7/Q27px49AlqtHu7L/P4T876v2e5G2PepvhP/tPn/+T3QeZcz8f87CvPPvc7h994Yu7qjmHvf0X//yZ3ft9X0kfw1EvIYSYL1VO/G972J8fd9nA6vr6se/rj77wxd0vP/uNxH9f5f33P/3xf9792l/+1QPdr+73/rv3+q9+45u7n/uTL+6edM5JPo4HuW+cxpzhx54kM6VamC3XT/S2p2kiVwz5Rts+d3QqE6pzi9a59YXlcHlixn5bi625MJbJ2+dmKo0wXaza507lyyFXu/drrtrVmVwotxfscy+NT9tnltsL4epMzj43V2+FyVzJPne6WA2ZSsM+dyyTD8XWnH3ulcnZUJtfss6tzi2G0amM/bYWmp0wni3Y586W62fy+HjYTqJ2dTobKp2ue244i8fHUms+XJs9g8fHWitM5cv+r7mFSshWm/a512ZzZ/L4eHliJtQXlu+ZO9Ld3O4Nytdbob6wHIZf/81zr4QHtbK2HkM4+M3AnZ07ce/Ph5eEo97XSd72qLcZ/rPPf/HLuyd5H8e93M/n49m/enH3C1/52u43z70Shj8vR30cIfRONOew9/fn33h+96hZD/I5zxRLvRvbB5+/4cb2zUP/bU/6eWzPLxz7kwcra+tH/tt+4Stf233m+RcT/32V998//uJXdv/ypfMnul+92vvv3uu/8cLLu3/y5T/fPeztjnt50M9NCOHI9zP4Zye9/w4/9iQpteZDub1worc9TblaMzS6K/a5U4VKmFu7bp27sHEjTORK9tvaXFoLmUrDPrfS6YZic84+t9Boh9r8kn3uTKkW2isb9rnj2aJ9ZntlI8yUava59YXlkK+37HOLzblQ6XTtczOVRmgurdnnTubLYX59yzp3bu16mCpU7Le1sbgaslX/42O5vXAmj4+H7SRq08Vq6KxuuueGs3h8bC2vh9ly3T63Nr8UCo32GXzN7YTq3KJ97my5fiaPjxO5UljYuHHP3FO/BOAww88IHmM89Me9j3o/J3nbo95m+M8OuwTgZGvTyT7mYa+13wJw1Nu8ms/jXHcpHvWEeXd3d4/8t32QSwBO4/77pb/4ejjsEoCjbu+D3H/3Xj98CcChn7RDXh7088JvAfDgEgA9LgHw4BIAPS4B0OMSAI9Gl0sA1LgEwOOhuwRg+BWHHbbTWKIOWzqGl7yH8TkAjvpd9fdrMACsbWwemHMav0f9sMXuLALAaX4ehz8fwx/L8J+dZgC4n9v4MD4HwGnefwetDP2bnMb99yQPaAQAPQKABwFAjwDgQQDQIwB4EAD0CAAelgBQrDV6d+7cjctr6/c8Gdzwr3Ub/O7t8KLQ6/UOPGlZvd059NnNT/O3ABy1bN65c/fAx3RutP8d6uEnprvf3wJQrDUOfEx3d3djsdboFWuNe56M7qRL3ODfGXy9IgC05hbi8FI7+NsAHvTzuLaxGbvLKwfuR/V258hfKzf87PYra+txLwAc9wSCp3n/DSHE+e7SgY9bdf/de/1wAFDefwdliuVTv/+e5AGNAKBHAPAgAOgRADwIAHoEAA8CgB4BwMMSADavbw3vJ4e+DH838LjfWb5965bk96gfFgDOjY4d+2zwMd77HdqT/B71wQBw0s/b4O93P+sAcNzL8KJ55+7R/7YxHv+d7qSXre3te6LBUS/DS/1p3n+Pu6+o7r+HBQDl/XfQN89fDKsJP5kx/HI/99+TPKARAPQIAB4EAD0CgAcBQI8A4EEA0CMAeFgCwHFL/N7L8OJ2bnSslykUj1xYhpeh42YlLU/3GwBO8ivhhq9Df5AAcNztOey2PIwBIOm7xvlypXf3mAgw+Hkc/k7//XxOjvo8DoeJ07z/HndfUd1/jwoAqvvvcAD4i7/8q3Ca99+TPKARAPQIAB4EAD0CgAcBQI8A4EEA0CMAeNieA6C7vBK3b92Kw4vH3d3duLW9fejvcv/ys8+FFy6NhuW19Xue+O3W7Z3E7yB2l1cS3/aoH10eXk6OCgB7kj6mu7u7cfvWrcRruO/nEoDhOYOL1N6Po9/P8jR8Gwdf/6ABYGt7O966vXPPj6fvLYm3bu/E5bX1Q3/E+5nnXwjPvXg+8d/2sM/j2sZm4sy9WUd9vGsbmwfuf71eL27funXofe807r+D/4bDvxVBef/de31SAFDdfwftBYDTvP+e5AGNAKBHAPAgAOgRADwIAHoEAA8CgB4BwOOheBLAo+wFAPWcQedHx8JJAsBpOywAnJbDlvwHDQCv1l4AcH+eT/tJAE/qqN8CoHJUAFAaDACn5SQPaAQAPQKABwFAjwDgQQDQIwB4EAD0CAAeBIAEBADP7SUA6BEAPAgAegQADwKAHgHAgwCgRwCwIAAYEAD6CAAEADkCgB4BwIMAoEcA8CAA6BEAPAgAegQACwKAAQGgjwBAAJAjAOgRADwIAHoEAA8CgB4BwIMAoEcAsCAAGBAA+ggAr8EAcJjnXjwfnnn+BftcAoAeAcCDAKBHAPAgAOgRADwIAHoEAAsCgAEBoI8AQACQIwDoEQA8CAB6BAAPAoAeAcCDAKBHALAgABgQAPoIAAQAOQKAHgHAgwCgRwDwIADoEQA8CAB6BAALAoABAaDvxAFAjcOmN7++1WsurXHYxA47bEprt+72Sq15+21dvH6zV19Yts8lAOgRADwIAHoEAA8CgB4BwIOdRI8A4EEASJaqw0YA8CAA6BEA9AgAHgQAPQKABwFAjwDgwU6iRwDwIAAkS9VhIwB4EAD0CAB6BAAPAoAeAcCDAKBHAPBgJ9EjAHgQAJKl6rARADwIAHoEAD0CgAcBQI8A4EEA0CMAeLCT6BEAPAgAyVJ12AgAHgQAPQKAHgHAgwCgRwDwIADoEQA82En0CAAeBIBkqTpsBAAPAoAeAUCPAOBBANAjAHgQAPQIAB7sJHoEgP+/HTs0ABgIYhi2/9Zd4Apj8gIaISBuCAC3p8YmADQEgD0BYE8AaAgAewJAQwDYEwAaPsmeANAQAG5PjU0AaAgAewLAngDQEAD2BICGALAnADR8kj0BoCEA3J4amwDQEAD2BIA9AaAhAOwJAA0BYE8AaPgkewJAQwC4PTU2AaAhAOwJAHsCQEMA2BMAGgLAngDQ8En2BIDG3yf5AHGenZJ2AFXeAAAAAElFTkSuQmCC" (yes, the link of the image is long) so....can u update the hack? :)

You should put all shortcut keys on the readme so people know what to use: e.g

Keys

T = toggle bot on/off
R = toggles lines on/off
Etc

So i installed all of this and now this is what happened
http://puu.sh/i7bIH/3e023f182a.png

Someone PLEASE help me!!!!

The bot seems to have a lot of trouble sensing the boundaries of the room. Making the boundaries appear as an enemy would help.

In Firefox the play button wouldn't highlight to let me play so I had to change the HTML. Once I did press it, the game looked like this:
http://postimg.org/image/vc2h7chnp/