data:image/png;base64,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

is Magic on will check is JavaScript is enabled, if it isn't it will explain how to turn it on

hide mouse will well hide your mouse, to gain your mouse back use the show mouse block

show Mouse will show the mouse if it was hidden, by using the hide mouse block

is mouse hidden will report if the mouse is hidden or not

"magic" join may seem like the regular join but it actuly has multi-line(multi-line means if you hit enter it ads a new line)

repeat for n seconds will repeat the code you put into the "C" slot for n seconds

pen costume will it's a pen trails and add them into the costumes

is _ a _ ? Has a long list of functions inside of it that will output a Boolean whether or not the thing is or is not whatever you choose on the list

prime evan number number text boolean list sprite stage costume sound command reporter agent scriptprimenumbertextbooleanlistspritestagecostumesoundcommandreporterpredicateagentscriptI do not know

In base will the base of whatever the second number is such as 10 in base 10 is equal to 10 but 10 in base 9 is equal to 11

110true

function ( _ _ _ ) max similar to "is _ a _ ?" except for it has three input slots and it doesn't report a Boolean instead it applies one to the other input using the middle input as the function

+ - ̣× / ^ mod min max round by random value to < = > and or xor split by is a in base-×/^modminmaxround by<=>andorxorsplit byis ain base

link will send the user( with their permission) to whatever site you choose

https://en.wikipedia.org/wiki/%22Hello,_World!%22_program

hide mouse bool will hide the mouse if giving a true and show the most if given a false

export costume will export the costume which you provided the name of

§_costumesMenu

set the name of costume will set the name of the chosen costume to what you choose

§_costumesMenuthing

This block deletes all the variables with the names given (inside input list). Each name will make only one variable deletion, and this will be the variable found following the scope order: 'script' -> 'sprite' -> 'global'. If we have a "testing" sprite variable and also a "testing" global one, deleting "testing" will delete only the sprite one (Yes! we can also do "delete var (testing, testing)" to delete both. If one variable does not exists (in any scope) an error happens, stopping block action in that point. You can check it before with the "does var (name) exists?"block.

pt:remove as variáveis _ ca:esborra les variables _ es:borrar variables _ de:löschen var _

This block sets the given value (last input) to the variable named with the name givent (var input). It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds). If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block.

ca:assigna a _ el valor _ es:asignar a _ el valor _ pt:altera _ para _ de:setze var _ auf _ §_getVarNamesDict

This block reports the value of the variable with the name given. It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds). If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block.

pt:o valor de _ §_getVarNamesDict

This block turns on (show) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input). It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'. No errors if that variable does not exist.

ca:mostra la variable _ es:mostrar variable _ pt:mostra a variável _ de:zeige var _ §_getVarNamesDict

This block turns off (hide) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input). It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'. No errors if that variable does not exist.

ca:amaga la variable _ es:esconder variable _ pt:esconde a variável _ de:verstecke var _ §_getVarNamesDict

pt:a resposta a _ de _ enviando _ e cabeçalhos _ GETGET POST PUT DELETEhttps://snap.startr.cloud

This block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list). If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.

pt:cria as variáveis _ _ ca:crea les _ variables _ es:crear las _ variables _ de:erstellen _ var _ globalglobal sprite script

This block reports "true" if there is a variable with this given name (input slot) in that context. It can be a global, sprite or script variable. Otherwise it reports "false".

pt:a variável _ existe ca:existeix la variable _ ? es:existe la variable _ ? de:existiert var _ ? err_reset

Max min takes a number and makes shere it is not to big and not to small.

5101

The first block in velocity blocks. Velocity calculates the velocity between to positions to get from one too the other. Also it bounces of edges.

§_destinationsMenu§_destinationsMenu

Average averages the numbers in a list.

Matrix makes a squar of positions.

-2020

Position x y gives you the position you gave it.

Gives you a list of indexes for the item you are looking for.

thing

# gives you a number that you gave it.

All but item num in list gives you a list with every thing except for the number you gave it.

Comment reporter holds a comment and report.

comment

Comment block hold a comment.

comment

Comment C-block hold a comment and runs the code in it.

comment

Edge is a if on edge,bounce that doesn't add velocity.

480360

For i = item in list is like a for i = 1 to 10 but mixed with a for each item in list.

iitem

And does not do anything it just makes the code more clear.

Then does not do anything it just makes the code more clear.

Gravity pulls you in a direction by a setron amount.

§_destinationsMenu

Express goes towards a position.

§_destinationsMenu

invert pen down will pick the pen up if it is currently down and put the pen down if it is currently up

invert hide will hide the Sprite if it is currently being shown and show the spray if it is currently being hidden

000100

is prime will report a Boolean for whether or not the inputted number is a prime ( a prime number is a number that any other number can multiply into)

0true

is divisible by will check if the first number is divisible by the second number (what I mean by that is it checks it if there's no remainder)

backwords word will flip the word

word

xor is a xor gate( that means that it's a exclusive order it only does one or the other)

true

rotate list will rotate the list by the given value

error

autoauto default none context-menu help pointer progress wait cell crosshair text vertical-text alias copy move no-drop not-allowed grab grabbing e-resize n-resize ne-resize nw-resize s-resize se-resize sw-resize w-resize ew-resize ns-resize nesw-resize nwse-resize col-resize row-resize all-scroll zoom-in zoom-out00cursorxylet world = this.parentThatIsA(WorldMorph) let cursorStyle = 'auto' if (cursor instanceof SVG_Costume) { cursorStyle = `url(${cursor.contents.src}) ${x} ${y}, auto` } else if (cursor instanceof Costume) { cursorStyle = `url(${cursor.contents.toDataURL()}) ${x} ${y}, auto` } else { cursorStyle = `${cursor}` } world.worldCanvas.style.cursor = cursorStyle

Throw an error. Makes a red halo appear around the script that runs it, with the input text shown in a speech balloon next to the script, just like any Snap! error. This is useful to put in the second script of SAFELY TRY after some other instructions to undo the partial work of the first script.

pt:lança o erro _ pl:błąd _

Allows reading global settings programmatically. Eisenberg's Law: Anything you can do from the user interface you should be able to do in your program, and vice versa. This library is just a beginning; there are many UI controls outside of the Settings menu.

pt:o valor da configuração _ ca:paràmetre _ pl:ustawienie _ Project notes Project name User Presentation mode Language Zoom blocks Stage size Stage scale Retina display support Long form input dialog Plain prototype labels Input sliders Execute on slider change Clicking sound Turbo mode Flat design Keyboard editing Visible stepping Thread safe scripts Prefer smooth animations Flat line ends Codification support Inheritance support Hyper blocks support Visible palette

Allows changing global settings programmatically. This block is for Boolean (checkbox) settings; use SET VALUE for numeric or text values. Eisenberg's Law: Anything you can do from the user interface you should be able to do in your program, and vice versa. This library is just a beginning; there are many UI controls outside of the Settings menu.

pt:altera o valor da configuração _ para _ ca:fixa el paràmetre _ a _ pl:ustaw flagę _ na _ Presentation mode Retina display support Long form input dialog Plain prototype labels Input sliders Execute on slider change Clicking sound Turbo mode Flat design Keyboard editing Visible stepping Thread safe scripts Prefer smooth animations Flat line ends Codification support Inheritance support Hyper blocks support

Allows changing global settings programmatically. This block is for numeric or text settings; use SET FLAG for Boolean (checkbox) values. Eisenberg's Law: Anything you can do from the user interface you should be able to do in your program, and vice versa. This library is just a beginning; there are many UI controls outside of the Settings menu.

pt:altera o valor da configuração _ para _ ca:fixa el valor de _ a _ pl:ustaw wartość _ na _ Project notes Project name Language Zoom blocks Stage size Stage scale Visible palette

Catch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.

pt:tenta executar _ e, em caso de erro _ , executa _ ca:prova de forma segura _ i si _ _ pl:bezpiecznie spróbuj _ a jeśli _ _

Catch errors in a reporter. Evaluates its first input. If that expression successfully reports a value, this block reports that value. If the expression causes a Snap! error, then the final input slot is evaluated with the text of what would have been the error message in variable ERROR. SAFELY TRY then reports the value of that final expression. Sometimes you'll want to throw an error in the final expression. You can put an ERROR block inside a CALL block to do that.

ca:prova de forma segura reportant _ i si _ reportant _ pl:bezpiecznie spróbuj zgłosić _ a jeśli _ zgłoś _ err

list to code will take the text based form of coding known as lisp and turn it into snap blocks

code to lisp will take snap blocks and turn it into the text program known as lisp

not to clone checks if the current Sprite is not a clone

var

hide text will hide the text in the first slot when the Boolean is false and show it when it is truethe text

errorerror

Any magic will report if JavaScript is on

add to list will add the item to the list but only using reporters

hold well "holds" a list of blocks

Cipher will Cipher the text using the 2 ciphers

hello worldabcdefghijklmnopqrstuvwxyz 0123456789abcdefghijklmnopqrstuvwxyz 0123456789

pop will remove a item from the list and report what the item was

1=1 last=$_last ~ all=$_all parent=$_parent

is negative will report a Boolean for whether or not the number is negative

-1

magic pack is a pack of all the magic blocks (which is a list of blocks that I find helpful)

110

GEThttps://snap.startr.cloud

-1

word

hello worldabcdefghijklmnopqrstuvwxyz 0123456789abcdefghijklmnopqrstuvwxyz 0123456789

block

Vacume pulls the velocity objects towards the chosen position.

5100§_destinationsMenu

pt:lança o erro _ pl:błąd _

error

000100

distance to direction reports the distance from the current direction to the future direction

§_directionDialMenu

search will search for blocks in a pack with similar names

block Try changing the spelling

notification will send a notification to the user

Magic!This is a notification

copy to clipboard will copy whatever text you give it to the users clipboard

text

initialize script variable will instantiate and set the script variable

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/luRS1yOFcy7Eq5OWUy2sl8nYQecuO8q5pP3Qd/Yfk8lfXQR5lKHsQeaNuQ0NpQRPatEFbYn+jCLyqLrDh0YJWwBkBfCy+1rnCxgvm0+TbZmne1sImgW1Kt7xUh0oyHBcbW5ZvPe4WCX4EQgIiwfEg8kbgLA/yo9LzLJdXnap7yTUIH0UOBMwzgbmUXNOysu7fnU8eZWotSx3qNjSUFjQzpU0btEWbB5E3eICXWtuCt7jRW547bBhbxqaXb32bLeJr8bnblG6aVPm04tss/eOHbbzypVneLtTsJtWg4YtmynQIggQ4Ah8jU4IfgZCASHAkUBI4l5aRNmkbHuAFnhrejjrS1sAMz/C+NF8xtkcQxqax7Rj5S5En87m/tLb7AMzW+FLk8AuO4f8tdxiB70KK87vs+leM6kJyghcBl1Em3wQ4ghkj02EE18+FR3iFZ3i/yoBMyLY+hytxcFa9qm1j4ytxsKlmS5EDvndTQs0QJp9RZ1NVbGu8H3Wqo9YZzH0GXwKWrr2+MMLNankneJHGKNMP3nk7rgAAEABJREFUuutRQQZkQSZkQ0ZkJW09rlZq+Sz55aakWImDTTVrvldk1wGYnyZTx2Kdyalb9xci+J5F1zKr/vXJ/tpp5hCAWD/VYNSs3era65HRY5rSuHONjMhaqb6RHQzAwp1C2iX1LjNrbL2wF3Y8q0l8Lz74WTop189TZv5Z3t9Ptvb7LIbX4Huuth98CT4adJqRbqUBiPVTDUbZsximWh/ZwQAsriNjMEpVHle+sXULwq5oDZfbuw/ebQDmgfD6Zd8zAMNdYzyX9bC/NRDhkMZLp1uCHcLXIKNBZxcj3anaIvCCTROI1SbAbCqNlMpj89g+fSAlvmPjFR+ML46Nr6X42W0Azn/Y+56fMTJ2hBKUmJJ7hk6sdXGwbDwioLBDeE/TrM/qBKzADOzAECyfpRljfWyfPkBfiJG/VHjasy/eZQDmjqv+ttHv3A7KM5HsdsYBzaURaz1kYpr59fhrMxUju1h5XY6veS2Bna7zvYAlmILtPErx1kIm+gJ9Il4u4+YMX4xPjpvLMNztMgDv+Y7rWTP6riRrXtF33tYNDMGCIMGzsEylsvv3Ways/i8EwLLB9CA/wBisf+Vs5H/tC/QJ+sZGJFpcjL365N0FYO60uONa3MI20mCVyRsvJtiIOMIIhqDAdClBYityxSoHGIM1mIN9rHze8uVyTp+gb7iUtTKPCOCT8c2POdtO2V0A3uudlg8z5i4fR+ODVgw0WJ+8jnhj4GdPPBCIwR4dbEVu+gZ9ZCvyLC3HHn3zrgIwd1jcaS1tWFtoj59ne5VtvDGMHbqMwlif3IJuUpYBHaALdJKyHFfe6SP0let1+t/LSYBvxkcv1+L6LeXrs7AcB3llO5/noP2luOl04XFO3Zjq8O7jSuSNHbqbW4eMCeiJvKALdIJu0NHE6tEVp6/QZ6JjLAGG9uajdxOAdX3mwDNnCdhgVCzyoo28EL2xl6T/WHM8iLzxiEzSgmyYeXRzEHlDV6mLSZ+h76Qux9L846Px1Uu329de6PTdBOCDjuJCg7k1+opZxssGUpYLp847jFlzTFmOPfGOrhqd5Wm/7pG+Qx/ak+58yKqYJT/b5orDLgIwv7qha02FKyhW7hcCbCjR6bTs11V6/zOSYlpz17/ik57aGo7RGbpDh01Cgv/Rd+hDCbK+Ksv4anz2qkws1HjcAdgTCParG9OBZCMJuzqn11y/BuuIB9Hp5trW/NfXxnMcMBo+iLyh0+corVObPkRfWqf1dFvdi8/efACuPyXnjipdU1yeczaQ6N17ktNAPNZykHQd9vLajr9Fgu9BVKeJ3lDRl+hT8SMdD4f4bHx3PByF4WTzAfjwj2RHQWE0PkK1PkrOBpKRYlFm89N42nFfomTOlalS8vokh/Jb+NGHl+wsr3r9ln3LO+uiVSU/pJS/ug7yKEPZpg51S3lpaClNrZN0f0e36NgVypjK0afoWzHxFDsve/DdSXfIMQP6eZbsXbbx7OqYrL7yv77T2/HMeiGBR4fsB184hKajo6JMg+SvQHuSN/jXAPmXtvue5fJaFPKSiQbhTA56XSBjXUme1/0/+0geZSib5VLUmdZVGg2tvNHrO23Qlrb9dg3M8CKJ/KHjhv8ivVehpti31jQLfDc+fE0eQredh25gTfqvOmX1XfY7rDV5i7Ft1qqKPJKdp44A1aJBppZ3go5jlVWKEeQ06B3OZ3klgJS1/NAg+SvQKuYEzqUYoy1tu7gG5oYXxRDe4BFel+JlTjvoGgxr1f2c+mvVoW/Rx9ZqP7V28d348NT4nsJvPqVwamV/ZJLMiGhtbHn2Th2vDjDW5sS9fdZ7NZDE+4xyKflllPnWBDkdhR7UJgmA7lIuUxKe4A084VUDcTNC1hFztD4CXrGBZRDy0wp9jL7mh9r2qWzdh0fbuZ41LYych7qfpbOH+vyKS3mQpNZOWQtkTTA6/WjQrXXdlXVY5e39Msos9HzKZ/WyGtyaEbIy8o4syBRjMMYGsAXlM5kPfY0+lwzDKzKKD8eXr8hC0KY3G4D/ymz062o534W8yjmdNbVK5E2H6geJ6E9HjAc93pSl90x07bZIB0/lefDTTPlKs5nxHRn1iAp7bAGbGBQipkzta02fi4mniHnZsi/PI8Z9NmvvZ8lKsQDsAiB3l6+JYHWuJKtE4nmdZCk5I0OdVvyhI8ZXPQoXzFMug4x6vCIzsgcZFc8AKM9FWZI3bGRG9cWr0Ofoe4s3nGCD+HJ8eoKsj7Kcj5ZIsMC/6+ZuPUHOl2eZ6bDlW53eonrX7C2XVxzt9Np+a+RnKXQU+Hu0q2ummd8W4qeGzCq0Dj6lGRWDydpcYxvYCLayNi8u7afS91xkCV1mqz59kwF46wv3voy92ZF5jn+qVEdauY4W3nghgy/Z59AhyBB44UVHgcUcGlusAxZgAjZgtKaM2EjDi85OrMmHU9va95o+eF/YrjoQ2KpP31wA5h2iLNx36NCSbhAoCil0pMAI5iY1vlOCb/4mr6xDrsVdef414sWxE2zW4iP2dsEGjAjEYLYWv9hKYzMJBGH6IH1xLaxSaRefjm9PhV9XPnPXgqmU+yht+tlFV+dz/Lue1TllOq34ShB2kcl3GdpXnF6LTN4ILr7pb5UeWIFZg121znP42Ay2gw5jx1lxSuoJhKB4DhDfom/fXAA+FGm9SGLA3oJl/V3KC1N1wRrwQJjNNOrIVxv58vyuivHOs7H6bZ8ZCFywe79gOYPCc1UYCWND2NJzlMLWpi/SJ8O2kj71Lfr2PH21/JFAp78Ox3KdO+4/XMR9dqgk+/ES/ywBoxcc09JosobJFKpOC76w0Wjp9rfWHhiCJZiC7dLyYUPY0tLtTm2PPknfnFpvT+Xx7fj4LcncCsBpi6YGfExbgvDc/6uQ19hHBJWs86iRTlu+aAePZro5ryRTm87zUmd1znLIajnWlbxcj7KUV47rNd+UkbMcqNPUreK4IdWRaAG2YCwL/2kALiq1qYWbndQcfZK+OanSDgurTW/Kx28mAPPS7i1OUfjsYzoSKXj+0CdN37R4qxEO0zfdIXpsGGKEdnmsZqhokDwCLQGTwNkEVA0WGkx/lCLvJ5G3MpPXOpeXqm5mLg7KRHPkmRQcItJc800ZylKnqSvyDq1alE7ZvHClCc60qeUX/2SiNxEn5eWsNxULto5NYVsLNjm5KfomfXRyxR1VwMfj67cicr4VQf4zb5yQPPO39bp/n+PeeMV7ffX29rCkHlifZMMQI7Sl2iX4EXA1ML7UosFI5J2ASeBsAmol/vul0oQ2bdBWqW3WIm/wAC/wtJT8YA3mYL9Um7SDbWFjnMd6xN5HY8BtS77ef0dfSUPqVA4rNZ1Eszr9dyjyZUcdU4DRYHDQu9tFd4Oez9L8GtEUPueWbQLcWQ6McAl+aq864NGbxipAsHVl8lfbB3hpeCovI+RqmWlrHe29oANXdn2Uw8ZqUdx9EAtAgz5KXw1AejMk1V434+vzLWiFKQntWMUWZAklQ1Y105cD5NfLYqOMjooISMswUUpenOTtsks3WJuVBjJGl9egy+iTUWiwBp8kDG/weA3G8I4MT5IdrI4O0MWSr7TMcnnF5gYZWzEz5r66Iiy/m8bX4/N/JyR8sokAvKUpiRC29FXJMWaHcyyXmxrXtd5DM/2Zh5sNOFSSM7Wbya+pZQJbCL2GpAnPOtJ4RQZkQaZQ7ZWqC3SCbkK10aa7pM212x67pq/SZ8fK7Tl/Kz5/EwFYHcVhz8Y4Jntexzv6ZWMMz2uOyeAjnzVHRj88GtOm5+OaESOjXTY/Kb0t2eQBmZANGVU27x900ujmexlbxeawPe+CeCIYc5/1JOJTZLbi8zcRgA9FuNHMU1YSQeXmTvqw4jrjAAZsiDnKMutxPP7CmuMAO7OzCEoEJ3UKr4wcZxOKvCKyISOyInMIdtERugpBu00T28MG2+lRXB8kb/puFMzEx8RWfH4eH7TTOLINC8N4xXonzWMh2okW2XTFRh+dSj0OIzU9lyBEMCIoEZymU4ilxjQ+kBWZkR0MptUeL42u0Nl4yedLYIPY4vOU/FOIte/6l3QexS34/uQDcJ0tM4KaZyLr1mruoA9xjn5zXZdeAh0cORt9fLalvGesixKECEY+aY/RqmrJsp6DvLH6PvORHQzAAkx80kZn6M4nzT5ayvuxL2/V9IONgofw34LvTz4A6x1sMaSkPee9ZHHenFTFMu+ixoHjyMXn31kOpci7kjzoEeTTBNhKCkaCZSWvHOpsmt8f1qD3xnnXQZ4y9E4edTigkUGrFj3V3DCfX5goNj7Jozt06JNmFy02PWGTXXlrp8Xah9fGhfa34PuTDsA/j1Icy6COBT0neTA9g2OJjfla5LDE1BqOGwfuTf5KcqZceUzHG80LoSZAihwJmJrUBFDaqUV4djsvcskJyprn9KEsdTig0dDKpAngtKGR+EibTsQmFKIdMJJK8gnVBouiQ3Q5WMhDJjZZS3w3rPRh+rIHETdHAt9PDEhZsDxl5l9/SpEy/yF5/15oineqDDi6qXWmlsdh47in1ustryM7dc5vOsL0Ym8ESAIgwVDbfCdwKf0m2Op10M9tUNaG3uEBXuBJr5/+gJHK8sZrNZ8mdiGALtHp5TLY1xK2OYf5sH15Dkfx1Ek9BiQdgI8HC8BdXeG7kEIdrZdg0UV/bhrTfDz+Mbe+Sz120OKwXcqOldG1wYwRHQFyrKxLPoGOgMcUMTRVR7lLvZBl4AFe4Ane4NFHe9AEOzD0QQ+dolsftPpoYJvYaF/+Wumqo4I+vVb7MbebegxY3QHMVS5vQtnCGsBc+YfqxXjHzFRa6BFG85yv+HmOlN29p0yeHvUysmTKV/XVjHTVmeZ6HuUH3gicytw7PMO7ns/+MBpuMCz93CjDEzqezZBDRWwUW3UoumiRGPv0ogD0NEYMIBb0ZI8mr10gWmcwBsybrv+OldljvnbU7FXiW8vSkdAxpD54i1JReHqjlk45s7tXnbH6fJn1V1eS17W8MLKsI9THmFDw3PCODNX8NV0wBEtfU9LoGF2P8f9MfmhbncMbfZq+Pafu1uukHAvyVJWT+tRDKNxPtZ8RoE/+apFD0GctS8l5i5IPnnXUd7yMAmeR0/oZgRd+sszPyE9W/EMGZGlkqudveARTxcbLTRj8hHx3NLZaq82uCHtn0zH27U5GF05MORbkC2N139wTV4eP9J3bE+L3Vn2RCEe/x7A3BVkpr72ATMjQUetLNfMGRutprJIjo0Y9eXr9nZGjjsQKDTQHqeWlquRV12dfNTC86bCcKeKHo8nTcpSlDnWhAa0JMHQWRaZGNpEjsnYWGknUekcwHinmlO1L532N5cewNtvX7lB6jH17iN+l8lKOBflSIPls5/0sWf0iSfLuE4c2LZ2eKzT8RoULm1rqMpyu2B3L5pk2FlOv2TCkdQ56TP5oYCwIThoAZ9WnwbzW0WUpB4JnJfL7UaSskFsmhMYAABAASURBVCPBj/VZRVEHZ1qOCh2HKj6jDGWpQ11GnvAGTWg3QbnupyEjf7XIAXrIPFK0L/twwbov3ykdnaN7p8IzCmGz2O6MquGqHCQvCht4tAEmFhAT2ukpXOcpMNnm8e/jJoywLdbT1/9VyfFpIh4JFJVkGliC8cSGHHbHPssyAYENQ1Pp6JRqxs5hgtycIa/iw/O9Rw1qb01Q02BL8JxDa4x3aEK7CcqZvNGm8n+Eh7G67XxoITOyK42snT92DdZgPlZuLB/dYwNj5ebmY7uKz2T55rbnUi+2Pu7C8xJlUo0JSQbglOf8QxkjGzReRce/oRqYQfd0DHdDUJ6l0NGAzsrNYOymCoGAgHCT5HTKCJCgSVBzqnAppE49YxRKAKxyedWx6CEX/V+W/WvazOQAD/ACTw1vE9hAdjAAiwnVmqJgDvbNxRP/YQPYwhMkBquGtOHBhnsyX0UO9PWe7N0mpxoT8hQ19te3TrSlyHhAntWJHgKSn0yaKTx16Mfeik9mvNTPB3cCAIFgKiuZyJER4KR6ldpsLS9NwCrkmMvyQVd6/uAlU57grVk7hteesl3JYJHJdH2APTroojkl7cWDLfS1hw1jy335a6TXEteN9hoYtNtMNSbkbUFiv+aZr8/CpqDbelLnGVUAPh+nO+S2TH3X6hBfyvw5G2AzEAGgr42udKZbmXad5AAryVl7zXJ5zbL5PNN2rrQYbV4PxeHAcb3muylTzw/u8Aiv8DzllZK1yAFs4FMm/KEDdDGhykNRbEFxeHo25IHwJSGkLV+amPQVW1+fxHygwsQEYkMg8sHI5sEoByL8z3cdSQSinSrZg6616nRgEQv/6gxzHfoGuSHIz1Jk8lxw1yCh7E0bRehaYH7O5E1xzl1w1pFTxmiSYNZRZ5hEJblieODRH/1+UzrvtchblcmrOt+X66G0jxzXa76bMlq2qVPK24XGYUowhTl4VtqvSuelkYXEkYM6DUbV5D56uOhkpIX+bGwiV9voLzE/5yjCjU4+n4LfmopzQZ/3SzV9ainGhmiMylX9H/b+5weo/qt+LiA9EHwyoX6ZFtymNFc+K+tZDjwOM6VNRpY6ynp1vsMp5aDB8I3RpEs7yk9GG82os5Z3Hb++avA7alAp9Fu/XKg8lqGuVobGEZoaTN9po2mr1pTHKg8pyIAsrBE/ZHYkgBFY0UZHdm+SYnB89mUdT9tGL3ciIW16oNnerNj6fC+jC2akGBuSC8CpLraHtEPuiEPSn0JbR4rBdj6z41WDCj5+Cku/y/J6SdYrfyc4nBBIXOswUmwCXOF2QwRtymsnfNMg95Jnk0eOMvWPNpq2RN5oGx5caLBGTHlkdCkPZr20ewhQBx31ZI8mYxvYyGjBGQVUbnaMZzOqBqkSU58PIuAMoinGBu37MyRdsYreiSbHc0i4mIqKqTN+ZWFGvwR2drzOxVLXRrNTPu1VlQQQgoJTm+WvUa/qYtQ+dVr5UGsAbAJhFj7oSs/fNRg3vJTjekM25fnNdTQMdmDY03xnMjpCV52ZDonYCLbiUHRykVC2PZkRraC6sGloxeH2k2JsGHUWtwKufV5/Ss5vQK7NR0zt/y3jjnNJfvOD2+hvKk9f1bTg2aZ/qsV5LZO6BA4CCOejh9JmhDhWjsCr06TvOlI76ppnNlZeC2RFLTwrrDFFjlr3hTXeMhNGzHcHaU2e8lKJQL9o6sr4VDO8wJPSf4dHGflrZNV2Roo12WAIls2Fw3860szQlUPR3iLP2kofYU+23Ud+cnpsfX+yAJ4rEBuIEZ7JBiWXB6XumXhtG7AeENURyeEhcaWEWuSAA/XdPJtrDs+MrM/KVyaFOP4RMAgcY8WRVcuO7m7WMhoL5Y0gN8aEFtQBoBwJphznXF6qXANqJkWeazAWUTLy8JdrSiaaR5lMCuo0dTN5hU4lcoS2DPwVmqfEmxeDwLNe9n6yTAot8woGMvIHlloW8iMlf2XryLx4Zj0YW8FmflHz9z+yYuP+KD5HKaa+/5wk/mqnFiNyf6KHp5TiHH9oVJiKCt2GK/1QzklHZkdXHtrldIo+JwC00/uudajpVJ5y7PiVXP/1EGNkybqpOsoXznuKSVFLrjKyu/mNoNkENxkfuYrjH4EZmtBWXt5oizb7qsOrlvv1/ul6gA+VHQzAoo/WNR0duJS7LY/urtdTv1XG2TYz1FYt8cw4xdT3hzC7ywt8kVqMyAPj4ZV8/d3v7Lw2lAgxHdnEM/otJNcRWuEbOkYyWS7FXLpftTg7YgLPdy6vY23llRQ6whzcFc1Ubi3ypqO5vIue5mXaXqE6fCUwKnad5brqPptGW7RJ2/AAL1004V3z3pClK580FAMWeTWuI7DV9jLquRxTdNemh81gO+30Z68Vu4L3UD9Lx1d91eHBF60t0EktRizW6X0o98gDGj4IbYSGOjT8XxTS1BJmZPDUSOY8ber5rOuaY4ASaBjN9YFe1ZIx6tUA0Bv4NQgVOq581cDFo0bOAamvzbnp2nAGD/DS8NRDCFmQCdl6igiYgE1fPumF/gfG+uX00RuAp6ain7KdAQ7rQLY+0GRvVkw+oJfJBTMijxEPSOQPKZEm8JaT1O5uQkNZfI+POkLzcEPf+504Ixh1/vjtm2bcTjUYZAQFt9IivLCiyIdnWJRmMURT83Od6n3Ns246TPs2m6Vy91G5LPRHIIY3eOxqEpka2apu2agDNopBwXnfAcZg3ZffTr/Q1HuFds74NbaDDY2XnFzCu61P5uBSITIfcOFqvS9iBLFiPQ6mtZxMAE7xLSfTVDGtdH1WR3jQY1q1IKVr0ZFmreMoz9SfGcFM2UnLBiENLsOBo5KcYNAnIjR0OvA1qx9x0OiRqSwvTPvmfQQiSIc3eIRXeG6zhGyNjFX/jR8YFdWwXYI1eLXp911P0WWbhspybKc9e53XolCEmfGZzNtB7RJfMLnidiukFCvoc0loov4a7tQuQmypTExTT+q0B4PXLNxLyRnBzKnLyxx0xObEk3rS0ZEyDveU968NE0zYtNTFq9IvCFq6dphMX4NXeIb3LpmQFZm78kgDKzDjvO8gUCv9rC//Nh1dotPbNNfzxobUllzLu5YLYvOujbfKxeQLWqytcplSrEjGKVSvkgyvS1jdqegfhSzR/m0bb5l/XnSt8Cgz/07iPjrRdl7GmmHKtC+as0GJgNRFoxI5MrXblZdCGrwjQxevyIzsXXlgBWZdebdpLthfy0/R6bXO9VvbmW1LVxrt7xA2327D9TomX+DKc8hyKcWKPCQQPmkzt++TXuq0Xg9Tb0jCSFyLHHSaz2kk48pBWUnGs5yu5W/LMVLKM7cbAkZxrEnK0F8tL4p03lWE+jrCOrbzFIxmypmp1nZeatfIoPp9QaY278gOBu305jpX1MCuuej+D+x767eqoFN020p2usSWsCmnwo6FFBMdwLvf6DmSnVUsFl8wi/kAlVKKFZ2OJQAmT5NMbXfb0wIPEDhogJJI1n1CTMXNdbRAxg0B32MHO3qV9+HRbykHAlAXLQIHo8B2HoGqzOSFadx2XqrXyIJMyNaWAQzAop3OdYOdYsh534EO0EVf/m16LTJ789MzNnXLw+258l7cXq92rr6g8QmrMRBXwynFijwu6Pq5Semupl8KPznfhdsIz09rw1SKLAgvsxwtTlbXLjudorT+lO/DYMFK8qzo3q2cax6Bp0WS6JBp+6+ZPG7EksT/kAnZVDF6ei8MWIDJfeqvqwZDxevX1eP/6KDIgO4xr52i7RfouJ3ueK2sO5Z0LKZ8F45FgxeLyScEF3akgZRiRT4iSxTZqb3fMzRosWy6YAQwttlmKhblWQqd2pzl2FzXCXXuUD/DTr+S7uCrFbMy12nplmCZSHbK+jdqyUb+kBFZ2+KACdi007nuw5I8jlqE3wNWslwNH646blPBprCtdvoz19g+feAZGr7qxuITfMnzLJ1UYkb+rKBL1K/tHdD3MJ8lDr2V/vnIM5kVfHUKLnete64fA6jc/pVyYH3yNul6rmt/D6+V1MiRMUV7LRPft1+OkBWZb6kSfMHmNu163mCpmF6vu75HdXKphI7R9eVy0hd1J1VwKVz67wMuzT6UicUnPDC2TkIqMSMORz6io9dye1N6IyIPZx/i6PQhHFqezwvAriOjopK8CQg9CDOqaaZNO/LZ9asyP/QZDR6rvtGqg9WgSQRfZG43AjZg1E7nGkzBlvOuA52gm668dpqrrtv15tpWm87ttcpc3F6vdh6JT1hN/lbDqcSMB2fSkiOKy5S2lYcGjBdwqKNSHxi6pXH6vh0aby2qNUCOt3xfQtcfwcNpje9buqeWrxR7p0uVryx/rEt5xSGXnf0hM7K3xW4wUqza6Vx3lSf9eozp5lpOvw8Xnevp+OdaAtvCxq7XPr4VhygCMD4B3+BDpi3QSCVmJOE4UlpUD2289TGS0W8+b6Q6hI9ObRZD+X15VeXGC9OkjLT66KgTy5udux0FuoKH0iv6yneQ2FwSsoNBW7AurChDeTDmvOtAN0qPm6mu7Ls0V53fVdKLuTamVXs/sQThWHxDL1ALZqQSM5IIwAvqLfqmPs5xBODvAGtfc3e4OjvVTA5DCtapzWNXfqYBPs/ucdco8euHDGTff7ysAyxuUQArMLtNu573YXzN18WmQR1dyznr/Frh8j3Xxi7VO79C9IXOhkYSu33DSCXLXhWBJAJwzasQVoUpnsbrw30gWIszdbKF17Y1oM/5mTemIl15qaU/ADMyYwTWJdM5e9y01bUG2lV3D2ldWHRhBhZgDNacdx1DOrotj87R/W2ay3ljY2prLmVdy8CLa9mQ5WLxDSFldKWdSszIXQVas9yx1PviNRmIqO2/qkiwKPzeCLA+Nwdm16nIvhHZtU0dUXWOvNhU1L7TKGrJddoxv9bd+zdYgMktDmAGdrdp1/M+rK/5Y7q6lnPV/bX89XuurV3rP3wXfvvCA33HhGh8gyO/IYtdY0bINnzQzn0QCUnj/RxJwAkp5BTaEYyA1bHmQztap4hzLatOGZ99vXT+Zl3RpfBZ+ke/yNJFhzc0Zfn9xisdoWXf+eOIWHb+ByZgcwsD2IHhbRrnYA3mnHcdQ7q6LQ+d22vX87m21kcfWegTffmLpUfgGxaT1aGhFGJH7iDHqkX+X3sG+Df+h0qysx6/E9Y6Kfzf8R9n0GQKkrcjjcHAxp4i7+dZA0fn6LdrJIbTz8ca3GE+mIBNW/QuDCnThzl56AqdcT50oHtsYKhMV94cW+uic5dW9NvXXbmAF/gGfETAJpIinULsyIMi6oH429lGwFcYY9nl2KyjXZny8V1KPmtasHZzemNTlTjyTjGK+1GzBg2NC/dpnfV2mqj4HPTI7sQvuvHqxfxSeUxnl2Iijjbwu7yeNLamNqen3j7e+8RMzmLxETPZ91othdgRfQBO5YFqr5bTQ+znyS3g9FT3l+zbeVXz5HKdShxy9mypROY5AAAQAElEQVQI0k6QtcFh5KbR9i5dpxq1aLukXd8i0MYIDMHytgznCmQG9px3HUM6uy3vagO3dThvgjAnvg7PfWIuW9H4iLkCeKyXQuzQfuBR4gCkPtPdgOUdjXMdx2xAcfTMx8D08CCIDvVYg2RKs4+OOvDO6edSHkdu5/x+PVjs7wGBLoy6sKRiH/bkoTN0x/ng4WADnfXn1uskJuK9T/S0M5Yci48Y43OJ/BRiR74EEM+08fLDs7N/hpmV68bymIH3DSfV9BFws/bnUK+9O7etwq6RFqO2PLvnCTrRdxZZ/w+MwOqWE7AE09s0zruwJ/16tOlc0+++1QYaW7hLdLjQeg6lnIt47xPOLd8XjMVH3HO1zlUKsYP+sg46jq1+lxaAr1DFsMHC2dFcmXb4nrV+5rr2NzTSUSdcdPHXQftbHkfEXVUtTaQTqw5MG+xVB72Y5fc3Qb3lOmj3lr1kzLK5S92+rxB9o6+tvvQYfEQfb0unpxA78qVBmdpeKs9zTZVrTvnXOZU81/E91abrgJmuG2ZT2axdnfOQg+9x3KXcB9taJONZV7E/JwTACsxuC7cx/Z3Xo4Mmv5K8+R75z9kWbuhgc9jeTdLTp777xhyGYvARc/gOUSeF2OFk4CHAMZrTETi/rD8bUFZ+eZi7GebswTn3TYEyZXqrnUM9Webb6rs8b2PWxvQKSp8OyHcNrK62AM3bY67t3dK4PffdN25pu57H4CNcebVy4naHaUBFgsB5fX2VnoPRXHp5MR4UdYQzfIOZP+Kp64kPdU6Z2489iP39RqALsy5sVQMPeP8moiejOtQyLragxR4+c23vgdAlwTe9C9lpXxH4iGkM77v0oPHHAE0K0whL4PTteeQ5l2ffa2dOO11bzFZgUanrbqW3LyvpD9LNFKQ8/qkTfegTdWYBWKb8adkuzLqwLbQsutCvzs+QDn9XUFtobOJ3gtvJHNsbouy7bwy1NZQXi68Y4nGJvBRix4OzWQKYSW38x6TSmy38IxLJdESS+WTFdZrxts3O54ZuC1zP84EgXXfntQOHCpvF30muAsfzDWZgd8tRG9vfeT26aPKHdNgU+PWfs038Kt78P8f2moo9//nuGz3NjCbH4itGGQ1dIIHYQT8JDcNT9FPYyfaUgI6VT6/9ozlHElEWK+oZcg057Bsph9YG+0Y/Gm01bvwhMjQ6+1PKzroQaGPXxvZap08X5A/pkPzfh6NN/C6vJ7NsT+uNfFbP3qqvmApsCrEj+gD811TUN1o+lscLYtjp6aridgC4q9czsmo/r1r2lLujZRedCLSxa2P7u9IAxoM6/E0gjpNY+kYsvmJtraQQO6IPwCncxSxhaKdqxkgxAGO+d3rmh+lyDY2YbkWuin7aXTS6AoTKG30fuZU5pvMu7Low7tLFVY4hHV7L8D1Eg/yuY47tddG5pqm8d7Mn1/Slv1f1FUsLO9BeCrHDnMuAAi3rEYHjY9JTKeWMKehsILDeMlPcXrTOu6ZDu4KDdZAWcBMuu7DrwrhLF9dmhnR4LcO3q01Q9nrMsb1r3a5v332jqw1L2xYCXX1kWxKaNF4R8O205kwxuox2uhz9LRC1PI6Ou9KqvHuzltjfKAJd2HVh3JV2S3xMl5R1sQnK3R5zbO+2fvvcd99o07fr6BGYzKAF4MmQrVPhVD4GjHU4Wb/VOc62zXXRTtDrLrrWQRSYmZ8u7Low7tLF1Ca76E6lsZXy5ivS0WRXH4mG+59nCzrRKEMZOUeyDq2s2McQiBIB6yNxqSX2GBJ1AJ6qSiufFgJrbVqpa7cbu1rcyon99SLgiqGrTnobmpmxlg3OZNeqbQwBC8AbU6iJYwgYAoaAIZAGAhaA09CTA5fpFSly0QHS8nxnmVu7mbiVW16CdFp0xdBVJ74lX8sGfcth9NJEIOoA/ONgDjAmszqsFDBjwsB4MQSGELA+MoTO8nmxx5CoA/Dy6oq3xWNhNyNX7eQdI9hrnut32VGwi27VUc6S3BDowq4L4y5duLXwp1QX3T+5+zozX5GOvi0Ap6OrKDgtPAS/W0GqGfRcnG09QrdrarQrLa+kK47cimDnPQh0YdeFcVfaLckxXVLWxSYod3vMsb3b+u1z332jTd+ut4eABeDt6TSoRCfP1Oc4rbp0mw0YGlnV1SONLkefRvT1rBRP5Lqw68K4SxdXFoZ0eC3Dt6tNUPZ6zLG9a92ub999o6sNS9sWAtEH4Bebem0s7hjJ+qvvTSvV+TEQNgIP/Oc62skHAnUXja7goPJ2xZEB7izrikAXdl0Yd+niSmNIh9cyfA/RIL/rmGN7XXSuaSrvKpsKr+1fv2PxFVd+1vpOIXZEH4D/Xkt7kbV7jiQAl6fpAXMtKAenGKvuqeV2gCh6yq0lU0rttrFrY/tblgGMB3V4IRDLVyx9IxZfsbZeUogd0QfgFO5iljC041c6gW8KHuXIWm0nraw7eLbLHvL+cn0jpvZ0aEoBoC3/2tdt7NrYXvnr0wX5Qzok//fhaBO/y+vJLNvTerF/tuorpuKeQuyIPgDLv6fCvs3yPyMRq8z93ghkA6OfPpHPfRnt9CHaPQ47q+Vu2VHnFDVutAnb9RgCzNuD3W25Nra/83p00eRX/TdRTf7lP2ebuJTna47tUa/v8N03+tq5T3+8isVXPHK2cEoCsSP6AHyyNeDGal88B76G6Iz/stLNIbqSHhr99NHIwSIf50ONW2NANxVGZ3eR9lKs6AgGvYHjUse+HhHowqwLW3SALh4p/EoZ0uGvEvq/2kJjE3o65TPH9obo++4bQ20N5cXiK4Z4XCIvhdih9r0EFNaGFwQO40HHSzsDRNSJ9ga1gWq9WXPpVeX4SFxHJAzEettWNB/yK3Xm7QrH+n5U3M6360cEujDrwrZLB7fURnWohV1sQYs9fOba3gOhS4Jvehey074i8BHTGH6udOq1LQAnpMHD93jQCS2O752eWUfAc5HBdW1waJox7wmsVa1h4YaJc7Y+7jfsJHHaxqyN6VWIPh2QP6Q78q+Hqy1cy1+/59retX7723ffaNN3uY7BR7jwaWV+IRB9AE5hGuEXlOH//wrfxGgLvnd66ginHpqC7GPI1TnLUIDP7gPtta1C5G5JkRdFVFV32Wsd+/6DAFiB2Z8UkTamv/OyAVyHdPebgIizLcifP2wO2/uT8vyZ774xh6MYfMQcvkPUSSF2PBeAQ6DWopnCTrYWy8EuY3i8ICsGHOZMyWetnQ057ls+hgKnOnjWIG+LN+cdtF/kPig35ey/TgQ6scoe7abBXnXQSYTEId2Rfz06aF+z+r5n2VwfsUt6iL5xIe38FYOPcGY2cMEUYkf0Afj7p03/Xe00Oz86sWvekt/eHc2QE+4RTNcT68HR7aVeOeKcu6ZAeV61PWUKnepC0776EQAjsLotAZZgepvGeRf2pF+PNp1r+t232k5jC3eJDhdaz6GUcxHvfcK55fuCsfiIe67WuUohdkQfgN+KaAPw4lZ1yOLAwvtUm+tIp424Qz12upYD5Yq6e2TbNWV6qMTeNtjWQeu6C6MuLKnWhz156AzdcT54VDNvSufW62HGe5/oaWcsORYfMcbnEvkpxI7oA/CXBeDftvrjONPZ/Kbg6aTwy8fczTDqwJtZzDGphkZaug6oS5aPNzZ1LmV71KbrhgzwxprbdX4bIzAEyzYoCmQN9u306/WQzq5l+Ha1AcreHnNt7pbG3Xnht0/c0Z5wEY2PmMBzqKIpxI7oA/Dn4dE5hlJY7HSzUxydvFk/8wmWOq9ZDjFzwyPPhx8j6nX25f3oOBPReHKf5hOG1GkpPmc97h9Ta2F4lbEX80uBMZ1diok42oDc/DW2VrjZzk21wVPvfWKwtf7MWHxEP4fL5aQQO6IPwP/Th9+Ospz6/bfEBotDLvcOzn8z4xRL/zo5zaDJ2t+YI0cYjZo1U5qcdx0aNO52PV/LdI3c6lqU1LWEfV8R0BGtgM31+vrdhSF5fZiTpwBX6IzzoQPdYwNDZbry5thaF527tBn2e1ffwwW+AR/hgdQmSKQQO6IPwB82Ar7vDGf/we++gfErNpzoVKPXG4G5U4ldTr9LgoP0j1yRpYsOa5B1db/uq4Gjfqnku6uNPae9VPINNrcYgB0Y3qZxDtZgznnXMaSr2/LQub12PZ9ra330kYU+0Ze/WPp5fd+wmKwODaUQO6IPwOCcwvNc8LnE8XcMI2AE9XzH30wLQnfi4TpV2TcSuzanTrlzFKyO9dxeaGZ3ri4cM+i7Vt/1N1iAyS0IYAZ2t2nX8z6sr/ljurqWc9X9tfz1e66tXes/fHvuCw/0HROi8Q2O/IYslkrMSCIAZ992Z3c11lgeM6h0KvbKk5dvXZObs47GFKQrLzpC6wyy8M+GIKY+OW8fh1oeRryH7H5k3K6z6euWcF1YdGFGNTAGa867jiEd3ZZH5+j+Ns3lvLGxwq8/gReXtkOXicU3hJbThX4qMSOJAOwC+F7KvB/8Oo+5uL14dmLwURXDm6Uo03XoiIoBV1fWfVrdPw1NwaN0B1VGZOpk70a8Ov9e51V3eWjt5QADsLiVF6zA7Dbtet6H8TVfRnR0Lees82uFy/dcG7tU7/wK0Rc6GxpJjMU3jLBp2TcIJBGAs5c4gs4NbqudxrLLUacd3YLeBKTmOlXXqUg29jAC62OJkVnfuqJ2lIdngJVe2Ve+r40tpSM7GLRl6sKKMpQHY867DnSj9DSed+Xep7nq/L6WyFwbu6HzcBqiLzw04pAQi29wYDV4kVRihvaV4Fg83UD+ZQH4CmKmI2B1Yk5O6lon1Ldvx1MdpJyzPneZiuydXr6V/6VnlHstox3iIdA2eblUbCpqzm/+o7zicDc6vsne7CkyI3tbwAYjxaqdznVXedKvx5huruX0+3zRuZ66f7AtbMy9xnhJxcH7jeh4q48l8An4hsecfaakEjO0T8SvoBQeqF4UxXMcNyQ61ejd+cx1aDq16RSA1VFVZdWPHzta67J7aplNRSrzQ7BlDVTviPSzqBWs1pgKWiNzmwGwAaN2OtdgCracdx3oBN105bXTXHXdrjfXttp0bq9VZu994Ja+8/lSPsGZoXULphIzkgjAmT0LfG/NOgq+T1jpKsQ6cC2zHNpZR12uzlCDx8OmqjsECzkTEO7SLhdFJt/taVICkk5tDtO81N/CF7Ii860sYAI2t2nX8wZLxfR63fU9qpNLJXSMri+Xk76oO6mCS+Gi/2bOpbq3MrH4BG8CPUcolZiRRgB+i8TIn7MJb7VfqnlByhsDF0IH5WNoVHMpNumr0GloncacFYRdR0YEi2zguWAY1o7RORVN3aJ63BVNQDrWsvlfg0NGZAWj2wNMwOY27Xreh+U1H1301b2WuX676vha/vqNTWFb12sf39g+fcAHrWdpxOITnpXDV/0sTMzwxd5vOto3fp9HfZLKovoSIL6UcQRgZC1njlipO3A4TSe367PDlbcjD6RdxQAAEABJREFUtdO7rpXvh+d778rluuZbdk9F6/pjlXU8mqRM19r+V1eAuqOd4AUyIRsyttkHCzBpp3PN1PPQr1Zxp4UuKDt2aPslOh4r15OvrPfkzExWvmF/Zm2/1WLyCX4lm04tpViRTAA+fYj6gOnK2GINnYKrJZIppxAjgCecrDCactE5b2hS3oenjQs5s3O3ix6P2RB42nlqpDVTtLre+LBW3C6byjWyIBOytXkGA7Bop3PdYKcYct53oAN00Zd/m+6q29s61/NnbOpKo/2tvJfttFWu1Rc0PmGVxuNrNKVYkUwA5q4mPlWvx9HXOY5peZyirv2pb/aHRZFLfa6Hn9ntaw1H67rWR+Bo1if7iJGe6XRz1Y019XVq82GqWsGoFZPvJgBBI+EDGRpZ5PEGGNnBoFM8MAO7zsxfiWDfW/9Xkd//o1N0+zthwgm2hE1NqDJaVDHRWfN5NjpKfGKBWHzBRLaDFU8pViQTgFPZVh7MqlqEj2U809CftX9eDln39G8Lhs7LKeuE2s7wKFhbyDL57hvqsOuXUaAWe/ho5zrxooqHjEQS4B0ZuthFZmTvygMrMOvKu01zwf5afopOr3Wu39rOw03SNW/udwibn8tLTL5grgw+66UUK7R/+RQ9HK3stXsUEq7F2Cjf8xPTposgU3GFrsFW8wI7IyVGTPeIdV/pMKbOKh3ldmc3qWy2OVb9G6wYxRGQmsKt/5R+qWuXX0zjtrKivYRXeIb3LiaRFZm78kgDKzDjvO8Ac6WvkwV9Jf6ko0t0+ifF/UxH6aWoLbnXcCsZxObdmn4oFZMveGBuhYSUYkUyAfhfHxaAb225eej+HAcmTEOPOdxb3l3PdZpv9sjlmA0H1VseCCZMtd6mtc95RpWg0U6/XkPjErQegoomNFPS6rS/Y14Yhjd4VNy/4fkq2/WbgNnImPffGIERWF3rdH2DNXh15XWlTdFlu77KMtuG2rSu19g6Nn+9XvVbfUDjC1ZlIq7GU4oVyQTgHwepU5rbX8Iky5d+R7hE+602zq3rpy95a1EzghGRqcQqXUcmGLjWY8qUNcmh8kqzHKKp+ZUGly8dsRHLHkjxi0FFLZ9M7T5krpwAT/AGj12sIFMjW95/0wc2igEz0F0kmjQwBuvmwuG/C029H3Ao3CqC7WBDrWQfl95tfS5TkfmAuWJ4q0eMIFZ4IxiYUDIBGBxS2t0Gv6GPmKaeQo0InhrBHOSsgWMwINzqSNcKe9d6r+UIMASF63X7mx29eS5f6vx7R146kiylli+CnkYW/bSpLHOtDdfwAC8NTz3NIgsyIVtPEQETsOnLJx1FgDHnLkejO9WhS9muMk/ZThfBS1ooW7+Qn/QVkw+YxHigwqnFiKQCMHc3gfSWJFmdDozmTpyfedO1Q3ysVywZwWgAmE33NXPfzKVBqFaHNvoyDQKNBq6vIabYoKSO+lODSOdoWPNqba9ZH2baV7HrLPcLTL//0xZtqv18wQO8dLUA75r3iSxd+aSBAViACddDB9hqexr3h0r9yZuiuz+1fp1hM9jOryt//yt2Jbbuj+JzlFSH0fiA5yTxUzu1GJFUAD6do5py9WMxT1LRKT184JNU/FRXZx3EGTwzkjnrlCmjM1cJWb90KU+5Qy2fOiHbGzgJNowcm01LmY4ze5hg2ldl/NZynwTGupZSo5R+eipMTFZCNTShTRu0RZt9ZOBby33DO+d95ZAdDMCit8wlA0xdyl2KNyNqdHe9nvqtMvbOQEyldVs+lI3ftuF6HlPfd+U5dLnUYkRSATizjVgP9quOMkjQe2jIIQHnxAYVh6KTijCS4VnOSZVuC+s0po7mnG9U2CBEwLgl0XWOrFr2i+DWlX9N0zIa7+RTR2WnMSa0oA4m5aQjmy8OgqaOME+0oaMvFUOUzJXyn2/uAgi0TRkN4NRp6tY61c0hcoL2nxqPZ/CmxE+qx094fizxJwV+tMwXGPxJ7T4DSy0L+e4CrVQVshTV2TV56je2gs1MrTdWHlkVm3j6Wx3Hc8hjuC2Zn1qMSCsAv0l1KvpHEksqOpa2/pK4OmF1dp/ynYLha+6+q7mLLjtpcaBdeV1pBAwCR1feQ1om380rFx8y7hOYytWR2QdBbnBkealWi9QETS2rg0c5ad1vgjKbpfTG6/P2IK3JU160U5+o09RVGhdyvV9atoYnpf8Bj70FLxl1qTrWdi6Xg19gCJaDhW4y0RG6ukmafPqsrfQ1GMq2+9obS4+t74/xGzr/VEidaYwI3Y5P+tpXfZILTyv71omv8M0k04JO09UxTUW91mFuCDQC1WU5PwjrsLI+VtPqEzgIIE7GUMiZgKi6YDA6WIUgpyMpAui3jvZGyw8SeyKTtpXn74YX5X+MFLJp+U9xKAstsANDzl0PdISuXMu3y2Ej2Eo73cd1KNse5q07V3VR0ve7c/eZmmJsSC4ApzbHv0RXoDMu0Y5LGzg/HcUEWX8rXuSkIzXnqcw2v7zMgaDQTh+6JoC41lG562bdtNQR4hDRSx60Ka8ReLFgfA26tEnb8HBhZ/CLUS/lkXGw4CUTzFxpX6o0677o6Ho99RvbwEam1nMpr3KfsG2XskuUianPLyGvSxspxobkAvD7D9uI1TbG/8zcHH67XqhrvRMNtk6m06TPBXddW8wn4kUgKSoZ3PV8h6WOEBkpsk56l95zofzUtEGAk0w+pP71GJNOQZcaVPSrp+JIMnW1MjRO0IQ2bTRtZZoyUp9sZEAW11Evd0dgRRvUdz0Ug9Mz676087RtQKTnCGnTPU0OJsfW5weZfSJzStUUY0NyATilt5xMMZ5nyjIVFdMdsU6xVholgwRhNtdoUFHy8xHTNU/qT+JPRz9Vs+O3clsC0RFTrQHvW4Pgl+pGB5wT+M2lUgzPvLBCvz+VzgfTxKzxajBkt3RzKG1mBE63aU0ZkV91Cvm80DgP/SRgF2fwrPS/tO3vRpauQq006jQYKf+trLHLc509dxNZi5ywjbGG5uSrsZxVD9N0OKchxzqKs00/d2CVYmxILgDzlpO30kbBbftTJzwpoLTr+74+nJ5zqEP8qDP81lFWOVRmLC/LhfXXSTQ0SNRFLl8aDN2xzqVqRp06gmY0OcZXXz5tV0qrzqW8HooDgeF8vea7KZO5jW672oJHAi88TwnaYAI28NlFty+tqqVEF335LunYgmIx+qMaLrS6yoS05a72xtJi6+tj/C6RT0wgNizRls82hgOwz5Y80vr7RaK5G/Uo1lOkcIBPEfBcWR1ipSMnHTx4Jnwh9509H+CLQnht5KQgTPOMtrJq2oauJphlwsj1k/VUNWAlA7X1D3iBJ3XsjJy/G14nsAUWKsxpQpWmKMEXHTQXT/znwxb6mseGseW+/DXSY+vra2DQbjPVmJBkAE5xsb1tML6vX3Kpv0TcR2a+Geigdww4Ci4OUrLjtaPZSUkEAALBpEpamNEmAUunAzV+aYLjRx16zXqqOlHeCf2lY9VzJfq/Y31fxZo2aznnOjKHF3hqeJvQALKDAVhMqNYUBXOwby6e+A8bwBaeIDFYNaQNDzbck0kfp6/3ZO82OdWYkGQA/uskk0ctMywzuSr/mT8/KvQptK6b1urUJ4+MXHlgx+tZg4hr+b5yBAICQl9+XzrTrUy7MgKcY5CKT6U0TgTAJpCVciKozaHVx+M1HZrQvo50aZO24eFaxvUbWsiM7EpDB7+uNX+Vq2opwfzX1fz/0T02MJ/CcE1sV/GZLN8w1edyY+vjz0njr3aqMSHJAPxxkDr7tmnotvnqaKDUMbAObto5613npU67FuF0dTjommz5PP1LQJg1g8AIkACqQW1WfbSjzr5mFMraq3bKj4ZeJd8ETNZlCZ4qZVWJ9AaEJq+SirLUoS6BElrQhDZtNG3R6IwDGaGHzDOqU+V8wZrz2UemOkf3swmMVGTaGdsdKbZs9ll1W9rgow06sYCY0E5P4Vr7ZQpsPvJ4fjdDfERF5NvXNHQX8Zlp1SnsyLwuRGfmZjJ3U43NQM3jMDdprqdaT2OesCP5U08YJLpW7SxHkKxytfFCb6ky+fVe5lzYAPapEfij69DgyCskv5pAq3WaYJtLCa3ORiYkIlMTeEVOyDqh6u+iWu8Exr8TnjjxpfM+FkLbbF+7Q+kx9u0hfpfKSzkWJBuAU53zD22Ux0yCTfnO5V0Dw1mHbk8Hpd72C6nqSrwEYZ1SPTFq7G1rJEPr1zz6Az8ErZHi0WcjA7I0MmX9o+8xQcC0zvzYJvzozYUO+MdanZePrWKz82qHqxVj3w4nrTvllGNBsgH486SjA3cd7aYkGzQ0Es2eCg0FlI7mgt4YZEc56xS8DhI8SHCQc1HL1zMjRx3pVQQtRo0xOvMxlOC54T2Tb2QZK9+XX2nQBstnX7JxpY+O0fX1OsR3aFudwzN9mr49p+7W66QcC5INwDzzdS4tCHd1Lu2oQYNdV5tjaYeqmQoNyhcbcnRq1ksbVSHlsZZPNgyNyTaUr6M+HUQ2I78PRoGlrtEOlV8zD97gUXlgipsfdFA49WrmB+waDBXLmSTuqikzJ3R8l+j5Qm8YTtiqZ7JPk4uxTz8tlAcCxABigQdSq5BINgCDVspTD/Af6ngppVRnGm7KdybjeamjqVKCTR3CVlbIN7tjOX/20JFQzYahS1B6lpywcYmdw1ktn9BUHQXFwoVheIAXeII3eBSXiiNloAl2YDhS1CkbnaJbp8IzC7GxCxudWT1YNdVRSZ8O1kDChFOPAUkH4C97L3Rv14n1jpkRRi/TnjLYHYvD9kROmD7VKdmnR8NXfppRcS4lAU/TmpGx0j+row0ekGmDtgiQtA0PBF140uunP4x6lf4nmD1N7EIAXaLTy2WwryVscw7zsfblObL4rpN6DMh9A7IkvR+6DsxvQC7ZZipt5bWcY5xKU+d8XsLR4bBx3N70lUvFiC6r5NsbzQuhJgCKnAiGmvTBaJR2wIqAyTElQFKWOhzQaGjV8glt2mAqlzb12uuHdsBo6pu0hphAh+hyqIyPPGwSrETEBzlvNOjD9GVvBDdECN9PDEhZpKQDMMCzBsC3HY8IfGsQfkxdP4VpPhxLaE5w3Dhwr+0c5FyIfCjNYBvdCKAESAIlAZODoKxtfugI85PzroM8ypBHHQ5oNLSy+TuYlebY5xcmis1YwSn56A4dTqkzpyy2iE3OqRu6Tqx9OLTcLvS34PuTD8DqbII5QhcjiLnMay4nOYddc50rv64NetksNdY+DhxHPlZuSr7yXme5fLO7V4PeomvtuQbSJkB3fJM3RY5nyyI7GIAFmDxL77Y+OkN3t2mhzpX3RWxxMv/ad5s+PLniExUSqroF3598ALbpmeEeU2UahIeLrJLLs5Z6B+t9OrdLGBw5I8GuvGfSqkLXcQv5IggRjJ6hlVJdZEVmppvBwDfv6Aqd+abbRQ8bxBa78tZOi7Xvro3Ltf0t+P7kAzDK0E606CiENqM3sXUAABAASURBVFM5mjtovZOOkd+D3hzo0GORGQx20PIMaQgcCEIEI4ISwSlEGzHQRDZkRFZkDsETOkJXIWi3aWJ72GA7PYpr7bNN342CmfiYCOTzFxd0EwFYncIiTnxx7XhqMOY76WMlX1m5zDQ5z5DyFqVCp289QXtHhqBEcDpKs+FpSzZ5RiZkQ8Y7oT1doJNGNy/LzNhgc9ieJ/a9k4m5z3oXdgbBrfj8TQTg/6p0pXOGEvdShTtpNprEKu+p8L+zuE9W3qJU1vJZVOFe4nLOpWJdVKdSP9RRzPrN4T7+l0q/jnaRAVmQKVTb6AKdoJtQbbTpLmlz7bbHrumr9NmxcnvO34rPjyoAzzUo3oSylSmJuRiM1avzZUYWY3x05eNwGP105QVJK6Qqj/LJRp8g9C9E81xqRoyMHNk5zWM6BLZLdnRf8AaP8ArP8I4MIRlFB+gi5Lud2/xja9hcOz2W65j7agwYnUsp8fkx8PIsD5sIwICgI40tTfkhkteDDQtlwFHfs8zyDKZ2rEU2ZV15ZaMPa47X65DflQZjXk5BYGsCXC1f2t7Z5zOzSm/aJxde/NG897rhqVCeDnJueJ1GaVZpsEcHsyrPrISNYWszqwevVmofpa8GbyjhBrbk6zcTgNOfkgjfI/46LDfVO0caNsSwMWZO3bl1WBdm+lNHReVcGlPrEeAYXTK1q8Hgswl+GpAZfTIKDRKUNdhCmzbUgX3RJm3DA7zA01Q55pYHazAH+7k05tTDtrCxOXWXqhN7H10Kh6F2tuTrNxOAmZLQu9vFnOiQgcSapyOOUoddUc8UsDGm0lHAkhgWByl1/ZHf2VUfvWTLv9oi+BEEryPkS2D8SZBsNj9dgnOeNcsI6K85CKgcSqW55psy1yDb1BX50CD7E5qMvmmDtmhTyy/+0TXlE1iD+ZKNY1PY1pJtTm2LvkkfnVpvT+Xx8fj6rci8mQCMQs5546A4taMHgX+W8nXIg74Vqafl4eTbXDXKTxzmbdoS5zz+otN/n4zQlmhvrA2CpNp0RcAkcNYagDWY8vOAzUFA5bhNowxlqdPUjUTXtd5UgS0Yj8ntOx9bwqZ80/VJjz5J3/RJc4u01KZXuUkOhaXaZSjSy9PVDn4+FXEHl+VRuW9RDbj++R3/jYo6za81NspUl9GwjkS+eTTmHj27mooAGIIlo16wnVr/2fLYELb0LJ3Q9emT9M3Q7aRMH9+Oj09ZhjbvmwrACMcUBd929CPwVyHfOKb+EuvnMCLQUdNizwi3Jb6sT36wS7ed5/96mxQv2H1csFxcSJ71xYawpcUbn9AgfZE+OaHKLotu0bdvLgC/F/GP7mLoPYfIN2SBUanTp4xedNqS3bokLXrQvuL0xYYhdeS2v8ARfbACswY71aFjNa/FsBlsBx16JRyAmOK06O7/ACIsQnKLvn1zAfj7JGX23TxesYhRpNqITguW6pyiX09pHOmnrDYSRr9sGGIKVae/olkfhq/YDgIvGIEVmLny57scI98Kmyni9wP0Qfqibwy2Rg+fjm/fmlybC8Ao6Gdtb8YCh7HjrZQvOcTvpAjCOHam6sZkCpnPGibBBV4INiHbSok2WIAJ2IDRmrxjIw0vCQRf+l7TB9cELJG2t+rTNxmA/yOzaWjXflWc4342+CqHjhTqz0q+dFpx9algggzBRnn74LEaNhrp+a4+yIzsKvQHWICJnq/6wTawEWxlVUYcG//V9xwL77zYVn36JgPwx0HqQmwU7NJndbRw5vlDl7Jrl2EzjRrsKo8odcpeSKWj8291+D91FPilx+o3B518ekxERj2+kBnZl3yF5JAYBF9sAxsZKhdLHn2OvhcLPzHzgS/Hp8fM41ze1GbnVo273t+1BWBXDb2UaUxFX+VRo/08RXaDpaPAsx6fymMzKmYdUs838UGW29GuysmLP6KRDVvAJqJhaIyRg1RNnxsrt4N8FxG37MvVbl0gSK8Md5cs3KfH+fIcv+Q6Y3BOYyr6ig5vNTqXEfJ8GRXXL/KhvH6UyqOOGJMbGcMzvCMDssQ02lWefn+wAWzhd0ICJ0w90+cSYHV1FvHh+PLVGQnEwGYDMHhtdeEe2XwfGLlOK+pgwjflcPR4r68GCp3NC9fGU5Q1GPMMrI4YP3XNtJmm5tnYLJdVHqsakgWe4A084bXh+UVOsUwxd/EOr9hAV16safQx+lqs/MXG17Z9uMimA/BXJqeXwt6M5dqp2JHJr7G4lo+hXKZT0XUmH0yTxsBPHw/qeGsNaufDQb7glyBHAGGUqd8lAbCvru902qLNS9tfDS+KIbzBI7z6btMnPXQNhujeJ93QtOhb9LHQ7WyFPr4bH74Vebrk2HQA5qXdOg8Y1XpVlxJiSnt90fXgmBhy4OXqkHX4noyuCXIEu+sImYCio82/VdwPDY5fTXAUOWW1nPW6REYCZ5X131CSRxnKNnWoqzQaWlWj1w/aoC1t+/PS9hletN0kPui44b+MbxZhDMAU+9aYTCHz8d348JBtrE170wEYcM//LdpnOXs4LKEDgewkVVU2zrojN+4k1gJZE4ybyxHuCqk0OJ6b4FjId60jZr3+ZB2WwJPn8pMg2nWQRxnKNnWoqzQaWkc5a53opr5H0LjLRrfo+C4xkQv6FH0rEXajYHMPvnvzATh7k0o7bhmFRSXCxGsuJx0VJXnjwpqgDoM/eSFDInAbmyMIoMtGp1maN9P0JfrUiJiWfYMAPhvffZO0ydPNB2C0dniJcLcsjK15jLTNWhVrViPFosy+Omydkk3yJiJKUFdiCh02wbeSJG+i6UP0pZXgS7bZvfjsXQRg3iHKHVWy1rgS4/9Ry6fevdcrNf90s3kp32rgn6yJPk3MCCyKADpDd+hw0YY9NkbfoQ95JLkLUvhqfPYehFUb34OYImedVt2HpP6kVMzqv0R4uYQ/ogtT4g1JrIsykrpp2k4jRgBdNTqr0hz1XqGl79CHrtf27YaAYrabmavdBGCevcvsV5LcesBNqbKUkg0kN0lJnjKSYiqTgJykADtgGt2gI3SVurj0GfpO6nIszT8+Gl+9dLtrtbebAAzAlY2CgWHywQYSnU5L/q6UtWE1eH5S8CsrJOkdwZOVeFshsnN0UVfyhW7QUWTsTWaHvkKfmVzRKsjefLTa/H60ftIAnL2Y452jcTaSfOlM/py6sdXhBQ71ST50rek7Nt72xg86QBfoZAuy00foK1uQZWkZ8M346KXbXbO9XQVggK5+pvkoA7yvfbChhF2da/Phq30eWSrO8pM1R180jY4bAmAO9ujArYa3UsEI0TfoI8Ea2DjhPfrm3QVg7rC409q4LQcTT9dnPnE0wRpYmLBOF9asOTIKIygs3PzumgNjsAZzsN8KAPQJ+sZW5FlaDnwyvnnpdtdub3cBGMD3eKeF3D4OfsWlucs/bGsqn3VIggKjMoJEkfW/8tEHjnuiAZYNpjrbAMZgvSn5tS/QJ+gb0csVKYN79cm7DMDcaXHHFaktRs/WOZf68JH2M8J9IDMqI0h8XdaINxcs+gQPkA52rPGCJZiCbYBmViWJTPQF+sSqjCTcOL4Yn5ywCLNZ32UABq293nEhu48j07t+NZ6kX9QxhMOBm4xMTkyXskOXR2SGylveHwTACszAjjVesPyTu50zgi99gL6wHamWl2RBX7y8cCMtqv2MlNhoNndcPHO2UfEWEeullJKXDWzVwV5BZIeudpRPAgpTqYzsrnn2/QsBMAEbMAIrMPuVs83/sXlsnz6wTQmXkQofjC9eprX4WtG+Eh9TS3H0cbR3RD+LNS8bOIh84pCepRV7fYIMU6nXIHMSOWvQSfZVnc/ijexgoE6kuTkBGzB6lm7s9bF1bB7bj53X2Pnbuw/WvrOcimJrKa/lrGtUSb7kPSYscUSNQ9Jp25j4CskL06z8NJ4GnZ/aiT41GJ32EHyQEVmRGdnBACxCYh0TbaadG1vX2Z+Y+EqRF3wvPjhF3n3xrP3IF6k06ezlVzdCa4cgrMb0Kbo2HLqt2OgTgDQYfTMy5h3G6li+SWP3b2y8TuUHGZAFmZANGZGVtKm0ki+vto2NY+vJyxKBAOZ7RdSeItDEiizwqxuFTiWGZ2H7LbAexo7QPQbhq3b5FR82HmnH+lRH3YyOCV4ELEaP13KxfsMjvMLzrQzIhGyx8h2cLw2+2DY2HrytHTSAz8X37kDUQRG1jw3m7yLz509bC/alaHaEvn/JBy8m8EUzZToEM4KXdrRmnZTnjNkhTIBj/ZR3HzPKXFpG2qRteIAXeGp4O8kHvMIzvC/NV4ztYcvYNLYdI38p8mQ+95fWtK/9Otnz/9mbVGVhr6j0ZQM8E/mW3QdhX7RTp8MaYiZyJsCxfsqv/zBSJvhpZ/wkEBIQWWclOBIECZTNyDSTmsDZhwF5Wq+mLHWo29DI5ARNaNMGbdEmbcMDvMATvPXR3ms6wRdbxqb3ioFvufG1+FzfdFOkp/0xRbb981ye5OtU2NuPfCKL4+Ll9D5pbpUWwY+ASSAkILLOSnDUDvpJoLysvf4kcEolf3cd5Gm9n5SlDnUbGqV8QxPatEFbW8XRp1zYLjbsk+beaeFj8bV7x+Eqv/bR66l9H75sKtq3FfCKPnX4OhDzTTklesZraghgs9huanzHzq/52HsNWQC+wYMHwnWqzh5LusHExyk/z1aVogMKH9SMhiEQFgFsFZsN28r+qONb8bH7k7xfYgvALWxsa3wLEE+X/ED5Wy4fe94h7QnK5Mgkw/BBKmwUW02G54QYNd/6qCwLwC1M2BrPJoFWsl16QEDXKEt2k7KxxQM5I2EIeEMAm2xs016w4Q3TW0L4VHzrbZqdiz0H3GUE//0h32wW6MqztOcQYDcpG1tYY3uOktU2BPwggC1ik9imH4q3VOwcX4pPNSQeEbAR8CMm8uMgtW0W6ADGYxJrbKy1eSRppAyByQhgg9ji5IpWwRkBfCk+1bnCjgpaAO5RNpsF2DTQk23JHhBgre1wkp9M/3kgZyQMAWcEsDlsDxt0rmQFJyOAD8WXTq64kwoWgAcUXX7Zzt0BeLxk8XYhpv+YBvRC0IgYAiMIYGvYHLY3UtSyn0TAfOgwgBaAB/DhbS0f9mzwAEL+spgGLER2+WMO/lA0SoMIHKTCxrC1wXKW6QUBfCc+1AuxJImMM20BeASj4ijfTKOMFLNsDwjktZyPOiX9JXL2QM5IGAK/EcCmsC1s7HeinQRDAJ+J7wzWwEYIWwB2UKRNoziA5LEIbyBipGLPDHsEda+kLqNebGqvEKwht/lMN9S3HIDdEHAoxTQK0ykORa2IJwQYqTBiYb3OE0kjszMEsB1sCFvameiriouvxGeuykQijVsAdlQU0ylMqzgWt2KeEGC9jrcTsWvVE0kjs3EEsBVsBtvZuKjRiYePxFdGx1ikDFkAnqAYplVeikR+MWmCXLEX5Q1a7Fr9Psv3ITf8Y9fXWvxhG9gItoLNrMXEQU9rAAALGElEQVTHXtvFN+Ij9yr/HLktAE9AjWmVL9sVPQExv0X/KuSbKUU21PilbNRSRwCbwDawkdRlSZV/fCM+MlX+1+DbAvBE1Hmo/ENsl+5E2LwV53WBbKipc/lgqrGHsCXvBAFsAFvAJrCNnYgdnZj4RHxjdIxFzpAF4BkKKir5zL6lmlHVqnhC4KWUkqlGdkvjhD2RNTKJIIDO0T02gC0kwvYm2cQX4hM3KVxgoSwAzwS4fre3ZM2Ezms1drjihHmn76ES+y1n0N3wgY7RNTpH9xsWNRnRzBfOV5UF4JnY8dNabLefWd2qeUaAd/pmmXzgnHHSnskbuZURQKfoFh2j65XZseYvCOAD8YWXS/uaiIAF4ImA3RZnuz1rH7dpdr4uAjhnnDTTk0xTrsuNtf4sAugQXaJTdOtAz4oshAC+Dx+4UHObbMYC8JNqZe2DNZAnyVh1zwgwPck0Jc4bJ+6ZvJELjAA6Q3foEF0Gbs7IT0QAn4fvm1jNircQsADcAmTOpa2BzEFtmTo4b5z44SA/eTPSMq1aK3MRQEfoCp2hu7l0dltvIcHN5/kB2gKwBxxZA6nPtinLA5TBSGQnqXgzUl3K37ys4VDZhq1gYE8kjC7QCbpBR+hqIgkrviAC+Dp83oJNbrYpC8CeVMszcGUhJ0/kjEwgBF5yqXlZA2uKvK6QFzjwBqVAzRnZHgTAHOzRAbpAJ+imp7glR4IAPg5fFwk7bTaSu7YA7FFl5Um+eBeqR5JGKiACvK6QFzhkpfzNDlvWHQM2Z6QVATAGazAHe3SgyfZJAAF8Gz4uAVaTYdECsGdVvZbymb3YSzo8wxqcHDtsWXd8t2DsHetr0AVbMAZr740YwaAI4NPwbUEb2SFxrwF4h/g9iPxxkFrXsnR27SHLEhJAgNcZEiAIFKrH3yNjpkwTYD8KFsHqGnTBECzBFGyjYNCYmIyA6vEL3za5olUYRMAC8CA88zLZoPCvs23KmodePLVYkyRwEECYMmW9stmlW9kGrraW2EgFNmDUYJXJB9iBYbusXaeFAL4Mn5YW12lwawHYm57uCf3I5cRbYu5T7SplBFivbHbpanBhOpXnVAk6BJ+U5ZrDOzIjOxiABRupwAaM5tCzOnEigA/Dl8XJXfpcWQAOqEPeEsPbYgI2YaRXQoDpVJ5TJegQfHSK7m9GfzxOw/SrHDa0D0BlQSZkQ0ZkRWZkBwOwWEkN1mxABPBd+LCATeyetAXgwCbA22LYPRi4mdXJ750BploZ/fE4DVPWx5P8ZGRIwCJwfYmcCWI6aqxjxQre4BFe4RnekQFZkAnZkBFZY5XB+PKDAD4L3+WHmlHpQ8ACcB8yHtMrnbLEoD2SNFIJIMDIkIBF4OKRG4KYjhr/ZgTJ256YviXQaeA7ZZcAzchZr70H6YbmZSTbtKVLJLQND/ACT/AGj/AKz/CODAlAbSx6RABfhc/ySNJI9SBgAbgHGN/JbOFnK79vukYvBgSm8cAIkrc9MX1LoNPA93Wo5ZPg14w2S/n7WMu/CYoHHUkTIBmNchAwhw7KcFCHutCAlrbxd0Nbbwabtkr5om14gBd4miaFld4iAvgofNUWZYtRJgvAC2mFLfyfmXyeCvE+ullIBGtmYQQIipmOWgmQjEY5CJhDB2U4qENdaCzMtjWXKAL4JnwUvipREZJj2wLwgirLPqQ6inwu2KQ1ZQgER8Aa2AYC+CZ81DakSUMKC8AL64nn6T51unHhZq05Q8AQMAR6EcAn4Zt6C1hGEAQsAAeBdZgoU4gY/HApyzUEDIH4EUifQ3wRPil9SdKTwALwSjrD4PlZr5Wat2YNAUPAEBB8EL7IoFgHAQvA6+DetMrPetEBmgv7zxAwBAyBBRHA9+CDnmnS6j6HgAXg5/B7ujYdgI7wNCEjYAgYAoaAIwL4HHyPY3ErFggBC8CBgJ1Clo7AO1en1LGyhoAhYAjMQQBfg8+ZU9fq3CLw/LkF4Ocx9EKBd65yV+qFmBExBAwBQ6ADAXwMvqYjy5JWQMAC8Aqg9zXJXSkdpC/f0g0BQ8AQmIsAvgUfM7e+1fOPQMoB2D8aEVCkg9BRImDFWDAEDIGNIIBPwbdsRJzNiGEBOEJV0lF4Ni9C1owlQ8AQSAwBfAk+JTG2d8GuBeBI1cyzeXScXvYswxAwBAyBEQTwIfiSkWKWvRICFoBXAt6l2abjFPLBS9JdylsZQ8AQMARAoPEZ6jsaH0KCHVEiYAE4SrX8YYr3s1YH+eBnwv6k7v7MADAEDIEeBPAV+Ax8R08RS44EAQvAkShiiA1+oST/t3ycSymHylmeIWAI7BsBfAS+Ap+xbyTSkN4CcBp6En6js8osCCeirrBsGnVDoAMBgi8+Al/RkW1JESJgAThCpQyxRAcrCzkNlbE8Q8AQ2BcC+AR8w76kTl9aC8AJ6rA8yRevk0uQdWPZEHgWAavfQgBfgE9oJdtlAghYAE5ASV0s8jq5f53lqyvP0gwBQ2AfCOAD8AX7kHZ7UloATlinP3Kdii5sh3TCKjTWDYFpCFxKs9NZtO83PuCSZl/pIWABOD2d3XHMowbsemQDxl2GXRgChsAmEaCv0+fp+5sUcEdCWQDegLLZ9cgGDDZibEAcE8EQMAR6EKCP09fp8z1Ftpy8OdksAG9IpWzE4KXrGxLJRDEEDIELAvRt+vjl0r42gIAF4A0o8VYEXrr+L10byr6luk23c0PAEEgTAfoyfZq+naYExnUfApMCcB8RS48LgR8nKb8O8vND5BwXZ8aNIWAITEGAPkxfpk9PqWdl00DAAnAaeprFZVHJJ88IzqpslQwBQ2BVBOi79OFVmbDGgyJgAdgZ3jQLNs8I2pR0msozrneJAFPOPGLU9N1dIrAfoS0A70DXPK7ANBbTWTsQ10Q0BJJFgD5KX6XPJiuEMe6MgAVgZ6jSL8h0Fm/OaX4rdKI4VtwQMATCIUCfpG/SR8O1YpRjQ8ACcGwaCcwPb855+5CfPMwfuCkjbwgYAg4I0Bfpk/RNh+JWZEMIWADekDJdReEhfh7m57lC1zr7LmfSGwJhEKAP0hfpk2FaMKoxI2ABOGbtBOaN5wq/ftpoODDMRt4QeECAUS99jz74kGkJu0HAAvBuVN0taPYmFXfg3Im/FFJ3l7LUPSNgsvtDgD5GX6PP0ff8UTZKKSJgAThFrQXgmTvx//5v+eDOPAB5I2kI7B4B+hZ9jL62ezAMgAYBC8ANDPYfCHBHzp35Zy2fzc+dkWiHIbBrBJ4Xnr5En6Jv0ceep2gUtoKABeCtaNKjHHkt569P+ckvr3gka6QMgd0hQB+iL9Gndie8CTyKgAXgUYj2W6D55ZXCpqX3awEm+VwEmG7mbVZNH5pLJIJ6xkJYBCwAh8U3eeq8kYepMzaOMJWWvEAmgCEQEAH6CH2FPkPfCdiUkd4AAhaAN6DEJURg4whTaUypLdGetWEIpIYAfYM+Ql9JjXfjtwuB8GkWgMNjvKkWmFLj+UXeWbspwUwYQ2AmAvQF+gR9YyYJq7ZTBCwA71Txz4jNTs7mnbW2PvwMjFY3cQSu67z0BfpE4uIY+ysgEHMAXgEOa3IKAqxxsdbFIxZvpZRT6lpZQyBVBLB1bB7bpw+kKofxvT4CFoDX10HyHPCIxf+XyQebT5rfMk1eIhPAEHhEANvGxrF1bP6xhKUYAtMQsAA8Da/lSifYEptPvg7yEyfFbtAERTCWDYEHBLBlbBrbxsYfCliCITATAQvAM4Gzav0I4KTYDYrTYtTQX9JyDIF4EcB2sWFsGZuOl1PjLFUE/n8AAAD//+rKXgcAAAAGSURBVAMAwsLA3LySRnwAAAAASUVORK5CYII=-520

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true