tag:blogger.com,1999:blog-59512475102043556442024-02-20T16:07:53.517-08:00t4uplAnonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.comBlogger18125tag:blogger.com,1999:blog-5951247510204355644.post-72101452398076450742016-12-11T05:47:00.004-08:002016-12-11T17:06:44.140-08:00Solution to "killer is in this room"Solution under constuction<br />
<br />
Evidences:<br />
- Dog's fur<br />
- Fingerprints<br />
- Pack of cigarettes<br />
<br />
- Dog's fur is red herring. You can learn it by talking to wife and cook => victim had a dog so it's natural for him to have dog's fur on his clothes.<br />
- Fingerprints eliminate cook as a suspect. His fingerprints are not present on candlestick, as seen in the report.<br />
- Pack of cigarettes eliminate wife as she doesn't smoke. <br />
<br />
2 remaining suspects are: Business partner and Friend. You can eliminate Business Partner when you ask him about proof of innocennce. Business partner will tell you he can't lift the candlestick. So Friend is the killer.<br />
<br />
**************************************<br />
This is solution to my LudumDare 37 game.<br />
<br />
In case you wanted to play: <br />
http://ludumdare.com/compo/ludum-dare-37/?action=preview&uid=34334Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-49794139332773490992016-03-10T11:03:00.000-08:002016-03-10T14:50:43.988-08:00 Creek puzzle solver
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<span class="relative"><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A0"> Return to the top</a><br /></span>
<span id="A0"></span>
Time: 4-5 days <br>
<br>
<ul>
<li><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A1">Original request<br>
</li><li></a><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A2">Download<br>
</li><li></a><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A3">How to Use<br>
</li><li></a><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A4">Creek puzzle<br>
</li><li></a><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A5">Algorithm - data structure<br>
</li><li></a><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A6">Algorithm - satisfying the numbers on line crossing<br>
</li><li></a><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A7">Algorithm - callback<br>
</li><li></a><a href="http://t4upl.blogspot.com/2016/03/creek-puzzle-solver.html#A8">Single area check <br></a>
</li></ul>
<br>
<br><span class="header1" id="A1">Original request</span><br>
<br>
The project was done for functional programming ([SPOP]) course on my university. The task was to write Creek puzzle solver using Haskell. Project is console only.<br>
<br><span class="header1 id="A2">Download</span><br>
<br>
<a href="https://www.dropbox.com/s/euex4v18uwh89i4/Creek_Solver.rar?dl=0">Dropbox</a><br>
<br><span class="header1" id="A3">How to use</span><br>
<br>
<ol>
<li>Unpack zip.<br>
</li><li>Click on "projekt_SPOP" file in folder. <br>
</li><li>After loading the file type "go" in command line. <br>
</li><li>Text "Podja nazwe pliku z rozszerzeniem" appears.<br>
</li><li>Type in the name of file you want to solve for example "1.txt". It is obligatory to add ".txt" at the end.<br>
</li><li>Program displays contents of the file<br>
</li><li>Program displays "parsowanie poprawne" if the text file is in a correct format.<br>
</li><li>Type "yes" to solve the puzzle<br>
</li></ol>
<br>
Once solved command line displays solution with 0 marked as empty boxes and 1 marking the filled boxes. Solver is meant for puzzles with small dimensions. <br>
<br>
In order for program to use puzzle must be defined in specific format. Folder contains puzzle examples. The format is specified as:<br>
<br>
"Creek (height dimension, wide dimension) [(( record, column), number on the line-crossing), ...] " <br>
<br>
Program has only minor input data control so it's up to the user to provide proper data. Numbering of records and columns start from 0.<br>
<br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjfI7V6CWR5-SeJVshDmYg8DI1mEKLrsL5WNnsgSUUh1AhdqtkmTYKFLIqJUK2bwXEhdfUOzH3kP3SKyrJ1kH0VDX5K0YtIs6990PHlcsL4JysHMaqPmNxJrCeErUoPZfVUeWbmxfLu6n0/s1600/spop_01.png" imageanchor="1" ><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjfI7V6CWR5-SeJVshDmYg8DI1mEKLrsL5WNnsgSUUh1AhdqtkmTYKFLIqJUK2bwXEhdfUOzH3kP3SKyrJ1kH0VDX5K0YtIs6990PHlcsL4JysHMaqPmNxJrCeErUoPZfVUeWbmxfLu6n0/s1600/spop_01.png" /></a>
<br><span class="pictureText">How-to-use as seen in the command line</span><br>
<br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigwGEG_L5Y7hwefATcAK_zpM1HtmjjYgtMvdkQ79RFJJTzlHD1h9Fsx7o8sCZdwcSJbqVXHqhEfdbjxEba4SdidoQVO9PEpFVwKtSXIOYZMzlp8nOUKsWKg7eleriZQHWOAOxN91KnXCk/s1600/spop_02.png" imageanchor="1" ><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigwGEG_L5Y7hwefATcAK_zpM1HtmjjYgtMvdkQ79RFJJTzlHD1h9Fsx7o8sCZdwcSJbqVXHqhEfdbjxEba4SdidoQVO9PEpFVwKtSXIOYZMzlp8nOUKsWKg7eleriZQHWOAOxN91KnXCk/s1600/spop_02.png" /></a>
<br><span class="pictureText">Solution displayed in console</span><br>
<br><span class="header1" id="A4">Creek puzzle</span><br>
<br>
The task in a Creek puzzle is to fill boxes. In order for solution to be legal following criteria must be met:<br><br>
<ul>
<li>Number in the crossing determines how many filled boxes must be in the neighbourhood of the number<br>
</li><li>Unfilled boxes must create one area<br>
</li><li>Filled boxes don't need to be forced to be filled by numbers in the crossing</li></ul><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgM7d3Dp8LWeuv7naDhqQoJ9c1SmS94HTKcTqbe6YjeAzmDQVpieS_wZWHrPr2Da24NghnZ2sa89ZENCCwi_cGRNTkJ_j2InUIdp-mcbKS9mpmgxrOPbWPQvb6eiQEEutUD-dHUWJN-viM/s1600/spop_00_01.png" imageanchor="1" ><img border="0" class="I50" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgM7d3Dp8LWeuv7naDhqQoJ9c1SmS94HTKcTqbe6YjeAzmDQVpieS_wZWHrPr2Da24NghnZ2sa89ZENCCwi_cGRNTkJ_j2InUIdp-mcbKS9mpmgxrOPbWPQvb6eiQEEutUD-dHUWJN-viM/s1600/spop_00_01.png" /></a>
<br><span class="pictureText">Example of solved creek puzzle</span><br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjA7My-TxF7Mnvh1A3Qzr-OZd435kVfUVb6nznyjVNQ3lLHr1gs1o4m6vIcFvjjJb7RATytQn7S8ib8BuS8J_xGsE0ckFO6XL38KkbgQV6PY7Wt3OasVcByYzVOvECn_zK08ErEie5lq6k/s1600/spop_00_02.png" imageanchor="1" ><img border="0" class="I50" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjA7My-TxF7Mnvh1A3Qzr-OZd435kVfUVb6nznyjVNQ3lLHr1gs1o4m6vIcFvjjJb7RATytQn7S8ib8BuS8J_xGsE0ckFO6XL38KkbgQV6PY7Wt3OasVcByYzVOvECn_zK08ErEie5lq6k/s1600/spop_00_02.png" /></a>
<br><span class="pictureText">Example of solved creek puzzle with box being filled without being forced by number in the crossing (the upper left corner)</span><br>
<br>
<span class="header1" id="A5">Algorithm - data structure</span><br>
<br>
Warning: while the algorithm itself is easy to understand it's difficult to explain. I hope given examples makes things easier to understand. If you feel any part needs more explaining be sure to ask. <br>
<br>
In order to solve Creek puzzle backtracking algorithm was used. It's a little smarter version of brute-force. Firstly program seeks to set filled boxes in such way that numbers in the line crossings are satisfied. Once this is achieved program checks if 0s make one area. If yes then solution has been found otherwise the new field with properly field boxes is being searched.<br>
<br>
The field is represented by list of lists. The field contains 3 values:<br>
<ul><li>5 - box is neither filled nor empty<br>
</li><li>0 - box is empty as forced by number in the crossing<br>
</li><li>1 - box is filled as forced by number in the crossing<br>
</li></ul>
<br>
At first field is filled with 5s.<br>
<br>
What the program is trying to do is to put the neighbourhood of the number in the crossing (called archetype in the program) into the field when it's legal. <br>
<br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiARbPbOjZQD9-5zbu1L6tvoarwGGyo0Y46USnAgdwCIJoUbVcvQznGq80QPO98xJgqdAw1R6NZGoRz1jtIHREMwy9xWnnjDYn1L2hHR0YZOhDooCehKNcDp8z7nyWIReA5agd9rlbYCcc/s1600/spop_3.png" imageanchor="1" ><img border="0" class="half" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiARbPbOjZQD9-5zbu1L6tvoarwGGyo0Y46USnAgdwCIJoUbVcvQznGq80QPO98xJgqdAw1R6NZGoRz1jtIHREMwy9xWnnjDYn1L2hHR0YZOhDooCehKNcDp8z7nyWIReA5agd9rlbYCcc/s1600/spop_3.png" /></a>
<br><span class="pictureText">Archetypes for different numbers in the line crossing (bold) - 1s mark filled box, 0 mark empty box</span><br>
<br>
It's ok to insert archetype into the field when numbers in the archetype match numbers on the field or the number on the field is 5 (box can be both empty and filled). If number in the box is 5 after putting archetype on board the value must be changed to the numbers forced by archetype. This is because the number on the crossing forces the boxes in its neighbourhood to be either filled or empty.<br>
<br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjg4gxJKypO8fMBu86hwQnjvto3hSNimPGUIKYslvwoQLJQfq-uoXE0SZaV4vHKAw8oDgRHIBU5AxqeVIgT34ZHxKphyhlEgSgVSSDoXaIOdDgff8Pv66tbW4v505dtni2XVAR8Jg8kVyk/s1600/spop_04.png" imageanchor="1" ><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjg4gxJKypO8fMBu86hwQnjvto3hSNimPGUIKYslvwoQLJQfq-uoXE0SZaV4vHKAw8oDgRHIBU5AxqeVIgT34ZHxKphyhlEgSgVSSDoXaIOdDgff8Pv66tbW4v505dtni2XVAR8Jg8kVyk/s1600/spop_04.png" /></a>
<span class="pictureText">Example of legal putting archetype with 3 in the line crossing in the red spot: Top example shows putting first archetype (since field is filled with 5s only), bottom example shows putting the second archetype. It's ok to put archetype since there is no conflict between 1s already on the field (forced by 2 in the crossing) and 1s and 0s of archetype about to be put. Right side shows field after archetype being applied.</span><br>
<br>
It is illegal to put archetype into the field when:<br>
<ul>
<li>1s are outside of the field as you can't fill boxes that don't exist<br>
</li><li>1s and 0s of archetype about to be put don't match with 0s and 1s already on board
</li></ul>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh5YEX_me-S2plQigfE3-XX6Iudt0cy_x9af4xvt9NJK1PPDT6OcwULd9JON6ZXM7tMu9c01WzJgYvI5sSkA3k13bXcnkOQhJRdm-4t8SuUiGqh6YbzqUbxpTObQRooJisBkIJcN7OuEXE/s1600/pro_01.png" imageanchor="1" ><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh5YEX_me-S2plQigfE3-XX6Iudt0cy_x9af4xvt9NJK1PPDT6OcwULd9JON6ZXM7tMu9c01WzJgYvI5sSkA3k13bXcnkOQhJRdm-4t8SuUiGqh6YbzqUbxpTObQRooJisBkIJcN7OuEXE/s1600/pro_01.png" /></a>
<br>
<span class="pictureText">Illegal move (red) - 1s outside of field </span><br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinsX9JJ1fazTD37S3JLNauAvsSIJYGwrqPYt8KkTgNQoVoxjJ65ugtBVIAba4v8LHuvWCSJ2lO4dzNI7KbFuTXVvpEqgT8wBl_wV9UsEuDGDLFO7fnfLQVl8q1OvrI5y_L8uF36HV-I8Q/s1600/pro_02.png" imageanchor="1" ><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinsX9JJ1fazTD37S3JLNauAvsSIJYGwrqPYt8KkTgNQoVoxjJ65ugtBVIAba4v8LHuvWCSJ2lO4dzNI7KbFuTXVvpEqgT8wBl_wV9UsEuDGDLFO7fnfLQVl8q1OvrI5y_L8uF36HV-I8Q/s1600/pro_02.png" /></a>
<br>
<span class="pictureText">Illegal move (red) - right bottom 0 of archetype doesn't match 1 that is already on board</span><br>
<br><span class="header1" id="A6">Algorithm - satisfying the numbers on line crossing</span><br>
<br>
In order to satisfy the numbers in the line crossing program uses special list and a number variable. List stores which archetypes has been put in the field. Number variable keeps index which number in the crossing is being put at the current moment. Information about what is the value of the number in the crossing is kept in another structure along with coordinates (parsed text file data).<br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiosM-WSPyCZ24_jEJw83Mcuq2bJR9xDv6ZvOecriUPD1o4By9_Vusg8BkT_Z2AehDb6vXrsUF-DdhhOKdR1X4sFNwUuGyAk5IBT09Ns7LClRYkrZj9iCTHN_Lp9HNF8ygmG7mecQet0nM/s1600/spop_05.png" imageanchor="1" ><img border="0" class="I4" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiosM-WSPyCZ24_jEJw83Mcuq2bJR9xDv6ZvOecriUPD1o4By9_Vusg8BkT_Z2AehDb6vXrsUF-DdhhOKdR1X4sFNwUuGyAk5IBT09Ns7LClRYkrZj9iCTHN_Lp9HNF8ygmG7mecQet0nM/s1600/spop_05.png" /></a>
<br>
<span class="pictureText">List with number variable (red) at different stages of program</span><br><br>
<ol>
<li>Start of algorithm - first number on the crossing is being placed with 0th archetype (<br>
<ul><li>for 0 in the crossing that would be (0,0;0,0)<br>
</li><li>for 1 (1,0;0,0)<br>
</li><li>for 2 (1,1;0,0)<br>
</li><li>for 3 (1,1;1,0)<br>
</li><li>for 4 (1,1;1,1)<br>
</li></ul>
</li><li>0th archetype for first number on the crossing was legal and has been put in. Program moves on to putting the second number on the crossing<br>
</li><li>Archetype with index 0 for second number in the crossing was illegal so program tries out archetype with index 1<br>
</li><li>Program tried out all archetypes for second number and none of them was legal. Program performs callback - it forces the previous number in the crossing to change it's archetype. If for previous number it was the last available archetype (so there are no more archetypes available) the previous archetype callback forcing the change of archetype on the pre-previous number. This goes until some number have archetypes available.<br>
</li><li>Program ends when number variable is pointing at position outside of the list. All numbers in the crossings have been satisfied. On the other hand if it's impossible to find legal archetype for first number in the crossing it means solution doesn't exist.<br>
</li></ol>
<br><span class="header1" id="A7">Algorithm - callback</span><br>
<br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgQvaloGd7ylfFwN2YguuS-XDFDLLZF1GR1yUUvoxP8-DfhnMFGRV4rucZq_zqiD8vbKJ0mG4jhZWckdoB-IxfJPezuwoi5NtCXqGnUd7VRBH5ZiIqfwXKGCbAz7rZP1jf2ud3zbRiSX_o/s1600/spop_06.png" imageanchor="1" ><img border="0" class="I2" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgQvaloGd7ylfFwN2YguuS-XDFDLLZF1GR1yUUvoxP8-DfhnMFGRV4rucZq_zqiD8vbKJ0mG4jhZWckdoB-IxfJPezuwoi5NtCXqGnUd7VRBH5ZiIqfwXKGCbAz7rZP1jf2ud3zbRiSX_o/s1600/spop_06.png" /></a>
<br><span class="pictureText">Multi-callbacks example </span><br>
<br>
Program tries to put 5th number on the line crossing with value 3 on the crossing. This is illegal due to upper-left corner (0 in the field and 1 in the archetype). It's the last archetype available for number 3 so callback is performed. Blue numbers show the order at which numbers were placed. 4th number can't change archetype because it is out of archetypes so it calls callback. 3rd is out as well so it callbacks. 2nd number has some archetypes available so callback stops there.<br>
<br>
Callback forces to change field so that only numbers on the left from the red square are applied. This is done by generating new field with 5s only and applying the archetypes of number in the crossings only to the left of the red square. In this example. Only archetype with index 2 for number 1 on crossing is applied to the field.<br>
<br>
The bottom picture shows which archetype will be tested in the next iteration (after callbacks) and for which number.<br>
<br><span class="header1" id="A8">Single area check</span><br>
<br>
After program satisfies numbers in the cross lines constrain it needs to check if 0s make single area. It is done using grow region algorithm. If you need further reading on grow region algorithm you can go to <a href="https://en.wikipedia.org/wiki/Region_growing">wikipedia</a> or <a href="http://t4upl.blogspot.com/2015/08/stencylzerg-terrain-infection-part4.html">4th part of my Zerg infection guide</a> (as it works similar).<br>
<br>
The idea for checking if 0s make up a single region is to change 0s into 1s starting from single 0 and at the end checking if there are any 0s left. At first a 0 is picked from the field - any 0 will do. That box is added to the list and its value is changed to 1. List contains 1s that will check neighbourhood for 0s and 5s to change into 1. We consider 5s because they can be both 0s and 1s - they can serve as a bridge between 0s. We need to make a copy of the field as original will be needed later.<br>
<br>
In each iteration head of the list is picked. For the box from the head neighbourhood of the box is checked in search of 0s and 5s. If there are any they are changed into 1s and added to the list. Head of the list is then removed. Algorithm does it until there is something in the list.<br>
<br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4iMom3_z878_3Kc0JRG1Mg8H7ZvXippBH5WTP0xvyeKeN2cyIP4SAMRNL7yBMadf_ARTx2ylYqNOopRpcDw-SxDApsK3xXn3AfOAELpgOJMm5U1CR6xl4MfhhNDWNOW8M8OLUgAN2y-Y/s1600/spop_09.png" imageanchor="1" ><img border="0" class="I15" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4iMom3_z878_3Kc0JRG1Mg8H7ZvXippBH5WTP0xvyeKeN2cyIP4SAMRNL7yBMadf_ARTx2ylYqNOopRpcDw-SxDApsK3xXn3AfOAELpgOJMm5U1CR6xl4MfhhNDWNOW8M8OLUgAN2y-Y/s1600/spop_09.png" /></a>
<br>
<span class="pictureText">Single area check algorithm in a pictures</span><br>
<br>
<br>
Once algorithm is done program counts number of 0s in the field. If count is equal to zero that means 0s make a single area, with possible 5s serving as bridges. Program again does the region grow this time changing 0s into 7s. This shows which 5s are supposed to be turned into 0s. After it is done 7s are turned into 0s and 5s(not serving as bridges) into 1s. Print the solution and be happy.<br>
<br>
If count of 0s is bigger than 0 this means that potential solution doesn't meet single area criteria. In this case solution is ignored. Red square is moved to the last position in the list. New field is created and then all archetypes of numbers in the crossing lines are applied except the last one. Index for last number is increased by one or callback is called if required. All these actions can be summarized as a callback called from the extra number if list had one more number. <br>
<br>
<br>
<br>
<span class="goodbye">Thank you for reading. If you have any questions be sure to ask on <a href="http://t4upl.newgrounds.com/">Newgrounds</a>, <a href="https://twitter.com/T4Upl">Twitter</a> or in the comments below.</span><br />
<br>
<br>
<span class="tag">Tags: Creed, puzzle, sudoku, solver, Haskell, functional programming, logical</span><br>
<br>
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</html>Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-38187630085101009922016-02-22T14:08:00.001-08:002016-03-10T11:28:05.127-08:00Interactive Presidential Election financing map<html lang="en-US">
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position: fixed;
left: 25vw;
bottom: 10px;
right 50px;
//border: 3px solid #73AD21;
background-color: white;
//width: 100vw;
height: 30px;
// allign: center;
z-index: 2;
}
span.tag {
font-size:70%;
}
span.whitebox {
position: fixed;
bottom: 0px;
width: 50vw;
height: 60px;
background-color: white;
border: 3px solid black;
z-index: 1;
}
img.half {
width: 110%;
height: 110%;
}
img.proportionimage{
width: 100%;
height: 100%;
}
</style>
<span class="whitebox"> </span>
<span class="relative"><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A0"> Return to the top</a><br /></span>
<span id="A0"></span>
Time: 10-14 days <br />
<br />
<ul>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A1">Original request</a><br />
</li>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A2">Video</a><br />
</li>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A3">Download</a><br />
</li>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A4">How to use</a><br />
</li>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A5">Components</a><br />
</li>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A6">Map building</a><br />
</li>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A7">Click on self </a><br />
</li>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A8">Scaling the bars (the right way)</a><br />
</li>
<li><a href="http://t4upl.blogspot.com/2016/02/interactive-presidential-election.html#A9">Problems</a></li>
</ul>
<br />
<span class="header1" id="A1">Original request</span><br />
<br />
The project was done for Social Networks ([TASS]) course on my university. The task was to represent financing of candidates as a map in a neat way. The map was supposed to allow the user to choose between individual contributions and contributions via political committees. The choice of elections was left up to the student so I picked 2012 national election.<br />
<br />
I chose to do project in Unity3D because it was a lifeboat for me. Originally I planned to use Google Maps API but since it requires JavaScript and I was too short on time to learn it I went for tools I've used before - Unity3D.<br />
<br />
<span class="header1" id="A2">Video </span><br />
<br />
<object data="http://www.youtube.com/embed/OzuM0j2EB7A" height="315" width="420">
</object><br />
<br />
<span class="header1" id="A3">Download</span><br />
<br />
<a href="https://www.dropbox.com/s/51zj9lsg13iuu9c/TASS_Unity.rar?dl=0">https://www.dropbox.com/s/51zj9lsg13iuu9c/TASS_Unity.rar?dl=0 </a><br />
<br />
Warning: Code is a complete mess so if you decide to open it in order to analyze it you are doing it on your own risk. For in this code dragons and tentacle monsters await to do unspeakable things to you.<br />
<br />
<span class="header1" id="A4">How to use</span><br />
<br />
Project can be only viewed in Unity window. It can't be exported to exe. This is due to using standard C# reading data method instead of Unity reading method.<br />
<br />
After opening the project there should be one object called "Master" on the scene. If it isn't there open scene <scene_1>.<br />
<br />
After pressing "play" user sees "Main view".<br />
<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIbgzTV9PITyGH92d2Lxrx9bnYZl3p89NJGl61Bgi6MXAjb0My2CeZfO1IhyphenhyphenQZ5vrl75YDwEXprLO5FzzxceOljJykpssBCHgs5Q3LHpQajwCiTpjX5Z4rTAJGXLv4grc9p5md3Fcy13U/s1600/Main_view.png" imageanchor="1"><img border="0" class="half" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIbgzTV9PITyGH92d2Lxrx9bnYZl3p89NJGl61Bgi6MXAjb0My2CeZfO1IhyphenhyphenQZ5vrl75YDwEXprLO5FzzxceOljJykpssBCHgs5Q3LHpQajwCiTpjX5Z4rTAJGXLv4grc9p5md3Fcy13U/s1600/Main_view.png" /></a>
<span class="pictureText"> Main view</span><br /><br />
GUI:<ol>
<li>Map of USA with charts objects<br />
</li>
<li>Panel for choosing types and size of contributions<br />
</li>
<li>Panel for choosing the visible states charts<br />
</li>
<li>Panel showing information about clicked state<br />
</li>
<li>Code of clicked state<br />
</li>
<li>Button allowing to go to the "State view"</li>
</ol>
<br />
Clickable:<br /><ul>
<li>Charts objects[1] - After clicking a chart, panel [5] displays detailed information about financing in the state. Financing criteria are based on tick-boxes in panel[2]. Click bars or space between them (not the text below).<br />
</li>
<li>Tick-boxes in panel[2] - Allows to choose which contributions will be used. It is allowed to choose size of contributions (small, medium, big, huge) and source of contribution (individual or authorized committee).<br />
</li>
<li>Tick-boxes in panel [3] - allows to enable or disable display of charts. <br />
</li>
<li>Button [6] - allows to go to the "State view" </li>
</ul>
<br />
Object details:<br /><ul>
<li>Charts - Two bars represent financing for each candidate (blue - Obama, red - Romney). Height of bars is proportional to the contributions gathered. Under the chart there is a text with code of the state and percentage share of contributions (first number is for Obama).<br />
</li>
<li>Tick-boxes in panel[2] - tick-boxes allow to restrict what kind of contributions will be used for the map. Based on single contribution size they are classified as: small (0-250$), medium(250$-500$), big (500-1000$), huge (1000$++)<br />
</li>
<li>Panel [4] - at first it doesn't show any information (marked as YY/YY). After clicking a state chart panel fills up with financing data in a state. Four rows <number>/<number> display information about how big percent make contributions of given size in reference to total of contributions. First number refers to Barrack Obama, second to Mitt Romney. Information is filtered according to the tick-boxes in panel [2]. If there is an error (tick-boxes filters all data) XX/XX is displayed.</li>
</ul>
<br />
<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_4sLICCjs803iERboF0LjOk435KkcxQlKcRb6Nx6Av5QgIsobLMc2TW83-7ERKnd_26V06ZJLc60k7c32K-4FJi4itr447qheB8JxhpM-5STV-vlxT4hEMBmaNXSXzLKqbt8cxeQJn2E/s1600/state_view.png" imageanchor="1"><img border="0" class="half" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_4sLICCjs803iERboF0LjOk435KkcxQlKcRb6Nx6Av5QgIsobLMc2TW83-7ERKnd_26V06ZJLc60k7c32K-4FJi4itr447qheB8JxhpM-5STV-vlxT4hEMBmaNXSXzLKqbt8cxeQJn2E/s1600/state_view.png" /></a>
<br />
<span class="pictureText">State view</span><br />
<br />
"State view" is similar to "Main view". Changes involve:<br />
<ul>
<li>Chart for the biggest cities are displayed instead of charts of the states - cities were chosen from the list of 300 biggest cities in USA. There is a limit of 6 cities per state.<br />
</li>
<li>Panel [7] - represents contributions in areas that weren't covered by the cities<br />
</li>
<li>Button[8] - allows to switch to "Main view"</li>
</ul>
<br />
<span class="header1" id="A5">Components</span><br />
<br />
In order to make the project work it was needed to prepare set of data and scripts.<br />
<br />
Data:<ul>
<li>FEC csv files - 4 table containing as records single contributions. Separate files for individual and authorized political committees for 2 candidates (Barrack Obama and Mitt Romney). <br />
</li>
<li>Static Google map API - generates map image based on html request. Allows to set zoom, resolution, markers. API can get location either from geographical coordinates or from names (for example "AK+state+USA").<br />
</li>
<li>List of 300 biggest cities in USA (wikipedia)- needed for choosing cities in the "State view". Cities were limited to 6 per state.<br />
</li>
<li>Sorted list of states by total area (wikipedia) - order determines the zoom. Smaller states require bigger zoom<br />
</li>
</ul>
<br />
Scripts:<ul>
<li>Java script for data aggregation - summing up records by size of contribution and location (city/state)<br />
</li>
<li>Java script for downloading maps - project requires one map serving as a background and series of maps with a single marker for finding states/cities<br />
</li>
<li>Java script for finding red marker location - scripts finds the peak of the marker in the image<br />
</li>
</ul>
<br />
<span class="header1" id="A6">Map building</span><br />
<br />
Firstly the map with no marker was downloaded. This map serves as a background. Then for each state there was downloaded an image with single red marker pointing at state. In order to know where to place chart objects in Unity3D we need to use proportion. For each image with marker the position of the peak of the marker is found and saved in a text file. In addition we know the width and height of the image (in pixels) and the width and height of the image in Unity position units (using bound.size).<br />
<br />
Sidenote: marker used are reds because they stand out from green-blue colours used in map. While searching from peak of the marker scripts start from bottom right and goes up. This makes sure that first pixel that is red enough is the peak of the marker<br />
<br />
<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEijYRt3sZfaeAHWqpnvl03jWLQCMcIv-DMNwC2iu7j-KyruDS-U5pOva0bg0PWHja9o1baQoo8e5vNW0KK2VM8Eq26QBlnIKyzFD5za2mBLITYZUPydh5igx9FPOHCa7Mf4K2fdwvq_WdI/s1600/staticmap.png" imageanchor="1"><img border="0" class="half" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEijYRt3sZfaeAHWqpnvl03jWLQCMcIv-DMNwC2iu7j-KyruDS-U5pOva0bg0PWHja9o1baQoo8e5vNW0KK2VM8Eq26QBlnIKyzFD5za2mBLITYZUPydh5igx9FPOHCa7Mf4K2fdwvq_WdI/s1600/staticmap.png" /></a>
<span class="pictureText">Background image</span><br />
<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg61IrFAjAT8FDa3Fg-39YFaWhStE-wM7MdcMP5sUCEEEKuJYbTQC2KQ6EXy5uAKCZIIk6KePRxKOe6ygGtzAUznbiS92QZl27veszbrHY-ggHln4OnKQJC7ajHTBHn-cF1cT0-OdB_3Sc/s1600/static_marker.png" imageanchor="1"><img border="0" class="half" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg61IrFAjAT8FDa3Fg-39YFaWhStE-wM7MdcMP5sUCEEEKuJYbTQC2KQ6EXy5uAKCZIIk6KePRxKOe6ygGtzAUznbiS92QZl27veszbrHY-ggHln4OnKQJC7ajHTBHn-cF1cT0-OdB_3Sc/s1600/static_marker.png" /></a>
<span class="pictureText">Image with Louisiana marked</span><br />
<br /><br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkKKDUbKsDXiOdSCyWNQG4mO0-hQu7JzOlEuQGy2XWC9T1OoUl20y3eqbygWekJXzTrKiWelORvHTPMeleAWPw4T-xNKZi1zQ6YcdnkcgLdSKnNCnbv7WzgovxHNyEY8ThVVH7DIpZD2s/s1600/State_txtfile_example.png" imageanchor="1"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkKKDUbKsDXiOdSCyWNQG4mO0-hQu7JzOlEuQGy2XWC9T1OoUl20y3eqbygWekJXzTrKiWelORvHTPMeleAWPw4T-xNKZi1zQ6YcdnkcgLdSKnNCnbv7WzgovxHNyEY8ThVVH7DIpZD2s/s1600/State_txtfile_example.png" /></a>
<br /><br />
<span class="pictureText">Piece of text file used for positioning charts on USA map. Format of lines: <x pixel position of peak>, <width of image>, <y pixel position of peak>, <height of image></span><br />
<br /><br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiObcV4kokjOs71KpJoL_bRldprZfqbkjCesBZI0Q8W65KipQ5SupQRqK8Gk5VfFnanZC-PWYzNgZJNSL59CieGbj7EtQsnXWZQK_UHGL0zlH_aeErT603XnH4bQGJBHhOFymDwiUqGw1k/s1600/proportion.png" imageanchor="1"><img border="0" class="proportionimage" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiObcV4kokjOs71KpJoL_bRldprZfqbkjCesBZI0Q8W65KipQ5SupQRqK8Gk5VfFnanZC-PWYzNgZJNSL59CieGbj7EtQsnXWZQK_UHGL0zlH_aeErT603XnH4bQGJBHhOFymDwiUqGw1k/s1600/proportion.png" /></a>
<span class="pictureText">Proportions for chart position explained. Only "x position in Unity" is unknown.</span><br />
<br />
<br />
In order to display right image (the image of picked state and not any of other ones) in the "State view" function "Resources.LoadAll<Sprite> ()" was used.<br />
<br />
<span class="header1" id="A7">Click on self</span><br />
<br />
Before I switched to Unity I was working in Stencyl. Stencyl has a nice event called "When pressed on self" which triggers event whenever a player pressed mouse while on the sprite of the Game object. I know that in Unity this is usually done by using raycasting. Since I'm not yet familiar with raycasting and I felt comfortable with using Stencyl thinking I wrote Unity version of "When pressed on self".<br />
<br />
Code is realized by "OnClickScript" script.<br />
<br />
How it works:
<ol>
<li>Object is created<br />
</li>
<li>Object is assigned a sprite<br />
</li>
<li>Object calls "ignite" function giving as parameters coordinates of left top and right bottom corners of sprite. Coordinates in Unity position units.<br />
</li>
<li>For object <mode> variable is set. This says which function will trigger upon clicking on the object.<br />
</li>
<li>When mouse is clicked mouse position is translated from pixels to Unity position units. If object is clickable (as marked by <clickable> bool variable) and mouse is inside the rectangle ("created" during "ignite call") the function is called. The choice of function is based on <mode> variable. <br />
</li>
</ol>
<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEges41VkhZ_ViXKTs17O0TaP1C-LPg-REbDyqgjvWT9UAAx5xsAMhgakYx00Jj_r5ZHIJD4Of3Xv1ByEEGLSNAaNdsMgZcBHp9tihzsFgh-cqRaHmKOi9MIXew7tyJoEEiuiLhMhbe47QY/s1600/chart_with_green.png" imageanchor="1"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEges41VkhZ_ViXKTs17O0TaP1C-LPg-REbDyqgjvWT9UAAx5xsAMhgakYx00Jj_r5ZHIJD4Of3Xv1ByEEGLSNAaNdsMgZcBHp9tihzsFgh-cqRaHmKOi9MIXew7tyJoEEiuiLhMhbe47QY/s1600/chart_with_green.png" /></a>
<br />
<span class="pictureText">The reason why "ignite" function takes corners (green points) and not sprite as argument is because by giving corners user can click on any place between the corners, even space between the bars, and it will still trigger a function.</span><br />
<br />
Setting <clickable> as false can temporary disable the script. This is useful when user switches to "State view". States charts are only made invisible (they are not destroyed) but in order not to make something stupid clicking invisible objects must be disabled. That's when setting <clickable> as false comes in.<br />
<br />
<span class="header1" id="A8">Scaling the bars (the right way)</span><br />
<br />
Hierarchy of chart object:<ul>
<li>chart - main object<br />
<ul>
</ul>
</li>
<li>TextObject - contains text under chart<br />
</li>
<li>BlueGuardian - used for scaling<br />
</li>
<ul>
<li>BlueObject - blue bar</li>
</ul>
</ul>
</body></html><br />
<li>RedGuardian - used for scaling<br />
</li>
<br />
<ul>
<li>RedObject - red bar</li>
</ul>
<br />
<br />
BlueObject and RedObject are placed in such way that the bottom of the bar is at the centre of BlueGuardian and RedGuardian objects. This is important because we want bars to grow and not scale along their centre.<br />
<br />
<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4cGTbECWAq5oBHKiZzaxiqY94j9oJqWLPHTbe-pzB0ChAE6964zHizN4PyOAsh7pPTrDvuA5w_wwDaQyQ58ofev-Im7K9eBKBbH2cRnyEkTN_nz3P0oVN_aSO9alOZXKWVcxqVRwkGNU/s1600/pivot.png" imageanchor="1"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4cGTbECWAq5oBHKiZzaxiqY94j9oJqWLPHTbe-pzB0ChAE6964zHizN4PyOAsh7pPTrDvuA5w_wwDaQyQ58ofev-Im7K9eBKBbH2cRnyEkTN_nz3P0oVN_aSO9alOZXKWVcxqVRwkGNU/s1600/pivot.png" /></a>
<br />
<span class="pictureText">Point shows the centre of BlueGuardian. Blue bar(BlueObject) is placed so it's bottom is at the centre of BlueGuardian.</span><br />
<br />
<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjebWgAuQkXuGB40ci2wUTmQgzp4tKoqVbEu37FgoZEfvBPbSd2LccvTO_gUjvPmd1TXq-H0IAWGVyk9LSA25dGBzBpTtVxXMVMBy3WkZfeNW_ZqrXGxyVe4ZAtF67Xs3YLEsW4FjEgCCA/s1600/3bars.png" imageanchor="1"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjebWgAuQkXuGB40ci2wUTmQgzp4tKoqVbEu37FgoZEfvBPbSd2LccvTO_gUjvPmd1TXq-H0IAWGVyk9LSA25dGBzBpTtVxXMVMBy3WkZfeNW_ZqrXGxyVe4ZAtF67Xs3YLEsW4FjEgCCA/s1600/3bars.png" /></a>
<br />
<span class="pictureText">Scaling explained: 1 - chart object; 2- BlueObject with scale y=2, not really what we want; 3 -BlueGuardian with scale y=2, exactly what we wanted</span><br />
<br />
<span class="header1" id="A9">Problems</span><br />
<br />
While making the project several things made my life more difficult.<br />
<br />
Data parsing:<br />
<ul>
<li>In the csv file if column in form of "\" would make the program unresponsive.<br />
</li>
<li>A lot of random dots, commas, spacebars in places where they shouldn't be<br />
</li>
<li>For the "State view" there was a need to generate pictures with state as background and the marker on the single city. Name of the images must have described what was in the picture. Using spacebar was confusing as you don't know whether you mean spacebar as separation between city and state or separation between two words of the state (New <spacebar> York). In the end the naming convention was <state with "_" as separator if name of the state had more than one word in name> "+" < city with "_" as separator if name of the city had more than one word in name></li>
</ul>
<br />
Static Google maps:<br />
<br />
This can be very tricky. If you ask for place not detailed enough you can get strange results. Asking for "USA+LA" gives Laos. Asking for "Washington+USA" gives Washington D.C. and not the state of Washington. In some cases the marker can be placed out of the picture. While using static Google maps be sure to check if there is actually marker on the map.<br />
<br />
Negative contribution:<br />
<br />
I don't know how does it work but in the contribution data there are records which have negative values. These data have been omitted.<br />
<br />
<br />
There were others problems as well but they were more kind of one time thing that something that was causing trouble through the project. Of course you can deal with these problems but while being overworked and tired dealing with random commas is something extremely irritating.<br />
<br />
<br />
<br />
<span class="goodbye">Thank you for reading. If you have any questions be sure to ask on <a href="http://t4upl.newgrounds.com/">Newgrounds</a>, <a href="https://twitter.com/T4Upl">Twitter</a> or in the comments below.</span><br />
<br />
<br />
<span class="tag">Tags: Election, map, static, Google, 2012, maps, FEC, presidential, president, vote, campaign, contribution, financing, money, Obama, Barrack, Mitt, Romney, finance, support, Republican, Democrat, API</span><br />
<br />
<br />
<br />
<br />Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-43992221508361884052016-02-19T06:38:00.002-08:002016-02-19T06:43:01.746-08:00Love me, Hate me, Twitt me<style>img.hello{
max-width:50%;
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I've set up a twitter. Yay! Be sure to twitt me or follow me. It's nice to see that this blog is getting through to the people.
<br><br>
<a href="https://twitter.com/T4Upl">https://twitter.com/T4Upl</a>
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjox5McBGLqWNpBP8H8YjrqM6E_ifYq8wwSW71a6-SjA8nMR2Ewct-xtSU_LUyH7UssuDwF1CvHtPMRO_5v_uZ4rjB-Pq26GMuqR1VPJ8DMN2n_NDpCDQe1U5BM4X1o1bmnRq7XkYNv82o/s1600/Twitter-icon.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjox5McBGLqWNpBP8H8YjrqM6E_ifYq8wwSW71a6-SjA8nMR2Ewct-xtSU_LUyH7UssuDwF1CvHtPMRO_5v_uZ4rjB-Pq26GMuqR1VPJ8DMN2n_NDpCDQe1U5BM4X1o1bmnRq7XkYNv82o/s1600/Twitter-icon.png" /></a>Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-1393062399547511342016-02-19T06:06:00.001-08:002016-02-22T04:03:19.411-08:00Path-finding using sensors<!DOCTYPE html>
<html lang="en-US">
<body>
<style>
div.header1 {
font-size:120%;
font-weight:bold;
}
div.pictureText {
font-size:80%;
}
div.tag{
font-size:70%;
}
img.hello{
max-width:50%;
max-height:50%;
}
</style>
Time: 5-7 days<br><br>
<ul>
<li><a href="#A1">Original request </a>
</li><li><a href="#A2">Idea</a>
</li><li><a href="#A3">Video</a>
</li><li><a href="#A4">Download</a>
</li><li><a href="#A5">How to use</a>
</li><li><a href="#A6">How does it work</a>
</li><li><a href="#A7">A word of warning</a></li>
</ul>
<br>
<div class="header1" id="A1">Original request</div>
<br>
The project was done for Multiagents Systems ([WSD]) course on my university. Students were given a lot of freedom in both choice of tools and interpretation of topic. The bottom line was to develop a product that could be used to support people lost in the main hall who are searching for their classrooms.
<br><br>
The only restriction was that a final product must be a multiagent system - many independent units working for themselves but somehow through their actions in the end solving the given problem. This restriction made use of typical pathfinding algorithms such as A* impossible because they involve using maps. Using maps means looking at the problem as an integrated whole and not through the eyes of a single agents which have limited field of view.
<br><br>
<div class="header1" id="A2">Idea</div>
<br>
The idea was to create network of sensors in the building which would be able to communicate with each other and humans (via mobile phone application). There are two types of sensors:
<ul>
<li>blue - they represent the classrooms
</li><li>green - they exists so that network would be fully connected</li>
</ul><br>
The project was done only as virtual prototype, some of the real life rules were adjusted to suit virtual environment.
<br><br>
From user perspective this project works like this:
<ul>
<li>Human stands next to the sensor of a classroom
</li><li>Human tells mobile application what classroom is being searched
</li><li>Application contacts with sensor giving it task to find a classroom
</li><li>Sensors contact among themselves to find the way to searched classroom
</li><li>Sensor return paths to the classroom, the longer the human waits the more paths to the searched classroom they will get</li>
</ul>
<br>
<div class="header1" id="A3">Video </div>
<br>
<object width="420" height="315"
data="http://www.youtube.com/embed/yFXdF8JTAHg">
</object><br>
<a href="https://www.youtube.com/watch?v=yFXdF8JTAHg">https://www.youtube.com/watch?v=yFXdF8JTAHg</a><br>
Video presents older version. Minor changes have been made.
<br><br>
<div class="header1" id="A4">Download</div>
<br>
<a = href="https://www.dropbox.com/s/cxaw7izk4k2dy8l/WSD.rar?dl=0">https://www.dropbox.com/s/cxaw7izk4k2dy8l/WSD.rar?dl=0</a>
<br>
Warning: Code is messy so if you decide to analyze it you are doing it on your own risk.
<br><br>
<div class="header1" id="A5">How to use</div>
<br>
Controls:
<ul>
<li>Arrows - Control of active human
</li><li>"=" - Start searching for the classroom
</li><li>"o" - Switch active human
</li><li>"p" - pause
</li><li>Editable text field in top left corner - write ID of classroom you want to find</li>
</ul><br>
Clickable objects:
<ul>
<li>human - prints its ID, number of paths to the searched classroom and paths to the searched classroom
</li><li>outgoing packet - prints ID of classroom searched, list of sensor IDs already visited, ID of sensor where it's going
</li><li>gather packet - prints list of sensor IDs that packet visited as outgoing packet, list of sensor IDs that are yet to be visited before returning to player
</li><li>sensor (blue and green) - prints number of neighbours and neighbours IDs</li>
</ul>
<br>
<div class="header1" id="A6">How does it work</div>
<br>
At first sensors ask other sensors if they are close enough to be recognized as neighbours. Sensors keep the list of its neighbours. Each sensor is given unique ID but human user can ask only for location of blue sensors. Mobile applications are given ID upon being downloaded to the mobile phone.
<br><br>
Communication is based on exchanging information packets (yellow and purple circles). There are two types of movements in the network: outgoing(yellow) and gathering(purple).
<br><br>
In outgoing communication packets are trying to get to the searched classroom. The information is send to all neighbouring sensors unless that sensor had this packet before. Checking if sensors had the packet before prevents occurrence of endless loops. Upon getting to the destination sensor, packet is killed and packet's information is placed in sensor's message queue. Once in a while sensor gets message from queue, sends packets to neighbours then removes message from queue.
<br><br>
If packet found searched classroom the packet changes from outgoing to gathering packet and returns to the human the same way it was outgoing. To achieve this the list of visited sensors ID is copied. Packet follows the list from the end removing the IDs from the rear of one of the lists. The second list keeps the path towards the searched classroom. Once packet gets to human the path is added to the list of paths kept by mobile application.
<br><br>
<div class="pictureText">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9z56rDA_7Eao-2fYkFdeDNjZzAMbhaITsU1IU7Y-xl1Pqx_Rsb3CpF2xfIN-9GmV8X0wCU-DiY5-2fzVkJorVk_cUQyFwTNHS85ujFt_8elryXnSO6l1IqgQIyU2E01WZRadY_jUXdNI/s1600/WSD_00.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9z56rDA_7Eao-2fYkFdeDNjZzAMbhaITsU1IU7Y-xl1Pqx_Rsb3CpF2xfIN-9GmV8X0wCU-DiY5-2fzVkJorVk_cUQyFwTNHS85ujFt_8elryXnSO6l1IqgQIyU2E01WZRadY_jUXdNI/s1600/WSD_00.png" /></a>
<br>
Start view. Human is looking for classroom with ID=5.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8LPQejOpV8rEBkrxmGZR3LPdn18D8ph6NboIMzj9err4Pht4bCb5nAeFyDCHAoK3xuT5aRUY0h-Thrx83qo0DrAc_dU-QvEWsCN4xKmRv8ygiJRqE2UlbsD9RcDWNd9gMKj1ZqNphWk4/s1600/WSD_02.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8LPQejOpV8rEBkrxmGZR3LPdn18D8ph6NboIMzj9err4Pht4bCb5nAeFyDCHAoK3xuT5aRUY0h-Thrx83qo0DrAc_dU-QvEWsCN4xKmRv8ygiJRqE2UlbsD9RcDWNd9gMKj1ZqNphWk4/s1600/WSD_02.png" /></a>
<br>
Human in range so the outgoing packet is being sent. Application adds application ID to the list. "I" is added in front of ID to mark it as application ID and not classroom ID.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi07MYMi3liLZG5PEVgkomGQCzy-kBF53O7YSLO_a83IKi68AbGYqS41CNU-ZowyxndNM685yL-GCS6b8DJ8OPGiIlMh4FNVjj_K9I-ZAECWkfbLcrY0f1GK_FDGyzszP6KMq8wO3lcjIo/s1600/WSD_03.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi07MYMi3liLZG5PEVgkomGQCzy-kBF53O7YSLO_a83IKi68AbGYqS41CNU-ZowyxndNM685yL-GCS6b8DJ8OPGiIlMh4FNVjj_K9I-ZAECWkfbLcrY0f1GK_FDGyzszP6KMq8wO3lcjIo/s1600/WSD_03.png" /></a>
<br>
Packet reached its destination. Packet dies and puts its information into message queue of sensor. Sensor adds its ID to the list.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRkapqWCVw2hfq-wlx7I_1iLMuZCHieaqDwHQrkgQtB1oCpt6oZ5Eg7hHj8a6tirCiSlgI2cSe3KWUwDo8Cc_2DK_q5wZQs6ICk5WGredxhnQ7iSH5dsmTA-p_QpNtngst95qxyPg3smI/s1600/WSD_04.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRkapqWCVw2hfq-wlx7I_1iLMuZCHieaqDwHQrkgQtB1oCpt6oZ5Eg7hHj8a6tirCiSlgI2cSe3KWUwDo8Cc_2DK_q5wZQs6ICk5WGredxhnQ7iSH5dsmTA-p_QpNtngst95qxyPg3smI/s1600/WSD_04.png" /></a>
<br>
Sensor picks message from queue and sends outgoing packets to all sensor in range that aren't in the list. Only sensor with ID=2 matches.
<br><br>
<br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFLucYp415eXXlXYqJm97Ce__qcS2O-lzPo7D6hhTi0Ri-DeJ00uPNxTD1NN__U7B0Sl5cgseqmy9J3cDw0tULOjkZgkDnq2vYS_3dEtc22vzM1e6zy1oz3Lz2q4ZTaXctT6y-0ckqi0Q/s1600/WSD_05.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFLucYp415eXXlXYqJm97Ce__qcS2O-lzPo7D6hhTi0Ri-DeJ00uPNxTD1NN__U7B0Sl5cgseqmy9J3cDw0tULOjkZgkDnq2vYS_3dEtc22vzM1e6zy1oz3Lz2q4ZTaXctT6y-0ckqi0Q/s1600/WSD_05.png" /></a>
<br>
Packet reached its destination. Packet dies and puts its information into message queue of sensor. Sensor adds its ID to the list.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj8cdkh7G_i63QzcMkAPuEphjZtbCvkb3ddO1tY2h7Oy8QxxdLncRL02jOKlRpoI5EGtj4Du27q8rxNBRzwTn9CQ67kvOuMAdJfDErjKFMeHQlvs1P4qECkHViXacIH4wZ1YoHam8X5uqA/s1600/WSD_06.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj8cdkh7G_i63QzcMkAPuEphjZtbCvkb3ddO1tY2h7Oy8QxxdLncRL02jOKlRpoI5EGtj4Du27q8rxNBRzwTn9CQ67kvOuMAdJfDErjKFMeHQlvs1P4qECkHViXacIH4wZ1YoHam8X5uqA/s1600/WSD_06.png" /></a>
<br>
Sensor picks message from queue and sends outgoing packets to all sensor in range that aren't on the list. Sensors with ID=3 and ID=6 match. Sensor with ID=1 is in range but its ID is on the list so the sensor doesn't send packet to it.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFEeSedhWD3XMC28qEcHQD_WdtrMSRKLUiSo3adO9iUJmKZh3snKtch3coev0OLU5-A9P9eM3EL9j3VH71HayfYDsz5oetCIaEzxwT6096u0Dm0RYvb_2XMgGTHGm__2oLJ416eNoYbnk/s1600/WSD_07.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFEeSedhWD3XMC28qEcHQD_WdtrMSRKLUiSo3adO9iUJmKZh3snKtch3coev0OLU5-A9P9eM3EL9j3VH71HayfYDsz5oetCIaEzxwT6096u0Dm0RYvb_2XMgGTHGm__2oLJ416eNoYbnk/s1600/WSD_07.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtzUK30e6dZcvJMnEzVosU_JiuPLLzlWb5HeyH9Pu7wPgvsuHYoGvb94ySVAvi6zQ6WnalDEYXbqskofkuvcFk9T54eQo68kn5GpON3xQPJyr0uRjWa1VZeeSKyVOfq3oc-VghPCSryRg/s1600/WSD_08.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtzUK30e6dZcvJMnEzVosU_JiuPLLzlWb5HeyH9Pu7wPgvsuHYoGvb94ySVAvi6zQ6WnalDEYXbqskofkuvcFk9T54eQo68kn5GpON3xQPJyr0uRjWa1VZeeSKyVOfq3oc-VghPCSryRg/s1600/WSD_08.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjCQxcELUDd6XFsU-PO1glMyhqGNhLZsM3D70Ma0kq0XgXWvSi6h_Fi3yWd2RUxZmd4QCZzLH2cY3w88rEW8UTiGkk_ImsgaDP-Cx8DgB2GJaQypQzTRG1-Yi1rSTSJLmhpGBOeIUMGYgo/s1600/WSD_09.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjCQxcELUDd6XFsU-PO1glMyhqGNhLZsM3D70Ma0kq0XgXWvSi6h_Fi3yWd2RUxZmd4QCZzLH2cY3w88rEW8UTiGkk_ImsgaDP-Cx8DgB2GJaQypQzTRG1-Yi1rSTSJLmhpGBOeIUMGYgo/s1600/WSD_09.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjE-MTyyT0AonuK5k4NUIaln3rd8QISyrchR1Nep6VmnOb7EOX_uYgHKZNjLdl74ZpVtileSyD8VmmFtiwr9y8JJdbDGK4irtRTzY7iMl3Tiy6v297RAFn7oDySIvR33WMJEMTr7eIy8WQ/s1600/WSD_10.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjE-MTyyT0AonuK5k4NUIaln3rd8QISyrchR1Nep6VmnOb7EOX_uYgHKZNjLdl74ZpVtileSyD8VmmFtiwr9y8JJdbDGK4irtRTzY7iMl3Tiy6v297RAFn7oDySIvR33WMJEMTr7eIy8WQ/s1600/WSD_10.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNK_VE1o8iak3WRiTo_7FrYk9_-CMzMEyY482IWYS9wyfJExgEsdKm_Xmdlbj1mM7WqmrDaQDzWWQ9v0-X5YbUZQM1GjIt3o8AhVHKdFQQz6vHVHTWGdL180EU92YSqGZC71Mx5-VOEaQ/s1600/WSD_11.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNK_VE1o8iak3WRiTo_7FrYk9_-CMzMEyY482IWYS9wyfJExgEsdKm_Xmdlbj1mM7WqmrDaQDzWWQ9v0-X5YbUZQM1GjIt3o8AhVHKdFQQz6vHVHTWGdL180EU92YSqGZC71Mx5-VOEaQ/s1600/WSD_11.png" /></a>
<br>
Packet reached its destination and it was the searched classroom. Information in the list marks that upon getting the message from the list sensor is going to send gather packet instead of outgoing packet.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkwETUuCGuXC_RJsjxB6bwUT9yBhqUqpT7SK4dy4DQErrWXcGfklDV-kO805z4_OqZZXNlzPb8CglNwZ99vL_ZHfObUhSP2bXv5n4KWQqbRX9AIQr67yMdGrKYSkQ0pNy4KnZkDy7qYc8/s1600/WSD_12.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkwETUuCGuXC_RJsjxB6bwUT9yBhqUqpT7SK4dy4DQErrWXcGfklDV-kO805z4_OqZZXNlzPb8CglNwZ99vL_ZHfObUhSP2bXv5n4KWQqbRX9AIQr67yMdGrKYSkQ0pNy4KnZkDy7qYc8/s1600/WSD_12.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgBitZruW7EMbIGJl99sf5tNCi7KSasb2FfXvEIYyg1hJ-bx6UQBWxeerKYKf3GpVY7ATkpicsDTOBqGdirMHASFHKIJEFHRzXWYW8TlYXbUGCIbK_1ia-m6a-KqYwQ2xFiRQwYKT8vrNU/s1600/WSD_13.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgBitZruW7EMbIGJl99sf5tNCi7KSasb2FfXvEIYyg1hJ-bx6UQBWxeerKYKf3GpVY7ATkpicsDTOBqGdirMHASFHKIJEFHRzXWYW8TlYXbUGCIbK_1ia-m6a-KqYwQ2xFiRQwYKT8vrNU/s1600/WSD_13.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJ4n5mu7riYbiiLoE5x_fKW1LoimiwmFjidY9yTwm4gko6SrhVAvJZS4ybbHyvI4RQpn4BG8kLMc0_KH2cCSlnYTxInMViu2qrIBkFGWWXdJEk4rTVxhvvroe2Gy-lnzBw3iPzXmew4OY/s1600/WSD_14.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJ4n5mu7riYbiiLoE5x_fKW1LoimiwmFjidY9yTwm4gko6SrhVAvJZS4ybbHyvI4RQpn4BG8kLMc0_KH2cCSlnYTxInMViu2qrIBkFGWWXdJEk4rTVxhvvroe2Gy-lnzBw3iPzXmew4OY/s1600/WSD_14.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh2Pr2AOpRnMb392WsVIjcKlu7JLLJHt_mDiMDD-5GrDAxOj1XEqRE7jtvodhQon14Fqn4CM-tlYyjXiM0ho2xpEGdh_KdSUMblwFjJqTTIpQkmUdCsNHrSqhVO3a-JJ-tAueNgfgkmg7I/s1600/WSD_15.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh2Pr2AOpRnMb392WsVIjcKlu7JLLJHt_mDiMDD-5GrDAxOj1XEqRE7jtvodhQon14Fqn4CM-tlYyjXiM0ho2xpEGdh_KdSUMblwFjJqTTIpQkmUdCsNHrSqhVO3a-JJ-tAueNgfgkmg7I/s1600/WSD_15.png" /></a>
<br>
Packet reached its destination. Packet dies and puts its information into message queue of sensor. Sensor adds its ID to the list. Upon receiving message from queue sensor won't be able to send outgoing packet to any of the neighbours. This way outgoing packets who went the bad way die off.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiMtkUDWsALmyUACslxA1bz2pz6oismMMhHT42lu-0LdwO3enggbkUVDxtxGgsqR3_qfPMbGtxA6UM6xlTUeidg_GFkUAQo3NaE5J76qxo9lZ50K_YYceLkGeH-oXDmvCarJM05IkhU_pI/s1600/WSD_16.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiMtkUDWsALmyUACslxA1bz2pz6oismMMhHT42lu-0LdwO3enggbkUVDxtxGgsqR3_qfPMbGtxA6UM6xlTUeidg_GFkUAQo3NaE5J76qxo9lZ50K_YYceLkGeH-oXDmvCarJM05IkhU_pI/s1600/WSD_16.png" /></a>
<br>
Sensor picks message from queue. Message contains information that it should be gathering packet. Since its creation of gathering packet the list is copied. First list is used to return to the human who send the request. Second list (copy) keeps the path from human to the searched classroom. Sensor picks sensor ID as last element from the list and sends gathering packet toward that sensor.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMLDjA7EU2M92SL43tiv52k47kca73EiUmWohB_MVIDj1EGNTNr_ITQh8X1q2hfGWi91ZEIBy-T64AMU_ITaeyy2U75jiMDtFol4EriVt2o-ce74V-AJteUpmWs_1Y1XwRTtN1ymfNkTA/s1600/WSD_17.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMLDjA7EU2M92SL43tiv52k47kca73EiUmWohB_MVIDj1EGNTNr_ITQh8X1q2hfGWi91ZEIBy-T64AMU_ITaeyy2U75jiMDtFol4EriVt2o-ce74V-AJteUpmWs_1Y1XwRTtN1ymfNkTA/s1600/WSD_17.png" /></a>
<br>
Gather packet reached its destination. Packet dies and puts its information into message queue of sensor. Sensor removes last element.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhK0_peUgGID6s0NzU0v25AciI-fZT1Qh0U34PcOGIx-bmvOxvojdbNYqiguMuPoy-LXkFH6PUxkLxIVm2a9pRXeEZwgtSGMbKeGN5onSL_Ahn4hBHQ3FaZA2lJe_cItjm8vqOcwp_W7BM/s1600/WSD_18.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhK0_peUgGID6s0NzU0v25AciI-fZT1Qh0U34PcOGIx-bmvOxvojdbNYqiguMuPoy-LXkFH6PUxkLxIVm2a9pRXeEZwgtSGMbKeGN5onSL_Ahn4hBHQ3FaZA2lJe_cItjm8vqOcwp_W7BM/s1600/WSD_18.png" /></a>
<br>
Sensor picks message from queue. Message contains information that it should be gathering packet. Sensor picks sensor ID as last element from the list and sends gathering packet toward that sensor.
<br><br>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgj43hjITSdJnLJ9xEPCWhBsa_MOm5w2x7BMPswZRslG5xqnqrmohsm_T9D-OWqwUCs9Woxnr7xPvzRDrWAu3_06hvRVpGwTbywu5C4GuBLfJMay-fpZB3xguIha07tUFmEtuuEX2frSQs/s1600/WSD_19.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgj43hjITSdJnLJ9xEPCWhBsa_MOm5w2x7BMPswZRslG5xqnqrmohsm_T9D-OWqwUCs9Woxnr7xPvzRDrWAu3_06hvRVpGwTbywu5C4GuBLfJMay-fpZB3xguIha07tUFmEtuuEX2frSQs/s1600/WSD_19.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtvdFYfirds2fN0NZrvg1gxe0zCXMshXs-NFD7fYdhp_mg9b9XWQw_h7-lWlNo_NHuKvuPlbJ7uIPlqkTiNwBxvXTwomWEQowRZgYz-D0fWCj_nIaTpmhgwvfU32mc0bEdvIhv0oEppJw/s1600/WSD_20.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtvdFYfirds2fN0NZrvg1gxe0zCXMshXs-NFD7fYdhp_mg9b9XWQw_h7-lWlNo_NHuKvuPlbJ7uIPlqkTiNwBxvXTwomWEQowRZgYz-D0fWCj_nIaTpmhgwvfU32mc0bEdvIhv0oEppJw/s1600/WSD_20.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiEWtZMYILtu47O-03QzxEAetxKxA7ranXZwstBohxVO8efB7teTVL1rYAGGkwryXeXR57GXJUspVqJXuYmnPkun0Y2VglthnMcnyAosNOvqp1ZIWuPW6wIX9SD00Gje7YC9vNgZVNH4mM/s1600/WSD_21.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiEWtZMYILtu47O-03QzxEAetxKxA7ranXZwstBohxVO8efB7teTVL1rYAGGkwryXeXR57GXJUspVqJXuYmnPkun0Y2VglthnMcnyAosNOvqp1ZIWuPW6wIX9SD00Gje7YC9vNgZVNH4mM/s1600/WSD_21.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIbFOVDm_dbUU_iqnjtiO-dLLC0gicI3DEexaqTQIh4kGMjwm2zkj_ZRUtkkMM13zV5AABqmztUf4EYuIclH7guLrjPJGVjKT5xToEc_A3sSsrWQOP367iAJxTSE66Me-UWp_nrXCkvpU/s1600/WSD_22.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIbFOVDm_dbUU_iqnjtiO-dLLC0gicI3DEexaqTQIh4kGMjwm2zkj_ZRUtkkMM13zV5AABqmztUf4EYuIclH7guLrjPJGVjKT5xToEc_A3sSsrWQOP367iAJxTSE66Me-UWp_nrXCkvpU/s1600/WSD_22.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmNrOVzm8bIiBXfLnLEUo98ix-J-dy2yOawQeld89pPo8Kmmn_fkEg_Cf8TJzA5cDZmF_OBHQ48Saa2lr8iz191cpjrsvwzCr_FqCiu-5D1R7IXbWMKQZNlE2-U5UO9h4Ex5t9EyLtuOM/s1600/WSD_23.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmNrOVzm8bIiBXfLnLEUo98ix-J-dy2yOawQeld89pPo8Kmmn_fkEg_Cf8TJzA5cDZmF_OBHQ48Saa2lr8iz191cpjrsvwzCr_FqCiu-5D1R7IXbWMKQZNlE2-U5UO9h4Ex5t9EyLtuOM/s1600/WSD_23.png" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhb9Mw-PiwYSIJbMaSXipYBPPZqBt5uM-vqUT6AcfdWMMISliUVT-wCYIcVazFdkX9U55_cSSsHNkgvuHlYWjyNya3k3OLIwP6kHdx-S8PFNCoyxeck-1csw74ZSATN8YzYNk5ASm_8OaA/s1600/WSD_24.png" imageanchor="1" ><img border="0" class="hello" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhb9Mw-PiwYSIJbMaSXipYBPPZqBt5uM-vqUT6AcfdWMMISliUVT-wCYIcVazFdkX9U55_cSSsHNkgvuHlYWjyNya3k3OLIwP6kHdx-S8PFNCoyxeck-1csw74ZSATN8YzYNk5ASm_8OaA/s1600/WSD_24.png" /></a>
<br>
Sensor picks message from queue. Message contains information that it should be gathering packet. List contains only one element meaning it is supposed to be send to the human and not a sensor. Sensor checks if there is human in range with ID equal to the single element in list. Upon reaching the human gather packet puts a copy of list (path to the searched classroom) into human mobile application.
<br><br>
</div>
<br>
<div class="header1" id="A7">A word of warning</div><br>
The project is working but would be very expensive to implement in real life. It would require a lot of rather complicated sensors (two way communication, adding IDs to the list). It would be much better idea to have sensors that only send out information to the mobile application informing it about current position of a human. Then application using built-in map of the building would be able to find the path to the searched classroom from current location. Due to subject of the course this solution wasn't allowed.
<br><br>
If you have any questions be sure to ask on NG, twitter or in the comments below.
<br><br>
<br>
<div class="tag">
Tags: sensor, multiagent systems, Unity, Unity3D, pathfinding, path-finding</div>
</body>
</html>Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-76200776354410821882016-02-17T10:57:00.000-08:002016-02-19T06:20:11.105-08:00Winter update<html lang="en-US">
<body>
<style>
div.header22 {
font-size:160%;
font-weight:bold;
}
div.header1 {
font-size:120%;
font-weight:bold;
}
img.hello{
max-width:50%;
max-height:50%;
}
</style>
<br>
<div class="header1">
Blog neglected</div>
<br />
The reason why I've neglected this blog for so long is because I was extremely busy with my university projects. Since I'm having a short between-term break I plan to make posts regarding three of the completed projects this term. Posts will be dealing with over-all how-to-do-it without explaining single lines of code as I used to do in the past. Two projects were done in Unity3D, allowing me to cheat my way out of learning new technologies. Third project was done in Haskell so it less visual but working on the task was still fun nevertheless.
<br /><br />
<div class="header1">
Things to come</div>
<br />
1. Path-finding using sensors<br />
<br />
<object data="http://www.youtube.com/embed/yFXdF8JTAHg" height="315" width="420">
</object>
<br /><br />
2. Interactive 2012 Presidential Election financing map
<br /><br />
<object data="http://www.youtube.com/embed/OzuM0j2EB7A" height="315" width="420">
</object>
<br /><br />
3. Creek Puzzle Solver
<br /><br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6eKJwRYg5fA4hF__VNZIIdLmMQYSd7MLQVyH3Skp-0JHE-8ImPeEbD1jGzhosLGE1MEXyonunFLlJ0aetHE78-0mazIR0aXG-JiOWjhTjwSPAoN91NfILYi9k7EpoEjykpe4uyw-6xh8/s1600/ex-creek.png" imageanchor="1"><img class="hello" border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6eKJwRYg5fA4hF__VNZIIdLmMQYSd7MLQVyH3Skp-0JHE-8ImPeEbD1jGzhosLGE1MEXyonunFLlJ0aetHE78-0mazIR0aXG-JiOWjhTjwSPAoN91NfILYi9k7EpoEjykpe4uyw-6xh8/s1600/ex-creek.png" /></a>
<br /><br />
<div class="header1">
No LD34</div>
<br />
Due to lack of time I was forced to give up taking part in LD34. The same goes for Global Gamejam. For both of those events I was 50/50 sure to compete but in the end the outside circumstances forced me to give up on them.
<br /><br />
I did however took the trip to the site of Polyjam (Warsaw edition of GGJ). The topic was ritual. While most interpreted topic as either satanic ritual (human sacrifices/ possessions) or shamanic rituals (Aztecs and company) I was pleasantly surprised to find a game about tea making => nice out-of-the-box thinking.
</body>
</html>Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-31714677768378898752015-10-07T17:11:00.002-07:002015-10-07T17:11:50.473-07:00<h1>
#Stencyl: Turn-based strategy</h1>
<br />
Difficulty: (5/10)<br />
Estimated time of work: 6-8 hours<br />
<br />
<ul>
<li><a href="#A1">Original request</a>
</li>
<li><a href="#A2">Video of finished project</a>
</li>
<li><a href="#A3">Play me</a>
</li>
<li><a href="#A4">Download me</a>
</li>
<li><a href="#A5">Project in bullets</a>
</li>
<li><a href="#A6">Project review</a>
</li>
<li><a href="#A7">Gameflow</a>
</li>
<li><a href="#A8">Building the scene</a>
</li>
<li><a href="#A9">On-click states</a>
</li>
<li><a href="#A10">Battle (Player attack)</a>
</li>
<li><a href="#A11">Battle (Enemy attack)</a>
</li>
<li><a href="#A12">Help</a></li>
</ul>
<br />
<h2 id="A1">
Original request:</h2>
<br />
There was no original request per se. The game was made for Ludum Dare 33. I think that this tutorial is a good starting point for anyone who will be trying to create turn based strategy. Tutorial puts focus on battle itself omitting other things like: buying/selling potions, equipping/customizing player and others.
<br />
<br />
<h2 id="A2">
Video of finished project</h2>
<br />
<iframe height="315" src="http://www.youtube.com/embed/6rusEF6DtTw?autoplay=0" width="420">
</iframe>
<br />
<br />
<h2 id="A3">
Play me</h2>
<br />
You can play finished version on Newgrounds:<br />
<a href="http://www.newgrounds.com/portal/view/662557" target="_blank">http://www.newgrounds.com/portal/view/662557</a><br />
<br />
<h2 id="A4">
Download me</h2>
<br />
You can download finished project from Ludum Dare entry:<br />
<a href="http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=34334" target="_blank">http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=34334</a><br />
<br />
You can download post-LD debugged version here:<br />
<a href="http://wikisend.com/download/342412/Frankenstein_30_09" target="_blank">http://wikisend.com/download/342412/Frankenstein_30_09</a><br />
<br />
<h2 id="A5">
Project in bullets</h2>
<br />
<ul>
<li>Player picks action: attack or potion use.
</li>
<li>There are 3 types of attacks: Normal, Strong, Special.
<br /><br />
Normal attack deals standard damage within +/- 25% range. <br />
Strong attack is like normal attack but it deals 150% damage of what normal attack would deal. Strong attacks has 75% hit chance (25% for missing and dealing 0 damage).<br />
Special attack consumes 15 energy to perform attack. Special attack has 25% to deal double damage otherwise its standard attack.<br />
<br />
</li>
<li>If attack is chosen: player moves toward enemy and once he is close enough he hit them dealing damage based on attack type. After attack player returns to his starting position
If enemy survives he attacks.
</li>
<li>Stats of enemy - health and attack power are based on level picked by player.
</li>
<li>Player and enemy attack each other in one-then-switch fashion until one of them dies. After this happens a pop-up menu appears informing about result of the battle
</li>
<li>On the screen after attack appears text informing how much damage has been dealt, was special successful etc.
</li>
</ul>
<br />
<h2 id="A6">
Project review</h2>
<br />
Project isn't really that difficult but it's rather big. Main problem lies in big number of attributes. As there is a lot of things to be coded this project requires to be kept clean otherwise it will turn into huge mess.
<br />
<br />
<h2 id="A7">
Gameflow</h2>
<br />
<br />
<span class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhSIq6LTvAX2a4IIhCXHWfUhs1MMdtIlgis0phdcgVIWmnI2qogSig2ReOOwh7MKwb_gsDaM7snibGdWCTe5utj-5Oy1KnK87vN6ploaGS-vJFttsGkvQHsIDwOpzqZIO_Us1cGI02ouic/s1600/diagram1.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhSIq6LTvAX2a4IIhCXHWfUhs1MMdtIlgis0phdcgVIWmnI2qogSig2ReOOwh7MKwb_gsDaM7snibGdWCTe5utj-5Oy1KnK87vN6ploaGS-vJFttsGkvQHsIDwOpzqZIO_Us1cGI02ouic/s1600/diagram1.png" /></a></span>
<span style="font-size: 80%;">
Diagram shows a flow of the battle</span>
<br />
<br />
The battle scene was created first so it operates on local attributes. After creating the scene: all buttons, characters etc. battle scene needs to import game attributes into local attributes. Game attributes are set up in map scene. Imported game attributes involve:
<br />
<br />
<ul>
<li>head - type of the head picked for the player
</li>
<li>arm - type of the arm picked for the player
</li>
<li>body - type of the body picked for the player
</li>
<li>potion_health_owned - number of health potions owned
</li>
<li>potion_energy_owned - number of energy potions owned
</li>
<li>potion_attack_owned - number of attack potions owned
</li>
<li>player_energy - maximum energy of player
</li>
<li>level - level currently being played/type of enemy
</li>
<li>player_health - maximum health of player
</li>
<li>player_power - maximum power of player
</li>
</ul>
<br />
With so many attributes it's good to underline the rule of attribute naming. With smaller project you would name attributes naturally for example: <health_potions_owned>. However if you do that while dealing with bigger projects at some point you will find yourself in front of the huge list of attributes and then you will realize you forgot how you named your attribute. <br />
<br />
So instead use something called "reversed notation". This way you will quickly find the attribute you are looking for: <something with potion?> → <potion> → <what potion?> → <potion_health> → Oh! I named it <potion_health_owned>
<br />
<br />
<h2 id="A8">
Building the scene</h2>
<div style="white-space: pre;">
Events:
→ combat_scene_behavior → when_created
→ combat_scene_behavior → scene_set_up
→ combat_scene_behavior → animate
→ combat_scene_behavior → level
→ combat_scene_behavior → enemy
</div>
<br />
Actors in the scene on the start are created in event <scene_set_up>. Second thunder actor, marking enemy energy, can be easily removed from the code. It's leftover from the time when enemies would have used special attacks.<br />
<br />
Parts of player and enemy: head, body, arm, circle after being created are stored as actor attributes.<br />
<br />
<div style="font-size: 100%;">
Next we need to set initial state of boolean attributes and deal with importing information from game attributes into the <combat_scene>.</div>
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM-smL-D9SdAS9ibTi9KbKRiMKq_UkYVtmx_fpD8glyluGImZFtK_lsdAV232734At41RzCLkMlde5dgu7ghij1FQJExicuCWeP6g0JHyGWUZvRvQ6l2M6It8vzGmqGPWe_0dKYAGk9o8/s1600/03.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM-smL-D9SdAS9ibTi9KbKRiMKq_UkYVtmx_fpD8glyluGImZFtK_lsdAV232734At41RzCLkMlde5dgu7ghij1FQJExicuCWeP6g0JHyGWUZvRvQ6l2M6It8vzGmqGPWe_0dKYAGk9o8/s1600/03.png" /></a></div>
<div style="font-size: 80%;">
<when_created> handles scene creation</div>
<br />
Attributes:
<br />
<ul>
<li><in_combat> - out-of-use
</li>
<li><menu_open> - boolean; false; true if there is open menu (choice of attack or potion)
</li>
<li><player_turn> - boolean; true; true if it's player turn, must be true if you try to open action menu
</li>
<li><tips> - text; <empty_text>; displays info about last player's action
</li>
<li><enemy_text> - text; <empty_text>; displays info about last enemy's attack
</li>
</ul>
<br />
Trigger events:
<br />
<ul>
<li><animate> - triggers <animate_2>, give enemy(each body part) proper look based on the <level> game attribute
</li>
<li><level> - animate player, <animate_part> animates actor <temp_actor> based on value of <helper_1> what allows to animate single body part using proper game attribute(head, arm, body). Trigger event <calculate> from behavior <calculate> calculates total health and attack after body parts bonuses. There is a minor mistake in <calculate> event (attack is switched with health) and it's fixed by swapped assignment of combat and health in <level> event.
</li>
<li><enemy> - set player health and damage based on <level> game attribute
</li>
</ul>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9VrhKUWJHC0LvdbwpIjjZDjG2zEoKh8AJ42Do-KFL-iCxkqaP7aUb1OBV7pmfKkSw6oYVcheXlJ4rES8B9DRJNZ3cR8eMIlRYnfUpd6PTvrUb62veUDP2BbWERzbVPeKjX7kUcOly8vA/s1600/level.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9VrhKUWJHC0LvdbwpIjjZDjG2zEoKh8AJ42Do-KFL-iCxkqaP7aUb1OBV7pmfKkSw6oYVcheXlJ4rES8B9DRJNZ3cR8eMIlRYnfUpd6PTvrUb62veUDP2BbWERzbVPeKjX7kUcOly8vA/s1600/level.png" /></a></div>
<div style="font-size: 80%;">
<level> trigger event</div>
<br />
Attributes in <created>:<br />
<ul>
<li>maximum_enemy_damage - maximum damage enemy can deal
</li>
<li>maximum_enemy_damage - maximum damage player can deal
</li>
<li>minimum_enemy_damage - minimum damage enemy can deal
</li>
<li>minimum_player_damage - minimum damage player can deal
</li>
<li>strong_multiplier - how much strong attack is stronger from normal attack; 1.5=150%
</li>
<li>strong_chance - how much chance does strong attack have to be successful; 75=75%
</li>
<li>special_cost - energy cost of special attack
</li>
<li>energy_enemy - local attribute; set to <max_energy_enemy> from <enemy> event
</li>
<li>energy_player - local attribute; set to <max_energy_player> from <level> event
</li>
<li>hp_enemy - local attribute; set to <max_hp_enemy> from <enemy> event
</li>
<li>hp_player - local attribute; set to <max_hp_player> from <level> event
</li>
<li>special_chance - chance that special attack will do double damage instead of standard damage; 25 = 25%
</li>
<li>special_enemy_cost - leftover from the time when enemies were meant to have special attacks
</li>
</ul>
<br />
<h2 id="A9">
On-click states</h2>
<br />
There are two ways how to trigger a on actor click trigger, both are used in the project:
<br />
<ul>
<li><on actor click> event
</li>
<li><on mouse pressed> event + mouse location check
</li>
</ul>
<br>
In order to control a gameflow following attributes are used:
<br />
<ul>
<li>menu_open - boolean; true if menu (attack or potion) is open, prevents from opening menu when one is open, prevents opening menu in the middle of attack
</li>
<li>menu_mode - number; says which menu is open (1=attack, 2=potion, 3=to map, 4=win/lose)
</li>
<li>playerturn - boolean; true if it's player's turn. False during enemy's turn, prevents from opening action menu during enemy's turn.
</li>
</ul>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgPLQbQxRUJT6xxDyMF-dQ4e4MMxqj7QdI1Pd9aJFMKedz0JjDde0DtmaM3yuQ2mlIX7j-S9IB9sWudsS2-O2syd32R0-FOyRWLo3ngdB_RNCrDGBCW_6bi3yU8Jqu7p5Uf6RarfCNQnkI/s1600/Diagram2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgPLQbQxRUJT6xxDyMF-dQ4e4MMxqj7QdI1Pd9aJFMKedz0JjDde0DtmaM3yuQ2mlIX7j-S9IB9sWudsS2-O2syd32R0-FOyRWLo3ngdB_RNCrDGBCW_6bi3yU8Jqu7p5Uf6RarfCNQnkI/s1600/Diagram2.png" /></a></div>
<div style="font-size: 80%;">
Gameflow as seen through mouse clicks</div>
<div style="white-space: pre;">
Events:
→ combat_scene_behavior → when_the_mouse_is_pressed
→ combat_scene_behavior → open_potions
→ combat_scene_behavior → open_attack
→ combat_scene_behavior → clean_up
→ combat_scene_behavior → menu_open
→ button_behavior → animate_me
</div>
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhWyq59bKTKujAeMRIKSDsWBIBC0bT4pNnX6d6mRK4nWmI1ENSYruV1CdsRIZfqlEW3nLEMooOwqMu7K7aj6cQQYRUvir53z2zdig-HMsDP2rXOElm7dxcQX0dr1tPIuGSiR7fdQxJ_TAI/s1600/05.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhWyq59bKTKujAeMRIKSDsWBIBC0bT4pNnX6d6mRK4nWmI1ENSYruV1CdsRIZfqlEW3nLEMooOwqMu7K7aj6cQQYRUvir53z2zdig-HMsDP2rXOElm7dxcQX0dr1tPIuGSiR7fdQxJ_TAI/s1600/05.png" /></a></div>
<div style="font-size: 80%;">
Opening attack or potion menu;</div>
<br />
Creating menu is triggered by clicking on screen and if player clicked on one of the buttons (attack,item or to map) a proper menu pops up. <when_the_mouse_is_pressed> handles that. <br />
<br />
In case of clicking attack or item button an event is triggered <open_attack> or <open_potions>. Each of these events sets up <menu_open> (1 for attack and 2 for item) and then triggers <menu_open>. <menu_open> creates 4 buttons: 3 action buttons + cancel. Button actors are saved in <menu_list>. <menu_open> while creating buttons sets <number> for them so that the actor knows which button is he then triggers <animate_me> which sets up animation for actor based on <menu_mode> and <number>. Menu can only be created when there is no other menu on the screen so there is <menu_open> check in <open_attack> and <open_potions>. Menu can be only created during player's turn so there is additional <playerturn> check.<br />
<br />
If player were to pick <to_map> button a proper pop-up would be created and <menu_mode> would be set to 3.<br />
<br />
<to_map> menu as it's simple is handled by <combat_scene_behavior> in <when_the_mouse_is_pressed>. For potion and attack game uses <is_pressed_on_self> to move on with game logic.<br />
<br />
Cancel button is important. Firstly because it allows player to change his mind. What is even more important that without it game can get stuck. This would happen if player picked potion option and had none to be used. If player pressed the cancel button <clean_up> triggers killing all buttons located in <menu_list>. Then <menu_open> is set to true meaning is it's ok for player to open menu since cancel button closed last one. <br />
<br>
<h2 id="A10">
Battle (Player attack)</h2>
<div style="white-space: pre;">
Events:
→ button_behavior → is_pressed_on_self
→ puppet_behavior → attack
→ puppet_behavior → deal_damage
</div>
<br />
Let's say we have attack/potion buttons open and we click on one of them. This triggers <is_pressed_on_self> of <button_behavior>. In case of attack we send information which attack has been chosen to <puppet_behavior> by setting up <number> attribute. If special attack was chosen we need to check if player has enough energy to perform special attack. For all types of attacks if everything went ok <is_pressed_on_self> triggers <attack> of <puppet_behavior> which handles player's attack. <clean_up> is triggered as well to kill menu actors.<br />
<br />
In case of pressing potion firstly behavior checks if there is potion to be drunk. If yes action associated with potion drinking is performed. Number of potion is decremented since potion has been drunk. Information about successful potion drinking is given to player by setting up <tips> text attribute in <combat_scene_behavior>. Since player took his turn it's time for enemy to attack. This is done by triggering <enemy_turn> in <puppet_behavior>.<br />
<br />
Warning: during writing this post bug has been found. After successfully drinking potion <player_turn> must be switched to false. Otherwise player would be able to open action menu in the middle of enemy attack.<br />
<br />
<br>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgwJC6sMuIV7kZ1NwC0RQTQrrhzdGZnHI5thPPtnD8mGgXHh7JuzPozBUbUXs-C4nNFAN8zOhC_EMhd1WQWRFGEp50OHe5dX31bLgDbtZNEidvmm5If8weEXlWp_tk_FgSp5vnQOwcs7dk/s1600/button_behavior.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgwJC6sMuIV7kZ1NwC0RQTQrrhzdGZnHI5thPPtnD8mGgXHh7JuzPozBUbUXs-C4nNFAN8zOhC_EMhd1WQWRFGEp50OHe5dX31bLgDbtZNEidvmm5If8weEXlWp_tk_FgSp5vnQOwcs7dk/s1600/button_behavior.png" /></a></div>
<div style="font-size: 80%;">
<is_pressed_on_self> with comments and after bug fix</div>
<br />
Player picked one of attacks and <attack> has been triggered. <attack> set <playerturn> to false and prevents player (human playing) from taking any more action until player and then enemy finishes their turns. <attack> triggers <move_player> which handles actual player attack.<br />
<br />
Phases of <move_player>:
<br />
<ul>
<li>Save starting position of body parts
</li>
<li>Rotate arm so it point at the enemy
</li>
<li>Stop rotation
</li>
<li>Move player towards enemy
</li>
<li>Deal damage to enemy and move back
</li>
<li>Reposition player at starting position
</li>
<li>Triggering enemy
</li>
</ul>
<br />
It's important to reposition player at starting position after attack. Otherwise player could be doing "small steps" which could eventually make him walk out of screen. Breaking attack into many phases allows to deal damage as player is close enough to enemy. <br />
<br />
Dealing damage is handled by triggering <deal_damage> event from <move_player>. Based on <attack_mode> attack set previously from <is_pressed_on_self> of attack button <deal_damage> event can decide which attack has been chosen. For normal attack its straightforward: random number between damage minimum and maximum damage is picked as damage. Number of damage is subtracted from enemy health. Text with information how much damage has been dealt is drawn on screen by setting <tips> text attribute in <combat_scene_behavior>. <combat_scene_behavior> behavior handles drawing the text.<br />
<br />
When attack require chance test such as special or strong attack, chance test is first checked. Based on test result (passed or failed) <tips> text is set and proper amount of damage is dealt.<br />
<br />
<h2 id="A11">
Battle (Enemy attack)</h2>
<div style="white-space: pre;">
Events:
→ puppet_behavior → enemy_turn
→ puppet_behavior → to_map
→ puppet_behavior → reward
→ puppet_behavior → move_enemy
→ puppet_behavior → deal_damage_enemy
→ puppet_behavior → end_of_turn
</div>
<br />
Last phase in player attack is triggering <enemy_turn> which handles enemy_attack.<br />
First enemy checks if it is alive. If enemy is dead <to_map> triggers with <win> equal 1. <to_map> creates end of battle menu and uses <win> to animate it ether as won or lost battle menu. If the battle has been won <max_level> can be updated. Game attribute <max_level> keeps as number biggest number of level that has been completed. <max_level> shouldn't be updated if player has finished already finished level. Winning level triggers <reward> event which updates <money> game attribute based on what level player has completed.<br />
<br />
If enemy is still alive after player's attack <move_enemy> triggers handling enemy's attack. Logic of moving is the same as for player but different actors are moving (enemy body parts instead of player). Instead of <deal_damage> enemy triggers <deal_damage_enemy> which works as player's normal attack. <deal_damage_enemy> updates <enemy_text> text attribute which informs player about how much damage enemy has dealt. <move_enemy> ends with triggering <end_of_turn>.<br />
<br />
<end_of_turn> checks if player is alive after enemy's attack. If player is dead <to_map> triggers with <win> equal 0 creating a lost battle menu. If player is alive <playerturn> is set to true allowing player to start next turn. Action toolbar switches animation so that attack and item buttons are visible. Information about last turn attacks is removed by setting <tips> and <enemytext> to empty text.
<br />
<br />
<h2 id="A12">
Help </h2>
<br />
My tutorials are intended for people who finished crash course of Stencyl. If any part requires deeper explanation be sure to ask in comments. Remember that there might be other people with similar problems to yours so by asking questions you are not only helping yourself but others as well.<br />
<br />
If I were to ignore you for longer period of time PM on Stencyl forums or newgrounds.<br />
<br />
This post might be a little mess since it's my second one using html and not Google editor. I'm new to html so if you think there might be a word missing in the text be sure to let me know about it.<br />
<br />
If you have any suggestions put them in comments. I will take them into consideration for the future posts.<br>
<br>
<b>Thank you for reading.<b>
<br />
</b></b><br />
<h5>
<b><b>
Tags: Stencyl, Frankenstein, Turn-based, Strategy, RPG, LD33, LudumDare, Ludum, Dare, Monster </b></b></h5>
<b><b>
</b></b>Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-62563603587854347812015-09-09T15:12:00.000-07:002015-09-25T12:38:20.354-07:00<h1>
Ludum Dare 33 </h1>
<br>
<ul>
<li>What is Ludum Dare?</li>
<li>What I love about Ludum Dare?</li>
<li>What I hate about Ludum Dare?</li>
<li>Ludum Dare's survival guide</li>
<li>Ludum Dare 33: how it went</li>
<li>My entry in comments</li>
<li>Other entries</li>
<li>What's next?</li>
</ul>
<br>
<h2> What is Ludum Dare?</h2>
<br>
Ludum Dare is a contest where you are supposed to create game on given theme. There are two version of the contest: Compo and Jam. The contest takes place every 4 months.
<br />
<br />
Compo lasts 48 hours. During Compo you must do all assets yourself - code, graphics, sounds. You must work alone.
<br />
<br />
Jam last 72 hours. During Jam it is allowed to use assets provided by third parties. It is allowed to work as team.
<br />
<br />
Proposed themes must survive the "Slaughter". During "Slaughter" people vote which themes should have a shot at being a theme for current edition. The week before Ludum Dare people vote at the themes that survived "Slaughter". The people favourite becomes the theme.
<br /><br>
<h2>What I love about Ludum Dare</h2>
<br>
Ludum Dare is big. Every edition produces 2500+ games. That's a lot! Probably more than you have friends on Facebook.
<br />
<br />
I always go for Compo contest. These are crazy 48 hours. After the end of it you don't want to turn on PC or any electronic device - you are so fed up with sitting and coding. You are exhausted but at the same time you are happy. Two days before you had nothing and now... you have a game! Ludum Dare proves how much can be done during 48 hours if you are determined enough. The limits you thought you had are not broken, they are smashed to the ground.
<br />
<br />
On the side I am really curious how people survive jam(72 hours) if I am literally destroyed after compo (48 hours). I guess the pace must be a little slower and using done assets must be helpful as well.
<br /><br>
<h2>What I hate about Ludum Dare? </h2>
<br>
<ul>
<li>No honest opinion</li>
<li> Graphic over code</li>
<li> No reply</li>
</ul>
<br>
<b>No honest opinion</b>
<br />
<br />
I never do good at LD. It's ok, no hard feelings. Regardless of the results there is something I really dislike about LD. I hate that everybody comments the games the same way: "good game". Nobody will say "your game sucks". If it does suck just say so. No constructive criticism. Just game developers "jerking off" to each others creations. After judging time the notes comes back and it turns out your game is nowhere near being a "good game".
<br />
<br />
<b>Graphic over code</b>
<br />
<br />
Other thing that makes me go insane are standards of people judging LudumDare entries. For me the small web based games are about two things: idea and gameplay.
<br />
<br />
Gameplay:<br />
If gameplay is good, if the game gives you fun it doesn't matter that it looks bad. It's ok because you receive that undefined happiness. The happiness that you felt playing tetris or mario for the first time. You don't know why is it fun - it just is.
<br />
<br />
Idea:<br />
Most of guys competing in Ludum Dare won't be able to make games for living. They won't be able to spend big money on their games. As a consequence of that they won't be able to hire professional artists or composers to work on their game. Therefore there are bound to lose against serious game developers. So if you can't out-force your competition you need to out-smart it. Introduce a great idea. Implement a mechanic that will make people go "wow". Show that games can be more than endless pile of FPSs, RTSs and RPGs.
<br />
<br />
The problem for me is that during LudumDare community tends to give too much attention to art. You can have great game but still with weak art you are going nowhere. Make a simple game with reused idea but with above-average graphics and community will shit rainbow. The worst of the worst for me is when creators use pixel art. People will rate it high not because the art itself is good but for the sake of "pixel-art" alone.
<br />
<br />
The other aspect is how much impact the art and coding have on a game. You mess up a piece of art people probably won't notice. Mess up a piece of code and your game doesn't work. Were it to happen next twenty comments you will be receiving are hateful messages that "your game isn't working". So yes I believe that coding deserve more recognition than art. On the other hand why should I even try to do something bigger and better if I can get better result with smaller risk just by investing in better art?
<br />
<br />
<b>No reply</b>
<br />
<br />
Comments under your entry are for me as important as final results. Sometimes somebody gives you a longer review than "good game". Even if you disagree with some of the opinion in the review there's no reply option. It may seem as little or no pain but from developer's point of view it's important to prove to the public why you did things the way you did or why you disagree with someone's opinion.
<br />
<br>
<h2> Ludum Dare's survival guide</h2>
<br>
<ol type="1">
<li> Everything during LD is limited by time. <br /><br />
You must be aware that once you are done you will feel like a lot of things could have been done better. One rule that you should always keep in mind is NO TIME. No time for good graphic, no time for having a well edited music, no time for epic story-telling. No time, no time is pretty much an anthem for LD.<br />
</li>
<br />
<li> Gameplay first. <br />
<br />
If you have no gameplay, you have no game. Make provisional graphic in form of square, circles and rectangles. Make sure that mechanics work then think about making nice sprites.
<br />
</li>
<br />
<li> Know your tools. <br /><br />
Ludum Dare is no place for learning your tools. Learning new things is generally hard. It's even harder with a time ticking. Learn your tools before LD otherwise you will be doomed.
<br />
</li>
<br />
<li> Quality in screentime.<br /> <br />
If you have created a pretty sprite try to reuse it as much as you can. On the other hand if something will appear only once on the screen during the whole game you don't need to bother with detailed drawing.
<br />
</li>
<br />
<li> Dreams to dust. <br /><br />
As you think about making a game you think big. There will be dragons and mages, there will be crafting, spell casting, dialogues. But then the time starts passing by and you have to say farewell to most of your ideas. So if your concept turns out to be too big to be finished in given time be ready to remove some of the planned contents. Doing this may be sad but again NO TIME. <br />
</li>
<br />
<li> Coding requires thinking.<br /><br />
Once you get tired you will start doing lots of stupid mistakes that require a lot of time to be fixed. If it were to happen stop coding, do some graphic and return to the coding the next day. This pretty much says: coding first everything else later. </li>
</ol>
<br></br>
<h2>
Ludum Dare 33: how it went</h2>
<br>
<b>My entry:</b><br />
<a href="http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=34334">
http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=34334</a><br />
<br />
<b>Preperations:</b><br />
I wanted to make my entry using Unity. I did few tutorials but I haven't done anything on my own in it. As Ludum Dare is not a place to learn something new I decided to use Stencyl instead. I consider this a bitter disappointment.
<br />
<br />
<b>What went right:</b><br />
Definitely time management. I had my game finished and working 5-6 hours before deadline which is great. I think that whole production process was doing really well as well:
<br />
<ul style="list-style-type: circle;">
<li>Day 1 - gameplay mechanics, map graphic, half of character graphics</li>
<li>Day 2 - opening and closing menus (potions, upgrade, dress-up), special attack, second half of character graphics, main title screen, music, Newgrounds achievement</li>
</ul>
<br></br>
I'm quite happy with the result. Looking at other entries I think I'm at top when it comes to the length of code written for the game. It's the first time I have made a turn-based rpg. The fact that during this LD I have done a genre that I had no experience before is really satisfying. At the same time I must say that I had some preparation before Ludum Dare because I had written some basic turn-based rpg in order to solve problem from Stencyl forums. I haven't used any of code from that project but I had still in my mind the idea of how the code for the whole game should be implemented.
<br />
<br />
<b>What went wrong</b><br />
I don't think anything went extremely wrong. Most of these are problems along the way, natural for process of creation.
<br />
<ol type="1">
<li>Create list vs empty list<br /><br />
Stencyl can't empty list that hasn't been created. I have committed this "error" before so finding it wasn't that painful but still it's a waste of precious time. I put "error" in brackets because I feel Stencyl should create a new list on its own as variable is declared instead of forcing a users to do it themselves.
</li>
<br />
<li>Werewolf's nose<br /><br />
I'm not an artist but I had really hard time making a good werewolf/dog nose. Despite my squarish graphic.
</li>
<br />
<li>No combat music<br /><br />
There was no problem with sfx as I used like always:
<br /><a href="http://jfxr.frozenfractal.com/#">http://jfxr.frozenfractal.com/#</a>
<br /><br />
Then I was thinking about doing some music for map screen and combat screen. I open my bookmarks and... I don't find the bookmark I was looking for.
<br /><br />
As it later turned out the site I was looking for was:
<br /><a href="http://www.abundant-music.com/">http://www.abundant-music.com/</a>
<br /><br />
In the end I managed to find another random music generator. It was enough for map theme but no good for combat theme. Even if I had access to the site during LD I doubt if I managed to create combat music as I'm lacking in music terminology. Because of this I wouldn't be able to configure seed numbers to generate music I want. Learning what bridge, harmony and bass are is one of the position on to-be-done-before-LD34 list.
</li>
<br />
<li>Mirror image<br /><br />
In my game I had models for arms, heads and bodies of character created for player. I failed to notice that if I wanted to use mirror image for enemies the graphic must have center in the center of image. This forced me to add offset after doing the mirror image => another unnecessary time-waster. </li>
<br />
<li>No rotate around point in Stencyl<br /><br />
I was shocked to find out that such basic function isn't implemented. Since LD doesn't give you time to do things nicely, using math, I made it using "works about right" logic.
</li>
<br />
<li>Given up idea - Special attack<br /><br />
As time was passing by I was forced to give up idea of special attacks. I had this concept that player would have a special attack based on the head they are wearing. So if I was wearing a zombie head I would have a chance to poison enemy, vampire - drain life, werewolf - bleeding/critical damage. The problem itself was not only to implement special attacks but what was even worse I would be forced to mark status of nerfed enemies by adding icons. Another lines of code, another graphic and time is ticking.
<br /><br />
Enemies were supposed to use specials as well. AI of enemies was supposed to be wiser. In plans AI analyzed such things as: if I am able to kill player in this attack using .... type of attack and what's the best way to do it (chance check), how to counter player. The idea of simpler but working approach crossed the chances of smart AI.
</li>
<br />
<li>Gradation of enemy and equipment/body parts <br /><br />
Probably could have been done better as both enemy and equipment gradation was done more random than rational. With enemies there was at least some idea behind it:
<ul>
<li>1st enemy - dead in 2-3 attacks, no threat
</li>
<li>2nd enemy - dead in 4-5 attacks, kinda stronger but still no threat
</li>
<li>3rd enemyh - equal to player from begining of the game
</li>
<li>4+ - just stronger, no deeper thoughts</li>
</ul>
</li>
<br />
<li>Bug found<br /><br />
There was one bug found but it was easy to repair.
</li>
<br />
<li>Stnecyl refused to import music<br /><br />
No idea why. Stnecyl proved to be a picky b*tch in the worst possible moment.
</li>
</ol>
<h2> My entry in comments</h2>
<br>
<b>Biggest complains:</b>
<br />
<ol type="1">
<li>Bad art - I must say I like my art for this game. Squarish characters were intended and I'm satisfied with their looks. Only exception being Scientist which really could have been done better. Probable some animations would be fine such as character blinkings.
</li>
<br />
<li>Make different animations for different attacks - I don't know how it could have been done. I wanted my monsters to look like mechanical puppets and I think I achieved that. Should I make a player uppercut the enemy if the player chose "strong attack"?! - the idea sounds extremely stupid.
</li>
<br />
<li>No combat music - I fully agree with people complaining.
</li>
<br />
<li>No story ending - this was single complain but I fully agree with it. I had a nice storyboard which introduced a protagonist and villian. I should have done similar one for the game ending.
</li>
</ol>
<h2> Other entries</h2>
<br>
Most popular idea among entries involved being a godzilla-style monster and killing something. Fun if you play 2-3 entries but after 10th one it gets boring.<br />
<br />
Some entries wanted to take moral approach but in most cases I don't think they did it good enough.
<br />
<br />
Most common monsters: undeads(zombies, vampires), infected, dragons, godzillas (big monsters), extraterrestrials, demons, killers
<br />
<br />
For best entries after 50 go to:
<br />
<a href="http://ludumdare.com/compo/2015/08/26/you-should-play-this-after-50-games/">http://ludumdare.com/compo/2015/08/26/you-should-play-this-after-50-games/</a>
<br />
<br />
I have played 75 games so at this point I can add these entries to the best-of list:
<br />
<br />
Slasher:
<br />
<a href="http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=8745">http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=8745</a>
<br />
<br />
Lil' Drake
<br />
<a href="http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=18768">http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=18768</a>
<br />
<br />
Eat Sheep & Die
<br />
<a href="http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=40797">http://ludumdare.com/compo/ludum-dare-33/?action=preview&uid=40797</a>
<br />
<br>
<h2> What's next?</h2>
<br>
I will be describing my LudumDare entry because I think it's good starting point for anyone considering doing a turn based combat.
<br />
<br />
I hope to do a non-jam game as I hadn't done anything of sort in a while. As art has always been a source of complain I decided to start learning blender. Regarding the music I know I will need to catch up with music terminology and play around with music generators but I am not sure when I will exactly do it.
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-90540912221975989552015-08-10T18:37:00.001-07:002015-08-10T19:34:52.821-07:00<div class="western" lang="en-GB" style="font-weight: normal;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span style="font-size: large;"><span lang="en-GB">#Stencyl:
Zerg terrain infection</span></span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Part
4: </b></span></span><span style="font-size: small;"><span lang="en-GB"><b><span style="font-size: small;"><span lang="en-GB">Spreading
the infection </span></span></b></span></span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Topics:</b></span></span></span><br />
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Observation
of infection</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Algorithm
of infection spreading</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Implementation
of algorithm</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Infection
over time</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Extras:
counter-infection </span></span><span style="font-size: small;"><span lang="en-GB">algorithm</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Extras:
making infected area more interesting</span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="margin-bottom: 0cm;">
</div>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Behaviors
used in part IV</span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Behavior
Events:</span></span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">infection_behavior
</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">(scene
behavior)</span></span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">infect</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">infection_step</span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
<a> pressed</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
<f> pressed</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">do
every <1> seconds </span></span></span></span></div>
</li>
</ul>
</li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Main
variables:</span></span></span></span></div>
<ul>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-weight: normal;">infection_behavior</span></span></span></span></div>
<ul>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">infected_list
- List; stores as elements infected tiles actors that make edge of
infected area</span></span></span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">temp_list
- List; stores the copy of <infected_list></span></span></span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">checked_tile
- Actor; element of <temp_list></span></span></span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">auto_infect
- Boolean; true if infection should spread over time</span></span></span></span></span></div>
</li>
</ul>
</li>
</ul>
<div lang="en-GB" style="margin-bottom: 0cm;">
<h2 id="tips">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b> </b></span></span></span></h2>
<h2 id="tips">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Observation
of infection spreading</b></span></span></span></h2>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Before
jumping to algorithm itself we need to make some observations about
the infection process</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Only
edge of infected area is able to infect further tiles. There is only
need to track tiles that make edge.</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">After
infecting edge tile becomes a tile inside infected area surrounded from
four sites by infected tiles (since there are no tiles which can
resist the infection).</span></span></span><br />
<br /></div>
</li>
</ul>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEggxS2GLMpj0wZKLnAZAdnjDwYnlBc4AfrpeFxGpF5qxnhdgQ2W5Aly-z3WEgoF01mMaN-t7VFLkUBs7Xf1WulXBcoh-vZoCsAvZQue1qF2puvpOOHfCzvUN6PpIKLUgZoTL1XGHy3Swr4/s1600/01.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEggxS2GLMpj0wZKLnAZAdnjDwYnlBc4AfrpeFxGpF5qxnhdgQ2W5Aly-z3WEgoF01mMaN-t7VFLkUBs7Xf1WulXBcoh-vZoCsAvZQue1qF2puvpOOHfCzvUN6PpIKLUgZoTL1XGHy3Swr4/s1600/01.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Edge
tile(green) infects tiles around it(blue). Right: after infection tile
is surrounded from all sides by infected tiles.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b></b></span></span></span><br />
<h2 id="#algo">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Algorithm
for infection spreading</b></span></span></span></h2>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Algorithm
for infection (single iteration):</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Make
two lists. First list <t</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">emp_list</span></span></span><span style="font-size: small;"><span lang="en-GB">>
stores the currently infected edge tiles(pre infection). Second list
</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><infected_list>
stores the newly </span></span></span><span style="font-size: small;"><span lang="en-GB">infected</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
edge tiles (post infection).</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">For
each tile of </span></span></span><span style="font-size: small;"><span lang="en-GB">current
edge try to infect tiles around it. If you encounter uninfected tile
infect it and add tile to the list of </span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">newly
</span></span></span><span style="font-size: small;"><span lang="en-GB">infected</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
edge tiles</span></span></span><span style="font-size: small;"><span lang="en-GB">.</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Copy
elements from </span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">newly </span></span></span><span style="font-size: small;"><span lang="en-GB">infected</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
edge tiles</span></span></span></span> </span></span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">to </span></span></span></span></span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">currently infected edge tiles</span></span></span></span></span></span>.</span></span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Implementation
of algorithm</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
infection_behavior -> </span></span><span style="font-size: small;"><span lang="en-GB">infection_step</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
infection_behavior -> infect</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
infection_behavior -> animate</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
infection_behavior -> when <a> pressed</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzdSyw2l7awxN4agoM49MYrCOQkREMBHfiYzN1Ww8ongw1BGuhyphenhyphenj_81gOwwWW2V1o-PXi_cuDnHoK29way5jQewcILetIxxg-edJ-Kex1wu-MpjRvlyC62i3PtOPfIy8EDVakFij9sdZI/s1600/02.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzdSyw2l7awxN4agoM49MYrCOQkREMBHfiYzN1Ww8ongw1BGuhyphenhyphenj_81gOwwWW2V1o-PXi_cuDnHoK29way5jQewcILetIxxg-edJ-Kex1wu-MpjRvlyC62i3PtOPfIy8EDVakFij9sdZI/s1600/02.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Trigger
event <infection_step> does a single iteration of infection. It
is called when you press <a>.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">At
first we set pre-infection edge tile list <temp_list> and
post-infection edge tile list <</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">infected_list</span></span></span><span style="font-size: small;"><span lang="en-GB">>.
<</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">infected_list>
is empty at the beginning.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Then
we go through</span></span></span></span><span style="font-size: small;"><span style="font-family: inherit;"> </span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">each tile actor of </span></span></span><span style="font-size: small;"><span lang="en-GB">pre-infection</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
edge tile list. Set that actor's animation to animation of being
surrounded by 4 infected tiles. Send information to <infect>
trigger event that you would like to infect tiles around you. We need
to set <checked_tile> before every <infect> trigger event
because <checked_tile> is changed upon execution of <infect>
trigger event.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><infect>
trigger will determine if tile is infected or uninfected. If it's
uninfected it will infect it - set proper value in matrix
<ground_list> (matrix responsible for keeping status of tile;
<a href="http://t4upl.blogspot.com/2015/08/stencylzerg-terrain-infection-part3.html">Part 3</a>) and add the newly infected tile to </span></span></span><span style="font-size: small;"><span lang="en-GB"><</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">infected_list>.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">After
infection process is done we need to update animation for
post-infection edge tiles based on their surroundings. It is done by
<animate>.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
add event <when <a> pressed> so that we can call manually
single iteration of infection.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Infection
over time</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
infection_behavior -></span> when created</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
infection_behavior -> do every <1> seconds</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
infection_behavior -> when <f> pressed</span></span></span><br />
<br /></div>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Infection
over time is nothing more than calling <infection_step> once
every <some time>. We add <do every <1> seconds> to
achieve it. Since we don't want infection to spread until we tell it
to do so we add <</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">auto_infect>
condition. In when created we set value of <auto_infect> to
false. Value of <auto_infect > can be changed to <true>
upon pressing <f>.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVr1EtLejLZCEr6Gt5vbxgoEgiDevh-w0aO_UR5z0lb4W5FEcYkw3KVFyCrMmQSyJfPDO1w4IOF5DE9ufVs4OhRzNccJp4_W_jQwzbVnMNG8QCYRB7zj3flu24TFJBWks9FynLSKplJS0/s1600/03.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVr1EtLejLZCEr6Gt5vbxgoEgiDevh-w0aO_UR5z0lb4W5FEcYkw3KVFyCrMmQSyJfPDO1w4IOF5DE9ufVs4OhRzNccJp4_W_jQwzbVnMNG8QCYRB7zj3flu24TFJBWks9FynLSKplJS0/s1600/03.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Events
allowing infection over time</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Extras:
counter-infection algorithm</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Sometimes
we want for ground to regain lost ground. For example if the
infecting race lost supply that allowed the infection. The biomass on
the infected tile is dying so neutral ground regains it. The
algorithm for this is very similar to that of infection.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Algorithm
for counter-infection (single iteration):</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Make
two lists. First list <t</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">emp_list</span></span></span><span style="font-size: small;"><span lang="en-GB">>
stores the currently infected edge tiles(pre counter-infection).
Second list </span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><infected_list>
stores the newly </span></span></span><span style="font-size: small;"><span lang="en-GB">infected</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
edge tiles (post </span></span></span><span style="font-size: small;"><span lang="en-GB">counter-infection
</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">infection).</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">For
each tile of </span></span></span><span style="font-size: small;"><span lang="en-GB">current
edge. See if around it there is a tile that has four sides
infected. If yes and it's not in </span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><infected_list>
add it.</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">After
you are done with creating </span></span></span><span style="font-size: small;"><span lang="en-GB">
</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><infected_list>
for each tile of</span></span></span><span style="font-size: small;"><span lang="en-GB">
currently infected edge set it to neutral.</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">C</span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">opy
elements from </span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">newly </span></span></span><span style="font-size: small;"><span lang="en-GB">infected</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
edge tiles</span></span></span></span> </span></span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">to </span></span></span></span></span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">currently infected edge tiles</span></span></span></span></span></span>.</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Animate
the edge tiles based on their surroundings.</span></span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Extras:
making infected area more interesting</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">We
have infected area but once it gets big we will end up with big
boring purple plane. If infected area is big enough we can build some objects
inside infected area. The objects themselves can be build up from
tiles.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">This
will require checking once in a while values in <</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">ground_list</span></span></span><span style="font-size: small;"><span lang="en-GB">>
to answer the question if we have enough infected tiles to build.
Since it's only graphical effect with no influence on gameplay we
don't need to do it often. </span></span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhUFpYg0CrdaxOhnYnPK0uacHZMFGHCHlrz5iCumtWKLndMtnhJ8oa8r3f1W7lIUBqBj122Dcajx2U9OdsoWHDvwKTSd4rXTW6lJjS6JrugVugSdQuBWr7dAmYq1mb22CAwDWldM9MbgD0/s1600/04.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhUFpYg0CrdaxOhnYnPK0uacHZMFGHCHlrz5iCumtWKLndMtnhJ8oa8r3f1W7lIUBqBj122Dcajx2U9OdsoWHDvwKTSd4rXTW6lJjS6JrugVugSdQuBWr7dAmYq1mb22CAwDWldM9MbgD0/s1600/04.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Infected
area with added pools of green goo(sized 3x3) and grouped infected
tiles(2x2).</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">To
choose other part follow the link:</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html</span></span></span></span></a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<br />Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-38882123739068315572015-08-06T11:55:00.003-07:002015-08-06T18:39:43.134-07:00<div class="separator" style="clear: both; text-align: center;">
</div>
<div class="separator" style="clear: both; text-align: center;">
</div>
<div class="separator" style="clear: both; text-align: center;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span style="font-size: large;"><span lang="en-GB">#Stencyl:
Zerg terrain infection</span></span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Part
3: Creating tiles, infecting first tiles</b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Topics:</b></span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Adding
new matrices</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Adding
tiles actors</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Marking
tiles occupied by buildings</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Infecting
tiles around buildings</span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-weight: normal;">Changing
animation </span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB">of
infected tiles</span></span></span></span><span style="font-size: small;"><span lang="en-GB">
</span></span></span>
</div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Extras:
Is it ok to place building using tile logic</span></span></span></div>
</li>
<li><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Extras:
Infect area outside of screen </span></span></span></li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Behaviors
used in part III</span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Behavior
Events:</span></span></span></span></div>
<ul type="circle"></ul>
<ul>
<li> main scene behavior (scene behavior)</li>
<ul type="circle">
<li>when created</li>
</ul>
<li> tile_behavior (actor behavior)</li>
<ul type="circle">
<li>index_declare</li>
</ul>
<li> building_behavior (actor behavior)</li>
<ul type="circle">
<li>placed_on_map</li>
</ul>
<li> matrix_support_behavior (scene behavior)</li>
<ul type="circle">
<li>rectangle_fill_by_index</li>
</ul>
<li> infection_behavior (scene behavior)</li>
<ul type="circle">
<li>infect</li>
<li>animate</li>
<li>animate_me</li>
</ul>
</ul>
<br />
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Main
variables:</span></span></span></span></div>
<ul>
<li> main scene behavior (scene behavior)</li>
<ul type="circle">
<li>tile_list - List; as elements contains tiles actors</li>
<li>tile_size - Number; width/height of tile, often used to translate position in pixels to position in matrix coordinates</li>
</ul>
<li> matrix_behavior (scene behavior)</li>
<ul type="circle">
<li>ground_list - Matrix; contains value which corresponds to status of tile (uninfected, occupied by building, infected)</li>
<li>tile_list - Matrix; contains indexes to list <tile_list> in <main_scene_behavior>, indirectly stores tiles actors</li>
</ul>
<li> tile_behavior (actor behavior)</li>
<ul type="circle">
<li>index - Number; actors knows that he is being stored in list <tile_list> in <main_scene_behavior> as <tile_list[index]></li>
</ul>
<li> infection_behavior (scene behavior)</li>
<ul type="circle">
<li>x - Number; X position in <ground_list> matrix</li>
<li>y - Number; Y position in ground_list matrix</li>
<li>return - Number; status of tile before the infection</li>
<li>infected_list - List; stores as elements infected tiles that make edge of infected area </li>
<li> top, down, left, right - Number; status of neighbouring tile, needed for choice of animation</li>
</ul>
</ul>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b> </b></span></span></span><br />
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Adding
new matrices</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> ->
</span></b></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main_scene_behavior
-> when created</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">We
will need two more matrices: <ground_list> matrix and
<tile_list> matrix.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Values
in <ground_list> matrix will correspond to status of tile</span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"> </span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">0
- tile is uninfected and free</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">1
- tile is occupied by building (we consider them to be infected as
well)</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">2
- tile is infected</span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><tile_list>
matrix will indirectly contain tiles actors. In <tile_list>
matrix as elements there will be indexes pointing to list <tile_list>
of <</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main_scene_behavior>. </span></span></span><span style="font-size: small;"><span lang="en-GB"><tile_list>
of </span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">
</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main_scene_behavior> is the list that will contain tiles actors
themselves. </span></span></span></span>
</div>
</div>
<br />
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">If
you find indirectly placing actors into matrix to be confusing read
section "</span></span></span><span lang="en-GB"><span style="font-weight: normal;">Storing
in matrix something different than numbers" from "Matrix
behavior" post:</span></span><span lang="en-GB"><span style="font-weight: normal;"> </span></span></span><br />
<span style="font-size: x-small;"><a href="http://t4upl.blogspot.com/2015/08/stencylmatrix-behavior-topics-download.html"><span lang="en-GB"><span style="font-weight: normal;">http://t4upl.blogspot.com/2015/08/stencylmatrix-behavior-topics-download.html</span></span></a></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
add matrices in <when created> of </span></span></span></span><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main_scene_behavior></span></span></span></span>. We fill
them both with 0s so that we can use <</span></span></span><span style="font-size: small;"><span lang="en-GB">set_value_by_index</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">>
later on. Size of places in matrices to be filled is equal to number of tiles.</span></span></span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
wrap whole creating of matrices in <do after> because Stencyl
doesn't allow to use trigger events of scene behavior in <when
created> of scene behavior.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Filling
matrix with 0s is required because:</span></span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">It's
good to have some initial state, it makes debugging easier</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><set_value_by_index>
of <matrix_behavior> requires that record exists before it
will set specific value in that record</span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<span style="font-size: small;"><span style="font-size: x-small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiXCJiGPA4Y_M8hiC1gxOiRl1qMIRq7yl_f1APaDi8rT4MQqHLpyVia8GoH6wH7a3_erbCbCD60iIZ7JTRs0S2ifujeur486wQ408X4MJz6jEQzY6BGh_b82QeRUAiGE6WLduxWCfjC7s/s1600/01.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiXCJiGPA4Y_M8hiC1gxOiRl1qMIRq7yl_f1APaDi8rT4MQqHLpyVia8GoH6wH7a3_erbCbCD60iIZ7JTRs0S2ifujeur486wQ408X4MJz6jEQzY6BGh_b82QeRUAiGE6WLduxWCfjC7s/s1600/01.png" /></a></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal;">
<span style="font-size: small;"><span style="font-size: x-small;"><span style="font-size: x-small;"><when
created> of <main_scene_behavior> completed with part of
code adding <tile_list> and <ground_list> matrices.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: x-small;">
</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Adding
tiles actors</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
</span></b></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main_scene_behavior
-> when created</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span>->
tile_behavior -> index_declare</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">In
<when created> we create tile actors so that they cover the
screen. As we create them we add them to list <tile_list> of
<main_scene_behavior>. We let the tile actor know under which
index is he hold in the list by setting <index>.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">The
if statement allows us to go to the next row while creating tile
actors. </span></span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">If
you find placing actors tiles to be confusing read section "</span></span></span><span style="font-size: x-small;"><span style="font-weight: normal;">Creating
a matrix of cards" from "Match game" post:</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/03/stencylmatch-game-difficulty5.html"><span style="font-size: small;"><span style="font-size: x-small;">http://t4upl.blogspot.com/2015/03/stencylmatch-game-difficulty5.html</span></span></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<span style="font-size: x-small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjbYtXmU_km4xp47HwOAbKlbLS2e0oYu3XcswFv3HRZwlqbHRcJhMAO0DqHwa4TEeje-7VzM6Qqy5oOmorI301-UFhVn1Bu02DBQVF7xoKJY9SjSuuonGuVOhQgHpKYyus5gpxkj-w6yus/s1600/02.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjbYtXmU_km4xp47HwOAbKlbLS2e0oYu3XcswFv3HRZwlqbHRcJhMAO0DqHwa4TEeje-7VzM6Qqy5oOmorI301-UFhVn1Bu02DBQVF7xoKJY9SjSuuonGuVOhQgHpKYyus5gpxkj-w6yus/s1600/02.png" /></a></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><span style="font-size: x-small;"><when
created> of <main_scene_behavior> completed with part of
code </span></span><span style="font-size: x-small;">responsible for creating tiles
actors.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: x-small;">
</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">After
adding the tile we force it to update <tile_list > matrix with
its index by triggering <index_declare>.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiuHtFlxU48fM3C2ZQLvHQHf959GSYWKWoZcwqekmzeAaQfDMAk3yNSE-IDW3FtMCLGFctVe2NZP7axQbPaObaZqJizAqApHeOhRYuXYwB2i3Qwc2OnSaqMgsUN-qSH2HSudQwDB24y1MU/s1600/03.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiuHtFlxU48fM3C2ZQLvHQHf959GSYWKWoZcwqekmzeAaQfDMAk3yNSE-IDW3FtMCLGFctVe2NZP7axQbPaObaZqJizAqApHeOhRYuXYwB2i3Qwc2OnSaqMgsUN-qSH2HSudQwDB24y1MU/s1600/03.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Information
about index which holds the tile actor is given to tile so that it
knows it. Since it's the last actor added to the list it's index =
Length of List - 1.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<span style="font-size: small;"><span style="font-size: x-small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-OMDgwnGxw3abM2k23neMOkj80EsYWgMp3R5XIxXyEN22aJJOPOc3_uIsqgx20uWm1sgxAQBX335G2qnH-htwGxdctDcA4_j9uJ5xDY4FqE4j09ToH0j568zqhElPf7fmgBy0V_BD33U/s1600/04.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-OMDgwnGxw3abM2k23neMOkj80EsYWgMp3R5XIxXyEN22aJJOPOc3_uIsqgx20uWm1sgxAQBX335G2qnH-htwGxdctDcA4_j9uJ5xDY4FqE4j09ToH0j568zqhElPf7fmgBy0V_BD33U/s1600/04.png" /></a></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">
</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Tile
actor calculates where he should put information about its index in
the matrix based on it's <X position>, <Y position>,
<tile size>.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"></span></span></div>
<div class="separator" style="clear: both; text-align: center;">
</div>
<div class="separator" style="clear: both; text-align: center;">
<span style="font-size: small;"><span style="font-size: x-small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjKcGqwGBB1ePJPSYJyQj0v4sLZtRzVQ_A2MgF1m3kvDgkCM11KqmIGUxpN09MScqt8CB1wMksGFDGDJnvs1YgoTnnr-wKOem8sqW28bm5s3mGw8LYeMrZVGqx-ZmdisUZ_BEdjQCw4NnY/s1600/05.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjKcGqwGBB1ePJPSYJyQj0v4sLZtRzVQ_A2MgF1m3kvDgkCM11KqmIGUxpN09MScqt8CB1wMksGFDGDJnvs1YgoTnnr-wKOem8sqW28bm5s3mGw8LYeMrZVGqx-ZmdisUZ_BEdjQCw4NnY/s1600/05.png" /></a></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">
</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Tile
actor puts the information into the matrix since it knows everything
it needs to do it.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjADYeYA2YmsXFdZtpcP9SFbKjHY15r_wZ-5SVtgoeHSsKDQiGHMDu089ePunABxaxD8PjCFPCY8dsgAN3UdmWgUUmdmeuLmUA58zqLxxn75skvXILhP9jNBITeoooujkO_qP6vj0x8Tdc/s1600/06.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjADYeYA2YmsXFdZtpcP9SFbKjHY15r_wZ-5SVtgoeHSsKDQiGHMDu089ePunABxaxD8PjCFPCY8dsgAN3UdmWgUUmdmeuLmUA58zqLxxn75skvXILhP9jNBITeoooujkO_qP6vj0x8Tdc/s1600/06.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Trigger
event <index_declare>. </span><span style="font-size: x-small;">Tile actor using
information about its position and <tile_size> learns where to
put its index into the matrix. The tile actor then puts the index
into the matrix.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">
</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Marking
tiles occupied by buildings</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span></span></b></span></span></span>->
building_behavior -> placed_on_map</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span></span></b></span></span></span>->
matrix_support_behavior -> rectangle_fill_by_index</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">After
we placed the building we need to update <ground_list> so that
it will mark the tiles covered by building. We already have a trigger
event that is executed as building is placed called <placed_on_map>.
We add part responsible for matrix update.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">The
added code sends information about corners of the building as matrix
positions to <matrix_support_behavior>. Upon
triggering <rectangle_fill_by_index> information is used to
fill matrix with 1s in rectangle pattern - this way marking in
matrix the tiles covered by building.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWuWMbmRZkgmKWEH-D9sfpzIQVdTNqvLC16gaFB59AbltF84lFM06Ivu60HYzA899IHRjunDX4V4MQMq-C11FzLZ007p_N6wli7SdhPaVsGRaT9fZhVrlYbFsAXls52CAtD9KO7K8izoo/s1600/07.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWuWMbmRZkgmKWEH-D9sfpzIQVdTNqvLC16gaFB59AbltF84lFM06Ivu60HYzA899IHRjunDX4V4MQMq-C11FzLZ007p_N6wli7SdhPaVsGRaT9fZhVrlYbFsAXls52CAtD9KO7K8izoo/s1600/07.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"> Send
information from <placed_on_map> about corners of the building
as matrix coordinates to <matrix_support_behavior> </span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrfD5Jy9QWZTzw1aG9Z_4OqoRZwtcSGeR-PRAfS0hqiI9oVQO6v8GI24eyXGe8eH-DwMSYty-iXMnrUR2qoOvqDJsIosTxIZZLtjFYda-fo8FsfIM6M29jZpidKt-QVatgmVvRVX-oRi0/s1600/08.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrfD5Jy9QWZTzw1aG9Z_4OqoRZwtcSGeR-PRAfS0hqiI9oVQO6v8GI24eyXGe8eH-DwMSYty-iXMnrUR2qoOvqDJsIosTxIZZLtjFYda-fo8FsfIM6M29jZpidKt-QVatgmVvRVX-oRi0/s1600/08.png" /></a><span style="font-size: small;"><span style="font-size: x-small;"> Trigger
event <rectangle_fill_by_index> fills matrix <ground_list>
with 1s in area described by corners.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">
</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Infecting
tiles around buildings</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"> ->
building_behavior -> placed_on_map</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"> ->
infection_behavior -> infect</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">After
placing the building we want to infect tiles around the building. To
do this we add another part to <placed_on_map> trigger event.
We go through each tile covered by the building and if this tile
makes edge of the building it tries to infect one of the tiles around
it (left,right, above, or down of it depending on edge).</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Trying
to infect means sending crucial information (in this case position in
<ground_list> matrix) to infection_behavior which will do
infection upon triggering <infect>.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgEFFZ-D_b3vSYYbemBtyn6UEV6adYuQDLFGDZ9MdaxBReA4UvY-bEC7jN76MOS0aDzJQowOuPlODd_uLKo1NJfbAVTqyYhVHlaNeE1GA2V87q9C3GiWxSPcEedf60B2_ki6i1hkmRBmno/s1600/09.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgEFFZ-D_b3vSYYbemBtyn6UEV6adYuQDLFGDZ9MdaxBReA4UvY-bEC7jN76MOS0aDzJQowOuPlODd_uLKo1NJfbAVTqyYhVHlaNeE1GA2V87q9C3GiWxSPcEedf60B2_ki6i1hkmRBmno/s1600/09.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Building
checks its tiles. If they are edge tiles they try to infect tiles
around it. Back of the arrow shows the source tile on the edge and head of the arrow points the
tile that is being infected.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<br /></div>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJul2PF2_i5b2q5wyTU6ddjIlMD650OnlwTmTAJgHplzxGPdirAalZu48zzfmNtKFaHN02UDZs1mJ9IqPOsw-Phc4Fm8HMnCOluYNf4yVFPAQwmhMoxUYfnOWg50OGpFmA3Jm51WL6XmA/s1600/10.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJul2PF2_i5b2q5wyTU6ddjIlMD650OnlwTmTAJgHplzxGPdirAalZu48zzfmNtKFaHN02UDZs1mJ9IqPOsw-Phc4Fm8HMnCOluYNf4yVFPAQwmhMoxUYfnOWg50OGpFmA3Jm51WL6XmA/s1600/10.png" /></a><span style="font-size: small;"><span style="font-size: x-small;"><placed_on_map>
with added part that checks tiles covered by building in order infect
tiles around it.</span></span><br />
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><placed_on_map>
doesn't infect tiles. It just sends request for tile at <x>,
<y> position in <ground_list> matrix to be infected. The
infection itself is handled by <infect> of <
infection_behavior>.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiUCPly50GMpHUSgIh91nhuWAGz0-zuDtEMBIlx3DL2-g4A5htCvBv8mu0dabA4CQZgQ_-ZiIiHy4sEWWLAU8GC6a0aSymvyzSC4oXiJ8UiC9Xe6GThgXBcroePqGdRJst8piwgt5RJY3Q/s1600/11.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiUCPly50GMpHUSgIh91nhuWAGz0-zuDtEMBIlx3DL2-g4A5htCvBv8mu0dabA4CQZgQ_-ZiIiHy4sEWWLAU8GC6a0aSymvyzSC4oXiJ8UiC9Xe6GThgXBcroePqGdRJst8piwgt5RJY3Q/s1600/11.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><infect>
of < infection_behavior> - trigger event responsible for
handling the infection of tile at <x>, <y> position.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Before
going to infecting tile itself let's make one thing clear: we don't
want to infect tile that's already infected because it doesn't make
sense. The second thing is that we assume that tiles covered by
building are infected. If player doesn't see them it doesn't matter
if they are infected or not so it's ok to assume such thing. </span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">As
first thing we assume that tile we are willing to infect is already
infected (<return>=1). We ask if position of tile we want to
infect is inside boundaries of the map. If the tile position is
outside of the boundaries <return> remain equal to 1 and
nothing happens because later if requires <return> = 0.</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">If
tile position is inside the boundaries of the map we ask what's the
status of the tile by asking the value in <ground_list>. If
it's equal to 0, meaning uninfected, (in code: if <return> = 0)
we proceed with infecting it.</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">We
want to know which index of the list <<span style="font-size: small;"><span lang="en-GB">tile_list>
of <</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main_scene_behavior>
stores the tile actor we are about to infect. We learn it by asking
</span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB"><</span></span></span></span><span style="font-size: small;"><span lang="en-GB">tile_list>
matrix of <</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">matrix_behavior>
what value it holds at <x>, <y> position. Now we can get
newly infected tile actor as element under the index we learned in
</span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB"><</span></span></span></span><span style="font-size: small;"><span lang="en-GB">tile_list>
of <</span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main_scene_behavior>.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
change animation of the newly infected tile actor to <Animation 0>
which is one of the infected tiles animations (fully infected
square). We add newly infected tile actor to <infected_list> -
we will need this list later. Since we have infected the tile we need
to mark the fact that tile has changed status from uninfected to
infected. We do it by setting value in </span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB"><ground_list>
matrix </span></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">at
<x>, <y> position</span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB">
to 1.</span></span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"> </span></span><span style="font-size: small;"><span style="font-size: x-small;">
</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Changing
animation </b></span></span><span style="font-size: small;"><span lang="en-GB"><b><span style="font-size: small;"><span lang="en-GB">of
infected tiles</span></span></b></span></span><span style="font-size: small;"><span lang="en-GB"><b>
</b></span></span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span></span></b></span></span></span>->
infection_behavior -> animate</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span></span></span></b></span></span></span>->
infection_behavior -> animate_me</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">What
we want to do now is add some variety to our infected tiles. We will
do it by changing animation of the tile based on its surrounding.
There are some basic states that tile can have. Once we have basic
states all other can be achieved by rotating the basic states.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwc8W2hSEAC7Wdx0uxV3shUz16mzh-4CdV6GyGdOWCg8GUW6B5JZbanYddP4rty2Jz9oWnIGhtTZEZob1uduzeS6rJZoJ8BeUVbIj81KYrGbiiuxNVr_nktAl-mZod39CrUVENOKT30gs/s1600/12.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="210" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwc8W2hSEAC7Wdx0uxV3shUz16mzh-4CdV6GyGdOWCg8GUW6B5JZbanYddP4rty2Jz9oWnIGhtTZEZob1uduzeS6rJZoJ8BeUVbIj81KYrGbiiuxNVr_nktAl-mZod39CrUVENOKT30gs/s320/12.png" width="320" /></a><br />
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">States
that tile can have based on its surrounding. Brown - uninfected,
purple - infected. </span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">(1)
4 sides uninfected, (2) 1 side infected (3) 2 sides infected on
opposite sites (4) 2 sides infected on neighbouring sites (5) 3
sides infected (6) 4 sides infected</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">For
animating tile actor we will use <<span style="font-size: small;"><span lang="en-GB">animate</span></span>>
from <<span style="font-size: small;"><span lang="en-GB">infection_behavior </span></span>>.</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Side
note: if tile has as its neighbour tile outside of the screen we
assume that this tile out-of-boundaries is infected.</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"> </span><span style="font-size: small;">
</span></div>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgji0DBV3thMxxh03_J0AkxMzotRaLnY65VE1h437LljJ1MyRqlFBiwTEBAwAb1WNR1YPqSnok7YZ8UqOv-ALLz-50SUrv6bpyB93ZpcOwSttWEmbk4rZt4MlGlztmzEHtJ2-UKV7vpkRM/s1600/13.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgji0DBV3thMxxh03_J0AkxMzotRaLnY65VE1h437LljJ1MyRqlFBiwTEBAwAb1WNR1YPqSnok7YZ8UqOv-ALLz-50SUrv6bpyB93ZpcOwSttWEmbk4rZt4MlGlztmzEHtJ2-UKV7vpkRM/s1600/13.png" /></a><span style="font-size: small;"><span style="font-size: x-small;">Trigger
event <animate> from <infection_behavior >.</span></span><br />
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">The
big while at the beginning let us do animation change for each
element of <infected_list>. This means we will perform
following code for each edge tile of infected area.</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">The
neighbourhood of tile is represented by variables
<top>,<down>,<left>,<right>. They are 0 if
neighbouring tile in given direction is uninfected and 1 if it's
infected. There is a variable <sum> which says how many tiles
around current tile are infected. <sum> makes choosing
animation simpler but is not obligatory for solving the problem
itself.</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Once
we have chosen the edge tile we ask if neighbour in chosen direction
is on map. If not we consider it to be infected and set proper
direction variable to 1. At the same time we add 1 to <sum>. If
neighbouring tile is on the map we ask its status by getting value
from <ground_list> of <matrix_ behavior>. The tile is
infected if value in list equals 1(covered by building) or 2(infected
but not covered by building). If statement ( >0) checks both of
the possibilities. If the tile is infected we set proper direction
variable to 1 and we add 1 to <sum>.</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">After
we get all info about status of neighbourhood we trigger <animate_me>
which will set proper animation to the tile based on values of
<top>,<down>,<left>,<right>.</span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWzlyTNQLHn7pIH0HfqdCBOgJce62AO6MQsZtqLbH3fzG4a-Pj2llwFN2A2U8VfYMco9BopKuvG2pen_VA2MgGGpFJsQElD-bjeI0umC1l89RSAn-bNqqrjuA4P1Q-PMqKV1lSCBOo7k8/s1600/14.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWzlyTNQLHn7pIH0HfqdCBOgJce62AO6MQsZtqLbH3fzG4a-Pj2llwFN2A2U8VfYMco9BopKuvG2pen_VA2MgGGpFJsQElD-bjeI0umC1l89RSAn-bNqqrjuA4P1Q-PMqKV1lSCBOo7k8/s1600/14.png" /></a><br />
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Trigger
event <animate_me> uses values of <top>,<down>,<left>,<right>
to set animation to edge infected tile.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Extras:
Is it ok to place building using tile logic</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">In
part II we learned how to place the building. The approach we used
didn't use tiles. This part presents alternative approach to problem
of checking if it's ok to place building using tiles and
<ground_list> matrix.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqbOAQVsyMmK_3gcLUuEj-FmzUjitJoLz0U6N2ru1C44Gb-P3kWc06B6quOY_PUegIQxTNysv4DQ8Q7t5QDCz6z8uc0oTYjKaMDO2p99Af5urxjQKY1KMXAWSMjBJTe9rWUdBa-RXCfTI/s1600/15.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqbOAQVsyMmK_3gcLUuEj-FmzUjitJoLz0U6N2ru1C44Gb-P3kWc06B6quOY_PUegIQxTNysv4DQ8Q7t5QDCz6z8uc0oTYjKaMDO2p99Af5urxjQKY1KMXAWSMjBJTe9rWUdBa-RXCfTI/s1600/15.png" /></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Example
of trying to place building(green frame) over building already on
map. On right it is visible how the <ground_list> matrix looks like as we
try to place the building; 0 - free place, 1- covered by building</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">In
alternative approach we check if in area we are about to place the
building (green) are any occupied places (represent by 1). If yes
that means we can't place building. If no it's ok to place building
and we place it.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Pros:
The approach from part II is ok if our buildings are rectangles or we
can assume that they are more or less of that shape. This generally
works. By using getting values in matrix we can place buildings that
are triangles or other more exotic shapes.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Cons:
As we place building in this approach we will need to associate with
each type of building a shape equivalent in matrix. Both setting the
building and checking if its ok to place are therefore more
difficult. </span></span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Extras:
Infect area outside of screen</b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">We
decided that area outside of screen is considered infected. This is
ok but we can do it better by not assuming anything. All we need to
do is add 2 additional columns and 2 rows to the matrix so that they
can represent tiles outside of screen. This however creates offset
between actor position and its position in matrix what can be
painful to use.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg30OjGCORHScaiJkbbdpDmn0Yj-fF4fBz6XbxfzXF6bX05IUm59d-f5qYL4pQSRqxTS2e6pfP60H7s1BBQUnb5kvhUAKfMNS_hbz0NkIj52DUf6oAVXYH1TQvdE9NFCooKQ_MqI6HqrJo/s1600/16.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg30OjGCORHScaiJkbbdpDmn0Yj-fF4fBz6XbxfzXF6bX05IUm59d-f5qYL4pQSRqxTS2e6pfP60H7s1BBQUnb5kvhUAKfMNS_hbz0NkIj52DUf6oAVXYH1TQvdE9NFCooKQ_MqI6HqrJo/s1600/16.png" /></a><br />
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Left picture
shows map with building placed in top left corner of the map. Middle
- matrix as used in project. Right - matrix with added record to
cover outside of screen, this causes (1,1) offset.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">To
choose other part follow the link:</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html</span></span></span></span></a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"> </span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"> </span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"> </span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<ul><ul type="circle">
</ul>
</ul>
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-50191306579180413622015-08-02T13:08:00.000-07:002015-08-04T14:57:37.948-07:00<div class="western" lang="en-GB" style="font-weight: normal;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span style="font-size: large;"><span lang="en-GB">#Stencyl:
Matrix behavior</span></span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Topics:</b></span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Download</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Behavior's
history</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Matrix
in matrix behavior</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Using
matrix behavior</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">List
of trigger events</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Storing
in matrix something different than numbers</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Implementation
details</span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Download</span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-weight: normal;"><Matrix
behavior> can be downloaded together with <Zerg terrain
infection></span></span></span><span style="font-size: small;"><span lang="en-GB">
</span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-weight: normal;">project:</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html</span></span></span></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Behavior's
history</span></b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">There
are many cases when people need 2D lists or matrix for their project.
Stencyl does not support in any way such problem.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">My
first prototype for matrix behavior was created when I need to make a
map for generating maze.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Generating
maze project:</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/05/maze-generation-part-i.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">http://t4upl.blogspot.com/2015/05/maze-generation-part-i.html </span></span></span></a>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">The
behavior worked but whole set-up was rather chaotic. As I went on
with Zerg terrain infection project I decided to make matrix handling
more coherent.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Zerg
terrain infection project</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html</span></span></span></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">The
behavior still needs some cosmetic upgrades such as more intuitive
arguments names. In current version the behavior is fully functional.
I plan to develop matrix behavior in future in order to make it more
user-friendly. The next version of behavior will come with
presentation in form of Stencyl project. </span></span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">If
you need a function and it hasn't been implemented let me know.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Apparently
there is another 2D list extension but I haven't used it and I doubt
if there is any documentation on how to use it:</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://www.stencyl.com/help/view/lists/"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">http://www.stencyl.com/help/view/lists/</span></span></span></a></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Matrix
in matrix behavior</span></b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Matrix
is 2D list made for storing number and numbers only. It has x and y
direction. Set of entries with the same y and different x is called
record. Matrix is limited in x direction and unlimited in y direction
meaning you can add any number of records you like. Position in both
x and y direction are indexed starting from 0.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhZPg_BRqhAeIx4fdzETqERFBvJNJW0EiEdGzCEBtmpGvBBK-TlFgLZhIcymr0tCuJiNaLb0MofqNJ2MSOyK4HeRKuYRjLcDDejSFJAxy_FFN9njrpv2mEHul2vufceXBuPxfnC0b4RQx8/s1600/01.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhZPg_BRqhAeIx4fdzETqERFBvJNJW0EiEdGzCEBtmpGvBBK-TlFgLZhIcymr0tCuJiNaLb0MofqNJ2MSOyK4HeRKuYRjLcDDejSFJAxy_FFN9njrpv2mEHul2vufceXBuPxfnC0b4RQx8/s1600/01.png" /></a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Picture
of matrix. Red numbers represent single record.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">As
we create matrix we name it. There can't exists two matrix with the
same name - name must be unique. The newly created matrix is the
added to the list of matrices. That means we can refer to matrix
either using its name or using index which holds reference to the
matrix. Most trigger events are available in two options _by_name or
_by_index. Using _by_index is quicker but is less user friendly.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Matrix
knows:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">its
name</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">its
index in list of matrices</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">its
number of records</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">limit
in x-direction</span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-y2IbJjMDV-N_yIop7axwJzLcV53fREL4wO6pcSbLlPpixC1KYL7jdCzQrWJLwp3GoxFJlj0TujMM08yNj7Y7IBXixoZh5wJqR2JU0WI8GpknjvWGLlLDGDYo3j236vOhl2yx1sjZ1Mw/s1600/02.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-y2IbJjMDV-N_yIop7axwJzLcV53fREL4wO6pcSbLlPpixC1KYL7jdCzQrWJLwp3GoxFJlj0TujMM08yNj7Y7IBXixoZh5wJqR2JU0WI8GpknjvWGLlLDGDYo3j236vOhl2yx1sjZ1Mw/s1600/02.png" /></a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Picture shows list of matrices with 3
matrices.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Using
matrix behavior</span></b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Communication
with <Matrix behavior> is based around setting attributes for
<Matrix behavior> using block: <for this scene, set <>
to <> for behavior <Matrix behavior> >. Then we
trigger event according to what we want to do. </span></span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">If
what we did should return something, for example value at (x,y)
position we can get it using block: <for this scene, get <>
from behavior <Matrix behavior> >. </span></span></span>
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">In
<Matrix behavior> there is a special inactive <when created>
event that allows quick copy-paste from <Matrix behavior> to
other behaviors.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">List
of trigger events</span></b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">General
rule is that _by_index triggers don't check if input values makes
sense. They assume you know what you are doing. _by_name triggers
tend to check input values and print proper error to the console if
they find something wrong.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN
- attributes you are ought to change while triggering the event</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">OUT
- attributes you can get after you trigger the event</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">In
<Matrix behavior> the following trigger events has been
implemented:</span></span></span><br />
<br />
</div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">add_list
- create new matrix</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Additional
information:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">You can't trigger
scene events in <when created> events of scene bahavior. You
need to add do after <small time> if you want to use trigger
event in <when created> event of scene bahavior</span></span><span style="font-size: small;"><span lang="en-GB">.</span></span></span></div>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">name - name of
matrix; must be unique</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">size - size of record
in x direction; must be bigger than 0</span></span></span><br />
<br />
</div>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">add_record_by_name
- add record to the matrix with given name</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">name - name of matrix</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_list - list
containing record you want to add</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
</li>
</ul>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">add_record_by_index
- add record to the matrix with index</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">helper_2 - index of
matrix; must be unique</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_list - list
containing record you want to add</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
</li>
</ul>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">get_data_by_name
- returns info(index, number of records, limit in x-direction) about
matrix with given name</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">name - name of matrix</span></span></span></div>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">OUT:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">size - </span></span><span style="font-size: small;"><span lang="en-GB">limit
in x-direction</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">number_of_records -
number of records in the matrix</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">matrix_index - index
of matrix in list of matrices</span></span></span></div>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">get_record_by_index
- returns record from matrix with given index</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_1 - index of
matrix in list of matrices</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_2 - index of
record (index in Y direction)</span></span></span></div>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">OUT:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_list - list
containing a record</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">get_value_by_index
- gets value at (x,y) position from matrix with given index</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_1 - index of
matrix in list of matrices</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_2 - X position</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_3 - Y position</span></span></span></div>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">OUT:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">
</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">output - value at (X,Y) in matrix with given index</span></span></span><br />
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"> </span></span></span></div>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">set_value_by_index
- sets value at (x,y) position from matrix with given index</span></span></span></div>
<ul></ul>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Additional
information:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">It's forbidden to set
value in record that doesn't exist.</span></span></span></div>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_1 - index of
matrix in list of matrices</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_2 - index in x
direction</span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-weight: normal;">input_3
- index in y direction</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span style="font-weight: normal;">input_4
- value to be set</span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
</li>
</ul>
</li>
</ul>
<ul></ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">fill_by_name
- matrix with given name is changed into matrix of <n>
identical records. Each record is filled with the same number.</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Additional
information:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">requires
list_behavior</span></span></span></div>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_1 - number that
should fill matrix</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_2 - number of
records that should fill matrix</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
</li>
</ul>
</li>
</ul>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">print_matrix_names
- prints into console all names of matrices along with their indexes</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">print_matrix
- prints into console matrix with given index </span></span></span>
</div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">IN:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">input_1 - index of
matrix in list of matrices</span></span></span></div>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Storing
in matrix something different than numbers</span></b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Matrix
behavior does not allow to put into matrix something else than
numbers. In order to store in matrix other type than numbers we need
to do it indirectly. We create additional list with objects of type
we want and in matrix we keep indexes to the objects.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiyNNe6fx-_o6yYptBhMC8L34Ul2SEDH0EjS0DI7ubEI6GLavWKdXf4sBwDxiH0DA41gLQT0MhEfOAHMZ_w4Sx7D-7midkyBWbFa6_lSBmcgXgSINqRJ_R19hVmXBSmi9AcxDcpwUJLSf8/s1600/03.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiyNNe6fx-_o6yYptBhMC8L34Ul2SEDH0EjS0DI7ubEI6GLavWKdXf4sBwDxiH0DA41gLQT0MhEfOAHMZ_w4Sx7D-7midkyBWbFa6_lSBmcgXgSINqRJ_R19hVmXBSmi9AcxDcpwUJLSf8/s1600/03.png" /></a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Picture shows indirectly placing objects of
chosen type into matrix.</span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Implementation
details</span></b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">In reality <Matrix
behavior> keeps matrices as lists. X and Y coordinates of matrix
are translated to index of list using limit in x direction. If X and
Y are coordinates then index [i] in list is calculate as:</span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">[i] = Y * <limit in x
direction> + X</span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgZyT6NYIqDLH7tdrC5hDz6EwL75_syhhdI5hkNFoUIqWf1rSBvk-z9kdsB_WD9Wfv2DpZ6jPftctdnKTMbsUrjUDMwnUzkOoQOjk0nS2MgNHDBjBDCDGlyF-QjirqjV642Nug_4QOgMdw/s1600/04.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgZyT6NYIqDLH7tdrC5hDz6EwL75_syhhdI5hkNFoUIqWf1rSBvk-z9kdsB_WD9Wfv2DpZ6jPftctdnKTMbsUrjUDMwnUzkOoQOjk0nS2MgNHDBjBDCDGlyF-QjirqjV642Nug_4QOgMdw/s1600/04.png" /></a></div>
<span style="font-size: small;"><span style="font-size: x-small;">Matrix as in matrix behavior and matrix as
list.</span></span>
<br />
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Matrices are stored in
list called <ultra_list>. Attributes of matrix under index [i]
in <ultra list> are stored as elements [i] in lists:</span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">name
- <name_of_lists></span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">number
of records - <number_of_rows></span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">limit
in x-direction - <size_of_list></span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><Matrix behavior>
uses one local trigger event <find_list>. <find_list>
searches for matrix with <name> in list <name_of_lists>
and returns index of matrix in <ultra_list> as helper_2. If
matrix with given name doesn't exist helper_2 is returned as -1.</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-13683773839810215072015-07-30T15:15:00.001-07:002015-08-06T18:41:32.156-07:00<div class="western" lang="en-GB" style="font-weight: normal;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span style="font-size: large;"><span lang="en-GB">#Stencyl:
Zerg terrain infection</span></span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span lang="en-GB" style="font-size: small;"><b><span lang="en-GB">Part
2: Checking if it's ok to place building and dealing with effects of
placing new building</span></b></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br />
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Topics:</b></span></span></span></div>
<ul>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Algorithm
for placing buildings</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Adding
new matrix</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Checking
if it's ok to place building</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Effects
of placing building</span></span></span></div>
</li>
</ul>
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Behaviors
used in part II</span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Behavior:</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main
scene behavior (scene behavior)</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
created</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">trigger
event <building_check> </span></span></span></span>
</div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
mouse pressed</span></span></span></span></div>
</li>
</ul>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">building
behavior (actor behavior attached to buildings actors)</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">trigger
event <placed_on_map></span></span></span></span></div>
</li>
</ul>
</li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Main
variables:</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main
scene behavior (scene behavior)</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">building_check
- Boolean; true if it's ok to place building</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">building_list
- Matrix; contains as records x,y, x+width, y+ height of buildings
actors already placed on map</span></span></span></span></div>
</li>
</ul>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span lang="en-GB">building
behavior</span><span style="font-weight: normal;"> </span></span></span></span><br />
<ul>
<li><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">matrix_index
- Number; index of <building_list> matrix</span></span></span></span></li>
<li><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">number_of_rows
- Number; number of rows in <building_list> matrix</span></span></span></span></li>
</ul>
</div>
</li>
</ul>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span lang="en-GB" style="font-size: small;"><b><span lang="en-GB">Algorithm
for placing buildings</span></b></span></div>
<ul>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">In
<building_list> matrix we store as records coordinates of
buildings already placed on map</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
have already picked the building we want to place and we are trying
to place it</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
go through each record of <building_list> matrix comparing
position of picked building with data from record to see if picked
building is trying to place itself on place occupied by another
building already on map.</span></span></span></span></div>
</li>
<li><div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">If
there is free place we place building on map and add its coordinates
to the matrix as new record. Otherwise we play beep sound and mark
that tasting for placing building was failed.</span></span></span></span></div>
</li>
</ul>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Adding
new matrix</span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">->
when created</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">In
<when created> we add <building_list> matrix.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
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<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6OGxFFMzUmhQXBojBVDDiZ9jDLyKGVPPEfADFabVhEOGsvUuyGknhup3AXokfpW9wosxaIfWDZC31ruuMjRJdth3h6C29l0c31mn9cBmHcO-gGdw946f2KbP777_118I_GtUJnn7M22Q/s1600/01.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><br /></a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Checking
if it's ok to place building</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"> ->
trigger event <building_check> </span></span></span></span>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
assume at first that's it's going to be ok and set <building_check>
to <true>. Next thing we want to do is to see if building we
are about to place won't interfere with buildings already on map. To
do this we will go through each record of <building_list>
matrix.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Firstly
we need to know how many records are there in the matrix. We learn it
by triggering <get_data>. This gives us information about
number of rows and index of <building_list> matrix.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Then
we go record by record searching for something that would tell us
it's not ok to place building. If we find something like this we play
beep sound and set <building_check> to <false>.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Helper_list_1:</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">#0 -
x of building actor already on map</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">#1 -
y of building actor already on map</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">#2 -
x + width of building actor already on map</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">#3 -
y + height of building actor already on map</span></span></span></span></div>
</li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
doing this with 2 checks: <First check> and <Second check>.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
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<br /></div>
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<br /></div>
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<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">4
picture represent that all it takes for placing building to be wrong
is if one of the building points is inside of the area of building
already on map. This is checked by <First check>. </span></span>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
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<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">(Picture has been zoomed) The smaller building (red) is already on
map. The bigger one (green) is about to be placed. Placing bigger
building like this illegal because it would squash the smaller one.
This Picture represents why <First check> is not enough.</span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><First check> checks if one of the
points of building being placed is between points of already placed
buildings. <Second check> checks if one of the points of
already placed building is between points of building being placed.</span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Effects
of placing building</span></b></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> ->
</span></b></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
mouse pressed</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"> ->
trigger event <placed_on_map></span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">In
Part I of the tutorial we placed the building. Now we need to add
record with coordinates of the placed building so that in future we
may check if building we are about to place doesn't overlap building
already on map.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">After
creating building in <when mouse pressed> we trigger event
<placed_on_map> for placed building in behaior <building
behavior</span><span lang="en-GB"> >.</span></span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<div class="separator" style="clear: both; text-align: center;">
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<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<div class="separator" style="clear: both; text-align: center;">
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<br /></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">To
choose other part follow the link:</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html</span></span></span></span></a></div>
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-89096812644444527302015-07-30T03:04:00.001-07:002015-08-06T18:41:09.982-07:00<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<div class="western" lang="en-GB" style="font-weight: normal;">
<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><b><span style="font-size: large;"><span lang="en-GB">#Stencyl:
Zerg terrain infection</span></span></b></span></span></span></div>
<br />
<span style="font-size: small;"><b><span lang="en-GB"><span lang="en-GB">Part
1: C</span></span><span lang="en-GB"><span lang="en-GB">reating
building, making building follow mouse, placing building</span></span></b></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<br />
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Topics:</b></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Choosing building on
keyboard key</span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Cancel chosen building</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Make
building follow the mouse</span></span></span></div>
</li>
<li><div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Placing
building</span></span></span></div>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
</li>
</ul>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>Behaviors used in part I</b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Behavior:</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">main
scene behavior (scene behavior)</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
created</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
e pressed</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
r pressed</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">on
mouse-click</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
d pressed</span></span></span></span></div>
</li>
</ul>
</li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Main
variables:</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">building_active
- Boolean; if there is a building following the mouse</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">tile_size
- Number; size of tiles in pixels</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">active_building
- Actor; Stores picked building</span></span></span></span></div>
</li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">For tiles and building actors we change
Physics->General->What kind of Actor Type? to <cannot move>
and Physics->Advanced -> Actor Mode to <Simple>.</span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">In
when create we declare tile size(<tile_size>) in pixels. We
declare <building_active> to false. <building_active>
says if we picked building. We create <building_list> matrix
that will be used in checking if there is a place for placing picked
building. </span></span></span></span>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjvWlDvP0Ds11AluBi8-6J4AkqGVFrFH2jZHqZtTSgvjc4ZtfXXG1gSvLMkfIJO6K4qapASXNht0S5I8EeOPxAfLR2lRfxgSaT_AnET5oh6B_HK6cjyLD-3OHv8xlqSJ1FFyFrgieH6B5U/s1600/01.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjvWlDvP0Ds11AluBi8-6J4AkqGVFrFH2jZHqZtTSgvjc4ZtfXXG1gSvLMkfIJO6K4qapASXNht0S5I8EeOPxAfLR2lRfxgSaT_AnET5oh6B_HK6cjyLD-3OHv8xlqSJ1FFyFrgieH6B5U/s1600/01.png" /></a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Choosing
building on keyboard key</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">->
<when e pressed></span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">We check if there is no building picked by checking (if
(not(<span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><building_active></span></span></span>)
) ). If this is true we create building. We set <span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><building_active>
to <true> since we picked building. We set <active_building>
to <last created actor>. We move <last created actor> so
that it has center on the mouse position.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">I
assume that all created actors this way have width and height equal
to multiplied tiles. Implementation for second building is pretty
much the same expect it is </span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB"><</span></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">when
r pressed</span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB">>
event.</span></span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhpbOE_hKQ6QBjeUp3JJNae-u8wpTW1aZA2NUH20ctDuQQBhVpg7g_LOoLTFJSjWhynVg61dMc2da7AL3acu6-WmzTi1qlXU8-U2dZykggE8RubBuIJWF8tD3wn480ZIBcscETyb6Snbz0/s1600/02.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhpbOE_hKQ6QBjeUp3JJNae-u8wpTW1aZA2NUH20ctDuQQBhVpg7g_LOoLTFJSjWhynVg61dMc2da7AL3acu6-WmzTi1qlXU8-U2dZykggE8RubBuIJWF8tD3wn480ZIBcscETyb6Snbz0/s1600/02.png" /></a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Cancel
chosen building</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">->
<when d pressed></span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">If
player has made a mistake and picked the wrong type of building we
allow them to cancel their choice. </span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB"><span style="font-weight: normal;">We
check if there exists picked actor and if it's true we kill it and
mark this fact by setting </span></span></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;"><building_active>
to <false>.</span></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhOnw7N1Ii3PXYe8yHcoo5n8UkBu_JJr0VH4ZWzo-s8aMbu_OrO5gjCmaMLtmh468eVTAhyTWZwsbQHUNSbqbuMp_UtO1sK217R8TJ-P_t4c3Cqum4Q7qxoM0Wp3NBMlfsmQ5Eph4NMxtc/s1600/003.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhOnw7N1Ii3PXYe8yHcoo5n8UkBu_JJr0VH4ZWzo-s8aMbu_OrO5gjCmaMLtmh468eVTAhyTWZwsbQHUNSbqbuMp_UtO1sK217R8TJ-P_t4c3Cqum4Q7qxoM0Wp3NBMlfsmQ5Eph4NMxtc/s1600/003.png" /></a></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Make
building follow the mouse</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB"> </span></b></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">->
<on update event></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">First
If </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;"><building_active>
checks if building exists. If yes we set building so it's center is
at the mouse position.</span></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">Then
we check 4 ifs in order to prevent building from leaving the screen.
If x < 0 and if y < 0 are obvious the other pair might seem
strange(explanation on picture below).</span></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">The
second pair of <set x> and <set y> snaps the position of
building to the grid.</span></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
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<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEif2KmL8ciJOKTDV4NYCRzbrgF2S_Fis4vG1sV3ZlTmX5EoZKb44VXtacPH8wvY2S9EL5ItRV8TOlQLvFx9FNbFWcsxeR5cxKdjc-YREGDu6PK8vsGhtn5TRLUdxSNFd8ST8xjXvbDpMBA/s1600/x-limit.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="309" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEif2KmL8ciJOKTDV4NYCRzbrgF2S_Fis4vG1sV3ZlTmX5EoZKb44VXtacPH8wvY2S9EL5ItRV8TOlQLvFx9FNbFWcsxeR5cxKdjc-YREGDu6PK8vsGhtn5TRLUdxSNFd8ST8xjXvbDpMBA/s320/x-limit.png" width="320" /> </a></div>
<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Picture
shows the building in position to most right and it is last position
acceptable in that direction(yellow). If the building was anymore to
the right it should be limited to that position since </span></span></span></span><span style="font-size: small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;"><span style="font-size: small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">otherwise</span></span></span></span> some part of actor would leave screen.</span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJRfz4MPhBHghC9f29u_tKxItmr7h-sFw60T8U9WG76rMbXvkl2sdCFEKUsUQ9_4lNGEI9sbMy5r62I-sCKibrWr3UlCCzuwOu1F4ThNNya77Z51rN61ILsRqRjtkS4z-n60ZV1NgwnnM/s1600/snap.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJRfz4MPhBHghC9f29u_tKxItmr7h-sFw60T8U9WG76rMbXvkl2sdCFEKUsUQ9_4lNGEI9sbMy5r62I-sCKibrWr3UlCCzuwOu1F4ThNNya77Z51rN61ILsRqRjtkS4z-n60ZV1NgwnnM/s1600/snap.png" /></a></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><span lang="en-GB">Snapping
to grid means that we should change the current position of
actor(purple) to node of the grid(black). </span></span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Code
analysis for x direction. In this project we set <tile_size> to 16</span></span><span style="font-size: x-small;"><span lang="en-GB">.
</span></span><span style="font-size: small;"><span lang="en-GB">For x = 8; x/16 = 0.5.
Since we apply floor -> floor (0.5) = 0. This means that purple
point will be moved to the tile number 0 counting from the left. In
order to update position of actor we need to return to pixel
values so we multiply it number of tile by <tile_size> and we
get x-position = 0 (value in pixels). </span></span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">The
floor function is nice because you know that coordinates of nodes to the right and bottom from checked node are
limits of how far a purple point can get from the checked node point while still being snapped to it. It's
much easier than using round function. </span></span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b><span lang="en-GB">Placing
building</span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"> -><</span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">when
mouse was pressed</span></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">First
If <building_active> checks if there is a building picked. If
yes we ask if there are no other building on space where we are about
to place building by triggering <building_check> (more details
in Part II). If that's ok we place building. Since the building is
placed and we don't want it to follow mouse anymore we set </span></span></span></span><span style="font-size: small;"><span lang="en-GB"><span style="font-size: small;"><span lang="en-GB"><span style="font-weight: normal;">
</span></span></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;"><building_active>
to <false>. Then we trigger <placed_on_map> to force
building to do all the work associated with its arrival (Part II).</span></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJf0-BHopVV1-lAoqXjoh4Iv4voMHLloDfqsZLsdtYp4UkGQBuVd81ZQ7YbeBPeN8qRzS_0AKxWvIsyewY1bFDWPSXXjlP1F10p6Hzf4P4Sxff4AH3BBiAyo_nQhWz2vQjo2safo2VmHg/s1600/05.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJf0-BHopVV1-lAoqXjoh4Iv4voMHLloDfqsZLsdtYp4UkGQBuVd81ZQ7YbeBPeN8qRzS_0AKxWvIsyewY1bFDWPSXXjlP1F10p6Hzf4P4Sxff4AH3BBiAyo_nQhWz2vQjo2safo2VmHg/s1600/05.png" /></a></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><b>To choose other part
follow the link:</b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection.html</span></span></span></span></a></div>
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-82420320183910398892015-07-23T19:03:00.000-07:002015-08-11T01:27:30.939-07:00<div class="western" lang="en-GB" style="font-weight: normal;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span style="font-size: x-large;"><span lang="en-GB">#Stencyl:
Zerg terrain infection</span></span></b></span></span></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">Difficulty:
(6.5/10)</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">Estimated
time of work: 12 hours</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">(Together
with matrix behavior)</span><br />
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div align="LEFT" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: large;"><b>Original request: </b></span>
</div>
<div class="western" style="margin-bottom: 0cm;">
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiA3Rs3vMCQ6qgGCozmsgjLqjh5y6828Cq0_2gu8rse4cRcyOBzuykg85lm447Xum-Y-Q9RKAuuSlm5L4LVKQKT_gTiLlA-8_vIQxrGe7MLBexD4hzehLgY9id9KtqrkHknQ6WNONBEuWU/s1600/request.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="243" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiA3Rs3vMCQ6qgGCozmsgjLqjh5y6828Cq0_2gu8rse4cRcyOBzuykg85lm447Xum-Y-Q9RKAuuSlm5L4LVKQKT_gTiLlA-8_vIQxrGe7MLBexD4hzehLgY9id9KtqrkHknQ6WNONBEuWU/s640/request.png" width="640" /></a></div>
<br /></div>
<div align="LEFT" class="western" style="margin-bottom: 0cm;">
<a href="http://community.stencyl.com/index.php/topic,42566.0.html"><span style="font-size: x-small;"><span lang="en-GB">http://community.stencyl.com/index.php/topic,42566.0.html </span></span></a></div>
<div align="LEFT" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div align="LEFT" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: large;"><b>Video of finished project:</b></span></div>
<div class="western" style="margin-bottom: 0cm;">
<br />
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/NI_L8bVoLt8/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/NI_L8bVoLt8?feature=player_embedded" width="320"></iframe></div>
<br /></div>
<div align="LEFT" class="western" style="margin-bottom: 0cm;">
<a href="https://www.youtube.com/watch?v=NI_L8bVoLt8"><span style="font-size: x-small;"><span lang="en-GB">https://www.youtube.com/watch?v=NI_L8bVoLt8 </span></span></a></div>
<div align="LEFT" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br />
<b><span style="font-size: large;">Play me</span></b><br />
<br />
<a href="http://www.newgrounds.com/portal/view/661869?updated=1">http://www.newgrounds.com/portal/view/661869?updated=1</a><br />
<br /></div>
<div align="LEFT" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: large;"><b>Download</b></span>
</div>
<div align="LEFT" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div align="LEFT" class="western" style="margin-bottom: 0cm;">
<span lang="en-GB">mirror
#1: </span><a href="http://www.fileconvoy.com/dfl.php?id=ga74656254ba2baa999970276842772c1530e2875f"><span style="font-size: small;">http://www.fileconvoy.com/dfl.php?id=ga74656254ba2baa999970276842772c1530e2875f</span></a></div>
<div align="LEFT" class="western" style="margin-bottom: 0cm;">
<span lang="en-GB">mirror
#2: </span><a href="http://s000.tinyupload.com/index.php?file_id=00154731831152483834">http://s000.tinyupload.com/?file_id=00154731831152483834</a></div>
<div align="LEFT" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div align="LEFT" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: large;"><b>Instruction to project:</b></span></div>
<ul>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Press
E to choose Base building
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Press
R to choose Egg building
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Click
on map with building chosen to place it on map. If you heard beep
sound that means you are trying to put the building over existing
one => game does not allow it.
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Press
D to cancel the choice of building
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Press
A to perform single infection-step
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Press
F to allow auto infection
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Press
S to reload scene (start from empty)
</div>
</li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span lang="en-GB">Problem
overview</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">In
some RTS games after you place building it will infect ground around
it. In some cases it influences gameplay, other times it's pure
graphical gimmick.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">This
project will be using grid of tiles logic. So while mouse can move
normally buildings can only be build on tiles.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjAcsLsPemumQDUDgTaaEx3niMD_leQWHtRx9D-x9DM9ck12G9uiEykf9YnhOW_SU0w1SyC4dDcPhf5T7QrNSf3Rpd71t43cUKq7F2Hs_E2pS1p4qpX4jTjKEurYUsJKKDix_sRvpNbA-s/s1600/zerg.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjAcsLsPemumQDUDgTaaEx3niMD_leQWHtRx9D-x9DM9ck12G9uiEykf9YnhOW_SU0w1SyC4dDcPhf5T7QrNSf3Rpd71t43cUKq7F2Hs_E2pS1p4qpX4jTjKEurYUsJKKDix_sRvpNbA-s/s1600/zerg.jpg" /></a></div>
</div>
<div style="margin-top: 0.21cm;">
<div style="text-align: center;">
<span style="font-size: small;"><i><span style="font-size: x-small;"><span lang="en-GB">Zerg
buildings in Starcraft II with infected ground around them</span></span></i></span></div>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4LBMaLmaTFScGSBbT0UQsMWI2BvsqX_FZzjGQrWF2abrEA846vU9g08MwIHXzbDuDHNN7IH359YLtHpMRNa3QLabf9odA48FPT1x-J_YoUG-aHbRn6jmuRU0qChmHziU6ITjwECYszHc/s1600/disciples.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4LBMaLmaTFScGSBbT0UQsMWI2BvsqX_FZzjGQrWF2abrEA846vU9g08MwIHXzbDuDHNN7IH359YLtHpMRNa3QLabf9odA48FPT1x-J_YoUG-aHbRn6jmuRU0qChmHziU6ITjwECYszHc/s1600/disciples.jpg" /></a></div>
<div style="text-align: center;">
<span style="font-size: small;"><i><span style="font-size: x-small;">Disciples
II showing ground infected by different factions: Damned Legion(red)
and Undead Hordes(grey)</span></i></span></div>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEidh1kdu6q3Dl7eQAxe4jpJNH1BCnXrjR2g5_cj41rCM4-ibsg3Rd_u0CP0i2Yqokawch1y4_IZXXIQN0ccMVrCF3XKQF9YFef0iC0UeD4CZjcfVswtj17-v4eO9cRSLOxI68IwGQiBwUI/s1600/Grid.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="213" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEidh1kdu6q3Dl7eQAxe4jpJNH1BCnXrjR2g5_cj41rCM4-ibsg3Rd_u0CP0i2Yqokawch1y4_IZXXIQN0ccMVrCF3XKQF9YFef0iC0UeD4CZjcfVswtj17-v4eO9cRSLOxI68IwGQiBwUI/s320/Grid.PNG" width="320" /></a></div>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm; text-align: center;">
<i><span style="font-size: small;"><span style="font-size: x-small;">Top view RTS with grid of tiles visible</span></span></i></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span lang="en-GB">Project
in bullets</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">What
we want:</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Choose
from 2 types of building (for variety)</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Chosen
building follows the mouse in grid-system</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">On-click
if there is a place on map we place the chosen building on map,
otherwise we play beep sound so that player may know that they are
trying to do something stupid</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Placed
building infects area around it</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">On
keyboard key pressed already infected area spreads to surrounding
tiles in 4 way fashion (top, down, left, right)</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Infected
tiles changes animation based on its surroundings</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">We
want to let infection to spread on its own ass time progress as well
without being forced to press keyboard key</span></span></span></span></div>
</li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Problems
to be solve:</span></span></span></span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">How
do we make building follow the mouse?</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">How
to snap building to grid?</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">How
to check if there is place for building about to build?</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Algorithm
for spreading the infected tiles</span></span></span></span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Algorithm
for changing animation of infected tile</span></span></span></span></div>
</li>
</ul>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span lang="en-GB">Project
review</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">While
concepts of project isn't really difficult the implementation gives
plenty of chances to make mistakes along the way. </span></span></span></span>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Project
uses matrix implemented in <matrix behavior>. This are 2D lists
limited in x direction and unlimited in y direction. For more info on
<matrix behavior> follow the link:</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="http://t4upl.blogspot.com/2015/08/stencylmatrix-behavior-topics-download.html">http://t4upl.blogspot.com/2015/08/stencylmatrix-behavior-topics-download.html</a></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Tutorial
has been divided into 4 parts:</span></span></span></span></div>
<ul>
</ul>
<ul>
<li><a href="http://t4upl.blogspot.com/2015/07/part1-c-reatingbuilding-making-building.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Part 1: Creating building, making building follow mouse, placing building</span></span></span></span></a></li>
<li><a href="http://t4upl.blogspot.com/2015/07/stencylzerg-terrain-infection-part2.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Part 2: Checking if it's ok to place building and dealing with effects of placing new building</span></span></span></span></a></li>
<li><a href="http://t4upl.blogspot.com/2015/08/stencylzerg-terrain-infection-part3.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Part 3: Creating tiles, infecting first tiles</span></span></span></span></a></li>
<li><a href="http://t4upl.blogspot.com/2015/08/stencylzerg-terrain-infection-part4.html"><span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Part 4: Spreading the infection </span></span></span></span></a></li>
</ul>
<div lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br />
<div align="left">
Tags </div>
<span style="font-size: small;">Stencyl, Zerg, Starcraft, tile, grid, RTS, infect,
infection, disease, spreading, building, placing</span><br />
<br /></div>
<br />
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><br /></span></span></span></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-large;"><b></b></span></div>
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-31422835280092179332015-07-11T17:00:00.000-07:002015-07-19T04:25:10.883-07:00<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-large;"><b>About
me - part I</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal;">
<span style="font-size: x-small;"><span style="font-size: medium;"><b>Finished
games</b></span></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">I
publish games to Newgrounds:</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">http://t4upl.newgrounds.com/
</span>
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Education</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Bachelor
degree: Biomedical engineering</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Master
degree (in progress): Informatics</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>About
the games:</b></span></div>
<ul>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b><span style="font-size: small;">World
chaser</span></b><span style="font-size: small;"><span style="font-weight: normal;"> -
probably the game I am most proud of. Not everything worked and
would change this and that if I ever decide to do a remake. </span></span></span><br />
<span style="font-size: medium;"><span style="font-size: small;"><span style="font-weight: normal;"> </span></span></span>
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><span style="font-size: small;"><span style="font-weight: normal;">Some
fault lays at Stencyl - game was created using version 2 which had
inefficient graphical engine what resulted in lags. The main problem
with game design is that playing longer doesn't necessary bring you
closer to the end. It's because you are allowed to revisit worlds
you have already completed. I would change that if I get second
chance. </span></span></span><br />
<span style="font-size: medium;"><span style="font-size: small;"><span style="font-weight: normal;"> </span></span></span>
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><span style="font-size: small;"><span style="font-weight: normal;">One
of the extras I really like are album which contains worlds you have
already visited. The other one is quotes contained in the
instructions to each world. Finding quotes concerning some topics
turned out to be more difficult than expected. The funniest thing
about researching quotes was finding quote about ire/wrath/fury. As
it turns out the only 'cool' quote came from the Bible (a.k.a. that
book speaking of endless mercy).</span></span></span><br />
<br /></div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<b>Twin
star</b> - this game was made for LudumDare with theme 'Worlds
connected' and it's quite a funny/sad story. You know how they say
that you need to fail a 100 times and then you will succeed? This
game is one-step from succeeding. I think the game itself was nice.
I wanted to add gravity effects like in 'Oribtal' but had failed to
do it so it remained only as concept and was never implemented.</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
The main
idea of the game is that you control a pair of stars with single
gravity center - so if you rotate one star around it the other moves
as well. I added some gravity to the stars - if they are close,
gravity will take effect and it will be more difficult to separate
them. I published the game, it made some views. Some time later I
enter newgrounds and I see frontpaged a game called Binary ... (I
think it was called Binary System).</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
</div>
<ul>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
The
game had used the same idea of two stars with single point of
gravity.
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
No
extra effects.
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
No
gravity between stars.
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
The
game layout was worse - you could die because the enemy could jump
from outside of screen.
</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Game
used 3D graphics instead of 2D like mine (3D but nothing advanced)</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Game
made easily 10 times more views than my game</div>
</li>
</ul>
</li>
</ul>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
I must
say I am extremely jealous about that other game but on the other
hand I know that I am on good way and next time it will be me taking
those views.</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm; margin-top: 0cm;">
<span style="font-size: small;"><b>Treasure Hunt</b> - this game is bad, really bad. It
was my first LudumDare so I didn't know how it works really. My
internet connection was bad so even if I were to finish my game in
time I wasn't sure if I would be able to send it. I had terrible
hangover from meeting my friends day before. </span>
</div>
</li>
</ul>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-weight: normal;"> The
game turned out to be extremely boring. I think there is some
potential in the idea but it would need to be differently executed
to give fun. The only good thing about the game was background. </span></span>
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-weight: normal;"> The
funny part: as this game is the worst game I ever did it has the most
views.</span></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><b>Stencyl</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-weight: normal;">I
don't know how I got into Stencyl. Every summer I had promised myself
that this is the summer when I would learn how to do games and one
summer I did. I did crash course, which is terrible. On the other
hand you need to do this. Now being one of the guys on the forum who
helps newcomers there is nothing worse that a newbie who comes
demands help and is not willing to do anything on his own. </span></span>
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><b>Consturct
2</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
I had
brief romance encounter with Construct when I got really angry at
Stencyl (and stupid things that happen and are not covered in
manuals). It has some pros and cons against Stencyl. The bottom line
is that free version allows you only to give 100 events. At that time
I wanted to do full RPG, with big dialogues interactions between NPCs
etc. 100 events let me move my character and open dialogue and that
was it. You want more? Buy full version! As you see Construct
screams for your money. I would consider buying it if it was perfect
but it is far from it.</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<b>Blog</b></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
This blog
was created from variety of reason. Firstly I helped a lot on Stencyl
forums. 2 hours here 2 hours there... I could use those 4 hours to
make my own game and yet I got nothing in return. So now I got a
blog. The other thing is that crash course is really terrible so I
wanted to provide something better.
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
I don't do
games for lazy people - if you want me to do your school-project pay
me and I will do it. I do projects for this blog either because the
problem is interesting or the project has good educational values.
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
The rules
for using my codes are:</div>
<ul>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
If
your game is non-profit it's ok to use my code as long as mention me</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
If
your game is commercial you are ought to discuss me about using my
code - otherwise I will take legal action against you</div>
</li>
<li><div class="western" lang="en-GB" style="margin-bottom: 0cm;">
Some
things used in tutorial (pictures, music) don't belong to me - they
belong to their owners.</div>
</li>
</ul>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-56814835751991813222015-05-12T03:44:00.000-07:002015-05-12T04:01:52.970-07:00Maze generation (Part I)<br />
<div align="CENTER" class="western" lang="en-GB" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;">
</div>
<br />
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-large;"><b>#Stencyl:
Maze generation (Part I)</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Difficulty:
(7/10)</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Estimated
time of work: 4-5 hours</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Maze
generation problem</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">In
some games you move from room to room while encountering various
types of monsters along the way. Classic examples involves dungeon
crawlers RPGs, Metroid or Binding of Issac. Today we will be
generating a maze. </span>
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqMAAAH8CAIAAABqzTGAAAAgAElEQVR4nOS9d7xXxZk/PqefTz39TDnl08st9K4CIoqVtWBFpUsvl3upUWQTExONMRo2G4xlE7tivipqYtwkNqRLF4QAibqY7P6y+01XUbzfP557Dx9uATRmTfI7r/cLzj2fOXOmPDPveZ55ZgZJCkISQjxCHEI8h0SEBIQ4EaE44tof8lzbPYcQhzhe5AQe8Rzi21+EO0FAPI94hASuDTw6ipoYjnlybORHf+0AoVOw/y109wuPOB5xnZ+3/3f0ansgiEgQj5Yn3NTeHxP7SeQ3iqGtlLiOP7X9yXcDEXES4iTEiW0Vx/OI549WXwfIYlud1laucDS6LsunMzhO6BJd13t36CBdx6CbooterMVxPtGxkLkuqulkIPAI2stJhu8ynQLXVjtdQEC80EVJd/e8y5Acj3iERP7o1yWhY4GLPBL5o4XWXWY7pwEgiF0kTBCP/ln7/CRT3jkXXTxvhyQhWT76pyi2C7xw9EaWj74oSkiUav6sCR/dS9IxdSEIx8TWdX11J3Ld1K8ktBV7B6GN5OqEonX8MN2195Nqeu1ZFrpvv0jsBt28wIldguePAYek7tD9F0WExK4LWRC67kq47uUwCtAhPC+1oZuMdESnL7b1h93KeTfo3L0LMuJECdhH4lBKiamipAi8KnJxhY/JXEwS47KiCEgVubjExyU+JnIJoQ0xSYxJfEziYyJ3FIKgqIKs8JIkAGRZBEgyJ0sdIckcH+P5GC/EBbjhVA4gS4IsCYosdkBMbYOqCIrMyxIniagzok9A+jvjaACZr01S5y8CRFmIICliBFmVZFVSYnIHcIrAKQLfjuhdyFdtOhWZV2Q+JvFxWYAijRIZk3gIX1saqiKpihQVrKzwESSZi4oFooU/JRFJIq/IYkyVAfGYEo8pMVWWRSmmJFUpqUjxRFxNJpR4TEnEkoosigIn8Ai+K4m8JPKqIsVUWZHFKD2yJMBPoiwIEh+hpri42qI7PiRFrM1vLeArksh3eK4qUoeaavspKh9ZlGVRUSSAKHQUFVE4HgSBiyCKfARJ5EWBO3lIHJJ5pIpcXBYSihihS+FUxY5SLQptXbqqCKoi1Mp/JMZdQpK5WsgKr6iCogoxSYwQl6W4LMUkUeY5SUQQuaoIssTFY1JMFRNxWeBRPCbFYxLQiqoI8ZgkS5waE9WYqKgC3IgS4gUkK20J6yDnqiIoqhBPyPGE3Cau7W9JktBWsO1dhyQJiiJ1EO/ajHSNGmlRFSkRV+MxRZYEkHmQXpAieAINCsLEYwqE5xBSVVlRpFhMSaeT6XQyHlfhz5gqq4oEkaeS8XhMkUSe51AyEYPY4OuiwMFXavuoo/2eiKB2OpdSJOcdUCuTtVIBcqUIKOro4L5zZ9Kh3+vw6c49UiQDHaQLnkcfknkU9XMy31EOow/xyjEQVB4gKV2jsyS3x4N4BXFyLXhO5o99gpDUhvZfO6IzUwA4GdUmUowJYkyQ4mKXhamKbRkRY0KUI0B3/VJ3zzvEIMVFOSEpSdnDtodtnzgBdWtBiR2BUcf3cOCTwCfMtYhtuKZmaUk9GTPTCSOVTKqKLMuiLCEBSRwXQ5zcNsiqHQYiHnECz/Mcx7XrpvwxI72udV+e4wQOSW2DLySgrjQ8hJDYpuQKIhKkGnTSoSK9FSGEOI7jay6O4wSOr4XIC21AnMTxEWReAHQIFr3YvYZ4DPi2jrfbdEpIlJEoIxGyo7SjdpQLuRAEQRRFAaEIkGZFEGOSLIqyKMqCIHUYNvK82EkhbruOWhFqSgnGiTwvRmNGUZQlSREFpMqKwMkc4gUeiSKM72VZVCRBFnlJEmSBEyFTIi8JiBeRICGxvcpEEQlCV4XTznG8wB0trghdDmA5rttSrZWTY2VG7PAElMfOY2SeFwVBqpUBmRciqVAEsUtA+f/lSMVULRE30ynH0IltUccGMNc5DqhjE9vClumahq1rtq4lFBkQlyVVFKB7lXlOFEVRFAVBqBUAhJAgHNN4O1iYoBlGDYFHHFAhh1AiFucQkgSRQ0jgeB5xIi/IoqRIsixKEF4WJUEQ4KMgyRA5pKRzYnie72Ag4UWBFwVOOJrCdnE9KsOdBfv4FySG4zhBEBRFkSQJIaRIcjKeSCdTMUWVRQkgcLzAwbBNkgRZkVSRlwROVCQVWgo0E1GUobnxvMghXpFUvs26IkiCqMqKJIhgzZIEMRFLppNaKpFOJzVDM7VEMoKeTOnJFNzHJFkVJUUQIyEE5a5WODtDEcS4rCTVWG1sRipt6wa2bOq4HiYA6rjYsh3DNNOankylYvGEosZlJaqaDlcUvypKcVlJKGpSjaVi8XQ8kY4n4HNGKm2k0mZaAxipNKQBntfmLgK8no4nDDXWGWYs3uVzQ41piXgHpOOxdDxmxJSjODYqQOdPdInO8QPsRDKCk0y5qTROazitdddCfcsObCdC9Gfnhty5vUcPqWOHjlsbT+i4WUxyhEJID7sedn2CIzDXqf3TJ9jDLnOdkOGQ4ZBReBJQwlzHTKd4xPE8QrygIk5EvNBmqhIVJEpIFJCEOF4UxLaRqiCJoiyBfIpqTFRjsqrUQFIUSRF4kRcETjw6fIqYnutgv+UQQsdY9rijAPaNeiJJEBVJVmUlkUgkk0ld1y3LwhgzxnzfD4LAZ16X8CgDdPe8FozQVM2VrrlAmmsFHWBrlq1ZVtrUE1pKTcalmCooqtCmYnBSR71VllVJUqT2S1EUVVVjsZih6Yamm7phGaZtWq7tEBczQglhGFPHwZblGIal66amGem0rigxWVbbY1MkSZFlVZZlRWoD9GVQaHE1ZmimZdhaSlckFfqyVCKtpw2HpDB1U2lTEGVJ4UUF8aIgyYlEImEYhmVZqVRKluW24YggSIKopdKOZZu6oaXSkGY9rUXl02VBHX2e1AFaqmukUhogmUxHSKU0LZXuEulkqgNSiWQynkgfe2mapmmaruuM0EgYamWDEfqJ8Ekv4mKKCSP0ZOSwVlxBLCkmxMXYcX2PBj4LfOZ71GOEUdwGxhhjhBDXdR3HsW3bsizTNFOpVDKZTCQSsVhMVVWl/ZJlGW5EUQQebadqHiFeECRJUuBGUWLRaAxGSxELwgBUkpRoBCmKsiyrqhqPhBNoEl4URVlWYhwvIk4AmxgMMxQ1rqqqqqrJZBKkTtd1qLV0N5ee1rqGbhqGZZq2rpvptJ5IpFQ1LkkKJBtwjJUV8bKswtAZ0g//wvC6M0RBhfCQfdSue8DwiEO8ltJ9FgRe6FGfkQA7LjTkNrHBBBB4fm39RuhOEiIx6BBVJFdRDwY/dY657fXurpoE+MwLPD/0g9APOneegecHnh/JZJQARjElbnf9LfVIBxCGCcOdnwM81gUYxfDWX45u27XHasF8zwt8L/Brk+F7NEIUDBrk0be6Sv9xUBsPAL57tIF3wLE1DtWBHRe7NnZtgh2oi0wQepSZuqFwksAjhNoscnwyoaRTCT1tWIZtW4ZjprBlMtfxicOo4zE38Al0NBmPZTyWoTTDcEjdDHZC1woc06c2cy3bMgzD0HVd13XD0ExD082UaaVNK22ZactMm1baMFO6mTIMDWAammXqlqk7hu4YumWmTSNl6EnTSNmWRrDlezgMKCQjAqMOJTbBFqH2JwVlDiB6gonle7gWYBIJfOL5uEtQihkjnkd9n0UIAg9Q+7ANbR20U2t7YdSB2JjnRumhzPF8XCtVUS8fBl7oB4HnQ2wA+CnrU0DIMNh5Mh7JBSygrk8cW08pQpvlIKlKRipOfYd5QTLpIqS0dX1IFHg9mVIpc4KQGmZKkjnQlxGHVEXArpnNeB5zXcegxPY97DG3y8LxA+IH2A/ghvgB8TwKCEIahDR63varj6GUomAROtRLhDCgUR2FAQ0DCumBJ21pYy4UMqMOwVZU5iA5tXawzvCJ0yUYtbsEJVaXYIzUArpJQlxKcdcgLjTpqI+jxKXExa5JsBUl+zjphzxCKUXtJRJp+LTr2ul0UpIEDlRUgTvnnHPGjx+/fPnyCy64IJfL8TwfBAGllBCSz+cZY5IkybLMGMvlco7jMEIDz7dNS+SFSPvnjlXHa7VtIO94PA4GABhhoPbJ/URcdR0LRL1dpEkHQC236y4dEVEixk46nRRFvt22wfXt23v06PNHjhxx1lkjL774wsGDB6qq3KdPnzFjxpx77rmjR48+55xzLrnkkkwmExkgI2XjqA8KtBBRbGxsPP/88y+44LwLLjjv/PPPPffcs4vFvCBwCKFUKuW6LqXU90Ps2pS4tVwFgNqMED2Hyu2MWhmOQMnRTgzAPBcQjQ2hoqFMKMXdSUsUf0f5b5efoz0ttrBrRiGhQ47aY23nXPs8qtMO5dAd83X+qTvOO/6vx0GX8UN1EOwAogoi7eiunUbvfoqUsPZ4omGEx0hbbDXdBcYOVCghLqSNYAd4Per/PY9CYNe1CXF93yeEpNNpEckcktpcx3RdZ4xBBqIG06F7qs1hl+hurNTtcKYbnaa78NGYJaqGE0oM/Hr8aq4N36EFdpaDY7/r1nLJ8WmDErvz1+EJdu3AZ5S4jm1mMwHG2HEcx3FgyAxlAvpBpN51CerYHnaJbTmGHll1AkqIZ/p2zkppiopUhJCEZFFBIlJiyFZVASEZoZFD1EXzE1cUJSQhHQmCmjR0glSkIV5AKSQjRUTxeNwwDErcwGcEO4xiuDm+lFPinrBk2qirm2FZ526uvcC7lsPu0KENdxCPDnLiMeLhBAvy2C36lp1laerplOKsDYqax4hHqed5ged5hDnMPyYS36MeZW3Vd6wIHV8IO8th9Fbnoj5BftsveJdgJww836OUUoyxaZq6rrfZ1RFasGDBO++885//+Z9vvfXWW2+99eijj86YMeOhhx567LHHVq1atWrVqscee2zu3LlNTU0PPfTQo48+unr16oceeujpp59esWKFoigDBw78whe+MGPGjIULFw4cOLBnz55TpkyRZZnjOFEUEUKyLDc1Na1YsUIUxXK53NzcfPvtt995553Tpk1bsGCBLMsIIcuyPM+DFgFFBFmO0k+Ji10bej3aXgLYtUHOXdclhGCMCSGKooAZ3/f9yZMnr1mz5g9/+MPvfve73//+9++8886WLVu++c1vrl+//p133jlw4MCBAwcOHjz4m9/85tFHH502bdqsWbPOO+8827YFQSiVSr169apUKg0NDQMHDrRte+zYsevWrfv5z39+6NChd9555xe/+MXBg7988MGHQcWXJCmdThLiMkYoZqC+U9ymDhJshQGFHhWyk8uG0LNBALiHZuV7FPrxT8cfn5r2TsivR1WUY6k9a7s4oIHPsrbrMZJlLOdgSnFAmRsajLECCxgp4Yydtd089Q1iBD4LsOeEXpYxh9lZ4lJK61guY6T1nJFzmccylOLQc12fhTTDCKW+kwtsy02UPUpDRqmXCfQQp6jHzICGoU0IyYY5FsRdD/vYyzuhm/FDzy3YhpvFXsBwiMtu29DQdq0g8KoO9j1MiOthNyTEd12wmXumlSfHa6qfCbrpM93IgBfBa9froj9rw0OfH1CS9T2PEUYocXEynoBRdRdM3wW1t2shbUObT8j03XZG7easjugu/k6i2WG0+IlGgt2F78z03ffUx6iMn5rpo4oE+tR1PZVKgW1fFEVJksDID2ZYQRAiK30HgMMdeHkkE7FkIpaIq1o6qSZELa5LCAk8SgmJar8GHFMVpIhSTOE0UUDDeide+0G/j/47/cFG/8J/OhehmGzKCkJIElUk+rmiGTgqSoqiqKpqIq6ahhaxmsfIyQ1mu2brY5ibdY3uX/lk9dulCHWu3Ihrc5gw6mDfyWS9rJchOINZxvGoxxyPudCoQsJgii6LSRvBRxFicnymP2GhdRb7zs3+ePA8xhilNKqpTOiHgQeTX77vJxIJ4OBSqfTqq6+uX79++fLld91117//+7/v2rVr3759+/fv37Zt2z333PO9731v3759hw4dWr9+/f79+5999tmvfvWrq1evPnjw4HPPPTd06NDNmzcfOHDgP/7jP956661XXnnlRz/60ebNm3v27IkQSqfTCKGBAwfu3Lnz4MGDl1122VNPPfXWW2+tWrXqpz/96W9/+9tXX30VUkIIYYxh1w4Dj3UzCKPEDQIP7JWMYrByQeX6vu/7PmPMNE1FUQRBkCRp2bJlb7755vbt2ydMmDBgwIBRo0Zt3bp17dq1Bw4c2Lhx4yuvvLJly5bXX39948aNa9as2bVr1/79+yHXDzzwgO/7o0ePfumll5555pnnnnvuhz/84SOPPLJu3bpdu3Zt3Lhx/fr1W7dufe2113bvfnP69Jkwg4YQMgwtmw1d167tAH2PMopdx2DUYYwEgQft3XUsIHXg+EgyoQR8j34KTbFLwYbi+kyYvtYqBoYl0OBDhnXPsqnFqGMHBPuEYMfyceiw0DM9ykLXTruUBDGbxGJMqTLsEwc7rs1I1nUIc0LqUkoVh2QZS4eWbbsW8TCxbEtzHJzGpuM4ukMclxmB52GScg3Tt9NOxnR8ywrS2LW1GLOJaWexpac9k1HHtjSRpNKebbtOzLEM044x07UdQ9ODIEODEFPiYjMRGF7AMHUZI5i6DrMd37GpxTz3xA3ts2Z6dqzBgHWlZ3Z+7pO2JyBsIHtaKn1ipq9l91p0KwH/60x/IonsyNx/YZvp8NPJ1NDx21X0EAbygc8c2wQ3IoRQ5OXU0eeom+UX7QEQGBLbvZwQ4pAqIYlDCKUSvDCt+ZSHV1zcjyIOSUiMIUn8+iz0wfN273p7eH/3nZ/0HlVGvIi4BEKI/+IV2o9W9K0LAknV2iQGIVkSoHuixD0ZxmrPr3t8RObHjvi0tdadnHR+TtttYtETAlojSfpUzQUmsR0rbQcY55hJnLRHDEZtSuz2GVTsBQw0sIhWGW0zyRy/rZ48OnD8CfPreR6ltFZcQQMOgsA0TfB6AYX7tttuO3DgwHPPPSeKommad955544dO7Zs2bJ58+bVq1cPHz5c07Tm5uYNGzZs2bJl69atX/jCFxBCyWTy1ltv3bhx489+9rOtW7fu3Lnzpptuuuuuu7Zt27Zhw4aDBw+ec845kTAvX77817/+9Z133jljxoyNGzf++Mc/BieG733ve+vWrQNiTiQSiqJAasHK1V1jB44EamQUO45lGJppmqIoGoaRSqVAVlOp1Lp16/bt23fjjTdyHAeJ2bp169atW1955ZWtW7du27Zt7ty5p5122oEDB3bs2LFmzZo1a9ZAxnfu3Pn000+/+OKLmzdv3rdv37Zt29544429e/fu3Llz7dq169ate/755+fOnXvDDTeMHXsNeC1Ag1UUKZmMY+yA74ipG65jtQ80HY+1GVcZI7lsyCi2LQO7tutYYeBlQh9s/mHgHYebT0b+a6UOLCKfLrYu44+aTO0cQZY42DUYNgPmOL5DqB0QB1Pbc/2s52CfFByzEfvLc/m7cg135xsuypcyzCbMwdTNmxbzXEpsiklI1GWV8q353O1e/uZi7qYKu76Ab8mXbq6G32honBJmR6mJixle6HlfDOktFf/OsLCikP+XIHNHQ+ZrFftrjT0uoOF58filBN+ULdxWyN6S9b+VK3yzUPhG1vt2XfDtYvkrDQ3/ZJt5oqWJ7jhOxvOzNskyxlwnoMRjLmWOHxAYwXxW5fYX4vgGvKgrhl6IEJdSyhg7arcDR1xD06Mu6WTo81NI3l+OE44Ajl86tWL6KdrMZ14g0Z/YtR3bhJl42zKATdPpdCqVAm0eXKvAqUru/oIAMJkqimI8HgclgxN4CYmShASV0yRdRNLSy+1X/q2hTy9kiejUvv22/Wjg71/mDZrsOzze+j/Zx76ZJYJNNXTzwvMO72eP3CzZKQXJKHK05nnetoxoSumEhd/ppxPr9yeju3/SJnHCV2qrhmCHOZSSLHZ9D7uYWBolbi5gGeJg2wuY51HXsWDGxHMcYpquY0URgoWtu6/85Thhs6ftRu9I5FzHSiZiMVUGAQOjfSwWQwjdcsst+/fvf+mll+LxOEJo1qxZhw4dmjlz5iuvvLJ9+/bnn3/+hRde2LRp05YtW7Zt27Zv375nn332+uuvnzBhwj333LNp06a1a9fu2bNn5cqVqVSqsbFx06ZNGzZs2L1799e//nXbtm3bzuVyd9xxx4EDB2688caLLrpo+/btGzZsWLx4sW3bqVQKPgp+4DzPq4qkpZNaOunYJuSi1tbCKPawGzLqMeLYZjqVUBQpGtoKggAyD56kgiCsW7cOxiKPP/745Zdfns1mNU1zHOehhx7avXv32rVrH3zwwZdeeunll19et24djFHCMNywYQMQPIx4brvttmuuuWbq1Kljx4790pe+9Morr+zevXvv3r0rV668+uqr589vGTRoSOSXIIpizQICJAiCJAmJREzTUjAx6rp2pVLq37/vxRdfOGXyxGlTp0yZPHH8uGvGj7vmnLPPch3LtgxGcSbs3ifrJGTjM++1auM/2lLAMYK6mLrUMTPYzhLHY45FTOyaISEYO0nmuZ5tBjRLrcbQ+265sqqu4fFqeX6pV8bTSeB6zM1rRuATl1gBZZkgfUt9z3uLDfdnKk/V9VhdyT/UWHi8UP/9Qvn+HgNnNzZe7DgtjdVH6nv+tNrz6Xz53r6N9/asfD8sfL9SXFkNvtN38BmF3GjXaKpv/H5970caKw8X84/mGx5q7PdIvvRoKVhRDW8aVH+Z7xRx2nJ03yWeH+ZcFmBKHbfNLOc6AcagJX9e6E5XOX6HBgMvjB1CiOd5hmF8MqY/eR36bwqfgumPU45/pSZUG6dtGTzPy7Lcp0+fr3zlK83NzRMnTrz22muvvfba8ePHT5gwYdy4cRO6uSZOnAgBJk+ePHHixPHjx/fv3x8hJCsJAcU0Xc01WDEJGUl51S3i4b2odV3u1dvQfz4Ta92ptO5Aux/Tj7yK3t8q/OEN6c1n0bs/jH+8nW99U/zlGjbmnKqDlGw2C074sixblsXa5+lPpvD/ql3Pp5OHE8pG3jNYvmh4QWCncmZCi6dlUUkglEBqmounhYQmJ+y0zlwn8Eku68OwGnQdGLcdfyT01wZ8PbIxOLYpwXI68B2XJPgXITR48OCXXnppw4YN3/3udxctWrRq1aqf//znd9xxx/r167dv3757927495lnnrngggteffXVnTt3wsN9+/Y98MAD8+bN++1vfwsavKqqGzZs2LZt2+uvv37ffffdfvvt69evf+ONNzZt2rRz58577703nU6vXLly3bp1Bw4ceO211771rW/17dsX6LnNUw8hUeA4hAw9HY1XaimfuQ4wva6lJPEoqYJwwggG8hWPx7/zne/s3bv34MGD27dv37Zt26ZNm+bPn3/ZZZc9+OCD27dvB7v9li1b9u7d+8Ybb0CYm2666aGHHtq1a9fmzZvBSl/7CU3TVq9eDWOCXbt2vfnmm/v37x86dCikX1EUCAnFW+uVqChS27wDca+88vLZs2fOnj1z6tQpkydNmDxpwqyZ0+fMnjl92nVDTzslmwlcx3Jsk2Ann8t87q2mcyNixzI9eA8ZWZr1aQbbJHAd3ybYDHxCGHZYwLBOXJwhZoW6388Wn8oVVmez12caKY5TZvvEyWh64BOH2Vk/cF33dOoPDtyzmH1ztfpYkP1Oz+pNYbExdIZ4Xr9MeLXprazr+3i5z7/26DOuLjfIpAOI3zOoFHL5ujw5PShkiTvRdP6lR5/Hqj2+2ac0qYL72Vq5lKsWstWi1zfw64q5CgmyXi7DsjnipZjB8thl1PEwy/rMx7CwjXqMZv7myv/4AHMRIS7MhYFO32a9747p/3Y66P81HIeZ/nqkRYkbWWVty4B+oV+/fosXL25qampqalq4cOGSJUuWLl26dOnSRYsWLTzu1dTU1NLS0tzcvHTp0lGjRiGEJIUXEOrZ2KvXgBE8kk47peHAC43vb1Za1zl/2hpv3cb9aYP60S70h9fjrWu4jzdwrTuN1h34g82pjzZJH+9F23+QCwInS7PDhg2DHllVVfB76qy2nhjkk7/yv4LOJnHLS3sBCRwr1JJmMolETeCSNqcIYqxt8wme42QeSZycUExiwxokSlxQRj/1mLi7UWaXCT7OV6LpFTDoObYJq+miNevgtsbz/PDhw1988cXXX3997969b7311vbt2zdt2rRt27YHH3xw8+bNL7/88oYNG3bs2PHEE0/069evpaVl7969zz77LBDh/ffff++997799tsXXXQRQsi27R07drz++uvr1q3bs2fP888/v3nz5g0bNoA9f86cOfD1UaNGPfLIIz/72c82bdp06NAhTdMiSpREnkNIlgQtnYRsRhPYtXzv2GY8pvAcEngEu+7UrsWH3IHRYsaMGXfffffGjRt/9atfHTp06O233967d+/WrVs3bdoEWdi5c+f9999/zz33QFJ37dq1e/fujRs3btq0aevWrTt27KhWqwgh13Wz2SzP8w8//PDu3bt37969evXqJ5544tZbb5UkCdIPS1LhXpIEnkeiyHMc4jgkirznUV1PNzbWT5t23dSpU6ZMmTR9+tSZM6dPvW7yrJnTQb8ffcF5YMmHPgH0+08hyR0E4zPstWrZobZLTGKtpBlFWc3ryYqZqsRilVSypGt941aPuNojrmetVODqK8qFJyrVF6rVL4R1mCYCYofU9U3DY65NrazvZSwrp8dCEh9IUrc0Vn6UCR/pW/16PpOx03lLJ6F+haXfVc49US48VN842/d6KGiwlqhjmbzLitRq1CzHSUzBqZXF4uP54r2NxdlZqz9Cdal4wdDytlFKu9RyaNrMpe1S3KhLpv2YUDUSmVQia6SLZrqUStSntKpmsbTuun/rDNiZlXyPAtNTSjVNO4bpTd3ojun/dsj+U1hlO+SIfaYS/1kBOjJQAXUtBf1UoVCYP39+cwg1aX0AACAASURBVHPzokWLFi1a1NTUNG/ePHjS3QVjAhgWNDU1LV269KyzzkIIIQ6pQjyb8RoG9HBJSpbl1XfEW3+u/c+W2OHt6PAa9MEO770N3Hs71A83Jlo3JA+/hg6/hFq3aK0vp1oPKi/ci2QhXh/gM0aepahxMI0yxjDGGGNwlu6ysjo+jFw3/sbkpDtpt0nB1xlWbAEZiIspMTFppBCfRCpCcYRiiJMRh5CIUJwTcdKEpcyM0Nop5L9eHk+Y34jjwbXbtm1U4/wBNnPoBYYPH75x48YdO3b8+Mc/Pv/882+55ZZf/OIXr732WnNz8/79+++9994vf/nL27Zt27Vr1wsvvHD77bcfPHjwS1/60pQpU0CpBVt9S0sLzDrt27fvzjvvXLp06f79+7du3Qoub2AJGDt27IgRIwYOHAgTTEOHDn3uuec2bdoU9UfJZBJ6JEnk06mEx4jv0cg1HXLt+ywMfUpc2NLuKDgOXFY1TQMXP57n586d29zcfOedd44ZM2bMmDHnnHPOypUr169fv23btvXr169bt2779u2rVq0ihDQ0NMDk/cMPP/zkk0/u2rULfO5ef/31xx9/fPbs2StXrnz66ae//OUvT5o0ac2aNfv27VuxYsXZZ599+umnNzQ0xGIxIHhVVePxeCwWUxQp8pWBQQjGTiymnH7G8NlzZ02aNGHy5ImTJ0+cNGnC+PHXTpkyafq06+bNnX312Ct1LQWOCB03Tjg5dH7lr6SftDmoYzfAOMDYd1KXBIVrvNzlhfyEYnGSlxmfK16TK1xVKFxdDudnelxRKJ3peHfXVR8uFlfn84sKPWjGyGMnoCCorkuskFHX901s5Il7luvf1KPnY7ncdxpytwc55pg54tk5MtYhKyql+xrzD9U33kTCJRl8fSZ7WjZTMeyA6p7ppKlzNSb3NPR5NNfrsVyvFcWGZTS3pKHfWblcT9thoe5ljKyvnxv444PcxELxmkx4ZehfFWavLhSvyeeuCXPXFesvz1X6Ojj32fk3nExbPmHNdikPtMYjjwHTY4e42KPM0PT2PX27YvpP9Pm/cXRwvPobzBf0yNCRJRMx2NIkn8/PbZrX1Dy/ZeGCloULmprnz29pXrBoYcvCBd1dC1sWLFqwsGV+8+KFi+bPa/rnG5df9E8XKpKMREFCQq+G+oHDTs8XMwjFll2NPtgwqHW9+Ket6pHXkh9tRK2bUev6WOsG6Xfb+dZd0uGN4h83otZtqHXP+fcuI4iXevXIDRw0JJFMw/QnbNXiOE6XTN9FOdduHnISc8x/DQtKd1GBZSJax3VUVBzTjCNOREiID4yjbzTyXx1kNpipfggNjSWGaHpRFk2EZMSLUoyPp0zdABe8yNp8nO9S0q1Pbwe5jZ50WFpzMiDYCXzGKA58Bkwf7WcXj8cdx4E/hw4dumbNGiB1SZLmzJnzy1/+8uWXXz711FMPHjz41FNPFQqFYcOG7dq1a/v27S+99NKuXbuefPJJSmnPnj337dv3xhtv7Ny586WXXrrrrrseeOCB3/zmNzfffDNjbN26dZs3b3788ce//e1v79+//+6777777rt379795JNPnnLKKcOGDWtubt60adPu3bvBxgiaMYeQIoscQqlkvEumt20TJrzTqYQocDyHZJ6TOJRMJovFYhiGmUxG13VBEBobG999992f//zne/bs+c53vrN48eIvfvGLTz755KZNm9avXw9DkC1btowdOxYhRCm9//7733777a997WtBEKxatQom6bds2bJ9+/Zf/epXMKy55ZZbksnkww8/vGPHjrVr1z755JNPPfXUiy++CAsIRVG0bZsxViqVKMWwpj/S7IPAs23ztGGnzpozc8qUSdddN3nSpAkzZ06fOXP61KlTrpsyaeaMaVddeXnE8XDzKeT8r6qkRdb7kNEMpSEhGReHjkstpXnAKbcOHXnjsNO+etqQbwwafOuwYV86dcjNpw7+8hn97xowYlqfXqOI9y89qg8Xy/8elmYX6knWKBqWT7DDXOa5mNoho2Xs69TGrj3MCW7s1fcHdZW7y8HdYVEnKeq4DnbnGoXv1fX4dkN4f0PlnmrDtwaP+Pags09p6Jl3GfFMiolD2RTDu6d38fsNdQ+UG+/s0/fW/v1uGXHWadW6jOnpXka3MXbN6/oM+MapI24+bcjtQ0/56rBBtwwdetsZw7869JSvDhnyjREj5w8cPNgn1E39Ncqwc339JTFAL3HMyup2prcM8yjTI4TS6aTnta0GOWZK7O8ZkfUy8uaD+2jFKqwwZhS3EW03O5nUrjlk7bHBxgWB37YoCNgalvm2LfY9drHiMfcdwJht2+AqqWkaGCF79Ohx4403zp8/H1T5lpaWBQsWzD/utWjRoubm5ij8DTfccPXVV6uqKiJRUWLl3pXTzhlWKQ+Mo+SZjWjtkw2tO+T3NnMf7dL/uFn981bpz5vFDzbJrVu4jzag1i1q627l8Hrt1ulhX1ORBLH34B7Dhw6zDJNDSJUV7LifWuf4W0M7uzuw3NljJPB8x7ITiYQhaTySPYQWDKzbPEK9o8CfntEXD7Bu7GeP9ZWLM+L5fbKuklYFxCEUU1SKSeAzgi1GncAnBFseI76HYTESkG5k28euCVuLEOL6PnMcK5VKOI5lmxZsmIhdW9dSjm2CS7aupzF2TFN3HStqnsdhgkitB69GjJ0Oe9YWi0VRFCVBjKux1U89vX379vHjx/M8P2zYsDVr1jz44IMIoWuvvXbq1KnAxJ7nPfLII+vXr9+4ceOhQ4cGDx6MEBowYMATTzwBxvA9e/bs2bPnJz/5SUNDg6qq3/72t99+++2ZM2cSQjZu3HjzzTf369fvpz/96Z49e7Zs2QIufgcPHhx/7bhELC4JYjKeEDgeFHqBR4aeBo6vHf2w9tbkOFYqGRd4BPv2iLygaan6+vpKpQJ8jxDSNO3qq6998803N27c+Oabbx46dGj//v179uzZt2/f6tWrf/KTn7z55ptbtmwZM2YMWDu+8pWvvPvuuz/84Q8RQmeeeebatWu3bNmyfv36F198cePGjZs3b37xxRfr6+sRQjfccMPOnTu3b9++Z8+eXbt27d27d/To0VC2lNJisdjQ0JDNZiMPVphNgJY+dPhpc+fOvm7KpFnTps6aNnXm1OsmT5owfdp1M6ZPnTD+2tNOHQK++lGv9bk3kJNEPUuM9J1rMZ2SsqYktImaMdk0JmvadWl7soGmas4l2BjC8vcX3Yfqcs+VSvMqDS5JlF0cmm6esgx2Mo5Ffcez49h3Ql0fid1lvav3FcLHcrmvl0M9TJWIabPkWNv+ZrXwYH3p8cYei1w8Xo5fYVh9HSPj44pNDObEs9Y4p/ydfsVHqrm7S96NZXKVzF+ZMIbZbs41qePSLM2a2hidzjeCqTYZq2vTXGda3J4WN6clret05xqXnE/wYNeus7XPvWBPEpFfTuTd4nvU0NOwM1Ub04NfaMT0n68n0Web8w43HiNgJ4dNeCAkzK122Musy12DWI15oPZbsC6WMeL7DDbOi9DhT+/Yne98j3qeB2ZwjLGmabDwacCAAf/8z/+8YMGC5uZmoHkgcpiD7/ICQ+X8+fObmprmzJmzePHisWPH8jzPcUgQhFK5OnBI32pdzoon4ggxWfr+14r/veWM/7vWf3992LqjofU1pXUTat1lvbu1z6ZXRrTMr8Q12B2PT6St+j6DhgwabJsWj7hELE7x0fVOn3tFfyagxAbqBaa3TSspICSqCCW/WuGeOZsu7Ecv5NFtPYyVZ0iP9zRRnGs05JWnOVcPCXOcjkRBEkQ9rYWBB7ssZDNeNhMQ7Di2Hvgknwt8jxYLuTDwKHGxa/sepsT2GHEcyzT1QYMGDBkyaNCgAf379x8wYMApp5zSo0fDKacM7tOnVyIRKxRyQ4ee2rdv79NOO6WxoS5aIHBCpqfE7cD00Yx4qVTSdV2RZA6hq664csCAAbXz3Ol0GsLzPB/tfgPPLcu65pprYNIaOExVVVmWYdtd8OdHCAVBMGnSJPhJFEWYOL/ggguee+651atXv/DCC6tWrerduzdQdTKegK3o2s/RkUC0Os86QzPE2NG1FM8dZfp0OlmpVMrlci6Xy2azqqoihGRZPeeccx5//PHXX3/9xRdfXLt27bZt2+67775yuazr+v333/+Tn/xk5MiRkOZisXjllVcOHDgQ0g/rAmDtHyx7gfV7siwPGjTouuuuAwfYcePGRa/wPO/7fo8ePQqFQi6Xi+ZHeJ5PpVLgCz3k1MFz5syaNHH8pInjZ069bup1k6dMnjhp4vgZ06dOn3bd4EEDXMeCPurT+MF8foh7BvbdAsUFx/ZcnTHT8wyfaNTKUZzI2WHWdYqk/N1i9sH6yqpKqYlmslgtU6Okp+pcM0u1OlvL60nqO71Ypj5hna5Zt2Qrz+QaH670vLFYzFlmJWkQbE3A2bt6Dry73Lii94Cr68s94nKBGdTVEp7BTJ0aaYMmpyb8e6oDflDotyJXNy7nN8pCY8qsOl7BCnoaVkDsFNXAbdCnZo6ZeUezfcOlOsPpEGtZaoUME4ZN8nejyZws0/s++0dletbe60HLgV4jDDzQxcPAy2XDwGfd6fQdaZsR8KwGzR7eZRQHgQdhjrMBUZc6PaU0CALXdX3fd10X+oshQ4YsXbp03rx5TU1Nzc3NCxYsAG+7efPmdcf08+bNg3HA4sWLQcWfMGFCOp3mJBFxKBPkhw4e3q9nX9u2EUogLsggftJQY9wQ/trhicXXoDeeRh+8rr6yEi2+FA3F8cEWGnmaPvny/mpapJ7cf8jQIYMGB54vcLwsSpZhsva1m597RX8moMR2HcNjLiWuzzxD05HAJ3l0WqHuidP5ZwcKwzEZn07cOxjd3BPd1kCQjJy4fK0mjMboCpcXBAk8Wx3b9D2czXippCoKnO/RfC4DpaQqEodQOpWAogsDCnaRMPSnTp3y1lu/aG090tp6pLW19aOPPmptPfLRR4dbW4+sW/daLpdZtuz6I0c+PHz4/ffe+9OihS2wCBsEr/scue2N3/UYwdiJNroH9/tyuWxZVtu8uCACbbetzGz3L0Pt6/Hggrmb6CdZltt2tD32EBpg2Yj8IEwHj7losR+HkJZKZ4IwGU9Igijwbe73wHas81YwFDNGwFuN59p24RU43jT1YrFYV1dXqVR8328fcPCiKGaz2dGjR48cOfKss84666yz4vF47Wk6sJte9CRaed8hqZBlGPTUFgg84XkehjK2bVcqlUwmk81mo/hFUUylUr7vG4Zx6qlD5s2bM2/u7NmzZsxvmjt71oymeXNmzpg2ZfLEpnlzTjt1CG1fAR9tKvB3gYCEgRv4jo9dz6Ce7jObMeJSF1Pdl01suW66inP35UpPlHv9n3zD8kzDpfnCpeXqJWH+imxhdKl0ba5hmJfxHeGabP7yQmZMPfl60XuyWvx+z8rt+ezoHLmwLjuolz/eMe/NVx7yC/c19J5YzBRSmlmgjGIzQwhzcsTCWe1qm32pvvpIfe8Hqg3XN+QvCa2L6nMXN5bHVIoX98id11gcWAhy1M24NGMznwUaJZbv2Yy4pG0WjxGPkoDQ8HMv2JPEiZme4/5hmT66h6yBKq/raV1P27ZpmrqmpUxTN01d19OWZXQJXU/D/vzwoqGnLVO3LQOsi4xi09AMQ7Msw2i/sSzDts3uIrSPBZy/YpompRQmU0VRPPfcc2+44Qag8AULFixevHjZsmXLli1bvnz5Dd1cy5cvX758+ZIlS66//vrFixdff/31U6dOdRwHlvyEAR3Ud8jg/mcEYQEpCCXQFaPJxX1POaMx039ApV9d/VMrw9+/of3g5oZbFrorpvfb/Wiq9b+clx4/W0aowJxzh4zs37dfLpOFo8z0tAZ+H8cnm78LtMuJ076nt8sITcTiKKblEFrWt8fqM+xbA1mJoVkN6uOD0LAy05WkxPGcjGIodUma+3oD56sWjzhFktv1bGfwoAELWuaXiyWCHWD32bNmLF2y6KorL08l48VCDqaQUsn4JZdctG/fm3/4w+9aW1vffffdV1556bXXXl2/fu3//M9vjhz58IMP3vu3f7t30qQJR458+Oc///GDD96bM3umZeqBzzKh79hmd/mKpuGA6V3XFkUxIrNYLNbQ0BAEgWWY2HFTiaRj2alEMp1MGZpumxYcG6Ol0qlEUk9rtmkZmg4nGzmWDb+mEkktlbZNy7FsOPGIuNjUjXQypac1sP2kkykIY2g6RGibFnGxIskUEy2VtgxTS6UZoelkKnKvk0S+1nwdMX30bxh4rmNF++0LHB8GXj6bK+YLjfUN1XLFtZ1UIplKpHnEwSE0MDUAB/GBGCdicTgRShJEOOkuEYvDSXdxNaZIMswpKJIscLwqK3pag6xhx4V91mzTgvRDyQSeX1+ta6irr6/WZTIZ8DyA5Xbgx+o4juNYAwf0O3vUmeecfdb5551z9qgzzz/vnJFnnD5p4vgrLr+0Ui5CHqNdzT/3BnKSyFAKE/Y+abN95jApOaToZf1AC4idZ9rA0F9ZCp+uVJ4rFJ/r0eP5uobn63qsrpZ/VFdZXS2/WNf3K43lQUS+N9f449KA/9PY8weF7BONhUd7VP89aPhJrteTPQZ9oZJbmEo+kC091bP3/f0HTC7QHjGLZby8y0LCGMUZH7uhMRS78xq9+xtKz5fLP6qrPlmsPNvY+6lKzx9m654p9bmvsf+1QZjXEtRzLcd0XTsIackhJYwLGGeJE0a7dn7epfqJ+rGTYvp/SOt9B4cmRrFpaPG4Wnv6harKsAymuwtcZ+H4Do5DPIdEgYOzqA09nUrGa3UVcL05/nXsYb9tWkIikZAkCSZQEUJDhw5dtmzZrFmzxo0bd+GFF44aNerMM88844wzRo4ceWY314gRI0aNGjVixIiRI0eOGjXqqquuuvTSSx3Hga/ICp/SFcws07YUJabI4n3fH/zbA2P/a/Pgt9cO+vPWga3rk61r0cfbSu+/2dD6Rn3rwcHbn+lRLSFJ0AXOzVuMEQrWe1mUbNOCyePPvZY/EzkBOoQNvcGZRRJEFaG+QuKmvs5dF4YTVFmX0OSe6dv6JfIJyULo1Fh8VAaN76N9bVDy7j5KXGyrTUZxTJW/fNMX//PX77Z+3PrC8z/u26fXiNOHPbHqsdbWIx8f+fCVl1/kOQRzsYV81rHNoUNPfeedtz744IPDhw+//vrrhUKuXC5ec83YP/7x962tRw4ffv9b37pjxoxpra1HPv74o48//qhp3hzL1NOpBHbtbCY4fu7Aqzli+ug82VgsBrPa9dW6Hg2NdZVqfbWuZ2OPxvqGcrFUKhQb6xvqKtWGuvrG+oaejT3qKtW+vfsU8wUIBnxWLpaq5UpDXX21XAEU84VqudK3d59SodhQV9+nV2+Is65SbaxvaKxvqK/W1VWqlVK5Wq6Ui6VysVRfrYPAjFA42BYW2kVLGDpM1UPXFAaeY5u1x2FnQh8SAIksFYqhH3jUDzyfuDifzVVK5dAPysVS6Ac+8zJBCDdw8Fchly/mC9kwk8/mMkGYz+bgeTFf8Cgr5PL5bA4KpFIqA6rlSqVUrq/WlYulYr4AD0M/KOTy5WKpUCgkEolaUwFsC5gJfdPQsGsn4mpMlVPJuGObupbKZoJsJoA98iInmL+jftgIDMPTMbMosymzCbUosz3mYJbB1PUt4mHbD73RWe+qwB8bBmdlwstY9hIcjA68SxkdjfHVtFDOeSF1/skvjcf5iSy8EjvnZ+mobHAVK1xl00vC7ABmDXKNi/xwTC5/YZgbFPgFTWeei107Zzq+ZROGPcso69YQ17yUkMupe3HGvSTAF4dstO9cxuxxeTamEvYndjadLvkBxo5FTOY5DrZtajnMdj3bYRZmFiUWo383XdwnYHoYQv6DMX001wUqVDqVAJqPTtCOiBmIvDO65Gmeaz9uu/0Ar2j0UPtWbSTRfYcD2GtP/YK95XmetyyrVCoRQnRdVxTl6MFf3Y8jIgtk2561smzbtizLCi9zSORFQUwIiEcIiSKSYkiuYuUrU6zXvqvtf0Y4vI1v3SUf3sb/4Rf8ka3o1y9yN88xTsukJFnlBYTkGBLbDvgC3cg2reh4m8+9ov9yOaHEjQ7josQlLuYQQjw6W7Ie7acsPJ+GCNW7qaXD+41zaQWhsb3xV3vq/zoAPXg6v2I4uuuUZDqJBI5PJmKObeZzmXPPGfXB+3/+8x//1Ppx689+9rPNmze3tra+//77R458uGLFnaLIM0bgQKNUMj5ixPBDhw4dOXKktbV1w4YNYDoaO/bKt9/+JVD7ihUrpkyZcvjw+x9//NFHHx2ePWsGJW40/XT83EVM7zhWdCQ5x3HpdLparZZKpUqpnA0zlVIZyAy4ra5SzWWy8FMhl4eTWkqFYrVcAcqMgpUKRQgDtF0plYv5AgSulMqlQjGXyQaeXy6WcplsLpPNZ3MwJqiUyqCCF3J5eEJc3HZqHEKiwFmmDr0VNOEOM3EeI9CLRftAh4EHw5RsmCnmC/lsrlQo9mjoWSoUYXgBJF3MF2qHFw119flsrr5aB0mCFwu5PKSqvlpXyOWB+KFw4AkMcQq5fF2lGvoB3EP5QLEUcvlqtQp7/kfNEw4GJLblOlbfPr0GDuw/YEC/gQP7DxzQr0djPfj6AM1bpu61HYrzd+MH4xMcEpIjNE9oDpMAY0ox9gmmto+tomZnbVdnnu3gtOFyLsbYsSjWXTvlO5iYSZImhMgUe15B933FNXTHcLCteTjOsOH5ihnXfMfEFgn90CGm5ViGbQfMp6YfYD2ws5gEmDpZnzmUuFTHAWWhnmHxDEljO2VZMcewiO246ZSd0ojjZfKZbIkG2TDMEtOm1GsDZh4mGZfmXJZz/25slic1T59OJ1n76luQrX+AHpy1HwrC2nfShnE0qOmVSmnAgH7lcjGfz2azYS6XOXnfexhuZzIBtGFB4BRFGjCgX2PPhmp9pfbUyOisw+McEcQYy2azGGPLsiDCDqQOFA4aPxhgu7tQ+6Qg8D3EwKGkKIqighCSEEqKQiymigJCqhBXUMxLy8xERBfqskY+g/wcamR6lkiyigSOVyRZQEiQEYojkRckQQTjp21a/xgSwo6ucoxOucUUEw6hGOKGi/KDw5VxQzImEk6xkl8fffoZts2jRKUPXTaicuMA+6t9sl8/Pbu8FLc4Q+B4gUe6lsKurcjit+64s/Xj1g8/+Ojjjz/+8MMPP/zww/fee+/pp5+2LIMxks2G2UxAiWvo6aFDhx44cKC1tfXDDz/csGEDIa7jWFdccRno9K2trXfccceUKVNAvz98+P1ZM6dbps4iP9Dj5g6YnlFst++cAxLlOA74rwFVRxSVz+ayYaa+WpfLZOsqVWC7hrr6Qi4P/wI911frAs8H1gTaA1KHJ6VCEXi0XCzls7lysQRRgVqfCUIYBMDwAuIvFYoUE0kQ20xQkmDo6cjlsNa1FkyPMPHB1Uz/53OZ6HPVciWXyWaCMJ8t1Ffr4KPFfKFHQyMkBgYl1XIFsgyZgsEHjANg8AGBezb2yIYZ4O9CLp8NM2ClAKYH+ofXozB1lWqlUon2CYCr7QjgMBh1xohJE8dPnTrluusmT5w4fsrkieOuvXra1ClnjzozE/qwcw5U7t/R7FjGJhmXhoT5hAIopQ4lDmXMC/KEFijJ+W7WtfO2ZTGzhF3qEYqJFZKQOoRaHnMDjHE+9LBbNKySYWUotXzqMponFOeZk6eeaxGGC9jzfd8njmWnfWp7zDF9O/CJT7ATegbDLvOydlhygwLzsoyVbJZxqc1cm1peJt920HSQNS3smbiMQ1+3QxoExPexF522QQhzP9cNcT9pP/b/U6aPegfWPrGHXTumyjyPEonYmDEXL1t2fXNzU0vL/AULmmfPntnc3NQd5s+fB2hublrQMr+luamluWnKlEmGoQHT27Y5b96cBYtaWhY2174C8be0zK+NreVYNDc3z5w5c8mSJeeddx64EXEcVyqVxo8ff9VVV40dO/bKK6+8/PLLr7zyyssuu+yyyy67vJvriiuugH/HjBkDG+j26tUL1ie7LOZS2TZx6BUx0aW4gPg0EgUxpiEB8SpCnIRQAiFJRLzAiYgTJQ4h1RIREmNa1g09PYSlX45lm7rhM692ifPfNdqPB42OJcQeZTzikMCfqaTv729dUspqfOxUw/naiF4jC8jkeQ2hRjFVUNHFSWViYE83UExtcwKHCLFrZ4Lwm9+444P3Dh85Ah52rXv27Dn11FN1PR2GPqXYMvUw8ExDGzZs2DvvvNPa2tra2rpu3TrLMS3HvOyKS//nt/99pPWjI60f333vPdNmTId5+tbWI/Pmzk6nEuDDf0L37IjpLcsApgedHrajr1arYHOO2DHSdyMWhxugQJiBBiIHIgRGhD8jM359tQ70fqDSbJiBCEuFIlA7aN5AjcCRwPTQK8EqOxgzta1fPXZJfeAz17Fg55xo7JIJ/VKhGOnuoMpXy3UwBInYHVR2MC1kw0y5WOrVo2dkfq+1TBRyeYgH7PalQhHKAYL5zGusb8hlspA7yAuYB+qrdflsLp/Pg04f7UsIK2kbKuXJ48fNmD510qQJU6ZMmjx54pw5s2ZMnzr1usnTpk4ZNLA/+N4T7GRC/+9Jp8c281zXc2zPxtQOmBNSJyB2xjZJyLSMnQgMKzB9x68zQkpCSlxMWF73deYHNs1bhLjYxdRzLd/U3cCJewajOG+RvEvy2AlN23XtvOsazAlsbNtmgeICsyhxCcOEuF5AMpaVtV2bOkWHWIFDqOX6OqbprGtnA0KyjmvFMSX1Disbrpdlpm9nXSeHXStwsO9Q32Ge23awjecSz3aY9VcttM8QJ8X0qqr6vg+qarS45XNP+l+IWhLCrg25U+Q219lzzz132bJlLS0tLS0tS5cuCGTYYAAAIABJREFUnT9/frdb0ixYsGDBAljqtnDhQljqtnTp0rlzm3K5QmR1nzt37vz581pa5i9c2LJo0YJFixYsWNAMfy5c2LJgQfOCBYu6BPjML1q0aPLkyaqqwvC/Wq0uWLDg+uuvb2pqggQsWbJkyZIlsNyuu2vhwoWQzpaWlmXLlrWt8RV4WVVyhbxLHEJcOAfWtjQrbacUQ+aUmCokEoIkCaIsSXFBkqRYXEqkpaQma0YaOySk2bxXiNYveDWGjc+9lv9yRLkARvE96jqWLAmIQxkRzT+lfFWJYB6xND+rt/lQI3cec4fKMUlOGOlYT0MY18e/1IvLSEQcSibj2UxgplMZj7mmMeaSi/6///r14Q/e+/Dw+x8efv+G65cm4qrXvmkdfNG2jDPOOH3PnjfA8X7DpvW2baqqPGbMxb/73f89cuTD1tYjK1f+68yZ0z/6+MP33vvTkSMfzp8/z7ZN7NqZ0D/JhVgeI47jROYinudd1y2VSpVKBWg7IrnOqOW/2vvjhAdSjJR7CAwP4R54FMYQMG1fV6kSQtqT16Z+eB4FqxjpNKVIiZtIJCJ/N4RQsVgsl8vFYhHSCYOPKCX/m2hLQKmUTCahOYPJDXzvTxs2dN78pvETJ8yYNXPSlMlTp0+bNmP61OnTpk+fOW3atNGjz3dc3fPh4DtC3KNrKQl2YGkPIa7nUeZi5jo+ifY6swm1mefC6Urgqkmwgy0z47GAHnNmYyT27Qs+jzkjERoCxQR2tKRtp/A5HnMosQg2YQKbEgu7BnYNSiyPOYzagY+hb3EdC2Z8HMuGMTRsMuF7OPAJ+MSAYgmjN+za4IFIsBNFCMdDw7vYNSF5kLZIqrtbntBh4VXtPXhC1AoSxBMyCqV0dNlUzS4sAXV94njY9rDtY9vHNnExFBElbvsBvhYlFsU+IwE4icFeYey4+158hog2/gLJgTVEMOvaxvSwq0NUlJ975/vZZp61D3CA6UGzGTVq1PLly4G2YXFay3GvKABsSbtkyZLZs+cC08OanDlz5oAqDwOCaOH7CeNfuHAhjDNmz56dTqeh2yqXy01NTUuWLAHfe9hC5ziL6SHYokWLgObnz59//fXXX3jhhTzP86IgSCLzPcsyMHZgTtr3cMjSWc/JBzSkjudanuOEjptn2NYNONMJNnL3PUqJRZwktJBad2j2D7Gevtapm1EMTK8qkshLSR4NsJTLqiVPUXkejfT4+wbSW4a4/zxMRDLyNOHfLqobV0cNhAQljjiUSMSgt/IJHj7stPff+9ORjw6DI97/4+7Nw+Q4q3Pxr/beu2uv+mrpvXqdXTPSSDPSaJdl2fKifdfsoxlto12WbLCNgfAjgA0GL2DLOyZA7g1JSAi5Ae/yCgFDcgkECIEkhMAl2Jal0fz+ON2fSqMFA0HGqud79PSMeqqruqrOe857znnP5OTE5OlTVyxZBHLuYIjTKVdMxGbN6vzRj344MXFyYuLk8ePP5vPZ5ubG9evX/uhHPzx9+tTk5MQdd3xkYKBvcnLiv//7/01MnNy+fVSWxd+oTmIK0kNMD0hPMPjiyA2A7X/9FpGeoLv/U0iIT5C+6BU0TXsrSE9uPBD0JYUp2WwWkJ4cg/9I3nakpygK+ul7enp27tw5Ojraf/Y2MDDU19e3efPGYIizbM11TMfGlolJoEYonBpWYUPTFFkWYYiihQ1L10xVgbuCqIaAaJqLayOX/HAO7yTlWfAjwcKzPftayaquiaahwEx61zFTSSvpYgtruiaBIoWh12Zf2ZaJDdPQdEBBeAPM7YV3EgmpKQGDbWk+gq1WZYLrSmiQ0UglHThmYLZwXUES1ycaw87NusSZ/1xI9yYxZfA2rNVOn6Rc/Y+PX6Gy9ocwsNrU67WTSu0ETdsybRs7lonBD7hkduxcpE/E4mchPc/zMMr68qjF8y9yLeEC81yN65s3b97Ro0cJjh46dOgi0TyBapCygZ71vXv3VqtVVOcPYSe7d+/et28f/BX5E3h9of2THe7fvx8SewihSqUCs2r27dt34MABaJEHWfsL7WfXrl0gmwOfe9NNN61YsYIYGsMwdF0nihwu1i2sGabsuKZhYFXVLRNbumFr2LU01zBsDWMZY9XEpmrbkuWcpRVFCiAuA6THvkQPKYNKxKM8xSEOCQhN022ZDSMOORG0p2Q/0h58uAmtSJqjDcrdrWYTzdEBRKEgVNK5jqXIooWNl158fvL0qf/62U9379rx9FNPnJ44eXri5A9/8M/XLL9KlhKppAPWMBGPzu2Z/eqr3/jVr355+vSp//zP/3jqqSeeeOIrL7/84i9/+Qtg7D/ykQ8NDPRBe/3JkyfGxrYB859Ouf5RuRdZU5AeIZRIJHK5HCD9r12A7ue+vjjS+1+cd4ckCwBvUBSl3mSPKOpiSA+mmaS64K9SqdS5SH/pYZ4gfS6XC4VCtVoZiqIoCmMsSVJ7e3t/f//o6OjWrVsB47du3To6Ojo0NLJt27brrrsmnghbNugqapqi+m9RSNsbimyqimkZsGpiXIaONdVSVZh2n3Rrw5b8g44A1F3HInYg6dokwCN5W38T1lkaXz7EhU8hzgHJ/J47yNHydUhade0/P/r62UGCzfAG/65I3A9oDYiOz4FhcsNDySqp0yLvIfsnDg2uiaclTEMxsWpi1TAV01AMXdblBDl+UzdgM03TtDAxgH73yLExNkzLxJaJ/SdlGr/3Gv4p7L2uaudHel33i2pdDnl64gjjOtJjU+c5hmGYcDi8bNmyw4cPw2CY0dFRoOUvtPkDdJCehfd3dHSAtx4IBACtR0dHzxu+X2TnsDcg56PRKJiGhoYGGFQD4jkw5IYwCufd9u3bRwj88fHxI0eOrF69GrwQQRCgmwiqtS1dw5qaNAuGZhmGhm3LtAwTK4apaIqObdHEiqkbWDWxptuGaWEDX2By2uVxnxDHH/sMUzDAo2AAMXwQCRzi2WggQKHmUHBxObI2FV9RTV3fGi+HAxwKh2MIcYFYLJJKOrZltrU2P/nEVyYnJ37x859t3rRB4Fls6j/58Y+An//SX3+RZSgoxyuXClCr37t18/e++52Tb74BoX9dQmfizROvP/HVv6tWSvv2jp86eWLi1JunTp7YM75LlhJQpP0WK7bORfpwODwF6f3k/O+Ic+ci/ZSA3v+6houZLGjuonpf60XYe3iuyZAe2Gzb9jwvn8+/jdG8/5vMZDLQNUOQHgQzmpubAeOHhoaGh4e3b98OSD8wMLBjx45ly5ZquuS4pqaKfmisIb1pgLa5beiOa9qOYdtnQQ4gHAlssKmTsXjY1AE4yfsB7cj/AoLiuvsOEs7+x9zGFrQsYsO0sQUQDAw2vAYj4wujNQtrQA3WwM/EEOliwwS2HM7INnR47ZgGGZBBPgUW3O1kUjaciN8i+elGqL/GZ/sZZ07EMom7Q3hKyH2YWNV0ydDlWrbeVLGmYk219NrboNQaY4OU9dToEN0AjCdkSf12Vck7f9927Kw8/XnZe47jNO0MjYMvFwteo2XqyjnY1CFPH41GV69evX//fgDF3bt3Q4x+oY2E6QRHAZvnzp0LUKrr+tjYGGAtID2JvwHpL7JzcB127ty5f/9+URRBdau9vf3WW28FaIchdcDwXyS/QDL6u3fv3r59+759+zZs2BCJRGhExaMxG1u1xFL9pndU2dUUNRFVxZgYDYWCbDwRiEQ5UZMkTdd0E2PDtjTb0h0T27pLHgmzruFFyKJ39CIRg5+fcGysqPFwNMLwYYQEhGieY1iEeIQStGwJQSNEiQKHEBengzqiJRzH9WxcIh59//tu+9hHb1+9akUkHMznMol4dOOGdffc/YnbP/KhuT2zoX/MdSwxEUunXGiLb2lu7Ghva21pmtbW0trSVC4VioX8tLaWfC4jS4lMOtnR3ja9Y1pHe5uXz8KhJl0bivDfyjlOQXpBEPxI/z8bAV8I6QmNf27yPpNKg9YsQoiiLob0xIbCwDrSomIYhh/p3y6YJ0ifSqXIoAHg1UzT1HW9UChs3ry5t7e3v79/ZGRk586dw8PDfX19Y2Nj27dv37RpgyhFIaYnVLM/YsGm7mIzaeGkaeqiGAsFQ0EhFg0nErGEFBflhCTGJTGuyCLANrwG1xCeVk2VQc4B3gAvCGqqihSPRWLRcDwWisci8JrIH+mqkXRSSSflWK6pY1lUEjExHgV1sYSmqADS9WIvzcKaoemaosqiBGpLYjwBKxYNx6LheCwiSwk/KlsmBlWiWCQaCYVjkagsSmC44IChzAVGlqiKFIuGE/GomIiJiVgiHq0dcDQMCTI4NV1TZCkhJmJwRmIipiqSXw0daiBw3em3LTObSRW8XMHLFXPpYi5dymdK+Uw+7Tq2AQUKFtZSSSubSaWSTspNQq8HDIojFtIH85cO6XGdvXcsW0qIU5Fe13V/1f1lhvTgxFjYCAZ4hJAsy729vYD0BOwvUngPxfPwYvfunbt27Rgf33XkyJEFCxaA9axWq6BTC5AMkTfsGUj1i8T0xHu48cYbMcZgGrq6ug4ePDg2NkYAnpAKF9lIvmDv3r2HDx/u7e2NRqMUQolYHBumrmowbA2gTcRCXEmwTBAa+xEKUlyACiIGIQqxNCUEwyFZi2JbTNp62kpOIfFIJu9tv9D/I8vPjtbie0t1sRkOxUOSwvJcEKEYxyOeDaMgj1hEI8QnmEA4FEWKokm25WJTU+V0yjUMLRoNu66NTT2VdCAWASpVTMQIWeo6FlTkOTZWYaxNIqapspiIKbIIu0rEo4RNlcR4JByE99RkdB0rk06+xWdhCtKzLJvP56HLrgbPZ2+5+uadU4v3a3H0vEg/JdMP74SivELeSydTdeT+9UgPZ0Sy4HBGiqJ4nud5Hqmif7vCejjNZDI5pVEWau9LpdLAwMDu3bu3bNmydevWLVu2DA8Pb9q0qbe3d+PG9XPnzoE+TNPQIL2NfTZZ1xQi+x8PBkMsyyHEIMSiujgHXVMYDIcC2NRlWWQYiudZnmdJuQAYfEmSLMtyHMcwDMuyDMOQZTkej8Pk33N1O2iaFoRgNBo3TUuW1XA4yrI8TbMUxVAUgxDN0ozA8fFoDOY8keslimIkEgHhZNJwiIgwCaICvAA6jCA1GAyGeZ73HwNMHEg6LjZMcCZsbCmSHOAFlmb8IiLkUBmGiUQioigqiiJJUiQSEQQB9gmfCzKIiiRbJoaDBfNoYws6UIpeAdpQS5VyoVQsFr1i0fPy6VzKyaasXNrO57OlUqFUKuTzWXCaYbpSOuUCdXrpMfTcPP3UmJ6w9/hyybzis5Ge+IzhUIBhGFVVBwcHjxw5sn//ftCO3bMHyuPPs6B+3v8Ceufe977bVqy4Dp6fQqEwPj5+9OhNR4/eBDu8SBA/ZSMIfcstt1SrVZ7nBUFYsGDBzTffvH///sOHDx85cmRPfZbdRWD+wIEDdZdlfM+ePQcPHhwZGTFNEyEUCoWI5q4oirFYLBwOoyhCSAixvBlHFYcu6bIeDGRsNi8iXUABhFhaCEXCCSkqiXE5JgEagS98Jnf1zvcIsS/RA49oPb5Xs5mUpimWY4vxhBwKG4oaFRMRiU8oTkCMxORI0slgR3HTRiqedEwDa6ptmZZlappiGJokxiH4iMci/o+QxDhk2SGZWiOcNBWmfSctnHZsXZZ0WUrZli5LZBhlNunqskSO0LbM3zqmp2kacPG8SJ/zbefN0F8cRM+L9ADAUA9PyvGIB5BOpuoVdrWw/q0gvT+mF0WRID10AL7tSE8Oj9TK2LadTicXLJh39dXLOjunt7W1NDRUWlubW1qa2tvb2tvbFEWC0nrbMmsaD3rNpTYMTdMUA+uKJgdCAkKIRhRLMwJDB2haQCiAUAAhlqFYhgoFBVGMRyIhhqFoGjEMBc1+ALQcx0UiEVVVbdsGpFdVNRQKEb1kv4NCflOfCEDDommWZXnAe4RoMkABwB7gU1PlcDgMwxTIjQc79BMeRClkCmDDb0CwBChJy8Su7Zi6EQoEqXrv2JSN6IwhdJYuWc3HpRmGomF+RzQcUSQZdqvKiqUb2WSqUihWy5VisegVC7liwS012F7RyRfTXinvFT3PK5cKLQ3VarVcqVTK5XKxWASYLxaL5XK5WMhnMymIGci9emnsmB/pdVWzTByPxqYivWEYlxnSYx/RB4M+LWxEIyFAvuXLl2/evHnJkiWLFi2aNm1auVxubKyed1Wr5cbGakNDpVotNzRUGhoq5XKxUiktXbqks3M6QkgQBF3XN27cuH79xiVLls6a1d3W1t7Q0FStNjY2Njc1tTQ2Njc2Nl9o/w0NDY2NjS0tLcuXL9d1He7LxsbGgYGBa6+9dtGiRd3d3dVqtampCf5tvOjW3Nzc2NhYrVa7uroWL14MjCh0B8ATdYa/RVQMBRYXjH3XBG8fVm65Pr+hIX7o2tSNm9Jru7WiFuGRgFAQUQGGCfNMjIiXgQ6rdbnU3pN6JZgZA/G3hQ1bM0zLsBwjbVlZ7Jg6VjTVMDTXUgzTNVUN66xtmI6aw5ZsWZaLTayp2Kx16ei6atsY7j1S6weF/VZNq8dUFYm4/0kLY011TMNUFXhNAB66pCA7a6oKmTjw1nXRrXNq7wnSk6j6XJjPZrPZbNbfWD+lyf43QnpoTwekB0U5gvTQyv8WkZ4s4ADIlkgk4IxA3u5tR3qYcEOiWIL0uiZpqqjIcVmKKXJc16RoJCBLMVkWYX6xpim4Vhkq+5HeNHVVV1SsRaUYohElCIhmEIUCLCOFAlY0morFMrF4PBYBTQJgRxgGFDrPuEQEa3meTyQSpmlaliXLMshyQ+Miy7KSJEmSJMtyIpEIBoPkzqEohqZZQHeyKKoGn2AlYpEoJNelhEhmAlEUFQwG4/E4xBuiKIZCIfA//HH52a4GQX0E3KSNLVM3ouFITWGJ5WC2UDQaFUUxHo/DPv2OwhTIJ1wCYRQUSXYs2zFs13SybqacL5UK5WKx3NDY3DZ9RuPcJQ2zFzV3L2ztnts0fWa5saVQKAG05/P5YrEI9jafz6fT6Ww2WykX87kMVEvUkB6qEy6VKYPXQH7AiEiGohGNKJqmWZaGAgqsyWCDDO3tN8G/+2ljX0UGWPB4LEIhWuACkVA0FAgzFOvTpZ2qSF9TvT1bExfKhRBCNMuwPEeeDSkhR0LRc7Rua4tGzHn3T/nuPOQT2QB6jbjhqE5Jnc+F9R8b7R81VufrUF0AuEaIwf+G6HiTHfujPuPo2ukrZiZnJI0AzTsOde18+8i6hl3XpJsSCCEWcQhxKIAiNf9AEGhE1apyLBOaat7RC9AX6HRyz8Si4XAwFAgEwuFwOByMx6NQhqMZU8GVFC5MiTjh9+etmCMmgGA2/Ibw/ISOgvAd18MCeL95diH6ubud8gjACxiTiHyT2YC9nwLPAJOgNgMiMEWvVM6XSrliQ7Gay3meVyxkvGq26NVlZIiqDOwk52a8VC6f9UATvugV8sl0JV8CoVlIpafT6Xw+T6TvQcSGdM3Bv3ExYlraGYXK+lnbIFt2dkxP1WP6fL52GG9jUd6UmL4e1qOaC6hqhqbLotTYUGlpbpzW1tLa0tDcVJnW2tbU0OjaDowvIhfXqF/EWiGeZfOsQCEOakWTNLsJi7eW0zfmsjelMze0ZvcXUovEqEkhGSGaQ4hCghTTVEuVaylznuV4tjasj2FqGkrwZUJIEI1GTdMEzwyEhGGIgBhPkFlBYjwBoKurGlDfHCdAoE8hOhKKYsOyTDsWiRODExQCIC/YUKkW8h5w48lkUhRFYvREUdQUFUoG49FYyk1ChwXDMBzH8TyvaZrjODA6CGYzxiJRMtYItJsg6I+EwsQbkBIikAGWiQ1NVyQZnBIQ/QwHQ4amGwb2MtnGvJdPu165VGjvmLV81cL1g8s2b1+wbmj2qi2LNg7MuurabENjPp9tLOVTnldqmTbniusWrNrSdc3a6UuvaZk5p9zYUvRK5XI1n89DTgTuWPv3r7Vn+nS0SCI+GgnV7kA/0mNTtXTlckJ6v+GDBLOqSDClCoZZcQwLk6xYmhF49ryL4xhIdPHkrQzFMGcIIpZlOYblGBa8J57lBI4n68yPF9h/gBdCgWA0HPE7vzDNOhaLRaNR/7/w4rxbPB6PRqOJRALeA6QZ7JPjuLlz565evRpIAlEUKYpKBNHGRYX39gaXd0oiFw/VEn5BnuUWd+AjA5m1M8IszYUixqyFXfPmLZg9uwtsscDx8ChatQLUt/9a/y7LX8ELxTuRcJBjaYbyDxFgFUXC2MC2qSoSDF+Z0s7ux2/S++v3skk9I/wIGG/V+/qIiD1w8nAkhGYgqG8aGnRG+RUtL/IIkBdvBemh4Y2YePh9JpfN5/O5TFZT1FwuV6lUstkz+nEk707kYwvZHETt2Ww2k8nALJmWhsaa6lyhUCgUMpkMVAAAN/BrkR6fg/SmryIPsPQdgfSmqc/pnr1h3fprll+1Yf3avt4tfb1bNm1cv3XLpr6tvZs2bGxraSWlVSDraZL+T0N3sWlji2cFmmZZhCQ+cE1D6a7mhi8XG/8i0/yXycY/cdJfLlYfrnQszuckxPIIJaR4vuw1eaWiV8PsdDJl6gYJA2KxGMYYDAXP8zzPu65bqVRA54BMEICqScvEQAuDHCFkYcAjlGWZXIugEAACPxwMkajD1A1SqJHLZLPZbKFQKJfL2WxW13WoG/A8j4xF8HJ50FMCIXCEUCAQ0HVd13Wyz1AoRNSU4TjhEpSLpZSbhPLAdDJFuCVwTIteQUqIYMvJ0RoGTjtuJZ+vlIsNbW1zrr62e8WGWddv7lk90LWqb+aKrXPWDcxbtblj4bJCSxtOZqqdc7qXXX/F+qE5q/pnrxlYuHFo2fre1s45Xq5QLTcUi0XHccBLg6zcJcA7gvQk6piK9BzHEKSvPVH65VBp5Y+0SCGrvwsCNBaIzT23kcxvncl0KbPeCUr6SYCJVRXJzzFO2Zu/M9W/dFWDcZ+apkUiEZC4z+Vyu3fvHhkZGRkZ2bZt2+jo6LZt2wYHB7ddeBsbGxscHIT379y5c8eOHTNmzABHhKKo1atX33jjjYcOHRobGzMMg6ZZG4ePDM4dvyZgqQihYLONrmyJ9dgxg+UXNsu3Dun7l8coGqlyccfObTvHR/bv36vrOvjmmqLqKnyx75hZTxe5SUhNMuiPQigQDUei0SjPsxD6hEKBaDQciYVxvVvJvyyfXJf/Jrk4uw4eA2l9hpie1ELDtECoBCYMAaA+3LGklehC67eI6UHStZD3quUKxPelhiq2rVgsRiFkGEa5XM7mc26mJi9P0BqAwcvlYURe0StYJgbG1S/GV/QKpVIJKuTJh54X6RNiBJ+D9NjU37lID4n2xYsWHD50YHTb8Mjw4Mjw4PDQwGD/wEBf/+jIttGRbdPbO6BCk9wY5BYCARxsmCzNsTSHBFSh6He3tRxrLj+UTx7L5/+01PBAPvmxvP5HmaykBBHFRZCQzWaz2XQpnSwVysDWNFSqScclRKAsy47jkK9dEASQSQa4JQUWQM8Q4Cf/C5e+XCzlcrlalhAhjmF1VXMsW+B4UgMIAOzl8jAiiDh5cOeQXUGSCByITCqdTqdJml8QBFVVE4kE+VZlWQadYyJITFzPfH0QA/wSNBnh0lTLFV3VAOYphEKBoGs7hqZnk6mGQqFSqeQamxat3Txn9dauNYPdG7d1rxvuWjvUtWZw7vrhJZtG563aPGv5qlnXrZu3ZmDehtHOVcOda7Z1rty6dNNQtXNeNp2pliulUsl1XT8f8/u2Y1OoPkD9aCRUC1doRFEUxfOsoaumodiGetkgPYA6OX/AY9exbEsHPaOkizNpJ+liqHw598/J10cw3u8lJC0MCVRNEm3LBK1HbGlnxJLwWWJPxGmYsrBhyqKEDdNxHHITl0olqMmHVj0QzxkfHwcVvPNuUFe4b98+6Ly/9dZbly1bRlEUPCddXV27du3Yt2/fpk2bFEVDiJ7txj+wpX1rqyHQyLL1g6tzt6xpP7jSev+1qaPXpt6zNrFjLo8YpBmFXSN9B/Zuf/e7b8pkMgghlmai4QjE9JcBe098NZgsYhoaTFgxDU1RJED6M+kbGkliHFAZfDtyPxBqHdfZMzKdxZ9IIvcV4RIAzpOuDdNN4DaD1iNou4fUvnk2bQDOwcU9id8I6cEET1HBKxdLlmOHoxGw4AGWSzquVyykC/lMpsbzQ3gHtjufzXleLpdNp9wkAywRzUgJMZVKTWEO/L1w50V6UYoC0pNTeEcjPU0jw9AURZrZ2b5j+8hAf+/gQN+WzRv7tvaObRvt29o7PDjUt7W3Y1o7afskZ03sGPA6NKJYmkMcmstxt5dLnyvkPp1L3llIHctnH0+l7mwobxGiiEaIZtOpfM7LN5SKrU4um87BIJ9SoWhoej3ZRyUSCdu2ST1BNBr1PC+TyUBhI7D3Xr2igtRnwCAfuIIwR6BcLvM8D2fLULQqKza2WLoWfEcikUqpTLCWiCKT2kyvrpFc8y8LRXAsKpVKPB6HDCnDMJIkwY9wnxiGQSgHOBJ4DXsmUT4coVcfxdRYbcCGKXA8cPjhYMi1HV1Tyl6+UvC8Qinb2Dx3zaZZq/vmbd45fW1f+8ot3euGu9YMdq0a6Foz2Lly65yNQ7PXDXSu7Ju5emjG2m2d60Y7VmxeuLa/ZfZiGBBVKpUcx9Lr0vKXhr0nbBBB+lg0fAbpgZw0dNXQZUB609AuG6THPlEnXMt0ypoq6poEIszYVOsijgSbz/SYEiQwfSpIwKwaimwbetLChiLDrpIuBlV52A9oL5AhacTQT1lgjl3b0XU9FApBdWsmkwO1u71790InXr1B4GI1/NCUf/DgwT179hw5cuSKK66Ay8yybEfHtPHxXUeP3nDNNdeEQhGE6K5q6Kax4tVtKcSEmsrK/7dO/sDV+vvXc7evjdy8En8r61c5AAAgAElEQVRwS75vegLxlGHkdg70HTm478CBfU1NTSzLkmfDwsZlENMDQiddG9cfmFBQgGr5eDxK0pkIIZalOYH113DwHAP1iSTUxr50ALnrzrtAsNN1LBhMnko6QMs7Ns6kk9lMysKGLCWymZRpaJl00rJM17XT6SQhEgxdvfh8+vMiff2MGK9WkncGn0jYDUa8Wq64thMUAoFAgBN4hBCLkByN57O5fMHLZDIACRDwgZEtFYrFQlZJxAMsJzAsT3EBRmAQcm2HMMDEFhMwvhDS+/1vQr2A0TQMDZC+Vk/+h430UEBuGJosi7O7O3fu2NbXu2VkeHBosH94cGjH2PaRoeHRkW2bN26a3dUNjZeEibXOyNvViosphFia4Rl0KG49nsw9XMz8aaX6v9PFz7q5+5oqPYWMyjOIRmowWsgkC0mn0FDJZUtergBDCFNuMhwMAR/OMFQ8HrcsiwzJVFW1Wq0C0pMoGYATCipJoA+OIPyvl8tnMpnaThDFMawiydgwOYaFYEOSpGq5AtOAAG4L2Vwp71UKxVLe8zJZL5Mt5vKVOqXk5fJwqySTSaAK4F9FUUA1GbDfcRz4toFeArYAvAQ4VNJvCaMUawOFvYIiycDe04iKhMKOZeua0lguFbK5fKncPn/Rwg39M1cPdK7ZNmfjQOfqrT0bhuauH+5ZN9S9dqBjxeaZ6wZmrxvoWtM/Z/3IrDXDXWuHFm4ZmXvdunLbzFwqXSkXS0UPiiuNt8Dt/Y+sc5HewkYiHj0L6QWBA6R3zDOB5ttugn/HRU4baFXfYAPVtnTXMW1LN3RZVRLYVNMpGzShQASRBBC6qp078keRxXAoIHB8OBQAchWbuqaKJJqHF1PWhY6TELaA9IFAiKKYSqUBWuYA6aGJzt9Yf96+fGjlBxfhXe961+rVqwOBAEI0x3ELF87fs2f3kSOHr7zySopiaIpvMLhbd85c3ZVGiHYtaXyFduOgu2+gMHwFHlnu3tjbNgcLiKI12d29fcfY2Nj4+K4ZM2aAVY2GI0nHrUtDvP3X+ndZJJon9DsE1q5jJRIxikI8z0JJI03TiEKBQIDjOFKlAZKLsixDYtX2zfczLyDnCR+ayaRkWRQEjmVpQeDAk4jHoxxLBwO8LCXSKTebScWi4WgkxNAIJORCoVAkEmFpRhYl6Cq+yKn9Rkjv1ce5giEGtjYoBIIcjyiEeIbiWJZmgohxDVwqlQDpU6kU1NbBqNZyseTimj4VRbMIsTTNcgwvRmMw5w0MetkreL8O6SUxWhstePY8jncc0qNa2wttmrosiz1zuveM7+rdurm/b+vY6MjQYP/WzVsG+vr7e/v6e/uWX3U1SL6QdinbIGWeGjZVTZVpCgkMS8dCRytND1aL96ecz2XLn84VHk/m/qLUkqL4AEII0c05L5W1G0t5r1yq5poK+SIAniLJ1Jl+HKQqkmPjcCgA/qssJaBPjATxU1SPSAsG+Q04BLIs10ZmIyoUCGqKig0zFAiCAxGNRslI34JvBBGgMvne4Ddk6FFDpSpJEoA6lEKbpm5ZJvG8bRtD8UHeN8YQjpns1l9Hkstkc9m061gwCBHqpWPRMGRMyqVCLpP1yg2zr7puwcb+rjWDM1YOda3dOnP15q7VvTNXbpm1amv32oHutQOzNwzNWT/YvaZv9pqBrjX9s9f2L17f2zF3cSpbLOVz1Uqp4OUsy6wJ6l0SOzYF6WGJidhZSB8I8KahGbrs4vrfXJKugEtz8iTNCb90bMM0FFVJqEoCQnlAd2wqMD0JUBl8Il3VHMexLMu2beg9jcfj/tI5URSTScfQVV2TgKV3bKOeDjgT3MNuz7tIWs4wjHA4zLI8QnR7+/TDhw8D0hMa/+LCuhDQg24uCOiuWrWKZVmaZimKuv76a7fvGBkf37V06VKEaI4NqjF+T9/c0SssJ4wCKFySjJllq1EtZwS0vkc93D+nTZcRhbBh7j9w6MCevXv3jnd3dyOEaERBu8vlgfTEC/SX5kFQFY9HaRpxXK3lIRAI+Bt4Sb0egD0w8BY2QI4bdkuUt6eobWNTj0RC69evve++T376048+9tgjx47d98AD9z/00AMPPnD/o4881N01k2NpVZFue88tjz7y0IMP3P/QIw8//Ogjx44de+CBBz73J5+98cjRSqksi9LFT428OC/Skwk3xBr6YVKVFQohBtGI56tdnTMWL0A0wyBaiUlFr5TOZrxiIZPJALgCLZx0XI5CQjCABB5FIqu29oUkhaJZFjG6qhW9AoRxVYD8+qy5t470BPnecUjPcQzGhiyL01rbRke29fdt7e/bOjI8OLpteKC/d2R4cLB/YNeOnatXriKStEDa20ZNgh5bmmEquiYxNBIYWhCC79bTf14pPZpNf9qrfKpSvC+feTxfbs2ZURahEI0xrhZyuaSdLXiFXKXolbLpDDbMcDBEIQRMezAoAO0Uj0UA+SLhYNK1vXz2XJjPpjPpZKqU9+AiFnP5fDpT9gqVQjGbTMEOgfOLRaIgeSslRKie4zgOAnqAZH+0TRL2Xn04MlR0gmcAXjXcFdFoGJTsBIGDhFoiEYPYHfwP0sMJHkPeN1iB3AzVSsnChsCzIDwA85EdG2u65OWzRa+QK1Xb5i2et3br7HWD3WtGZq3u69kwPGfj8JyNw93rB7vW9M9ZO9i1qm/mmt4ZK7bMXLF1ztrBBRsGpy+9tnF6V7HUACmAbCblbxu5NKaMMMQE72SpXtMAefpgUACkT1r1JCK23nYT/LtbcOLg+Evq4M4mApCEaIVRjHUyv6asJ4uSIAgsywYCgUQiEY/HwRemaZpmOERTsVjMdV1NU1zHSqdsbKr+pL4/H+9H/bNXTZ7aNM1gMAjNKu3t02+88cYdO3bs3r0bFHYBvyHQP+8G/7V9+/bx8XEg8NetWxeLxRCiEUKbN2/ct3/3oUMHVq5cyfMBhFiJZobmVz6x0dx1RayS4VjEUzwKIXS1zb37+szmRUUZcYhBlabUDUcPH9k+vm/fnrlz5yKEeJYDpL88au9xveQe7goY3QGXLBoFLEEIoXA47HleKpNubW1tbGxsaGioVCqO40AXEEJI4FkI2QHgTUMTEzFSok8WTObQVHn79tGnnnqCSNzD2LrTp0+B7v2zzzzV0d5223tu+cXPfwaj8E5PTp44+ebk5OTExMTExMT/+/kv7vzox5obm85rR8gDT378tUgPJUvEUFomphElcDyF2LY5c+774heO/eUXEMcjxAbZkKaYyXSqUCrCrFiiQSvGExzHMAKPOPqa/r5nv/N/51x1NaJYhuFCgWA2nSnm8g2FUtUr5lJpQvyeF+llKfZWkL7WifqHivQkJOB51rJMRZEaqw1bN28ZGRoeGuzfvGnDtpGhbSMDfb2bgMCf1zMXxCoIAWvVFaxNrOqGTJCeQ/zVAvPHLclPZd3PJ4v3lnL3lDOfzRT+uLFpHQohCilxtT1dLmYymUyt79Gx7AAvQCs5NM3H41Fgs3RN4ViaoRFDI0mMZ9JJciKErodvtVoslb1CKe/l05lsMlUtlkp5T0mIwBAwDEUhJCZixNgKggAXVJUVAHKo+oTr7ncuIZoHBh4K5qWESHh7mkaappimrihSJBIC/5umkY2tSqlcLVe8Om9P9pZJpcFjIGmjarmSTrmRcBDcGpahOJZWZDGdcm3HyKST1XLFqzSWO7sWbRzoWT/YtWZw9rrhrrVD01ZsnbFucNb6wZlr+uasHZy9sm/6yi1z1g/1rBuas3awZ01vdlpXsandK1SKuayXSSddG9QMMTYuWVhPkI5kEhVZrCE9MDaJeNQ/9uetK3L8IS+I0iD/6jujmp0Fiww2HYL+pGvHYxHCvkKSg6p75XC3sSwLLmpHR4csywghWZYty9I0DWOs67ppnkXeEoNLpi+fZ2m6rmqu7QDFC0UiC+bNP3To0I4dO8jomoMHD4LY/oELbKCAu3///gMHDtxwww0w8B70UhBCO3eM7ds7vnvX2PDQQDQapmnEILYzJ75na/aWTdFD6xpn5CscYguN0Zs25Pasbs1JbERgEY2WXLX4XTfftH10x9Ebjqxfu45CKMAL0E9/yRQhft8LkJ54fjCMTtMUkmRFCDU3N/f09CxYsOjqq69etGjRwoULe3p6pk2bZhgG4A3DULFYBLh6L59tqJaPHDkMyqaqKmNs3Hjjkdtv/3Bf7xZNFaORwEc+/McTp9584/VfvfHGa5/61L19fVvHxrY99tgjp069+atf/XJycmLevJ4vf/lLML/u1Ve/ceDAgaGhofFdu//5u9878fobp09NvPLSyw2VqiKL/pyueXZfH9RSwOmAzSU8RC6XA1wEs5jLZQoZr5guerlSJpdFLGJ5jkUMFQ3v/8AfH/va3z/48tevumZ1CFE0g0JhLuflc7lcuVQoeLlcNl0qFZykCwYlwvDTuubc8eW/uef5F4/92ZcR4lCAphByHMdOJd1UspD3yl6+mMvmcxkvny0W8umUGwoFiF9F0wieTf9zRAht+KWiKARHEUKJRAJkf/xI/2uFe39/SA/KOahezhkMCmD047HI/Hk928e27dg+unHDurHRkVpMP9A3PDSQzaSM+jDZ2jW1a3cpyCjBoASEUBCFSnxkT6HwcEfDpz370RT+dK7w6ULTo9Wmu/U8TrARljZsp5gtlL18RypjWRYU50I/MI2oWCRqmbg+A14VEzEwPgLHmzqGUJgQ7OA2lYslcM4gv5NykzWKHlEcw5OmlfrTpOmalIiHGdDoZXhTx7VSu2w6l8mmkylS1Onl8knHTSdThUKhVCo5jgMqeNAOTSEkCJzjWOAt+dUUwsGQjS3wGomQLRwkKQCEIpJcJosNk6ERzzE0hShUc2tqpY62YZp6KZ9rLJaLherMhVcu2Tw0a21f15q+mau2zly1tWtN35z1gz0bhnrWD85ZN9C2eqh749jCLaNzrlvbNHO2V64Ui165lC/lvVwq7WLL0s88jJcM7Gu3jWESTgUcu1phUSwaJpHoZYP02DedicC5qtQGLUTDEdJlQRbwWnC7w7+Q3SBKcyCeDKJIgUAAISQIAgT90B3H8zz06EMnPbyGFwFeOO/iGDYSCoeDISkhChwPH71w/oL3vOc9QMWPjIzAdMve3t7BwcGBC2zkbYODg4ODg9u3b+/t7TVNE4KkkeHBG4/esG/vrv379hSLHkIICShKMVcWzKPXOXeMFfp7YvPTaPMsvW95NSOiAEIUYmVF29K7ecuWLWPbto9tG73+2utASzIejYHAxWXA/WCfd0vCR9PQQqEAEemUZbmnp2fZsmVXXnnVokWL5s+ff+WVV86dO7e5ubmlpQU0vUFxIZNORsLB2z/yIQjQX331G+3tbbNndz355FcnJk6eOPH633zprzgWJeLh295zS2143eTEyMgQ1GZ/8pP3TE5OnDjx+qlTb/b0zP7yl78Esf73v/+9ntlzZFFybee73/mniZOnJidOv/j8C6VC8TdFepJ6qCnhkeLnfNbLFdLJXLnYEAqFGI6mWSYYiu2+7b2PPv38XcdfvvOJ5z71+b9g2ADNUhSFbNttbm6FRiYw/aFQCBTTtEzmQ5//k0e+/a2PPHf8nieeuq5/kOJYgeMZhkll0oVCoZD3cqmkl8/mcxkwzT6NvJrKk6+wRj8X6bGpq6pKuHGEkCiKoPH3B4X0dUfxDNKbhlYqejOmt0/vmDZr5ow5s7s62tu6ZnXO7p7V3TWTXDVypgbpm4IpdqC0qClICCIaRWi0Km19rNL0ea/xL6tt9yVTH8wYnypUepqSCYRUWfHKFae5LKdMUNdgmJrRi4TChqYbmq6pInTQmIaWiEfBD+BZzjJxJpUmYTehfABQS4WiazuxSJSquw6gUROPxnxqE4quSRbWYtEwmFOeFXRVy6TS1UoJqjr8aftquVIullzXBXsLWr8gUhIKBMFpNgwN1Cc1TQsEAkDnBHjBMjFo8kCKAQpHagIPeQ/aDcB2sUxN+p5jaYB5bOqqIhlYNwwtm3QrhWI+X8hXW9sWXDl3zRbA9e41fV2re7vW9EGeftbqvtlrBhasG5q9fG25fVbaKzc0NLU0VPNpN5NKQxaPPJL4khD4hL2ufbRhWiYmGkGI5GYItUgYgMtsQa1yPBZhKBou+UUU68j/RkJhjuMURbEsixgUSZLAXLIsC2pNfiVn+HP4CLhN/TqR5/0sjmHBlQaHgGPYlJtcsWLF3LlzW1paMpkMdJGCkGTiwlssFpPqWyqVKpVK4PnSND1v7pwrly5pbqq0tTarqowQQhyiUFhFwTYTLWhCs6t8VzE+Mx9KxGiWoTgmFghIQiAaioQTsXgiJsJjA4+flBDBZyTzs9/Ri0hKEbDXVBnEkWiaTiQSra2tixYtWrJkydKly+bPn3/VVVfNmzdv3rx57e3t06dPt20b7odwOAiD5lpbmn7x85/98pe/mJycePLJr37966+cPHliYuLk5OTEbe+5hecobKq33vJugPlTp94cGRkC8ddjx+47ffrUqVNvnjjx+hVXLP6bv/lreMM//uO3F/TMTUSilon/8z9+eurNk6dOnXrhhReam5t/i5ge8qn+irxC3qvk85lMrlhq0HWTpxkWUYhiGztnfem7P7jz6eMf/rvj9zzzykPPv3Ll5i0UzfJ8QI6pmVQ+n/UK+WIuk3Vth0K0QPOhoLj1xiP3vfLCnc8+95Fnnrvr5Zc//LnPxUMx+HQbW00NjaVCEcwxhHRTkB4qsPyiQFMsUi0I03Ui5I587D2g+9uO9CRPDyxFKBQAcV/HxpIYl6VENBJSZFFMxGQpIYlx4BpBIJmUFlnYMAwDhp3DBHpNFbGpptJ2KBZFiA4iQUHMdDqy087dni8/3tz0qJf+k1Ljqo6ChJBt6EWvhK1kEHFEbSYoBMR4gmjG1QuGNCDbY5FoHZU5WZRSbhJa1KBDD5I7DZVqOpkC+0bsmMDxIJwHlhbylaah2JauqXIsWlOs4xhWjCdSbpIgPdAGEH9nUmnQ/0B1wVrI+juWDQVuuq5ikN+zbVVVBUEgu9VVzcvlQSaPdAqAqI4qK6DuRyMKMhTBAA/UHa5z3ZZlwleRz2Wq1Wo676WKlWnd86YtvrrrmrUL1vQtWDcwf/3QvA0jPetGutYM9ly1sm32gkLjtHypWiyWG0rlaiFXyCQtW8eWBg2i/uzw79uIkc8inwhiLRDQ1pA+FBTAg75sonlM+m4NBQrloJkqFAgyTG1IA8cJoVAkFIoEg2F4wbI8zGUKBsMUxUDKHKL57u7uWCwGgTsBdWjxBMjXdR1jHIlEGIbjOIHnAxwnwAQIluU5ThCE4HkXBI7AEABJwNY3Pznpz/mdd4PDIH9Vzw7yUETGMBTP1dz5GkfK8gwTZhHNM/CwCogPIhYhikV0EKEwQgJFwXj7miCGwLN+yosAzDt6gYEjBRzY1B0by1KCqkuFJ5PJuXPnLlq0aMGCBYsXX3HFFVcsWrRo6dKlnZ2dbW1tHR0dIDwCWoqwQ55j/viDH5icnHjjjdcguAeYf/zxx2QpkXRxLBq86cYjE6fehBz87t07eZ7VdfXhhx+cnJx48803Jicn5szp/vKXv3Tq1JuTkxPf+c4/XnXFUlWU8unMD7//g9dee21ycvLll19undb22yE9x3GFmnh3veA5lS4USinPC0diHKKCjID44MEPf/QTTz5zx/EX73r2lfuf/8YD3/72gbvuRgzPMByLuLSdKhdLjmMVi56UEKF8D6eqDz/5zL3Hn/3k08fvfealjz19/NGnnrn26pWIQizLRgJCMZetK5p5+aw3BenrPWnMxY2jbZmglUZufkmS/mCRnqJQOBwEpAf12a6urp6enq6urq6urvnz57e1tZWKXjrlaiqZjF4bz2qaZk2SUtcc0wDZfMvW1KSuilIUhTg2ggSB5dAsLbbdy3wh0/B4tmV1OS8jFItFwuFoUIhEUU1mjmVZkHmHfRqaPkVPTJWVcDAE9D4E91JCzKTSEHCDLEw6meJZDrrpwC2QRUmVFVM3HMsmPSxkz1CISsr7IQqXEmI6mWqoVCGb3tTQCGUEqC5ZD2SnKisQnoIBJxXWkDqURQmkTiGaioTClon9BH65WLKxBQdZU8QL8NAZC6qUUA3t2NgxDUg3uElcbSiWy8VMJlMolLINTY3Tu2bMv6L7yhULVm5eumF44dr+zuXrmtqm5UvlbDZbyHvVYqFaLHiZZNIyNFPSsWxitYb3l9aU4XpXOYhrYVMXOJ5GVA3pAwIHWTEyueQyWCATDT11UE5v6gbP17A8kZCKxXJLS1tTU0tzc2tLS1uxWPa84rRpHbmcR9NsIBBCiGaYmkC0KIrd3d3xeByeFowx5OkhqpBlec2aNUNDQxs3blyzZt3atethrV69FtaaNetWrVpz3rVy5coVK1Zs3LhxxowZxO/Wdb2zs3PGjBkzZsyYOXPm9OnTOzo6pk+f3t7ePu0CW2trK/xva2vrzJkzOzs7QeSS5TlRFHmejUXDqpKQxHg0EhLFeCDGhkIRlgoEhQBD1zxojkZw1sFgOB6NxaLBSDQgBNlILBoJB2G0czwWgfJy7KNS37nLqs+bIcIJMCIWLjRN0/l8vqura9myZVddddUVV1wJU5EWLVrU3t7e2NjY2trqui6YUUHgTEODWCHp2nv3jv/85z87efIEMPBf//orbW0tFjYc2xATkffeduvk5AQQ+Dt2jAkCZ5r6vffeffr0qdde++/JyYnZs7v+6q/+EuL+733vnxbPXxAJBFO285N//fHk5OTk5OQrr7zS0NT427H3ENNDJV2tAD6ZKRaLqmWxLB+gWQqx865d9ZkXvvaxp5751Dde/fjfPX3H33z1rq+98oE//7NqxwyKoTnEYk0vFrK5bNJNYkQhgOrD9zzwyAsv3/fMc/c9/eJ9z7x875MvfPr4yztvfT8KBlieExg2aZoFL1csFvNZr5CpjZ7zTa2tlRFc6HqR6lqI6cmf/AEiPXghgPSRSAiiUtM0r7zyyqGhIZhMPzY2tmPHjsHBwc0bN12z/KpU0lGVhIU1UEi0TGwYBijMW7qWsi1oHTKx4miJHDa1REIQgojleJrSKSaF0FJTXZHKlC0tQdNhmmMQTTE0uFmJRMIwDAB4UzewYfp1U0hQqEhyNBwBohHCZSkhOpYNZfOZVBqSjJBHh/+1seVYtqmfVft9dr2zJiZikXAwIHCEywwHQ45lE72meDTGUDSpiILdwrnDniFzgSEKr5+CGE+EAkHCobI0k4jFXdspFYrVcsUyMUAd0KvhYAigHZ+teQp4ASXGuiE7rlnwMg2lYkOhUCx6hUIh75WLDS0d3fPnXXld1+KrGmb2lCpeoZgtFrLFQjabcV3HhGhex7JhKSZWYV1iU0YMGrgvFjbCwRBLM2cEQMB2+8dpvNMXuMCWrkDfvKGrpmlynAABTSaT6e7u7urqmj59+owZM9rb27u7u9va2tLpdDAYJMGxqqqWZYFBcV23Wq1C1rZarba2tsI7EULBYHBsbOyGG27Yu3fvDTfccPjw4UP17WB9O3SB7ciRIwcOHDh8+PDmzZsFQYBcQEtLC+wEeuhJ4xw03Z13g3p70NTbs2fPoUOHFi9ejBBCFBJlCWPDdSzTqBUGqoqk62FDl6WEGAmFIwFBE2NiUMCJmBgNGYooxUMpx7AtDZuq7RimZUABI/jU0LlAKjwvg0XS8/CjLCWgZxfKMrq7u5csWbJkyZLFi69YuHDh0qVLW1tbOzo6WlpaOjo6QDqwxtBiA0RM47HI8uVXnTjxOkD1iROvf+hDHwwGBU2VbUtPxMMfeP8fTZw89cZrr09OTm7btg0hpOv6fffdByV4k5MTPT2zv/jFvwBK4J/+6f92zZgeD4fSKfdffvj9UydPvPHGay+++Hw+n/2tY3qoX4MW55qMeS4XiyXACiOau/PzX3johW/c/8rXP/y3f3vPE08dO/7Sh776xGe/9er4e9+HWMRxHMtQmbRTrXiKGkcUQizbvXjJJ7/56u3/56v3PPn0x5565o6nj9/5xHMPvvSNO556sqG7C9F0JBA0JKng5UqVYiHvlbIFQPpMKj0F6S9Ee5KcvaZpU/L0f5hIDyOyAOlVVW5sbCQlNQMDA0NDQ1u2bBkdHd2xY8fo6MiMzmmqJlq27rimpikwJcXGlm2ZELpAB6+JVdcxRC2uJpUEFmNyNBgUEKJpIYQ4FIyFKI4Nc0IY8SxCFE+jAJ1IxBzHSiYdwt3CU+z/hv3YHI9FggGeZLVZhpLEeCrpQOE69KcJPJuIR0G+iYTyRKmMYLNpaNDTBDYEsIdcO9M0oYeFzPcSBE5V5aRr25apyCLIXcBHYEJ16LUR7K5jyVIiFBT8RxsOBdIp19BV6JuHrHwiHvXTkORoYZ8uPjMeRtck1zGLuXQxl24qew0lr5T3cpl8qVRpbmmrNrdkC1654hVLuXIpXyrmXMdUNVEzZMsxIJQ3servr7tkkEoq0kAazsJaJBQ+C+mhWvJyQnrb0B3TwJpsW5qhy4ahWZYFSM+ybDabBfZ1+vTps2fPbm1tzWazsVgM+HOA287Ozlwuh+q9pyzLplIpyHzncrm2tjYIYiCy3759O7TD7dmzB+RrSOcbvL7QduDAgV27dm3fvn1gYCAUCsEDUCqVRkZGduzYsWvXLgBvKMKHvrsLbaRWf9euXTfeeOP111+PEKJZJhAKWjVfWE66djrlOjbO2K6FVctWbNdSNUuScDyhqKZhyrJtqNmMk05ZpqGRrBuu67STh4242O/oZfomQ+C6ZJ6hq4EAD5aoVCp1dXXNmjVr+vTpc+bMnTdv3syZM9va2qDdrrW1FW4biCkA5mUpsXHDujfeeO306VNvvvkGIPcvfvFfS5cuicciSRdLYvS977nttf/+1eTpyddee+3uu+8eGBgYGxt77LHHTpx4/fAmA5sAACAASURBVPXXfzUxcXLhwvlPPPGV11//1eTkxLe+9c2jRw4PDfbv3rXje9/9DnTiPX/82daWpt8C6SEJ5Xkeqcgr5L1CqZjLZFlExwIhRNFzV674zEtf/9hXjn/82Rfue+a5B46/cM8zx+/8yrP3PHn82FNPpadPQxRNs4ymyinblKUE4jjE8Xc88vjdr3z9/hdevvvpZz5+/PmPv/S1O5956favPPOpl/9++MYjiONZmosFAo5jZXLpbDqTT6bBycimM/4ptDRN+2Uw/PVNfqT3p7f+0CryAOlhigxCKBIJYWwoitTV1TU+Pt7X1wdjLEZGRjZv3jw4ONjf3z82tu2666/WdBFbqmXrYLLMuow5zCyuNQAbmiMrnm0lVSWHzZyNsSYrmow4JoYYAdECouv2HQXEiJyqzf/VNMWv94B9ms3kMQfVcNexVEUKBnhIbHMszXMMzzGQwqMQCggcdJMCEw4XCNQb8dlDHbGpO7ZRlw01FUmOR2MMwxBLC6WCEM0HAryiSHad+fff1SQEt7BhmRhYffKhiiwGAzyI4XDsmco7nmMYGkUjIdLRMIVsqB2hZcOkO3/BvGFo+bRb9vINpXLRK3m5QtErFIrZvJfOZtOlolcs5F3Hqs2hcCxFk0k70ttS7lZHeoUgfTgYqs2nB38HjtV/7d/pyzENx9RMVbKwauiyaeqOk2SZAKielcvFnp7ZHR3TOjqmNTc3ghoabDzPzp7dNTDQVyjkeZ4tFotdXV0kHQiWJZvNVqtVUu9GUdTo6ChA+759e8bHd+3atWN8fNfeveN7947v2bP7Iouo2Y+MjEB2APYPvwcFXAByiNovsu3btw8EdHft2nXw4MHly5fzPI9oimYZp/YoqoRetkzXMAwD65Zl6nICq/GUoxm6lHRSqqrquqqbhqoZumpYumHrCtF6gxFbVl2F+22/0L/j8s96h0AHXodCAUgDq6ra3NwMaZFZs7rBO4QMfblcBucMivRFMY5NXdeUXDb97DNPnTr15k9/+u8HD+7/8z//s5MnT5w48foPfvDP115zNTyHu3bsfP6546fePDkxMQFs/MTExOnTp0+fPnX69KmvfOX/NDZWb7nl3f/1X/85OTkBaX5YE6fenJyc+MmPf3TvPXc1NzX81ux9bRR9fX5JupDHhhlAVJQVmEj4Q59+7P7nXrzzqZfvePK5Y08ev+urT977wisPP/fNu5966bFXX13U34uEIMPy4WAoaVoUohHDFzt7HvjSV4898cL9Tzx3/7PP3vn00x958pl7n//7e5986ZHnv/HRz31WzeYoREd4HmPDzSa9fLaSyeezXqlQzqZzkUiMzDunaZakG/HZSI/rltqP9BRF/aF12Z0X6WVZnD9/Prj127Zt6+/vHxoa2rZtW29v7/Dw8LZt2zZtXheLB3VDclzTsixd17FVi49dbMKgFMfGpqnbti3rmoYtUzeSipHVdaxLmpmIRaKIpWiaRjRiWdrWtJxqpBKypikgO0NcW3LPE/j0T2qwsAEKzQTva6w7jTiWFngWxi7AaAbSKEFq3Pz2wcJG0sVw22NTB+JdURSO4/zz6RFC4XBYlkXbxq5rA/XobwcjeXpDV6EmAPL3sMBAyVICEgQQwdZq+qJhwi5Aen5KLzQUeDqWbemGqWqOiQ3DkBRRMVUowHKcZDqZK+SLDZVqY0OpXKoNCsKa7pjYMQ0yw8YxsW2Yln5GCAGbuvn7t2O+QjwdGBRAekiy1OqzOI4zDAMGsk0Jcd65yzZ0x9QMXTZ02cSqbWPTNIOhCEIoFApVKpVp06Z1dnaCXDOYDEmSGhsbjx49evToUcdxMMajo6PrNqxHFBKCgbiYYHmOE/iEJLa1T5s+fTqZnczz/MjIyO4947DG99bE7Hbv3jk+vmvPnt17945fCJ537twJ+nc33HADzJNFCDU2Nr7rXe+CMJ000xNl3AtthCQYGxvbv3//ypUr4dRCoZCmncmfkRF85Ls6y7etIzp5+P0qQ36+h/zJO3qRM/JTFLZlEpUkiBdBIsZ13Ww2m81mk8mkpmnhcJiUVjAMZdvYskxZFr/1rW9OTk789Kf/fvXVyxBCrmv/wz98C+D885//PMvyluXEY5GNG9bdf98nP/P4Y8fu/9TDDz3w2KMPH7v/U489+vBDDx7rmdPNc4wkxv/o/e99+KEHHnrw2KcfewTeds/dn/jM44+9/3235XOZRDx6kfOqo75qW6aqytBODfDDMEyhUIB6Ii+XLxWK2XxOi0RDiEEUu2j9lj976Zt/+vVvPPq1l7/wtW9+9oWv3fN3T9/3wtc++szxjz37/F1PPfu+z/0vGyd5mkECQgyKsyGEhPcde/gvvv0Pf/Ly1z7z0iufeemVB1946WNPPXP7k0999KnnPvHU8S9+/XtXbt/JC2EaUeFEpJTN53MZz6upmGVSaf+8eZqm/TnUKQs0Sc5i76nz99Nfepj3zu6yI0gfjYahSWzatGkA8AMDAxDZw+vBweHh4eFrrrnaMGUTK4qasCzTNC9oimvj6k0DYIb8qJtaQoqHw8FIJKTIoqVrjq5bqgq397mx7HnvHMun/VXr61PlcCgAbejBAA+SveY5+pJ+bqD2KGFLVzVo0oFws6Y7rhsw3j4WiUKRUIAXfoteHvOMNFnNU1FkMRGPkvJhMRHD9QL7i0AbqUmcsnMieAolX0kXZzOul0+7rg0ji0DPB0RyLgGiX/h510DvlWizwlfN8RTIeNeQXtdrAuD4conpLV1zsX7mzC3TMIxQKAIF86lUCqI0aJPL5XJbt24dHx+/4447+vv7Gxoali1b9uCDD958880A57lcrrm5uVQqNTQ0NDc3d3V1tbe3q6oKhj4ej4+Pj+87sH/Pvr179+8b37tn9+7dEGTv27dvz57du3btuJCKLeD36Ojonj17QNscIdTS0nLTTTeBNB7E9Dt37gSY9/+tn7rfuXPngQMHdu7cCYT/kSNHVqxYAXuLRqOGcaYHwy/7OgW8p/Ba+BL2g77Ndws2CPEInhCIE5OeNMLowP1DpHDJpmlKKuWapl6tlg8e3H/zze9atWpFJBJKJh1dV9etW3Pbbbd+8IMfXLZsWSyWSKezjo0T8SjPMQGBCwgcxEzAPUIvTNK1s5kUJBqDAR4ISRD24jkGtPHhgC90RudFegL2gPReff5HvlRkEWIRCqrq+x986MV//9lL//nzJ/79347/678d//F/fP7rr97z9At3PffinU88++Dxl7/w99+es3gpQjTiEMUjDjGmm7vnC1/82n/94rkf/9sLP/mPZ//lJ3/3/X994PkX73n2efirx49/c89dd8uGRSMqFA97qUzRK2QyqQshPYkv8Tn5xHc00ufz+S1btgwNDfX19UEcD3oYvb39IyMja9askuRYMoU1XTIMTdcvZt8A5msBpaYC2BtYN7CuaYqqyqahJS3sYtNUlfO66ed9ruGdkOPz/8bQVUUWJTEOqV4SEtQH8JxlN87szcTQuF+/J2vDQWxs1QQ5DFNTVFmUagJiv+GTS8ZJTPloVZGgm/Eix3bWTXW+L8TChl/PlEin65oEnRSgbF9Tvb0ksfuFl+pfxDvhYL4gVeOreUB6P5/z9h3x/8yydMUxtXqXnY6xYZpmNBoF65BOp3t6eqDaLhQK3XTTTQ888MADDzzw8Y9/fPv27R/84AcfffTR9773vVBgn0qlOjs7u7q6Zs6c2d3d3dnZ2d7e3jGtHRsmEKG5XA5QliA3QeXdu3fv27P/4P5DF4np9+/ff+jQoZtuusmyLLAOnZ2dhw8fhv0QNVzy74WS9JCh3717N8y+27x5M6iLxGIx0zTJZSXB65QwfYotwD4ujgjEXh5x/JRF4ISU52iqbFmW4ziKooAzh+qiLvACiEfoBwsGg/F4HGZvAEPL82wgwMdiEde1MTY0TYH0EMuy4XDYtm1JkhRZdB0rl01n0klIi4IuqetYmXQy6dqylACyEX5Mp9xU0nFsXCzkYVaCl89e5Fq8daQHAt9wbYGhOY67YsO6v/3uP331n39w/Ic//utvv3r8B//y8k9++tf/8J17n3j2vhe+9vGvPvvJrz77py9+c88HPhiJKxRF0SyFEH1978DL//Gzl//l357/5++/9P0fvfC9H730458+9txLn3z6+Keef+Wup5+/+5kX737+2dau2TRN8wHBUXQQ5rs40vvvwzPXy3zHID0D8rB19t4wtFwut2XLluHh4d7e3pGREXgxNDQEafvNmzfKStxNYsc1FUVyXfdiJs43D5PEoyAsY9sYHlUg5IjgoP/LNH1KfOfulryBvAcieMINTPl0/27P+iDQazuz/zoaGSZ4AATv4Ue/nXkrNsfPwxOfA8oDiTuCz2fcLnLWxCD460L8xlBVJMjimzVk0c/8+LYasXPP6CykFwRB12umgXhqb9cR/88t1cIaDKYzDQ0MsSRJMDIhl8t1d3eHQiGWZTVNO3bs2L333vuJT3zi7rvvfvTRRx966KG1a9cCl55Op6E4H1rdOjo6pk2bNmPGjBkd0y0TwxdYLBYh137gwIF9+/ZAJfyRI0cOHz6yf++BveP7Duy7oIrtoUOHALxvuOGGfD4P1mHu3Lk333wzaNzu3///s/fecXJcVdpwVVfn3F3dlTrnHCp19yTlOIqjMBpZkhVGGgUrGGOwLbDBsMviXZYXe23JBgdh+AiGBRbDgoEFHCSNsmTZxtgGHDDp+/ZdFr8va8uW5/vjdN+p6aSZkWwZ0P09P6mmu7rqhnPPc+695577QWDuG2+88frrr1f68yvT3r174YE33ngj2Blbt26FnUg2m43jRnfNKuWgEY2ij2b7m9q8l7uVLxae2kFzSFcizQVKjaHdcJocuBzjtYjZ4Kmk12kgugAs8IN7DgyJYEUQHF2Bp/0+D0szEPlYuZLCKVyZoAPC0aVwLi1b2/un9JSuW39pVa6mTA+z98lkEngRmN7uIm0mM4Zjq/fsPPPan4799g/HXnzluf/9n8dffOn4S7/+0c9/cd/Bw/sPH7nnyIn7Dx978OCxL5865fQENZharVbrLfZPHjjw5H+/duZXv3vyN6+efPHlUy+9evYPf/zmybN3P3rws0dP7j987M4jJx78+VPrdu1SazWYmqAs9mQ80Wb2vo2O/otm+lDQv/7qte+7dveWzZsgDu62rVu2Dm3eMrh529YtJVl0kTafl6Epp8/LtT/BqI6c2FrMc7RGjpbJmWadt/2YXumgpzyPUdlfOMUZza1UAUuPHpdeY02KY93KI0bRG9H23Yl2YbSPYNTiqZWdbfD2aF+ZjZ1Iabsgt4Cmzn3vsu6qa83GzHs9rFqDjTK9wWCAaaK/PqZnFQ5KHMc4a2f7qNVqq9UKy9jRaHRnLW3ZsmXevHkMw9QcQfVGo9Fut5vNZrvdbrFYLBaL0WgkSZKhaLvVBhEbIpEI+L1v3bp1y5bBgYH+RYsWLViwYMmixX1Llq1YtnLVyoFlLdLSpUuXLl169dVXX3fdddlsFnRxT0/Pddddt2vXrh07dgwODvb39/f19S1fvnz58uVLm6UlS5YsXrx40aJFixcv7uvr6+/vHxwcXLduHWhDGNO3X5RRjuzHI0Z/NUDWTC2w15jlRujJbpfTbDIYDTqzyeB02GxWs8moN5sMcIYNonNQr6AIYD80TbngVFCoQHBm9Hk5l5OsOhYpRl2wiRFeClYCbHaAhkOHmcJA3+fl0O6jVuWaENOTJKnGsGA49PF79v/kpZcPv/Kbgz97/tRLL5166ZXjL/36kWee+/zR4/9y6PD+E6f2DR+57+iJL//8WWHqbAJTEQRBBUP//LWvPfGb3/7s1/954jevHHvxpZOv/O7gS69+7fQzdz12+L4TZ/YPH799+NhdJ4f/1+c/b7RaMEJFWx3tZ+//KpkeHOm7uzqmTe2JRcNgGoZDAZpywdQOy1CU2+H3sQG/FyZ4JirPyNsOjXCqs03N+nLTzu6pna/jVZwBhr5Seu01bR1uLO0ho5mrBaMEmUQdjRs76phoeRG1N85Qcmz9DMF4tIFyckI5YVDH9++ELroYjIvpTSYTwzBotueyZ/oSoRriVGnu2W0mvBZnUa0idBotCp+kjOwI4Z+q1yqMIHCiuv8TU6urC29obAebF6LRsNfLWa1m2IeNKeI2o8c2BZochhh8sKPP6XTKsuzxeJC3IOxFQaqwaVLerNPpQHVC+8KcDZKACwp9Y/eYdFd870NZM2jIwtWG10C3fp8nFPQH/F7Y5sspOj+6HxyV2VpgUTR9gpg+4Pcidq9TfyCl8BwI7oFu8NQ2BSBPGq6mQIH+WxVqQrP3LtKhxjB/IPTJAwf+7alnDr36uyMvvXr8pZePvvzrx3/18leOHv/c8LF9x0/+y7Hjn/rxT/Y/fujO4UMbr/2AWqXBMMwTi378Cw8+8dvfH//Fbw++/MvDr/x6+De/+/qpsweOn7rr4JF7j5++d/jYZx49dPvwwW899pjbw2IE5jTbIQbqX+vsPcTIUzI9LO4EAz6Y/gXfdb/PEwkH/T4P5SadDhuYccGAz2G3sgzVZozbqguDsCn5tTqj2UBgrbpzHe+OUw8o89N0joFT8DqnYOjGV0wUyqE8ehfyuUF9of3z6xcdmnkXKnPbdEhwGUdErV6tBq9iIA2LxcJxVfmoxhr8y1foMKCnKVc10BJDsYzLYTcb9QatWoNOb4RTbRD9w5k0Bp1eQ6iNeoNRb9DpNFotCkyLaTQERIeFyVtChYE/qlYD8XGrNAyHH6vwUYMA3V8HCGMCh0jCSgpia6y2JIy4XBn7tjGhhWSU9Ho9juNms5mixvQlpaTWybdSmi/7lNS7JSpNhgIBv5dyky7SAf3CYbfabRbKTZJOu9vlREcRciwNRgCQMfyKZSiYfudquiAY8MHyP+xwQV95aocwgWUA13BCBszho23lyHMYFgjcLqfSZ6ppocbJ9MC1ZqtJR6gdbupj99534MixLx07c+q/X3viN6/+9OVX/v3nz9/7xKE7Hz207/Cxe4+f/urpp79+7PSDT52du3qN0WjEcMzGMh+9/95vPPPMj3/2y+N/+MPJ//yvQ7//fx88dgrm7T/7+OGHTpz90slnD5w+/eC3v21nGUyD24zWdDKF3v7X55HXlOk9HhbYXRL5ObNn9q9cvqxvyZLFCxcvWrB82WJZKoZDAbvNAmN9mDafqDDDmjHiHiSBE+0Ontq+G0Cd335TYRuTjQvpDc/YfT2T7rzKUHeNeWi6S3O8NVnrd42GkVIsWUVtv6e0JawMjmF6q9XKcRxyZ/jrYHqvhwZnUThilWUor4emKafNYrVbbQxFO+0Oi8ms1+ocNrvNYnXaHbSbctodLidJuyk4TNblJKGlbVYzRIE1GnTg0mmzmmE7B8ziukiH1Wp2uZwOh83ptJNOu8NuddjNALvN5HTYmgKWBiwWi8vlguj3ENhnYGCgt7d39uzZEJ1t/vz5vb29c9umOXPmwL8Qxw2F/YEomFxN1pVN3N6658ZS/l8l8aOqULrzoBG21WJCZ1zWQU3gRoMOJvA5lobpdK52yL2ntvSI/KGAs5FiUrYFumZqJ5aigT7b4O6EHtI+RmErpm+1y87NUQSuwtS63m3bvvTUU//0/R/+23MvfPWZs186ferBYycOHD/12cPH73rs8Nee/PlT//3G4Z+/8pVnngoVRQzH1FocI1Tv+/SnvnrmzJefOPpvp049/ORTD50+e/uPH7/z4JF7j5x84Imjw6/+5/Af/vzt539x4yf+QWUyYma9005m07lYqKVHXptx2F8E0/v9/qZMT1OuRQt7P3D9ddu2btmyedPWoc07r9m+85rtu3dtH9qykS/mYdAPqzxt4lU0WdQAZmKo6rHoNfGos+nr7m/15EYCbm8x1GmSpopFeV2nUiY9X9hSSCa4daiui9WZmI1qsM6WUr70sgMpNMpNEmoF0zudThjTo5v+Cpi+JRi2Glyp5u3JMSyM+2EyFcIpg0eol/P4OVYJ5JER8HvB7kYdw+/zBPxer4duAbYpRmNSchzsz4a4bDfddNOtt956ww033HzzzbfccssNN9xwyy233HjjjTfffPPeWvrQhz4EDnq33HLL3r17wS8Pfvh3H/v4ogULcQzT6/WwTo+i3SF3kivgwF+pVhsochSoWp1WDbty1SqimC+UJFkWpVw2LfAFu80CqzY4Vjsgiq4qx5qTEYXOXPBw1f5fnYxlWC/nQTQPK7IM7QaPLa42pofGQoebud2kx8MGAj7gAK+HZd0uOMYJkSLSO4jmISdeD8uyNJyuC8N6giAg4j2Ews1lsplc2mY14xjGhEP7vvPtLz315D1HT97x6JF/OTb8hbNP7//x4/cfPvbZo8fvO3X6oSefeujIyQd/+FPCTWMqlVarxlRYTJbv+9GjDx598u7ho/sPH9l3+Nhdh47uHz6+f/j4PUdO3Hfi1IFnnv3es79YunoDjqnUajXloVOZdDgYAWoMB0NwBGotVryKq9lMyNDx1GKnVIvGsmgeCyLnxONxZLsg0r18Y3ofhmHV494wzGDQBYN+knRkM6mhLYPbtw1tHdq8Y/vWoS2DmzauH9oyuGP71k0b1y/rW+J02MBLg7tEenhyBrpyDr/VjP3fAhpXPS5Vu1xaoP6uzKHNatZoasEC/5aZHoInVzVv7RPE9AAvQyMon9NaAtwt0Dw/SOP7fD673Q5z9fF4HAW+3b17N0TKgxg7H6wliIEP+/SuvfZaCI+/Z8+ePXv2vO997/vQTXsXL1yE1+bw3W43ojTv2GDXf+OoG2egsbXNagaaDwWCN91w4x2fuX3/Xfv23XnXPXfvu/0zn77tk5/48Idumj5tilZDaNQqkAFYefV62Hgs4vWwELyCcjt8XoZyO2CLPMzkk047x9KwFmC3WWDCliQdJOmAM0zZml8eTbnAB9Dn8ziddpPJwDKU02GDdwX8Xk4xcGnF9B6OYRgKQkegYT3QEpB9KpH0eFgX6SAIAlOpgpJ4z/d/8PnhEw8eO7Pv+PHbf/z43T85dN/wybuPnLjz0OH9P3n04dPPLN00hGn1ao2OwDCDwYAR6vXX3/TN40/ef/jY/UdP7H9s+MCJs/cdPf3Zg8f3Pzb8uSeOHjh+Yt+3v+vyhNRqrUZD0F4mkUpGw7F4NAanidcxPauIxIyUkrJoDMMomd7hcChnKS4j4HjAYNAP630Ag0EXCPicTntPd+fOa7YPbRncPLhx8+BG4Pvt24aGtgxes2PbmqsGkO/FpZpCuyRMf9n76eXCXyjTA+w2S9WxrBXT/zVjLNMjXkd/wieI7JvSPNes/1xMz4SVOYfDAUyfSCR27ty5Z88eODUHIuVde+21W7duXbFixYIFC1atWgXxd+F0nOuuuw5F09u7d++ePXs+8P7rl/ctMxmMwPQUNRr68ArT1wEtCSuVGhyyadBrP/bRW7/x9X+9e9/+5X3L7FZbV2elf+Xyu/ff9dBXv7z3phtoyqXVEGaTgXKTsM094PfC6r7Py7lIW8DP0ZQT4jrAIR+k0w6UH4uGp/R0VcqyJPKFQi6VSkiSUC5J5ZLk93lgkairs1KSRVkSisV8LpcpFHKVsizwBb6Yh0WlOoKvo0PE9DTtHj35W6XCcTwZTwAthQLBWCRazBdYlrXZbDihwnC1wcXs+vvbvnzk2BdPn31g+OSBwyfvGz557/GT9xw+/L3nXujfcz2Gq3GV1qQ1+mjWrDdgOIEbzMlSx788+pMvnD37wKkzB848Dev69xw58eCpp+774Q8jchnD1QRBcF42FA/HYrF4KBaPxsA1z2IyI6YnCAKmLqAtlOtNSJ253W5M4aDqdDqR58FlYfdWTA//6vVan8/jcNh6ujt377pmaMvg1qHNG9avG9y0YWjL4Ib16zYPbty1c8eq/hUgPMpJmovHpJn+svfN9w7e42uXSqZH+bTbLGrwJf9bZPpmjdfKp+OCaDR7m856talV+ArmdW1WM4xRCoXChz/84d27d+/YsQOOvFu3bl0ulwOlhqZhcRzPZrNr167duXMnbOLftWsXTADc8uGbV63s12m0WG1vhdKR+70ssu8+kH8cWv/2cIzdbtVoiJ6erjvuuOOBBx7Yu3cv8nPUaDR9fX333HPP1772tWnTpmEY5nA4OJZG0W/Y2kY4mnJBNE23y+7zMj4vE/BzoaDX6bAU8tm799/1+v/8XxTQvoq333rj9T/fdOMHacrV2VE+eeLYyMj5c2/8z8jIyJtvvjkyMvL666+PjIw8ffapZUv7gv6AMgQYkrSxg2DgRVIZ+QfH8VQiCZwUCgSj4UgiEg2Hw5zX47DZtZiKwNRmitn1sY9/8lvfuvNHP7r9kUdu++53bvvBv+97/MdrP/Ihtd+HYZheq4uHI0HOGw+GTQajVqvFcIwsix/70hc/9a1v3fmDH971wx/d8d1H7vzeDz94z+emLV6CafUYTlhs1mAsFE3FIpFIOp6IR2PpZCoWicKx6GhxAfwWlSOqumVRp9OpZHqHw4H2DSLqfdeW6hHTw9R9Mp4IBoPIeRb2wng8HofD0dXVce21u7dsGdy2bWhoaPP27Vu3b9+6efOmrUObt23d0jt/LkRfQCsXl713XAHgPc70nMIIRll12K3gM17P9H9rNKBsvMvVkFDnwPQWsxGGNR0dHbfeeuv73/9+OORm6tSpoM46OjqWLl26YsWK1atXb9iwYerUqeC3n8lk1q1bB0H0IBDvR26+ZfWqAa1ag2GY2WxG8RK4vzFj7oJgawc9sGNP/mAYCsOwjo7ygQMHPve5z33qU5+aPn36lClTKpVKV1fXP/3TP33605/++te/3tHRgUG8YdpNUy4X6YDZVxRIx+9jvR46EvaTTqvZpHORNoYmLWb97Z/59B9+/1s40Pa55549duzIsWNHfv7zn42MnP+v//3/PBcavAAAIABJREFUvfH6n2fNnP7v3334f/78f0ZGzr/2pz8ODw+fOnVqeHj4jTfeeP311//4xz8ePnxYkiTYhY9GvXUOUIjpXS4nIsXqfvp4AmgpHAzFItFUJJZOp5PJZCISpYxWi0qP4wSmVln0tqndM/M5Ua70yJWeUDhuIHR6DNNp1T6PN5vOZNO5VCLJMSz4LWIqAtfpWH+oWOlK8VJeLGeKktZgxXBMo9MaDIZAKBiJhaPxWDweT0SisUg0nUxFwxE4RxzlkHTalU5hdUzPMhQ6Dgp+YrPZEomEkukvl1MeML3f70dMj+O4VqvlOI4kyenTp77//e/btGnDhg1XDw1tBr4fGtq8beuWTRvXl0sSnLqGXH8uewe5gr8U1DG9h2NIp30M0zscjr9NpleiVanbBzhUumJO7r1exg0ucj4v57BbYUve1CndH/zgByEajyiKKpUKzrw5e/bsq6+++sILLzz33HMvvvjikSNH9u3bt2jRIgzDSJKcOXPmtddee8MNN+zatev6696/4er1HpZTqVQOh6PNURlXUNegwPQOh81o1Gs0xMc//vEHHnjgwQcffPjhh7/1rW899NBDDz/88IEDB77yla8MDg7CgovDAYvxJAzlrRaTyaifOWOamsDBldpk1C9etGDlimWdHWWOpUmn/RN///G33nxjZOT8W2+de//73+fzebLZ9N1376seWHf+zalTe/7jP354/vyb58+/+bOfPT1//vxMJiMIws9//vO33357ZGRkeHg4lUrBgn1Tpueq5gvNjWV6GDTDNnrwy4tHY7FgNB6NhcPhTCKZT6YZp0utIgiNGscwjUYDe0lxQoVhmEmnVWMYw1CRSCSTyfj9/kQikUwmIYKvQY2rMYyo7VDQ4Cq9WqPGML1Oo9UQ4XA4EAik0+l4PB6PRaKRUDQcSSWS4WBIrSIIvDrrgOO4w25VFqduKptlKKWvPpiz6Hx6KNFlXLBPxOIcxyndCAiCYFmWpumuro7du3fu3r1zx45te/bs2rFj29DQ5p07d2zZvGloy2B3VwdqRw/HuEjHZe8RV/AXBOUkEGzohc3eY5ieuzK1W4OSvFsdXdCoVSe3suWhXX6uuoHb7XLCJvtpU3v27t17/fXX9/f3EwQRCoUeeuihZ5999siRI48//vjw8PDRo0eHh4cPHz78/PPPP/rooxs3boT1+CVLloBP/odu2rt506CbdBEEQZKkxzM6OLgyJVjXasoVHGX8cAicIIri7t27N2/evGHDhr179+7fv3/r1q27d+/u7+83GAxw4KbL5WIZl8/LcCxttZg++pGbf/iD77/80q9u/8yn3aQrGU986Ka9L7/40h9+/9sH7r9Xr9M47NZbb/3IyMj5c+deHxk5v2PHNpPJwHD0A5+//+2333rzzTfefPONOXNmPfLI90ZGzr/99luvvPLSrBkzLRaLx+N59dVX4aDbYyeOp7MZIAPke9Ge6ZXzyX6vLxlPIL6HQXAqFg8EAtFkIpKIB0L+kM9rMmqNBo3NZnE5SZvJ7LI77DYLy9L5Ah8Oh5PJZCQSiYTCoUAwHk/G40mvl7PaLXanzep0mOxmB2nXGdQ2u8npsKXTyVwuF/AFE+F4MhqLRcPJZByYPhQIwh4HxPSNx/QpVRPLUHBeMGJ6vV4fjUZjsVgynrhcTI/Mpng0BofqorhYOI6zLOvxeBiGmjKle+nSxYsWLViyZFFv77ze3nkLFszfOrR508b1siQwtBtiNsCei0kLtlKNX5nG+xuBckcuLADpCNUVpm8OtrahuY7p2YbbLolHnpdx+1iKdTv9Pg8wvQrHpk7p/shHPjIwMADe+DfddNPTTz997Nixw4cPHz169PTp04cOHTpy5MipU6dOnDgBfy5cuBDDMKPRmEgkcrnc1J4pC3sXuJwkTGwyzOheskvo6fNXALQlAebbUVeBIynVahWO4waDwWq1Yhi2fv36b3zjGyRJwsorjNjcbrfH43G77C7SFgp6LWZj/8rlsOI+8vbIJz9x24H7Pz/y9sibb5wbeXvk4X/7tk6rptzkbbf9A2L666+/TqtVuyjyq1/7ysjI+ddf//PIyPmZM6d/73vfBaZ/5pmn5s+dZzQaY7HYyy+//MYbb7w9MnL0+DGpJI+T6UnSgZzdgHg4hgWnd+D7SCSSTaZC3mAilfSlYr5sIhgLZWKxdCYeDHmj0XAyGktFYhFfKBQKRRLxWDQVCkXCwVA6Hsskktl0LhpOJOLZUCBYyOW9Xm8ikQgEArFYJJdN+n1sLpsOhULxeDydzET94UQokkzEwtFALBJFTK8h1MgcQUyvdHhWyrDBYFAyvVarjUQi8XhcyfTvMtkD08PbXS4XhmHKUxAZhvH5fC6Xk+OYSCQEG9/hLHaXy5mIR9OpBKzFBPxeWEuaXBx4rkEXXZL+fsVH772POqZnaLdeTajwmmuozWbhIGgRQ3MsPXr+2xW884CIKyxDUW7SZjXDATyQqtuNWPbo0aOHDx8+efLkqVOnTp48efLkySNHjpw8eRJY/+jRo2fPnv3Od76Tz+fRVCEaSeAYZjVbWHqMy+GVHluHxlUYOOmYoiij0QgRjQiCWL1m4Ov/+k2bw45hmFZDGA0aq8UQDPg4jnHTLo+HBcd7m9X8w0d+8NZbb42MjMC/MN/+7LPPCnwBAjp94hN/d/78m0Dku3fvtNutXi/34IMHzp9/E5i+u7vzxz/+Edzzy1++MGvmdBdpS8TDv/zVcyMj5996660nn3wqm+Nhw55yZqKxdB6OAU91kCtEPPF4PJNKx6Mx4Hu0cq+chU4kEolEIh6vXiQSCQhQg1itbi08FkvEYonYmBSJxSLoTngL/AkX6WTKw3IQPRosXRWOOR02FMQazWYrNxqYTCbl7D2Bq+LRWDRc3aCfiEQTkWjyXZmoB2MF4v9ATSZicZvNplarUaRLDMOA1zmOcbmcZrPR5/O4XE6WZX0+H0VRFEX5fD6fz+Ny2zlPdcfEZe8XV/CXgjoHHdRNtGoNuIpgGIZZrWZOwfTt939fwaUFW4t65nY5LWYjBDKDQ3TA2663t/e55547dOjQ0aNHjx07durUqePHj58+ffr06dPHjx8/fPjw8PDwoUOHfv3rX3/0ox+FxUuWZR0OB7joE7jKaXdAqJbLXtj3LJr5W7gpyuXxeBiGYRiGoii1Wr1sRd+XvvzV7u5ugiBwDPN5GQi6jMZnlJsMBnxOh2361GlPPvnka6+9BjPtr7/++p/+9Kf+/n6thkinEjarGWbv//zn/wOz9xiGud3kF7/44MjI+TfffOOtt87NnDn9+9//d/jzlVdemjVzukGvZRnX737/63PnXh8ZGRkePlosCjCmHz/TI1sQmB6tagPTI7IHt7JkPJFMJhHHJ5NJ+BOGzoBUIqlEIpFKJFKJMSmWSMSAC+F+5VJ6IhbPpjNezqPCcOUhEQ67Vcn03KiDYUumj4YjkVAYYunHItFEJJqKxeuyd8kBZYGiwdvBVLLZbGCso0xCyI5QKFAs5vP57Pz58xcsWIAiYC5ZsmTBggXFYp6inRTthEM4L3u/uIK/XIA2G8P0ZrORqzE9y1BXmP7dBJx4BgtyVosJdPGsWbO+/vWvw1Lf/v37h4eHgdcfe+wxGN8fPHjw2LFjJ0+ePH78+NmzZ48ePXrmzJmHHnooEokQBPGJT3zi0KFD4LGv02jdpMvn8Sr3X11BI+omPL0emmVph8NBkqTL5QJeWXv1mv/nS19ZtGiRVqs1GfXBgIdyO2Blx+m0+/1eOMHWwzE2izWXy7322mvnzp0Dsr/33nudTmco6CeddoZ2//3ffxzc8d5669xNN93g9XK5XObuu/ehdfpp06Z897sPwz3PPvtM7/y5sWi4UpZ/+Yvn4cOjR48mEinlGXet2reO6eG0JJIk4/F4NBxRuubFIlH4pCmUNyjH9Eq0+TliYvQEIMV0MuXlPKNnPqkwFd6c6dG/jUyvIdTxmt87crxPXCg/F494LfhuIhZHn0TDEdgaoEweD+t2k/PmzfvABz4wVEvbt1+zY8fOzZuHtm/fPjg4WCpJNEOynBtF1bzs/eIK/oKg1GCg0HQa7SjTG416rsb0DA2HvbaMt3wFlxbohHKvh7XbLARBwML8N77xDQzDNBrNY4899swzzzz33HMvv/zyiy++ePr06TNnzsCkPey8Onjw4JkzZ5544olf/OIXc+fOxXH8H/7hH958882hoSGNRqPTaF1O0sOOBiG57EX+iwBNOX0+j9ls1uv1QJBGo3H5ymXf/e73Fi9ejGGY1WJiaJKmnMGgn6bdHEvHYxFYS/Z6uWKxePLkSeD4c+fOjYyMPP74436/H7baa9Sqz/yvf/7Nq6+MjJx//X/+77M/e3r48MHHH/vp8889O/L2W+fe+J8//fd/LVww/7vf+fZrf/rjyMj53//uNwefeOzH//HDJ8+c+tN//9eb515/4/U/Dx86LIsSWspVeqvVlaWR6eEs40wmk06mYGyqHNM3+peNZ3G6/f11NwAlpxJJYHqfx4t8hOE4KLvNgnwk62Ym4QId1YjV4u0Eg8FELA4lgj36EOv3HUV87K59sHUiobDdbkd5gwuvl3M4bJVKZdeuXZs2bdqxY+fOnbu3bNk6NLRty5atkEoliaKdnIfyeUfPVLyCK5gcWIbSa3WjTK/TaUA7+Fg4YJu+wvTvZmPA3lk4MA145eabb37ggQe0Wq3BYHjhhRfuu+++SqUyZcqU6dOnHzp06PTp0ydOnHjssceefvrpw4cPf/nLX37kkUeOHj367LPPQiCXvXv3njt37vrrr8cwTKvWkA6nh+Xe+5Ef3lOAdXoYmbnd7vnz5+/Zs+cTn/z7L3z+i0sXL4Few7Aur4/hOAZOLiGddg/HcByj1arvvfdeWKT/wQ9+8Lvf/e78+fPnz5//1re+FQ4FYKWmq7Pyuc/eDXvq3j7/Joqc8/b5N//Pa/9984f3Oh22nu7OX/7i+fNvnauLqzMycv6ps2eWL1saCQcRGYyT6cH5A8Mwk8mUTCbRCBgxvXICvy4gTP3EfsPNdV+1Anoy8GI8GvNyHg2hhtl7QoXhGGazmj21gzqamqeNTM+ybDAYhNwC00fDkfHk52KgrBylCwJIDkEQ4DSjUmEQI2/q1Km7d+/euHHj1q3bBwe3rF+/cevW7Vu3bh8aGtq+fXtHR9lJWhkWlPCV3noFFwuDTq/C8CrTazQEYnrKTfq8zBWmf9cANQ/TdC6yGg33Ix/5yFe+8hXwKP7mN7+5YsUK5Gb80Y9+9PTp008//fSpU6d+8pOflMtlr9cbCoUefvjh4eFhWZYxDLv77rtHRkb+7u/+Ds3ewzr9Fd0xkXZxsbVAbH19fZ///Ofvvffe/ffs+8Lnv7hqZT9BEFqtGiZaHQ6b3+fhKLfXw4aCfqfTfs89+2Eof+edd7Isu2TJkldeeWVkZGRkZOQLDx7AMQwOJ/VwjCgUZUkQhWK5JFXKciGfLcnizBnTwqGAzWp2u5yiUBT4QrkkFfMFSRDLckkWJZEXioWc22V32Ouj4XLjGNPD+chardblcjntDji/0el0Op1OkiRhtWI0OUk36QKga8rlRkDfXhDKX1Eut8tJOu0O+MputaF1+jqmb7VVpJHpbTabw+GAPLM043KSdW98J+B2u2maBpc6hmFomna73RRFGQwGrHqWXXVM5fGwdru1VCpdc801Q0NDW7du3bRp09DQth07dm7atBmYftasGaTLxnJun5fxcMyVyDlXcDHwcIxRbxhleoLAEdO7XU6/j2XoSe7uuIKJAubo4FA7yk2CXvjYxz727W9/G86q37t376c//Wmk1G677bYnn3xyeHgYhvVARRqNZt++ff/6r/8KCv3QoUNvv/32fffdh+O4TqOlXG6/13dlza89GgLMUR4P63A4MAzr7+9/6KGH9u3bt+/uux747P0rli2HURrptjOsi6JcLEMFPJyHpuw2S6GQGz56+JVXf33XXXcZjUa73e5wOG6//faXXnrp5ZdfvunGD8LR9bCTyu1yej2si3SYTQazyWAy6q0WE4qX4vd5rBYT6bS7SIfdanPY7FazBdjRajREgz4fVz2WlFWESR8n01f3d2AYjmEoOJ2SOJUh3pT72WBWAIgZAa2yN0sqDBt9EfyrVhFqFaHCcA2hVqsIDVE9MxAxvdViQh2k0Uj1cIzFYlFmGFP4G2IYBmsBdZl8J4BmSuouakN5FcokOHPMnDl9584dg4Mbt2zZMjg4uHHjxk2bNu3cuXP79u07duxYtmwpRTtZzu3hKMpNXgl9cQXjROMKPcfSHo4xGYwEXjtRUaXCENO7SEfAz11h+ncNcMip3+dhaLfb5dTpdDiO79mz5/nnnwefo3w+/7Wvfa23t9fv98+ZMwe8844dOwYXMF3PMMyjjz566623ajQajUbzq1/96vz58/fff79Op9MQajfpqmP6K6zfiDqmZ2jS42FZllWr1fF4HI4V2Dw0OK1rqixKKpVKq1W7aSfNkBxMMjudPpbxeTmadhtMeqvdRpIkwzAsy3q9XvDps1gsLtIRDgVQSHOw82ALNVh7oaCfY2l0vrCHYyACRsDnZyg64PPDaUwemqJJu5d1cRNkehzHgemrfI+oeiy7t084PkrtdWjF9ASuQivxOIahP9G/KgzXabQq/AJMj1RYHdMrgwJhyGhQvPEdAqYYuCsvIGPIqMJxjOMYinKl08ktWwa3bBncuHH90NDma665ZuPGjeCdt3nz5hUrlpEuG8O6PFy9g8IVXEEbKDuIkunNRhOBq6q2vFZDMLTby9B+jq1tqb9s07zjj8/wLi88KzdiKaN5XGRACYZ2U27S6+V8Pg/HMRCPZeXKlSMjIwsXLgS11dfX9+yzzz7yyCMHDx48ceLEU089dfToUdhM/81vfvMDH/jAZz7zmTNnzsyaNQvDsMWLF587d25k5PzBJx4z6LUqFWa3W1mWRlHEJ1dv4yopw45irGk56VqaaG7rmgkBuHP8j2JZluM4l8sFm+lHSaXmH2406EinnR17eBQUE6paGYcKWBwF2J+U3I45BNnDUV4PDVFxWrUXOH8wtNvrYZ0OmxoOqq4lYP3GgXtjugDlj+/m1t+qFBhNFrORplxwUjtwXrX2WJplaZfLaTDocKI6UYCpWua/uj2/AS2/uETAMBWOE2hMr1arHA6bz+dhaHf/yuXvv+7abVu3bN82tHvXNXBW/batW7YObS4WchxLwzl+7YUE7UQAYUOmXl0fb2X8KXtlq1+Npz9OumvXvb3uOY1qdhKqY0JA0dJQDcDeh1Zok/lxlrGupHXvbf+Epqj+kGMYhqIZkmFdLOeu7gGpMr1WzTIUYvr3iCHZSiG2r9xLjgu+S1nLSgm4YEEA6GjOgN/LMBRow3g8vm/fvoGBAYPBAD56M2fO/OlPf/r8888fO3bs4MGDp0+fPnjwIATSefHFF1988cXbbrvNZrPhOD5v3rw777zzwAP37d93J+m0q1SYw2HzKGiem9SYfry1XWP6xpvroqBMDuhRF9mgrcRplKFZlmVZiqLsdrvVarXb7bCS7bBbHXYrnBDfqFsb59CUtk7T29qLt8JicNWhRvktqwgFzvN5OdJpB6a/+DTOcf+40yjBg/1BEDhB4HabBe0+hfkPVDQPx9C022IxEUQtG+0H3a1L8c4lbIxRhen1WpfLGQj4bFazKBSXLlm0csWyFcv7Vq5YBhfLly1dvGhBKOin3CTlJsFKay8nSoGpY+hGUWzk0VZdqWlPR3LbipUn2g1bWeRNle2k9fz4FYtySIAAE65N0aYIE4KyNpSvnoRuREzPsjTLuQEOh0OlUo1heg9NeRmao/6SVobefaOkaQs1SuoEikBTLEOBFU9TrupGIxWB4zhE9iYIAmJqhkKhf/zHfzxy5Mjp06cPHz4Mg/uTJ09+//vf/9SnPsWyrFL/qnDMRTpMRj2GYQ6HDQ4ARTmfHNNP4H7FyJ6r9jc4VM19kV3iIhuuVas1Qjn+brTk6h7btGcqyt6E5tubMo1oHEa02W/t4RhYFEBMT7lJ8AMwGnRGg86g1xr0Wr1OAxdtoNOqdVq1XqepQ8vPFdBq1QjojXUv1Wt1Veg0ep3GaNCZjHqzyQBKlmsgEiiXh2NcpMNiNhoMOqNRbzIZ9EYdgs6gHcXYLCFodNp3FKhCDHqt0aCzWc0M7Q4GfLBwEw4FIuEgNE0sGo5Fw6GgPxoJOR02ZSjugN/bRk5YxTENjdQ+zv7LKsbNnto8QRs5vFS9stVYuf3r2lgG4+9K7fNT99v2I/txwuflYEqv1dzARSq3MXqmBpalGYay2+0EQYxheiD799oOzjq9NglL5yJxwYzV3dO0j7V5jo9lgl6Pn2PBSQLHsGqsAwyDNXsMw7RardFoJAjijjvu+NnPfnbmzBmIjHvq1KkzZ87ccccdMMOsVqvBJsBxXKNWIecmCCyKuvG71HYKpufAwa2KCRqqDI3gYxmEi2mvpkzcCGRco5ElQ7v9HAvwsYyHpgC14JL1aGVbtKm3C6o2peGP5hubPh/pTbRwgMwXGK8A67R6SNMMt/p2NHutMDbbCI1Phj/hfJfGRgEjDGb1URE4lqYoF027GzF+ebjkeqOuinxeJhT0whwe/OsiHSBgLtIBbpiUmwz4vUjYxinPSDc2rcm66zqldMGO0wZjMqDop+MB6jv1aFGZ4+/vjTI5HtT1BfS0VnJ7qYBkGA0A2i8QXBge1uvlIO4yy9I2m63G9KrqfnqkR7j3cHyVCyq+S472ClfZqSbXYTw0BczBul005TIbTTaL1Wax0jSNYZjNZnM6nXq93mg0Yhh22223vfDCC3Ci3ZkzZ37yk58cOnTopptuwnHcYrFA+FudTqdWqwkVptUQagI3GfUQRo1VjOYvxhgfLxRMzzKUYs75otp90u01TqJFQHN3QJOoayiVJuKqRs3e9I2TVqlt6qSJRCneAioMNT2iz8b7LxnDKeDxsAgthzsshYA4gKPcQOpICbINnhYM7WbdLtbt4ig3R7mRyTVOKK3GdwLKSKNQEICLdCAe8tZOoAeC9/s8aCYG2mg84y6lDdRm1rfpTziF+85EBa+u310q+Rl/Dx1PtUyuN41Lzi/UHK1uG2c9NDUIkDnSymKgKRdNu8G2pmm3201arVaNRoOpMBzDMY1GQ1EU7aZYmmEommNYhmk9ezNBXGSDjerK2oxE9bFIlVxSPdVecymBcoJGLcqMoRvqvm0ETTopN0lTLthwBfrN5/G6XC6fz+f3+xmGCQaDNE2DE/idd965Y8eOgYGBPXv2lEqlnp4en8+n0WgYhvF6vbCpNxgM+n0eUCLQCZU2HGRyou3YvHEbn1NbH6orMmqvSfTYuh7S3uBt1V51rTaapdY92cMxsB0ORpBoKIkyMMbIU7CakuS4WvIoEsdxHrYFWuQH7HQE5bvq+oXyczSJhzp/Xbe64ACoqSHV9CFsszG9cmytVHzofvAr9HkZNMMJt9G0G4bpYzr72MErx44SdiPNA/ejOZh6MMw7CiSr0BNHxdjD+nweKB044TIMFQoFWJb2eFhoLJalfT4PfKuUKyWYsSoRNbdyboOiXOhPJAnoZvSn8mI83adR40HkqAmhpU2seFf7zADqugOSfHRd19/bPwc9arSYrZhVgZbzWGO7QIs7GRSGgSRJh8Nhs9msVqtxosmgq8Kor35QS2q1Gsb0ODA9cDy4IrVhes5DNUerSpyULaY0iKoaodYM9fr6HcYFSa4V09er4Bb1hiy4GktxUP8ejwdF4fB4PE6nEzbdIX8i5TXs5vL5fKFQiOM4p9PJMlQw4GNot9dDeziKoUmWcXk9tMdLs5wbIrtNCE1roB6KcrGcGwlG7ScsxzVfrGqDuldU1X3NjXH87YV0n9tNKkG1gDKADPRAp9PpcrncbhIUqBtCyZAOl8upBEk6xn7ocjqdDkWy2+12u91haw67zdIUVqsZYFNcw58AdG23Wx0Om9tNgn5XWh407VZaG+NJPp/P6/Uq74efw4eNn8M1+DOCCoOoMlDbqIqcTrvDYXM4bFaLwWY1K2E1W6xmCxSBYeoVi7LXIzYNeDjkGgLDlVpTu+xWW1OAZ+U7B4vFZLGYrFaz3W4Fp06LxWK1Wi0Wk8Nhs9utJOmgaTdJOux2K0277XYrRblYlkai5XTakTg1AtqXpt1QpRTlQnTl83n8fi/YCvCnz+dBlANVihQp0l1ISJTEX2cm0rS7zr5EvbLOEr0g2lgwdf0UdbemUHY6gNNpB+my2611XWM8sFrNFovJbDaaTAajUa/VEE2haQD4ozR+3h56vV6v1+t0Oo1Ggw4/nERq5YFafaYKwwmNWqfTMQzDMazf6/N5vD6fr41G9njp5mjRchfpv4D4HhrPZrNYLCZoA4NBZ0CGzDsGQw1Go14Jk8lgMhnMZqPFYrLZLA6HDfR7Y8+pSnaLeoOZOpp2Q/h0j8cTCoVAY/p8vkAgACweDAbtdjvQDziBg/owm81Op5OmaRbYzO0mSdLtdns4BiYJIDY7TTk9HBXwc5eK6euo19MgGD4/4/MzHi/NsrTbTZIkRGFzwZLk+IE6rdVqRt2vXbuPbSYEcBDTQKAWAlepMICawJuCqCWIMAN+kWq1Gn4F/uHwHHSthFqtAmi1WrTNumnPHP++7Zphh7X3fIcb1GqVRkMYjXogGyADp7O6g6AugR3TKjkUHU+Z6oYOBoPBaDTC57BnRKvVgv4iCAJqA1UaKgLal9ZYXq1WDb0MOqBerwUYDDr4HFwLwYnPaDYZkc+hQa/RaQmNWqUmWtbnO7zRHhVQ0fTVnYQqFYYUPZJGVDMYhsHnOF69aApELVCZWq3abDba7VakmqCnoD+R6Qn2H6JbpKyUnyAGRSQK9Ol02pEVYrNZoD82VY+Thl6v1engFM8xvaloPRT9AAAgAElEQVRpL1N2tLp7LthN2nefC/bTC/5wUq9uvndjPAk6EaEalTccx1UqdfWgarwWmVmr1ep0Op1OBz2WIAjd2KTVaqHfajQadPPYG9SNqPO/HQ/gXehF6L2gLzBFz5m0+XPBWq6r8fa/QrHEgQzg37r8a7VajYbQ6TSgqpSeyWDQwT2o7Gq1Wjs2QdMYjUadTgcxWGw2m9vtDgQCcHZ4OBgKBYLhYAhOCUPnhkWigWDIy3JuJ2m1O8wOp8XhtNgdMNSoAkZXTqedJB1wQyNsNpu9lmw2m9lshoPbtS2SRqMBwQAnQagfxJcoEc0S2KE4jiMHw/G0xfhb+eKfM/7XYThR7YoYTuAqAlerVGoMJ2oWhQqIT4XhhApTEziOgyVBqAgNjhM4hhEYpsYwTIUjYasrjgolZaw6+A+xKOzuVhNqrYbQqOEagBMqnFAhm2bMVxp1jZiVlabCcaJR5+G1iPoY0npjVWNVf43NeX0RanIyuf6orBZISJbw2jYWFEqv6dOUirJaWpUKAuA03onyXPe0VplH+VHe1njdND+N2atLVRFo9jQcxzVjk1LhowEl6rnIxoVKQ9fwp7LIE2qXdyfhCjnExs2XjYV6NzPcqpUn8Rz0WzgsTavVqtXqMbZJXe2MJ0PKBGOdi7drlK9DtT/2RdVPEIVcktQmG60k44ICMVG5UZZXqUSaPhauoX9qNBqtWqNVa3QarUGnN+j0sHPJoNODqdv0/dBY48TkUlM9OM7U2LiT67GQlBpqQg+cdKq+gkAShhO4SqVSE4RGRWgwnMBwAggYh4NalcSpwnGVGkxyIPuJ1hv0jsavWv2qmr1q+Lu6X9W1hRqNFaCkmILQa0pgtBJQzV/M5KSyCE0TYqP6cjXYRnVPg7whGxT9SmlwqMZa88qCTFSWxlOWJlLU4glNy4LuQZXfWPDGPLSv81a6aEJluZjU/r3K6/b6vM1zlH+CuMIpJBN9zkTzj4RKOYOoapFaPR9JrNJKRhJbHdMrv1BeX7B1L1TmyTBE06lO+Bw62AVld3KpVc2O87eoqeCT8Td2Yw03vRlXKE10QNaY59QGUcqwoygud53o4NXZIQxGkMrZ1NZ9rUmPasxG+3I1FqrxyUggW93TPrWq84vnmEmkpjmHqsPURD0IFTjNVLsATtTESq1WjRlXjXlg48SiCscJFUSSR2KArmG2GE0kKL+q+4RQWBiNla+M/U7gozpI+UD0THxs/DuwFXCcIAhNXXu16obj7I+NT1Aq0LrntBd15evq3osr7IPxSyb6Ld4wNzP+36L8o6F23beoY9YJP+r4Tbuh8lvlK9DzEYUo71TW1UTLMtE0TnloKkjtG7qVBE4un60e2+Z+NBms/GRyb1c+dkwp4P1KsWsk2qbipawXuFAuaiofOKFaVtYLPtaIbqzNVn24fapr0Qu2RKvnoLe3+a0yEYQGFBxBaAhCg+MErNuhhYm6aTH0uWqUmKs9Slnt6Cd19mBdEZQNhzUb2bSvBKwmJHgD2bcvtVJI2t9TJ9x4bZ6zTq4mnVo9pOnywSVMqAaqGcBwFY6pidEGVVQpBgtqSppEi9powK8UYIIgxkzR12geJ1To52rV6IihsRXqmh6ulED3YDUdBKnuISqVCrKhlExCOYqonQeD4ziSfxwnGnMyuf6oUljb4+mSbV4ExYQOiLfVY8rKaVWQVgmJX5tlLKLGAXBzmwwr84MqBK/N7qD10EadqRxN1hVNNZYXLvlSWtPUqrrG/5NJvxc9CtVe+/xcsInHkxpzolar9Xq9VZFs40gkSdpsNqPRCNP1kDQaTdWPG68t4RBjl8DRn/hYRlTe07SmLmFqrAjl3NqlfRc2KQmr+yFoB2UvVfaosfG9q1Cp1HXPUdzf8kWNRKVkMvQJPmbddLQs+NgFS+Xzx18/k6g3VcMcQNOfXHJBqnujauww6J17FyQCV2k0GrPZSpIkQ9Fehg552bjfE/f506FwLhrLRqKpYCgZCKZD4Uw4EgsEkuFwKhKJBQIBlqVJp81kNGo1FoPeVHMtHG1WDMNg8N84gzJ2cIDjOE6oMBxTqQlwVUPr92NW9OHPsVq+TvEh0VKpausOCoc6+ESZJRzH1Wq1BsM0uGrs0EKlwtrNgU2uP6IHQkeAU2Vh3wdsB4DkdrthYwtN0zRNg98r2vYSDAaj0WgkEvH5fBAUGe6E3QQul8tqter1erVabWiRwKe66ecajUY1QQ2G1zgbef9AjA2bzUbTNGzHhd06DMPY7Xbw/jGbzRBmAxufqBMEofQHQhmGIxnBCxi5YSKncUj6S5Ta12ebnyDn0Mm912Qy6WteR1BeiqI4jqNaJCQ/k07wBBA85VaXSCSSSCTKilRpkToUqVwui6KYy+VSqVQymUzUUjQarY4HNBoNEgKtVovXrDmlhDXaOMqv4M86U3rSOrRRZ6lqK3wQfpyiqEAgEAwGQ6FQKBQKTjAFAgH4ed0nlhapjRkFvmkmk2k8yzmqhvkDtVoNIgWOzWazGZzsvF6vMm8ej8flcpnNZmipC+o7pVpUqVSwOxMSlAiqEbz04Vv4UHlPq6Q0MNvfX/deUDrgQA/XdQnctk0mEwQLgk/Gac+OJ3k8Hr/fHwqFwuFwMBj0+/0gBoF3LPn9fr/fH4tEE4lELleQpFJHuTK9ozyvp2vpjKnrFi0aXL5828DAUP+qjX3L1i9Zun7J0qsXL9nQt2Lj8uXr+/r6581bOG3arM6OKZJYKRTFfEbI5/K5TDqdjMZjIPmhQBC0vNfrpd0U6XCSNrvDYrUZTHazyWW3Oa0WnVZdJXHVGAlB141dG8OwqvdATdCUYz6FpGH4qMNf1fVX6UUP8/9aFW7W6xirhbbaHCaTyag3m40gGHarrb28jb8/ms1mJGwOhwO2q0SjUVEUZVlGarFSqYD2VGrJTkUqlUqgWzs7Ozs6OkqlkizLsizD55BkWeZ5PpfLpdPpbIuUrqXM2JTNZlOpVDQaDYfD0IiBQAB22bSRomAwCAQAD8xms+hpxWKxVCpVKpVSqSSKYkdHhyiKkIFcLpfNZuPxONKWTRPkIRwOJxKJbDabz+fz+Xwmk8nlcvCEfD4vCIIoioIg5PN59HnmXUyt6rnxhsb7c+NI+XwetVoulxMEoU5I6lJ73h3PT5AsKUULyR6vSIIi1f0J7QJCLkkSXEuSBH9KkiQIQpXpsdrMjMFggK1QoIgpikJbtGOxWLyWYrFYLBaLRqPg8p1IJODPQCDg9XoZhoH9x2AAgtaeUELblx0OB0mSHMeFQiF4b7FYLBQKPM8rO20re6dVavqTcrlcbJEKLRIIB8hHKpWCykkkEslmKZVKJRIJdA8UJ5lM5nI5nucLhQIIWSaTKRaLlUqlp6cH6aBKpSKKYj6fh4c0fT4k+DaVSqXTafgXHlgoFPL5PMo29IRSqSRJEs/z4yksSq1qqVXieR6ED4rZ5gkgwblcrlAoyLIMCqWzs7MuA/laapXDVl/Jsoy6brlcLpVKdR1snGmccoXuL0myJEmyXJblclmUuvjiHElY3FFaM2f2+t75Gxb0rp07Z2DGrP5pM5b3TO3r6lkxbcbK6TOXTZm6qKNzQUdHb2dnb3f3nM7Oilgsi0VZEmRZlMtSNTOlcqVS6uysdFRKZVEo83yXIPaIUrcgLpwxfcH0afOnTpnZ1TGlJFXEYlkolIVCWRTKoiDkc6lYNBLwQyRmD00FWDbk8UCsRtJpJ2ubkmmaDQRCqLOnUqlMJpXJpEp8viIWO2WhWxJ6RGGqLM0sl+d0ds7o6Jxe6ZjRWZnd1Tmrs2N2R8e87u5FM6atmDWrb+bMmV0dUjFXLOR4vsDzBWj3pmmi/TGfz8O3oNxBU1cqFaQKQfGJYxPSnuj50C/gK8gJqFF0JwgqfAgiVKoluZbgIZDksanOdFCOyZrKmNI6qUpUqQS2C+RKmSXoaEjXw1uAOVpJMhg06LGyLEPZEVWgqmu8Vib5HU5Si9RYvZBa3d8mKUsHHNlIqyjViW6r2+pIulG86zKApFFZt3X3tPpKeQM8pFAoiKKIYbUpvlAoJAhCoVDgeR7qtFQqCYIgSRLIIkhDpVJRSjN8BR9CjYuiWKyRcV1fGn+qqzhRFKFL8Dzf2dkJr4B3jbN+39GktKFkRTduFMRSSZJlsVSSOjrKHR1lWRYlSZBlEWobunS5XEYSpnwsejjYgEqZRu9SXjRey7IMHRsMf6HWk1EpkIi0KelEKyeRSIDx5/V6wVCDAUfTR/E8D6UDpeP3+00mE0mSTZ88zqYXmyVhbJe7VKlpJnmeF3nouoLIS2VenC6KS7o6r541c/OShZuXLNywYN7qWTNXTpu6ctrU5VN6lnR09VW6l3f2rOjuXtbZ2dfd1dfTvbCzc7ZcmlKSOiReFPKCUBRlQZIknucLuXy+kBaFfIcs9FTkOVO6l8+du3bp0o3Ll2/sW3b14iVXL106uHLlxpUrr1q8eGDhwquWLlm7rG/d8mVrl/WtWrRw5YLegcWLrlq6ZPWSxQMLF65esrh/4YLeGdN6KnJZLJaEgijkCwW+VBoVTkmSymW5XJbnT52yYPq0xTNmLJ0xY+m06X3TZ6yaNWfNvN5V8+evmj9/9YIFVy9ecvXixVcvXLhuwYL1ixZd3btgYN68Od2dUiGbz6V4viAIRUEoTkSg2iVJkqATgTpS9o46kWuUQKV4KIlcUpjCrRq6zmJA9zTeX/d8aaw90UqcWnWWYrGofHvdb5Wf15Wx7k9kZNfdoFQOylc0Lf4klMOlSk3rrbHLTyhN9FfjeVfjt42iIiqYu9VzWkljYx7QNY7j1Tl2v9/f0dEh1PFWuSTKkiCNSqQgCJIkiVJJlEqSVBJFWRAkQZBEUZbFkshLjZAEWSiKyj8lQa5eF0S5KJV4ucTLclEClHi5lnsJwPMilE0Qqj+XxVJJKpekDgCMlupQksoyPLoRLZIg5icEnhdR8SWpJEmlujzAh1BRoijLclkU5WJRKBR4QZAkuSyXKqJU4nkRgB4FvxUEQeQFqchLRV7mhZIgliS5VKpWPoIslqq1KsqiqKheQQaUpA5JKAtFWSjKIl+ShLIsVmSxMvrDsa1TrXYFam1RRBBFfhS8JIoyjHyKvFjkRblU4XlRlAWz1YThGE5gKjVhNpthviGTStNuykE6nZTbQTkpxk1TTrfL7qJIinGHo6FcIeuiSLWWwFSYzqBNxlOVUlkWpUIuDwPBah54oSkuqNqQkDemujFEi7GFoIQsi4CSJCPIolSCBi6Vpc5KXuB5vlARiz0iP6skL53SvXr2rKt756+bP29g1uy+qVOX9PQs6Z6yoKt7brkyuyzN7ywv6upYWCn3luS5sjyrVJoul2uUkxckXpbFkiwKfKGYzXQL4tyeKcvn965Z0nf1shWDK1ZtXjmwpX/1toGBratWbV+zZtvatVevWL5iXu+Keb1rly7bPDCwZfXqLatXbx4Y2DwwsKm/f+PKlRtWrNi0YsWmFSsGV64cXLFqXd/yZfPmz+zsKfOiIBQFiedLglAW5bJUksWKIHQU+XmVrt7OroXdPYu7ehZ3dy/u7Frc2bGks2PxlKlLp01fPm1G/8zZa+b1rutdeNXc+Sumz1y3YP6KWbMW9HTPqJQ7ZEkUeV4UeHkMDSuJShKaA7VvHbHVKXpovlKpJJXkplC2FzQZoKRIYxperNnNJVmqfVOWx4zjxyQZ1CcvibwsCSVZBJTlUlkuwUtBQuBPqSQqIcoCXJSFUodUqYjlslyRBFEUxer4u5V+u1QYTU0UrELT1iqw1T3vdD4nX666JDZFWa7IcllSQJbLstRRFkploVQRyyWpDE1Za9PKJUFJKpekco3sqteyWBJFHjSPIPFFgS8KvCCJcrlUZyKMar8ir8JqTB8Khbq6upBZIdbG/vCJcg62KPCgxQCSIIq8wBeKfKEoSKISvCgAgL8AUklG16Is8TUUJbEoiXz1HpB1ZbcUpdLoA3lRKIhCXuDzAp/ji0KRbwrEoA1onqSxDKqk0haQEOo1kTIbhSIgn81JglgpldHAXaiN3ZUmc7E22Q7VIkjVr/LFQqaQzxTy0LqN4KUcoChmi2IW/Znn0wUhA5/AV4KcF0uFgig0RVMKlCRJEitNgZpbLJd4WcoLvFCSi5LI87zVasUwDM7dwTBMQ6hVGK5SqQ0GE4apCI0a+X+hRWII6KHCcDjQD8cwv98P2g2UKZgXsnyB2UI0kdVoC9cZvK3kobWcNCenRrMdyEaQxFwux+eynUJxRqm0qKurf/q0q2bM2LSod8uyxRsWzV8+dcr8sjyvVJpbLs+SpJ5CfjrPzxb5OQI/SxBmCOIMsTRNKom8IIuSLAmiUCwWclKx0ClJMzo6l82aedXCBYMrV2wbGNi+evXOq67avXbtnnXrdvSv2nnVVTuuumpw+fKBefOWzZgxMG/eYF/fjoGBa1avRtgxMLBjYGD7qlU7Bvp3DPRfs3r1zquuumb16sHlK1YvWLB01qwZlY5uUZKKBYEvgJUtCkU+l53GSzPE0my5NK/SsbCzc1FH58JKx8JyadmUnuVTp0AZ182evX7u3LVz56yZM3vd/N618+YvnzlzdkdHlyCKQlEQBF6sdgHElI3zk01NtLqGlmuz66gJUD9qs1qkbDv0Z9N7eJ4X+eptBb6Yr60h8M0Wo+qe3ChjdTe3mTMQRTEn5AtSMS8WClKxKPAFvvpva/12aVCvUfmCwBdEoQjaJl9VOwWE1j3mnc3nxNEiFeWmEGotU6w1o1DkRV5Q6t68Ajm+2BSFiaLGcXmBL9QoL8cXqwM4UZLFUf3GK3ikrr+MMj2O45FIpLu7GwQOvi4UCiJfneAtFotFgQeSLvBFVAkFqQgAe79csz2ABuXaoFIUigDlYF8UikJZ5EvVQTsvFgWp+thSsSgXCjCWlYq8yFft4g65BOYwvEKSBEkuilJBOcASZQXqjOQaWnwstrx/rEE3CoX1DfQDY02wBMfkRBZEWRCEYqkkVTrLpYoMpRZlQS5LpQqM4ceY86IswCBbFksdUqVDOQ4QhaZoZcIWCzlJ5MslqVKWYZBRkkW4bo4Wtq2y7Mr6kSWhXJJQNjpkqbMk87lsd2eXz+M16PRGvaG6rxpcwnAMwzGdTqdWEQSurm5DINQ4jgPBq1UEcuZyO5yZTArWakRRRMtvsiy3pAJZUtqacC3KEvypNDThHqV5qvxWeVtTE1b5cFEendqByRU0PVMqVUReKhWFbkGcVSr19Uy5avas9XPnrp4zY8Oi+esXzuub2jW3Is+tyLPL0jShMKNUmlOpzKtU5pRKs0qlGaXS9HJlWrmzLEqdpXJXuVKRxIogTC2VF86YuWrR4k3Llg3191+zZs2uNWt2XnXVzquu2rVmzZ41a3etWXPt1VfvWrN647Ila+bPXds7b/PSJdtXrrhmVf/OgVU7B1btWj2gxLb+Zdv7l23vX3bNqv5dqweuWb1q68qVG/v6Vs2a19s1pYsXhGy2kM/C2oEg8d2C2MUL3UVhGpgjgjCT56cXCr2ysEgWl1ZKKzo7+ru7Bqb0rJk5ff3c2atnzl47b37/nLlzu7q6BLEk8FULsmbQK6talJtPqMiyrBw8KJtDLpdKlTJABh0hS22eU2c6KOUHDUugAQGSUHN0gikBWP+udDSdEALLA30oKiaWlPcrf1iXn9FU4uWyIMlFUeRLslgWhZIglkWplb66ZKjWQ1V9IYWiNPNrgx6+JPONGq+9Hr5smGg+ZUGUBb4k8KVaVYBKrCnMKhlV0W5oOCE0ambgQaBTkRckQUTTUTDZg4YisnLRSjmmDwaD4PoE98GIE2i1aixLolwuCSW5II4ay5lcNpVJJ9MpQDqbAaQyaQT0eSaXrUM+m8tlsvl0Jp/OFDLZYjaXy2Sz6arPZCabT2dyqVw+lcun87l0PpfJ5DKZXDqbSWYzyVwqmUslc4lkLlFIZeAh+XQmq3B0zWYSzZHONUeL+3PZZHNksoBsejQDypxk0xl0Ty5TLW86mUrE4sl4Ip1MVTOaSgPg/nw2B1B8UMjmc6i209l6JHOpVD6dyRYRUlkeIZbKJrOFdJ5P5/lEJh9LZePpXCKTh1aDZkrUEE+nsrUWQYDioILX1U8ym0nnc5lcNpvPVXOYz8XTqXy+6PX61Wot7DvQaDQYjumNBozAcBxTY5gOw3QYZtbqMQzDVASEUgHiV6s0apXGbLQk46miUODFYjqbymRShVFHyGIrH1oYcuUKeYR8sVDgiyCE2XwOPkFQ3tmIbD4HGP0wX8wXeEAuX6wKajoL8qkEvCyXK6STmVwqXcrlZ5bLK2bNWrdg/tp5c1f3zl0+a/qskiwm4/lIiE/EhHSikIhlwpFsJJqNRFOhQMIfiAYDoUAwFAiHgyFANBxJx2NCNtsliNPLld5pUxfOmL541szFM2YsmDq1d8qUBVOnLpo+HT5fOmvW8rlz1y1bumPtmvcNbnrf4IZd66/etf7q3RvW79m4QYmdG9ft3Lhu1/q1ezZueN/gpvcNbrp208Y9Gzdcu37L5oG1y3sXTevu4QvVaswV8mIhL+RzYi4n5fMdfGGKJE6X5Znl8pyyNK8kLegoL+3u6uvpXj51yqqZM9b2zlszr3ftwkX9vb3zpkytCEIhn83VKgmANAM0UEsnbMVP0K+y+RxonmQ6lUglQbCrn7dI6IfKV2dyWaTQoGsgtZZJVZVL9UXgaZtItvYVzyMByGbzSB6QbkTaMp3NZPM5dCdCJpNLp7OZXDqVSSZS8XgykcikU7lsIpPNFIqt9FJLvTdB1MQ4k01nsplUPp3KpxP5dCKVy6Zy2Uwum85mQPkkcqlkPp2tKb16TPC94ynXRZW9hf5v9czRBq2VKJ9O5Wu8BrWRymVTuXwym0tmc0r6UwIJUh1a3V+r4VH2hJuRXBUKvFDkq3wvV51G65hekiSe50fX6X0+X6lUQjMA1TETL8CElShWhzI5vpgtFjI1rsglMtl4Oh1NJsPxZDieiqabIhlJJMLxRoTD0XA4Gg3HEuF4MpKIRxPRaDwcjsZDsVgkHoskAZFwIhKJRSKxVCCRCCbioVgiHI9ForFINBEJJ6ORWCwRiyWisUQ0Vn12KJEIJRLheKwFUk0RScSbovVzqq+LxZNKRKPxSDQeisVDsXioVvRoLBFJJCOJZPXPZCqWSkcSyUAsFo4nqjfH4tX8x+KhWDwdTaajyXQ0norFU7F4KhJLRWLJcBj+TCiQjCeS8UQqHkrFQ4lRhBPxcDwRTkYjqVg0FYsmo5FEJBwPhwCpSAJekVIgGanmNhZPxuPJOJQolgjHE5FkNJyINCIeTcQi8WQ8VcwUUtGkz+OPRuPZbJ71+TEVgeEEoVETGnV1J5ZWjeGYLOT+8aO33Pr+6/75I7d84sMfEgt52Ieo0eoJtRZXqdUanYrQ6PRGu4Mk3U6apdy0i2VphmFIkqQoiqZZukWyOx02h91is5osZoPJCDCaTTqDXmfQ640Go9lktlqsdpvd6XCQTjdNKUExNMBNUy7KDVB+ZXeQLjfNcl5/IBSJxuOJVCKZTqYy8VqNKZFIpOKJVDgSi0ajxWxuakfHwhnTe6f2TBH5bCQaYljSaNKrVBocU6sIDaEGaNUarYZQw1kdGjWhUeMaraoWVQfWOIwGnUWnM2u1Oo0Wwh4bdHo4xMeg0Rq1OoPBpNNodRqtzWSmSSdHuRkX6XbYKacDQJNOJVi3i3GRgOq57y4XS5Juh5NykqTDabFY4BQDjUaj1+s1Oq1Gp4WzGwx6rdlkcFotboc9FQ0lwoF0OJiNhnORcDYcysUixWS8lM1JmWwxnU5GIz4v53aTTpfDQTkZjvX4vMFwKBKLRuOxSCwajkZCkXCsRQpHI+FoJBKLAmKJOFA7cHw8mYgl4tF4LJaA6h/dWFyXovEYAjwKnhxLxJsiGo7EYrFE4v8n7j2f40iyBM9IAUGQJUiCADK0q5ApIlLrTABkFVuLaTHTXUVCK0IkUmsJgKJEd2/PzvTOzZzdjtnunN3a3J5Y2w9zZie+3Yez+4vObu6DJ5IgCPR0zfTawX4Gi/T0CPfw8Hzv+XOP5+rYFKCvLL99J+n6n6YZiqJhrFComCJEnVSS/qd3TVRF0wx1rM91ekCIirESVH1+Yliq16sYBjFVYsgSxki7XS79kVANqBpA0S+F0mWDE1XBqoJVFSoEKQTRuyM3yXjKf5HqfRNB/QfJ/xuFG1TRpTbRoaIDogGiIIIRgRpUdCrTkfquvtP/KEyudv3KujnG0DVDN33egO0Phu3JUuvQleXV72h6h8PB8/xksT31MlFNTyeNwuGwFbQNrznumrqOdB1qGlBVqpyo3tIUnaKrxlUMTTc0XVe1a0BNwZo6McB101AMHRuaoqmqZqiaoWpeVfMqqk4UDSvEILpKqAAdv+mnEKRh5EXapVJ8R2np2LwRg9yMhoxviKpfwYRjvEA1oUo7gYJVWhlqD5lE96mmVzVNxTAVwyC6QfSJitWQelXjapgoFIIUgujPy1DGkmjyR8WWpmkKkRUCqHZXFKwomBCEFaSS8SFBWMFkYh/Q0jVFV4l22bCaolzWBKlepHmRNunNt7UDQkRVdZVoClYJURVVx5q+JIqzH37IOBjXlJuZ7M3lYhgX42CYezOu1unJP/zH//C7r17/7Lvfvn/vjuNqNKRJOJfx/3GwXhrb/0p4duZGrkb2/b3hDRi6Eda1v2tRjyZhCSYByxxXQjdONpq8mudqLCO32824p+i+MtPT07MzU/dmZ+amp1wMM8W46Vvu4z1vroZUejfmHc1FrzkJSuNyuVxOxn05G0LTr25mwzjHDhKXa8rtnqYxmhyumyM4McyVxncw76RfXn/cGpcvyr9T6NVwDq7LoJmXMXfHKzCcDpeTcTmZ8Y5t4zA74/fy3W7nZNPPa5sNXmOyfRndzMs9vo4AACAASURBVO3OnZl79+Y+/PDetc2CJ9uv3b7r6zt/9OXehw8fXt237SqPHs4vLi5yHCfKEkAQIYQxJghP3jq+9sdxnMfjoVeen5+nUVYePXpEI7RMAs5MYplNwuRNwuPQMFyzjtk7zjv8ogBlgpGmqV6iGLrhv02+/bGgUlHHxlgiYULBmjkeBuCxyidEJaqiXxe//4Qc/hdXz3uNP/jcm0ektxakqAbRDWIayDCQoWNNw0jDSMOEDromik9TTE0xr3z8F0El6tiooiIaqwQphLxjnhIVG17da/tuW9RyfUwfi8XGS+svp5QmC14syzJNk0bbgRghvwZ9qqxjUYUiliUsAwUiDYs6uBFOETlFZIlwDQAFCAQCRAWIChAJEDGSEJYEAwgG4HUoaFDQoKAAQZUEVZJNJJtINCFnAsEAgiaLmiyrsqijm9HUm7klv6RrNyIaNyMZeIyGJA0B9RIFygoUNMjrYwQNiirkVSDqSDKwoEFOkXkVCAaSvITeJq8CQYM0A60PMFRgEFFHggZ5VWKJwGKexRynSZwm0VYVVElSJFmVgQbGhq2mQE2DmiZrBkUgKo8ViqhokqqP0ZCkIVoxTpFZVeY0wGlA0ImgE1lXJtCU29pHVqDi1YCKOCCIKsS2sahIzJyDcTB37951MMy96envfvJJPhV3McydKafLNeVgmAcf3q0UDn0adjGMg2HcbveMw+VmmKX5R3fvzDEM43a7p2amp2dnZmZmaKA3Gth12umYdbtc70Zsvcok1NsklsvbjWivx3P75/B+uPhrpV9LmUSeuRqsxu12vx953sk4plw0XjLV64zTOdnFwOkaB795W66bcUxdxsq93CjPOYmAS4+nHM5pp8t9afy4XK7L/WmuM+10uZ0u9xVzhX4cmzJXIuFc5W3A3Usmq39uCIk/tp7eCcd3LdjOP4PxHoBXHsE71/yGOzZd6z/vRg4chxqcWDNvQwu990cfwfs9ZxKdzHFLuEbHlcjiDMMw0y5mxr0AZejTBQ3LOpYIkBUoqMqN3Cr3vilXZKNgjOEMJBqKqBNJQ+DSPSgrUFagqJOb+Ybl/iH39S+691vk/63X1IGoI0kjkkbvCAmGzJki0GRJB2M0JKpQVKGoYiqZ/+XwqnQNmn5pZ6CxR0XBmqbo5jg0S/jdF6epP//6W3aTRbChUMiyrGA4FI5GrKBNIzopiqLruq7rqsB5gRRUSdzQ015v1uvNmGbWMDOmTkkbGiWlqyldTRtK2lBSOknpJKlhepDSSdwkCYMkNZxUUUKBCRUlDJL0qRlDSWtqWlPTipYlWlZRckTJKyRjqmlDS5pawlAThprW1Iym5hV1GWtXWUFjlgm+mXfzv+WW/LlbuFbiY6xTnkBtFWnLWMsRLUu0HBnnWcbaCtFXFWOF6PQ4r+g5oq0QnaZcJY/UNDFTipnSvCnNSOtm2jAyupFR9aRCkgpJKSRDSBaTHFFWiLpC1DyEeQjzGOURyWKSxWoGKWmkJAlOKSSlkLSqpFUlo6mUvOHN6WZa01OqllDVpKbFNS2h6xmsZZG2jPVVbKxiYxnrWaRlbmmfFYVMKryqGDmihQQJ3L//AY23yDDTDPPz733/f/r3//4vv/hCFbhZhnE4ZxjGPQm25nY7p6amnK6pDxyumM9/1mr/6Y9//PCjD+lAcWrKRYOxup2uaffUtNPhZpg5t3vW6Zx2Om5kPHB0vtX0k4/04Po+9A7nNV1FmQwvJ1vCjDXoFXOBXnPK7Zyeck07HTMu56zbNeNyzric9OOMyzk3PTVFVRq9iMvlck0xjNPpYGiF3Qwz5WCmnY4Zh2OKYeigd9rpoomzTueMwzXLOGcZ94xjasbhmnaOmXG5Z53uOw5mlmFmGOaOg5l2MFMMM+1gZl3MnJOZczJ3Hcxdh/MOw8wwzDTjnHa6phnn+8w4XHOM6w7jotefcjBTDmaaYWYcDvrtrNNNoeXOuNxzDvcdxjXDOKbGuN2My8U4aVT/GZdzimHcDDPFMFMOxn2p/CbLLWedzju0IS6tsSm6OuOS257vJMNV023ylCcpk8TbNPfENrr23K9e6p0Oc2kDjff5vdT0t0W/pnsN03unB+PuMTVNjTO300VnW+gWlJPboT1qyu2kIQpnne45h9sHUMbnTyAlr+j/hHz7IzEuZSKpFCOvmnnVzBrerGbmiTERfauYSrBb+GPVRyErCvkj5PyG8n8FKytIW8XGY+JbVcxl1chrSlbHOZVkNIqaVpUUUVNETRCFar0/FklNuXqcUElQU21VCajEpxFTVVQFEwwRlHVdp3F4Ji/+0AH9WNNTb5soS9F4jH5BV8sH7UDQjgXDIZ9fVwjCSANYlzHCSEwo8mNT+aFP/TOvsunXtv3qppds+ZRtv75r6fuWvutXd/3qQUDd9ys7JtrzqQcB/YVlUA5s48A2XgTNFwH1OGTu2cZO2NyOejdC+m7QOLTNgu3dtfRNW9v3qiVVrWKloJBdg2wF1a2AuulXNnxky6fs+8iJBssEtLDQgFwLC3XA1gHbRHwdsHXENyDXgBxNbECuifgm4huQa0G+IbN1ydMQPS2ZawO+Bfkm4OjHJuBo5gbkGjLbBFwdyTUolSW+Igv0uArEBgZVWhzg2oBvA56e2IBcFXE1yNHT65KnIbN1wNYgV7usDK3PpG4lxDYB1wV8S+YqkC1itg7YrsQ1RakCpBNF2vOCLQtuhchuSNsP6Qch/37QfGFpp36lYZCWgloINKHcBmOastSQxLosNoDchKBKYEVFDYK6ENUxPDLgnhcem2jfhw78+IWlvQiaB7axHzB3LXPP9p74QFGXy0Ssy3xd4uoSV5f5KhKq0lITjG+qjvgGFhoy2xA9dV4oqGIVsHWJaxJjhYA5hrnncrtcjmmG+ez73/9f/u6//e/+/C/+j7//77/stgi/yDCMyz3NuKcczuk7M3MzLreLYT6+f2/zJ9/7qlG/ODz6XatTffZsYXbGwTCMY2qOcTN3Zu9R/TA9zTCMi7nDfLOo4b//7xZvtnO8r+zlCNrJuJ2Mm3G6ppyuKYfTffn1uy7392GcDqd7vE3t2B/uYhwuxjHNOKYZ5xTjnHI43S6He4pxTTPMeOsXhnExzJSDuTs19WBu9tEHdxfm5pbm5sR79/SPH0YWPRmOzy1xmfml3NLD3NLDrGdM+pLHHjmxwBof3+fv3Zufm30wNzM/d+fRnTuP7tylLM7eXZy9u3TJwtyHN7J052YW5u4tzN2bXG3CO037rnPjxsH0+4m/f8z9X/rvrcvE5ZiZds9Mu6nDgHGP74IaB+NH6Z661dXgdjDu8dSGi2HmHO6Hs/c8H9xfnJnlPvhg8e7du65x52IYhmHoDgBuN+NmHMxdhnFMTTMO1yzDfMg47t5z5y10aOsVInYB35GEqipTGULFSENmm0BoyUJLFibihYrEmuyhB1XANrBQBWxN9lD5VpWWalReYb6O+BrkqjQb5BqQK2OuBrkm4NpAbEKxpMiHXrhnoT0LHfnQMRKOkVDwoiMfOlKlsgoaWGhKbEdku4BvIr4C2SpgO1BoSmxL5lqQpxK4ifgm4JqAq0Gujvg64mmhVELWIFdCPBWhVIbTmlcB2wZiXeZpzhYWqBinX9WJUEVcRfbUqfCXPB0oXJX5Dcg1AdeCfAvyNczXME+l8UTUU8VRkz20ccZKhGoTWWxD0AZiHYklDR6YcDtAdkPatl/d9avHmlKHpIGUgqFRvbYR1A4ivj3b2LX03aCxbWn7QfM45KOK78A29ihBjUJ14l5Q2w/puyFtL6jt2cZ+0Jzkp+xbOuWZl/wgaHzfa6YNI6gofglyiGCkE6L6TL/lDwT9gaA1fhEsFAnbtv3WdSRJ0iQ2auTynQGfHfb5fF6NaBhBRDBRbVXJ6vhHlv5nYe+zkHfDUrcssh0gG360HsAblroVGEP18YaPbAXU9YByLX3TSza95IWXbOtg0wDPffBZUP3cVp550bZf3fIpzwPkM4tsmPgFQccQHiho20vWgmTNUtYDypqlbFjqrp8c6qhA5BqWT0W2KHElma8iqU5AGQgVKNawXIFiBYpVJNHjMhDKQChhqYjEMpIqWC4j6VTmT2W+CIQykkpQPJX5gsSdyFwB8EUklrBUgmIZSTR/TYFlJNHMJ1icUCDSCRZPsVgkUhGJRSCUgVAFYh3JDQxqWK4iqQTFEhSLQCgCgVaMckqrjeQqEEtQLGGpiqSKLJQhPlXQCwNvB8hGUNkIaltBfcc2nwfImh9tmXBPk06wVEZyCctFLO8Y8o4XULZMecuEWybc9qLNAFwP4F0vPtbxgY6eB9AvQvhZCG340boPrvvgpl/ZsNT1gLLmV9e9yp4XHhjgmEinUCxJQkngT2XhVBYqUKwjmdazDISixBUFtiryTVE6hJ4qYIsCWyUmuDM1wzDTTofb5Xi6mv9f/9P/3D4+7p0UaocHxb2d0/0dExIHwzAOl2Nq2ul0uxmHbZr9Vv1v//w3L2u1X7c7v262X5VLT2LRaafLPXv3oyn33P25H92//2fzi79c8Kw9ePD5vPATz8M/efhP85P5+ff56aNHP3306O3HhY8oP3n04VV+Or/0o48XPp39OO2YiTCuIOMKMm6bcQUdU1cJOacp19In2Iw77JqJuGcneWh+i2EshvExjI9hgk4mNTv1yYcffH/+4Y/u3//R/fs//vj+Tx7e/8XCo2fs4qbA7cjiJsdvsdwuxx3LcoUoDU1tKkod4wbUJtTRW2oAlyV4JEk7krAl8luiuMULO7ywwbOUTZ7d5NltbsymINwMx9/I5DrXmDQsfQQ/mn/4o/mHP3z44Orj+JOHD3/84MGPHzyYPCn68Vrijfz4wQPaRFf5J8/6A/vGT+bn/3Rh8eePFn7+aOHPFpd+seT5xZLn548WfvLg4Y/mH/74wYOfzM//9NHC9z++vzJzJ+ZwBBkm7Jq+kdyU69O7cz94cP+njx79cnHp2RK7tsRtLHLbC55dTtjihc8WFn46/+DnjxZ+vrj08wU2PzcXc9+NOeesmanY9J0PZ2cZp2vGycwxjuk7TMaUDmzjBItVJFQBf4rFEyweI+EI8lTsnGKxiKQikqpIqiKpAsU6ARUolmSeHlBKMl+S+YlgpF9Vr5xVBWINSjUonWCRirIiEE+wtG+gdZv8Mkx+ZoMdHz5S4AsFbFnkWZBs+NGhSU4VuQLFuig0JJGKuwoUa1AqIvEUCgUkFJBwisVTLJ5CoQD4MhAmhU4oA4HKSVqTiizQbBUsl5FcRNJYxhKpiMQCEk6wWAXiWCJdynAq/0syTw+uFTGRw6cyT1uD6gVaEJXVV+tTRRItoqKAYxNue8FmAO+EzfUAXvOjPR2eArkEwYGONgN4w49+4UfrtrruxesBZSOoUW216SXrXrzpV8Ya0D/WiRs+shPQtv3qpl9Z86M1P9oM4LGK9Cvvs+Ej6wH8p2Htmd/7M8v3Pb+5ohCiQqRqGCu6bvq9PssfoG+E0pfm3tH0sixHLuPLTkLwaLZfU4kXYZUoEBG/gr9t6ms+YyOobUfMnaC65YdbfkgVyUZQ2Qob67a6bqubIX3dVj/34zVL2Qobz4Lkcxs/s9AzCz0PoOcBtOZHz33whSLtY2HfQBte+NxSNqLmRlDbC/m2wtqzsPJZRNmwyAsDH6vohYH3LXU9pKzZ6kZQ2wjpW2Fjx9ZfeMmRhqoKOQVyCcEJBVkqIVjEsADlEyAVISgheArkIgQVjAqydAKkApSLGJ4icCyLx7JYgPIJBuPMEBSBfArkUwROgFTCcpmAEpbpD6kAhAIQygSUaVkEHhJwjMEJBkUIKgCUCCoRNK4MBEUgFyTxRBRocSdAohSgXJClgiyVZbkgj+tTRrAI5AKUjzE4UMiOrmz5tHVbXbP1NVvfCJibfuMzCz238ZYf7uvyiSKXNFQwlSOvsuZHaxZet9WNoLZmq5RnQXU9qK0HtV2/eqIpRwreMvFzS1mz1Y2QvmarzwLkeYCs2+qmrW3a2npA2Qloez71QCfHGBUgLEB4itApQgVZon26glEFozKCZQTrGHck+QTyFZkryNIeUD9gmCm30+FwCI8e/pvf/OqXP/uTO+7xzPr9D+55lhZ2//SXj5MpOpT56O7cj7/73d9+8fo7q8uejz5c/OBD4uH+7Dvf+aLVKu9suxmGYdyOaebOvanywsIXgvyG577kHl14+IG0cCby34hzSbiRC5m/kPlzibvKmci+lvGFhPqC3GDFCieUBLEkSUUgH7PsMcuecNwJxxV4/lQQKAWev5ETjjsVhKIoTvLQ/CWZp1bmicgeCQtFYakBhA4WaekjwTPiF0f84pBbGHLzQ27+nPcM2cWBZ2HgWRhwi312obP4sLFwv+/hB0s30PMs9tmlAbd4xnvOBfZCYM95zwW7NJQ8Z+KY8yuc3cK5xH4jrjX7QOAoVxNHAjfhFZRfAuklkC5k8UIW6fEk8X1otve5Lf9t/OE9Z8izA85zIYvnkvASSC8RGiLQlPiSyJ2K7KQDXKPpedgVFkcydyHzLyX+QuTOec+IXXzFcq8F7qXInQvsSODORP5clC4kOJKkokcoLvIn7OIJK4AP7jFO1xTjmHK5XdNMBguHtrmniYeaUCTSCRBqCiojSH+PVYKp6CgBNBZfslTBqARBQRJpthIEBVkqQlAhuIxREYIiBKdALgK5CGSaYZKzCOS6BBoSaIqgKkhFiI50ZSegrQeNz22l4NVbUClDvOtXn4e0Tb9ypJI9FRwhuSBLRVEsy2OBXARyDcAKAGVZLstyBYAagPTKk0KvFn21MlflcBHDsgTLEqwAUIWwAgD9MZYRrIky/W2eArkAx5lPgFQEMpX8VBfQ9CKGNP0UAaodCrJESzyRxIn6KEgirVIRyAUgnELxFEmHqrzjBesBvGbhDUtds+C6jXZ9sEDkUwXseeG6BZ/5pM+CeD2kPA+gdZusBcnnAbhm4Q0/2g6QbVvZsMiafyxyNyz9uU9Z86vP/PiZH9NTNoLahqWuB7TLRPI8QNYsZcKGjdaCZN+v7QfNHVv/uUGiOlBUOhhXNE3z+/2TiA70Hfuxpnc7XQomsUh0PIEfsoJhOxQJ+gKGQpCCCVI1DcLHmOx4zVOvuuWHuzbZssYjQjqa3w4Z2yGNDj03Qvr6pbLZDOlrYfV5SFkLkrUgWbfJpq1sWWQzgI8ltojlgo52NfBcl9b8ZNOvrOl4w0afB+RfBKR1U9pXxEMkHBBxX5epibDmR+sBZcMiW368Y8ADIlONTp8u1dnHokD7RwHKx7J4IolU91cJrqtKFULaV2hHqRJcJbgK4QmQTiSxAkAL4oYM6xDVMa4AUCagokCq6en/UyiWCTjS0AsD7/jG3osdk7zQ4CEBJ0AqYlhWcImgUyAXZKkEQZXgMkYlBAtw3B1LCJYxKiNYh+hYFF4AsajiOsZFUTxG8olf2zbVLZ+2HtDWbXXd0jcsfSugb/v1z2ywZsEdHzzUQYHIBQUd6GjLxFs+bduvb1vGtmXs2OZW0NyyfVu2b8c2d4PeY59eR0pdQscY7ZnaC7+5ZutrAe25Dz835XUT7Pjwrp/s+smmX9nxKbsGeaHiY4xOECpgXMCYtmcByiUI6O+tjGBBlmocX8JSSeSOFPz9h4tzDDM9Pc04nD97+un//p//06P7H/7t3/43/88//uNv//IvqKfyB8vLf/fXf/Vv/+LP/80Xb3736tV/+Ju/2Xr+WTwWGnV6B3v79+buTjFMt3DSOTn2fPTxjHOacboZp+N00XMmy3VpsSU9aC1xXd7T47g/Dqz4Pl2P0PbMd7iltuDpyFwTCA0gVAFfkbmmxN4CfyMN0TPJ0xA9k48NUWjJ0njCReKbPNvi2Q7HDgShz/N9nu1xnh7n6bJLXW6hwy/0BLYnsF3e0xa4lsA1RK4hCnWBp9dsiJ7WJW3B0xY8VZ6r8VyL4zsc2+O4Hufp8p4Ot9Tix3S4Pw5d3nOVq23b5bkOx1K6PDdhktjh2C7Ldlm24/FMeD/l/W/f57b8t3Fbf6A17Al8T+Cv1rnLc23W0/IsNVmuwXE1nqtJQg1KDZG7ka4kdES+w7Ft1tNmPT2O6/P8QBAGLNdl2R7H9QT2sgihz4sjmS1LbFvwnMtLrzDWP77rcDln6fsJDibLs8WgtWPIe15Q1GERyxUglUWpJIgVXqyJchOgBsJ1iAqydCKJx6JQhKAgS0cCTw+qBI+NdQSpSKQm+ynVppd6kar/giwVMSxjVMGoCMExRgemshVQnwXVjaB2pCunEjiW5W0Dr4X1NUvZ0OGOAQ91dIJBQRJLkkQHAyeSSBXqEbwc4chSEchl+R01T+2VseECpBK1QqjkUcghAftYKohyWQR1CdUlUJFkak/UMa4hVAGgglGFYCp4a6pShGPb4lSWTmWJ3u/YDgByCYIihgUCTxGg8rmG0AmQaDsUJJFqelqlY4krYbmoowMDbPrQdkjbC+ubPrQWAJshcmCRogpPFXDgx5tBvGWhtSDaCOK1AFgLgM+84mdecSdI9i3yQpP3VLBtwA0/WrfVDdsYE9I3Qvpm2NiMaNsRfStsbAbNzaA5Ue10/LwR1CjrNtkM4D0/OvCjIx/YN9APdCVMIF2NjxXi9fqvRI203mr62ekZr2HGozG60p7GbgtFgpZXVxUsaaqkkShEa1hpGnpZR5sBvBNUNyzyzI+f+9X1gLbpN3Yt346t79j6pq3R+m3a2oalrnvx8wB65ofPfXDdB7f8eMeHd0y0bcCSyJWBUERS2aceB40DWytEAi/8+nFYP44YhZj3NKifavBE5otYrvrUw6j3KGweh8yjsHkY9Z6EvUXbLPv0igJrGm6aaomAEpbrOqkSWEOgBKUKBmUkn8pCSRJqCNQxrCFwLHjKSKoo4ATyJ5AvKXJJkQuAP8FSAYoFIBQk/lTgSpJQAVIFSKeyUIJSEYglKNUUVCWQfnyhyXteuGkrz0PK85CyE1QPffhYh8eCpyBxBcCfQP4YcCcyV4JiBcv0UpQSlMpIrkK5KksNIBeBeIqkigIbCNYxrPm1asx/EvUdRr0vIuaLiHkQNg5DxlHQOAoau1FtL6gcetGJIheRdIrAgYI2Nbhu6euWvhbQngXUZwH1uaV9bhmfW8ZzS3sW1Ld8ShHjigSPMTrwGUehwJ7tP4nYlXioFrdrMX89Hmgm7WbSrmaC1bTdSNrthN2N2f2YPYgHB/HgMGYPY3Y/EmibahWITSg3VVRS5BqQaxqqY3gQMMMzc7Nuh9PtckxNb//Jj/7hP/49tzi/s7f9f/7f/9cv1587XM7p6el8PPLv/vLP/8e//q/+8+/+6h/++r/+d7/5Vw8+vPvmt1//4//7j93egHG6pp2Owsb6q3rdJsTFMC7nrIthyo88Q1kqyUtVuFT1gB4POhz/z6PLC11euJLC3ozId0S+LXCUFs+2eLbLc32ep3wje+LaKX2ep/ZEl+W7LN/jhCEnnnHSOS/3WLHDCh1W6HJilxN7vNQX5L4otTh+wpVvwY2au8sudSS5K8p9QR7wcp8Xe4LYFsWmJNIT/3B6vHQjt37LCT3uWgu/bfar0PSeIFJo4uTjf2n+yR5yFdp6HXru5e3TpzDpD9fosELbw7eWuLaHv9ZWHfoQBbEjiB2Ob3v4zpJYFRaPJbbGe4bc/LkoqXPTjJOZYRjG4ZpyMJ/I0lk+10ja9bQ9TIRGYasd8naC3qZPLWHpFIoVBVZVVCJg4oCcjE+qKiphuQCEY4krIqlMwCkUi0CsIVCWRTp0OYUiHcmcQpGOYo+wUCAyvUIBii+wuKuK27pU0NGpAopALADhRJFPAspJSD8MqsWgXgkaFa9SRFJZFOoQUCFcJmBCCUoVINWAXIegCuUqlCtAKklCWRapsC1JQg3LJSieAOEQSkcaOvaphz68Y8i7ivwCy6dIKiLpGIn7kD/CIq3JqSxQh+uJyJVlsQbkksDXJLEuj8uqIVBDoEpglcAKkKj4LSO5BKWyLFYksQlBGcllWaSnNxCkZ41PwaBqatWQrxDxnSQC5YRdigV2fHAvqBz5yQkQDgXPriruBfBhUN2x8L5F9gP4wFZ2bbIXVE4ixqEX1SEoIulEg0e2fhA2NiyVKtDPfehzH6Aq8rkPrvnJhqVuBc31gHKVDUvdsNRNW1uz9W2/umGjjYD4wpSqPvWF7vuWjDVNoW97GoY3FJrsXnZF08/MzHi9XvpFOBy27QAN7OrTiEoUSVOhhh8TVFX0ka6famDTAFsBdd3SP7e1Z7a5bplbAXM/4KMLEHZsnVZrN2js2uqOD+9b5MBWjkLaScQoxXy1eKAeD9TjgXM7UMewruLX+eQXT/ODlcTZauZ8JT1aTb56mvviOyuvVtNt21smoK6TYdgaPEkNV5PDlfhgNd5/nBiuJkf5+EU60dTJKBz4KpsYRa2GQRoabmm4b2oNDFoKaimogUENSnQxXUUWKgHST9sXj+P9fLiTsQfLkbOV6DAfrsf9zaRVi/kqQb1iayUDjafegVgE4onIHQtsEYjUdChI/BHkD3VwEFB3Q9p+xDgJmSW/WtFgRebKgCthoaqDRkDpWFrHr7a8pOPV2qbaNJWGV2maSsMgDQXSSaCmipoqqiKpocBhyD9Mh9vZUGs52spFGplQLWXXE1YtHqgl/PVkoJEJlSPeUwOXCahCuYLRqYqPffpeWN8JqnRhBHUQPQ+QZ3783Kd8ZpENPzpGYkngTzA4DhjFSLAcDvayyS+ernz97eWvn+a/+jT35dPcl5/mz7+Vffmt7Kun2TefZr98mvvyae6rT3NffZr7+kn666fZX30r9yoV6qmor+GLaOAiEz6PB/uRwEU8fJpP+e/ddToZl8v1aHHh153G//Y//D3iPE4H43S7GAfjcrncLkc+Hvnd64u/GQ3/bjT6t53eX/UH9+/d+cnnf/r1179mBEfwmgAAIABJREFUnC7HzIyLYao7O79qNX0AuFwuZoZhHExx/sG5wDaFhb600FqUOqzQ59k/EDo4vj3DzZK6xQktqoo4YcAKA1YYseIZJ//zDIur6o0eDCS+L3JXhsLjEfxAEAaCcG3g2+HYgcQPJH4gcH2eHXCeAcsNPOzAww45/iqjS7pLCz3P4oDzDDhPj/N0uKUmt9jgF/9ovpBbbZorLS+8pS9yN37sskv/v3Bbf7jqn7jqt2hyi01uscMt9TjPgPMMWc+Q9Zyx7K0WksBT30BfFPri+IG2WU+X5+g128JlKR5Px+MZSGIH4AEr9tmF+sIidDvpKj2Xa+rOlPMpBL/+7ne++M7Km+8u//rT/G9Wc1+uJr9aTb5ORro+vU5AnYCmimoK7NpmL+jtWEbXNun/UdTqWEaBSEUVlHVUVMEpHq8lOuU9FSzTqWu6GqkIhBIUqwQUiVQEQknm67JYl8XxZBMWOxC0gNzGsI1hU5ZaCLRNtR3Qu3Grl7BbEV/dJFUkNaHcJLChwB7BE7oYdREcIDRAqGuqHUNp64RKv5aGmyqqE9BQxDIWDgG3C7kDHR2FtOOIcRBRD0xYUMf2QRGJx0goIGGy0IrO/V9d83TKe0oyX8NyQ4G0ZaoEVLBc13GVAJqthUADSA0wri1N6amkryktBTUU2NBwz2+Wkdzyaq+yqeFyqpGJdHPR8yfp0Wry7Gn2LBcf+Mymgush72Al8ebT3NmT9MUnmYtPMq+/lb/4dv71t5dfPk7X/Fofwp5K+kH/MBfrrMZLmVAhaZ2m7MOo9yCs7QWV7QDa9IFNH9oKqNuWtm1pV1e8Tab2P7PUHa/2LKg+s8CBIXd9RkcL/BQQU8WaShRMdN2kb9Fd997Pzs7SV/HoGn3L8geDlmX5VV0xsEaQYmroBwZuqeqZopxqcA+DXYNs+jU6WFyz9Q1L3bV06jTeDnm3gvp2yHgRMU/jgUrKauUineXYcDV58Unm5afZN5/m3nya++KT3Fe5VE0no4j9xePs62/lLz7N9jPhl6vJUT7+8nH6zae5i+VkM+Q71WDFIL1w4Oxx8mI1efE4fvY4fvZJYvQkOcrHR+loVUX9oP/L5fSrTLztN8oEFIHYUklPVdoYtTFqEdzEqAbkGgJNBffToYvV5Otv5c6/lT17mrn4du71d/JffGf55eP0V997/Oq7K2dPs6++le+nwlVTaepKO6B3LKPpU2sGrpukqqNTLJ5AfgtzOybaDhmbMf9OLHAQ8b0IqC80uQrEhob7Id/LbOzNJ5mvn+a/fpL9aiX9Mhs/y8RG2TGDZLgbCbQss6qilkraGDWA3PJqw1RkuJLoZCPD1eRwJTHIJwfZeDcT62TC7WyomQ0NsvGqbdAB/dhRoat121ePB2oxfyXqK0e85Yi3GPWfRnyFsLcU9B9HvEe2WiWgyfMVSSzrSs3yn/iNVjL86nHq9ZPkxUrkbCVKrajBcuRGRvlYfyV28TRzkY93TbWjkbNE6PxJ6vWT9Hku9jqfrH3/qffBfcbJTDtdkiC+KhV+d3H2028/nXU63Yxj2umi71zlfL7RyfG/alS+PHrxcm/n62rVworb7WYYZu7Djxin46OZqbOT468qlQBCjINhZhjHDHO88OBM5Hvi0kic73qEprBEfdTvMxnjXqXJLdKDG3JyQosT2rz4HkKbF9oC15WEnkDdsFyH41uCcAvcjbRFkWZoi+LV4wa/2BI9bYntyFxH5toSO3a/X9aZVrIjsl2J60oc1TQtfqnLeybKsi9y79sWdNzf5Ra6wmJPXOqISx1xqS2Mz7qt3a454Sd80/w3NL6wRJ/XtVsbuyJE9htB2+QPSfz93NhP3q/PpKpdieuIbFtYbPELHX6hwy90hcWusHhbf2hyiw12YdLx6F13Jeoi8rQFT0tcbAuLHZHt8p4Ox3aXHvY4ofuIrQvs/scPRAd9o8/hYBiHk4ks3B8s5y5Wk6+epN8sJ1+vpC8y0YtU5CIWHPiNNkZNCPqaeub3naUiL7Px83R0lAyPkuGX2fgXK+lRMtyKBrqJYC3sPdLACyyWCKgpqEFQA8EakKl4pIPsBkE9U6+GzBMDHROprKO6T636lKKflCy1osESlmoaqnmVUw0cE/FUkctE7lneQTzYz0Q6Uavp1ZoKbhHcUgn1MZSwXFZgVcN1ndR1UlfxZP0TPagokDobmiqoElAg8j6B+171MOI/TAb2E+axTy0R1JBAS5KbENQQqEPQlgEtpa7iuk56tm8UD50lwsNYsB+xhrHgWSJ8kYqepSKjZHgQD/ZjdidqNfx6g6AOQj2EOwi1MWoQ1CK4Q3CH4K5Cugppa0rbp3ct7yDoqxLQ9RlfreReP870ctHBcuzVk/TFaurlp9mzTKxraHUMG0Hv2XLiq0/yo3z85Urq1Wr6YjU1XEm8fJw+y8SKWG7JUt/UzhKhl49Tr76de/md/Jtv57/8Vv7191ZefTs3epLsLUcbmVAp4T8Km7uWvhM2t0MGXTu15id0/Lxpa88tZVclzwNkM4CPVKmvqX1i/FyBBoFeRTEU1dBMKxAOh6Ohy1j4Y00/d+9uwLboplKRSIRuWGRbfuDVvEjzSkpQRT/xKXUV9xAuaeQUgYKh7fu1dVt9FlSfBcnzANiy4JpPX/cbG7axHTF3I8aLmLeWDQ2fZkaPU+efZF5+mn35afZiNTXKx4eZ6CAdaYWtfSiO0tF+JtLKBC+eZlop+9XjVCcTbqdD3WxksBzvZyKtuNVO2KNsrJOx+9lgP2v1l4OdlWArH2yl7HYkUDe0qqn1IsGLdOIsGWsGvHRV3UAzGjKsiXKLKE1FqULY0NRR0P4ql7pIRfuJ0CAdGeZio2xslI6O0tFhLPxmNXe+ku7nEq+e5EbxSEfVzjTzIhP9cjX9q09yXz/JfrGSGsTtsokPEf8CiEe6cmz7j0L2UcguWP5jTTkEYhXKPcv7Op/86uny62/lzx6nRvn4KBtrpyLtTLSVi3VWkv3H6cFKqpOOtuLBRsBbx7ghyB2sdEIWzdPORHvZ+CAbH2SSw3RykEl2c/FWLtLMh4eZeDVgnihyRUVtTWlrSttv9CLBfj7ay0X6+Wh/JUbdHr3VRHclPsommvlIJRVomrgp8WWJP1VA1asXQ95WOjRajZ2thLs5q50NNPPBxnJ4lI+NHScrse5KrLsS6yxHO8vRznKskrZbK7Gz5UQ3YNZVXLfNWibYydiDXKgdCVR++BR/dI9xMm6GWXowX9989qtWs3t8/Gkqgzk+oKgRn5kNB1+fFH/bav2qWfltu/qbRuWLaqV9ePJo7uPxG05OB+HYwe7ebxtNH4KMk5lmnLPuqcOHiz1e6gnimbA04uWezL7vYr3q/v39376b57quohpxxAsDztNll3r8YlcYC+WezNNR8lX67FKfXXo/nTLkWZphyLOT4wHn6Xv4IScOOXHACr0lvrPE91hxwMuTKe1rDv+BIPV5kfrhe4LY5oUWxze4K7PIk4kGgWsJ4ynnFs82Wa7lYdtL7GBJOPNI1+aeJ/z+eev3uX0WQ5g48N9vcOrSuNr+tzn2b3uC73tKbnO5//PocW+nVN7eC8v3lri+h+9x48p3Lh8BfazvQ1uGzs33eX6yOKDvEXqseLWUASv2PUJNvNeVPB2OrWng+cNHLONyMFMMfaPPyZAPpwuRQDth9bPBQSo0WI71niS7K/FeLtqNhapevUBg1dQGsfAgGz9fSY/yyX4m1ktHz1fSrz/J9zOxgm10srFePlFPBFvxYDdsN0y9SnAL4iZAdTie5q9D1Na0USDwJp1s+701Ven6fRex0CgeGsSDvWSobXtbKhno2nnY7kStRtDbNbS+DKsEt4OBQT45XE71IsG2aTQVpaaQFsQ1AGsANhWl7/WOAoGRzz8wvW3b3w1ZvbA9iIbOEtGLVPwsEe1HgnUC6iouG+qR13hheV9ErYOktZvw7tj6CxUXZVgDuKqQsq5UNaVBSBuRtqLWFFI3tGEq9sUny28+XX75Sf7iSe7iSe78cXa0kh7kk8NcgjLIJ5uhQF1VOoj0kNLFSosodVVpYtJW1A5W6hIoy3JdU3th+ywZa1lGTUMDy/cmHT/LxLrZyGA51s0GO/FQNxNrR+w6xiVJKvv0bipylkl04vZZJnaejfdT4VrMP8zF3iynWj69rZNROHCWjXaz4XbWHubD57nIeSp4thwf5WNnK9GXj1OvnmbPnqSbuVgxYe3GfNsRk67ef365bnojqG2E1QMMN0y87yMlLPUw6ivKz/zQBLKfKF5NN3XvRNO/9d47HI67d+Y0TUsmk5PdHsPhsOnzqgjLCvZClALyjtfsYKWmoBoCNUjKslyE4NRQ9n1kJ2x+7sdrtr4VNNcC2pqtb4a9uxHjJGq209bL1fjrT1MvnyRG+VgvHeqmgsNM9DyfuFhOttKhgo+8iYZ7q4lyyrpIRXuriXYm3MnGuplYLxftZiPdbGSQjY7ysbPl+DCX6CVinWi4k4h2c8lePtHPR8/ysW7Mbqlk6PeeLSc6jxO9XHQYClSA1AByE6OmgusYVoBUU1Db9g6SYaoRu9lwNxseq8Z8tJ+P9nLRUT7ejPi7qdCrJ5leMlQxSE1Bg5R98Th+9kmqtxp/893lUS7aDfkqWD4E4qFJ9qLmccS7HzEOAmoD4WMMTg1lkAy/+STz+kn6fDXWz0e72XAnE27lIu1MuJkK0lvrZMKD5XgnE24m7a7lbQHQhKAb8nezkWY23MtFe7loLxvvZmLdTKKbSXQzMdogF5FgTcNFHdGq9tJhaqwMlmP01uhNDZZjlG42PFyJt+OBi1Sk49Xo8oiWV21E/f1M5GI1db6S7OWinUy4n48NVxLDXGIwLjfWzcQ66Wg3F+8vJwfL8f7jZGs5OsrHepZZJ6AbNttZe5iLDZ7myimr8N209vE9ZmqOcc25GOaXq8v/utb4zWn1daF8Vm8e7GynQ+Ef5ld/9OmT72ZTP3u88v185gefLH/vca57eDA8OGg82yw+e95Yf/5ye+tXpye1w727c7MOhplxzn7gZk6W5Fec2NbEtuBp8mwNCi1BpGNxOufa5QU6rX6+xI083JDjexzX4dgWx7d5oSOILZ6d6MJr0BPpTPzk49VJ+smcfYtnbxr9i21ebPJsW+Am2mLAckPWM/J4ruuSiYP3Fg16mwbqe/gB+44S7fJCmxcGLDdgr2vltsB1ROon5/s83+HYlmeJzg3fNha/xsRxPZn+mEyCjNcJ3nJKW/BM2uFScbIdj+f2+6UV9rT4pZboaYieusQ1JLEtjJfF9bi37u62xHbZpR7n6QtLfcnTE8dGWFv4xrMSlzW8Wo23d3HNmdESPR1xiRbU4hda/EJbWOyISz2ZHS/blIQ27Tbc0oDzjLilkcANBK4vLHWFxQ6/0BIeUa6aOLRndkWpJ8kl+UFbWmwuPWqp5OQj7gHDMG5mlplyO13MFOOZc52kE718op2wzvKx3uNo93G8m4/0M+FRNtZNBMs+taaTM8vfidsvV1KDbLSVCnazEfqjHizHKynrNGJ2spHOcqyRCQ2W4/2YXVFgSyVNCPqYdABsY9RUcAWDod/bz0Qafr2M5H7AO0pHR49TtZQ9WEl0U6GSX20n7H4+Nvwk3X+c7GTC5YBWgqCjaq9Tsd5qYrCS6Hh1OviuQ9AwlHbI100EB9no2XJisJJo56P9fKyXiw6W4+crSSqFLpaTL1dSbdvfRqREUEkjxybZDWknYe9O1NgOaS8MTNfTVQNmJxMeZqLnsVA/Fe4lQ0O/t6+pvWSokbCGqUg3G6GysZ+JUFlKRW47HWon7EEy3La9VRU1CGpiVIeAaooOgFVZqmm4b+i9cGCwHB9lY3UVV01lkB3ro04mPFhJtFdivXT4fCU5SIYrXqVk4E7UOltOjPLx1nK0l4ue5eKdTLjzONF5muwk7VepSEVFjaB3mIsNVxK9dLifDg2zkX422MkFexl7mLZe5cNfriZfPk7V08HDkLYT9W4F9Z2AtmHiNT/ZDOkblrptaQemcojJMUZ1COpE6mioR8iGiYks6BqmOycEAoHxnrbh0NsYeW6nC0JId7iZ+PANr6lhQjV9GgKq6esqqmNYhbAsy0UgF1Swq4G9sE7fu9uw1Gc+5TMfeRYgG0HlMKTVk4HRcuTVk/SrJ+mL1eQgG+mmgt1UaJCNDnOxTiZ8pIG+1xiuJtsrsWEi1MpFevlYL5/oLyf7y3HaFbrZCFXJw1yin4p249FeKt7JxjrUDsiEu6lQw1C6PqOfj7VX4/3l+Hk62rW8DQRbBDcVTJe5NU21H7PPlhMTNU8vS+lmw/18bJiL1UPeesTXz0Ra0UDdpzV1pRnz9/PRbj7STNtnj5ODbLQT9heIXJClIwPvR4yTsHc7pO34cBXCEwKLPq2fCr96nDpfSYzyMXrxXi7af5zsrsS7uejk1oYriW42cracGIQCTYxaKhkmQsPV5GAlMVpNUk3fzyXeko/187FRMFDXSTvkG2ai5yvJUT5+louf5eL090zzUGjrtbOh/kqsn48Os5F+JND2aVUdtUPeXjo8ysfpFWgP7mYjvVyUavpeNk7tjImmb2fC1aTVX45341aDTqoFtMFqfJCOdFdTnWyk/r2M/6N7jGPa6ZqddjLfzSS/rje/rjQCErw7NTU3N3tnyn3X4XQwzEd37kwzzKzTOT3lcjmZey53mGibP/zxRb32Ra36F9Xa18XTX/zgezSeyAeOKfDhXF2AbxbZtrTUeTTfX1iia7apkrsyimL7PFvhl2oi25D5liy0JbYjThax81eZDNduW6nXZjnqrqdj0L4o9UWpJ4i3reA74z3DsRZk26ynxS+1JbYje65OTl9C13XfrGJvys/2BLaO+JrsqQqLdWGpLbFdSeiLQk/g2+xim12kvv0G/5a2sDietvAsUDdyk2dbAnebpTKBTmdcpcnyTZa/OsfR4gS6bPB9Ln3+XEsQGqLQkMSGzDeA0JXGULNpwkCQRrww4oWRwA35ybIDsStKHUHsiDxtro7It0W+LbE1Ua4JUpXl6izb4vguL/Q5achJ33wW4K0j/QqLV9X5Vboe4SqdJb6zxLcXuSHLdVm2zXJNlmvyfEsQOiLfF4UqL1Z5sc5LbVHqinJflHqc0PFwVycFxpMOMteRuQr3oCcutVlPU9cOHvIPphhmzul2Tt11TjndjDQ3dZqID1ZS3Wx4lI8188FmPtzJhTuZUC8d7qXDvWSoE/Q1DKUR9p3l4oNstJ0O9XLRsfm+kmgtRyuJQCcb6eVjnWxkkI12Q/66iusY1iHoENxCkEqhmoKGfu8gG21ZZlNXziL2KB0driSaqeBwNdmP2c2A8TIdO8/Gh7lYLx0epaPDWLBCcMvQz9PR1nK0vRLrWt4mRnUMWyrpB/2DdKSfifTS4U4m3M1FW7nIVZnTz8cG2eggGx3l471IsKNqZQWXFXygo01beWFp6zbZ8eEDIhdkqaqQZsTqZCOjfPx1NkFvv60pFUlsRvydTPj1Svr8SbqfiVBFM1iOT+jnY4Pl+Fku3o/ZTa82HrsCuQ5BBYMWgnWdNEO+UcQeJMP95XgvHqyqqObXhrlYOxOmyr6Xj7VXYq1UcJiLneXig2S4Fw/2U+F+JtJOh6imH2Vj3WykuRxtrkQ6SftlMnyqgGbIR8UyNUH6mXA3G+znw/1s8DwX+epx6osnqV4uUkr4D6Pe7Yi5FdS3LW3Tr6zb6nbE3A0aewHtUEdHCB4hWANynYC2intEXTOJCiVNRVhBRFUsy4qGI1TTRyKR8Zjecfk+/XjbumAwEomYPq+GCVCJD8E0BDteo0vUuorqBJRluSKJZVk8RdKuKh5HjP2IsR/20sWEn/nQ5368ZuFtWylEzUbSHizHRquJs8fJwTId1o9NrXbCrvi1lqH20uHBSuIsE+utJrq5aCcb6eaivXysRxvlcnDfy8apP6qXjVNXdicT7qdDnWykaipNr9ZOhxr5SDcXPcvF+5lIQyNNBbcQbCHYUkknYPZT4eFq8qqmv0onE+5nIu2Y1U2FerloNxFsBb1lAtrpYD8fa2fCnUz47HFqkI22E3bRpxSBfKyiA1s7ChpbQXXdBGVZLiioZBndVGiUjw9z0UtLItrPxzrLsc5yrJkNd3PRdibcTof6+Vg7HTrPJ7ohf1VFTa/Wz0R6q4lePkYtIXrXb8lFu9lIP+CtavgsFblYTp4/SdMfyTA3bqsJnUy4lQo2k3YjE2wtRwZPkq2UPUyHewm7bKn1uP9sOXG+kjxbTkxamP723ikxG+9mYtTgaGbDddoUtlmDUg3LVZ/SXYmdZaPtTLSbCLY+ia8uzk8xbpdzhnEw3MOPWycnn33vh7N0Y5Vp9/Ts1JSDcU7PTE3POhwuh9PNuKfufPAhjTU+yzCiZ2H75z/7VaX6plCan7vjcDimp2c/Yhhr/uOKBEePlhqcp/lwYbgo9D1CY3G+wy21lxbaSwt0prPBLjV5dugRRqw45MSJY7lLnefCowkDfn5CX3zU5R/2hPmBtDCQFnrCfJd/SBNpel98RL/qi496wnyPX7yRGvuwzs03uUW6RL/HcV2W7bJL4zfgPQsDz9K7sDcyZBdvpL/0qL84352f787PD+YXRwuei0Xh5ZJ4wb/lXBhzJoiveek1L73ixJescMGLr0R4IYABK1zw8o28EiHlpQCucs7LlAsBvBThSxG+ktBLEQ5l6X1GQB6KYl+U2qJUE6QiLxwL/JEkHAJxh/dQtrmlq+xI3I7E7UmePcmzL3peCJ5DnjvkuReSdCDxLwSOcijy+yK3L3InQDiR+aLE1SWuKwlDkR+y3GjBc7Ud/hBestIlwjUuPDzlfIl76eEprznxFSu89PAvWeE1L70R5NcSeC2BNoQ1US7w/P/H2Xs/t3Fl66KNyEwqi5IYEBqpgc69Q+duACRFWbI9HntmPDO2JNuSrMiI2A10I5CU5DTn3vPq1bu36v2t74cNUpQsz7nnsb5iNUGgATQ29rfCt9Z6trLybC31LLX+dH3tx7XVF2srL1Zu7a7cbKze8tfWwpWV8MbN4Pq1k1u3zuN4ZWWC66u/3EyfLK+PMuXnC7fWKCoaoRYoaoZKRiNUZnpqD8G+rfVsJXRgyxY6tuxbcs+USa7zuKYPddAs0gdcgdAqidKd+fS9Gm5qQleXehYIbBhosseWeoV8M5dpF2i/mD8vUO+zzMAAbb7ksaWxqowMOHCxb8gDFxN10RtLPbJwYCieLg0MMMDSYT7TZvKBJjdNyXNhH4l9ttQuZHtsZYjByNF6BuxgydOUnoU8G/VP/eyzzYdEIEIV9NnKfjF3kMs+LWbui/QTLveQzbwoZF5k1nczqWal1EZi25D6FhibyFfFgQX7LOPl6IEBBhbsA36Py5+y6aklccb3VZW8/T7gO0y+QaeJT3hAp7p0tiUwPQuMbTx21dDFnlQ5zGe6Mjusqv6pXdK3Yc9F70LOFhqaMDAU35B9Q/ZsQPbk0EEdW+mY0sBUxkg8KGYCTR7VtL4NA5vs2CBwYd9S+ro0dtDPt+3jmtZE3HOp9BxVvpdLpH6NFNo9VkovxNJzht7Jp0i9Yju13qJT3UK2T+cflAtMLlMsZDN0OlfIi6IIFSBJkgwUjHEsFpswfTqdJjPvyIQbCOF7TJ9df1xh+vkcYfqD9dXDtdVWZr2RT++U0i1d3MP8c6lE2gI8FHMP5fxDOf+9mP9RKr6Syx1d6NlKWEWhi894aGgjH/O+XGnk012RGVhgYIGwijxT8k2lZwHC9+dBovoDC4e22nPVnouIFx46qFMudJi8r4pdS+mZysCCfRt2y4VunvbSaT+T8cvFPuB7puJXP2TEM/iGTFbG2FWHVXVooz7gd9Kr5MWQVT6qGp6mtKCwL1cadPYVnf6xQr/ii9+L+fvl1F5qfTefPZAqXVWeWCenJBo6KHBhz4WerfRc2LOVvqWMaurAAj7k2myhWc75kAts0LVkTxf7ukQiAWeOta8DXwc9UxlIXJvJj83JYiLLi1D7mYEcOqhvAd+QPV3qWorvwH4VtzE/tnEPi/tS6QCxZ0bu2UsNz5lWZ3+eHXdsZbxh9FXJqxQ72Uwzl+5jwbOVsYP6VS3AUlCHDzlmLkLF40kqRsWilMAw09F4LBKNJhOxmalIhIpRVDyZoCgqSkVmpqZJS9FoNB6PJ5PJJBWhUreWe0+ff+lUZ2IxKkJFo/HlZNLOpl6WmFaaPigVX2VoL882C5WX2dRBMbdDp19lMvvFwm4+9zxLvyoWW7lSI1c8pAsHWfogm2nQ2WYu083TjVT2o2im6YO19OF6pp3Nt7P5w/XMwVq6maZbmVwrk2umaYJGKnu4ntlfTZ3vt3Ue7exah057OdrPF/q5gp8tdNO5ToomVcvvIZtrZHNNOv9xkAYPv0OvUOwzTLdU3Kfpxyu37t+48e3qrQep1Ldra+fxz/UJvl1ZfbC2/mBt/f7q2oNU6tt06m8rtz67evnuxYWP4tPLSx/F3UuLdy8t3ru8dO/y0qdXLnx65cJnVy9+dvXiZ5cWCD6/vHgef7585bOLl7YXFpzpGRiN8xTFUBRDUXIsdh5SNErARSNcNMLHokI8JsRj4tkdInEpEpffhxJNlClKilHadGRzafrL5Qv3V679sHrjyerKB9fhv8T91T/A2sq3q7cIHq6ufLe2+v362qP19X9kbv1l9dpnyxfvXl385NriJ9cW7ywvbV9frE9PO/GkGokrVJS8SJGK8VSkTFEsRclRyp5O3L248PXyle/Wbj1Or9xfW7m/tvJgffXB+ur99dVv11a+XVv5ZvXW9+upJ+uZb1fWvknlti8tX07EqeloLBJNUMlIJJKdm9nFyLNR15IDG3i24jvAM6W+pfQs0NUlEmr2hPIOkw00mUSbyVeYbAi+A9uq0MZ8z1RGDu5BoZnL+HS2lc9QOFgpAAAgAElEQVT6bKnHl9tMvpHPNHOZTjEX8pUASwcM3eKKI00ZWWjk4J6p9EzFR8IhXwx1ZWDB0MX9Kg4d1EV8q0j7HDO2MdlwAl0KpEornxlAeWSpQ1cnG/ioahzVrWHNmETU39/qfQf2ddDj2d1Sbj+Tfl7MfCvlnnC5R8xpJ5ICfSiWD7HQNETPkEMT9HW5b4FOMdfJZQcWHFbVAAqHYmkS6jDesyQCG/Zc1NWlnqkMDNDlmWYh283Tfj7XzGX8fK6jsF13YhmEDvIqxYNito/EcV0nFhJJuQYOCt1JKJSwBtmHiadKFGaBgzwb9Gzl2MGBUN4vpANdCl3cNiTiN3YNsWvJgaH0NIkkUvs2fCWXH4n5x0qJ9C29z9L3+dwDgX4KmH258jKf2qdTe6nV3dR6O7XeoFPdPN3PFh8wxXI+W8hnMnQ6XyyIoqhIsiRJAEEI4enU2lOmP/PpT5k+my5k2WzGpFNP2DJh+k4+c7C+2kitetm0V6SbbH5U03wH7gGWtO39QSp8J+UfyvmHYu6xVPhRKu7DSlMTOqZMPPWzIPPYQSES9vIpny2eGLBnyn1LGdTehVnep3nQs1Bg4YEFyafVr2IShxmqcreU75byfVUKHTTUwVAHPQt0yoVOLuul070cHQiVQJM9G3SdSdrmLMR9ZusRGzMwJjnyYVUd6uAwn+mZylFVO6pqrzfsgaP5Ouho8h5gW6XCKzr9JJ96VaIf8bmH5fRean0nl9mRyw1VbBuKb8KeNQkGhA7qOyBwYd8BfQcQph+7ODSVw1L2sJTtKexxVT3eNEik/bimjevaqKYOq2poq5Mouon6FhgiqSMwRMlICP7s7QxcPKppBAMXv9M6uLhvgdAEb2tmDwodyB2CypllMAkVvB/z/4DpBy5uGuKornsKR4oFQok7clTfgS1UDupGqMp9R25ZaIm0XUxSUSpCZq5HKCoWiyXi0cuzc7Ysb+rqX+7cqSF0z3X/VKs5inJ9cSlOEceeisfjmcvXUhevxSLR+PQURUUX4onyjevm9Wv1S5erK7fQ1SvOtWXz2nXr2rXqzZvm1avapcv29WXz2nV85Zp545Z17bp15Vrt0tXbF6/86cK1ry9c/+7i8pOLNx9evUrw4MqV8/j+6tUHly49vHz50fXrj65ff3j58oNLl76/evXx8jK5heCHa9e+v3r1uytXvr9y46N4eH35H1evf3X56r1LVzYuX3GvXjOvXzNuXNc/xDKBtnztvwV87Yq2fA0uX2OvXEjPzyzPxK/PxpcXZq5PJ85w7RyuTsWvzySvzySvTSeuziavzk8tTkXiH5tH9+8R/wP84c/56QHk8VNxaib5R+MFyEs6neN2fkTd2YiY2GSCQDwWScSpJBmmE43EqEQ8OpuMLc3MXJybW55J/rdw/Q9wdgHJJV2eSd6YnVqZnV6amZlLJBIRKvaukT9FUVQ0QUXi594vOYhQVDxJRRNUhNiy0alkfHF25sL83LXpqWvTU9dnpgmuzExdnk5enk5enU/cnEteno7fnJ29lExSUYqailKxaGxqlopR6fmpHQ36ruq5YGCB0IGBC4l/37NASxcDB40s1OWZHSYb6goJ8g1Onau+BQjDkVDi6w1zgKXDbKqTTjXodCCyoSr3kehzTKeY6zPFoch5QvmAobsyS5TL5IShgwaa0iznfbHSU7hQV0YWGpsoUPg+Uxwqws9bzriuD6t4ZMMBFLwi3ZPYUFfIBhvYcOyqo5oWOOjMmydk79nAs0HHVtqq1BbZHSa3n069KGS+VfI/8vmXDH2wvr6Xz+7zpT3ANjWJ1HON6vpJ3RhYsFWk+0zxqKodb5onFh7aaOTgkYPPBzsnfF/FbUPq23Dsqj7gm0WayPi9HB0WCx7kvSoizvrQhN083SzSoSofbRgkxjx2VcL0hJjONl5CWL3T/bZnKuR4aMNjHTTy6QZDD0yFMD35l2dKnq2EDuqZCtFrN3X5Baz8IBUeirmHfP57Ln+fpb8Tco/k4h5m+6rUKGQPs+uHa6u7qfVmar1Bp9oFukcXHzBFJpcp5DPZXKZQKgqCIAmiKIpIxefm0/8ueo8QYnnujOmN7PoZ07dz6YPM+uHaajeT8gt0ly38tGm/3nJ9E+4C/oVceSwVHvL0fT77QKC/F/OPldIrpbSHKg1daBvSaSYe9W04ctCRAQ7YXIdODyS2ZytDG45Paf5d0P7sc7IxiYr0z8L7Ngx1pVcpdbKZTjHXV6Wxqx6baKyDwIbNcr5NZ7qZdK9UCJEYOKjnIv98ZuiU40keKzjNoAQ2DBw0rusnjtbhSn3Av6kaP23ab7fswMKhqwWO2oD8oVh+Vcg+pdf36cyPFfqHcmY/ndrJZZ5LpT3INTSprcOOCbq64ulSYMPABgMXBS4MXEjCbmMHBarYyKcbxUwI+F/q5i/bzptN8822/dO96smWebxpjOv6wNEI0wcWDh0UYMkHfF+VRg4+y8OR32c0T24h13BkIVLy8HbD+teWO9bBwIJtVfAMmSTtzuj8A3zA9CQqFWDpIJfulAsnFib2chOX+1tOX1V8ix/ftpirF8gUmkQsmYxPRajoVCK5OD37WW3j1T+++Z+94P8dj/7T7/7Pvvf/DIL/0e78T89r/vDd9fnZaDRKxSKxqWScoqZPx6JHKIqioovxxAxFLVDUfDRCUdQMRSUj1AxFzUWi0xQ1TVEz1GSe2ywVoaJUJELFotRslLoQjVyNUDepyApFXaOiv8dVKnKDii5TkWUqcpOK3aRi5PgGFb1BxZap6DIVvUHFblLxm1T8FpW4ScVvUNRHsUpRNynqGkVdoKh5ipqmqESEikUp8grfR3Saik5R1EfxsftPzpaIUIlIlIDMoEtQkRkq8VFMR5PT0eRUJJGk4slIIhGLk2KbaGzqv4VYdCoem47HpmPRqVh0KhpJkoNk5A8Qn0nGZxKx6WQkkaCSSSqZpKaS1FTsDzBLzUxHZpKR6XhkOhadjkWnYrFEPJqIUfE4lYhFyHw+wvmJGDVFzpagEnEqSpCkktOR6T+6Dn+EqUjsFInfI0nFz3B6SzJBJeJUPE4lkpGp6djkbU54PRqJRGKxSDJBxRNUfCqSSFIzpy81GafiCSqRpJJT1BT5TZCMTCWoZIJKxqlELBaZikQiFDVHxaajyTkqMZWYnY3NUvE4FaMyM/EdIHou7NfxiCQoHTis4pGDfEP2DHlc18c6OMyl99k84WbyFT7Lynk2IMG/o6r287Z7bKseU+jl6GYmFQJh7KpjVw0Uvk1nunS2Vyq0C3SbLY4sNIlFm2Dg4vGG8Zul+8V8r5D3cnS3lPfLxQFbHpSKPp31xcpPtx0iRv7ptv3rhvUWyQfFjAdY8moHFggNOTBk35DOrIeeqXiG3DHltiU3DfEACw2F26nkD9fWX+Yz3yr5p2zuIJc9yKT3y4U9wB5goasrIwcfbRiDDf3thhWawC8X36rw7R33eMsaGbBvAeKejV31jFBOeQR6hty34aimBZrcZosNOt1Mrfdy9LBYDLDUr6uBoQxNODRhm860inQAhcl5THBU1UiqnnDQmTRq4OLQxX0bDixIzJqeBUITDHQ5kCq76RVPYIaGMnAx2XVDB/Us4DsgdJBvwqYm7SP+JWKfwfL3Yv5bLkX0d4/43CtQ2Ve5vg1fVzWvUmhl0431tb10qpVONfLpTjHXo4sPS8USnSZ5+jOmlyQJqZhl2Xg8/o7pz0fvf8/070XvM+sHqyvdTNov0K1S7m3N/Hm7FtpqG8N9JD6XSt/z9H0+/UDIfCflf1CKz8TiK1DZx+yhxrd0sWPKvqn4luxh/tiELaW8v3y9Q6d7Ljxy8cBUSNUBWQdET3EmSZvcYoHAhYGDAkPpI7mTzXQzaa9S9A15UFVHBhzrIHRQmy0SOZ5XKfZ1OaipoYtDXSG25HnlGvmcfHMiyhtW1WFNG9W0sY19sdIq0oHCDzTlqKp1dYnkzjtQ2MP8HlfcyWWamcxLhn7MZBrp9E4u86NUfAUqe1g8VOWmqrSw2NHEwIYnNe3tlnWyZZ5smaQ3wE8b5omFAo5pF7I+WzxW5TcWfls3SK3/qIZGNZVY5SR63zdR6KBAk0MTdBE/ruskRTcRc56zLs+n3kcOJin5txvWa1s9cbSxq/qm4psKWaz9c0z/bhGfM4SHNhq76nhTP6kbIwO2uCKx9LtI7OtgWMXD7erI1Ic15afb9tcGXp6eS8TiESo6PT0biyViFPX0m/s/t7v/dy/8dXf/55fP3r56/uv+ztGTR/+xs/v22fN/ee3+7suqqiWmklSEikcTyfhUbGaKilPT0WgkkVxMJKNxKhalEokElYzHItFEIkbF4tFYIhp9b/BoLBZLUvEEFSezX6PR6NlUtEj0PURjE3xwy9mfsTgViU7ct/P3J2Pjf49TLzgaiyfjial4PBmLJWKR+ISbqfj/IZKRxEdBJaepeJyKRqlojMzTi0bjH3eTqShFRSOR2OlYPPLnZLD6/48J8GfX5L3b/+iZI3EqEqfI6PbTaX7UuetHEKdiBKcPI5GC0yF+FLUQic1SkWli0ESiiUiUTMU9nQJLkXm6keRkNOzvhs3+Fzj3k/g9otH4BzidYDsBmTAbIQ57NEpG6b77HCPR6JklEqciSWpirsSp3z9RJBqPROOxWCwZnbw/KhqboeKJWDIWiccoaiZOqdcudXXYteReDY0ddOxqA5dUJEGiKzpy1FDiDtZXG0KJBNvPmP6MTX1DJvHtt1v2m6oRimyvkO9kMyESQxePaloIhGZqvZ1ab9OZTjbTFyrHNb1HdksThA4abOj/qlp+udgr5P18zivkWtl0J5vx0ulONtPkS+NN/bimHde04zv2r59UfzFwq5juyczIVk421Nd19cRFx1V0XMdv6ubrmkFc5I4mNjWhoQuHGv8SsQeIf1nJN1bWduj0N3LuKZPtprPNYn5PYHY1oWHIfR0MdTCwoF9FRxZuy5VWPvsaKcOaNtjQj5xJ+pXgPZq3QN8CZPcLXTxycE/h2gW6S2e9HD1kSgNNCTa0wFCI+KmRz3RyWZ9jBpoydtXAUE6qenDK8efjpoRTBi4eOXjg4omw2kIDKHSYXKuYHQI21KTJsxuyp0ttVWiofEcTGyq/B7kXMvNELn4v5h+K2ft8+pHMPJMrrySmo8k9C5zU9d827W4536YzzVR6L5tuZlKHhXS7RPfo4kOmcJ7pz0fvOY6bm5t7j+nPK/KYSvkjTF9Mt3Pp3dT63uqtbibt53PNQvbY1l9v2KGh9k29reNdxP2oFL6X6Idi9qGYfSjmHvG5FzKzi7g9VDlAbEPlPUMmcacTV/UNyU+nBqXCcFP/acP8Zcv+act6u2m+qZsndYNUXwxtlYjChjYa2ZAUfA+r6sAAAZC8bMbP53oS67mwX1eHJhzqIHRxl2e8Qq5LZz225Blyv64GDgpV+YOo9VnkwDeVYVWdZAcs0LNAqCu+zHbodLtEdwTmaMMgCfvQBCMD7pjSnlTeL+a66eyrQvbHUqaZyezms4+lwjOF2YH8HhQOkdSAfAuLoYMI07++bb3Zto83jTcbxi9b9htH/UWDHpNv0Cm/XBgp/LEJRzW1Y8t9SzqtCwCTJL0xWa9HG0YLccebZlcTfUMeu2pfl0lRXHCuQI5cNBK6H9W0oY26MnviaEMbeTY4nxk5i/8HH+P+oY2OqtrJtvXb3frQhH1VCk3QgoKvyqEOhzbsVa0j2zxyYaCKO3fvrCTmZqnYGQ9NJZKf1TbGz1+9ef7yPw8b/6vd/L/ah//Zbvxvv/u/2p3/7fkn+3v93Zevvvvh5s3lyFRisvVPJ6golaQoKkLNUhSVIJNMo1Q8SuK9hG+i0cmo8mQ0MhWjYlFqKjEdjyejZKpsNEI47ndh5f8ayamZeGIq8m/Z9H2cBa/fj3N/QJzv7v8HcfE/oFvixMep6LtY91mg+KOY3CVyxkmRCBWLU2eT5j/AB+Pqz3A2kH4qFk9GYwRTsfhUNDkVTf7eIpmOxqciselodDYRXZiOz8/E56bi0/FIYipKkJyOEUzNxKdm4jPT8Znp+PRUYm4quTSVuDqVvDWVXJuZvjqbvDgdm09Qswlqbjo2Mx2bTlCJKPVuMNfE3ohFqHjkj6/bH5ov//b/k/NH/u0VjkYisWg08uGjJiuTipzLgESImRKjou/u/P7ZSF8pKkbFKYpKRJJUlIrHqFjkUjSRu3b5a5b5ZbPetxTflUcOel2zjqrq2EEDU5lI1rHULRc62UxLKo9tTApqzitv+qffZRJePnLUHl9uZlJejg6g4Bly6OIQCESHHzIln84GIjtycFMTBi4e2qhngY6tvL5tH/LFrlgOgTDAUlcsdyvFVpEeC1wX8aMtI3Sgb0jdKgirKJTZTinTqdBdhRla8pua+tOG/vOm8cu29euW+9OmfeSoni41IHuA2H3M7qHKU8DsQe4Fm28SphfpZ6Wsn8o2ysVXErOjCx0HDU08VpVQVzwXhkg8ZAsNOv0aKaSGcGShngXOK/LOg3C/byqBg45reojEDpPv5ul2gQ6ZUqgrwYY2KVB08WGJbmfS7VIugMLYxn1VOna1oY3OvHkSEiZ7LLngx642cPH4tnW8ZZ1U9UDhWsXsWOZ/cfBrGx9V1WFNI7KwjiYeIHYPlHdh+RWoPFOYR2L+IU8/FLM/gNwTUNmB/IHChiYYOfhNTf+tbjXy680c3Uin97Lpw2xqf8L0+QelPFHkZXMZkqcn2nsytfbChQvk+x+5efMmQog0xCWz7Fi2XMjl6VKuSKer2fQPfDnMZFtF2stmGutr+9n1Np3p5ehWkSZZ81BXhrbqm7ChC7uIey6VfmDz97nCfZl5xBUe88WnUvk5KL9UykSQHzro+Lb682392JA7TPZnE//s6r/cqQ5rGiH4sasO7UnpxZlpFppgbOMjRx0Z8MhRjxy1r8vtAt0XKmMdjJxJsoSEsoNyqU1nmoVsAIVJqITky88JNM7Dr6KeBYbmRLo/EQaaSo+tHGTSXaZ04hiDDbNhyB0TDF2zqctPUWWfLx3m6WeF9Cs6vZ9OvSrnXsjMC5l5IVdeKuyOwjUg39XE0AQndf24pp1GLODAOi07sZUA8n4p18isdYRS6ECSyDhfGfKOhm1IBAojBw8s2LNA6OJhVQ115fQ+oG+R2ht5YIGhDUcWItG8DmT7utQz5Z4p90yx5yLfgRMZwVnV6fvWz3lBw5st/dc77shCY1f3TdjR5GNXa/OlBgbtKm6Zoq9xQd34rFK8EI3ORGeo6VkqmkjE4ok4FYlSMYrSGGb3L1/v//3ve//8x+Mvv3j0lz8//ftff/z7Xw1FXJqfoigqNh2n4gmKmqIS81RiZjoa5y5eXlu6tHLh0urFy2uXLq1duLAyP7++sJBdupBKJujZGfnG8mal/Jks3eHYTaa0zVY2WcHOl+TV9cLlK+sLC7fm5m4tzK8sLiwvzq9dvrhycWl1aTF9+VLq0sXVpcXUpYtrVy6vLC6mFy+kLly8dfHC6tXL6cuX12bnYTovrK6Xri1nL1xKLSytLiwQpC5dvDE3m0vOpRcv3LywtHbhwq2lpWx8dnVm+saVxfX5aXp+Nru4sHbhQnRhZuHilSsXFuauLC1cu3j94sUrc/OzSzPTl2YXFmeWklPXL1+YX5i+cGHxwtzSxbmlS4sLFxdnLi7MXpiburIwdXk2cXk+fuXi7IWLcxevLFy8fOnS/PzVmZlrs7MX5mdm55Kzs9MX5hfmp6cIFmamF2dnLs7NXZidXZqZWZyevjg3tzQzc+v6teUrl5evXM6lUxoEVQ1rkqCKvCYJQjFP37yRvbFcXFvNrN6k11eya7dSt5ZTt5aza7dyqdXs2q1sZi27vrK2vLyyfD2dWstmUkU6rVRKUEHlQr6UWalkbrCp60L6pphZ5dZX+PQyk14u5VaQwNSAsqkoGwjWNOAacAuIW5pSBfwnEGwgWHXNLde1a/WtWrWuw01drSnotgKfbm027tSf1zf+DuFn5fJdpvRJufJJubJZLNrpdPny5eziQnZpMbU4n1qcX52bKVy+lF1cyC1dTM0vLlLR+Vh8aWZuLhpbjCcuJZNzsch8PHqGhURsMRlfTMYTyenZ+PTNuUv00jV66dpyYia9eCm1cHFlfil14fLa4sX1pUvkd/bytfTFK4WLl1cXFpYX528sLdxYnF+9dCF19fKNpYVbFy/dunjpxuzC9anZW8m5tamF1eT82tTC2vz8yuLCrQuLKxeX1peW0ktLqcXFtcXF1aWl1aWltQsXzkBuSS9eIkgtXEwtXCxcWZZTtFXmv+ULraoW1qzepOcdOnbwm5p6VNVGdd2vIs8GAwOcqOAwm2rmMoEujUnPMSLTc3Cow5Gl9h0wclBfE0Njkjf0+VIzl+5ls22xPNKUwFCOkOyl03vFTIhEn2MOy7nQJMlmNLRRX5dbmCcOw2E599rVBy72sOAJ5U4u25e5gQF8U+nX1a6lkFzAbnp1t7DWlooDUxo6SmDLgS0PXDCswpO6dVK3jqrGwMJdVd6H3I5SeQUqT1D5BWYfVbIHq2s7RfolQ/9QTDVy9I5c3odcV1d8E/aMSUne0ITDYrFTzLX5Uk+Tzog8IFF0C5K8A8HkTxf7DvR0aaiDvi4HDvKkChFud8uFgQW7ltI/9STbcqVBp/ey6x2B+aVujTRlqIPjmt5z0Uc358CGg6o6rGnDmna0YbzZtHoK1yhk32jw7Ybzdst+s22/2dKP63hggbYq7CLuOSg/R5UfIfuDXHkolEgj+eegvCsyh0qZRG19UzmpG69N3CnS7Vy6nUkfZNKt9bVmfr1byvUyhQelfDmXy9GZfLFA5wqiKAMZSpIkypIsy9evX59En5aXl8l8ekmSFEUCQOa4yr9n+k4u28vRrXyWaD1CXRmauG+ipiHuwvJzqfSjyHwvFr/h8o+4wiOh+ERinsHyC1jZQxUSzT6qoZ83jQBUumzhtYmOHUzEh+ev2vmcMSlOIwF2kk0PHdTVJY8p9PjyAEvkMyaMHtiQMH0rnw0Ufmi/e/gHUsyz85M8FlkQk/y3jUJd6fPlRj7js6WxqYau1jZB14JjV+9acEcXmjJ7WMo/L2Ze0em91PpOkX4ulV7IzEuFJUx/gHhPl0LzvdK+0/42E5F8gKVQZFtFus0WA00+L9r/PcYmIm0dhzogLnj43oJ7x/ShqQwsMHZV0n+3LVf6mji04cBFYRX13HdR+jPVQnhqnJ5X+REdw6imvt4wRg4eOJpvQl8HAwM0mFyvwAyRNLbg2IJ+TdsspePUxGdKJpPEyZmOx6Zi0fg5VyYSoyJErUVRMxEqGaGW4tHpCDVFUQuR2HQ0HqGom3PT3yD4tq69ruLXVfhzHf9Wgz/pwpFYGDApj8l7lcJI4X+21V+qxhsLH5vwjaO+sfAbR33ram/rxttN882m+XrDON40fq2Z/7Hp/Foz39rqGwufGPCNhf+1Yf9cBW90/mdD/K0Gf9pEP2+r/7qt/eaCNzV0UoPHVXBSg683wJtN+GYLvdlC/2PDHgPhOF8Yi+xbW/sfNfu1Bo8KxUGpcOTCMeKHmD/eNPdsvA2LX6jS13e27tTM267+manfU/EGFLck/msA/gLRnxG8DcQ7GG9C9RNsbAFwV4PbqrYN4F1Fus2Xb/PMJ1i6a+mfb9Y/v3vvbrV2G+t1BdhAURURiaIqiKYCTAUYskJgyoohybooWQowZaWK1b99+tm3X3711d17n21u3atv/Glr8/PNjb99eu+bP3/xxe0tBwKV5zDHqjyni4IuCphjMcdqAq8JPOZYmSubsmTKiiZKOgAmBjVdveva/7j72eeO8wkUP5FLd7jsXb7wmcDeZcsbbGkTcDWs1DCsyXJVEKqy4ELJKRe/kMXPkbwNhT9rcNuA1ZoJJf5zx/16e7uGFVURqqa2BcA/MGzVnYEpDS35uIpONtRxFQ5tOKziUU3916b5xkFv69rruvq6rh5X0W/b9q8bxvGmGbr4qVD4Z2H9H6XUfSbzWMg/qmS/raQJ7rMZMgzzPpv5tpK+X159KRfGLv51w3htQ08uHDvKb9vmSQ3+fFv/aUv7ZUv/ZUv/aUN9U0NDQ/gVcW81/ucq+HUT/1KD/7GB/7Wp/lQDv2yob1wwBOUuk+7m1jx6tZO51c2udEClo/Kkm8VJXf9pw3y7ab7dNF9vgI+jjt5uquSpT2pw7MhHrvK6jloW6lWN0NWGtjq28cAAAwu83jDebljjuu470LNBaIIjAx6W6EYhGxjyyEEkSBm6eODingEDA5J+XD1NGhhg7KoDAwQK3y0X/EymLZbHOghNcMb0AywFIkvqyEMHkZ4wxHoYOdhTuEYlf2ThgYt9VfSEciub7laKYxORMrOeBQJNblUKB3SqC9m+Jk5UhOd7mRgwNNHAwj0DtlXpAPG7iNtF3GNcfo4qj8vZg9W13Xz2VSH7qJRuFvOHWGioomeAvo0n0mxN7ihsJ53ymMIAS+f7gpzlZ39PJYENfQf6hkyYvueirsx66UkxfWAong1I88GBAfpIbBfovey6p3BHjjrQlJGFSG3XR89Msp/BqcM5cnBXZg+K2aEiHLvGSd042TKPN7WjGupbSkPldyBLcvOPZIaMqnuslF/AyivM7YpME7JkK/YMeeTgIw0QUXwnm/k90zM0/QHTy7L8HtNHIpErV65Ipz+KIkGo8Dz7R0zfTK0fZlOdXLZPv2P6gQFGBh7aqG1IuwqzqzD7iH+qVP5Zpn/gC98JhR+k0hPAvMDsLuIaKt/VpWMH/rphtPliV2ROXPXIxYSnP+pQhg7qV7HvTGLLJNHi2aBtSD5bajP5rlgOTvUOXUvpucgvF8kEnb7MDU1I+kUEf+yzBqeWIJGDBjYMVbnHlztMvlWke3x5qIO+DbvWpIufb8IDTWxB4aBSfFHI7NDpg/X1g5AFQ1cAACAASURBVFz2GV94qZR3IP8CcDuQb6iiZxDy/gCnT20CknHocKV2KRcCITSB73woSDzDaxX0OKbHMUMkEbf+TJ94CtC3FELzAwsMXDw0YajKjUrel9m+LvdspW1JxCT6oDbvAwuD1NUQBC4cuIh8nXwTEnVeq5TrcUxfl0MHDU04qOqPNXGrlL5dzm2srqXnZ6gIRc1NUdNTkWg8npiKJJLzs3NTieTU1FQ0GiWJ+VgiHk8mYlR0ZmYmEY8mKSpGReOJqWmKykzNv8LcviG1beg7mFhFvljplAs9hfUA21OF0FT6luKZUseUuo7i6bxnCr4l9mzJd2XPkbq22LEE3xB8Q/B0vmeKYRX0bKlr8L4legp3yBYaXNHDQtdSug7wbOAZMlljPQt4NiLomKBtKCNbasn5RurGXnG9q3EjW2lDpp1d8+nMwFRGUOgDvmfq3wl8na9sceInEtgGcBuhqiRtGOj2hnVHh39T0XNL/7vMfSqWtyTWEYQ6hDrLbEBxS0K3Of4zgf1TJX+vmLrLFu9I3CcqulfdvKNbGxK0K5xWqaByGVcqOssqxaJSLIJSCTKMWi5rlYpaLqvlslpi1BJTV8CXm5t/u3PnrmVtqarJ85Yi11R8r1b98s72tm2ZsgQrZVgp6yxrcJzOsuThOsvqLKtVKkqxaHCcUeFhgQFlRhP4DQTvmeZnunFXkba5wnZp7ZPCrc+Z9J8ruT8xubts+a4k3lbkqiRVebEuSXVJsMTynXz+qW4+c+1HBv5BFP7GVL6B6K8M/zdO+Ieh3YaSqYG72/UvbP0fEtc2UVgFgxoc1tGgBvuO7Fty3wGDGg50rg2LnsG2TbZtsi2jErhS3xYCXRoSvZUL/SoKNrSwrjURN9gwCYab1mjLHmyYQU3vuWpwp+rXjJ6ljix1qKNDnmmKTEuptFXhjDAGFhwYwEfCbpk+oFNNttDTpIlY2pB9UyE66q4u7Uml5/n1l5nVndTKbnp1L7v+I7v+XMy+xMVDg+3aYmDLfUf2HOn3XzFy0NHESbH7uS2ub8OxqwcG7GmT76lvyKQo68TCgSZ3tMn2cuSoXcC1pPLkhCQNV8WkP0ffhr6rhq5GhL1DVx9YOMCKx5a7qVRLYI4MOLTRCMvdTPqAoYeqHErcIVsg++FkY9RlEifoQaFRyQ91MHKwb8i+zB5mUw06TfrYEFryFO4wn/E5higGJlvZ6Q4TmoAUEwUWJnq0PcgR2vseMc8U5imTba6uk9myT5nsIVs6VMVDLHR1JbDwyNFGFupB4ZAtHKbWfLZ0YiCSQe+/X1v4EafRBIGDiMvU1+V+FXcB182ku3S2VcoFhuI7MKipAwsSyZdXyO1l14k6amijY1cj7VI+yvTvtlDSddQEPSy2uGKXZ0aWelTVjjeNky1zVFN7pnyo8a8w9wpzPyolMqrusVJ+jirE4tmTym3MT4r9DDk0wRBJH2X6frb4kCkwNE1n0/+O6SmKWlpa4jiONMiTZRFC5d/59OkJ0we5XCeXJZcmNMHIwAMLdnWpibgW5lu6vIs4MpbnO6HwUMw9AqWnqPIKcwdYaKj8iYV+rhkNvtBWyq83jAmdv8/u731Up4UN7yociA8qc81y/pAt9DSJMH3HlHs17JeLnVy2k8v2hcpQB+EfiMzPnohUZRBrw7PBwIKBwndy2T16rVXJh0ggMlSS2PZ0qYXFQyy0kXjAlV7mMzt0ei+1fpjNPK/kXknMGdMfqhMR4ll7WtJ59+yrPjAmHSu7YrmVzw5FbmhC0mgp+N3VCB00RJLHljy2NFTlgQUJG/3urQFC80Oy9HVlgKU2kw+BcOSow03D21DPXPYP8NGLT+y5wJ400PANeeRgX2abRbqJ2WZV6WzggaOdOMbQ1fu2duRaJ7drj6GUmUskz6UwE1NJolKajk3FYolIIklFoxRRisWSVDISn4vduHllemGKSlBUlMreuN62sVfVe1XDs1TfxKGJBgYaaLCPcahpI9Mc2dbQMkN7glHVGrpmaOuBpZFGwoGlBZbmm9gzUM/AQ9c8rtpDQ/OB7Etij600CrmDUt6DYt/GvoM9GwWOOrDwwMKhiUJDDQ1yEiOwjKGhdRXJy+QPCgVPgyND68hyv8C2S5mWwQWG3NLlZ0D8U7l4xzW2NdMRlb/Utr/75M+f61UHIltDNUX8WtcPVfCdUPpzJXebZ0y+4kBgSkIdyi5AVYH7HHBfSsXPucxdIbchFh25XFfQJlS3FGjzgsaUMcMYHGuLgsZxKstqHGfyPKFqrVLRWdYRRFeU7pnW5457R9NtXthCuCrJVQirENYx/sS2t3S9rqmmLKk8p1Uq5IGE8s9OZQmCxfEaU0alEuZYB8i3Mf5UU7cwuIPEe6B8T8h8xq1/KdBf8vlPK9m7TOl2pbzBi64o1QC4rambSNoE3Nds5Zkkv1JBq2qMHbtnWv3aVmhuPhHFv1XK90RhA8qbSPmrBl/oSt+Gg7rbd62OoXZU5Bta39QDywhtM1SUrsCHGiYfiq+jgamFhnpkm4GOe4bWM3Xf0ELHer21cbxRG2hWqJoBNgaaNdCsABs9qPlADRy9b6o9BAYIBqLYKuR9kRsZuK+Doa0GBgx1ODIwmabR4SuH2UyXr4Q6fFf1amPfwYGjejY6xMIuWyAS8d3U+qtsaodndyT+ACttHQe6NtD1UNN6hjY08dDEAwOdgdxCelMSN3ey9mx14GgjAw6Md2G2o6o2NlEf8ENF8AHv6RKJ6h1tGIOqerY9EprvuahXw/266leR76o9VyXC3r6N+yYKNNDmJkx/TPpzAKGTTjUq+bEOhkhqCcy7fKiNSCR/4OK+KrUqhRCJhPB6UDjIpRvp9RNjUht1ZOEuzzSL9AjLo7pODJezSp/JzmarA0cLHLVrwUNVfAUqz0H5KWAeIea5UHxWyjZX1/fSqYNM+kU5dyiz+4jfg1xDFfsmGrv6sasNddCV2VaR7jD5UOJGBgxJgNP9kIbfi+MayqCqjhx8bKuBoQQ11YN8J5vpZDMNJkeKFAZVdWijsQ4GUGzmMgfFLMnnjuv62FVDXfkjpifpg/5pYXPfAkMTdmW2yRZGBh45eLxhHG0Zgxr2DHkitleYJ2LhByH3RC6+gJVdxO0CdgcwBwrb1USyJxMZfwiEdiHbLWT/T5geKugjTD8/P1+pVAjTS5Lw75m+mUkdZlNdOhvSuTad6WmS70BSfUgMOt+SycVt6fI+4h+LJVJ391DOP0Hllyq3h/lDLAx1MDZRQygdcIWTuuEbcuji4P2q7vP+9/moMimUJFPvjizcldmmyPR1mUjo24bkV1G3XGjls20647MlEts/s/h+b+sRM5Okq0kDh5GDh4rQyWZ2c+u+XBmRYjYXBw4i7esPEN8EfBuJ+3xpJ5fZy6Z3U+uNdPpFKbvDFXck9hXgXgBuXxWahtg2JNIwgHjz5+2MoTk56AhMM5cZSfzYxr/v8HN2KTxD7iK+h0XSOYfEkc5M73cGgQ2HNhyR7IAm9wF/kEt3uFJflbqW0jDEjiqcgczBayGuCVkypd7TJd94T71IPF3C9CR112QLh7n0EIl9B/hVNLDwwEAk1hIYcn8T9W34ki1/ubJejESvUNRcnIpEqKW56YV4YoqiZqjoDEVdiiWvR+JrVFyLTN1bvfEtn3sOufsM/QPgH0lcG8NRXR/UsG/JXUP0bCWo4X4VdS25WVW8Tdy7rfU31V5tMomn74C2rbRtpeuA8/Bs4DvQd2Dfhr4htwRmv5Bp0Ok2nenmUo3c2iGT7ipMaEkklRhWQdeRTqGQRiWky+FxVfUA206t7RfSgaEcWbgllduZ9IgujlT42tT6pv5K176Cyqf3tu/e3taAeAeivwH976L6ABhPoPaUk9pIP1LVQEXPRf4bWbnNS1tIu6dZ2wBuGKYr8fek8pdS8UuB/gssf6EJ9zS5LoibMthAqKooJs/rLIvZMuYqiC0jtqxyFV3gdIFTuQo5rkNYh/AT07xjGHUITZ6vQ6izrC2KliCYPF/HuI7xHctyAcCVisZxGscZgmCKoiVJhiCoLIvKZZVlUamEGcYURQcCG8hVWdiQuG2gfI6Vr7DwF4X5GpT+Dip/lZg/ccW7XGWLrWxDvKkZdd3Y0PCmItzF4gOO/aFYeAG4fVf2a9p+Tf+nJn4D5MdQ+qrCfCXKX0nw8xLzjVDeVaWmJjRhpaeJfV0KdGlogaGhjHXltY2bIrPL5jxD9h3oV1HXAR1b6ZhyoAuBLhzV0HEdD2w5NJXQkH3M91xEarV9BxJtCunG0TZEvwqDGh67uCOUXuVWmlIhcJWOq/Q2cNdROrbs2Qopi+2o/GEu5QlMYMin/a1B3wE9F/YtxbOVA5Xd4XMH+dReauXF+o0fMzefyqVnsPxc5fYNqW2CnoV8B3sO9lzZc2WytMixX1V6NeA7oGvJHVvuOorngo4tt0yxYQqBIYcODF3sm0pPk44MOIaSxxRapVyTL3U1sWcBz5A7mti1lLYltw2pqQkEh5g7UDmiaW8ZSldXOlgifT4CRx3aalfmvXS6JTBjE4Um6ElsO7Xe4IpjE41VhTB979SnP9seCdP7Mktco1BXDsu5bp4eqvJk81HldinXrRRHmhLWtZ6LSOiRJCsnLUBsNbCwZ4CGJu1h/gWsPIPlZ7D8WCm9rOSf59OHa+s76fXDtfWdSv4A8QdY2AXsIRY8AwQWHrvqkaMOddCqFPbp1Ds9lov+KLQenHZMGVTVsaueOBrpSUqYvpFeJ0zftuTAQaRTS5stHubSnlQhrubxpknSu+eFfh9kVwcW7JnKsKoSzdPIwT7gDxiaFAuELg5qqmeDQyy8VMpPlcoTsfBYyD8RCy+V0h5mD1TuEHMtzDeRQMqzSbx5aKMQCGQme5fOEqZv5NY6RfrfM72iKO+i9/Pz8yzLAgBEUSRM/++i9+eZPpP2sEA84KGNfEP2TGlQwyd1fdJm1cYvlfJjIf+Ay94X6e9B8cyt9zTFV+UOFPYquaEJe5o0rKqB+16ntvPsdVY1QQbQ9bDoA36kKcc1va/LHhaIRpF45L0anjB9Jt0t5QOFH5qTdfahwO18L0YThKcBA3Jl2wW6yRb6qkQaHnmT6gipqUl7mO9AoY3EPa64T2f26cxzOrWfSe/mMrul3A7HvJQqLwD3CnP7KtfQBU8Xe6YcnBMinLdpAk1ulvOtIj2A4tCEvvOHNmnHAZ4NQhcPaxoxYEl7rA/CFUMbkclA47o2tGGgigfFTJsveojrqEJD5T0seHjC8Q1QOVTKBE3INiFLiL+NeWIKdDWxqUkdTBoDwFFNHbtqR2DaTP4nDY4c5JtKqCuhrng26NfVwAaezo+w1GeZIUZt1/o7YOv5tY3COiimtEJapdNGKceu3eDXrpvp1a/4yqtC+Uml+IjPvZKKryQm2LSHm9bbmhlgONDwQFcHujq09IFjhK7Rc3TPkcIqCKugb0mBLgx0cWTKR4Y8ctDIQWMHjR00suHIhiMTjEzQtxRPF3ua2IVsq5JvF7JkwPYwWxiUK32BC4A01tBYQ6EKBgYKVTDQ4FBHQx0NNBiqIMBKH8m/bdp9mfVS691yfmzB1ybqCExnda2VKQSOHqiojUC36n6vand0fBdrNZ6+b6GXdeelY75Q5H2u7CncUQ2NLPV11Wnq6Imu3ZXhtml/vrm1ret3LavGsXdZ5q8c83e28BDyD3T5n6q8xfM1nnMk0QFyDaENhBwITCCThLouCoYk6jyPymVULp/RtiVJtiw7ilID4LamWYKwhfAX1dqfNza+qNerilJDyJZlS5J0UUBsRS4VCRSmBCtlkrDHlYopinVNdRGwZL4ucZ/I4tcIP9S1xxp6gqWnmvRUUx4C6RtZ2VZ4l61sYf2OW/9kY+uu42wr/FdQfCiUn1ZKTUNsmFxHFw6r6pcy8yeucpcv/BnIX0PtO2y8UPE+kvcgtwvY52LuELMNrdLEZc+cJF+GjtIt5Q5zqRGWxhY8cvHQAqEhh4bcdvhuVexvKC2LbRhlvyb5VaVjix6qdADThWUPVQj6Gj+ylbGmhhruqXCkYq9U7pVKIyCPDOzraGjpoaEOdDXUcKiigYZ9ILcyub4ghCoKNTw0tLGpD3Q10PHY1ENbb6rKIVdp5QrddK6Rze2WCjtyaQcw+7DSxnxflcY6GJtobOMzl31gYTJdbeRoI0frY9hDoIdAqOGhpY9sg4C02+rqUgdyLYFpM6TOav1lZvWgkm9CtoX5Nub3pVITcYeYO8TcAZqMrj4ElQZkGyrfNiRyty7iPV0iaYKBBVsC082km3yJTGnzhHI7td4SmCMLj3XQksrBaW3OROBGysE1uc0Wu2J55Ex8s7ZYHopcqCv9Kg4cNIBiu0D3+HKAJZK275+LbJ96a1rfRB1NPsDCHuZfIvY5qjyD5edCcTeffU6nGun0y8x6c3V9t5zfR/yhKu5B7gDxLSy2sNjVRKKub/Klvex6g06HQAhs2LEVzwbnfe4PNnwSvQ9seGyroQl6LmrLFTKJp1Up9C3Q0kXSV2ekKa1KoSMwQxMSrdJRVSMs03+/TvsDe6JnKuFpp6ChjTyFO2BoYkt1LaVjwaYu7wL2qVR+JDNPhNITsfBCLu5jtqnxXUMktf5d/Vxq1cUjBwcKf57pm2ur/4bpz6L3iqIsLy9TpH/ZwsICz/MYY1mWRZH/L5n+ILPepbODLN1KpzzId61JZ8SOKXctebShvd2y3mwYx652XNPbhrID2Udi/j6ffSDlflCKz2B5B7L7qnSIJE9TDtmSp3AD47SxzB/nP85mwwSG0hbLjUreE8pEQH5eTOc7sFfD3UqxXaDbmXQ3TwciOzYnOeaPCiaD0xwSscg8XfJVsSNVmkW6LZa7mtjQhT3MN1SxCfgDhd1H/I4udKDQBvxLht5Pp8g8hv1i7jCb2cumXxZyL3jmucI+B+WXqLyvcp4unfWzm6x4CwcW9h0YGEqg8M0i3aoUenjiT/9+pRKQGgESeO+dSgqGJpwU152aRyTmcVTV3mzprze1NxtaqAmvq9rPt+2ft51f7rhvN6w3m9bxpjmu66RQhCh1zwyLSTLSkD1d8nSpo8kdLPU0KbDBaEPrW0pLYMg0Ab+KWtak+NDXgWeAriKFAj+GythEgxr2arDpwF7d7JraG7d6ottjZA40q6Mbh0g5ZMvtQv5VtvhdPvdIrrxA4jNZ2DfVton6qtQ0BOLKBzXcteSGzjdMoWVLZyWFXVVuI7Gryj0DhmezKU8DoUNbHbv6UdXoWLChSU1dJprK0FYDDRyypT5bOjLAoIa7zsSB61py25KIQuqXbeO3T6zfPrH+dcf6bdv8bds82XRaCtfN5z1FCl0jNNR9kT1cz7TYTLilDIxKHxbeVpWBBe7L+R9l9muu+KOhPjDRXw35n0rlpVjyLXHPLR9qnG8qTRM+0fFdpHy6vfnVnz794s7WF9XapiB9Kghfi+I3PP8Iy08N+IMqfQWVO5LgSnwNw3u2/eda/YvNzT9tb/31k0++2t7+89bW5/X6HcOoKoolCI4kkRC9I0k1AD4xzb/dufPNZ5/95fbtbz/97NW393fuP3j8l79uqeomxo6iuADUELIkSed5S5KqEG6o6rZpflqt3rYM4v1vaNiSRVtg7yrSl1B5ZGgvHfOViV9o4ktdeoKlfwrsX3l2EwkWX9k27S+2P/3686/+effeX1X0PVJGn9/9+fbGT1vWm9r/R9h7NkmSnGeC1T09CuCAXMAILonpygwtPcI9Itw9RMrSorUorUVqrUWpVjMDYEBCkSCJwQCHI/e4Z2tndh/u/90Hz85pDgmu2WNlWVndkRnh7u/z6jf4u7nET+6vnAT4oaKupPDGyuIDP9xxvU46ukzRyxQdZ8KLiN6ko6uQXgbki7nMl8tzXy5mf766eGVafUX9PIo+z6Q+n8+8ziRvEsGLZHiR8VkbzRG1L333VSa8CulVSLtp3El53TTupnE76bYSTi9DxovRj+ej1wvhy4XgddbvqvxIk15H3ossHfv2VeRchugm6TE14kXSuwxg31KuIuc6Sy4y+GqO3szRcdobZ/GrDL1YoPWUXUZSQ4k3hLtl6e65Eat6oIKtBoUd6oypx0ZzXSWDm6T3n+I64V4EcOzboxBeJByWl3CdJS9Y1/rQGXvWGBpdlW9xd/sy3wHKBYXsbL7K+BcUTnqtJ/E4TccJl03LfJH1X875X6ykfrKW+ulq8suV5M/W01+sJH6ylvrbtfSrEI14rmOr32L6VwnyWZIOPcC8mC/nAhbcfL0QjdP4JvKGljaydWZZsby8z3zvJkNHWdKP0AuChqp0aRsXARpFDkuRnqS+v02Kep0Or1kung+bvl3zrRIxCp5WN+UmF68K8bYkVGW+PxtvaFINm8ymZ2Tf8My2Z0zCxI7RlriexF8jMI6cftIZJt3p6Ln/lE0uMuQy6TGmH6dxH+pjjhuJwtBQLpNeL4RMV3gZ4bFjMl8961ly6aNXKcqu8K1m7VNMdKO3OWc3STxARg8obExAL3Q6kdP0UdUDOaSduloeamVHaxBjkECXae86jV8vhF+uZi9T3zi2b7L+ixS5QOa3mL4j3h2q4iWvMKb/TzPyvmH6O3fufPLJJxBCNrgWQut/k3vPxd5l+hG2Jk92zh+mvWHafbUYfrma+duVzE8WEl/MJ17OJ3qRW/C0Iyju2zwbflN0tSK1GhReRLhnGz2gvE7Sm6R3kfomE2rScD7pjRPuOOGyrjvDpMuK33pI7xjSGBrDtMdmILKiNdYxapBwRqY6VCU2kZAxPXMz/MfINwMbWnCd8C4C1KfWAIO+Y3QMaehYPQqrFFSIyZi+7hoNCiuhPXCtrmOWZa41O9tSxJIlt4Da5/hGPFaRhLKllVyz4GllrNV8s0ct1pmO3eBkPm/aH2boTURuoD1Q5J5tDAKnR+FF4H6rNGAaVr9Ok4sAXQXOdcIbRU4/QuxUT5l+mkzEmP7NPH4zj3+8GL5MuZN05Yz/Jk0/n4s+n4vezIXTTsCTFKR/H7D/xuuVia6SdOzDcYQuUm4XG01dHJnqTUTGWdIMzCEBY2K3PdD2vY7jNgRtRPA4jYeR9Trjvo6cVxl/lPTbaWeU8q6StO3ZTWI1HW1gCP1P/6otcefabCHQSoFRdLVmEl4uuG+yFhsAeJ0mrzI+qxhkfS2YvGCtQFuBVQ9AKwE7GXeQQIMEGiadUcodpdxh0hkkUD+C15FzGaKLlDtOe6OUezNHr9O45+ojTX6dpK8WItZjgIXZhkn3OuuxjLBXi/6rBTzFl0uprq2MBe4VgZ/NR58lad8x+rHZkWENknRM0MA1RxRdZRP5rF/LJvpza+XM8hr2FkPyzEEl1fxxMvl6MfEy471MOG9SfivyN7G3u7q8vb6yvbb4cHE+46BFaD+A8JkFjqhbSvvFFD5JRE+pt+TBJULuh4kn6fnNlfWdx09279/fuXdve319a2X1cXZuNQiXCF3xgweZzL1UKmFZc477ZG4+v7mV29g8WL9/sH6/vLVT3N4pbu9srKzs3r9/L5OZI2QeY+bt31xdPXj06PDxY/ZzY3318fz8g0xmNQqzrrPsOs98uo3xAYW5yMtHsJQAtYx7lnA2sfnUszOukUbW48XlrftPtx8821tZ2/VwGeN+wv9xOvHjlP/TxeCLOX+0nt1YCOcJfL7xYGf7+VIifOBY5YQ3Snmv5hJXqdR1Jnq9mLrOBJcJ8mou8XohepXxP5uPrh2zY4hvsv6r+eDlQnA1R4dJ5zLtvVhMXiQnJeNfLmd+upS9jvzXmeQ00sfqxMY+vAydVxl/GMBOaHdSziiDK1Ksa8oXCbcVWB0XdD2r44Jx6F2nfJbCdpWkL1z780z42Xw0UaNTk2YyrwJymaKthNNAeleR+oLQkIWSJRd8vRgY5dBshBY7pJNu3Bl6PQ0nv/UgXqZwL3S6AWr7sBs63YTbiZxO5LQSzkXCfZmmVxSNHfPSMUdA6Shc35SvQ5e1wBpHzhfziReh9yYTvJkLR2l6zYqYkvh1NniRItcJ9/OF6M08fp1x36Tdz+bwTQq+zDivM+4AiiOea1vKt5j+ZYRf+E7bUkaRw3roXoYO6zDPmH5k60NLe5XxL5Lei7ngOuG9Cr2brN9KoTrWrwkcqtIAqCNqX6XJi6zPqqYn/v8UHifc6xCPKOpgq4FB07frgV0iRt5Vm4rYvjvLplrUNHEQ4xqaVHH1ToAY07eo3cSg4ektYrYpGBKrrQpdLjbQ5S6eNGO9CBBjjXepZNIlJeszpv88E7KM5iHUxxx3IQo9VRz7sE1BP0JXkfsi9G4ouslQFsfsO0bblF+l6DBEwwweJJxBwmGUNEp5U7CkhElWb8K99FHXUgdA/SxJLwLUYomHHshD7cxWThy1gPSKq3dC+yKDX8z7rMTpy9XMdSZ4ORe8lb30KnJHtj5QhG8x/UARGNP/qSq7CdPfnrl1+/bt733vexBCjLHrup7neJ7DbHpBFTWRmxO4HAIvBLGvin0u3uZjHSE+VqShJHRFbmQolw74POVfvR0++Fk2/NlK9scLyRcJ/CKBr7NklEBtCqqecW4ph0A+hlqBOqeeXsZG2wMdFzQxaFG776MRRS2K2gT1qMO8NJ0AtQJYD0DFVeue2SJWl9gdbHUw7FGnF3hd3+0SNAi8QURagVMndgPbHQw72BpYxogT+ndjQ1W59r3rlD8K3EFEBhHph5j9317g9UM8iEg7RJ0AtX3YJqhL7D6BI2qPqNUN7L5vD0P3KhlcpoJh6HZ8q0nNJjXLWCt4csUSGlKsJcy2TLFNzaYuN/h4i+dqilB2tFJoFanZwKBF7Ta1exT2fTQK3HECXyTJOE1vsv4FhQOgDixj6HujpD/wSRdB1mWvG3qDhDeKvFHkjUNvFKJ+hHqh0wncFkVNAlsYdrDVwWYncLsB6kfuNNX/QbT/pgAAIABJREFURQq/SLuXSTRtwjNhbjakLpW4SkaXifA68q8j/0UUvEyEr1LBTYawOr3LpDsd6XuRcC5TeJwlvaQzCJyx53QNvaYrNdduUTQMcZegOrGL1CpSq4HtuqGWxfiYoJskHYZuP3IHCa8XOsPQHXlOnzht32n6qElg2za7itKLCxdxoajyR46Ux3oTA9b2cpDwrhOE4fItJm6DyGGHuRfCJjWrnlbEap6oNWw2MGBZFF3P6mG7R2EvdHoUDgKHaVdXKfxmLnyVon2o11V+7FmseIZ1n75K+1dpf5giwxS5yPg32fAmHbBMwNfp8HXar0ixhibcBO6LBL2JyBiCRjzWUbi+b7c0YQCUGlGagdkm6Mi1tjzv+eLi+vrqSir91LTLtj1O03YSjbHbR/aQwLbvnHlwPwr21tY27t3fX7v3IJPOYJS19Ae2ue9Z56GbS3lF3z0lcNOz7nv2KnVXUsnV+cXVhZW15bmV+cz6fHY1mV5PpFfCcIHgJwvZzXtrcxQTQ5undGNt7ejZM4bdxw+Pnz8/ePLk4MmzrXsPdh482lhbe768vJxOpFyUcZz1dPrRytL9lcX7K4tP1lbWFlbW0vPLQbDiuY88tO27B4F7RNEOBnsEHAd2PuGeRmgHm08d45ELEsheTSWer69tPXm2+eDhs3TqyIesn/lV5LxModdZdJXB9YR/GqaO0itnDx4/X7+XjsJ5ZOcCcp0JrrPeaNljPaNukvRFMnyRDK8jn2VrT7fBv2sPlQlvJuXak8KW6TDGaXHKVdofJmjXdzvUaxO3G6Cab9VCu4OtnqF2dKXmGrmEVfVAA9stDLsEDTw0ctHYtscAXCb8y4TPDguzzi+S/igio8irJdB5YBZdraWIvTjXEvmSIeaxXqZmlYI6AW1qD33nInAvAnccet8ggRlGkdf3UZvaDQzqBNR8qx7YE+vCszo+rAd2LbRbCaeDrT7Qr23rKpu6yYYvM96LJLyOrKvIvYiCcZh6s5AZRKQfuePQ+yIbvfLdL7PR5yl6nXBfzvkvsvQq5X02H34xF95g+6Vr9WOzL7H92Vxwk3A7mtBTxaFnN1yrh922YdZce+iTHnWaPhpR1Audduhe+HhgmkMAxtTrhl4vwoOIdCLYTaA6AQ3PHAVuzzY6Mn9pam8y0et0yKrp2J2OAncUuG0PdInNstKqgdUKYAcZDVkY/ujTFjfbMMQWkDsS1+W4lipVoFpyzTqxWePRUUTGCTqKSN93LzAaOlYfmj1kDj17RNGIoiGBXYJ61BkE3oBxhO92qNOhDpO6LWp3WTjSQxeCdMNJ9dm7bU3uErsToBa12x7oe9YA2yztuqFJFW62Z6hDz254ZhkbTWKxMNO3wN5vBbAbOh0ftpDRhcbQsfq+3Q6sIlbPPDVPjXNXPbelIlTqDuj7aJRAl2nn5QL+bCV4s5Z4s57+bD4aJ9xRBl/O+6zn24WhjgV+KElXstQR4sNYrC9wA5G/kpRjU1R5UZFkWZVEWYDQQtBCCDmeCyH84Q9/yNqLz3zyySeWZbEGeaxzzreY/hyaU6Zvxu92udhIFtn44QtDvYLm68B7kwlepeiL0PssSX86l/g85b+O8BfZ6M1i9HohvMzSbuiUXPMUqcdQO0LagSPlsd6gVovabGe3fdijsOnbLWozRu9R2A1QO7SbkT3JqUnRiwgPfadPYI9CRpw9bLNMk37C60XuMImvknSQxGOCRpra5biOJo995zJFBwmvTe02tVvEYnTSxKBFrBaxxmk8ShF28C4Tk9y911mftZF/mY3ezCVezSVeZEKWstcOUTWwSsSoQLWhcA1+tirHa7bcMpS6yDUFrqoKRVcrRlaeGhVitqjd8WHHh0yDGQTOWwqcROB6yOwT2PXdHnV6DtNbzbpnsoYSNWxWqVGlRp0YrBylgq2yB6qeUXONmqdNXVusiPEyOamqZx7pq8w3PpKLJLlIEpadPk1QZ0LzOuVfZPA47TFcZPBllrB3+hHqJVA3gn0CB5bRVpS6odY9q+ZbTN2uYbNMzapndFzQNdSWKo0wvAy9vo+6AeqGTjdAzHBpBbAewUpos7LRpiK2uPgozhd14dCVc0Sf3nXdM9kqM7AHyNCmNiuxbVG7TkCJGAViFHyz4oMqffsoiN0iVotOdtRkHkEST+YtpcmI2n2oX1DIpnyOIm8qeSfaFVPI3r5zkSQ3gVtX+Q5QriL3Muldh+7INns839bFHoUNXe3ZRoXo9Qg2Q3zkoYdhsLGysnnv0ZP5pQcO2rO1BrWartoiVhVpVUev+OAIWxuBu708v/v00dH9h08XFxZDsuTaDx1rx7UOiHVIwRkGJxQeUPiMWA8JWg/ochBkMV2IyLzvLfl0wcNLhC4QkiXeg4W5J0tL85QmEVpLpQ4fPz7b2GDe+83Vld3797fX17fX7j9fWt1eu7+5urqxsrIQ+ikXzTnOahAsJ8KF0F8I6JJP16PofhQ8CMgT4m4StO/DIx+eUOuAwkNqn/p2LnKOA7TtmY9d45ELlhx3jdA1318NwnuJ9BM/yIXBeCF9OZ+9mEsN0qSdJbWl8Gw5vbG88Ghl6eHa8sp8Ju26a5ZRDPCLuehlCl8GcJz2RinvMoVvsiEbNnGdCW6y/lXav0zR6aIMQ5dhUnmbcMcJd8qg4wRlGuFF0hsmcS90OtRpYdjCsBOgToBaxGrZWttUO8ioE1AIQYNadQJa1O5R2HXMpi53NHkMjC6xmQHQJ3BAEUvW6fiwR2E1sAq+WUFaV5H6HF+X+LwpnmOtQAxG9g1qsb3a91HbA20PtIjVfisQpvu5SawaNivErPiAoUzNvgOGBE4thKFjDXT1SteHjnUTkReZ8DJFh0mXtcS/WvAHgXOR8Ufp4OXy/HghW0zQZS2WBfx9aM7J/JIu30dgFWgPbPMRMLI/+ptNQ20vZa+W5z7PpF5aZjN+t2XLtdBsO1bL0Moe6EW4EzkF36y7Rj2wc45Sd42mLrdNte2BqmcwEVTHeoOaNddoYjD0nb4Duro0MtVx6I0CdxA43QB1AzS9WWb8NKhVIkaRmnUC6pZaFeKN2Kc1hatDpQGkphBr87GmLpdspehqNWx2AjRIeJcpOt0Vr7MRq5W4flu2xzwxjNFZcWw/cjs+ZMTcIhZb+m6ALkNvaBk9nh/EuAHQxwSN03SYoYMknrToSdF+wrtIkiGBfWheYHQV4UHC6ybcfvQNmFhjJiirEWhQq+nbdQJqjt5AescFrQBWKTjz1GNXPvGUU1dh415bGI4i7yLlXibRTcp5kXZfZOnrheizbHiRcC9TmHkgLrA91OXhn2Z6Q1IUSRYkXpB4z3MIdj3PczwXIfTJJ59MmP573/sey71nTI+x+18wfTt2t8fHL2RpLPADnhsr0lCVxqba1aWeKg406QJol5Y+0KSOzI9M9cqHbF5y30c1bBZc4xTpB0Dec/hTLJd8UA2skg9KPqhSUPfMCjFr2GwSi1VPTm41S18vRK/mw9fZ4FVm0h+XDaq/SvsXEb5JUlbuMkyR60zwMhuN54KrCI+B0ZXEpi73fcSstMmqvN1z7HU3QCwmPTUX3rrNv8nYvEnSm+SklHaccNsJXA+dKrEbSG+pEostVTSha8otMd6Q4mWDL2K1lAB5qpWI1vZh+98fbAbGST1s97DdwdZExcF2j35z+EvEyBM1R9RzqpaIViIaOx5lBqyVsTbVKDs+nFjPkTOKnHEas9HyvRB2A5vl7HR8a5JsT60usadfpkXtpg8YWoH1LTR90PGtHtI7stgS+aalNn27HFi10C55ehkbFWJWHb3ngqFt9kyt74CuZzGHDTsAbX/C8aXQKoVWlYI61Bqy0IjHurF4QeMPXfkcazVssoYSBUdtYLtJ4LtoUNigsO07ncBlvoEKtkoYFAgo+FY5gFUf1ihs+qhFUdNHbyseQcXV6wS0Q7sd2szLNwjgBZ1kJg4ClrHssL0xoIhpkxMFJXTaIepEzsDRW4bU98xR5AwSzojaQ0MZCnzXMrueU9O1tm0WHLVIrSJxNi0zRdGThYWTh8/37z+6l/QfED0X2kxElh2tjI1awi0kyW7obs4lj588PHjw8OniwnLgLzhw3TafQnMHGfsYHGLt1LdPI3QUor3A3QjcBxgtQrDkmovQWELWgm0tImfe9bKUrM1lFoOIpdAvheHGysregwfb6+vPl5cfZrNPFhYezc09yi7cS2Yez88/zGYfZjPzAZ3H3pLnLLvOggPnEVhAYME2H3vwKYEbPtym1j61jnzrPLDOA+sscM8oOvedswAeEOsZMh4g455rzdloAaI5aM05zjL179PgOSaHFOddWg2S1WSymEkVFuePl5d2Vla21tZS6SBDvFUbbiO7SGEntEfUGrmgHYB2YHVCuxe5TIPvR2iQcHoR7oZeN/Q6gfsuBsEkVXZ6oplAZ2e8FzrMVvvG9vLtQeB0Lb0q8w2gMHuDUU7VM1hBVwsZFYVva/K1h1rUbr9zcltvz2bdNcrYKBGjYWt9ecL0OSCeY6NAQJFaFWrXKKz7qBVM/FgMLYravsPQoogVlE9T0MvUrPigGljM9mVmz4CivgN6ptYztSGxusRu+14n6ffSfi/ptAK54c5eBuQinTizjdVP/zr4y78U/+zPfvDxRx99fOc7M7c+ufM+a7n8nTt3vnv7ve9/8NFffvCx+N53sp8K9/56Ni9pF6bd4OMtR60mjCGxBsgoOHLBkauBWUiCkqefOPIRFMuOVjGkuqU2MKgQk9WGNanJjnnbn1hfPWT2LZXpNC1qN/1JbxyGim/UQlDxjTxR80StuGrFFMr8p0Xp06otNrHRtOQGP9sS4y1bKXlqhZhN3+6GDhsTyiQ/KyKYKn/s50QLTJFxmo5SZMr07bfqfidAoxQZRd7LpN8zta4kDiXpgjqXCXKZDcYZf5jE4wS+yPiXc+E4FVxmopts4iYd3aQnGcFTvMwmX82lXs+nX2aTN4ngKqS9wGtR1KCwRmGV2KyFWgPb5cDKEf3EU4485ciRTl2FKYItDMcJfJ0mL5Ley4T3WZL8JBv9YmXu7xbSn6f8N5ngZZpeBc6lZ40MZaxI/1umF2WBMT3G2MWe53l37tyZMP33v/99AACEkDH9uxl5U6ZncfoBz3Xisz0+fiVLF6JwwfNXsjQU+L7AtbjZjhAfiPyFIo5loS9wXS7W4+NdmR8aysjWO7besLUqNIpQOwPykSMcu+I51nJELxCjQIySp5cdreTpLP9iFHk36eBlNnqZjV5k/c/mozdziVeZcDqyfWppDSga+g5L42xRuxugAUVdYveh2ZXEJhevq2LLNbsBmtqF7Li+y7t9zxxgwC41CJwetdoUtIgxTWHt+/YggIMA9qjVJaDp2zVsVpDWtNSuIrX5WEuINWWupwhNfrYhxSumUMZaOQIFqpWIVidGnRhNajaIwVDHeh3rZWwwG6LtQ/bXJjZaxGTHoxXARghroV3yQcE3c0QtU/0tmO5vMDSoycBCWW0ftn2nQ52u/84ux2D66W2st7HOui4zPwHzHDD/yrfQCGGDmlVPa7l615Rb3GyL59pQb1CLWR55Vy0Qo0SMoqs1Mehgq2dqbVNt2FrDM5nyXieggUE1sCo+KBGjjI26a7SA2hL5Rmy2HYsVNP7EkfOuWsNmI4GqESxjYyoamr7NwH6dag91AlglLjPrJ/YQkz6+3aBWhZhMEWGY3CbW2XPoU6vl6nVXa2DArlwnoEmsFrGYT6VJ3vksz+wYUttSegS0A6sdWF1sdhVhxHM9U2sDo6aqLcvIW1Iem+cEPjfVhKPeC/3thdX9+48er8w/XohOF5PliOYwLGCUc+08QWc+fobsBw7aTKefzs+vJaI5z51H9qptPYRgC5n7GBwG5kloFRKonHAKCfc0cvcCdzNAT4n1FIPHnnUfWWsOXMZ4ntKlVGI1nVlJpZeTqcUoZFiOopVEYiWRWE+nV5PJtVRmKQzXUqmVZLSSjJaiYIV49zznAUb3XOuhaz8lzjPs7GCwS6w9bO0RcECsE2qdhyifcAsRLoZeIXBPCdxxzcfQWENg1UNZ6mcpThM7Q+FCIlhJJe+lkg8S4dbC/MG9ewf37m0sLT/MZtcSiXlK5whZ8f0lAJ9Y8NzHVR+WPLWMtVqAqp7GUMN6DevssDSx8a6bdEotbR8yr2mTWG/38/REfMMuNaxPL1shet8zOzJf4T6tQ6WasEqBUcZaGRvMfGyHqEWsqim3TfXShY0QtkPUDlErgCyuXKVs46kFqpWx1gLygOcG8VhT5opAyDlKwdPYtmSczdqktALI0PbhJFxI7RaxmN++QiZl5UWsV4hZpaAYgNLbLc0OadUzatisJe2KbxRdrewYNRe0qN0JrU5oHvruCpA/mpn54MO3Tftn7szcev+9mZk//+6fffj+Bx9/+NF3Pvr49sytD26/997MzMztO+9/9+Pb78384M5M6kd/ta9IXR/3MCrLsR5QylirYrUWmvmEWcM6o6s6ATWg1IDSwKDig3pgM6Wq6duTh/M2zNqE+mS96ESq1PzJWpQCoxqYjOmLWC07Ss0QqvzdijzbBGIP6V1dasbvtsV4E6k136z5Frt+eyq9sdXBFovWdwnoTeyWyYu2B9g/6GCr7YGWa7Zcs+kYLLTX99GQwAuM2qrUFLieLA2wPfSdfuQy67yH7V7o9CKXeV6Z3sBmkzL/wWToWjZ6PZ/8fCH12XzydTp8mfRHkdcNEDPra77FNKEKMQshOPGUM089x9opkouuxrzXwxBfJshV4I2Q0dekthhv87G+LF2ockeI9xShI/Ms5bDLxQbx2J9iek2QmPdeUkSEbGgDNuHG87xbt9iEz1u3/vqv/xpCiBByXdd1EaV4mpH3H5m+Nftpl4tdydKVKF6J4o2qjCVxLIl9WRgo4lgVRxI/FLmxLFzI0lgSRzw3FMS+LPVUua3JdU0p63JZl3OOdIKEIyieOGoem2VisV3OZHTbh8PQZX0cryJ8EbjD0B0Ek34137KJG57ZwVbHh1MO6GCrA7S+Ivc5visKPVNjPre+983af2srMEafKuwNDOqeWfW0mmvUPbNOAGOOiXMGg5ar12y5ZghNle9I8Q53t8Xd7YrxTjxem71bl/iqKdewWQttxmoM04X/BtQuUpP5NuoBaFCTyaOCozJ+qlLAZESVgiqd+PSYZc8on3FblRoVMuGzCramqDug4VpNz26yDDgGajaI3qRmg5r1ANQDwE5gnQDWsZ+h4ppTNDCoIK1ha21VasdibTHehmrV0xiV5jyt4JvFAOSxXgntWgJ1DbWuSzWgMHfZ9JE2PLPm6DVbrVtqC6gdTe4IfPvubFvgS4Z4AicjkaoRrCVQnYAa1utvZTcDE/1VV2WouGrFVctYqxC9So0y1StEL2NtKusrRC+6SsnTWdCUDSaoekbF1cuO1sCAvWCClbmUGtRir5l4bTIlCek1oDQ0oW0pbc+oeVoN601Ha0jxbmy2o4ltVaopUhPqFSjXQlBIoCNsPaTGigcWMV7PZh4tLW6sLO6uLj9Lp07mUyfzmR2fPHHRU4xXEZq34YofLBA85zhZ5Cy67orr3EcWM+tPk/AktIqRVUt51aSbo/YJhScJdz9ChyHa9+E2cZ566AHx1nyySMl84K+mU/fn59bmMsvp5HI6uZJJrWRSi8loJZNaTifZ+/fmsqvp5Fo2sZ4I1rDz2EU7gbcXebshOorc49A99p1DAvc9a9+zDrB9RNFJ4J5FuJKklSQtRfiEwi0X3IfmKrJXsZdEbsKBSQ8kPSNDnYUwWE4mlhLRcjKxkkrOBWGa0KwfLITRHCEZ7D6i4RJ01pFz4ONq5DV9u+SD82CyUd8qoDpLv2BE/i5YxkyTmmz/M5SJWqFahSoVqlSJPTk4ZOL9YspEGRttS2tx8brINTCoJGDBN6e1XhUfNELY9O2aozeA0jDkKWFPweR4IQSFEJQ8vaFJvTjXn413ZLFpqTko5pFUcOQiVt89rdMN/M1deHrd1ZiEYd+z5OklT696Rp2AXAjygTlx4GGjTE2m9Bd8s0z1iiOXbbGO9XKIt5G9KPCxOx//4L0777OpSB99+N7M7U+//zdIBH42c1IuHZWKB4X8QamQWFm6q8jf//RHH7334czM7Znbt96/M/OXH34gvf/Byl/96Fi1yqbSBHrB0+pYb/ogT9QGUjuRUw2sFrVrhlQzpJo7EWt1z2R6D/v+RVerE9AKYNXRmQbDaI9hImfeqi9Mrak6egModYlv87G2GO+r4kDk23c/bXLxhq01Qsj0mzoBdQLqnllzjZprNDyz4ZksAsuidVP/x7tgbzI538SgR2HbMQeu1YdmR5PrXKwriR1b77hgQg2O2XHBJN5HQMPTG2+NtLZnDDAYemDiGfVt1txwHDmjcNKkpEtAi5hNatZ8s0qNEtGKWM0R8xSpeahVkFY2pRpQuo7ZQUYbGH1oDi1jaCgjTR4r0oWs3OjGlSwN4jHW0mco8NeKfC1J19KftOn/FNObpjkZdXX79u3Z2VnXdd9Orf13TK9L/Lu590OBZ3H6C1m6lMSxwF+IwlDgx4rUVaSeKo4M+UIThnJ8JPEjUejFuUtRHvPigBe6otAW+LrI1USuKvNlWzoFwj4Qjmw154EKhlViV6hdpmaFmKzBXJPANkFtgroEVb1JL5oqsavErlE4URIprBO76aNm6FZCVAlRI3CaPuoaek9WBoI81PS+C1n+Xduz3/rKYJPAd71n9QAwlXN6/Yl166O6j9ipZqTboLBO7A7SWkBuaUJL4VtivMF92uTvdqR4a3a2Grtb08QyVKsU1EKbETzztBepWaRmwTdLPigHVjmwygEsBvaZDwohqEewEcIqNfJEzQdmwTfzFBQIKGHAbrxO7DKxiljPu2rBUQueNolPE5DHes7Tcp6W84w8NvPYzBHzHBsl2yhDs+wY7AFOBR/zELLvw+LrNRcwtaDhWnUHTFFDZg2ZLQQayGwCvamIHYHvyVLLVkpI7mDYJLCEAXObl4lVSTiVpNvW1Koi1Q217dktDJueXXdAFRpNQ2voakNTmorckuW2JHV4sRXnG5pSsNUTqJya0rml5IiZp6DoGExKMhZ/q81oZayxACFznLJnyyL0Fd94qwAZ1cBkHsIS0YqeWQtQ3UdlD1SJzb5qHltV3yn5dsm32fevYKuGrQaFVR9WfVihdpXYDWy3XKtlGXVNqWliw5Abtla05BJS61CriVwjNtvS+K4k1hSpDrWaLddCcJIEp779HOtLjhEiM+njeUrXwujh/PxyNvtkdWHj/srDhbmVZLSezaxm0/PJ5GI2w5h+HjoLyF1wnGUbPIbGrmPl0ziXgMWkU0vjUoSOPOPA1Q+pfRii48g58uERRbsEPifukwAvO/Z6MryfTj3IpNfSyZVUYjmdWExGc6G/kE6sZtMrmdT6fHYllVzPpFaSwVo6uh+Se661geFJ5J2l8EnCPQ7QMbFPAveIogNsH1B46KND32WoJGk55RcT5Nh3NlxwD4Jl11mm/roXrnh4iTrLGC0iuOLgNeIvY7wMrDXoLtpozoJZ5Mw5TsZBWdfJus6cTxfC4B71DolT9Z0ahSUMGtiuE3vKBCzgXaOwSo2ab74LtjGK32xmfbJnqFahGlvckm8zFXmqJVdcvWZIdS7WVMQmsYoByBG9Glgl3y74VsG3ioFdC1Cd2FVLK8lC0TPLxKpQu0LtMrHKxCp7oOSaBd8sEKOE1IrCN+MxlhXUhnrelXOOlHflgqcwB3WeqEVfL3kqUzWmW5rt6rqPagGqBYhdf3rkS75dJlaNwgaFNWzViV2jsOiZNRfUPbPjg04anQYgI8b/+5/92a2ZOzMzd25/8PHMe7c//Is/tzzv6d7uaav+x//v//39//3//NO//Nuvf/9//uZf/+03//pvv/2f/+s3//pvoy9+urOx6UD06d3YzJ3bbO7ezMe37nzvg3U+fmgaJxQWHaOE1DxRm45R8vSKa7Zcq6bKVVNtUFgOYIXaFWyVfLtAJjKtQIySD8oBPHd1Jk4r9O0qULtMrAq2Sm9zEdiqVSlgSlWX4zrxeI/nB7zQjsUafLxhag1s17BVwxaLg0wc48Ru+miaBDfFJC8ncBhYmI+Bifpu6DVcq0edvgv70GqIYleS28BoIdDAdoNCluncJLCGrVZgNd5GSJlTtkXMLgHfMj+mdgVTCOrEqFKDyaI8UXNYOXO0MyAXDLmmKw1ZaEtCV5G6itBWpa4idUShx8cHIj/guT7HjyX5UpEHPDcW+BHPjeLxK1G8FIRLQfgvvPeSIE69956LPM/DlMTj8QnT37p1i+M4NuHG8zzHgf8p019zPGP6jhBncfqRKPS5OCu6G+rymKCxZ70K3R8nvBeOMdKkvix0BH6sKGNF6ctSW+BbIt+RxaYs1EWupHOnOrdrinu2doLMMwTOHOPU009djfX6P0H6qWOcuyZDDlt5Yud9mKP2GQanrnbmaGeOdo6Nc1cvuEbOM05c7Rjr59jIIa0sSRVeqHJCWZFL0Mxh69wDOWSUMCh6Zt7R845e9MwSBuydM6KdEe0cG+ceyHkg54E8tkoY1DGqY1TBVsk1S65Zw1bNtauOVTfUqiLVJbEuiVWBL/KzFT7WkPh6LF7gYnlTziHtHBt5bJ45WsE1GPWeYePU04+xfoaNc2KeEzOPzTNsHBD9mBp5CsrEKhBwho1caJ8H1pkPzjA49cwT1zh1DPZMThz1BConUDpzlDNPP/X0E9c48/QTV2M49fQjTzt01QNHOQHKkaUc26wnsTJ5tq7GLnvqmWeumUNa0VKrplo31KIqFxQpL4t5WSwo0vTXuqI2TKOmaxVJaIliRxarupgzhLql15CZh1rRMcpQLwG17Bh5R6/JSlEQyopcMfWSrpZ0tWJoJU2pymJFEsoiXxI4hrLIl0W+YKifuLowAAAgAElEQVRHtroHlX1T2jelbaTsIfXIUo4d/cQ1zlzz3APfwDXz2MpjK4etMwwmcM0z1zwn37zDXrOnd+yo58Ri/yZP7HNiHbngBNvnBJ4TeIYnl80ho2gbZaiXoFmCZh4aOVsvWHrZMiqGVlGVkiwVJb6iSnlVONfFoqmUpHg5freqch1RKslSHmhFIJ0R7TmW9wh46FhLHkwRL0lpAsIMhGuJaDmdzCb8pWxyOZ1ciBIr6cxKOpNNBNlEMO97C5635OJlz1/w8CK0H0Kw56Lz0M1FTiHpFZLeSQgPiLmPwQG2d3zrKETHxD6j6JjAQ989TPiPkLXuohUXLrn2kucsU7oahavJ5HIysZiMVlLJpTBcTyaXqb8eBCvEW6fkEXWeevY+sc8CeBrZp5F9HNgHrn7kw0NqH1L7iKJDAqeUnw+9YoLkE/iAwqcOWLWtRdddJMFDL1qAKA1BGoKsAZZMew2iRWjMQ30F22uBsxY4yz6aw3aGOgsRiRBciBLLqexSGN6jzoZnHCOl6uh5YORs/RSpR0g5cKRjRz1xtRNHZZv21DO/WXcMppv51DFOHePMMXLIyEMjD41TV2M4d3UGJjeKlpqX+SIfrypSGepnjnbqajli5ojJjg+TJAXXKFpqQRMLaCIuCq6RQ1rOVs8t5dyU8qacN+WCJhb4eDkWqwp8TVdKtnbqmceOPsUR0qY7mW3mdwXaObHexWQ3eiDngYILcsgouKDoWadIz3mgQOwzxyhCrUhhLvKeOpr1Nz/47nszM7dmbn/4ne989N1bt94jNLi8vP7Nb/7pj//jf/7DH/94/cuf/+zX//yrf/7Db77+l1/+0+9/8qt//Mmv/vGXv/3DP/z+X/7+X//4669/d3n1Erv+X3z3z2/N3P7gzvvv3Z75aGbG/P5/W0P6CYVnjnbiKWVHO/PUM0OsALUkC2VTqVCbJW0UfCtHwTkx84GZDyay9Awbx4567k0W6BhPVm1yhLHBcIaNU2rmKCi4RhFqFT5W4WN1QagLQiUeL4t8VZNLhlx1zIprVrDFJGTOM5hJU3CNgmvkHf3c1dmb7LITQeeop+5EDk/gmGUCcx44d82KY9UssyyIVU6oa1rZMgruZF0KxC561pljFH1UCpxzD5w6RpHCIoVsCRhB5LHF/nTqGEzgMLY6cydb8cQ12OofWcqZLudlvirwHVHo8XyX4xhVs1ZIvXhswHMDnhtKwqWmdHWpLXEDRRyI/JCLX4jChShcyf9VnF4WJUHiJUWcMj3x6Q9/+MOJ935mZkYQBDa11vM8hGxK8XRq7X9k+q7IsSq7C1nqC1ybj3Vl/hqBNwupFyny2Rz9cj584ZkdabYtxnuSODbMK2hdWGZPlTuaPAB639SaspCT7x5qsW0g7tjqrqXt6vKOIW0BcQeK25Y0xRaQNwzxuS5saMIWkHdsdRcqO7a8a8sHtnIE5SOkHVrKoaUc2MqOLe8h9cgzjqF2Lgk5nsvx3KkqHkJ1F+u7WD9w9RPXOELaga0c2MohVKfncBNyO1DcQ+qBox0h48jWD4B8YEpHonCiCCcaf6Lxp7pwpgmnsnAk8Cdx7jzG5Wa5Qlw45/gTLpbjubIkFWZjJ1zsyJD2rcmX3DelI1s9RsohlHdtcccStm1hxxJ2bXEPSodA3LXFLUfaRtKBLR3b8jFSDhxlxxJ2bJlhC8oblvzMFJ+Ywo4l7VjSrsnv2/whEg8cZQ+pO7Z8hJQjpBw4yoGj7CN5F0nbtrAJuD0g7QFpG4jbQNwC4hYQty1pC8o7trptKdumvKsL+yp/LHLnXDwfny3wfC4eP4/FcvF4geeLgsDeKd7lKqJSlMTcbKwSj1fi8Rz36bF0N8dzZ4p4rAinqpgX+Hwsnhf4Ez5eFsRcPJ7juXORP4rPnnCxvMCfc/E8x+U5jn3EWTx2ysdPJP5UFg51cduSNqC0Y0nblvQcSRuOvAekDUPaNOUtoOzY2p6tM+xa2pahbhnqlqltWvqWbexYxq5l7AB9F+o7trZja9uWyrAFlC2gsHvfNPhtU95D+qatPDGFTaRuW8oOULZNeVsXd1VxX+WPZP5Y5k8F7ljkjiTuQIwfStyxIpwp4qks5AX+LB4riMK5yJ9I8ZwmFkQuH589F+M1XjwTpUNNOdPlfVe55wib2HwQBku+n6HhXJDIYjzvoWXfzTpgHjtLhCx4OIu8eejN2ShjWXMQJhDIIrRGgwep7L1EcsVz71vmBjAOHfPUR6eRexhYe9Q6COBR4BxRtOWDgwAeEzvvw3MCc4GXz0TbnvUMu0+x+xg79zxnxXXmEcoiJ+M485Qu+f48xqvEX3K8NY+su+5D7D310baPjgN0Ss0T3zxLwHwSHRPwDuxDDxy45jGxz0P31EfnoXsauXvYegyNZWDOQyeL6QJ0EsieS9JHK4vbq6t7Sytb86kHCedB0r0fwHVXuw/Vh9B4YOr3DfOBhVbC8F6UXQ8XVjOLywvJeao9ALMFRz7QpAND2bfkbVvYtIVNW9iwxA2D37TUKTaAsgGU56b83JS3gLJlyDu6vKvLe5p8oMqHinyoyNtabFuL7ejxXYPbN/h9g9/TuT2dy2niiTB7ys/mZf5M4Y914dCWDhzlxDX2kcrO3R6Q9nThWBFOZeFQFY516QQox6Z8qIuHqnAk80cSl4vP5vjYOTd7Hrt7Hrubk7icIR3b8h4ypptwCyibprxpypuWumtpu5a2Y2u7UN9Dxg4ytqG+ZWvsmDNso4mIY4d90+C3gPgcCE/0+KYt7Xn6LlS2LH6LmBlN+OF3P3xvZua92zMf3XnvzszMf/vBX1R77R//46+++l//88f/+Pc//+qrX/3u97/47e9+/vt//tlXv/nb3/3j3339T7/64+9++X989bOvfvOLP/z2xT//w5dff/3Vv/xfv/7NV+3OgOPFmZmZ92/NzHz3wzszM3/1yZ01jT/C5jaSDkxuxxX3hVhOFk+42JHEHQB5wxI3oLRjy3tQ2bXFHYvbtXmGfSQfONouVHah8u6t7SF1D6l7UGHYhcqOp+142j5SD4F8yN89FWPnMncmxNhBy0nCUezumSadatKpqRzb6qGl7BniniEeAPkIyge2xLCP5H1XYdh1tR1H3XHUfUc7cPVD5gNz9WOonXrmoWdsmsKJa5wbSkmWSnEuL/CnqrgHpG2k7DjqPlL3LXnHEDYt9dCzdmxtU5f2obEPDSaOdg1lz1T3gbYD1OnibkP9P4idCfZN6ViXzsV4JR7vSeJQEPscP5bES0m4lMQRz7EpOyNZHOvKC8dirXs+i8hL175Q5ZEsDkR+KP1Jm14XZea9l1UJIdu2TMdx/DD4wQ9+cPs24/mZ26IoYowhhJ7n2baNMf5WRt6U6Qc81xe4Hh8ficKlJA54rityF5Z+Q9HrbHSTxD9Zin6SxCOF6wl3B0AdYPsmwNcJMk7gHoVdz5oWUxZseVv5dNeWnwNpwxD3bG3LkPaRyvb3HpD2LXkPSNumvGlKz0xxw5I3kboBlU1T2jelI008lLhDiXsc+++b/KcHCr8nxXfl+L7KH0rcicQfzH56LHL7QmxH5faA9FznHmuxJyb3zOSfA2HTljZt6TkQnpn8U4N7ZvLPTPGZIT031eemvqFrG5q8pQhbCr/Pzx6LXE4Wz0X+lI+fS8KZIh6K8TORP+Hjh3zsUIwfSdyxyJ0JXI7n9uN392VuW+e3LWkfqQe2sgekPagc2MoeVHZtmWHbkhj3PLOEZ5bwHEywYfAMz0yefdUNS2R/empwTw1uw5E3kbxjyzuWtGuKW6awaQqbprCrCzuGsGuKU1LfNIUNg9/VhV1TnIgMU9gyhS1T2DT4zbef8sTknhrcMy2+ocQ25dihGD8U4wdC7ECIsRf7/Owed3dP4Q7F+CEf2+PubvN3d8XYMRc7+/TuPv83h/LdY5U7lGP7QuyQj52LfFGSTwXuTODOBC4v8HmBPxf5M5E/lYV9lT9UhSNNPNLEQ13c04Vtnd8w+E1T2gLyhHeBuA3EXVPcA9KGJb4LtmTsybC1mwDw33qS7z7MDYOf3vWWKWyDyQP5RvsB4o4h7BjCjsbvqNyOyu1Js4cSdyRxJxKfk8W8LOYkISdKeY4rxLkKLxQ5/pyLn4l8XhZzPJePizle2BB/dD776Zkm5BV13bMWMvReZm49m5nzSdYG6wA8MLT7pnIPqY8sc0mXl5C15OOkA5MOXKRkiZA5ilOem/LcBd9fImQJwXXbeuKiXawf+fDcd06YLx3bx8Q+wfYhtfcx2Mfg1Ef5BM6HXi5wc4G7G7o7gbNJ0BPXeuhYDxx7HcFV21qzwCow10z9vmU+duxNgrZ9tEPRAbEYjol96qNc4BYiXIjwoQcOPXBM7BOKpgH7I4r2A+0s4ZyH3o6H7rn2ggPnHGcF0+VkYjEIVqPo2cLy4b1Hpw+en6w/PVl/unfv/sGDh8cPHp0+fJx78qz4bLv0fKfwdOvgweOt5fuPkvPrfmqN+PcgeGpKB0DeNbhtIG5Y4jOT3zSlbVPeMqSnKvdM4zcMcbJbTHnblHeAsmup+4Z4qIuHuniiiieKcCbyOZ7Lc9y5yH8LOUnISUJJ5MuSkBfip/zsucydS8K5JORkkZ3rYy52JnDnIn8mcGfx2Gls9oD79EiYPRa5d3Ei8ad8nB38HM+difyBwu+a/LYt7EN9H+p7trZna7uWyrADlC2obkF1ynxT7EGJib5tU94C8haQJ6aObezo+kNd3NKEbS322JjdNKU1IO0AfV4Rf/Ddj2ZmZu7cuf3B++/N3JpZXLv/xa9//es//OGXX3/986+++vUf/sDwy6+//sXvfvfzr776+Vdf/eJ3v5vil19//euv//Cz3/zTT//+H371u69/+6//41df/Xb5/v2Z99//YGbm45mZD+/MfOfDmbQiHBj6iSVsuj/a1uMb8qcbQmxHE9lR3TG4PTO+aUoMz4H0HEhM/XoGZMaL29bkrjeg9MzinlncNhCZJNy35H1LPoTqIVT3LXlHmN2d/dFpbDY3GzubnWUy5CweOxa5IyF+IvGnqngs80cyf6gK+zJ3qAoHmrSvyzuGtKEJz3UmxuXnQHpmis9MkYn350DYsPgNi981xU1zIku3LWnfEPeF2H787gE3u8vd3ZRjGwbPlKoNnds1xWdQfI6kJyb33BY3kfwcCJumsAXELVPYsaRdW94G4lSk7NryEz3+TOO3dXHfVA5sbddSN6D0HAnHpnooxguKUNGEuin2XKNtKR2g1Bx94JrXCFzp6pWujmRxwHNfQOsXaws/WUyxOcXXvjMy1YHIX0rif8H0qqyIsiCrEoSW60AIoYu9Tz755NatWzO3ZmY+/vi7pmkSQhzHYc1zCCF/iumHAt/j410uxph+yGb6evabBHmdja5S+PP58FUARwo31uVrAseh9zKiN0k6ijxWjco6n7Rcs+hqO2psD0iburilCQe2tm3Ke57J6HAPSBPJawiMkzZ0btMUngNhyxQOTOlI5g/E+LEi7MvciSoey/yhGN/jZ/eF2LHInfDxo/jsicQfyfyRIR1DbdeWt4C4BWW2Hu9iDyr7SGVbjdn6+5Z8AORDIB8Z0rEinCjCkRA/is8ex2dP+PiJxJ8owokqnqjikSYeqsKBwh8yshf5U1k4MWTG64dQ3TclxrUbOrehc8+1+HMt/lznNgye7Rj2ueyjmXKza4o7hrCt84y5mdIzxTE2j5A28TdYCmtOcAgnwQ7mLDpwtD2oMLLfNUV2g+zB7qOJG+ME6ceOfuhOcAy1E6idWuoZUM+AemoqDCeGfKxLR5p4YEr/P2dvGiNHmp6JJa8he6Z7NC21ZqTRkFV5xH18d5yZWffB4lE86877vrOqeN/N7p57mt3kTDdvsjndMyPJ0sq7stdeAQvs2hCEtb2ADBvwQj/sleF//mMYXsvSyuMfX1RUsprdEgy8IJJZmRGREd/3Pu/5vAVVKMqJnBzPaIm8JhSleCU6XIx/pyQNlZV4UYnl5GhejOWEaC4xnE0McxuIC9+cWSm2IkdXlVhWiWeV+KoSW5SHz8hDJ5WhhS0M3gZdLb6mx1b1BBcenBi8FfxhhSZU8F0QqMiVlyW8q/zG8tdLSpSbPsEptMSaGl9T46tKLKPFcmoiK8Wy3JITY3khuhYbLm2ZL+V4NBsfykqxghTPC9GiKBQS0RXhYHX4UFFOlGT1GIUzSeu4559IJ+dT/rzNTlO8QtGqQzMj9nzSOmKRM8lkZnJmZXJ6cWZm8ejcqbmZU5MTs8nkqMVGCBmFcMzQZ01jHoElomYts+SgkoNyNsg6IO/AkgWLHs5a5jbSJ1nZRgVqrtlmxgFZF615aM0la7614tIFGx8ztWOmMm8qp5C6xEDG4dl3lLNBiPRFG1Y8UvdZM2VniZ4leo4aRRvmHciNjJwFM7Za9GDeRmeIOYfhOIHjGM8QNmbCCUKnPW8mlZxI+xMjycNT4yeOHj57+PDykSNrx48XTp6qLixWFxazJ04szM4eTaemHWcMszSmI4RMEzCP9UWsrGmJFVPga3hRjy/rgUpd0oQlLQD+ZTWxKMe4LMvRZTm6IkdXxeHVxFAmdig3dDA/dLAQHeKSHz4Uvi7GhkuxQ+X4UCF2MDf8e4XYwfzwofzwoRJ/ptFDudgQt/AqQpzjfTE2XIpHuXBTgB+nKMS4FMRYVoqtKjFufC8p8SUlvqwmltXEiias6iKXbRNTjy/p0UVteEEdWlCHFuVDS8rQihZfMwS+T3l87gw4uOwoWaCcMYXTILpsHloiwxljaF6Xf/cru/dGIvtfOxDZFdm/f3+xXn/8q1/defTowydPfvLgwQePH9979owD/PsPH4ZgP4j09549u/v4yb1nzz568eInDx5894MPH3762Se//4drhfJvvfU7uyKRXZHIgf173oxEVnSzjswciFahWAdy3VTLQMsDNYPkjJlY04f59hzcrRlTXIPSmrb1w7X4ohY7qwyfkQ+ekr+zpETDbb6ixXnObk1LFDWxKMSqsSiP+ZW5hxCPFhLRzPDBzPDBXGyokAj0SSY+tDr87bX4dzJidE2Nr6rxNS04dR4FipEbEKFezQM5YwaO1ioQC0Auq2JRCE6Rk+NZXeBKe02N5zWBK4QVJcafC/cNAjza8h9CxRVAlZZY1sUcVPMoiA8tgnhGFVcTQxU10TbEDaJf9tAFy7hIzXXLvOLjd5LW2xa6TeFVQ9mMDV0V49+fSL475gajwz18GarnxdiX9NNzpI8LsRDpEUKE0ddeey0SiUR2RSJf+9obpmlyjMcY87q8HbX3vCLvkiJcjsc2Y0Pno0OX47GrQuKyEL9mKLdd8l7auTXi3kizd0asa1i5IA3fJua7KfvtUe+dpPPOqHctZZ23wCUb8Vb4DcusWwZ/MCtSfE2K53R5yRBXqLYC5BVD4usmZ0pFLJepWqZqmco8w1219BpWS4pQlOJVXe5gs09gQxarQryciBWFWFOVG0KinIhVFbGqyzWsN2xYtUGJ6lUb8IR9kAZjZt2GPBOz4dN1H/V8s+vpXU/v8vo4F7cs2MBGWRVLYrwiC0UhVkhEa7pcQmoZa2WiF5GaN6W8JnBnommoLQoaDqo5sOGgIKNjAZ5+KzC9wPSiZZQdUPVQPUm6Lum6pG2jlgWbDNSJwXNIDWo2GWgy0LJg20YdB3NpUVA31ZIilFWxCfWujdseabq46aCmgxoOqtuwzIwsVvi6XAVijqhZoq4AcdlI5KBconqFGl0bdxzccgPpOJhXJDRd3HBQKHUb1qzgptWY2aBBaqqMtYomlcR4W4mvQ3XTQn0XdxxYt0CNmWESq8bMugUCsSE/Wt2GDRvWLVBlJo+krVGVZzFLVOe1GmFutUF1nh/l9VBdF/U83PfJepKG0vdJWMrEqx+4VAek7pg12xgUXrFYYRr/K68Yathm3TLqllG19CozK0QvA6UMlCrSCkBekeIFMZaPDxcS0ZwQXZKGV/VEFkhZQ1zR4mUtUQdyW5aW49FTsdiUoU0RNJNKHp0cP3VsbuXUfO7k8eqZU82lhdrS2aXjR8/OTK/OzpXmTxbnT+ZOnlyePzY/N31ifPxIKsU70CYtNsPIHIZHMToJpSWi5plZsEDOBhnbzFpmnpkcofMOLPmklmQVjxRtmCdGzjbyjln0YNHDJZ8UkyTvoYxtzpvCvCmcBOIiVjJ2YDqUrCAZz4/G3fpakrXSTp7pWaJmiZ61zPADGWpmLT1ngyUGjmNzioBxjCcxnkF0wgATCI1TkmTApaZnGWkbjDgw7bJR355MupMpeyJpjfpsxMcpD00zYwwbkxabTvoTaX865cy5eAbK3BteAfLKVhB7DUoFrAbpbQvwZVndWmZV26huPdYq1WpYbUClARVeb9EEGpeWGUjDlBumXNfEihyvSrFibLgYG65JAjdzq7rcAFoL6k1DralSXRarilhTpbomN3SloUtNQ26ZShuoDazVkVpFShkr3NTOETWD5AJUClApYa28VWPEN9TgMqsxvUq1CpErRK4wJViHHmwncTsJO0mzkzTPM6Vt6U1VbULQY6iFpWVPWEoLVvQ7ByKR3bt3R3bt/urX3+is9x999umdZ09/9sknHNq5N8/x/u7TpyHqh2B/9+nTnz5/fufRo/cfPuTvPPzslx88fPzB/UfPfvkH7StX33jzrT179uzdu/eNXXvA69/IiErL1LpYPsfM84z0CK4zVHNwzYE8EV6lWoWoNazWiMzbC1u23vNo1yUdBzdsWGNmZSuBHaTDbcil4aCWi5sOajPYMNWqEK8kYlUxUdWkmi7XdLmiimUpwb24UjzKU34FMVaR4zVdbGGNjxPjLcHrPtpI2VzWk1bPo20bNahZJ0aNmWWil5lRtIwS1Rs27BBQ1aQg2CMmKrJQVoSSnChK8ZKcKAvDhdjBojBcVGJ5LV5CcplpOSKXggIpJU+VoqWVbL3A1CyWgpwLkNeQmiU6d/bW1OiKklgSh4pGwOx7bdS6mmSXXNx1zMsj9PaEx1mWb9joghS/GBv67oT/zoT39rh7c8J9e8y5bsFLqnhB+EchPUKAEoQQohbbv39/gPQHDnzVMAyepAcAYIwxxhzpB5lzONJfScRDpL8cj10QYtdM9ZZL3knbV5Pk5oh1O0kvaMIFJf6Og98bdd8ec256hI/wO28ZF22TD6E555hVG/AMcV5MFIREQZWWNGEByUuGtGxKq6ZcwGrNNtoeWk/h9RQ+l8a9NOymcT9N1h1UN6SaLvcY2nTZBddqKlJdEhqKVNfkdYraulqThKoiNqHeZrDj045Pmw5qe4SvvLaN2jbquqTvs/WktZ60zvv2OR+fS4KNlLGRMtZTYD2FN1J2L2X1fdZmsEvhuoXrhlKWEl1kNhzU8kjTJzUH8lq/qi6XFaGLzA2H9lJWN2X10zY/+Mao20/bvZTVTbKOT9s+7SRZN2X1R5xzKWczaW+6rO/SnkM6Du66pO2Rvkv5O6Hwd7rIrGsyj2I1gNaxUNclHKo7Dm57pOGgKjMLWA3cXFPKYG0NqYt6fEGNZkyxhLUqNbo27tqY2xldl/Qcsm6TdZt0kqzt0/bWRfL/tjzScnHbI/xOdhzcwAZH+poY6yL9Qso6P+p0k6TlkbZPeylr8AidtMWlO2L3UlYvZfG70fFpyyMND9d83E4G0vG5QN5o13dxKOse2fDpZpKdS1kXRpzzaXszyTZ8uu4R/td1j/Avcml7IJTB97tJtC0e6Pmwn0T9JFpP4V4K8/c7KdJP290ka3ukm2S9tN10cR5pBSmeSwznhCj33lawnLONom3WfPOcj2+OpK76fh7jEwjMOdas44whf5x4h5MTp6bnlg4fz8+fLZ5cXjtyunz4RGZybnlqZnFm9szk1Nmx8dOpkROWO47JGCHjlI5ZdMq2Zhw2S8kMRkdM8TRU14iRZ2bONjjS56i5gtWcDSopVk1bHOY5TucdyKVggcA+oFoGK8dA4rgZP2EmFpCcYQZPAfAsAJcMC8L1FY/UU1YtSUoOyDBtjercpOB1eQULZCxwksIZDCYZnmB0EuMZRKYpnaR0FIMxbBy24FmXLdtsCZpL1Fqi1hLCZwzzlK6dNNUzxDxroeOWPgPlSWSMEZykeNyz50b8wzZZQdoqj35DiWfNi0RrbBWoc2uPG3wbKbaRYv1Rqz9q9UZYb4T1UnQ9Sfl66Pus51G+d/ou5Yt83SYdH/d9su6gPjHbhlwVE3VZ7EOz7QW7qeeQDYf2GOoS0CWgg2AXoz5D6xbedPB5j3JKn40k7idRO4kbKdxMs3aKtTzWsDCnzQl6OnzcTZJeivbTbNs8TSIuPR/2ttZkL4U30mQjTdZTcCMF1pNmx8d9i7Y990oydcmy60ivQWMRKm/s2fXavr2RXXveePOthZXVDz766O7Tpz969IjD/AePH//sk2cfPH744/v37z17xsH+lT79nSdPPvr0048+/fTHDx/+4OP7H7/49Mcf3f/po0/e/+RZodnYvXs3h4nfiuxeMWA+Fm8Tuc+MTQutW7jj4JZHOknW8SnXq12XdBzYcxCH23UfnUtZ51LWZpJxi7znbX0yybpJFmqDftpeH3H6abvv0g42q2KiJglNoDWJ2WawzWCXgB6FPWA0FImnAmuS0NCVDjZ7FG64mGuGzRQ5nyQXUvR8kgXi2+c8a8OhfQv3GGkz2GSgk2TtFGs4qJtkfZdWNakUj1aFOK9E5sITOi01UUkcqkrDZXm4KA21mLaRJt0k6qdJP024uuilcG+EdFKo5YMS1tagtGxKS1BeAfKaIeTkaF4YWlViK3I0bwoNpp73MGf7ueignmVcSpNr4/alNLk2at0esa+Z6uVE9IaLb6UY52O9NWpfd9AlVdyM/QP99INIz7vs9u/fH0Tvv/GN38QYU0oJIQghxhil9PMceSHSb0QP8X6Ai/HoBSF2DaqjDcAAACAASURBVOmcAu9SEr8z6rzj0Ytq4oImvO1RPizkuoffHnMuJfEGUS85gA9FWGdagekrWjwjx8pSoiYJJUlcVhNnTGHBkJZNKQPVMjOaHuwn0bqP+p656YGuZ7Rcs59EfRs2dKlhquc8q+uSTYdWxURViNdUqW6qGw5tQr0uCWUpESC9g3sebVmwa+OeQzoW4qunYyEOeB0LtRnuWKhjG11X63p62wNtj7Qc2nIxx7a+zzaTdhsZNVXqE9jxaTfJOknWcnHbRm0Gm0CryEIbBH52gL4W4mDMYXvrXHD7AlwSgC6/ki0/mxvC3Nfnwq2TTYd2CWgCrcG3gY1aLm44iPv9LRc3bFihRh4pPEi4oCWWTWnZlM6q8QU1mgVShRoNe/uAYbSAXwCPDTQdxKGd/5CWizsW4rex55AuhU1DrSpiSYwX5GgNKl0XdXzccmHDNrmWDGMMTRc3XdzyCBduVYR3o20Hp+v4mDdJdnzMdR+Xvk96Hu66iLe9dRzIdT1vgeP9SLwlKejAHOh4DllFByVohvZAgPFe0K4Zvh9oXhf1fcYvsu+zjVG3m7IqFJQVIS9Ec0I0q8RXTCFHtYqHmj5p+0afGecpbjG2ROmc70z77gghPiY+giOEjFl03Gaz6eSRsdFpz5tNJqeT/uSIP5Z2U0l7JGmPJZ0x15ogdJKycUpHKB4jeIqxWYseZvQw1E4gfZUaBQvkHTPrgIwFsgwtIyXvwGraqqatoocLFuBIv8bMjAWyDPA++CwDGWasEm2eyMeAcNxInEbyKjWyDOQpylM0iPRrNAjXVzzSGLPLSZy19FWirVE9ZwXR/jwDSwwdweYkhhOMThA6ifE0JuOUTDv2rGfPWvg4Q8s2K1p2mdI11ViVtKyklgyjxVjbteouKTIwbwpzmngMmbOUjFM66TgzrjNiGKeAtmAoy7oUxPBBPE+Vtkd41ytvteIyuCq6Lmp7iLdT9hy07iC+htseCdc535INF3R83HdxB+tNTawI8ZoqrVPU9in/PMek0ALueVbwjod73vYS3fQQp31sJXE7RTpJ1nVJxyK8H69tgx3rtuXClgtbrjlohrY98NIStQ3eTNh3tGbK7ji0niRNxyjiRHWUtD13+ncPvbaP11nt/c3f+tajZ88//PjjDx89vv/zX955+JhD+M8+eXbn0QPu3H/w6Eno0N99+pSjPpefvnhx9/nzH3z88d3nz394/8GHj58+/sWvPnz05GefPvvhvQ9kWdy9e/fur+zbvycivPaVluvUknrd0flea1mwbgGuV1sOazms5dCuy7ju4k8n+EUO7DiQa5Kmgxp2oHxe0j8uCfQkhWUpUVMlrnM6Pu26ZN0m51zWw6Cpyg1ZrMtiXZO7yGwz3LFIeNK2jTrWdhvelqBQegy1GewmWTdlNZxgj/MAPrf2morUVKS6LNYkoSYJfdtsAqmNlKoaK4qHelQ/nyScQGnTQ6H2WPfRegr3k6hCjRyUF/X4GT2xZCQyWqIkxypitCDFs0o8ZyTqVDnnwBsp++20c9nBmza4miTXRq3zPrycIu+OuW9j87oQv2jK11gwYvhGmt1yyXVTvZT4Qp8+RHpJEQeR/sCBA0FF3re//R2O7hBCQojjOLZth7X3n4/erw8fDJH+opy4wcDtEft6ml1J0/dG3XccclFOXDYVPnPseoreGrXfHnfPu2AdK7dS7PtTqWsp2iNKjmoc6atKoiEnylIioyWWTemsISwZ4iqUCkxvuKDjw54bMKzx3vGOAzvUqGpC3ZA2XdZyYc8CZSlWSgxV1EQDa10X1bDakBNlYbiNtBY1WpbZ83CbmV0bDsJqiLstCpo2aTqo40Cu6zs+bnuk7TIeMQ7VRwMqVSXRNOSOBTgC8ahyzwJtoFalWBMoHQu0XFi3DN452mZm2wacw5VLzwI9K+gQ5XyZPSdwXnsebnuo5SMOe1t6AbZcyN/ZTDLuwnLPZssDxlyntFxYd8wSVXNQXDHjS2ZscavAZ1EXlvR4FkglrNWYGfYZD56CN5SHqLmtTC3QJUbHAj0H9W3YgVpLFetKoqYKTWbwgzQ92PZQz8O88Zc30bZtMHhwzlMbKutBfR1qxkA/bkF1L0W7ScLtgMFL5dN0+KlDO6BtB2wBgyxDXDi0f17WfdT3YNcxQzuALwC+VDoEtLHZsdB60uomWcPCVU3iOfucmsiYYp5qDQe1PbLu6j3LaEOwhMEJSqZS3kzSG7OtY1BdYqjskqqN8lTjbnGGmicgWsB0FVtrAK9AepbQeWYdta1py56y7SnbGrPoOCUTjE5b1mHbnkLwGDIXkZmhZoYZq9RYpWCVoAwzcjYoephLwUU5G6xRfYWYawxmLJS1IZdVaiwh9STVj0N53pTOYn3Vglkb5yycs/Bg9J6X+OVskHdgJUUKLlgl2hKUl4CySo2MhTIWWkbgFIHTyBxDaILQcUzGEJogxIfmhGPNjfjHR1MnxpKnR5OnUs5Jlx0H+klgLGGQd2k55eRSdMk2T2BpgcETyDxiGBMGGEP4SCp1YnRszrKPAu20oS7r0rKROGtEF1GiwFTOltF3cbhyBmkPBsGV0yGvO9sGYvhJbiDWXdDxcc8CDV2qiNF8fLisCC1kcIOVd36Hzd8dC/BoVrj8mluN4JzSqmXrISVDx0JdCgODwMOhYbqFdqGYg8IXPG/Tb1GDx6K7jnkeqzUidi2l5+k9Ip9z0SyWDkQie3ZH9u7du3vP/pGJ6XuPnvz08dMPHzy+++CTn9znKflHXH76/OnHP//5nYePOcwPIj3377/7s7t3nz//4OnTH3z88c9+/vMPnzy58+DhB/cffvj4o2d/8KLVb0Yikf1f+2pkd+T1XZFTSK+OoZpvNh3Ab2aDmi0K+hZHetp2GRfu/7QsGG7SQbeh6Qxs2IGn03UR50cpidGaLvYcxPVex4E9D687qGHKNTneMZU+MbvE6Fmg67KeZ3U8q+2ypk24DdFx8ODjbtuAWxI9j3LNyfVJwzb5GetArojRkhitqULLVFqmUlOFmhyvyfGWazYtre/BuiGU5OFeyPhJt2h8LKNjGxzs+x6sED0LpEUttqjHM6ZYMuW6JjYVoSjE8kosY8QrRN60wS3f+u5Y8nrSOU/NKx66OWJd9tC1FP3euP+eha/LwkVdumUjPm3v1qj9bsq+TcCXsOGG0fsdSP/aa68FPv1bb30TIUQpNU2TUsoYeyXShxV568MHL8ajfJDdRUW4YSPupl8fs99LO7eQcS4+fBVqt1PWtSThU1BvT3gXPHiO6e+MOj+YTl9L0b6l5Zm+bCRW5KGKmmjIsZocrxlKCWuLQFgwE8umkMVSxdI5rTpnsGk6oOGCtofazKxqQlUTehbo+LjNzIYqlIXhqia0bdDxcc02OopYFoY7WOf9l90k4YAa2v47dmDgerrb3i23EDn69jzMOSJaWKvpYk2ON4netWHXRTyF3LVhG2kVOd4mOrcMmg7gZNf8CC8taHtb+DruWCCkxeAQ/hLsDXw3pO/4/J/4eRsuKDMti6VVJKzAxKqpLBkSL2tfNeUskHj68PNf/7wM3qUeNfnVtpnZNuS6FK8riYYpc8DuOHAH/0zPekn5Bqezdl42ZwXv2pDf7Vf+qB1qmuvfAQ3y0qMMbYgv+jmDxxk8YCgBL5ODujYOIoc27nm05eIahRVNCqoO1UTWEMtE7zh4w6F9qrR8ULXwHIOHERp12GHbnnbscVNYss1WkvZ82PL0uqcVHTlvyQWPlX274rAipQXbyfjead896jnjxBojZIRi7tOPYjSG0Dgmk4jMQXQamstQXcHqIlQWgbEEIQ+q8yR63oEFF2Utc5VoGWaEmfX8Vtn8CtLOEPUEEE8CcYloARmOBXMDefpQePCfY/8a1ZehugDUJaQvI7AEzVPAOIbMKQTHMZkm9hSmE4RMusxHYJSRKc85Nj56dm526fjRheNH5ueml8dGVsdGCxNj5fGxbNI/w/ARoM2YyizUDyMwg9Fhy5mfmFg6fuzszPSc48wC7RQwlg11yUicBbFFIhRsrekAbnfuWCccm7dJcgbAnj/NcP2EafJ2Eq8naY+aDVWoSrGqIlaB2qAmr/kIlwpfEtzcD1fOK62HcCUHJuzL6iX8zOB1Nh3AR340HaPnw67Hl+J2DK/j4POjZnXErDm47LvVZKqSSjuGtDcS2b0nEtm9a9dXXvvBvZ/ee/HszpMn956+uPfw05/cf3jv2bM7jx785MHP7jz6+MMnj+49e/b+g0ev9OnvPn360YsX7z+8f/+Xn37w7PFPnz+99+TxTz7+6N7jRx88+ehHj3/6wZOPVF2LRPbuf+ONvZEI/vbvVHzQ9GDPw30XcwO948C+u50HHAyutL0gOhhK2wvThWjHPWw6gCvDvg2LUrRmSn2fBHvcBm0PdW1YNcSyFOth45xLuKoM9V7LhWG0IIwT7FCVXRfxGGHoNnDd2yZ6LT5cFaINXeI+WF0TK2K0KkRrWG0z83yS1Q2poibWLbjlMW6HlELToemAElGyhsjLd8pYqyO9oUtNJZ6PD+fU2IoZrTBlwwY3k9b3JtM3R/1Nalx24a1Rmw/Y/d5k8h2PXtOkc0riho1ujdpX0vTqCLuVYteQfl78B/L0CTG+A+lff/31AOn3739NURTLsvjgWoSQbdtf0mU3iPQX5OBqLiXx2+Puuyn7miavDx+8CrXbI/a1JHln1LmaJDcn3MspcsE2+dD0yx7acIyCZayY8RV5qKLGGnKsLkXbSGvbYAXLS1DkjfVFotRso+0YXcfsOLjhoIaH20ncsUBNF6ua0KFGN0m6zGzpUiUxXFOFnhOEkTuKWIwf6mC9yYwa0znS910cjo4IHT7uxrXTqJ3kRiXuMdSzACdx7G1pCr4seg7qEqMmx3nwoONjrji6Lmozs2ZKLWp0XdTyUcM2g8/bsG2Dlo9aPmp6sOm95KO3XNiges2Uykq8rMRrutgmOidxe6UM+seBi2yBngUGkb5i6XmqZKm8SqRVU1nSxCVDWkNqnhh5qhWJVh1gGwx990BbfUGcvGcFjnuD6hU5XoodKonRiil1kb5uwb6LWy7kxHYtF3aTZH1L3/GfGaRXHRTC8+Bm67ooTFXs0KRfZJFwpTBoQ2zzZ72sPrgM2g2Br7aleQfVwcsW2JYf4LO2R6rUKECtaEgZMbomDGe0RM6UKtTouuScy7pUrqVAxoETLjzOnOmkf4zah5k1yfCy59Qtu41R18YtH1VcWHZAc9yrjbuZEbqQxotT7tLc2KmpkSOjybn06KTjjDIyQvE4JeOU8Hj+JLUPQ3IKGEtAWwLKAlAXTHMRwCUorxItdMTDZrniVh98nulF2yy4qOjhvAPPQumkHj9lJJaJmndg3jHzTM+z7YI7bi7w8EDegTwIUXBwhprL2FiC5iIwFkx93tDmIJjEeIJYM9SZwfakxabSzuxoatJzxggex2TWcedHJ04fnjtz5OjymRNrp04Uz5yuLy21lhcrC6czp44vnziyODu1MDM5PzZ6dHzs7Ilja4tnTs5MTVA0CfSTwFg21EU9fhpEz1Ihb6k1pu9I5WxHegb2Fw8v8fW2sVXkwe31IDjkB2SaLajW5HhTE3sU9hzSTbIQrdc9wlGB1wQEBJq2sSPWxbcz34k8edT1QMffuYwHdhPe8U7XRdyZ6Tiw4+COQ7lz3PXtXtLJs1gP4RwbySwWSh++n/nk7sTi2dcje/ft371r396xw0fuvvjkg8+ef/QHv3r2R3/y4vf/2YNPf/HJf/LHj3752c8+eXLv2aM7jx58+PjpvafPv7D2/unTnz5/+v7D+x///JOfffLs0S9ePP3lpx8/f/L+swe3Hn740R9+2u6sf2XPV/fsPbB/z+63du8uY6VjAT41m4/da7lmZ4uJfDuitpUL6zi049C2Tdo26Ti057C+a617jBfwhndp0E9Yd1BRitaBvJ6kIfw3HdB1UR3IZSXewXrXhi3LbPko4PP2za4HgoRdsIvDwO0WKnNO8a010/Rgx8cdB7ao0SZ6Mx6tJ6JtoJ7z6aZHmoZcSQzXY8MNqPQZuORbDV2qqImeBRpU5xossC892PJR00cVS88jqYhlzu9SwlqTgTbRG7pUlYZzsYNZPb4Io0VLWXfADZ99d2rs+qh/zoFXfMxL2a6n2buT/i2XXNTFrhS95qIb487lUXZlzLo5al+l5nnpy/rpX4n0b7755p49e3g/fUQURdu2eZIeY/jShJuXmXOubtXeX0nErwqJy7Jwk4K309YVH98esX845l/RpAtS/CrWb/jkvenUzQn3yph1fcK5lqLnLeNyitwYdy658IJllGw9q8cX9OGyEm8IsaqY6Jk6L/7KmOKCGl2DUoHpRaRWkdZmkFelNjzYSZGGbfYclI8fWsdGP21vMFw2xEriUEONd1zznEtaPmqoQlmKNZHassyOA3seHgz3vcoq3wabhg3DLHWwpIKQHVj3SJcY+fihhips2Kjvk7plcO+hS4wWVDmR084TWUE4IYy386gRZ7tsE72lS81ErJmItTWpQ42tPf8KeWVAIoD5Lbu1bYO6ZVSYlkdSBhpLhrSoC8tIyRK1RPUqM5sO6jnspW1gb8WrX31zQJCtSNOWC5tIbahCVYiWYoeqSqKhSx2sbzp4w8XcdAiUo4fDjGnoeL3Sa9/xWwY/sx1E3ak68efrGHbcqzAXyKMFn3ez+Nr4vJffcWDXxn0L9y3ccwgvfSgitYTUnCqWxHg5Hi2Iw3kgF6hZo2idsQ42111nJeWO2nh+bGz52LHj05PH/dQkM48xtEDJAkFLDKx5qOy7TTfZmJmqT0+Vp6dLh+cKR46tzc2dnZqaHxsdH3EmfGfScycdb9SyxxibYHgCgSlE5hA9jtE8NE4BZYmoWcfIuXplxKqkWCXFqj6teCRAaA8VbZhnZp6ZeccMHH1qrBD9BBDnjcQJLb4AZB4PyNjmmrVtJfA8fYYZQT1/2qmN2NU0rSZh2QE5ai4i8wQCRwiaNs0ZQmeZPY7ZOLFmfH8unT6eso44aJqqY0QeYdqEx+bSoyfHD5+eGj81O31qbnbh6LHi6YX2Wqa+spI9fXL15KnFY8ePTUweGRs9NT19fHxy3HKSkC6o2iowl4ByVo0vaLEcUcvMKCK1gs2G/dKaabk8Abxti/ecwY1GgrSxu93n0mSAk203NbGSGObR4A41ws0e6vEws/b5ffEl63YgH79Twg/wfdq2Qc/D60kaxPk5GlmgZZlNBzVdem7E3bTI+Vr5wX/9bx7+2b+9/xd/cTqTjezet29f5MDXv/7dD+999id/cP2Ht06Ws6vdZrZVLFca9Xar2W9fvH3j3scP7zx58sHTp3cf3X//waO7T559+Pjph4+f3n3y7M7Dx3efPPvw0ZOf3H/441+++PDT5+/cvVO+dLGwuXnl3k9+/KMfvPveD99/8eB7nz16/NFz02AHIrv27NnzG4eic56/evJEg6bXoHGBgb6tV1xYda3Qhg5/2tZ9eKkMiNforHsstNgGN3vXRZyLmrN3b7iBgmpRo+GCDjU6ptLQpQbWuCXHVeXgbQ+PuV2pY7/kz4RX0nUJNw1bltkmejk+1BBibQ9xAt0WNcrDB0titEn0dQf1qFnXxJou9izQ83DgxQ0ENhq2WcIap/TJAqmA1apttD3UoUZDFeqJaEYeXjJjeZjoMr3ngms++9FY+uaou0mNayl6e8K7miQXPHh73H0vaV2QYn1h6DJU3xv3bo05t8acmyPWLZ9uKuJVIXFTEM7HDl0eOnQxMXxZiN8QpIIR48w5PHqPMWQUE0KYbQ0NDQU+fSQSSSQSlmXxGD5CgDGyHb3/HNJvRA9xpL8mCtdE4RbQb1N4BWnXLfgOQ9zKuAn1tx383qh72TKvOvCai65a4DxWrybJjUn3nAf6VM07+qoeO20MF5VYPRGtCPGepnLHvYhU3ryYxUoBq1stZ0bgnPm4Y4FNBxfjh7qG0nJxF5klXagKQy010XaMCy5tJ3FNFcpKvIG1tg1aLuTx8EFfeWf0nhntrSau0PZvOmBr1wGeUF93UA8bNTneBuq6RzopwhMKPQd1qNHA2qs9cis4NVcBDdvkMf+OBdoealGjpgql2KFS7FBNFTrUCLXAl8uO3zKI9A3brFp6AUlrQF/WJV76wCkCOdJ3bbrT5n0V0m87u8zkSN/xcZeZHai1dKmuJEpitCgMl6VYEyg8/hF8ZcuPHwwYcMP8lfpxR1ZlOwb4pT/8JcfoVQZQKINZj2CX+qTvky/6vdxQ4EmcugVKWCtApQDkrJQoS4lKIlYUYllDzBG1QkHfYn0btm1yhsFRpJ9Ip3MnTy6fObl2/PiJ8ZHFqam16dns3OHMidn84vFqZqGdzZQXTufOnMqcPrly9tSpk8dmZ8ZHRr1U2ppAxjSFRz3vaDI16TjjlE4QMkPoFKazmB5BcB4aZ5CWsc1yElfTuDbm1EbsSopx3rog5O7C0laLfM42cjZYJdoSUBYM6RSS543EvBo7Y4grWF2j+irRlolacBEX7sdzV77o4bLPKilWG2HNEauZZhWPrjJ8iqAjBE1BMI3JFLNGMR6ldDrpHx5JFyanCyPpnG0vIvMYVKewniYgSfFM2p0c8SfHkrOTY8emJo5NjB+bmjgyO3F2ZvrU5MRh35uy7RnXmbWsKQRnMFgF5ho0VqG6ZIhLRmINSgGhLNLrFhj0jLnZNxjdGSRa727V6u9cJ8xct2BNFQqxgxUxWlUSFTVRB3KLBnqAI30QvWfmDix5JeqHweQd2bodC2zHa74Uw3PxVrGOA3mlap9aZVOvrVfr/+T3O3/8TwufPvlmQjoQ+dqBSOTEyYW7j17c/u4PXNsbOiT+3iEpGhMj+/ZH9uyO7I78xm+/ubCyeu/Zsx/ev//RZy8+ePr0/ceP733yyU8ePbrz5Mm9Tz750YMHd548efrkxZ1nT8v1FvCSkCQxS/vTszpEclydODx14XtvP3r085V2PxLZHdkbISeOn//jX1X+00+bP3r3zMqJhke7ntGw9Q2bdAYyHWE6rONs29/cwGoywJueBmtrXgJ7Zq47KJizZYHtQSdJ0sJaTRUautSiRlC9+wWxz66LwkrA7efyEtIHNmLDBU1mtIleE2MtKdH2EJ8s3CR6JXqorMRbWOvbsIP1Kk9WWqDroqYTFGl1LBDQqzO9hLUclNe0RAEqZWbUXdD2UAtrdSXREGI5OboCE0Us8mEoV5Ps+2Opm6PuRQddcsCtFHt3zL09Yt9OWbddchNql6T4dVN9L2m97dHbKetdn71r4fNC4v8/0oe897yTHmPIGNnup3+VT38uPnxFTFwVEpdi0atC4rokno8OXVSEG6p8OTp8JRa9lIhdVITr2DinJC4qwiVVPK+L67pw1cc3J9xzHuhQJefqa0b8tDFcUuMNIVYR4uua1nMId6nLROfscnkU9KS2mcmfWd/FfRtecGlVirU1qW7DHgYVU6qJww051iDKOgVNB9QNqawlQqTngZrOl0SDg2pSs0H1OtF4G3cNq4NWapuZbaQ1NbEuxTnyNX3U8GA7iTlm8IKaz6+/IKDkIr5KakznAzNCLOxQo4nUFlQ71Ojb8PNp5lCVDJazvVTUxpHeAtwv4dTQBSRlTXXFkAOkx0oBq1VqtCzYZGjLD37JS35luRzPEXScIEbaddG6g3jlXReoNTleFIbrhtS1A4uqxnQ+Kn77B24lQb4I6cOQflBguOVUDX6Ml9lzJcKf0aCvP+ijf9HzbbPtiif+3/CAOxZGWLPdcnGNmUWo5Awxqws5IVoR4rV4rCjE8pqQg3KZmG2bdD3QttGqC2eRdhSCkyMjx2anzswdnpsaPzV7ePXoydyJ09nTJ3NnTxfOLpbOrGZmjy1Ozp6enDk5NXN8dHSKsUkMD1O0QMCCy5ZG0wuTk8dGRqYsdwrTGcImCJki6DACx5GxQIycC2tJ0kjhyohVTtKih7kTH/jltplzg9R7wQW8TC9DzVWsn8bKCVM4qScWgLxmGSG6fx7pg1S9TfI2KvmonqKtEavqs1WGTyBzjtFZSmYdZ8Z1RykdYXQ2nTo+OTF3ZGphdqowPlr23ZxFFyk8go0JIB+F4AiCc4zO2/Y8c44gPAvhDMFHHHrYZmMIpSGYxHAOm/NYX2B6lhhrSFuFyhpSV4C4pAkrhlTAeh5pFWoExbNBpJ2EyBFm8XklR8Peri3ljzuYFOUg/m8TKCUxWpHjZSlWEIe5Zu9uxeTaW80dnFydOwOvRO4vMTF3fn4gb8Vf8zVfYybnjeC1XT1/a81b2gUPZJiWOX1y5fTKkCbt2xt57cBX9kQijStvv/9P/nQ0n3v0L//FH/7VX/3ir//6s7/+q2d/+p/tfvPre1/btysSOXb65MMXn9598uyHTx798P79Hz14cPf58ztPnvzowYMPnz17//HjHz14cOfB/Q+eP/udbx0sP7j3q//133/27//nwvVbu3e9Fons3b0rIhnaube/V/zB91//5rcie3abs4f/+X//v334b//y6Z//+e3bt1qMbVhmPwmaSNxhsg9YPEEKLOxob1DeMfS5aAe/FdyV3wJ4rk67NuynWQ0qZSXeBEpvoFUnTA62bcBVd51oTaK3bH3w0bwUP7AAnx/fcs2mY7SY1iZqXYq3pETTAT0LdIlRBXIpdqisJdpE33BxG2kVNdFGWt8OfAYehuEnrVKtTPQCVrNAyhlimegNB7V81HFgEyg1Od4U4yU5tmLGcyjRtLSGa5xz0TtJ54pPN6lxw8Xv+uwmBTeI+a7P3nHIZVW4FoteE4W3oXED6jeRcRPqt039euLLfPqwIm8H0gf99Lt27frOd4Lye470Xx6951Pnr4iJy0L8fHToohi/LAubsaHzUvyKmLgSi16KRTeihzaF6BWgnlMSPJ1/Xhc3DPGGi98dcy+55XRv0wAAIABJREFUcNM2KkzLqbFFbbisxBvxaFVMrGta1yW8Ka7poCJSORUaZzsKcbHjwBY1NlxcU4W6JtYs0MFmBcp1KVoThytAWMdGwzYbQCvpUp0YdQs0bNj2SNA59rnuDi6bKbKRxD0XNK1gPnSdKjUiN2yzl6J9nwSFG6pQEaNNRTjnkr4fxH86Pua6o2XBFgVBc4iDw8jVYDy5QYMpCHULNB3UsiDvg+fFvT2P8o6AsGh8R4fY5+LtMGzkC5sG+Y6qEL0AlRzQ1gxpWRdXgJjFSpFofDxMg8ImQ59H+rAlgUvYENiioLZFOsSdKt7Hf47ipqGWFaFuqvxNPoGDfyyscOTXxgkDPueQcfs6SJfw+8Cf12AahTNvcCqehg35nQm74XlBE8/VvbLLLkys8hFkTaI3sFaDSg3rNaxzqh/+RPiv6PsB80HLxQ1sFDUxK8U4JTBnWi3Fo3klwRNydRt2PaNvm/UUXbHRGV0/YsIRRsZsa8y1p5Opo6OTJ8amT4xNnhwbPzUydTo9c3h0YiKVGvHsUYeNUzSJtGPIOMNg3bfKaX9lPH12emJ+YuKwl5og1gSxJhidoGgKm0eweZaCjAVKtlm19Ly3BdUW4EjPGfQyDsg6IOfCogfLSVpO0qJLCg4+S9STQDxlCItYzbmwlKLlJC35JET3kCyPvy5aJMtAMJnehXkbLRBwDBiTEE1TOuu5U56TpiSJ0aTnHpsYnx8ZXx2bbIxMdNxUw2I1mxQcnHFgxneXXOsEhUeBdhwZpyg+ztAMNo7adNai45SOUzprWfMWOkvUFZjgPI9rSM5gbRUqAe8YNvJIKzNQt7ez42HxbJjK4b4j52saHBUdTo7u2EbLgnzLtLHZJaAF9aomlRWhrsldAjYc2ndp4Ik6qMlAMGdra1UPNO/BMBAYhqB4uG5HHUwQiH65PI23xQZbhuhNFnR/hKu3mdTPe/olx1z37JLt/N6Bvfv57PkDe0tvv/PdP/qnyVLxf/z1r//Fr//jn/zHv/1Xv/71//L3fzdsmnv27Prart3jR4/cf/D0o6ef3Pvss3tPHj/55S/uPnr44MUn9z95fu/J4wc/f3H/0xc/++TZj58//fa3Y//8b//P/+rXv/7Tv/2b//b/+r9L7727+82vRyKRN954o/Xu9+/8+b/67W8f2hXZ+9U3f3es3jv7/vc799/PVVYrSWfDRnUg9lzAp780bLizBM9GXJ/XLVAhehlrwfAwZ2exXlCWT3TuY3CGjLAVqO+zGtQqqtgEWt8KtGszqOQHPErKYb5OtAbWdvhIPLrA1V2XDwZ0zI5rtlyzbekdqpWlWEsVA6RHetkQS7FDBTVeR3rfwjVDKcqJDgE9hzQZaLmYkyLwOq0KNQpQ4SSnZaxxuOEhh7ohVaVYU4yXxOiKFs0Y0QZTOdK/m3Ive+QcMS4A5ZIqXpaFy6p4RZcva9J5OXYjEb8pidd15bIqnhdjm7Ghi9Hhy0PRK2LihviPQnqepz906FCA9JFI5K233uKhe4wxj95/iU9/cejQheGhy0L8ohjfFKKXTeWGja4xcI0YlzXpkpS4oklXgHrDRm979CrWr5nqNQauuegi1a9b8LZLLmP9CjObhlyOD60IBytitB4bLidiHV1tubhLIU+i1G3Im8JXTCGD5BJVa45Zc8yqpRexXKVayRTLhphHSt1US6ZYEYeqwlAFCJsUrCdpx0J1pIcbnsNG09mJ8WH2jlM9hEQWHddsWlqNyFVLDwo3sFY3pJIYrcnxDWJeSTnn/K3smg27FLaxWYMaL9XmKBjSzwXAb0E+maoC1fLWmL4a1jlvFGeIq1CjQc02g3WqcOFmB+ecalraDs64HYZL36VdG9eJwSn8ikjNI23NkPiQDI70ZaKXkVGjsGHhLZ213XYcpr25uuTSoGaTmBUSjOfitkKFGgWsNg21ooolRSgDhc8A5BxYBahwa6ZlbZMHDCD9TrDfLs1NMs4vxLUDB/umg0LqPa4gthviBxhIvhzpd8RCOOpXoFpCahGpwexEatQtwOP2nKigyUDDVPmwgzVhOCNG80I0YFSVEyVTLiK1zIy2o7WR0nRQ1aVVypYZm2B4FKMZRqaYNcbsEcJSBKUoSDGctOk4JeMUTWJzGunzWF9hoGShOsNV18qPeGfHk8cmR46MjU463iiio9Sa8pxJi01ieBiBEwQsUz1PtTJVs05QRle0ISes5dH7jAMyDsi5sOCCsosLLspZcI0Yp6AU+PRIWbOMrBO01YWlfIOF93kHlhycs0GGaVlLzzswY6HTFM0hYxKRScomXXvSc8Ydi/P8HEkl5w7PnJk7vDY3uzYxspSyln1SSNJKilU9u+CxNRstY2OVgjUGT2PjsC7y0TsjxB5l7hSzjhKwgJRlI7YGhQySM1hZQ+qyKS3qwrIurZpKBqoFalYD7kUjXJ/h0MtBqdJgFHXInhYW1vF1xTXAusf6FuZ8GBVZ6CJz02XrHuMcVpw5I8SqKg2+y0E6jMCHYN/Z6vr7vHS34DBERD4brYTUItBKKBzIplSIzIdtVl26ZkgbvlMBximKv7nva7sie/fs3n9g/77rP/6wcvn2t0Tt3/0//+Gf/R//+3/xt3/zb/7mPxyvlb/y9W/sikQORCLfweCDn/z0yeMX79y5U6zWdIhef+M3vvmt3339jd+AlF28fv2jx4/fv//x6Wr5N9/83X/96//3z/7u7/7s17/+7/7+79cffRz5yr69kcg39r9+9tzFR//uf4jGpK/s2r8r8tW3IrtPQJIfSy9jrWTBdQs3oV52Ayuca4DBR8BdDj6Hk2+xMtbKW3PhQrwP6Dds2OLVEtTo2nDdI0ExE9G7LmkSs6rLVU2qG0oLGS0LNhxU2yLlrFtGZyt3HtZgDgRaQmMiQPp1B3Q90HLNtmN0qFbRhTZQ20m86ZF1CiqmVEkMF7VESZdqUOMc+3Vi8Dl4LTeIKLR8VLNAAaucnDuPlLaNuKPC44gc6RtCrCzFVtThjDbcpGrLNS8l6XdH/Otpuwvkc4Z0QYpvxoYuyonrQLtsKufl2MXY0KVE7LwUv6CJFzTxkiJcSsQuxxMc6Tf/cUhPLfYS0n/961/ng20wxv+gT39heOhidPhKIn5BiG0K0ctYvzlq3xh3bvn0ho1u2eiWS26l2Ntjzu0R+6ZHbjr01oh7bczdtMElZFw1tA0psaFJHV2uxYdXxUMVMdqIR0tivGNoLY90KexYqOfRtkfKROdz2ILIM9OLlpGnWg7KeaRwvslVIJYNOW8KFXGoLBwqm4l1Cvppdi7lcKaXgBFvi+Vthwk5gHAD3WvedsMlZ4GtI72kCHySDWfYuODSdWcrnM5Qn6EehSFRzxchfYOa3IkMV38JqXkg88F6eaQUkVohepN9YQvcFuPb1lLb2iRB7N2jHQfXsF7iNPhIzUF1xRQWtNiSGVvDYp5qBawWoPYy0pMdd2Mwdh0w+di45eK6i+pusCc5G1RZFQuqUNBFvpP5Q+FDG6vUCNh8Q5Ki7VYcsh26d4y2YwxW1fESqsAwogZn2OUKom6BwO9/VQa0bYMdIcHB2vvuy0y6XRe1LHPLHlIySM6g4BGUsVaDWhlrJaqXkFpRxaIQywvRjBxbVWJZKZaNDxWiQ2UpUdGkAhBzRC5iuWqIFaKWGaghtErINIUztj1D8DjG45hMEXKEoHlsHkfGMWTOWOCog046aMFF2SSpjFicsj7ru5mpsdOzk4cnR2dSyXFKRxAat9lcOj3tOOMYT0JwBJtniJ61zLKzRZZnA86ZEzTE2+aabfI/ZS2dv8/76U+YwnE9Pm8kzkJ5hekhq27eMXO2kbX0rKXnbCN8HRzTMXKumXPhsgXnCZzGaIo5E4yNEDLhWLMp/7DrzlrWEWYfmZ04c/RwZv548fixwsx0ZSTdcf1N2y1imEVmBpkFinIYLOvKGV09g4wJak/Y/pSXnnL9SYznTHWBPwszkcVSjqirUOFsEIu6sKAlVoCcRVqRbCNHiCJ8BgR/zS3pOjFCAA4rM/hz5/ysHLN5IK0J9YoqVhWxSwDnrOSsmpzKrZtkDRuWscZtaI5nZbwzhTSwGgerQQf7vrbf4aqJ64QyMkpQLyKVz1otIKmI1DLRc1BdxXpVl9ehXp5OfzOyb/ee/bt27dJF8dbdj05W2vve+MbZRi292SLtyuF2NfLVr0Yiu/fs2Xdgz1et/Nqv/vBPK9lqZN+effv27dq1i1PZ74pE9u3bhwh+8OTxg59/Np/Jvrb3a8ffvvLof/rL9//yL+7+l//5m0PDB3bvfev1r+6P7LaXVz/4y//mt3/nYGTvvsjeA9/6WmRNinJGv6xnNm1yKZ3KM5Nz/dYswAnCwydSxloBKoFyI1o4ije8J2HJZNgX17EAn4IdmkdtZvK/1pFelOKleLQui3Wk1yxQoUaZu0zM7LqIcyPyeMCA4bUdP2h6sONAHr3nPj0P4JeB1KNmO0XO+fQcg1VDrArRki6UgVKBakZLrKlxTn9egEqFGlsDjvU8Ujipfh4pVWZyu7DrkrYNOtTgSF8TYzVVWNNjeXW4Y0otKJ/H+m2bXrRgH6k3k/S2jS9r0nVsfH/Efcej53XhghQ7pyT6SvwS0W/59L2kdR1ol2XpkpS4JgqbsUOXhl9Cek2QXon0Bw8eDJB+9+7dr7/+OgDAtm2MMSHIsiiE5hfm6RPDF2LDV4VgVv0VpN0ata+N2zdHrHdGne+Oee+MOjdGrCtpesXHt1Lslm9dH3Mvjtl927yA9Mum1hfjPV1sYa0kx5bV4YqaqEvxsiJ0Tb3t07B9ue2RCjUyJqcRFrkizmIlR1Qezy8SLQflZSSVgZKHYlkeLoqH8nq0A7W2hzZ8q2OhvhuwLnMI7Lok5IAbJIPjNlrIxxLk9VOkncRFohWhUtIlPkenoopNqHcI6DPQZkEqus3guk02HKtB4SDShwcfXNA8xsjplwtY5TMY+M8JpxqXiT6YhXpJkrCd5MzYuOWjposD4mgb8vgzB8VggA2UV02Zs4wtmLGlgbG8FQxqNHAvQmr6hoU5r8AOYjvObdf2SNMnzS1vpkz0NSgVDSlvSnkgB/NyoFxE6iAN3yDtbthN+wqkp6BFwSBxYYuCBjY4tzmva80DucrM4MJeznTuwPWwbTqUQeznL+qWwbnK+ZVnsMKHaWaBlDOlgi6uAnEZSWtQyqmJvBBdk6JLenzZiK1piYwYzceDwYZ5LZ5BiRUgFoCcI+oqlDK6PK/LI1Cbca1xitIYj2J8jLGMbTVsq2Ozjs3aSa/jez3X7jt233M6SafuO0WXZSenssePnzo2Nz2WnnHdaUwmEJjx6JHkyLTtjVM6jvEMBieIscKMvBPCuckr7YPiectYtYwtFN9CestcoNopQ5g3EidM4TSSl6mWsc2CiyoeKbiAozt338PXBabnbCPn6jnXXLXMU8ScJXAUo3HMxjBLITTKyIxrHWZ0FuDjiB1x2XzKX5iezp6Yz5w+uXziyMqR2czcdH52cmkifTrtnkiyeQsfY+jUaHL12NzasVOLR44tHjlyZmr8iIWOQXUByCtAzJiJLBAySF5D6gqQt8A+vmzKq1Dhj4k7UhkkrwEl1A+8GKXMnW9qNnf2rwec8xzpOeN63YZNBupIr2pSw1S7FPZdyjdpSPLISaaLSM0DuQAVDsNlMhhd2yGvzhKG3V8hy/VWxg2WkZEHch4pOaJmkZZFWh7qTSYtWlKeSjUaPzVHfnv/3sjuyBuvRX4nFt14/vT8L38R2bPvtcieyO59kT1790Uiew/s3xOJfCchfe2tg7Pvv3v/sz/6SuQrfATOgQMH9v9/tL33dxzXlS7aYJKo4CRbHo9Forsr10l1KnY3uhuBBAGCOSB2zuiITIKIBCnLcpJkSVZkUJY9HntGThrZli2PnC3Jcpxw78y979f3V7wfTnehCRKyr9e7a30Lq7pQ4dQ5++xv733C3r1n7+49e2+7na28Onr65Ktf/05iaubuuz7q2bF7p2dXh2eXZ89uzy7Pnbtv8+zw3H77HZFc/sGf/+Tjn/iUZ7enY/eePXd4xqmSj+CqBYp99mTAbDhmPWq6TM/iedmWp8F0NdPbWRuVbFIJ0PbP3wJWewVNLmmKO6mi4WjNATWbTgK5xPnLAl+CcpGCnI5yOmJ+RdPksgkLCbQmAlM3eFAO0MkgLTvNWTtsg5ZJG5VNmDfluoMmw2QmQKY0JSt1TgqdBcgxRZ3CUhKJLGUOy7zHfAM3l10M8hkNTFqU7ana7tPnJX9R8hdUPgm5vOKbUoWq7J8S/CsYzulwMWyuRa1LEfty1PlMX2gjaq8F9Y0u44Eu6/6IsxzQ1qLWpb7g5ahzDkkznK+d6Re2YXpKya2Zfu/evRhjttDuL87Ia3D753jvssCvctwy51/X4P3dgYu9gY3eAJs9uBoxV3ud5W5rMahdjFgbIXulJ7DQa0+HtOWQeTFondfRgk0KNkwg7iz2ZSBfkLm8IkxhWAsZNUubChhTIbMSoHkDprRmEjaWjiyOhJQmZzQlTeQsVZNIHNPEDJHTVMorPsb0FaKUHVzWUQErFQM3KaQ1hreF25oM16JJNxcLM06ZNZoAfBaIRSiXsTpt0fmQzTZcrAa1esSodTX32W0ErTxFbJCeecPtTM82uGUxBhYCYhwT16Q4EhJQYEzG/rJ5iLdEVhezupg31YIFGAsWLVy0tKKFXYcjqymsj7W2vhdaGb79zGZKU5AlME9R0SBFEzF3uWDAokHcFzFF5qKkQ2aaNLPeUZUFVJJQaOaPonJCV9gAQckmrp2+ZZffesDcGsBnS2/bxvJnQhYbhqhZzaQ4OR0kkch2qmGWDUtQVGpLnMPS8Gxp2TYgN6dIyYJsxmKOthSrocZNNWYosVYqxTjgR4lwVhdHNCGmcjHRO676hwk/SrgYEROAT/NcgffnBW9S7Uxq3KiuJHVlQpeHqZDS0VkD9xjgUJdzrK/nQKgroOsRgg9r4KyuTFgwESBZh6Z0lCIgbeBUgMa7nfHBnomTh1JHjiVOnToycCjiOP26eYSag4Z2OGQMBLoOWoEe0+4zzQFDP6KjM7oyYYJUcHN/+4zdirqHaNzBzcC+1VxKN2Ghs7pylkinkXASC6eIOKxJ426KvC7KyJ6lxskESSZI0gGcc3AuiNIhlAiiERMco6ifat2G0UedgUDXYCg0GAoOdQUOm8Zxao0Ho/026TfIkGmfjvaMHDo8OngkduRo5vjJythYeXy8OHo2c+JY8vBg4vBQ/Pjx2KmTieNnRg8fHhk4eLa364RNTlN5lMqjkEsgLgb9MSLGqRqn6iiRxhA/joUxJE2Qpv3azEupSRNEZnnQY5rEbFkWG2MxIdcCZo44+8mIfNLRJoOUpTIqEjWvilWKpixatym7mMmY2wuacTgdFExUDtBal+kO0m9ZNnbzjjHNcf22GTDtAl+xaJaABJRiREzogE1InMCgBOVhTa071oKpnYzqn9xxp8eze4/H86H79pVffenBP7wj9kTu9HTc7tl1x4c+vHuPZ9duz1237/07UYqcGlt6/2fG0Mldnp0dOzyeDk9HR4fH49nZsaOjo2Pn7l2eHZ5P7P/0uYcff+oHr+/82Id37t5x2949e3bv3HnHzg95PHd95MMLD1/yfOjOYCH/0v/6j32f/LRnt2eXp+OeO/eeltUxG9aAkrNpxiQ5Kmd1PmfCnAlZHNvlwjRVmCmW0JWUCTIWLFrYHWTcMiWIgbF1kSqTBmBs3dwSMWhMReyZsD1taA1ZrgpCSRKySEoSJU1U1twlNsHWRGwuTtVEFQu5A7jNrEgOmbRJ1SQVi5Qd7KZEyjlqI0RKXbhhwSoU0sK+Mt9ZwgKj+WYWTSrHNSmuSWwSyTjLA474CSwksJjRQEHH7jSORpDWLDxJ5LzkL8hcRvYlgL+scguqNCX45wRug2qrIbNhALYL3krYWI1aa932etjciJif7w19sb/7Urez3uOsd9sXI9Y5JM0r4v8p0993332b0fsPf/jDhBC29b2ua6apu/veA5Hr9XtzWN3g+PMyv8RzM/798979qwK/KvDnOd8qAZci9krEXImYS136cthYjVrrPc5Gf9dGf9dKj73S5Wz0hFfDgQsBfSViL0XtuYA2ZaNiiCQxfwZ5U4gvqUIOCnUNVLqo69JVLJLXQdZAKR2OafIoaSZ0Z1mtXKR0mNLUFJRTspASuJQs5LCapyipcAnZnwZCjqoFA7JQUnOU2oAs5uMOlhdNlNFhlsIshTkNZinM6DCjw5QOywRkgZhW+CIFLJRXDRnlAK0EkLvulvXhggHTQChoKmvsZha7lgHRHFBkLGXjnAlZziu2zYKbfTXe0lYpQ03qSkpTk0RJEiWlqRkNZCnMEsDA4uRs4NyFm6uR3ZUkCkvhykY6RwA/xoZCTDmpSyljM4MtG0fIaorrGLFstuw4QeU0aYKFRnNUTWMpCYUk781BKUfVlCa7CcfYWr5Sy4pyTauShV2ibU8BUg3iLdOU3P2xmwl7NIVVlFuMnAa3IE9RnjazFG4ZKZw0UN4iWQNlDcQEwI39JnWhBclFwpCSFIwS6SwWhpEwonCjsn9c5SeIPKZL41iIQT6pcCnBl+S9adGfU4QJXZ4wlbgNEg4c18FZis4GrOHensSJQ/ETA7FjQ2NDh0cGDg4f6B7uDYz0WOlI1+Shg5Vjh/NHB1PHB2InhybOHBk/ffTk0WOHu6MHde0QxYdtbSio99u0z9D6Ana/bg4SY4CaBy39oIWPG+qopiQCcioIkyEcd3DcwfGQFg/hiQDM2kbapEnLSNlmyrHipj6ioTNIPUukE6r/JOBGiHoWyWeAMqbhhGWkTFQIGXEDJS2SCRlxC8cdEnfIuK3Fg0YsZIw4+nEd92voAKV9ptmnwX7HHIyG+3sih6LhI5HIEcfuB3CEaCcROK7JZwLkRJc+EDAGw+GT/UdOHhw8c3Bg5NDA+ED/6GD/yf7eob7ug93hoXDwsGMN6dpJDEcwnMBgAskTQGhmoMfSOJYmiDxBZHbM+H4cCxNEjGlSQleShpo01DSVbomsAbaAcVLWRkUT5Q2YtmDOhCxbWkZTWM5JRupNdjchSwbNjMK0CdgQGDM6N5eT3RheupXkbw5FsWM33yOz+5NESmA+ZcgZS00ZalyTElgeoZ0J/9/HDCWlw4PYFxS9B/sGSpc/O/rZx2Z++JP5t38x++M3+BODezyeXTs79nh27PTs8uy4Uxs8PfX8Vx/68x/u5clOz233+ve/+MPvXf2Xbz/x7deuvPH6le9995Uf/WjpoS967tgzUa8+/d4f+8oNz84Ozw7Pnj27dnk8nj27997zifhI9p5ONP3yd+ff/d3H9n1y126Px3PXp3bcdZz/u6QTmCR2DICCirMOn9agm327Pf13kkijRBjTxKb5ZYC8hRjjtlvh7QP8bhK8emufq6qNKxYpden1sDUTtqcChjt9Mq+KSSQytdCcBGDggo5LOs4aCks3l78R7rALY4GCiZj1ViagYMCCjQsGzCtCnvfnZD6l8mmqNHWyqcYsddyQxw05ZqlJosQ1aZQIo0QYp1LaBHkDFgy1bOssDsS2668QhUXv04p/DPtjlJvU5WlTXQjS5bC15hizNl4M62t9AeYer3XbG33BSweDGz2hi93BlS5rvcdZ73Hu7w2s6vC86N+O6bfb9/6Gcfq7774bY8wW2jGffjumd7PWronCmigs8v41DV6OOswqWYtaa1Frvdte77Y3egOX+oJrUWst4lzsDi6HzPO2ttJlLYetWRtPGWAySNJYGEa+lOovSv68wtWxUg4SFv1mu5IxhmbdjCVcZ2ndJ4gYbyVcZzKUwlIaCAnZn5D9CSikqcKyHSegwOjQDfizyFJzVI/Ibiwua5G8RfIWyZmYUUJKh0kD5omSUvmY4s8QuWhhRtJZA+RMlQ3VMIkpWThH1SQUUkhkw3hN24KqzHffdMoNkDUAo8+YJrnRraSuJNqQ0iGL4CU0NaGpSQrSFGR0mNFAmqhp0gz7u8TcHr1k8cwYlieQxMwjFvwcAXyz9nQxRoW41rSZWJ9ktdFuRbXDrUO2rDmjKUkkxgEfF7wZKOZ0kDLUODPeWcJ7XXUVqzsq4Q7gZWkzNa3bA908wltQsHHWAMx8cQuQpkqWwlbg7gak3YrSYUYDbdWlJomSwkqaqCx2whREO7vHqewipimjRBom4ggWJ4AwLnPjKj+BpAkixpGQhEJa4dkG+BnRn1cEZqgx4olTdYSop3RyMmAeO9B3ov/QqcEjZ4ZOjBw5NXb0ePz4seSJofzJE5MjI+XxidzoePz0mdGjJ88OHj15cHAwaA5Z+hEdnzDIkKUNWLTfsvotuz8aGHCcQdMasKxeW++x0YABj2vyWU07Q8gZQoapMWyYZ6h2WiNndXraoKcNeorqJyg9Qekxqh2j2nGdDiF6lBhHCT2m6UcIPmUYJ3XtGEHHDP2kbR3VyFENnTDICR2fNNBpi5zS0WkDnzLxCYMcpqhfxwdMesAyB02jl6AwBj2WcbS3e+zYkdGjQ8d7uk8FnWMB46ijHw3qR0LGQMA6FAgMBLp6KT1AyQBBhzV4hIAjBA4QcJDAE7Z+QscniXoGqSNIGscyo/MRwDOyd/meHbPk9ONQnEBSDDeT2yY0lcn/zWDy0A4mG2mqZDUlTeQ4lTOaUpCFvMRniMwMX2ZGu4oipclMhNgTmCwxHy5/E5dkDSVrKO1hgHbhv+VxRlPSrLNTOa6LCUNK6EqMiGNAGHZQ3BFG8X2nCTh6//LUmz9Ze+udi//7fz79h/++8Kv3l3/7H7Pvvj/91k+y118Y++rLw6+8Gn/5Wurrr87+/OeX3v/93L+++Smo7/TsuuOuvcG+3kDfAbO71+k7pEd6Q339dlfUs3NXZmr6s7//U/WnPwrMFj33fdKz6/Z77/pcLq9TAAAgAElEQVS4x7PXs/d2zz7fyX94fu2dfw8+fOW2j+/btXenx7P37/fuOKt/Kt2NR6V9sSDKWuQU+mRW17ZUO1NErk5jnkO7GrxFtLI5wULJalKGiBki5vXmJN+iifIBkrcQm9BX0mFJAwUgZWWeMX1LOYA0BazXt6uaplPURFMhNB0nCtNETWGFbW6d1JU0kTMSlxH9OUVIITFuquNUim12bZktCRmFAjM6Y5qUMlSm5QqG2pxryaZ3hMyypuREX0H0pWTfKPIlDKFigzkHnQ+by93ORsieM9Fy2FjvcVajFksTc6kvuNHrrEcD69HAcshke+dd6raXNfWcsG30fjum34zed3R03HnnnRjjQCBgGAalxLZNN2uty/SXeKGd6ZdbPj1j+rVu+2KPsxG1N6L2xYh1sctkAw8Xu8zVqLUWtRYdet7Ea13Wajhw3tbnLa1owwzkh5EvJfvygreg8jMarAc0FlephYxqFy1YIKtJeSLlkcimrY1j4Sz0n4X+cSywKCs7cJk+pvhjKpfAYgpLCXhDVDyFJXeYjfXepnZm0qmDhN6k1VZibHmUSGmixlRhXOXjSGL/Ze5FTFPYzxhpRqvYG+OATyKRDSKy6CKL8zCVFMNyDMvs4RNEZg9h8ck4VSd0dZwqDGNIakFsRwLLE0iaQNI4FBmLt7z2ppfDwAo5hsQRzI9gcZRII1gcRsIw4kaJMKbxY5o4pombNxKxWUJNcf0n16OKaQpLfbv5CUgaA8Koyo8JvjgQk0SJacqYJo/T5hPYXTFNYY9t//wmiBgjYozwLYgumG3B2qX9LqbT2ZlNFd9Cq/xqnIKEDpMUJilMaCCGlQkkJ7AcR1IcSQksMzAd4VL7OJXGqTKmyQyjWB7G0lkijWI5BqSYLMRkIQ6kEcyPIT4G+TjgY4o/Lvliij+uchlVSKl8EnIZIqawNA6l00g6TtSDun7IsAac0OFQ99FIz8me3uHentGDPcOHuocHDp45PHhyYOhIz6HBYM8hGjiEjOMWPmmgExo4TtGgoQ04ztFo9OTBwSHbOmIYxzRziJr9htFv0CGNnMTohEGO6/gYRcd0cEwHQ1Q9rIEhCvvNJg5Y8KCN+m1y0CEHHdJL9QOG2aNpBy29z8CHQ8ahADlkgX6DHtLpIYMcIsoQVY8b6hHCH9elExo+TtBxgo4RclQjQxodouagbh6gtJ9qg4Z22KSDtn6kJ3zq6OEzp0+OnTpy9sihod5wn2P1Gnq/bQxYBlsof1SDxzX5DBZHkDSK5TECxjU8QtQRpIxCkaViGsfCKBGGCT8ChNZJtyNIo1AcAwKDy/eM8pmwMbj9a4LIcQpimuoiTgFDgsoZIieROEHEFJbyEp8TuSySUprK0DQTW7zunm+G2ZCcwkpGA67B7YZ2W9azsgVM6tql1+0UE0iKYSVOQZyqzE2c0OVxKo1CYRTDbACeFj+1NJq48NNf5H7339UfvT//zvtgvt65ODvzq3er7/2h/v6fF/78X7U//tf0n/6f5f/8n7N/+s/Sb3+/9NYvl19/vbq6cfzEqf6hQ9FoT0/vgXCkNxTpC4Z7w5He/v6B/v6Bcw88sPird6Z+++7SD/9l4wdvrvzTty//07eWvvf659/48ee//9O53/700ts/W/rX9+a//8Ol176euvTg8aHDA5QfUX2T0D+GvaNEGLF9Y0BuVxdu33eVZLy9BpAUZ03W6tTtYBPcxlX/uOpnY7XN0XFNnWB7fWIpSUGWwixSUrKQgEIcCc2nuZoHy1uq3f3J3uI2KKP5BJTGZW5U5cc0OYblhMynRT6jSkkkjxnqKJXHsRQnzUF6Fsk/g3hGQyy6wyJARZtNpqbNJRtBOknVnOzPtZh+XOdKhtwwlbkQXep2LnUHz9vNkfiNqL0eNi91O5e6nYsRczVsr0cDK13WWre9EjE3otYSUc7z3u1m5P1lpt+1a9edd95JCAmFQi7Tsz3yXKbPE3Az0y+3oveXo856t90cTuhxmiWO2A90B++POKu99kqPvRjUztvaatheDQfOOfqCTbOGksT8WexLyF6278q8Qaa7jCmLVgw8aaNykBRNJUf4PPDnZW8WCVldTurSMOJOq95h1TcBuATgY4o3IXvTkjcjejOiNy15k5I3qfjSCp+U/EnJn5I5FxlVSEIhAYUkEuNImGhx5JgmnoV+FjBgGEZNxLA8DkUmYYwCR7A4wrQVkVhUfBT42RyCGOTZAVsywEi0lbNHcnPKuZHJdk5tPtYFUkaQ1MTmeZ7d7mIYccz0GUbcCOZHMM80RYvXBUbzDOyCtmv4EcwPI445/aw87YV0izqGxDFNHiVS+79GAD+scmMKNwGEMSCMAP4sbFoVY6hZYPbedp9sHMvMb2Ou2xjix7B/DDdrfgRstgIzYtqL4dZVy4LZ/Bb2OcOIGyPKGFHG25T7BFFaL23TR6gJ9pNZQqxZh6E4DMWzqIlxLMeBlJCEuMjHFTHH+fK8v8D7S5y/5PMVvd6Cz1v0+/K8Py34UmJnRvalFT6uCCMKdxrwJ4FwAoonsHKcqMeJepLIpzXpLJGO6+JhKvXr8KClHzStfqoPatpRjRwPGWfC9lh310R/3+hg/+mB/qN9vYcj3b0h80DAPhgI9HeFDnRHD/Z0H+7tPtrTMxTqOhaJHotEh0JdR7rCJ7r7TvUcOh45cKxv8EjPocFI70C4Z6in90jPwcM9/f3h3qM9Q0PRwf7ggWO9R4a6B45EB/oD3UORg/09hw5EDw70HToY7Tvcc+B4/9BQd/+xvsHD3RGGge7wQHd4oDvS3xPp74kMBAODFj1G0XGiHsHygE4OhoK9kehgb9fh7shgOHwoEBgMBI+HgkcdvZ+qx4h0EklnkTgKhXEoTgBhQhVHVWEMiIyzGZqSo0k30zzD5pVtfD8Oxc3OciNubH15gigMMU1KYSmBxTFNTGAxK3FpwZdopXh2GSjWkplNgWm9PQbFOJImiOia2q4yGdNu+KgtH9guyUyYR6EwCuRxLDctctI0xEeJNAzlMYmjyn0PPv7o53/3h9Gf/fzcv//H+FNX7/R4Pnmf94GnXlh57Y2ln75b/t0fkz/7df03f5r5yTtzv/5j5Te//8IPf/3g1775lZdffuTKM4+/+NwzL75w5eWXnn7xpa88//xTL7305IsvPnb96lMvPH/5ya+cf+vn53/y65VvfvfyL38799v3Gr//dfFPv228/x+rb//2iy+98vlrX5k8t5771x+W3/1Z6b137//P/5G58kxfwImpYpLCUeAfoZ0TssS0DVM4N/T9tvbaors2dUtbhUwQcQzxo5Bzu3wzDycQRqFwFgtnsTBMxDEkxoGYUsWYKsTaJafVhcehxDCGJNbuTR+gZXaksJJGShopKSinoDwBBKblElhOSnya59KKGAfiKJaHoTgGBGagsPl3o5AbJuII5pNEylE1T5QsknJULTu4YsD2hRiTVM0DPq9wjOknDL5kyHVDnnbwYsTaiAbOWWQlbLClahcjFouLr0XN1bC90RNa77Y3+oJr3falbmdZUxcF33ar7P4y0+/cufOOO+7AGAeDQbae3nEs5tP7JW4L0y/6ffOc95zfuyqJq5J4TvCv6uj+7sDFHmelx17psS/2BtZ7nLWoxZLZXI46Kz3Waq+9HDaWuvS17sBi2JwxyYxJUpaSJMJp6p9QvRnRW0TijI4qATLdXFOh1QNaUZfywF9QfCXZl0VCVpOSRBhFvmHVN676YyqXkP1poTPN7c/69hU695V8nSXOm+c6s9z+jK+TIev3MuT83jzni4neCdk3IfsmFP9oi1eG0SbHtHvJ41jYws2uXLrZYMeAMAr8E4CLQX4CcIzmGdOzVQNs4oYrsiOAHwE8U1ITN7nsbd1AvNmnZxI/DjethDEkMoJ0bZQWbu5IQiuSz48hfhg1mXVY9Q2rnBssZcp3C0ZVwXWq3IJNIHkcSvGW+ttSSyNY3PJpzZI0e6A4DsVxxLfgb9U2307z7fV/E9lvfsuN94oumtyA5XEsuwpoUyWxFlf5UZVnjTICNl1JZrichfwYEGIynxC5hMglZD7l78z6vTnOl/N7c36vK2bsOOXfl+L3p4XOlOCLqdw4FGMqF4P8OOJZ8cYgNwF8E8A3jvjTgD8CpUFDG7TNgYB1NGSfiDpD3ZFTB/rGDx9OnDg+fuLYqcEDgyGnWwOHTWPItI9YgaOB0JGu6NFIz/Fo74nuvqEe53BPcLA7MBAN9kcDByPOgbDd12X0OqjHkaMW32XsD9N9UaOz2/RHqO9gUDhgc1HqO2iDgzY6YMGoJg3YeMiRB0zxaBAM2vCQhY8EnX7L7rcCA11dg+HwUDQ6FI0ejkSGwuGhcPhIJHI4bA8Y8AgSzkDhLBBOYGUA4ShAhzAcIGRIM45Q86huHNfJUaoOEX4YK6NM4TYHlcRhKJ4FwjAUm7oYya523pSQluO++fNGi9kVjBEgMGxp/XZ5aP/XMOKY7A0TfgILadGf5L3jqv8M4M7CVl+AwigUmBi4EjKsciMKN6JwTHLYQ8baul5TILdh+i0ds61fi6Mqm0kjMnU0CoUJImd5qQGxDPfNPfHwg++9n/75L+f/+HuczuzY6fHc5rEHBy/+49c3fvDj8vvvTP3q1yu/+f3cu79pvPNe/N3ffOaNn372uZe/eP3qw9evfeHq9YevPfvI9SuPvfjCQ9eufuHalYeev/6Fa8984dozj1+7OvODHy386jfnv/2dC7/4TeO9d2ff/23xZ7+a/uWfz739mydeeXFkMeXp2CUMj557/Qezv/tT6q1f3f/7/7U0vTjK+yZkZVjlRg0pDuEtv2tLM91gB9zE+jdbAK62HAH8uMqPQmEEi2excBpywyo3ofBxRZhQ/DGVmwCbr2gCii5aMSRljCjMg0+pYkoWkhKfkoUmVD6mcmxgLsP7cpwvK3EJ2R9XhJjMTyh8DIpsEdMw4s5ibpwqLJacw3JGFZKSPwcltrHuZj5DR6vqIA/4rOJPSt4x7E86cjWIZwNoLkQXI9Z62J638GJQW4taG72B9W57JWysRMzVXnstat3fG7zcE7h8ILTWbV/uCazq6ILAbbdzzl9meo/Hc8cdd0AIWSI7XdduyfSXBZEx/Tn/DUy/QuHlqHMxYi31WMvd1kqPvcaKGzbWw+ZKkC5YcDFAFgNkuUtf7wkuhs1pC83YOBdESV06rXMTwJcSO7OKv6qKOSxWqMo2RJyySQEKGdFbUPkqVgpUTEJuQu4cVzoTUEizcL3oy0t8nvcXvd5Sp7fi9ZV9/pLPV/B585wvz/kKvL8ocEWBK/B+hqaXr/IJwMcBH4NNPmbqeHNCL5uAjYQJ0EQMisyKZxFg93jTlQc8mxnAAkrtiEG+GbNi3kzraR8A970MbtAyBpoFaAajkBSD4nibxmHYDGw2yym45WSYwELzlpZv5H5ge7zLDbi1e1Htl7XHw90zsdbb4zch1vai9ipi4x3thWzWf5sjdUPAlojsE9z2YmfaK80tJ/PMWraRa17wY5BjrcYkoa1NJSYP44ifAFxS4VyxqXh9VZ+/5ueqPr+LiteX53xZvzfFN5EW/WkgJIkUB1IcyhPInVMmx7CSxGoK4QmIzyJ8nBpDpt1vWQcss8+xDgUCQ6GuY6Hw4WDwkGMesvARHR3T1EENDxragKn1G/SASftMo8cyeizjAAlEVSOqWj0kGCVmAIEgESO2OD4Is6eMyoRdjdNajFQnSG1Cr02YjZhWHdPSR5WxHj7Rj9IDND1Ac0NmfECODarpo3RiyDh70Dze4/Q7ZoSQoKZ06ShikqilRS2t29T6LHLQ0o7o6ARVJnQ1pclxlRtXhFEMRzWa1OkERsMAnlXBKUU5qfCnAX+WiONQigEpBiQ3AjSMhLNYaLraSI5DOQ7lOJAYWD+6GayHutLrYks/dZtyAgjjKu/CvWwE+NnTRjQhRsScImRlPoE3B4/Y6N6maLmDSlhkq/vY2B9bf3Vzl79l4ZNIbJcxFwksJ5EcU4UJwDExHgV+NmI4gdFZ6KehzpmHLy/95r2F3/33zHfe3AXhbs8uT8eOO/fctbj+uWf/8YfTP/vlhV+9f/6d3y3+8sdzb/808+f3Lv/op59/8dXPXXnq8Zde/OLzLz129dpDTz396LVrj12//tAzz3z56tVHn3vu0eeee/qxJ6e//4PGr38x/8/f/My//mL6xz+dfvsX8+/9W/3dX2W+9sqzL72oW3in57a7PXtHlpZqf3qv8O+/yf3bn1e/8uCRLv6MhY5C3yiVMyra0rtdbBfV2Pb6tjZiMXymChJQcC3mccTHIB9Tubh6kya/MVbH7ML2t2dlPi36M7zPtdHTnDfFe3N8Z1roTEvegugr+TonfZ1lwZ+VfEWBy4lcWuETUHCVTAzySaIkkZiBYhY0n5lThEki1ww4E6CMvxoWrmpqjrmjgBvD/rglVh04bYO5gLYUte/vDi11mUtd+mrEZAPfK2FjOWys9FgsE+zFiHWxx1kOGxtRe5WA85xvu91w/yqmv/vuuyGElFJN09h6epfpVcHf6/cWNOgy/YKv85y3c0UUliXhnOBnqejXugw2/Z5Nx1vrMta6jNUAXTTgAhQXoDircPNIWrbJeQdPm+pcEOcDKEWEM8QXV31ZwZsTfRXen5V8OdU3iYQGhXWsFERfTuQmsVoxcN6Uk9A3IexLSt484POqmFOEtMJnVCGnCCVJqIhCVRAqPF8W+JLIF2ShqIhFRSyoTeQUIacIeVUsACmP5ByWM62J3ClNZv2QDbGz3ptCYgaKKXQDskjKYXavmMZCGgtpLGWInMZSGkspJLID9ydD+0n3X+x1qW3A5qRkiJghrJxqc2YZVFJQSUHZjTslgZQEUnMOv/tYrLSgJpHcPI95dlkKK625C83LkkhmyGD1lkhAqR3s1Skos0mIt/zGdmRRE7f4L1LSSNlSY5u48btcsIsTgE/CZhOwVmCtkyfNpYAusprClgxkm6sE5YIm54l0IxT236ym5InS3DtPU/JILkI5j+QMkQtAKkK5COUCkApAKiGFHZdUoQiEvCrmVbGginlVziIlhZUUgikCElpzlkOcqCkE0xilIU5ClEAoRvAoIacxPo7JUawNAeUEgicxOQrREFBOQHUcqSmspDHJUJrSSVxjiWvBCAWnNDBmoGEdD5tkvItmB+nUuLZc1S6f0x5Zp1e+EPz6Mz2vPd/7nRei334+8tr1yD89G/7GV7pffSj0zAb9/LTw+JL2yBx6aAZ8cVr6UhV8qQo+V4YPFNFqDJwbhrMnSPGANKopI0Qe1tQRDEcJGtdgjMA4UVMmTlOQo2pJUyaJXNZB2cRFinJQyWE1T5obQeaoyprGrdisprAzbMqb23BbRGU7Qdpy8d8A9sYUloqkudgkS9UyVstYLZioaLa2oWT7JevqpAGKJmCzbtk+0yW9uaCjYMAiVYpUKWgyQ4424QpVDosM7Gfz29u+mglqQVPzRMlqUlaTWC6lDFYzGKR0lDWUM8g/dez4/CNffvDZr83nFu776Cd2enbvuuP2nR7Pp7385x55rvqrX1Z+9uvCe7/7/I++v/qN1yd///vVN97+4otfe/jas49fu/7g1ecev/bcw08/++Wnn/3K1etffvbKl5+98vi15x69cu25J67Pv/GjhbffXnnhxc+99sbqz99Z+dN/lN77t7V3f/2lN99Mp7MfvfPDntv2fqJjp0LQuT//aepHb0z/6X89/PQjpxxvguKMpcY1IS74t6vtv0Y53NC4qBVUb92YIXKOqs2a2dSKYhoLKcTnoJBFQhYJ6aZmuwHpViVnoJgGQlrhSyJfFvgKz1f8XMXPlTlukueKAtfgvGX//orgrXPeqc79M97OKd5XFr0NzlsVfQWZy0A+hfgsEAuyUBJZMIDLqEIOSpNYnURKSZWKkr+uq9MWqutqCYqTQCypAssBxialNcfpdXnGQktd5me6AitBY8XRlk28ZKBVW7sUsTei9mrEWA+bl3sC62FzLWqthI1LEXuVALaTzd/I9B0dHR/72McIIZqmUUpNU3dz2d3M9Od93nN+73mfd1USVxXpvMitUHg5bK91GRcj1kbUvr878Jme4OWoczlsXwwayyZeQ3BREhudn25475sHwhyWpjVpgeVUBdwZ0JlS/SXRXxL9dc5fEH1ZqbOg+CoKV5X4ksiXoVI1acnUcpacxlxK6WQTHNKcNy36C0CKIymNlCKBFQQrqlpWlEmgTkKQg1IOShkoZqCYhM3h+QQUCqrIdHQOSlnUFMQkEl1uYIvLixQUiVokzR6YJ0oBKwWsFIk6idVJrJaoVMBSAUt5IhU0lW2qyoiE9dvmjUhmd7EDtuNSq1crGSIzZmIPb0ce83nsyrGURVIOqxms5jHMY5hDIIuULFJyWG2hyXDsFXkC8gTksJolMEtAS9tKTW1LALvevT3bGrLKQDkD5TSQXLAz7uq+LAHuLVmkuBTOKjyP5CJRJyksEvXmj5rEaptmVN1y5kmrtm+65WbCdpk4i5rtm8PNpxU0tULVClXLOmguqDWaSS+qFNV0XDNgVQdVHTQM1DBQjYKaodYMtWwoZR20o2bAqonYftoVA9YMWNZB0QRsk3x3y8+yidkeZzUKqjqYpHCSwoqGywTlsJqAUkYV0kBIQi4JfQngTSq+lMxlZTElC1mZzyu+ouovAW4SKSUECwjnNJjTUIZoCUjiGGc1UqXatKbVCK4blG2zOGmAkgULNsw4IKP5Jh2l6Ehpe9/0kc6HZ+Grj+jfeAr8w5P4n69p330Z/uBr4K1vwLf/Gb31DfSDV5RvPQm//oj09YfBPzwE3nqh71uP6//wJeXlB/3feCj81c85V5bhE/PqI1XpyxVyZa77iVp4NkqnurSKhcomrpqkYeEpEzd0tUZRVVPrOqzrao0qUyactlCNKlUdVHWlQsVJzE1irkKkClEmkZInEtsOpcwsA9xEhShlLJewVCBCUROLutQEkV0U8A0/2RkG90xJU0qacvMFW5qVCUbFgGUdNSiuaDBL1ZIOpwia1nDNoXUTMdmY0lFdAzUK6jrcTFOpw6qmVjW1RkGNgrKmVKjKJKpmwEobyjqYpOokVVnBSprS+gkYmMCzzlLWUYWq7EZmW7AcVJMaKZhiEUiTKjmnhU4fdEYjWk5HQ6b06bs+6tnh2bXH49ntsXsOX/jPP0z/8p3Cb377wJvfn3/pW/k//nn+zZ9/7pVvPnrtyuNPPf3w889/6dkrX77+HMta+8izVx9+5spj15575Nr1x558bu5ffnzhzbe+8NLXHnr9zfoP32r87J25X/+Pi2+/g9OpnXfd5tnp8ez2fOI2zwk7nHjjl/Pv/iH1h/93bu1iKkJLKi0joYS5uiG5n8Nwi8/E6iRWywQwtPf39lsmDcJ2EWW5cFjSmpKu5nWlbMKahWsGLGtKS/HKJbyph117PU8UdlwkMhO2SSQx3p2SxVlZmpdlhjlFnlakKUValMR5kZ+V+AWeW+z0LXb65jh/nfPO+Tun+M6y7M8Dfx7wk7JY5/iZTi7N+dOCLyvzRaLWbTpt0SpQcv79NarUdbWo+pO++9K++/KCtyj5JxU+pnjPQm/MFGoBNG/BeQufs8iqTuagvADFWck/LXiXiPpgd/DBA+GLEfNyT+CBA12XewIsqv9Ab+iijlliub+J6Ts6PB7Ppz/9aRa6p5Qyn54QJPKCu3NOloANjl9UhEW/b8a7b8HXuSKLa6p8QRZWsLpua8smXjPwukku6vh+W/9cNHg5bK8E6WrEvD8SXA0YixaZ09RFAy+owjnBf87bWcJSQeYSwJ8TfSwBwHkNz9m0huQc31kUfGVVKMhcRYONoFEwUcZSU5aSMKQYFSYwl0BcBoo5KGWwmt7CeVDJAjkLxAwUM1Bu/YuxqTRJcZHAAgZNQkUyA9PRkxRWKXLB1FlVUytEqRDF7eE1CmrsvxRVKaoYuGLgst409ss6qlJU0WBVg1UNVjRYpYgxkIuypjSBZaZNahS4WoMl1KqbqG42N48rm1pJxwUNpilIEzWF1TRSs1DNo2b/mdJAXUNVithuIUWDlHQ8SXGN4CpGdYTqCNQRqGJQxUoZyxUNVympU62ukSpGZQhKQC0Btb1OGFhXrGiYodlXNYV9CKsfF6xybqyoLWC1CqsaZMe3RFWDFQLKeLNCXLS4HDH7KY/kSayySq5SVNfhNlC3wa2vb+hqQ1enDNAwQMMANUOt6kpVV+o6dtEwSMMgzWNTqxukbpCajt3yVzY1msRMtzwSXZuPGVvN+AGUmvEARk4mLFKlgKUKVes6bLhi2awEpQUpB9SKhucC+qxDK1StOnDugHV+yLl0qmftiH35hHP/afJ43nxhSf+XJ6w3r6PXr4Z/+Ar8wSvKm6+S77/Kv/GK8PUnxW8+DV97Fn/rCvnGk+oLX+CeXtn/7HlwZSb6cCJUo9yUpUw7sBZAzZRLjlIzpQaFUzqastQpS22YSo2CKkUVDbs854IxHGNQ9i0NCus6bBiobrpftJ20bMV27TVl4ikTM5JmZ9zr2cktqBukSlGZgBJSSkiZJHKFqjUDstK22wTN5IdUYUq8rquNllQ0DLCdXE2Z8JbYciN7bMtCAlUdVCkq65so2XTS0UoOKNhiTucKllLq0tMOPYH4ezo8nj233bVzj+f23ZGRxLnXXl/9xf9e/6dvn//q9+rvvL/+9jsbX/3GZ1+6fu2pK1969tlHrzz7yDNPf/nZK49eufrIlSuPXrv26LUrDz/79GNXnq1+742Vt9797HMvb3zn6+U331z8+R8u/OuvBiYmPbd5PDs8Ho/nQzt2jAl4PWwsjB+/tD79mbm56eP9BUuZ1GhJU6q2WDE0pqyYMXRDP2prkXbUjK1gn9/sQTpudedmX2MWOUPF3AQ74/aICpVbUF2hquqgYkCWW7a9zl3UdZDXB28AACAASURBVLVhwZqhVqhcwXwdilWVL8hcSvblFDkL1TRSM1DOApk5h2zsgC3eyeug4ehzAb2OlZLon5S4Au+dlLiyzFcUoQLEnOjLyf4U4oeRL0a5ugnmNHUaiAtAXkNwVvLPydx5LK9YZMnC5024EqSXD4Tu7w1e7DI/Ew1shMyNkPmZsL2K1UW/74LoXxX4c37/ktd7jutcFHzropyBIuR4VRR43i9Jgk4JS2VnO12t9fQdHR6Ph+Wy03Xd3Q33ZqZf5/jzirDo97lZay8IHEthdx7Lc1CcV/gFiVsQ/UtAumzRz4Tty1Hn/t7g/b1dF7uDa92B5bB1sTu4bJMLWFlUhJLoL/k605K3KPiqEp+T/QsUN1qZgIsKPwnEEhTLOqoG9aKFszZIm0rCkNguZix+m8MyY/qm34mUHFbzSM0jtYCVHJZdx7dIQVln2yeRso6YHc0OGJh4uWjT5pvagakSV4kwGWKplN2NmcomZkxfZeq+xfSu4e/KdJO0iFKjgJ10mb6sgyks15BYhUINyTWi1jVQI7CCmOWLigQWCSxpaJLiso4qxmbnYWZH3SANU5u2aMmmRUsr6M1949nmenkLuLvNFHRcNEjJZHlsdWZYtIPlp2notE619jpp17BbMG2RW55vV8c3gbSjrmNG+UyDuHrERcWAzGFiNsfmv7Ylhv8zpq9TpU6VRusyV8tsKaeLLZKzabKYhMkGS6TWyqSH2S5pbjIhJooVDZY0haVIL5uQ+ZGsfrZj+rlgYDaoN0ylqqkVjRQ0dTLgmxnonD60v9HrrUf5isVVjM6y+bGH0sKPHh/6zkPB1x+H339af/2J4OtX6Hevwdeexa+/aHz/RfrW14I/eDH4za/Qf3wo8Oql6OdjpGR+ctZUZiww7Wh1mzZTNZqoqisNiqd0NG2haRtM22DKhA0LN0ytYWEX7W3XDAYYaEpHU3qrN7Vds41U/LVol6vtrb02ptFxRYNlAiaZ26cpbl9uLzPDlE2mLcQwY+N2bMfo7vXbYQv3s8jBZl1ZzT3j5g0yZeJJqlZ1MKfjGShNA36GSvPhrvD+ez/SsWfHro5dO3Z6duz1YP7Utae++NV/fOxffjLzi18u/+TtlX/46upzTz/xxFNfvn79sevXH7ly5aErVx+5dv2hK1cfunL14atXH7569eqjz1Re++6Fd37/2W9886HXvv7Qj9++/3s/vr2/5y7P3R+6reNDO3Z9fMeObklo9PXmdN9YRD9tqmk7MElxg4gLhrVg07mAOmvpm+3e1iJb+vsN3H9jDbvYwv1tfVlpE3ulqitlQykbSr2th7b/q+mHtDRtWW+muWvaVZrM4JJ9w4J1E1R1paZLU5rSIHIZy3kkFoCaxzCnwTwBeaTmsJxEIpsexNJk5HRQCdC6TcpYzom+Au/N8Z1lVagguUbUKlYKMleQuaLkT8jeFPBWFG5a5KaBeF5H6yZd1uGyDtccen/EuRx11kPGaki/GLHWbW2JqKs6uoCVRaKsU7SsSsuc/4LoX+G5LUyfBsLNTK/rpmUHNpm+o6Nj3759bNscwzBMU29nepn39fq9LtOf55pMv8j7F3jfHO9dVMUlChYpWETygirMi/5Z3jsv+peIeiloXA7bKxF7udtZ6Q0uRqy1vtCFkHHOADNQqHC+yv79Gb6zxHmrEp9V/LMGroS0hqOx+EyznWytwrZTZlstUnmCiBNYiCMp1aL2LFJYwLnNg1cL2maEmTF9xdgUJpd0mfFY07ejH9QwAOu3rGNPW6jRFJfNyB4jofbYnSumbc7oVkl1jdB2s5SJ76Qu500xQ7kU8aU1Pm/KRVvNWyBrKDWi1kgzWlAmoKQpRaoUdaliqlULMI3JlOmUiWdsbcakUzqZIqhBVIYaUWuaXG9Ftku6WtLVMjOodbhF2bmYtui0RactMm2RGVtjVeHWzKxD3Ppp/3kraDO2xp6znRFwo+2v3hKszpt+QLs10Gan39LHanfIPgBTLTABaFhwykZTNmqrgRvgqqctn1AzYN0EDQsy1E1QN5uyV24poJIO2UBPHsklDbD8RhULlXXQ5rVsWoptlaBUMG6YSkXz1yiYs7sajrlwUPxCWnn+Mvrq5ciXC4HpsDTrGPOOudqnPzQceq5BvnWZfv0i/cZnur/1SPCVz3E/fNn6/kvqd59RvvUkfPUL6hPnuGcWyDMzkUuntIVeMGeiKQPUdVw3aEWnVUoqGq5RxAy+aQvNOHDGgW7LbuvCmk1HlgVLmGdcN8Hmt/yVFti2Pv0tXnqzz73pyd3gULLKBA3rFgx9swx/oHj/jbjxddpMgDbhgFkbL5j6OWrOUX3KALWgXO+WF7C+2hfO7FM/fvfuPbt3dnhu3+Px3NWxW6HmaGUm/8pL1/7z3x/98ffXX3z6ynPPP/nyy0+//PITz7/4+AsvPvHSq1958ZXHnn/hKy++9OTLLz967dqF93998b//68Lzz+Wm6qlUmfu0vLNjR8euvZ7dnr/bu2ccoCnDmNNxw+LrYatuk1nbXnSMBV1tIFDFyiT2V7VN2d7Sj7azsN06b+8dDWuro9/mVt3oiLfEZqo9QOKOxLVws2VwS5qv62rdBBVTLRtKTZeYlV+hapEqJQRLOp40SEnHRdJk+jHIjWlizFCShpo2AdsqsaQpBSgUBV9B9FU1tWbhhqM1DFRU+JLor/q8BdFXlLw1f+cM51vQwHLYWg/b6yFjNUBXA3Q9ZGyErY2wdbHLvNhlnleEOd57TuIWRP+86L+giksiv+L3Lwn+FZ5b8Pk2mV6QMuoNTE817DL9fffd19HR4eno6NixY8f+/fsdx2lneoyhy/Q9NzL9rG//POdd4H3nBP8FVVw3yaUu61LEZgPz67Z2HssNoXMWCGsO3Qhbq1FnrTuw2hs8HzZXeoOLYfOco83ooAakCu9PS14W68jIvmkDV7tovUufCulVG1dNlofKZFui5g2YpkoMNxd8x6DI5oW5TO+69Tcjh9k4EHP+1AqVy5pU1VsRM4qqdNPEnjbhtAnbFT3T9W4Pd1WJa7m3K6w2bX6DmbkdXHFnMspCUpO6zOyJKpFqmswipUzo21Vn3QRNT9ECFVNlemrGQkz0K6ZatlRGPNMGnjHJjIVmLDRtwrquLuhwloJpqk4ZYNqEcyaaN9CCvumRtOugKRO26LlJ5LMOmbbQlKW2U7urrf4aVXhLF6ddO9ySgF1N4dazqyluyeJus2733u3QrKs2a2bawTMBwr59C9gGz+3fwopao244UazqEgM7s2nb6WCSuoMmapGoLPhU1sGkLpcNpWbIVV1qc5Vu8BqnTG3GgTOWOmvjWduqULXq+FaGhEvjwucTxvpxbSaoLoTMGQtUtPumnU9dPu5fP3H3A2N/f+HIp+6f2H/lHHl5w/jnh6xvPWw8t6pcWcRXFwIvXhh4pnLwXJ9aNfgZCzR0taqpVYpqulalpKaRhkFqtFmYdrJnUtHusLrYjuk3G3Fr293a8t6O6bdrx+3k56/0vD+A9bezA/7/RSOq1Qz1nE7O2+ZUyC73BuMhfAx5D0cDRx2+2Bs87IBP3313h+euu+6407Nrx06PZ8eevfeGAr257Nl6uXrxwtzc3NzK8uzi4tyFC7Pnl6YXl2aXVmaXVmaXl+ZWlh+8sHIwU4gkS9gJe/bu9uzZ7dmz07Pbc9+OnYb/74d1PNMfrgfxrKnMBcGcDhuW2jDA+S46G0BVC1SDuOzAqZC+fTveGjda7Zs/mUrcNAK29PptLPJ2lchUKNOKt/AQbrI53PK0jAOJ0T9j+jJBFUOrWHTSIIzpE1AYhdwoEWKGkjJBzoTlAG0Ead0mNQvXkFzGcs0h9S693qXXLFxU+LLgL3fuzwvekuybFrlzsrhokeVuZz0aWAkbbOL95Z7A/d2BtaC+gOWa0Dkv+hdE/zKUVwlYIuoFrCwp4hLPLQn+Zc4/7/V+ENMTzaA6pYZpOZ/61KeaTN/R0dHO9O1z79uZfo3nF9SmT7/A+xjTLyNlI6Bfjjps4sDFHodNF1y00GpIv3wgdP/BrvVoYC3irEWcCyFjrTtwIWScc7RZAxZNUERiHHFZyTep8Gnm0wdILUQbYaMSIDWHzEas6S6L7S9YMElGh3GisIUTE0hKIiUL26eGNdE+oYzNUWdM3xy5MVTXk24OLJmobqJZG8/aeKal4mfadL3bpZlab3dn238yz6+p6G/ke+Z+bQPQ7u2xW6q6wlI11Ay4OVKl4ypFZUMqG1LFlOum0rDUaRuwgrXT85SNqg6sBFA5CJgnOmPjOYcsBOlCkMyHyFwQTzuwEYCNEKqHcT1CGhFS60LVEJyx0KyN5xwyH9DmA9qcQ+YcMnsjQc7YeMaB0zaYslS3WtrZ/S8y/c3asz0q8Nfo0Juf4DbKLZ9wS4b+ALivaKeEmVbQ4uYCtNcAu6vlZMiMqhnBV3WJnambSs2QW2qOjUS0JvQZuBUWUmqG2rDUKRts91EzNmajDHMOmgui2QCcdnDD1HKKVMZqw0BzAX3G1msGrJvKuSjKIuf8AH04031p2Fw63vl4CT4/Z33rgcj1Wefi6f3LR/0rR9SVI2jxIKzovoouzDmwYSo1XaqbzbkjDQNNW4SFZ5ulsgHDjI1nA+hmzDhw2mkVm/UsVlHOJv5K5vsrafiDr9/Spu1d+C8+/P+GQ7/dY2dtPG3RhgVnushMAFUMWLCMheGx6198ZPGJa09+8cHcicEpguy7PrLLs/d2zw6PZxdLSuvZs9vTsWPPnts/fu8n7rn7wx/56D0f/ciHPnHPx++5556PfORjH//4vffee+8999zzsY995K6P3e7Zs9PTcdttnl07O3Z5duzas2fP3Ts74L17K71dG7Yxh6UFHa6ZxoytndOVqS5Uc6T5Lm0qSKqOWg3isg5qhsr0TLu9+8G92L1+ykZM+7UzPdOKNz9tq9JoiVOzWVtPq9mwPU7gYruhlikTTtmo7qCqA2u2ymwLtvKiSknVpBWLTlJYwEoWSXHU3JgkQWWWh7fm0OmgPhvU57vMGZPUTVQL0UoXrYS0qokY0+f4zoTYmYX+WaKcI2DBxIthcz0aWOrSV6MW2zz+ck9gPWQsaEpD8l3Q1FUdXQ4Yn40GLkXstaC+ZuAlIC1J3DLnn/V5L/i8C7x3k+l5f4vppRbTU9NyPvGJT2wy/b59+9qZ3p177zJ9RgOrHLegCgu8b9a3f4H3zXPeBdG/psHLIXMjbG1E7dWotdzKxnOxN3DpQOjiwdBKj70eNldD+krQWHLoejSw6NA5E01TNeGoSSKMEi6jcpNAzKncnI6rdpPsWd6ImbA53WWxHOcFE2V0dYLIbEsWFr1nS3raffd2pk8CKaGKSSBlkVIkalVnVIrckG/7OByjtCaxbaP0t3hs7W59uwg2nYkbJeyWktf8b0tAXVms680ZbdMUThM0hSFDA8OaLtV0qWEqU5YyY4FZGzIbhfHxTMv1nA7h2bA2F6HnA2TBRnOGOk+VdixRleGCARZNcN4Ec5Y6bSqs57AHsmc2u9Mte6wDP7g//5U67m+BjWdvvPevf+ZcQHPxF/n+llbFFm7YoqldpTNlo4al1s3NuUJVXWE0X9Wlqq7UqMJkic3SKLfi83UTuaGLKRvMBNB2JTwf0ecC+nzQWujSZoPyXBDMOXYNdy0G7MWgvhCCc0FQN8FCtGs2HCoQ9JnRyHe/dPqHj4+89tnRjbNqNfCpCz1oPiSe6+HLxqcbtlC3xEnN17Cl2SA+FzFnA3DaVqcspWGp7FvqpsJiObc0etrr9obqDTaPb+hiQW0mQBj+RjG4VevfUhI+4L/tX/EBFsb/DYL/gFKxilrUzWkHTzrynCWv2noSomQ69fIf32n89s//+Ot3xuvZnI7ke+/w3HPHTo/n7OFj/UMHb79t920dHXfv2HObx7Pbs3Pvrtt37Ny90+PZtbOZn36Hp2OHp4Mtsfbs8Xj2eG7bvec2j+cOz+69u+7Y2bHL4/F07/toJWjOUe5MVBk8Gj3YGx4a6JuMoEYITQekWRtP6WTaBvMBbcGyLth4ykauxXZzu9yivQJkJkDYLVvI3qV55qJs152309VMB7I+2G5KfoA1yXy2aQc3ArjuAKbhawacNADLhlo2cUkDJaTksJzAItt2iWXoLumwZmnTjjYToPNd5kyAsmzmk0EyGcBlHRQVvirxecCPq964xjUsOG/hGRsvhs37u0MXQpStp1+NmGzHOYbVkO6msr3UF1zvtjdC5gWsLEncBc4/4/Mu+n0Lou/cNkxv6gabe/+Rj3zkhnF6x3FYLrtb+vSM6eeBcE7wz3j3MZ/+vMxfMrUHIs5G1N7c4oetqu9xlrut8130fBfd6A0sd+lLIboSNC71dl0IGXMOmbFQwlFTRBglXE7lKkDMA35Ox2xso26TsgkrFmoEaSNosISzBRMldYXtez8KhRgUM1DOq3IeqTl4Q6DeXZGZRmoaqWmk5AkoaWxyE2AzcSoarBmwRfNo2sGb3PaBut4NEbsDPFNm0w9mjNg8uNFo3UL87QTfFMf2KLGFpgwwScRJJFQAX1O4quyvyv6y7C/L/nkknSPK4v/H3ns9SXZf+Z3ZvgGQ6K7MvDZ9XpfXe5dZphsgRQ6lmQkA7dG+y6e9Pn1VNwwxdAAJD8ISMxzOjKSQtNrYUawe9KbV6EGhCO2+bOz/sH/CPvyysquruwmARgQ3GHGiA8iqyrqV93d/n98553vOMfiBJfYdKbZnjI+sPc/blnxbjk25rwsDhQvVmidRXb7aZkpNqjC3bbrQpAodqtilS12+2lGols22GsLjcOg9GNIAlxo4yvwzORAh/8Lt7GGP/MtvpnPSP3zLHgf7R+7+vwFI9r/yyEzHzPY2l47J7e1is5Rw2+DbBtuyZvl78INzKUBL3ztBAtt7t8f9LR2D9SzJt9UeSKZYfOBocb3e1dSWzLU0JnDFtlkLGlK3XmvalcGz7N3n8R/dIO+9wPZWSl6dbuu1bbnSs0AiRvMsJXTVZNHwbXVL4maulS10LR7AHvC+a/G9WXp+797tc9Yfcbv39tn5A+L9Rj79b0/Q+fJ+8BarwB73s4/z+H9X19azFWAH16epdF3Zc8RY54e6ek0RX7x18YP/+o+t//yf3voP//bPb124vmTw3zyWOpQ6kkrd6Qef/vKXqUOpSi53dmlxYSED47mj3/zGAoJ8c+H0AgQ/nc58cyF7Oos8tbDw1MJCFkdPHDv+5BMnZFW4cv3a//a//uOff/cvDh8+evzJpyz4qeDZs0ONbJ377nu//LvP//f//NY//C8/vPz8bYX1XM43tUA3wOYT6Hqg349NPu4zObCA92+Pcz/n4e3x/g/uHQq/zNkOIKa3l3TrOFLHmS2zx23v/t53tm1+tqeZoMJWahryti5tqsKWzK8p3HWZOS8SlyVqPhy5aSltS+7YilfX246yaYnbjgwKdJsav8FR2yy1IdCXxeqLBrXlil1X7rryYMl8daUxcJVRQwMAnbfJGzW0nRXr5bMuqKefLJs7K9a9JWsoc4Ma2Ser3UopISohU4noyvQ+6QlAek3RDc0EpH/qqaceTfp5nv6RpI/oql8pJjQRU9U+S71saa8sO6Czz2vfXnrt20svn3Wny+Z0xRo2tGFDu/dsfedZt+8qkSUmlrK74vZdDXy+q454R6KvSMRtprLNUqssEepyx1WDut6zFSBXblty19G7jt6xtTVLuqFzlxQa9Gm/JtVui+wazwLS79feg5rvVVVc0+R1XdkwlC1D2dalli60Na6lKduK1FTFti4DzAPWHgjUP7wB7V8cPXOmLAX578BSQ1sLLNU3lf2+9f53OHC6BJ635zxwkpi75j1DGFfKo0JhiGKjLDKG0DGEjiF4AEFeDg/LxaRGDKRa3+AjU+gZQkcXfVPpmXLXkj1LCk0pEbk+SSaFwhDPDTB8iGJDGB0h2NwmWG4Hxncz6O4CMs2i43xhRBNjsfa4XWy/lw8g5FtS5KrennChawjzDfTX7oCPVuTNf+MXPskzM2TfVOa2Txz32J36K+3OD3/bgSvs7ekhOjrfezCPs0dHcJdFz5E9R51v5V1L7Fp82xZbljBPrPT2wuCzrJAlRZY8X0ueI9+PhO+7mJ4p+q4SLaodk2vpgu9YnqW1dSparIEL6Jpq1Kj3TDewGh1N7RpC33i2q5U9h2zpQsvUuqYRua7viC2ZS+p2YJldTQYr2bM037K2daFjK76rAd/Lc0TPEXu20LW5ni3Mgzrzo8njSbb3379d9P4L79pXIvHet8mepXwh6X+3aD9ojjpfJA/cX0dsaYxnSR1TajtayzWbjjn959/zwmby/L/wzKW1RUtOf+PQsaNPplJeNH3vo09Thw7zPPs3//offvrZxz/57JN3/uGX7/zi4/d+8fl7n//NO599/t7nf/PzX/7qzY8/feezz3/17//9Uv3bVaz42muv9naGwc5k8czZw4ePHj/6xD97+lRncWlbLd5cPZ/8439s/bf/M/4f/yPp3byu8v5ZzXesnu54jrht8W3b7Lj3Q+6P2Doe5Tncl7ge3BiVriXPDTzUvq3OYz/zPdPbFzy7f7v3LDD2dDaW+OtJP4tFGaJngTPB3vnVVjq2AkqZtvVZ1d+GJlyXmXMScUmhr2ksGG+zZSug132voTddZdMSm67SsuWWKbU1YYOjtjhqnam+yFdeNKgNV2i7UqcuJ4vGS4vO2FUHrjKsq5MlY7JszuysvXvGfvmsO6lrY1cdL+q7Z+xXV9yJzPdZMqaq7WopIitBrRoz1ceRXtd1y7FPnjx5v8quXC6DKjvDMIBPL4o8S5EUQ3JM9QxRuinXpiQZ1KoRWfEq1ahMJASR1MiRJe+csUeL+qSuvfps4wffWXn5rAsCEZNFa3fF3V1xJ8t25Kqho4wWzbvLztjVfUvqWuK6JVyXqXNKdZWptmjyOlPuGlK7oXVcFYwl3jbFbVPcdtRtV9ty1DVLumnwYP4BIP2NWYEje0fibgg10C5tVWa3NLFpPFCUOW+Zsq1ym6qwqXLrKrup89um2LZnLvXj7Asf0QNL52GizzeyriV2Lbllyx1H8i2hr/ITiY2V2lBmBzrfXBT6phC44kjh7xJkH0f7GDJA4CE8sxGCjFHUy2NBDgtyWDuPtkpYu5oPmUqfJUOFGVjisKENbbnP0XExH6NwgsIJlO3DUB+GBgg8RJE+NrMJjIxRdIShfQyJEChG4QRDhjmsS5dDg/ddqW2LniX5ltQxpY6rBgYfGLyvcz2Lb7tSqy53G0qvrhzQNHgPRkQf+XE9vCP/Boq5r3q/vm7v8/u2WbDK4oFcrmfxnin2dCly5dn/OrLvKh1HallCyxKA2zTznGzBt4TIFPqmGFmiZ/JdvdY1mZ4D8ghqz1QDXQ10NTSVwBB9nfN1rmdwD2tc5kJLsPPON9+5G7e3q0ogUQoupmnvi3jte5Ouzv++18kfyoa6GIJbpivbtrFlK1u20LL1yKE6Ddtz1LghBpbZ06Wtem29od1qOOuG2NKY21qttvDUyaNHUqmj3e1eEMaHjxyrCeLf/5t/81c/++kbH374w59/8PonH//ks09+8tknP/7kkzc+/fTHP//wnc8+/8E77/ziX//L+qJ75NDhJ46ePHL4ROrQ0dTho8eOnzyWOvrdYmnQWG5y0tp3/mz3rTdf/rf/8kd/84nfvHPN5O/qeldhgQ601xA3uZK/rKzWSd9gJprgy3S0pLQNNnT1lqm1LKFtiwC0+zM1TZtr27NF6Ntqz1Z6ltZ19LYrtV2p69533+cxS28vvuU5sm9JgcGHBt8xhdBREkvxTL5t8+1FyWvIni3sTx55j/LcHn6u5xvU/j2qo8+aGoGc2rYu3RDpSwJxUaauaexNg79jCBuW3GoY7UVz29XajtbcG07fsbW2Jmyy5DZL3aErL8iVKxq9rQstS/AsaVQ3xmecwZLpW1LkyuMz5nTFmi6bd5edacOcnjF3z1ivPlvfPWPdfdaZLht3l4y7ltKlS32y6heLw3I5qlVDpjIh6ds1kicqLFXdI71q6oau64ZlnjhxYpan/zWkJ2oz0t/aI31MVb1yKSyX+9XKkGemrrZ71pksm7tL9qvP1n/wneWXz7qzhrjL5u4Ze2fFmq44gPTjJWs/6ddMfk76NkPdqFW6htR0lTnpm5a0bYpbtrJpKxuWvGqKN3RuTvp5nh4E7QHpb4j0msLtP4KBWvb9pN/aa1a1qfNNQ2yZs4Pe7/1hniWllI6teI4cGHwsMn2GCMr5XikX8mRvURppfIevemRxUCrGOTTBkD6GDNEHbAphOxC2A2FTBB9hOPDXpwge8mSispHC9phKL48H2OzHAeMB5veTfgjD4PUEhWMUjlEYvN4qoJ5AdU0O5JP6hhoZSuTo7YbSqe87x5hiqIuxKvj7tt35H/vbkP5rbl9zYMyta8lda08VD8wUPUMOTaFncF2dnTvWAKihLgaG2DPFliVsW/ymxW86wqYjBIYYWWLoiJ4rtB2uZXEtS5jJjE2pYwozWagtBI4Suqr/0JXMP6gDSdbQlEJzFsyfSz7nata52MrfWzb7E0mPfP8/attoaB1DCXVxaquRWks0wjNK204ltKmea3UcqefwPUMPDNm32a6htBp2SxcCW9yyJQvLnEilUqnDp7NItUoePXaCYrmP//qvX3/v3bc+/fhHH3zwk48/+tGHP//hzz948/PPX//o459+8ukP33kPkF4ytNSh1NHDR44fP37iiZOpVOpoKvX0kUN/aRDds1pHY5qGHPyLP+/8xXPhd/8scp3OM+ZQl31LihbNLY3fdsTEUTcNtrOsdExhUDd7utS1xJZeCxzlQIxk/73r7qmJPUsCjntgqaFtHNC+3Le5B+/K3YbUcYSWxbUN1hfpRKoNhVok0J5a82zBd0TfEg4A+0AM9WF7mPSz6zSkyJrivAAAIABJREFUpsY397TbTUO+KTFXJOq8SLyoMHPSN+t6s65vOWrLVrcdtVXX244GSL9RI7Zq5CpTfUGuvKgzTUMEB+txw5ycdQHp47oyOWvPSb+zaAHSf/9bDUD6yZJ+d8m4Z6s9qpQQlaBUGlerMVMN6PKc9BxNUBQBSG8Z5pclPUPRBENzNHGmWr4lcTsEHTFEnyTDcjEqFWOiNJW5l5ete8+4k2VzumS/8oz7V/9s6eWzzu4Za/fMjPTTZXO64sR1LXLV8ZJ1b8Wdk37V4K5J5DmlulYj2gx1k612DWnbkdvODPagpHjTktcMcVUXbuv8dY19UWEeSfpbQu2GSK/K7KY+ayr3QKu7B/vVtOZ9Uve6K3T2+Qq/JwNeS9eQZqk4jfWZqlfE/XSmh8I+U+k5/Jghm3mkiWZ7KDyE4QmMTGBkumcTCB5noQSFZ/DG0T6OBigUQpkokw6pcp+n+izpl3IBivRRbICjEQLtPyWMMHSEoYO9aEEfhmIESlC4jyEDHB2iSB+GdtLIPZIcKXxg8L4t92xl0xI3HKlrSJ4hB4bsWcreeUUNHi90etzn8EjS98wHFGd/8G3319jDsu2v+zXfr3eXPEsKTSEw+MC4nyoKbDlwlLk2qjWXqZqqZ2mBIQe2HNZlvy52XH5Gelts1eW2K7RtvmsBE9u22LYOChruf277tdmG4OtCoAmRJgDeA+Tvz6CFphQY4qze1RB6ewKrP5Z18lXNd7jY4XsWv+rwTUuKLXtqnrnnPuNpbKirvqt0HKFr6r4tJ7YY6qpnqKGjeCbXcaQruoQfP3by5MnUsSNHjx5PpQ7THP+3/+pfvf7+e6///P03Pvzg9Y8++uEH737/7bd/8uGHP/3w45999Mmbn3zys48/fvfzzy/eufXk6acPHUodS6WeOpJ6KpWqfPP4UjW3zZOxww+X+J7JbKrchqHc0rjtRbFpcz5QjFpqq2G06vpOw+nZiu8YG5rQXXS8ut0xlK4l+o4Ymfx+pfNc4Qs8cs/ke3tFJZ4phqYSGQpwC0HVz2xJgMSQLfVM0TP50OBjmQUl3/1yKaoW+8VCv5DvF4shUfY40lM4cGZ9+ET+a9bM447vPVMGvJiT/pZcuyJR54TqnPRrhrhhyZu2sm5KTUvZshVA+q6jA9JvMsQqUz2nVAHp27a4n/SBLScNdfqMA0h/b8W+u+xMz5h3z9qvfXvx7ll79xl7vKjdWzZfqRshU0mISlCtjEkiZqohVR4T1E32AdLrqvYVSE/TdLVGczRxtlq+I3F3q3RcI/skGVWLYaUQkeV7pvzaM3UwaWfYMF5+xnrt24v3VqzpsrGzYk6W9J0Vc7ps7JxxAekny/a9FXdSNw749HfoSpuhbnHEAdKDAP66Id7R+FsKe0vjAOnBfNIXBfqGUFsVuVl3d5FdldkNTdg2Zz3dZq68Jh1oxbC/ARNw8QHsH/sEPmpxPM6H6O0p8h62ng3y2WLPlANbjjQOkD7Mwkml3JfZlkINMNxH4BCGw71wPTCA/AmMjBCkj0EgpD9CkD6GxAjUh6ExBCfV0pCqjojKMJ8fo/gOio0wNEbh/YwHNnfukz0/fv76AIFjGBmyVGwJniOGrhpZMmjCE2hKqKuRofmm0rGVpquAINtXzbM+kvTeQ0mQP/jO+5V2hK/hBT/8Mc6d6QPb7uz6Z2FVNbDU0FRiUx+YxtAwAsfwLKVngkQAH9hCaAqBziW2GFtC3xQGlhjbUuAoXUdt750YDqyH3kPaF7CJB4YIFBv3mxE5KhgFtt8ne/iv+Jovkt/AOursLmw5zGSF27CYVZnpaUTT0mKBTVwpcDTPNFqO6NfFrqN6ChfXlY7Fdl25u+g4MHQilUodSR07cvTw4cMML3z293/3zqef/OzDn//w3bff/5vP3/vFZ29/8ul7v/gcdMP94bvv/uSDD979/PNWPz721FOHUins6Sd5eMHB0xfV2pqrDCQ9MOT2ori9Im26cnBmsekYrYbRNbnAUTxLaWtCx1U7upgoQmJLoS43DXG7rvRcw7M039V8R/R0en9B0wN/ssn3LL7jCF1X7Lqi74ihKcW6uGkwW2btgSpik/ctoeMIXYvvGVyosjFPJWS5X8gPMDxB4X42O8zAQxiN8ZxXLfZExrekmax1fw8M6/E1RHsn+AONUjxLAk2xmnsVW9u6BHz6/aS/o/F3NH5VF1Z1YU76jqt3Hb2ji3PSz336/aTvLxqBLfcXjQdJbz1M+pdWrNeW7CFPJ0TFr1YGRDWiKzFTnZD0LY4CpJ9H738HpA+qRZ8qeXT5bkP/4XeWXzrjjBb1uK698qz9/W817i6bkyV9umwA0u+s3PfpD5Ae5OlfkCu3qXKLJm9xRM+Um66yn/RNS1rThdsqd4D0FwViTvo1aTbrBTj0gPSgqXVLu99rc143P2/VPuuJvefB/AY76aNff4x5jtwzxZ4uBZYauWpiS32ZjZlqWC73xdrIkpsyNYTRIQzvYvgYRRMMSTAkwmcW59A4hyZ5bIDDIwyeovAIQYYokqDwCEOnOD4sFZN8LsGwIQxPIHgCwUMUGeSwA8H/uQE/fj/jQYS/lUM8kezZQtsVQlft22pflwaW4tm6b+uRpYam4hlyzxSBW/Ybf25f/wD4H7U9cn3u15EcKFZODCk25cRSYqAttVXP1nuuEdT1wNECW45MIdG5vsj0WbJPVQaVwszo8kCgE40PHMWr6w//0rnTNo+jzhWpB3Ko+1O5LUds2zMZzSx0P9cn/v/RxoazbetN3fJsM5b55//8z/75+esXnvuL2899z1NrgcP5ptE3zKbJdi2+6SoR0HW6QtsW27p8S5V1DD114tjR1KFjx47xsvTup5/84K033/zow0/+7ld3f/BX91577eUf/ODVH/3otZ++8bMPP/rZhx/96L33PvrV32/6waETJ548dtgiSldc446ldJeMliUMF1c6mrop0/6i0rOlwFITVR2pmq9LmyLTM4TIkrsyHZmCZ3KJK3V1NmrIbZ3qmpxnKT1TDRzFs/nHKZE7zqyfR7cheQ05dKTQ4EK1tiPUdjhmSpOTamVSKE6w3BhCxxlkDKFDGB3C6ABB+zCSZKA4nU4ymRGCjCF4AsETGOujWFgsBAId15WHjrD3z7WPtIdJv/elR5P+vEhckekbOndL48BUxlVdWDellq3OSd9zja4hAdLP8/QHoveA9ElDnz5TnyyboIvOAdLvnLVGDfXlM/YPz9R3NCGkKm2iHBLlkCoPaiSospvn6WmaVmXlK+TpaZomGJqniWcr5VWRu0cwcY0cUFSHKrVrlRZb3l0yfvxnZ149W99ZsfqLxivPuID0wKcH0fvdM/bjSL9hi9dl6nmpfJMoNiniNk96ljLP0wObk/6Oxt8xhBs6B6L3c9LfEdhVkQPCe+DTg272LU3aXzE/b3+710lNBO2XgScB1J6/94d5j/S+qQSOErlybImJynoKF2hCYksdgx3l8iGcHUDQFIZArH6UhQYQNIAg4MRPYCTGsgMcHqPoAIEjBApxLMKxGEUTBA2zUAhlRggyRdAJBA8gKJln5R8iPeD6CENHCDKE4T4MDVFkmMOCaqmv8oEtdgzW19hQZDyO9CQ6YOmQpROWiQU20gTfEkJHCp0HTzNfxQ449H/wrfZL2gFv8ut7XrEfdQiz7xcF3L9sW+gZ3By986gpsFDlB4Y4MaSJwg0ZIinkgcxzsHC6f/pUfPrpOJuJcnjEEIEmhK7uW4JvCYEtBvasZw4wEK0Fnhzw0kJTCE0hNuXYlCNDAkKBuc1kg7YQ2GLoSIEteibfM7iv6af9W9tA5zcbdMuUhrbcp3N/9c6PP/mn//7X/+Hf3ehtdhtiu850NG1s2J7NxzrfNaTAlVqW0HYUcBjqLjqry0tuqfz0yScPpVIZBP7Bm2+8+dGHb3704Q/fejN1+HAqdfjI0eOpQ4dThw+34+j9z/8azLXr9YdPPn3qaCpFnvrGJU2+wlIv0uXrbGXDFHqmGOv8xJU8lWprZNSQQ0ca1p3Q1vquEtflWGbbBv+Cy121xFsNpWvxoUL0TMZ3FVDB0atLPVvYb2Ax+I7ou1LPFrom5+m1QGF8gewxxTaBt/NoN4/2cmiAoQmGDVFshGATGAOA78P3lUZ9HB3m8XmocoyiIwxPCvmII2NLTBw1dBTPul9d5dsyeOWR9vgoowrGmsynisx9+st7re8BodZNadNW2o4G8vRz0m+y5CZD3KbKz0vl/Yq8Oel9S4rr2uSsO1m2J0vG3WVzd8kApP/+txqA9ONF7ZWzzk+eXbpnqx5d2abKHlHyqdKYpXYo5iY/Iz1BVOak1zTty+XpaZKokSJV/ValtCax90gqZImEJjaZyqZArvLl4bLxg++dffVs/aVn68Nl65Vn3Fefre8umfMMPVDkzbX3IE9/wKd/XirfIkstmrwjUJ6lbDtyt64d8OnBWWmuvb8oEHPS3+Zrs8l14mxa67rMbck8yM2DljhdSwakB0Ug/l6VqmfIniGDyrRf49M/vLP8ZpHDriUCSVTPlLuW2HEEzxZCi+86as8QEkMKXGlKk90SGuDZEQLtQNgUwiYwtr80boRgYwjeQdAdCBml4SGKTcvlabnSx3P9LBxBcIzCAxyeYMgUhYcwHCNQ/1GwB348YDw4RgxRZJTHx4VcT2QiSw4MscsRUaXUx/EYRvooBg7UQxRLSoWQJQKdA08s2KDn0qov/4EceKj+WHbwhytxv55XDojrWdK8eGy21e6rlowsObLE0OA9tdYx2I5W82Um4MiIriRkeUCWRkQpKhcGZGVCEZNqZZjD+tnsYCE9PJ2ewtAkkxmn06NMuo8hMVEKRSYypNDgZ2Ua4AL2NvfIlUNHAr8uUthEqg14ZsgzfZbqs1RSI2OG2G8jkQWzPRKNj0GCwJV859Gpkz+ik+Lj71exeaYcumrXEjeJ/PZHH4f/z/+7+U//5Ua3Ezhcb6nW1I2BabVdfmDIgSF3DNa3Vd8xupbctIUrXPmSwH4rVzqeOnz08JEnn/5mbxB/+Lefv/7+e6+//faREyePHTl+7NiJ1KHU8SefqDDM6+9/8M5nn7/+wYc/eufdXKV0+FCq8NSJC4Z2kWMuctQ1TfhLJX/DYTuLqmcLbZXu6FTUkDtGraOLiaV4JtdyuKGpdL/3rbVJN+4nq6tX10x1rAu+zXYW1cjQYk1uu/sFobOFERp8ZAqRJYYq67NVv1IIiliUR30M8uAFEMsEdUMgNTkzDElQeIDAMyc+A02z2XswPMLQPo4me1/t42hMFCKOjE0ZbEpzgchXuBf7ygLnPv0B0oOS+mtq7ZbGgdA9IH3H1Zuu9rBP/zjS7ynytPEZZ7riTJfNu8vmzpK6X3sPSP/qM+7r31p+qa636fImW+0xFY8sjllql3w06b+0Io8mKeYg6WOGWGfJNYm5KVSiRfX731l+5Yz70rP14bLx0hnnlWfqO4vGzop19+ysA+50yR4vWY8kPcjTA9K3GQqQfsuWunUNwB6Qft0Qgd5hw1FumcKc9LMJN/z9zjmz0e8SC0jfNsSuNatjbhsiKPcEEcuZD2oqPV3qGlLXknuW9oUzqfYvgjmZHt53fk2V3eyXmnLLEpo213EEzxWaDdUzxYEhR4vqriqEEtmvlXaJYlgpBNViQJZ8qtQlix2i0K3mO5WcX8LCEh7kkDYOe2RxqPIDTfB5aidXGOcLcQ4NkXQEp0cINEbRB8T2D+ryJhg2QpB+NtvPZkcIMsnhk2J+Wi7GZWLEsQlDe4VcjKL9LBxnMyEGjxBolIUG6UyMQHExH5Aljy73qFKkCaEuhvoM9vMP4Qsfp96+ZkGgA88ffLf98rvAgT/k63jxoH/i/Z4wMuh+E1lyZM186FgXY50P5VqPJ4fl8qBQ7ON4BMFheiFMn4oyp+PsQpxOA0symWEmO85CYJMdotAIgcZwdgxn+xgSlvIeXfEEKlBqvsYGOjdz4kGNny0AB66rMF2O8IiSX8yHKBYhaPCghSgWYXiE4QmGhzgeFPI+WfYEytc50L/5cc/jH/4D/+2sr9U3ddE3F7cd8SWl3Gxt3HvrV2+9/fq1i7fGbGWwyG3rVlfXbrsMiEgHthzoqm8aWzJ/uYZfEkpXZPZ8jT994slDqdSpTHoz6H7wy1+88cH7b7zzzrHjJ4+mjhw5dPTEiROpQ6m/OHfu7U8+/fF7H/zo3fc/+4e/z9HV1KFU7ptP/oUiPccy5yT+LyX2Nk9epCvXFPGWKnZszTeV2NZ8UwnqaqxyXZNZb3A9WfSvX3vv//ovf/t//Lfpz9+/s/LsPcvqWOxmXRw4Vl+VWw4X2OIsfmPwsc7HOp9ofKLxkVQL6WqYxyMIHmayEwjeQeBdFNlB0B0EncCz4qB5ZRAQIPdxNM6hEY4EeNbPZf0CPMLwPo4HOBwh0ACBRxiaFHG/mgtVPtAEkDYFdU8dU/gyyuuDVdOmDLT3ezPxRFBld0EiQfQeKPJWdWHNENdNqVs3AOmBIm+ep//1pI9cdbxSn644OyvWvRULkH5nxXzlGXdnxdw5a02W9O8/W3/j2yt3G3qLKW8IZLdW7ZLFMUPuEDQgPcjTf3XSUzRDk0yNeLZSviNxQ5JIaCKhiTs6e1th1mSqo/OjRf2lZ+v3VuxJXR02tOmKtXvGvrts7S7Zd5ednWVn3DCTht4zhNBRps/UJ2fd0FXBU3rb4q8q1GWufFukbjOVjip0TGnLEJqWBFL1M9Kr7IbGdevali2tmfw1lb4kVS8JlWsSeVNibgn0TZ5ZFWvbitBSRTBFflutNU3et3XfVn1X8xwZFA5tW/y2KbYdrmnVWhY3a/ulcb4u9G0VdBcHzUnAl9o237S5TUfoONJ9KdNenU/PYLt6rauzgcGDLvFAqb4/mv2A9MmV2ra4qfMbptRuaN2G0rHYtk55ttA1uY5Wa0tUWyQ7PNFhqx2m0quWfZ4KTcF3xJ7BBQqXqPLI1H2e8SrlMFeIi4WIIWKdjx3R02txuZIUCqNcfoShMQLFKNzH0QSFQdH8POXfx9EBjo5xDGj9wLOUYMggh02K+WmpAM7U88PBXBV4IKM/QLJDFBqi0G6+GJQKHl0ZS8LIUNqutOXyvgPit0CJo95vaPPIkPKf7LewR1a1da1Z9Khti02Tbap01+TCuuw15MgSexbfMpi2SIRkIcljCQ6FWPbeqfTd0+mdhfQ0nR4tLIwWMsAmGWiczo7TaeC+jyF4hGAjNBcjEHC5wPY6xjFgAfZ0nM+MqvmEKQciFdhi2FA8R/RMPhLoYbE0hbDpAjzJIBMYG6P4/QX2oPUxaIyiExiJUdQr5wOBjnUxMaTeotqzpdnoIIMDz2ZoSj1TnJX52TLIRIBWAX/wG/SFNju4GPcLyTqO5C0awdl69Mxyy5Sahth2FK+hdhyppde6Ohu5cs+UW6ZySxHOc+QLPHFRoC4L7DVeeOrYE8dSxxdOw90g/sWvfvn2xz//4Vtvpo4/kTpy9Pjxk0dSh48dOY7h+Q8+/fT9Tz55/6OP33/3vXyhdCiVKjz11IumcV1kr/LMC7XqeYV7jqOep4lrQm3DUNqOBvrHtfRaty5MVb5zRl+jpeaLa+v/938N/um/r/3dhxeeeXasGJ4tbDrC2DAjiVt/Rui6YtfityXCq5XCEh7gcFTO+UQxwpHk4CYDjRAIyI/27zMDJDuAMrsoMkbRCEGCHB7g+Tifv0eSL1cr36foSaUaFitBqRAX8X4u24dOJdlT2wUk5umhygMtUceROqbgmTxoSPWFD9HcOjrf1NiWLoDQ77rMXRWBQ89cFZlVjW/ZatvRNnV+1eDWbbFt85262KnLTVtomVLHULYE9na1fI0nr4rUVYW6ozNtW+y72rhhAmc4suTQlMZL1u7Z+nTJ3lm0Xl6pz1rLL5tT0CDvGeelb9df+rbj2cI1nVmV2VWN75HkgCB3SPYGR3JUlSLLdI2iGFLTNEPTVVU1LeeLO+fQ9AOkH5PEgCISmripMrdkelVmttVaYMvDhjGoq7EtjV11ZxGoCZzdFffuMw0wvy5yVcC80Yo9PuNErgqKp9dc6ZpKX+bKN3niVq3SUvmOKTUtCTQbmuvytk1xyxA6rrrtyKsGd1WhLknVy2L1qkjcEOlbAn2bp9cktqmKLZVvKkBLX2vpXMdQupYMWpLtG48mbhu1jsmBaBLoNtp15W5DAUpgXxc8je8Zwkyl6cgzTZB1vwSoawgdjfN1DoQo53vrvEHEgT644Ef82YBF0bfVvmtECuuRRa+Cx3guwfAYxWIYHcDYAMaGEDaEsB6K+EQpUmuRK4V1OXRm6pLEkEKV91W+a3Jtmw9ssS+zA6Ia5nMxCtJaSB+GgFJv1nUHRYY5bFTIDYq5YR4HBXWz9D+KzA/LoPruETGAvTPBgzJ+eIwjYxxJMhkPQ7rFXFwtJyzT1dmOs1fSOnuElD+R/vdnjyN9y5Q6jhQtqvGimrhS4kqRK/UsPpTomKn2C/lRFhotZIanT4OM+/T0wjSdnmQyEyg7QaBZuQcE7yf9OJsZQ/AQxYYIvn+17Bd/hMjpPpYZ5dEQx9pFrFuremqtpzABR0TVYh/FJll0B8anOD7C0ASFH0f6IQqBVlGjXD4pFSK6GkhMqO/1YAHajobqNdTAUfx9Ev356MI/Fkd/FqXQpfme03Xljq10XL3jmh1b6Tpq11G7rty1xK7JeSYfWaLnqBuadIWjz7HEeZECpL8lK08/+cTh1JGnvnHaiwfvffbpj995++0PPkodPpE6lDp8+PCJY8cPpw6lDqWev3Tp0vXrz1+6ZNXdJ06dSqVSyBMnz+vqOaZ6vkZcEJkLMndBZC/xtSscfUvimobsWVLP4n3HaDcUT6+1lviBxA7r9Vay9bPBZP3ChXVdG1myXxe3HTHU1ViRunUhtsRIqnnlfIQjAwhKMpkhivRR7GF3Yr9+aJ9BI2ymQR4gsAdDIY4PCsV7JPWGJL4lSq+zzG654qH4FgRtQ+kekglQJMLwMI8PKuW4WvZowld5z5HBEIqvSvquMSvPBuOdAOkvSORlibkiMnc0vu1oXUfdNsVNS9yuK21X6DakOem7prot83do4rpAXRWpayq9bnFdV04aOmguB6rsfEvqLxogVT9dsu+eqY8WddCDblQ3Rov6aMUcP2ONzpodnb+q0YD0Hk0MCHJK1G7y1H7S67oKSG9Y5pciPU2T9IOkH1DEDaV2S2FvK8yaxGyrsx7dHZ3vm+LI0SZ1Y7Jo7Zxxd55tjM440aI+d2rjujZYtgJHASEUQPoLXOm6QNzmybYmtK0Z44F165q/ZAJdXttRmq5yR2evSMQlqXpFIq6K1A2Rvi0yYKQ3kNm3VH5b5WYjQQ25BZrdGkJb49oq21XYnio0NdazpNBRQLWu58i9RbW1CPo2aLGtxbYW2ppv656ldU31QPp5Xq0B4tWeJfVsCYiEO47QswXflXxX8vYN8gLxq76thqbkGXLk6ENbjRnCx6AITu8iuR0Yn0IYsFlXnCw6zReSQt4r59sE3qGKXq0SCHSksP6i4rtS6Ei+I4ItLzSlUOaiXC6GkQGEjKEZ3cforIHunPSjQm6Yx2fF9NksUOENcHSAoyArFsHZx2n195N+iCIDJNuHM30408+mIxwK82iEY3GxEAk0iNn6lrDXE03+E+l/f/Y40m81pKbN9Sw+0thQIkOJDBWqI5HDanEXw196OvvSkws73zg1OXV699TCvadPDU+fHqYXRpn0GM6OURgkd4YwPM5C9w2ChzA8QNA+ig1z2IGjIejQkKDZCYbdxXMjBAsQNCLLI6nWF5koh/cxZABBExgZ49gwj/cf6vew33awWcBphKFDFAtx3GeqoSP16gpokTZvVA4UMPOexPPwG3CV/uA36Attf22Ct1cf0TbElia1dRnUHHqOOgs+m2Jgi5Eldh31psieI6sv1KoXpdpFgbrA0tcEOfONo0dSqSNHT6YOH0s9+Y3UsZNHjp48lDp24vjhI6nUycOHnzx+DEy5SR1OpQ6lUseOHH3yZCqVKpx6+pypnefICzx5jqfOscRlqXZJZM4x1Rdr5JYmBrYcGdKupA1MLXSkTZuOTDZ0+RvLfPyMGfNyaArtOrNt04Gj+JoW25pn8omlDHlmksvfRbB7KD5F0CmCjrPQI5XCs66gDyiKYGB38dwAR30EjjB8nC+8Wqq+UWNep6g3atTL1Uqcz3u5fFTIx8VCmCv5aGWIYn0IDbOwny/EAhvYMuh0+9VJL+3JvMSWLqxJzFWRuCCRF2XmRZkGpO+5WsdW2o7SXdJadbndUFp1GXitHVtradK6ULvKk1d44qpCbdh8r67EdW3YMKYrTrJoAEFA3NCHKzbI1u+ccafL5mTJGDaMxFEjVw0biteQuw1xW2ZeVKlVmV1XWY8mBkR1StI3eYqnCYosUwxJ0oSuq3NF3heTnmJmpAdVdnPS31TZWwp7S2FvybU7Er0u10DLuZ7K+boQWXLf1QZL5mjFHi5bcV3zTDFyVeDXRnXNt+WWyvZMcc0SrkjEebZ4XSI3dd5zVFCPe4D0vYYO/rtVV29rtUtC5ZJUfVGmr4rUdYG6LTJgnjdoYt/Shb3RtHM5ntgxhbZeayq1plIDo8PA4wQcbs+SPFPsqZyn8b4+6+MRGHJPl8A87FDlPY2fTaS193ZSQwgstWfOOud7jhzYYmDwocpG2mxqXKTMLJbZSKolhuTrQkfjfEvqm2LMEkEeipHMNJ+b5PBJDh/m7u+eMQpPIWyAwDEKx1g2QeEhDI+ySD8L+6VcQJdjjQ3rcrch9RbVXl3pGtKgVJqV2MHIcA/YA2gWDQM1dcBxBz79nN+gf87c5ofrgz31DoJ/Rvoxlh3l4WEOPKJYnyiHcq1n8YD0PUP4E+l/r/bITapnS4kmJjVyXCzuIOhOJrObze6iyC6K7UDQbjZI8PhKAAAgAElEQVS7s5Aep9MjKDOG07vZ9CsL6UkmM8qkR5n0CMpMEGiKoEMY7mez4yw0gWDA+PlaAspnIJKad14CiySEMiMEu4vmJ1msD6GDUnFEEwlZTKDsCEF2UGyCYX0MidBMgoIE0GNIj8AJCkc4MsLQcQbpw0hIVwNX6i2qniODpTUfMQASZ3Moepbim0pkqZH12D72XzebD4vyLKlnyqA4aC/zpQBvajZswpIjS2w7yk2RvUCT5znyksxe4MlzDHm5xjt0fuFI6vjhI6nUsWNPPn3kxMlU6vCJw8efSKVqOFI8ferJVOrJY4ePHE4dO5Q6lgIzblNHUykBR59XhQsic1XlzrHE8yxxQWTOC/QLteoVntoyBEB6Xxc6puAvmW1LbutyuOR0XP22KiSO3D2jrC3Wtq3awDF8TQnqes8WenUlEugYRoYLUB+GQgwe5nEgIZqHDIcoNkSxPoolGHYgRASi9wmaHSFIjKIBho4r5e8T1Bt07V2ef4Mh/4qu3K2Wx9XqLk1/X+Bf47hpueLDuRGG9zNInIHjQikR2MAQe7bUq0v75US//iECNic9+HeP9NULCvWiwqzqAiC956i9uuIv651FtbOotuoyGLwOJrRtqsJVnrzIV1+UyXWH79VB+ZU6WDJDVwUZ4dBRkoY+XLYmy/Z4yZquWKNFM3FUf28K+YZVWzXoNYG4opBrErum1EK6OiSJCUHd5Cmeoiiy+jsg/XAveg9qB28p7E25dlth76i1NaW2KjNrKr2h15omDx68vqsNXX3gaL4lRXUNDOnyXaVnS02N7RoCIP05rnhVJLYd2avrPVebx+3Bv72GDtR53qJxn/QiCUh/Q6TvSLVtRWhp0sFqOl2cz0Xo2ULL4raN2rbBNU3e16WuIbVdqd1Quq7sa2zMEEmp6FVzPlH0iaJXLfQqeY8sRhzVl9m+xIcqD0Z3+JY09+O7jtqxla4l9gwhVNlYZGKWiKlKUM77pZxfygXlfFQuAAtL+W4x16sWu3TZ48iBwo4EKiljPpIGUfT7Avi9zjajhcwEgicYMsXRXRS5C0E7aWi0kOktnPKR7KBS6jNEyJKBUvNtuevKfaIc5/AEhYcolKBZ0N0W5FDBG+7flIc5bIxj4EvzrvizCvt9kbT9pN9Lm80ucowjkxw6yaEjNDNA0wM0PYSzYwge4rmQJTxHDGwRbMezGwGeKOfrp1z7I7fHkb6nMF61mCDoThqanl6YLCxMFhbGp0/vfuPU+PTpfjadQOlhNj1KnxplTg+zp+/B8G42u5PJTDKZHQjagWY9GQHm56sCLAYQegUrar6oQFonQhDQnnkMoQkEJ/lcXMB6WHqAZEcYPMGQEQZHaCaC00M4u4OgjyM9kPT3C/gwh00RfJTLJxzp2XzHmXVi7ptybM6c+8iSo7oGOv2BZrqgo37w+Kqqr5vNSQ9y9l1N9E0ldg3fVkGRN8iBzsa32HLLltc06apQu8BTl0T6okCdr1GXWfZ5jaGfPP7NVOpk6vCRVOpQKvX0E8ePp1K5I6nvqWK9XMIOpTKHUtljh7EnnlhIpZBvnESeOMlkst/luOdF5gJPXuTI8zXiglw7J9LP8+R5kbqu8ltAWWwI3WVl02Dbljx03EA3AlWfaFZHU7cb6rYj+8u672q+rfZ0KXCljstvOoInMDGeG6N4H0cDHI5z6P0A4Xxd7SP9g34FlKDZBM32s3CAIj6OTonqj2n2LYZ7i+N+RJOTaqVfLCaFwl2C+InAvinWfkCWpzg6JqtRLhfieEIQiciBATaeLXwZ0h9Q5LWN+11W1yTmmkRekMh9pFf8OekXtc6i2lnUW3V125FBA/ymq21a8lWRuiQQL6rUhit0G7OG/FFdm48/DQwxsuShqwNuJg09dJSuJrZUflPlVjX2lkrdUMk1gXpRYdYkdk1iQro6JqsTgrol0PtJr2mKaWhflvTz6P2c9AlNxAxxRwKA525rtTs6u6Zzd9TaTYm6qTK3tdqazm2ZXNvge6YY20rfVj1L8l2lZQlbJtd2pY4jgdPAhi1eU+kLQvkCV9p0ZpL7tqO0bBmQfn/C3l8yW3X1js5ekahLInlFoq5JNCA9iKuA2XfbIMyiCV1jVlwUOIrviD2L7xizuYqBJvUMoeNIvUU1dKREYAbFwjiDDOCFIZwdIdAQzg4gaIDA40Jut1IaUERcI32RDuVaX2aHKh9bYthQgBQo1vlYZEKiFObxCMfiHLrfP543oetjyDADjzA8wbAIx4aVwpQoj4pYgmaTvXqS+wXuGDrC0JcRfBfFhigUI5kITidotl9AB5WCl4cCHB6iyCiTHS1Ag1yuz9GBwceVYpgDbe+gGMvGWHZ/2/x5H9y57a9DBao98A2/3qffB3sYwH6IQklmoZ9NjzB4DGeHmWxIlDxHDB3pT6T/n2CP2LZs2XPkWGCTQmGchl8+Bb18OvMSsFPp3W+eniwsjNPp6emFe0+d2v3GqeHp0yGSBo7+9PTC9PTCbjqzm4F3M/AkM3foURC0nx37cHiw59MfCLeCiNEIwYYoFqNokseSPBKhmWEBHeAwiAMlKDzA0SmC7sKPJ30WAgVUIZwN4WxSLcVKzXcE3xICpRbyVMJSEUcFHBnyVCwykcIHmhCaUuAoYHLPbHjV42thvibmzydjzQL4imcpIG0fOorvKkB5AHrEgvbAviW1LKFpKTdl7hJLnOcqF/jqRY66xHEXZeZ7ZOU7LGsXK0a5ZFMVDs1KOPZnNeK8Jv2lUHtOFr9dI8+Q5W8z1Lco4ls18rss87wkXVbViwJ9SSCeI4uXePqcRD3HVl6oVa5JtXVTmnU/BLu6KfdUzneVbkPaVkhfo7v1WldTfU7csR3PUTct3rOFxJa6Otu1xFjmh9XKbrE0zef6GDRG4VEWAnpeoMaYbzUJhoH6OnAIGKPoCIOHOWSQR0YIFmJoJ4cMy6WXy9XXSsSrVTIp4n6x2MULPTw3KZV+UiPfFuif1qqvVfK7Mh9US51Szq9RvsoDmnZ1djZp6Us8RPMaq44pANg3NX5d5sB8+osydVWtrQGxpKOCRFKvrrQbGpjT1rLltqO16nrT1TYs+bJIXhLJF1VqzebarjQbzuvM9CVgDERkyYmjJo4aWXJH55tKbVOubYjsmsTeVphbKnNTZdZF+rrOrcvcqkTGTHVCEftJT9coQHpDVzVNMW3ji0k/196frZZvSdyAImKGiBjijkCty7VNnd8whQ1TWDf4O2rttkjdkumbCn1LZVY1dt1gty1+PpewafJbJrdhclu2sO2ITVtoWcIdnb2uMRdl4hxXXLOEpqsA0oNYPRDez0nfa+hNV1szxKsKc0kkL4vkNYm+KbJ3JG6vzFHY1oUtIJ3QxZ4pg0Eyvi0HBu+pNV+kfZ4JOcbT+MAQQ130ZSZkiT5RHuXxURaaQOkdJLuLIncxdBfFpsispUwMIz6O9gpYUMzF+VxcKYY86Vt8aPCRzCQ1YlAq9lFsHgOft60FKxUIkkcYehfDdzF8DMH9bBYkzgc5bFDMRXk0zCEBDofYrJ4EgH8KYaDfbYJDCQ5FOBTkIa8Ij7OZPgbFBSTKoyDYvpPLjfJ4XMRDDB6i0ASbHYRBm9t9XvjsSubp1dnr6MzAw/bYnXdfJ90BMtuy+3BmhKEDCBog2UEeGcLZYToTVgo9h49c+QDpe6b4J9L/7jnxqE3Kc+RQ5f1iPlrIDE+nB5mFfjY9hrPAa99NZ+4tZO6dSt99emH31AII4wOnf7KwAGA/XciO09lxOgsy9AMI6cNIgqDgKDnA4f2FGA8o6eBsklkYQNAARyMciXBogMNjOD3MIUN0Fr4CUaURhk7gx/ZwBGsyRqAunG4XYJ8tBzoTOFys1EKmEubxEENDDPVxNMzjSangV4oBVYmkWt+R40XVd6W2zbdtfj4s+ID9wW/c/vvl23LX4vfOH2Cs88wHBRViHpAW2bK3F+HvmlzXkjc04bpIXxarl4TKRY68LLCXVfaCzF1SlPOydE7iLxvSFUO9oMgvGvJ5ofZcjbyo8H/Okc/L7AWVvyCy5yXmisRfFYTLLHOBJS5L1PNc9aJUu8CTl1jiGkdvKGLXmIlqfVvesMW4ofuWtO6wrSXRs2odk/QcZmhoiSgMDa1tsC2H6zl8bEueJiZ1MzKkHlUOirkYhRMoDeKUfSwzBDZD/syjeBzpJzAWYGg7jybV0r0q+UqZ3KEor1rczue3c8VOvjwolb5PVX9SI39Aky9XK2OW8sqFbqXQE5mOznuOHDiKr3OPI/1j+95bPIgSAeXEhsJfk2rnReqSSF5VmHWDb89quaW2LbZdqVWfNYNpOxog/ZajrpvSJYG4KBBXFPKOWdu2+LbBtw2+afJAx32/Ze9eB+gNlVmTmFWRXhVraxK7KrN3VG7N5LcU9pYlbsq1NYGImeqUrk4I4qbEcCRJUwTD0iRNqKqsa4qqypZjnjhx4iuTPmKIoEas8uSWwrYtuekqW7a0YQqrGntHoldF+rZI3RDJWyqzanDrFrducWsm29K5dYVe1Zg1k123uE2LB6S/LhDXVPqySp3nS2uWsO3Ie+eg+6Sft9Dp1rWmq62b0jW1dkkkLwnENYm+JXH7Sb+l8Zsq19T4riHN2u2BE5NaCzgyIMtRpRSVyi2lFqp8JNDdYq4HQyEG93E0xrKDPNLHQKQI7uNoH8fjHB7i2C6SA754H0aGGTiGkZAo+TI9VLmIrgQY2s9mpzCyi+EjDI0QaAIje8Il+IHli0P9HNzHoBEGD3NYhCNBDkmqpX4BH+SwuQZ1AiM7CDqFkRhGwCTZMY7s4uguikwQaAjDoJQ5ySP9HNyHMyMEmuTQJI/EBSxB4QmG3MvjEwwZINlZzv5RfXAfUUSHPJbxD/N+hKHg+Rwg2QGCDiCojyFRHu7DmWE6k1RL3brwSNL/KU//u+fEo8jhOfKI5/pYYfR09t6p7E4mM8qkJ6dO737j1DA9I/owm46AMiOTvXcqO0wvjNPpSSazk8lM0+lxOjvKZIfpzCQDjTLZYQZOILgPz4JGIzwLML9/njKwXRSawtBODtutlIalfD8HjxBoB86AA8EUQccoUKKgMYr20ceSfjb3AUP75XzIVz2d7plMT6N8ohjksAiCxxA6RfARgg1hdIRgIYp5OdwnSj5P9dRa1+R6thDU5T8W0nu2MA8X90zZs6TAlQJXAl1APGseIZM8S+rZkm8JgaN0bG3dlO4Y3FWFuigQFwX6BYl+nqefq5EXOeoKS16iSxeI8mWa+sta5QWOvCQyl2T2nEyfV5jn2MoVkbkkEJcY4gpDXxNqF7jKOalyTiGf44gbCreqim1dDXQ91NVQnw2NbTbUWJN3VLVnK4Glj3Rr29bbpuE5YsvhWw7XrXPxktDWKc+SAtsCNSBdkxvo/F2B2akWhgU0QDMJtpBgCyDxNyul26v4fVCQD/UxKMGhCYyFONYt4glRuUuQu+XqgCA3yvmNXG6rUGoXymGuNCoUd8uVaZUaVWsBhnZQxCfLvsq3Db7liEFdDR3pcaQ/0D1lzvuexXdMbubWa9KGIl6XuPMCfVEgrsvMusGDWV9z0gPGd2ytY88m2G7aypohXhKIyxJ1VaMB6cF05m2L37D5LVtoOSKIQrUsoWny2wa3rjGrMojSs4D0G5qwacktTbrjyJtybZUvx0x5hyEmBHFToliCAKSnGFJVZU2VVVW2XWuP9KlUKpWiKMo0TVVVLcvSNMWyDEkSagxVZQiOqZ6tlu5Itd0qETPVAVHdZiqbIrVhcluu3DTEtsR2OarHUiFJ9FiqLbFbMr8msasivabU1nRu02DXZGpdobdMbt1g12RqW6JjVbilMlck4qJMnOdLG47UbmhNV2k3tHnQvuWILUdsu1KnLnfq8qYjrZriVZm9KNCXePqaVLsl11Zlpq1xLZ3b0lmQhm+CRvea0DUkMNB6YIgBWfJxtAfDAYb1xdpYZDsY3M1mBjgKFtkQhfoYMshhg5mrgUxhZAIDlRkUIukAzyZ5BPivCYYk1cKwVIxzeIQg9wPvCDLeF66fe8D7MQki58B3j3PoDPP4bMLs/H32V7XdD4rm8UEx1ytjMQKNslC/gA/K+SkKT2FoWED7OXiAw2McGWHww/B+VBXTA1/6Mph/pNc1RLFJFh1DKOijN4WwAVnxHSG2ldCUfF0AMqJ503JQJXU/VrmXprrfS+sPvfP+T7K9Bu97kzSVmX3FzwFsUrPm8IYYGCIgfccUQqI6PQW/8kTm5W9mpun0KJMeZU5PTy+Aovm5jRYWRgsLgPEgTz+CMgMIGmehnTQ0XICGGXiUhUZZaAzBYzg7zmYmmQzw+CcZCNg0CwPr4+kJlO2XS2OJ80wuqeYCNAPqpAG552fNAY4OcthdPLeTy00w7H5LZhQBxwIwsHFSKkxKhX4BBxXY+2NLw/tV13AfxQYYPsDwBEFDDE1KhT5DjAQmUbjEkXu21NT4riZGlurbasf92in1eub9NpFfJssQ2DOhflBXvYbasuUNjbspUVdY6kWOvsLRlwXmkshcFOhzPPUCR14U6EfaeY68wFPneAqU6l0RmZty7Y7KeZYWOEbo6qGr35c7PH5ZzkYW2XJgy6AIAvQ26JhC1+LDhtKvy4FIBGW0j0ETKN3fkwZPkP+PvTftbtvK0kbfru67ekgskcQMcMZAEvMMkBo9xHZi15hUEjt2bNmyJo4ACJAER8l2huru6vve/vL+3PvhgBQt26mkqnqluu9da69aKluRJQo8z9l7PwMyQeExAo0QaIhCE5DogaIDDA9JLKLQIQHFWCbGMkMCCyiymyv4ZTZkq36u2ETwEYb7GNqjcL9A9Uu5AVMM2Xy3TIYo6RNUr1z0pap/+aJdZiZdijBdBcg31r28vFVIrpkYrbZNqanyRwr/RK59KXFfKJVHauXQrLYdwQM47aqthpEYujtq29Y6jt5qGGd1/chRvhDZhzL7VKs8NyrHdrWzo7S2pOc681zjDvXKoV450isvNO5QZZ8rzHOFOTCYA419prIv1OqxWjvRxDNLabtm1xTbptCWK60a3afLfY6ZldknCi2wNaZMMxxdEzhNl1RFsm1b1Yx/+Id/+Lu/+7v/9Xf/63/94he/4DjuTyL9Oc1ElfKEoU8qpWOROTaqpxZ/plTOanSTK52xxV652KqUTwTuSOKei5XnYgUg/XOr+kznDs3qkSs8s2tf6+xTlTnSKwDpH6rMF1LppK60t/QzV2nWL9fzLUdZIX27Lp+48nNTfBvpO4bQMvgzkz8zeZA33zaljiG1Tamp19o6P7SkfqUUFnM+SfSzVCxWY47xMXRCUt8VS3MMn8DQDEfBWj3Gk9S4CY4PSbxPYRMcHeBwRMAjEo9RdJSBQhTuU0mOXIQh8Zq57BjDBjj6Nigmn0DgYyLZbgJnG3C3GC7H6W9pSS+PM8B2HmSJEYlPYGSMYVEpO2Dy4yw+wdFxNkF6kH8zfotC/5fXlYsLcNkDPOoIQ/oo3CfwAUEMcllPoM/qPFg9gnXUysmk7VzN+vvZT9i/mVLfMB740QUO1uRsMkXQ9nUsMdoxI0MYcHSczY4y0GBzY5ROzVBoHeNXlWzuMxmA9CMEilEUBIeM18IXRggSQ3CcSceZ9BiCV7WuxBvAm6N0JmLLU1PualyUw4YEAnZhK6SPl2KQmCLiQjYuZIH4c/XeSc56BI4wBGhGQgwJEChE4bdTGZP3CEFOSGpKZQE/oE8Sfo708mTIlSKlBhyc+o7ed3TPVjvuz/7r/utUbxnm23HlliWfWdKRltShJj3TxKcK/7VSeyxXH4uVd9aBzB+owoEuHujioSEemVLLUnu23jXVrqkC4cylC+GPQHowCQdI79myrwmRUhtV2T5JBOnUEM5MSGyEZy5/jxgG2FExCgPaZmKdhBMDgogofESiYwzxsUwHzTRJtFnMNUvF01yulaV6hXyYo1oUdkIhJzmsnSf9Uj4o5DokHmXzYanUr3F9TQCKqtBWBra6bm+a4LqrAMeUq938EumBKUvbFJZIX1lDen4d6Zt1PQlpWyJ9p26c1fVjV/1CZL8U6ccy80Shn8r0C415YXKHeuWZyh4ozIHCPFNZgPrgT45U7khijgX6lKdPefZE4E7l6pkqNh3x1OJPZe60Wg4ZOqpyc5p7IpUFtsbSDMPRVZ7VdElTZcuyJFm9RPp//Md/rNVqlmWpqmpZ1grpKyxX5liQZXeoCBdlblhhpjTb5orNavGML7VqpS5X7JZynWK2W8p12EKzWjwWmUOJey5WjsTqkcIf6/yRzZ9afMsWW6507AhPzcrXOvtEY56q3AOp/FBlvpTLZ1taZ9toOUmW3SXSOwpo6Nt1+diRnpviV3L1c4FdIf1zmWubQsvgWwZ/ZojNZXJd25QOTf65UTs0q72G7GnVvlQJeMYX2IEpBjzTxpEIxc5JagwjAyg9wuA5TiTKIhQBSDwgsIjCQWocaDIuJ/Pk5ckF9t+rYeb6ibZOVr9iM7diLI/WLGvAH67PyVdIv/qWziF0kUEmOB7RuT6bHxYIQI67gvSJYc5/AdKvfiKA9FMUCzHEx+ARhk+yuWGF6Rq1ZkMEfcDlO2fpSRmal3nk/z/S/+X1BtIvX+2OJQ5dxd9WO/tqZ0f2FDrMouN0erGZni97dzClX+/sE6RH4BEGg+dwiq5OYRREJAxheJSBRhnoDZ39Wo1S16LNTChUpw2zKZUjDBkT+Bgj3qnpGJF4VMpGpWyUJyMKHxDJrGiMYeA9Bbh7wO9h1fG/7zYMnklALx2SwDMVDQg8YkuRxod1Dah8AQ797L+4v7wuEcuWkoCiuu47xsoLpGOqbUMB4d1NTXpntXW5bSRJ321b6Tlq4Oqha3TNRGbcNWVvFTZt/wk3WfBpXVP0bbnvqp4ljXiun88NMGKOkucYscCxMYEOSGS1xwH2nYPLAxABV70Rhq+veCIK9QmkQ2GtHHFGEicY3MJRL0uMMDzKUn262KHzrXy2ncv28sVevtiqlHtSxbOkld+JtzQt9dbeL6vv2X/zHQQ+7ljisqeXOobQ0oRTtXYF6ZuO2HFlgPRt9xLpO466QvpTV3sgVwDSH2jsU5k+kIpHeuXU4kEdmbUXRvWZzh1o7FOVeaoyJyJzWi232FKXKXWZUpsrt2p0U2SPzNqhXjkS6JNKacCxI6F2QVcOpLLA1jiGZStMpcaommjoqmVZ1Zrw93//98n0/oMPPhAEwbIsRVHeh/QvZOGizMUcM2O4Pl306YJXzoXl/LCYjwv5cak4ZWlfZDoy21SrJxp/qgininCsCkea0FQqPakSiNVArnm60DaFE7P2TGWfyuxDofRQZR6qTHvX7O6YbyP9yimv5SgvTOmZIXwFqCICu0T66kr/cCV+/lQXjnX+hVHtNWTPEiJH7luiZwlRQx0aol/K9RB4CKMjBIkwJMARYLY8wtCQxMIsHpLYCEuyX1d9xgTHpwQxIYmYIhYECToVcLLEOAZUoWAeMCWIq03w2tj8imJt/TPXh/9XkB7UPINMETSmiGExOyxmR1kMrLIA0idGExiS6AjedSZe0bG8L+zuT1ayl81AgI04R8mLXGkoVT1b9tzEtwTMk8GFGgC8907yi/k/4eT9SbVylPorfDVLAv7egP0b1OWeyQ9dZaDVRlVmUSq8JKiLNHS+kT5PZabvgvl5+hLpJyg8JJA14caKJr16jEG8GLaqCYJeViYzxAlfE4bbZlfjYhxQ+a7u41fP+SBPDpYwP3xDLUKu3ibA9WGEIBMEXf/D9RnYijQQo+gEx2dZapalxllyCMPDXDaslgODBzDftfj+315PvwaiKvAD+OGr8Hre2hvPlauChN8r5b+nAlPxLdW3LkdKybzN0TxbXd8prP7RdxfojNeQPnCUnilOS+UAQT0IGhFkTBEhhkQEPMzhUwSNUbRP4F6W6OUIL0/2syQ4eIcEGOrgAyxB+jFOzXB0ShBDnOijaJ/A42x2kqOGBDaAkGE+N5Sqni6cSJVjkTtThDNVbqlVz5b9bb23rQHN13pOIwiwAd854Eb4b76w4ANAxAPU8o4htHXxTOMPlOoDkXsgs4/UynOjliC9c4lca0ivJvT7hvFQZh9IzBOVe25UDvXKsZFs69s637OkniOfmfyhyj6RygcKc6hXzrRqS+K61TJgmIGw+C5XOJbKRwJ9zBXP2OKIZWO+dkFXnkhlnuEqLMdWGK7KqqpsGpplWQzH/uIXv0iQ/tq1a6IoAqQ3TRMgPWDkvd3Tzxium6c6Bcor5yKuELPFuJwfMaVRlRmaQmAKiQ3nUtp+pNVOq+UzttguFzpMqStyXUM4M/ljrfJUZh/wxQcK/Ujnevu2v2Ot9HXvQ/oDnf9Krn4hsutID6wKW4bY0oSWJoD/29SFSNc8XWprtdCWAoMfukpoS54l+AYfqrVRlRnlczFJxRTRJ1CPQLpZNFGvEfg4S45BHiKMDJeWIG8cTzi6wAlApAc5S6tDaoRgY4wYEyTwghgT5JggYxQfr+3I30D69+jX39m1gDF+ROGDPDnOknOcmGIIcJYYkfhaQw+DeucYf/3rv9P+9k8298kVBLCx0ukQQ8IsPs7lJgzt67V2XV7unq+mv/QsqdOQ2nW55UotWwRUI99S+5cHzd8QVeq/tFZH8PoLtRJZ/bTXAXAdHID0cuBIgVrtmbWAK8YoOt3MjDbTYTo9gNITFJ6l4VkafnN6n5plUpNMZg5BMxgk1iCgzQI91pBAYhxZG5uTE5JaUfBAC76qGY7OisWuWgscqe9Ks0KuDyMRSb3vxrlk7KOrxzsZ7OPECLvceY1BghmGvA/pwZM/QiCgMpjg6JTAxhgyg9EYx/qFrC+wvi32HLFnC9HfksoOVNfiuxbI5FVWSP+2m9uqVtFQCWIBlypTXE8KBmmTIPZ3/Q/X68o9YPXFkxvDm5O5H5qFuGZdq34AACAASURBVEncgAeII5bk23LPFAcEOSSpSTY3Isg+AgUIFBFwn4DHMBJhiEdg7TwJpsJeOR8Us1GOABPTKYqB8MwRQU2I7BRBQWcFZq5gDhrAmUk2N6SLQ6UW2lLfVUPXCF3Ls/WuWgMyxdUbpG/JgS4GZmKCfvl9OhoIHVjx3hO2hCWBaTGQZwPWV1MXnqm1hzL7UOEeqZVnRu3Ukdcxfh3pgetrp250ti2A9I8k+olCP9c4APMnevWsUjqr0acSeyKxxzL7QmFP9OqZyZ815LYjeFq1X2MGTLFfygXFrFciO2yhxRY6dL5DF+MSPaxW5jT3tXyJ9GyFUVXZMnXTNMsMfYn0H3744Y9B+vMyN6gyMcP2aqyvVEZ15eV165t9c9FQp3V52tDGrho5qucmZNeurTQt4cSsHWuVY5E5qhSPq6UjiTnSK8+NylOVeaZWHgqlBwr9WON6+7a3bb4P6duu2rTVBOkV7guRBiq7pKfX5ZYhtvWkWlrS3HdMtWnLpxbfaShtsxbUZc+V2o7k12Xf4EemNNXFiVIbiVzA05FaPdWYoFoeU9lJBp1AWJzNDov5IE/1SSLC8RhP9GkgAGZCElOUGCHYAIFDDIlwNMSQPgqHKDxEsRGGDzA8xLABhk9IakpQ8Zu64fVD6m1C3OoEvPx88nLsH2Zxr0T2S9SMJC8QfIYm3NTLAxGFxwgEarKcu779r6yMUAA9cMV3/TEwv0L6EYL0UdjLYh6TD3ja06ptR2g1lO6W2mkAUBfBB6C6dcmvyx1XBPO0niP7jhbaWmiuI/0ayP3PJeit9xDdhN/Ldyz+J78OruaZie1ry5W6dSkw+KBKhyg8ycCv0ugrlJjg+BBFZinouw/heToB+0RTB2AeSiWsexieoDBwXopwdIQlK6G3n9W3N+WgBjg8LRTaXNET2dCqzQqUD6UHBPnOx2mEoTMYnUKJ1e4Yu1xsxTgxTlbvZBKfg6Pzt+6j62t78PxfPu0oOoThKYLGKB5SZFClQ1vx62pi1fxzPwBXqmPXAMe7aysrW8kfHPkksjfvzVhIz5WS5EBb6NrCCtHB/327Vp+Q4PRyy+atDQz+PKQHH/SL+T5JjDHiHKMuEBx4JfWxzBiBANJ3ctluqdBlSj5T9OlCQBERjsYQDNQfIwQZYXiME4maiSLiQjbKkz0K7eWwfoka6nzf5PuuFDhSqPNDTZho8kgWOmatY/HJS1GXVhU5cmAK4CfqWKJnq6Fr9B3dW1opX0H6pp4YsXRNsWsIbV18rvGPpATpD3T++E0T9yX9/nIBDcxeH6mVB1L5oVB6JBafyvSJWWsZ/LFcOWOLx0z+kM2/4MtnWhUQm1oG/6LBNxuib4uhWhsK7KjKjKvMuMoMamy/xvTZUq+cHxXLgwo3p7knCr1Eeo6tcKqqWoZ5Fen/5V/+BUzvVVU1TVPTFMsyJElYMfL26cKBUp3TTFAtj1i6yZR7UmW4rV3cbby+4873jHhbG+3oix1n1DB8RwNMxa4ttR3hxKmd1qUTWzgz+VPjchVxoDAvDP4rsbxC+t6WAWR1V5C+2zDbrg6Q/pkhPFIrAOm/VioHSvWZVAFbqLYuJzCvJS3+oSUdOdKxI7UdqS2zoVrrSzVPrHSr5WY563GlHlvo0Lkuk28zOU+gu1vyyJTGLBORlJ+lwgodCVzAlvoEPkSxCYIviGxMEYD9e05SY5SMcWJAEMk6EIciCh3niWkuP87lBgThY2iIYTFJTQlqDP/k2fiKfn9pQLY8xfolymOycZacodgYQwZkYkAB+p4JvLQ1hTITGAKMqjGMrGab60i/CoVcaVh//HcI+rmAwPskETCFnlbt1qVlto0YLHPKV6HUoIaGGBlCYArLt5YG4oM9W/ds/f87SL8qcBh1XBHov3/q69B1Nd9SQ1PuWeDyJIZqLWRKzcyGv7Exvpa62IRnaXiUgQYQNESR8xQ8T8OzFDRNp2eZzARKTeH0BE7PYHi6JN5HGLS6/K3sk8HjF6PoUq7y7qeij2WmKOFnqT5d8MXiOIuHUGaMkitoX4f5IYqshv8reAYPObgxxzixzCmHhig0QqD3wfzbqD/BAe0GG2F4SJB9hg5NOWgkZro/++/9SrVdvu0IbUfq2krX0oDQ7gcreULeWIS5V/+rFYf/fdP75E5g8Vdmbz/1+0+23Y7i2TIYdwMBSGyK3XK2iUJ9dEl1Ai4jMDSE4RDDAzIb5EtBifbLJYD0IQqP0pnx5uY4nQYyEMAOGcLwmMDnpcKMK09q7FSunZtypy6060KnLjQV5pQmWgXMK1M+nfVFJpDYvlqJDD60BN8WfFcMtuTQEn2D9ywBRJH5jha6RuToPVNcR3rwwXpP3zXFnim2dfFQqV1B+ubS3TVB+iXYA6Tv1fVw13miVh9J9CO59FRlnqnsC40706pnSq0nVVoCeyIyp2qlZYuJ1s7gT8xKxxWjbS1uaFNbPbe1b1zz+4a9aOixLfUFtssUVkj/VL5Eeq5aUVXV1A3TNGmWuUT6f/qnf+J5fsXIeyfSP1WqU5r2a+WILfvFciRU59vG9x/v/OHe9jc3nJd79qvr9VfXtyY7ru9oq8VGyxVO3dqpI4JNRq+htlzpxKyd6NW2zh9b4iOJXiF9t6GfWdKqiV+a5RlrSK8ApAfOOUukr13ySlSppfBNlQfW9x1Z9HQpUMRY5If5/IIqzNHcNEMuEGoGES/JAmjKF9n8lMpOSCpQq7EhjXWxp1baZq2/pQ4NMWLLA4IYIdgMxhcYNcaIAM4MIGiB4iOUGOJkRJEhRQYUFuWwBZf/g8S94rg5Qw+ylI+hAX6J9D88k38f0l+a1BI46KHPITTKk1022y+QwFcnJBPO1ARBJzAyycBANzVOp8dQBrCjYwgGDOrlYY3+VKR/m2M4I8k5RQ0RfAzjw3w+UKu+Kw01YSLVYrE64rlYqIz5pOIaN6ly01plLtQmUm2k8pEhhbbi2WrXlFvaT0a4/yHlKp67bDi25O6W9FNfh46jeqYSmrJvyx1X9OvyQOVHTOl1BllspmfXNi+uQd9uIN9cg883oFkKOk/BCdgD1j2cnsDpKZIBMD/JZGI4A2zswGVuRJAgIBEc0yBa9Af86gckMs8gUyq7KBd9lhqTcIyii/cj/Up4ssLmCYJOUQw09DFJAToeMMkfEz/EM02mbsuHObl5oOgAw/s4EZRLfU1IkP5n/72/Ve1GrV0XwMa3a2mgs/9BxF0b/LgKgPOuLVzKVn9c+XXZc8R1yatnKp6pgC0AYA+smvuu+X7u/ZtIn8htLLFvC6Ej9m2hJzFdNhuVsvNcdoqgk0wmzkBDCBuguYgqhoVyv1j0ioUwR0UoFqcy083ULJOaIvAEhUcItNiE5ml4nIZGGSimiBlDjytsxJbPS/QsX5xS2QmMTD64Nv9gY7GxMb32YZyCRyl4DGNTgoqz2UEuOygX4grdkdmOwvVMfjm6UH1L9XTpfUifjO7BbiVB+spXIvMW0i8NXl15BfYtR2nbitcwoj33kUQ/FEpPNObIFV4Y1UOZOVGqLU3wdCGhDdZlYCvXdMS2I/W06sBVZnv24rr7ct/95nrj32/t/u/b119/vDvZt/parc0VB6XiqFo5L3PPZJpnGI5hAdJrmgaQnuHoS0bev/zTP4uiaJomQHpVVR3HEWWpwnJMja0ypevl4jNFmJbKgxobM3SXyXvV0qtd+98/3v/21tbrG/VX+87FrjXfs8fbxsDVLlePjgx0Vi1bbDrimS0A25wzWzgz+WNH+lphH0jlrxW2u2N2HLVlyZdD+yWjoVM32q5+5monhvRUqz1SKw9l9kG1dKgLT+XKU7lyrMstXW3rclPlj9XaiSGc6kJLk3qK4Kli05R6mhii5ATClw5fSy3vm9XGkV6OCIpZv5Tz6XxUoYc8NxIqUSkbFXAfywRoGriDAQ+cAUF2cOyERE8pzMsSi1LhP2qV/5Rq/1uofUuXJvlsmKOCPBVS5BgjFtCVTuj9hiFrHTOQ5K2G+UD1NKLeiBG7hF4YGUPwOA1N0+npZmq6mZqkNiapjSRvNJFTJ4KoKYLOUAwk3V1x4b0aULYuDUgMz5NNwRAnAhyLUDwkyCifjehcROeiUj7KZgcEGRC4h6FdBO5hkE8gAYn6BOLhMPirbp70uGIoV0NL9IC60haTzKHlUfU22+hvuX5qG3RmC76jhLbiWULL5tt1wXfFvsl3rUrX4TuWCIjQfUcPbSXU+feesMtzFlTfkiNDijRxWMxHKDZOIxdp7GITnW0iYxgbotgAguIMNE5DwzQcwBkfgyMMiuFMjMIrth1YPw1xYkhe7uDX9/ExigJJG1C1xTgxIsghSQY4Bh7OCEPiLBlnyRBDVg7561fJMYHPUOwcxkYUEeMYUFgNSGRAYGMMm8E4YMiuyC4THI9xZEhAP5VZMoaxEEH7WbLPlQO16tty4KpdO5k8+bYM+Gi+pa4Yo/+l1TFV3zEiRw1NOTD4nsl3baldl3u2EDhS4Ehdo9bRq11b6DSUM/dybO6/Uwv+N1OhrXi27BtyXxYDRQTjpYEpTgx+qlbnPDuji5McFeNYiMIBnFoJPSIc7eWIs0L2uFA8LRT7JDmE0flG5uVm5jydmqY35xD0CsVepdF5BplsZmbX0sONjAdBPQQepuEBnulD14LUB4P0tQmUmkOpi0zqPL052tyMNzbijY3xRjpOZYbpzACBBzjaw2GvRAY8Hem12JIjQ+oaAuDrXWEqXCrxlpGJHUNo6gLo6R/I7GOt+swQji25Uze6DR3kCwNW2WoT3bTlbkMP992vFO6BzD7WuEO7dmLWzkz+2OKfW9VjR2huKe0tteVKTUto2SLwzxk40sBV4i19umtNdszxln6xa317s/H6TuN8y+hWy16OGlTpqFxcVIRnUo1nmGqFZTi6Uqvqum5oumVZZeYvQPpOiQqq5W+v1//t7t75rjXb0s93rdfX3fmeDVL2Rg0jauh9N1FhAivBM5M/swVwYQF14spfK+wXQvGxzPR2rV5db9vKpdf9GtI36/qpo74wxKda7aHCPZTZL2ulQ104UKpP5cqJoTQ1pa3LHUNaN8Q9cqSWo5w6ck+pxQj1LZpdEOQMxVaO9KsCfwJUOhOSGgFHPJIcZKlBlgqVSiiyAVf0itlBITfMZUEYQ0iR/SzZL+X6xXyYo6aF3L+x3H/Wav9Zq/2Rq7wql4b5nJclfBKPQHrsXwnpwUm67mibfD5y2dODdm0CpSZQKoH5dHoJ+ZduJ8DVfIpiq8H+FH2H4c9qxhAndrnIeOkTHOBYjJEgbToksYjCI4ockuSIoEKSCHDMx2AfgwMc6RMoqAjFQpLoZ0k/RwblfChykaUEDQ3MgXrWpeD+Zz+8/sJ621lzvUD8cWgr/brW3VLPXKnjyv265tti8FOO9RXSJ4aattw3pMiQhgLbL+VCioxJCsDwsJiP6EJE5+JycVwqDsqFPl3oM7lhgRoT6GTpizeGsRGyKgRoO9cLDIHArXHlqAPSSGcYPixmB3kywJNmPYKhK6yUGF9l5CBjDPkmjb1E8AVOxCS1ZOAjExydYgiYOQ0IAPb4D88S3lcLjIpxIirlh1K1bwrecgXbrUvdutKtK0n6OwiAr/+XI6hf1zuW3DYFzxGDevLLDWwNJGYBTnhY14I6iKX+W5xpra/t1xf5Z6501lC7Db27o7d3lK5VC3lmlCdiiohRdJKBpylonoYvYOwlgifaTigzQGCPwFoU3s5SXTIXQEicRhebyGITmqbTYygDzrTJRnq0mZ5k4FcQdg5jQxQZIOg8g41hJIbgGIKnCDxDkdUSKsaRGIUnKDxHkHMEOYdQsLQ634DmGWRE4hFbCnW+01COtuUX++rbfcXbCmGQVQ8YeQDpD3QeIH2nrrVtpeOoV5Ae7OnDffeRxD6QGJBPn3jkudKJKx6ZNdAAJ7yluurXVc9V+rYw2lJnezaoxb7z+kb9+4+2v7u7/WrH8XguKOSGFToqF+ccfyBW/yKkp6vMCulnZTrp6YvUgGf+7eb2Hz+5vtgxx1va+a71+kZ9tmvN9+zz6+75dXe25052bID6ILK2bSY/W9MRgfv9iSs/lpnP+cIjie7tWl7D6DiXtjkJ2Ne1biPJAloh/YM1pD9QqieGcqbKLU3qmnLbVoCk3rfUli32XbXnyL5UHSL4AqOGOXJAXuXurmqKoHMs6SSWGZ3EGCMGuVxcLsUMPa6wcY0bMmUvR3UJfEhnF2zxu1rldaUyKuSH+dxrmvkPtvafXO3/qfL/WqlNyyU/R/YoPARu838Z0gMsXyH9ZZO0HKrHSzPdCYJOEXiKJLy8VU+fEK2XhKx5Gl5A6BzBZig2XUqkgHvuO8lWiZk/gY8xBFwOgBnZBCcT7vQbiXzkgCBWqLBCiyGJD9Gk7QtROMSQIV0cqXxoK4kmeA29fhgp/8brnR7a6wUkiJ6pdBz9pK49c9SnlnxgKl1T9R0trGuhLfVMvmOJ4I3wvq+zjvTJC2hJgSnFDS0yhFCuDpXaQK5GSm1oiENL6pv8wBRHpjS0pL4lRnptxJUnOQq43w9RZEBgIUmArJEIQ8bvqQVBAsVpEoq4dNoJq8U+kwsoDMwDBhC0zuNbLqSQAYlEFBrlsBgn/Cx1UioclQunhaxHkSGJhBQ0TkQlCV10ZbHyTp/HH8prgLE+ivbp4kAXfFtsm0LXFEFo9bKUVbx1y37v7OS9r//bYefvmUUlY2FX6lh8y+Y7Dam7pYJZfc/SnjnqU0M6NOS2q/e3zMBRAK/lZ3+S3/fzgksJSFztWdLIVLq21HKlbl0J6rJv1kI2P0HQ0bVr8cbGZGNzuplabEIvU8jLFPI6hc9geA5Bk0xmBKX7CBQgSIhgAxiLN5F5Bl+ksWkKGqUzIwQZw8gonXmJYRMYAp4Q0xQ0gKAJgn6LkucbyOIaPP8Qml2DZtfSk430LAUtMsh5OrVIbc7TqQUMzxFkAkNxJj1Kp6YQNEmlBpupPkn0pQq4bP2AxiFwFJCZBJD+VBcO3kT6I1Nqu6tIm8vt8zrS9/ecdaRv2WLPkbt1pVmXTy3+1Ki1DN53lKihD7fNeMscbpuhI052jcV1d7ZnT3etxb5zccN9ue/84ZPdb/bqvlAJS4VhhR7QpRlbeypU/gpIf4MurSO9V8wNee7fbu788eMb59fd+Z692Hcu9pz5tnmx53xzc+v1R9svbzYW+858153tOLM9N2roni17rtKtK01HPLGFU0c8skXQ0z+S6O6OCZD+qlahrrW3zFbDOHXUY0s+0Pmv1MoVpD811TNVbqpiUxfAKwiO0a7Fh3bCtO+TwE8DnS3NN65Sdgl8iELAFhc44648vC7S2BwhYpwISSIs5gal4oguzyvcebX47zz7f0TxP6q1UanQzVPDYuGiUP6uVP5jpfqvNX5Gl4M8FVDEkExmj2sdyZ9G+rdPsQTISSLGMZAzu27Fsw7PYwxbCe3ADXclm06cUNPwLJNZwPAMRqcIChQs64qpdQ0VKECliSliTKDgFjKiqEEuC/65GYrNUCRZqmHwAIdXr3N8ud1HxgQ6InHAox5DmTGMAK1zV+HePh//203vr2Zj/CDSd5Sq72hd1zgwlc814VNd+o0h/VLlDzTl2NR6jurbYmDxPVto20rL+RNI761bqFpSz5LCugb+ahWADf63u7XsG7a0XkMNDD5iy0OcWFxLzdOZKQIIHMSS3Xmp2LxSEY4GOBKQaJjFwywO8HhCEv1Koc/kgInkGMMAiwqsmUDw3WrTH1F4lCfDPHNMM19y7Occd0BznULZz1I9Ck2Yeiiw8UFWrMCViP/HIP2YwCOcCHPZSOAGruJtKe263K0rQUMLbWW9kjBTS1j3oP0xg6X1pvZtjfvbKtOuw3t10XOlniO3HOXU1Z5ZyiNN+K0u/Ubhf6/yj031xNE7luwb/MAU3sl+/xu8AY9NPTClnikOdGGs8sNaeUygi3++Nt7cnKRSk0wGtB9TCJml0dkmMkVQAPags48z6WkqWcYvMklCd5xJTyFoAcOLDLTIpCdwegJDYOY/pNABDk/T6VcQ9jKDvsygF2lkkUHOIfQCxl6hxKsPUosPr802rk1SG6P0xjCTGkHpMYycQ/DiWmr8LxsRhoQi67uSb8uR9t7ZSR9IDd3E8fNUF54q1S8l5kuJeRvpV34wK5gHSB/s2o9F9iuReaJyRzbftJL4t5YtdlyxY/GeI8Zb+mzXArXYd+JtbbpnApif7JjTHXO6Y0629e8/3vtuDemHbGnOVQ9E7q+P9N08FVWZ7/cb39/ene6Ys13rYs8537XnDePVnvvdR9vffbT9+kb9fNee7TjzXffi5vZ42wrrWr+u+XW16Ygg1O6FJYA9/WOZ6WwbSdz7ctsBXq9mXW01jFbDOHO1Y1t5agoP9epDhQNI/1yuHijVU11p6XJLE07VSscSg4bi22JX5L4tMi+LdCRV+q4c8LRXyTdpzMteUtCvQBrQDYNaqYwGBDbFEJCo7eFwn8KGOfK8XPy+wn1Tof9vjvs/ldq/s1y/kD3J4c0c5Wdzozy1YJmLCjcpl8NcNiSJEYaPIfivgvSXzuHoG/v1lRD5cr+ezCrgKWjxIWiF9ADspxAE3mCjDDRCkClBTClyROKgL1/fywIjoJUj75BCgWP5MJ8blAsrM7U5hs9QZIwhiXkw9sbIAVykxgQ6yBIxRUwJbI6hYxgJcKTHFnpa9Z0n5n+jfPH3NfG9N9U7q4/bptSpGy8a5ueGdE8R7qriHVO+bcm/VqUvDemZLbWAhMGRPFPpGO+98bwD6R0Z0B26htCzJNCOAPTqmmK7LrcdqWPJZ5Z0ZkkdpeqX8gMYm6bTExia4PiIIkKSiPDERmJI4u8uIklgGmSJle/NlCKDPBHliD4KAyubAQIPCKxPoMspFDLD0TmCTBC0T+BennzGVD4XpY9t/YZj3DXU3yrSpzL7K7kwxMkJgs9gdIrAMY6AFT5wpvqRSA/eGn4pH1TpyBD8ugyMHNqO1DYFIFgHu3mQerJayiYas5+yRVrp3FaP7uWW980VTG9L8F2xb4l9S23b2oGt/tYU7xjVO6Z015A/1qRfadKXunJoKW1b6btXRd4/+913fYHd1nlg/OI7SttWWrbo6cJYrE55bsgWQhIZbmwkSQpQZgRtjqB0DGcmMDKFsDgDzTIZAOFzKD1PZ8430q+upRepjfHmtTi9MYXTcyh9nk5dpFKv05n55sYESsWZzTiVmuDomMnFJWqEQIP05iC9CYB8BKXjTHqY2hxsbgDl0QROT+H0NL053Uydp+DXGWycTi82oelmZkiSfZnzXcmzhEgT33l58h1lhfTAEPdUF56o1S9E+guRfqRWnmn8ak/frKuJQd4ymK1pywDpvW3znUjftASwphk1tMW+83LfXexY57v2Nze3Lm45s31rvG1Md8z5ng1uAPM9+w93dr/bqwc1LioXI7Y04soztvJUYP98pOcY9geQ/pu9+jc3t0Z1dbyln+/aL3edRd34Zt/91zu7f7i7/fqmM9s1Z7vWfNddXG9MduxhXQ/rmu8oIKj+1BEPTf6Jyj2U6ccy097SV0gPdmadunbmKqeOfOpqZ3X9rK6/D+lPNLljqh1DOtOqXVsIt1RPr53Q2RgjAwQ9LWcDRxqptVjg+iVqhEBXPDcSQQ5JrMaSU+xS+TNFsRGeiSkkymF+Dg2KuFcigyI5YPKv6fJ3pfIfyvR5qezlyZMcflbItnP5oJgdMaUZx47p8qCQjygSID1wr/szkP7t8yt+kwMfr1Ga1719ks8BY1UImUPQOtKDcdYwtRltpoYwPCGJMZUdEEQEQ6trxPq/MsLQCEf7BDogkSGBxRQxzGWjUh40W6v7E2joByT0JssaXo1MBgQ2IvEphc8JbIDAXQzp1krhlurbomcJPVvoWnzH4nu24Lv/nVJuwSg4wYm19Jr3IX24v31gKr9Rqr8x1c+23V9vu3dc7boj39SFe7r0hSUeWlLHUfuuGtqKb/zk7ye0Fc9KYrsAZRrEnoJ7QFsXm7pwqgsttRqwpYik4kw6hmCQQx+hWIQCnRv6biM8BJ3g5BQlQI1hbAijQxQb4gQgvQ4QGDw2IBkyXC7dhwRAemwIox2SPC7mP63xn1rGr/a2P9neumta9xT5l7LwS5Vv5fMBmY3R5fWRRAYENsDwH57ev/3W7tQYX6kBqt0qF66j8yBRs20KbbMG8kNPbOnElkACk/fjkR68yMsC/wmwKF7Fo3nrSO/WfFsYuFpUt08N7VO5+rEl3r/h3t8y7tb126Z6S1Xuq9IXpnroaM26egXp/3aqZ0kdI1mF9Otaz1E7huBVyyD2s09hfQIdQNAigywyyDydmadT83Rqmk5PU9A0BQ03UuPNzVkqPU+n5lB6kYEuNjOvNzLn6WuT1LUY2pij0DmUWWxsTD/4YLJx7ZsMdI5AcSY9uHYtRuEJm58y+RmOXsDQOZSZp1PTzY3p5sY8DW4P0ACCYjgzg+EFnFlk0tN0epaGZzDez0AxisckNaBLfa0GVMGR/UN8GuA+CQhnoKf/QqQ/E8vrSN+pa6eOfOLKbVfvbVm9LQtIxlqO1m2YvS3rkcA8FGgwvW86iQqx58iBI4V1ZbJjXtyoA6S/2HO+vbX9h/t7r2415nvW+a79ct+d79lgfP797Z3v9xt+lR2UiiFTHHHlKcM94Zm/MtKP6HKvkI2qzOtd9+XNxqihzXatix177uoTQ7rYNv9wq/Gvd7Zf33Tme9Z015rv12d77nTXibdMME5cUfFfWMITlXsglR9JNEB6APCeq3kNo9vQTx35hSUcWfKJo5662gtb/trgH2iVL5Rken+o1ADStw2lY0hNvda1hX5D8fVqi8uHBBmheK+UC+XqgKMjttQrEhH+xpT7jTE+lrT7K27RDMPnOLHAsTmBjTDUx+AuibRyRnkIwAAAIABJREFUeKtEdarFWYEeF4pxuRSWCt081c6TnXyuk80HxeygVBzT5bhcCgv5fpYcEEQMPLz+YqRfeYqtNHiXf4u+AfYrmE/AHr5E+oSvl8lMMpk4lRptpuMMNMHxCUkNcWKAwKsvu34rSkyqgd4JRccYNiLIiCInOA6SQ4coNkSxIYrEOBK/wZEGWcBJAfdysHaNMKSXI3yJi7Y1wIX2HLG3rP9e0XbvwPhle/3unn7b/VIR7ivCF7uNg4/vfHXz+v26ccMUbhjiHVP6tSk9MMUXtgpYWn+e00vHEDo639ZqLbXaWbL3e47sWVJXl1qGeGZJTUvwZC6s0FMEnUDYJINO0tg0g09hYoLgYxiLUTxG8RGCDWF0vXwYDhE0RpPPGVHUoFyI2NIYw8AEKFnhY9gMw8cwMkXQEQJFGBSj6AjBehhxWCw8Erhf7ju/ub392zu7n+zVP7K1j3T5rirfU8TPa8xzuuRRQJ6HgPslcM37gXrbZxq07JGlRJYSGdLQUmJHG1qK54jAMdPTa54udE25a2kdRwfOqZ4tg47/RyL9emjTyvqw92Y2mgeiUY2q70pewzh1za90+TNdfbC/dfCru5/t1+/XjZumdl3TbmvqrzXloSE/s97NEfsZO/v13cRqVd+vawNDjTSxTxdDCO5noEEuG5eL81x+nEGnELKA4QsYegmlAdiPNjcnm5llrGIq2TCm4fMUfJFJzaH0BIYmMDTPIMAKIkQzr9LwDIZnMHwBI+cYNslRMYpOP0y9SkGv0vBFGpqkUnEqM0HQKUHMKWqC4GMInqcz56nMIgONIThE0ADD52huUWQm1WpfqniW0K6LZ9vS6e77f+RlNFfTEgDSH6i1BxKzQvoTW+nUjWZdPbLFQ0vo1A1v2/a2bYD0bVfvNsxuw/yKp78U6cca98Lhm44IyHeeqwSONGposz37/Lq72HdAB39+o/5v9/e/vbP16rp7sWPPt+35tg0m6N9/tP397pZXYQalYp8uxBX6vwzpSzm/Ul5smRc36rM9++XNxmLLHMjVvsBOTembffu7W87FDXuya8S75vR6fbLvzvfr011nWNdBXhCI5j2yxScq96VY+kosd7aNXl0HQ3u/rgOkP7Gl50btuZ6A/aElPdZrX6rc5zKzQvpnam01vW/qtbZZ8xwhMvhAYptCOaoyA7EyEmohhg8RfEAQ5wR5xU9+hWqDbMIgAxmyAwyPUGyA4SEKxzgB2HljnBpgRIiSfZyKcqVuodgqF5rlbCtH9EjCo7I9kgooIsxlh/n8oJD3clSHwnwSH2SJvxzp191D3/bPvzLPjJdWJyMMBQmkszS8jvTzdOocgs8heJZKTzLwHMOnBBUve7KYImKKWIXuDAnsnKSmRCKIAiI9YEwNImtBLzjC8BGGxig8QTPrSL/aiQxweILgwEV4gMBDkhyypb5S7VlS3xIDRwrqctBQ/Lrsrcl5/3vUegrtpb5Zeh/SP6xWHmjKk+t7x7+8f3zvk0f7O79x9E9s6ZYt3TGle7r0O038ShePbLHjil79TzPFroQEtutyyxY7lgjAvmMIK9UruAGc6sKRzR87QsuodhWup3JdkW5zxV6lFPBMIHI9iW2JdF9gA57xa7Rfo71qeVWDKjOpcueVyoJhZxw7FqtDQwxtaYLjU4pcmUBMEfQcxs5T8CwNDzOpEEqFKNxH0bNs9qsq85ktN39z5+z+rRc3tr+sm/ct5WNbvWtptzX5tl75PU+fFrIhiS0debEYfUMC+ieRfkISYUP3DbGvCUNZGIi1kK9EYi0Sa32pEopcv8aEFTqoskGt6ouiLyt/BtKvA/y6z7z3dmKKIYSWGDS0I0f5TKl8airPb99o/+p+65OPv765/WvHuKkpN3Tjrmn9UlM/06THy3SZK1/t591qdU2xYwg9SwIYD55nT5d8W+4r1T5bHNaYqaOcu/q5JPRxIkKxGM6MM5vjzMYY3oyxTIwj5zAGzp85WCPCmTgDTVPI+ebmDEjtN6FxBpuT+SlNR5XyNwg2haA4lVpspheb0DCVnmykv/nndAhlYoqY0eVJhRnWmFBkfYnzZC7mmGE+N0HQRQZ6mYIu0sgkjcUZos/XBoYauDrIrwO0xx9wRwYSu6YjAqQ/M0TAvQdI/1wXziylUzfOXOXQ5A/0ardhBruuv+N06sY60j8U6C+E8lca+8yundjCqqcP68p425jvO4D0Ntkxp7vWZN9+fdP55pb7cs+e1fWJo8+2rMWONd0xv7ne+G6n4XE0QPpJjf1L9/Q8VwFIv1cqHGrSOcv1ufKALnl0ocMWpq52ft2d7Vqv9txzWwu5sscVZ5b8/c2tb29tLXbM+Z51ft1Z7JiLfQfsGOK6Ae7Xvi13DOHMEA8U7rHMPOCL3p4NdhudeqJ4aTnKiS29MMRDQ3xhSkeW/MwQvl4i/QO+fKgLz6TKgVI91aWWfhm75C+pkqd1Kdw2Qrnay5IRoJJlyXGOWl/Pj9diZOc4sUJK0HdOcHyCoAkBbenDPMLwCCcCDD/NUyc58iyLdykiJIkhTgwwPMCRdp7sFKhOgermKS9HBeBvSTKhKONIjCOAhw84SjEKT1FstqT9jzFsndH2k+4Bl6hPECCaD1iPLdV3bwSVRnB6DkHfbqa//XDzYjMzQ7EJkY0xcgERE4QYYERIkCFFDQhykEEHG1CEbIYYEhLkkKTGGDbFoBGaGqCpKYaMCXxEkH2cCAgqpHIDKjuisuDnBTekOZ5dYNQcJecINsHxAY4GBB4Ucn6VDXTZd4xe3fQsy7Msz7F91+7ZetMSWjbf25ICUwgcqefIbVtp24rnKmC19nMdc35dBzs235V6tuBZgm+LgSl1XQ1Yl3QdvutUuw7ftYWeI/qO1rUFz+IjQ4h0rWM7h67zhaneVPnfNez+7z/t3rt3cvujx9d379eNW45y09VvW/InmnjfkH9pq1/YyomtDC3p1OVbNp94m9iJTcoP3IRW0+OOIYApKwAJkP3Y1GvA/wtUxxJPXa1pyx1D8GzZr8t+fbnvr4u+LXiu5NfV0NZ8Q+wComtd75pyp0J7OarPlgJH9HeknlXxC9ggh0RZeIohLzP4CEGGWPr15rUhkrr4v669/gAdZnLdLPclz9+xhKN7t+IHv2l+cvP57RtfbDV+ZVr3TfOuqt4zjO2G9Jkkf13hu7nSCIP75OY5AkUU+TbMX5nkX0F6X2R6lWKHznlM3itmvTwZ5KmolB/mc4MsFVJkSJE+iXcItJcj/FIukriRJQaO2GvInQbwz1Y9S+pbMnA4SfJjTAnYpwN1ftcWOq4IfO46rtiyeV9l/LrsG/LI0DqW2DZrsaU2bbnfsJ8Z0u9M8Y5a/f31hv/57zq/vn929/bD3cavHeOOZXzkmDct/bap3zfVXxvK17Z84uierQem0rMUsFx4x1Lgr9Trr9vnrb7y6rLyA1//0tehrnYssaXVOobQd9WFLo9ZZoiTMYROYXwKIZPNTPzhZje92YM2wvRmnEotUpvn6dQUTo3Q1Dyz+TqdOd9Ih2moV873XdXf1tumcE6Qkww8unZtvHltlt6YZzZnmdQCzkw+/KBPIV2Nae1IzS0JWA+1HG1gqLHITwvFKYQATv4UxmdUPqqbUd3sO3oS4bOktrz3NXE1YE/b0isdnW+b0qEufKVwX4I9vSEc28qZq5046qEhPlWqTUfsNJReQwW9a6+udxt6e0v/XCh/LpQf6dxxXTytS01LAIriUcOY79kv992LHXuxZc63zdmePdm3Xt5tXNxwF47qMfmoyiwc7dtbu9NdZ37dXtSNHkcHueyQLSU9vVypMaUKV6bZMlvhNEU1Vc0yTJped8N9D9LXWI6pLX3vNWnBsGGFHrF0p0B16PzMUl5u2xNLGeviWKrFQiVWagtH/fZ6/fWN+mzXHO/o8a4x2tEX+85835nvO6MdK3DVXkNt1+UXRvXYkR5r3AOF/lIs9fbtlYC+ZcltW2na8omtHJkSgPljW/kBpAfT+44h9SxlhfTDuj6rm2O+EuHEKINMIWyeQc7hN06ElZg+RGHgzxWvZcmDSNYxgYJR8xTFlqYiRIQTXYpoZ4kuRQQEPsSB3wgaYUiXwHsk0SMJn8QDAu8TONDfTwlqyXEDQXNXtu8kcCBJMJtEfzzGr5B+9fF69EiyYYWR6ZvxZRMYegUh30LwKwiZZYlhtRQqlb5S7a0ZYvctMVJqYYUOS4VRnurThV6N7tXoPluMStmwmAsKuRdc6bBSPqjQjzn6K5Z+xNBPWPprpvykXHhWLj6nS4dl+rBMH9PlU5o+pUvNUrFZ4c4U4djWnjT0z+vaPUe+bQkf6cLHlvwbU/3C1J9Zes+2QsMMpTeipVZnzc+4s7xyAvp1NWgYbVvpGXJSICQeGI1Zqm/pXVP0HCHcUjuO/kRXfqsKd+TKPVP+/bYTfP67zq/vP79147Mt5xNH+7hh3HC024b0sS5+Ykgfm8qntvrCVgNHablCN7lYyOussR/+blf8qdUr1jaFpl67Um1TaNryqS6cadWmVWu5QrsudlzRc5WWWWkb1Y5ZWzHOgMfL0K6OxPKYQOMPr4XpzV4ZD1hqkMUmCDGD8RGCxBA6TaF9GAnQ9OvNzQWEhyn4gCndk+h7au2OKd11lNNP7gS/+/jkkxvPb9/4rFG/ZxifWOYdXbtrqPd0+bYlf2SKnXxpjGG9bDqkoClKvK+bX9njrxNZhijik7iPYz6OAaeHCMUGCDpCsD6KhhgWIij4oE/gAYF7BOYVs1GNDtRK35W9LQV4qvRMMTHVAakwpgA6Fs/VuqYMcl2BJVzbFFqW3LLkri21d4yurYSm2q1LXVsIbeXYVp5a8u/Uyj2jdktPkL79q3vHt69/udf4la3fMdVbln7DUG8bysemct+QvzSk57bmOYZnKl1T7NpCcgNbA+af9x0BKlh55LnK6jvsu2pvW/MdxddrvsT1+LLHFX06HxTJcTk/LFAhiQyQTJwGK/bULJOapDZmqc15Bomz2Uio9l3Vc5W2VnuFZecZbLKRnm+kFqnNRWpzlkovMtAonfJzeEdlOw2pW1d8Rwtc3XfNk7rWsmRPq/YFJqgVPYHuqZWeyfcdPbA130pi+lZiy/e+g4D5m8G3tFrXENaR/iuFO9B5AE9HlnxoiM80HmTRth0JyOu7rtZt6N2G/qXEfC6UH6nskSucuVLbkYBxwnjbmu6Y57v2q+v11zcaYFI+3jP/eH//mxv1iSF6TD5gS1NTfrnfGG9br6+757bmcXQ/nwNIP2MrTyRuhfRctaKr2k9AeuCcI1aYlXOOzxQHdMkr5wOmOFOEhS7HQiXkyhFbXiji64b53Z77/Ufb397amu1box19fN2af1T/fr/x3V795bY9trVQFwNT8my5qdcOXelLlflMLj1Umd6+3baVjiX3HLVpSi1LbtrymaUcmdLhsq0/0Pl3Iv2ZIbcNBbzf1pHes+XAlHo1tlOgfBIfYHiM4jNsmapOEAALVyt5cC7EeCJjWyElIMwvZ+ZEjBODZXByn8D7BA5YQkBiPkQRwGZKCkNWqvcJTk5wcsVsilEUxNyNKAr0Fn2SDAg8wnGgQ/szxvtv15jAE0YVgl5B+lkqvdhMzz/cHG5s+BjsszlPq3iWcFYXQPvYs4W+JUaG0JcqAc/MZWmiKwNHjgwhqnK9YulFofS4RD/k+Yei/ECSPxflz3jxC176kpceVMUHnPBVVXpUkx9VpIes8BVTe8TyT6vCc056UpUeCPJveekTUbwjyZ/o+j3LuWVbN137lm3dNIy7qvqpph5Y9qnT6Dh6zwGBVEJgCr4te7bas/Wf7UQzhZ7J+7YcuHrH0c9c7chRnhj8kSmc2MqJpR8Z+gtdOzaNE0s/sbSeaXRNuefIZw31sSX9ThN/7aqf3aw/vrH1YNc5unfr6JPbT+/c+Hy3cddS7tjKTVP5SBdv68JtTbxtKPcN5StbPXF0QFwAtm6Jk7mlhvZ71Xfvq1VPD+pMq4L+HuRPnpl8uy52t+SOK3ZtwXelviuHtjQypciW/LocNJSBI40MYWBVRmI5pohoM3OGQc8Z6pgrdvO5IcXGFO1nCz0y10dyPRQfwvAfP0ifo8UzPPupzN3f0r6+sffi5o0vG+7j3e2T+9cP7+x9/dH+7xr2HV352NTuWtpdQ/1EVz/R1XpDfFhjj0ok4OWF5Hu3WvEauxbU8kKPD1FsjBEzMrsgsjOMnML4DCESpywcH2PYjCQX+dw4S4LNQj9L+mwhMoSwvvSjBYQ7QByxBN/gA1PybLXramd189hWDg3x0JKOXfW4Yb5wjQNTeeaoTxr6oSG3TaHXkLu2cGqKDzXhN4bw6Y7+4M7Ob/esz/fqR/duvbh748XdG7/fde/Z2m1N/khTP9LUj3T5jinfNsRfqfJjy2i6pm/LPZPvWnzPkT1X89b6758X49eRHmCn5yqJttOWjy2+7Uh+stSQIlsaakIsVic1eiKyU7ky5ZlZKTvH0JcZ+DUE9VMbYTo9xIlxhR1ail/Xe5bi6dKsWBrn8iOCBAGkCRuJosalYlSjfYP363LgKKGtRY7uO1qrYXRdLXDVwJF8W+g5YmtLau6o4AqeXJtM8ccjfVvnO4bQNqXnGv9QZldIDxBqVUda7dQUwQASIH1vy+htGQ8V7nOh/FCmX1i1M1tomwLwvZjv1yc75mTbmG0Z821zumNOd63pdfu7G43v9+uvtsy5KUcCN1L5iaXMHOP7bftclTy6FBULIVcacOU5WzngWZ4tvxPpf+yeXuDo/VLhUBFmZdpnikOmHDDFkCkNK8yIpUcsPaBLQ6b8SpUvduz/l7n3fG4jS9c8uyImYiJ2tkqEN3QgPJDmZB6TJzPhvaWVSMpQpESJkkjCe8LQSFXV3Xfm3p3Zv3g/HBBiqUrq6uq+t1fxhkIkRRCO+Tuve55PSXUxJcjiLqXe5iOzjDrLqOME7WhSQxVrOrjUxDMUfhZ2HXKuYxjoJGmDSnPSK2KNynUV1qj8nohv5PBrKfQahl/D4DEMHALPN3L65n1bq62CAQFDLPbFcC/kHXo2hivLVxbbxGwbmc1skYwh8Po+hg7bwGZhGh2/9n970B13sBx9bLXPy+92273YjnlgM7GCObuFh7tw85T9XmFmaLOPnM7h8srItd5fX+usrTRWnU2Hveuwjxy2eUf8D6F9bJ+Lj7J2+/wxmq1fWJKzpbvZo6XJo0dXRtPVsmPsdl353R0Q6Ah+Fl0p2MVcTwfdmHyuyhdRUI+BNuXrfPjYHyiHuQgU4lROR0gupueS0UIiWoxHS/FoMRYpxCL5aCQfjeQ0LaXgOJLjCKSwGIVSRIGaijSd6BElFYtWUumdbP5VuvoklqlE4rmIHlewDoQMlvdi0TOVnKuoqYA24bqEWVNITZX8q65ofcK1YahFQFNF7xV4gsWXqvQyip5k5CdZsptUihrOEimDQYbwaRx6K4stBddV+IKEt+TQngJfFzP1o73aVv44pR1l9aNc7EUhuZ+OlhQpJwlZKDLS5yCfkYW8LO4R+aUK2cWIGWwz0ncVeUD+DtIvlqMaiJtftmC4JodqcqgOwy0CGkRsaqAbkwc66MNQV/D1OO+A8w84/8TnHfo9DdHbAf5RcGOwsdK3Ohv25Qvn6ju35wSCw4z+JBd/moiksiiTBIl4OENDW4L/ILDxfs3+6ZHx0uV96nZtY+55JtLZ3rza3XudTe7G6Zti4iirP01FtnVSwGIBS0UCigSkVLQnwiQVizCwJW78aHTemW3dFcuvp+5ZsFP1ldM+WXFOV5enq8tz0Winc+hwzMV97Y6hzT60MTH/z7/XM4fj2ukcW609o+HG6ryy2dsrjj7v7xO+hfm2InZVqTW3fePaJMz8mWpEekekA1U81MBTXXoehUcJ+ixOdygsy/wOAlUiHEqhYxhoxECD8C8QtyuGd3V4UknXnu+83cwdpfSTdPQ4Ez0uJPZiaplIRUksyaAAQQFLeSKmEV8E8AlBbymsU6GFQ20SblGxqcq/LrP/U+LXRaAvKvnf+Mb2fc+ofa/i0CJCF4MBkXsIdBDfV8BEhWPAD9zu93ZTw7fWk4N92d/xrbbt5oHRODGZu2vLvfWVnm9jIPNdVWqqclMBbQxausQkaZnvcB2HGiRcp9wVFHto7jffUcQ+lvqK3CJgQNCAyH0s9pDQQWHWamG9+c4vd2K/Xb1vKVyDhOuYayCugYQa4l9LoaeC95BzPxd9r+TQKeJew/BraT5SdqmIi316RvpOBHci+IUUYIKw70mYDYL0iNhD4CauMrm52xi5jqBpFM3i5DpJPsXIX9L6XzORf0vpV2JoEPT2fBujgPdnWZz6fe0N19Cz0fO5Br6NW3/wTcgX9rmDAc9D0iuY/F7SuwOekHcj7Vp/D8VPgWA/7LsK+uprzp5vY+j39DfWr3yeqd838rpv+fB1QrlLazcJ5TqCfkyof07qHzU0RUIHhTsofKVJ1zE6pnILhBpCoCkGa0LwpXf1hX/tDIV7CdrSYI2Cmi4zzDc01NDQBQGnUuhEDJxI/tcw+FL2HwLPgeh+znnOEP+bfXr28rBJKNae7GKuL4V6IW/f6xpsrLXXnJ315d76ymBjbeRaG7nWRmuro7XV8foKM+Qe220Mxg8vKF8s9owctqnF+jmfuF8wGzjMTIJmbppptcwn2px2Juo5tFtHVsvAZuk57P3l5d7a6tCz0XWvt1zr9dWVhtPeYTdu/xszxr+T9FdOO5PA+zXpZwbDtdl8a7Xe2Ry3dset3TG1269s1r7DOXAuD5zLPaezteJsetdbgq+LuSaCbUUcqMIQ8w1efB4CBRFGCClQuhmLPc5kDguF58Xii0LxKF98ns0/zuV20unNRKISi5UikbxKMwRnCExjnFaUfDRSSSX3MvnnufKrXPVtbvO0tH2Qym8mEtVsupJJ5qiSAVJBlPeRfESkd2ShVS62qNRU0b+K9AOF71KhrsinUDwEwgudvC9nG4+r3b1Sc7f0vlQ4SqSe0MgOotsIbsriYyF8odILDe/AYAXzR4nIRaVYe1y9qGbfFBMnpfjzfGwvoW5HlYoKywQWECxgke3WZ6GUk6Uqlh5TdI75pgIY6dn1t6vIPfzV2sZvyviwCjyD/QL5jPotApqK0FD5PuWvxODY7Ro5nQO7vW+xtW3Wscl6ZbTUViztFdvYau2ajV3zytmG6wXiztLR1u5W++mTy8ePP1Q2n0a1Q5VUVblIQQUKVRA49K20rZZjt/uA8x3q8CgXe1PNXlYLtXzmQy71qpA8TKrbEbwVISVFykGekb5AyJYEU1TclPg8DLRXNnpOx53lq6Sfe+4tOxaYH9qtfav5ank+adu3WVgwGYArp3VoZ7KVlonNMrKaBmbDwGz4s31tarG3bdZu0MNIzyiyIH2XCl0K6gp4jcWnSNiPK283c82D7cbh9vle+aiY2o2rW1G1hOUMBtsStwcDl1F4iYVdhduC4DgVe1fOX+5tfqgW3xZSb4qp55nIToLsRJQykcpQrCC5guSSIhUUkEZ8HqItjF4o0juFZ32TDgXzjYz/hGz+HyR9+7Pp+9wRp6vCDpWbWDyHXI2CXgT2kNAIeBqetY7g76liVxPaKNjmPKOQd8oFhhI/hEIfi20VNHRQ0+W6AppY7MhCTxL6sjiQxIHM92SuD/k+FtuK1CAiM4loYp75ZbSo2CKAHV5ZS4WdP7qK/JvP2zeeyQXp65hrIOECiQ9Jz8RzTqTgiRR8A7kP9LNszqUiXhChQaW2jrpR8hqGX/DuE8F9gcMdCoaqPFHhhOJrDX+K05+S2o8J9aek9nMm8mNKu47jmwS5i5ObCPyk41HYP/Z7rzZck42NWdA3dm+0N1wjr7vrd/W9rhtf4B8ifSAQ8AS9jPTvZOGjP9ANegY+d23NOeaDH7E0FcNTITTjQyytn0bRvxUS/zOf+CmqfFLRHQJjPjgK+YaejZ5r7crjvgmFr32B4YZ7uOG+8nibXPDEvXrkW3sPw50YaUXQpSZdRuT5DqKKWhq+IOCNHGSYfwV9f5P0DTR/jzYIf0ZCb1DgncpdRoRLnW+ofEedG0g0UaiDwsxKtYvCPTnUlYJTr2uw6hgwFyyW03/FgXveF7Taxva5Evhin21o/1wSZKRnsF/IwV7dS470nY7u2nLPtdbzuLru9bZrvbXibDvsXSZ4Z/u79b0fxsOdAob5mcnyRUJ/vWSYmIzs2MFOBl27pe2wjO2OmWOZ1TmvbPaR03m1vjb1uruC0JdCXeI/V8OHCsghFEM4RmklEt1Lp58X88fV8kml/KpSPimXXhWL+4X8dipZiUXL8Xg5Hi9EIlmNZlSlQtSyolZUfTMW30tnnuWLR6XKcbn6Ip1/lisc5PN72dROOrEdi1SpUpFxEcEtCJ5CcKZIDQ11NNhWpN/h6fmfFijYi8CLCHks8ZtAOMok6k+2W/tbH7aLp5Xcs2xiOxYpUZrHMIfkPAIFwL1V6RsFVaRQRYWnmdSHXOY4Ez0tJE9L6ZNi8mk2VtVgVUObKtpUUZngkgJLilSkUgHBAoJlArdVeIz49wpoUWlh/8NsAP/mHX54FXuY1rPq5YL0HSq3VdDC4W7YM1p1Xput10umyQ+G20eWvsU6WzLd/WDqWQwjs/nGYG5ZjKfrjm1xvZwWXu4k2vvl7k75opA5i0V2o/QxxZtELmG5CuVNWXge8vbsy/tB3xOZO44pr7Pxg1zkKBO9yGYa+fyLbHw3plQUeStCKirMQb6ApSKRi5gUkVTA4i4Qc1h4GQi886z+ZLRc/VIP4/Npe9nBSD9ZcU5WnAvSL/QAFiqQLMYr8+E+VupnJ+PJivOjfeXKYmvZrf2wb0jFh/62DPZdTexo0jsqHxCxgsXjVKy2Xek83qlvVd6Vcs+S0W1KtjSlqtIkhZuymJUCpxo6A0JB4bcpep1OnmaS4TWuAAAgAElEQVTTp/n0aT79tpA5zaf3U3opArd1UlHkMpHY3+wNkMNCAeESlnex+JIIl/fcXeSg//L2/OcnZ2GM+2B8pKkIDSSwX9gLxJ9TsRVBfR33iDgAoS4KNxWuqQldTeypYo+wAQjQVeSOJjU1UNdElsrXsXDvvSt3VdhVYUeTurrcjshsx4SJxs8VtZlG/b3A9mKiZT4Prgp/1wmppYSbCtcgfB0LdcifQ+FECu4Lnqe8h5H+BIWPYegYBBjpWY5aV+EFAYz0nQgexJRTGHwRcr0MrJ6F3XXe3xaDPZHvi/xHiq+ROBKC3bD3Sgp/0vGf4+pPUXKTIJ+S6o8J9SOFo5Bv5HVPvZ6bgP8q7JsEfB2ve+jZ6PpdA9/Gtdf/D5E+GAx6Qz7O70m71s9E7tbtaXrXu+71pnd9ioSfE9rHmHKroRsMhkFvf2N9GPL9RNFfNHIj8Vdhf9fr6vo2pmL4I5YmQmgQ9PZC/lbI1xGCHZlryeGGzJ8EN54F1t6gUE2XmcbQhS59UMClIi1IfyoFTiT/Kxx6BX0vZe896Te+ltMvSN/FQhtyPSJ2KWBo7ytCF3MtXWzpYlMT2qrwcHV7GnAPVh19m4VJzTA1um/oaTPSM7GwK5uVGcA/dPK4L+nPN9CY7ebUbp0LejtsvRVnb2217V7rbKz11lZ7K8s9h31gs1zZzGPrH5m9/6ICMTetMVlmJsv1vUvpPKE3mX40WWYWc89q7tjMPat1aLcOlu2DVVt32dZbsfdX7L1lW9dp7TqtvRV7f9XRd6xcOe1jl73BeQ6QnCNKTtG2VH0rnnicyTwt5Y/K+aNS7qiUe1HMPs/n9gvZ7VS8EotWYrFiNJrTtLSipAhJY5xX6KYefZxMH2bzh4XifqHwJJ9/Ec8cZwsvcoW9ZLwS1SoxfSedepLNlpPxgkqKkrgPpTMVtSKkQ0EL/9365P+saKJgXZWONXkTgzJFT3Ops2rxbSHzOpt8Ho/saqSqobKKC0QuYlRWSAKLR0Q5kkAehAo6fhaLvojqT5L0eSb2PBPbi9O9OK0o8rZONlVUJlIJkQKWCgooKVKZwDKEFQTKCtiB4VcE1BWZybp1KGio4sUfutA/FHRbTOb3KOypUlsOtl0rV0bT3Q+mj4/M00fGn34w96zmqdH40w/GKwNTOzFdrNpOPO5d4NtJSifV+OVO7nQrc1CO7ha1agTtULhJ5CKR8ximqbxD+MtwMAe5FBW2I/hZOrqVi25m9MN0YisTexyh2zopKdJWhFZUnINiCcsFCPIY5rG0LYlFJKUU+FjgjwPuhS3er42eF4ZVjPqTFSc7VTO/5oUQ1mJQZnE7n9UjWEnAYh/Y7Z315aEUHmnSoijdoTKbRuxo0oUKXmBhU5Gyuvwml7molt8VsseJ6Mtk9DBCtxS4qaKKghKKXEEoJoWPVXoc5mMkvKUpzyLa04T+NBV5lo4+S0b2o3QnolQ1tKXhiiKXFKlIQB4JRQLKRCoisYTlPBLKSNjHwlsCmgpoK2Lr3mf2/w8b9vO49wJ+KCfQomKPiCMqj6jcxUIDzZWLuvh+l4EIXQpGGhzosK2CS8o3IWhisanMF1tYBaWtiG3CtQm3mHW9P17wHW2u9NzT5M91+PvVx1+oHSO+g+5VOn6/UAflmLdkDfE1KH6Q+RMpeCB6nwleRvpXmDtB4RMpeCqHF6RnCu6XitRU5V4ED2LKa+B/4V879iy/C7hqAXfd7275fW2f76MsXYX9Hc96a2O159u4CvtvJP4TBh8j5H+mo/8nn/pJgX2/u7WxOgh6r7jAjII7BLohf39jvedzDf3ua6+f9el/k/R/eyLP55v36TMbrneAv/N4OwH3KOBt+VwDELqLK3cp9ceU9mOMzgA39HuG62tTr2fkWu+urgz9nlHYP5X5P8fV/52K/UUjMyj0hFBbCndVqRWVPyhcXZWORe9BeP0EBT+oIpMSvFDB/RPESC+cSoFj4DtBwTnppY1D4PmC9Gwi7wvS12G4LofaTKkRBS9JqKELFxo3VOUBldhrz2JApRGVx4GN7rKtazFdWSxsYm5stw1sloW0zv01xcLKffONOIdzbHdMLfapyTYz22dWB7N+Z1tz1xbHtWWuI3ZlMU2t5mur6dpqmVhMA5ul73T0V5ebrpXO2kp/dWXgXB7ZHUzC9spu/GOkX6jczFfszJaZyTI1mq8N5pnBMDMYFqS/MRjHZuPAbh06HDOrg+X9c+cos2VsMrP+xcQxz5PaNtvYbLyxmTue9SeiEMckSnFRw7vx9H46+6xQeJ7PPcunn+dYZI/K+YNsejeR2I7GK5F4XtHSkKQh0VQloWl5Xd+Oxp/EU4fx9H4ivZ9IP06md+PJnXh8OxapxvSteHw/l3+5ufVkZ7OYjKcAKPP8MUF1XemqUu9fR/q+Bt6g0K4UKhJQiqh7mfhxLvU6nXiRiO5ppKyAkioVNClLxCwU8xjqSDiA8AWQikjM6KiC5CoClRTZjau7UVom0q5GKghUKawocgGLeQnmoJjDQpGACpIrslSShSIWynL4OQE1inpEGihCRxVqqvCefPV5eEiCh5nfQ9mTh/+tj6W+ArpioL3iuHpk+PTI+MlonpiMd//XD3Xro6H50adHS1eGpekPj2Ymy/vA6i5CFRXvxfQ3icR5NHGkqo8JekJQXhe3FbCJQRFJORkmKdxWpZoE9jg+C8JVKB/o2mZE26b0hRrf0iNVDDdVUqV4K0LLFOWgWFFQXpbKECZUcVMW8xhmMa7I0hPe216zL4j+8FQ9sc11IRfd+s/OzvfyvcMv7Kpt8+1Z9j6fLTuZGvTAausvO7ve9RHiB7q02GfrqnD+TKrgHRGfyFyeSpmk9iSqH+fTR5n4k4jyOKpUVDmrCHlNLkMxhkGFUB2CI1V/GRJUHNpUyZYCqxqs6HA7jneiZFuB2xRtqmSbojKRigTksJCBXB4JFQSqCJSRkEdCHgk7CJwg6ZJBjnJf0+D7B+MPb9m11fmMW5eCniotSN8gfPt+Xq+his2I1IxITW3uMNQmQhfyfSB0odhWpJou9yjuEKlNhB7mBogbQq5P+C4FHZVnGvWLKkuL8nXK9QjfJ/yQin2NrbkKHUXsIJ618xd3vqGKDR3UdNBiu6n3sP/bsw40tCD9pSz8mvQnD0j/XgF1FTPSX6jypSLVFdBW5a4KTwXfccB1FtpoisEB4IZCeMhxo3D4yuO98nk+ivy/KfhHJI0C3q57feDbGIZ8NxL/M4GjgLfjWe8E3DNNmkbhp4z2l4TWE0Ld9dWezzUJeq+9/lfcl6QnMvwl6b/77vvvvw8Gg5RSWZYRQhBKlBIAhKA/4A54wj53yu16Czi2ZTf0bFx6XT0QvIsr0yiaxfDPmchtjNxG8JgLzAA3BuErKTxRwE0U3yTpbUq9SSjjCJzG8FCR+pAfYrENuZocqqvSU8m7K6y/kgMXKviggXMNtFX5A5UuVPlSg5cafE/E11LotRw4RaGXcvAYhl5IgUPe80zwvgLBMyn8VgjWoFiDYoOILQJYMXPu5LEwOydSh8odDXZV3KO4LQdbUqAJfA3R2wS+thzookAPB6eryyOrZWA0MgvOK4tlZLWMlx0P9fAfBkvQmb3m1Dqf8htbrcOH1nNWGxvsn1qsE4tpajbdmqx3JuuN0TY2WQdWe8/prK0562vO9oqj53QwNT3G6fk48a/mA75Getba/6xYYrXNTJbZkun2keF6aR5zxXuDYWYwzEymqdnyecaQDSRaTVOzZb6Ff1/nvLbZZ1Zbz+noO209p/FqbflFWNCgnsXxTBTuphOHucxRIX9cKh4V8s9y2cNcZj+febm5tV8obKdSlUSiGI1mKE1inEIorShFXS9HI5VYtBKLFnWtqOubicRWMrGZiG8lE1vxeFFVcwhVdfUgmz7KbW6nUlWqlCVQQeBYJV0V9v51ijrjCD7X8R4BOQkUAdzCdFvXqjG1pMolVS5TuaLILDkrKCBPxC2Z2yOgivgqEcqKkINckYCKivNELFO5pEglRapqqEzlPBKyMlfA0rx8fR/sM3kiPoHSy/l0kjikQovyf0BXoEWltiJ1FLGnij1V7KhCUxEusdDQQU8Vh7y/v2IfGJcmJiMTKrlbMs9MlonFdGta6tu+/7j06N//h+XIv5JSYJaKZZXfVqVtSrYpraiwpPE5RS4QuYClHBTzMl+G4h6SnmO0LYhbUC4pME9hDoE8AmUCtzQlh4U8EVkNo0hAHoE8AkUil2Qhh0CWSHmMcwjloLgnBE59rvbySt9mn5jtNxbHjc0+tc8l/KYm29hqZ/ssbEGGNci6dlPfaRktW4dOy9BuZr+5rGw2cVivnNaRw3LltF7ZzGOr9dbhbLtWeiFPH4ZbClen3KL226WA7dZf6ehSxVtETEKQk1GZSJsq2ooQ9iKyN0CZSHksFYlcgEIVS5sYlJFQoVJZFQtErlJckkEBCBWF5GRpU6VVjNlwRgGLjOs5fB+SUEEym8M/ItKLiNSF89euS4U25e/L2izx/ecX83/zmPj7o/OVaEKhzQr1RGqhzx8OqLSQUp0buSrifMXxK3dvIRrx7V7GH1MU7mhSUxEaVGKkP4fCMQg8lYLPwu6Xov8Yhlj1/pUceIvDHxShqaK6CmsUXKiLkC81eAxCT0Mbr2HwPeUuKd9VpQGVrhTpigtdYeEqgWcZ9WNau43gvhS6CKz1193DDffA7ep7N8ZC4FqVbpPKTZJep9U/55MDLthyu2583r7XdbfhO+X8vNcd9nt8Pk8wGETyr5Vzvvvuv//3/+71ehVFgRAy0isKFkX+C9LfeLz9gGfkdddCngES7pI6M6S/TdLbGPkUp/8rrv97OvbXpP4pqrA5/NskvU2pH9PagIp9RegrYEBAj4gNGK6h8KUiPpW8jwXXKzlwqYjnGrjQpbYqX2qwrs7jnEpvIcdm709Q+ASFX0iBp4KXkf4tCDHSX8pCHQsPSd9WxKEidVijSAf9KBpTeRwKDpyrg5Xlwb1iRn/FPlh1jNaXr1wrM4dtbDYyW0PmcjixmCY2y9Rq/s1gOfrUap5ZzFOziRl1LzbyH+6yT0zmK4NxajZN5x4z5muDeWywDMwWZvHetdsGdvvwXulzoefzMGX5Yv/+N2bxbPMKJCP9xGab+zobjUxscu4ldR/XZjMj+pXDeeVw3gvvzPuaTFZoyjwA2Q6h3TGy2vp203Rt5ZgHcTlShPFyBO+mUk/z+eNy5VW5epQvPs3m9jOZx5nMQb6wm8lsJZOsSZ9WlBRCaYzzqrqZSGynktV4rBTRc1TJUVqKRAqRSFHXy9FoORrNEZIAICXLFU17kkxXkvEtPbJNlIpCjlXSoaj79Vz2Pz0of6oI25jLylxelqoYVzVS0lFVQxUVMsyXiVTCoIDFHOS3EdhTYJWAqipvarBIAKMgmzvLIyEHeXZ9Z//4gvTswwKWcgjsyOIREdsYNCNz0n9DJferxqlU6lCZrTyxaaMG4VtUHCrSCIRGHtfIYZuYjKz8MzMYmK4i0zgbmL6/Xnr0o8H+PLiehCCDhSIVqhpLypUygQXCFRVcJHIBgrwsFiDYxNITgp5jVBXFsgTyCOTZA0RSEUmsT5EnYp7Mn5AClvIIFLBUhlIeS1ki5aGcQ3IOgW2Je8UFmmFfN+gbuF3dZUfTaWuvOPqu1ZFrbex2TTwbE9f6xOG8NlvvzLYbi21itvzFtvzJ6phZrFcWy6KdP7BZ+k7b0GHrW80Ds2nksA1XHL31lYFnfcD5hnJoSMWeeq97uJAdpEJDFTtUPlOkCv5M+iqFFRWyc1tFkTeJvElk9hgLQNjE0iaWKlCoElBWQEYW2A5hBckVFadFoYBgCaMF6RfzmIz0eQSKSMojIY/4p5L4XAddDHo66FKho34m/fwl/vtJ9mv+fVEN+mOA/Pw+/Brp50vRMhs3YR+2FYnNnDITYdZo/7b7wGL05KHD0MPfgi/mVP7uh8BkEhRQQ3xN5j7I/EvRfwh8zznPS9HPqLQg/XvCNyhsULhwaLvUJObbcgRCh5z7BAXfU+5C4dqK2CPiEIt3FE9UaRCVrxL4Nknv9XPQVOTvkPyJyLcE3CjgOoJmcTKO40kUfUpHu3y44d2YBrx9/8bthu912Pe3Sf+nP/3J5XIRQhBCGGMIJUKQIHABn98d8HB+T8rteiOGr92ebtAzCnhrgr+LhduUfpvSF256P6X1v6aj/yuX+Esm+jGmMN2+aRRNY/g2SQeK0CN8XwE9VeppMnPru0D8C9m3D9yv5cClIl7o0qUmtQhoUIk9WU0VsUW7Uzn8Sg69JvwrzL2QAvuC56ngPREDb0HoHR+sI/AF6dlL28UCE2xqU74Pw5OA79rmnP4Pw/WS6WGwC9mt0XRtNrM5tYVHwvVDW/dfxdhomJiMC/f3qdE8MZlZ6fvaOl+vZ+bKrE1+ZzLeGk0L09iJwTQxmacW68RgmBqN8+9dzPM77Z+3hH/L0uOL4TvWMliQfo5tCzt8zG1GmVXoIhbquYz0n48L1vmMwkKHZP6jncuDZWdn1T7ybbwAYhTqBTlW0PFOMnmYyx2XK8flyvN8YT+V3ksmd1OpnWRqO5GsxuOlWCynaSlCGOk39eh+Orufy20nEkVVTWOUQiirKBmqpQhNYpzGOAlhQpZzRKlGY1tRvZyK7sTjW2qkQrUjVe1Q1FaC/wLGK2JbET/gwAsSrOJgFnE5KBaJXKRSloplAktYLiKJzU5XkFxEUgGCbYK3KcnL/ILobF+8SnFJgTko5qDI8JZHoKLiLwC/iAwG25LwDPMtApoRsa8IDZXval+/wv6qJjm/JiqAOXS1KV/HoToOdRR+qMo3XGjkWhtZbTOT5c5kZqWgG5Npalr69Mg4NRqvTI/Ghh8mBlPXsXwY9mZkkEMgp4A8lUqUlIhSRLAkC1kJ5GWpJIMylKoYbmJpCwi7Ya4kA4b2PAKbRK5iqYjEPBGLVGJUK2BxLoXL0noEC0QuKKAAhRwU0wRsYnAkCecaYGIsl8D3jnfVJF+P8CMiNGCwJQWa/vWGw9q3mqdOx5XT2rIsdRyWvtPGTBqvjJYro2Vktl7Z7INl52R5ZexcnqyuTnzeLu8/l3xvsZ+Vgocq6KniQ1HbHhHZhes94V9goUTEDEIFSSlhuUxg8R7tJTx/9csUlQksSuImlraIXJKFMhKKWMgivoClKoabBG3qSlIMZ2WhAAEDPDvuzE+BRMwTsYClAgQ5BHJYeCJyB6rQVeSuDlgJuqMKi+NI+3c77z2MLwD5EJwP8fmHYf810j+8wV8MHNx/Zj5e9/se19cOJf/4ImJTES5wuEZERvr3EveS97Fs80gKMNK/kkOvYZCRvq7IDQqZh0tDk2v63KHtmRjYD28cw8AZDX/AoSbmu1gYYnFEANtknqbpx7T2MabcRcmPSTrT4U9J7a/Z2J8z+seEch0n06Q6SaozHd4mtLbEX4a9w5CvF/Lcuf2/l/Rra2tfkF4Ueb9/TvrMhutUCF27Pb2QdxTyfQDBGgoPImiaVK8TyjSKplF0l1I/JVW2IXAbm5vsMrH+WZywOv+ASg3Ct3SpoYOawp9D7qXsPxDdp1KgRsSaLl8Q4YMQqGOBLdazMsgHBbxF/BvIvcH8CQo/B/59wXPIe16K/rcg9F4IPSQ9G8lmr+sl5Ruq2FHEoRgcudauLJbp0tLtI8MC7V8E2y9nejLMFOHG8Dmn+XUs2t7zkviSaWIwTQyma4N5ajSPTea+ydgzGq6MppnJcmeyfjQa7gxLN4YldoCYGAzMtHFmeDQzPJpbzphNrCrwNcnPL2C/wDwb/mf1gCunnTUsFzJhD8eOFrfMsvbxA+GRuXvvvQbA+Je+eSPfxjDkawnelhTYI4AoagLrcV2uxGI7ydRBJneYze+ns3uJ1E4ssRVPbMUTm7F4ORotRCKM9GmMM4RsR2IHmdzTfH4rHi9QmsYoCWESwjgmUYhiMopDnMRKXlUrsdhuJrMZ18qZ2HYiWaXxHFGfKrSlwA4N/Zeh/Yt4g8PPlfAm4QpYZFXoHBYyhM8jkINiXp5HAQIWFYQqCsnLYlbm8kgoYGlLU/Zi+p6uVikuQJBHoKRAhsCSAn9RsUfgM+kVaUsWnmG+qYB6VOwofE3lvqF//pvd1jnpmdka5Rsq36J8n/ATyM9W10Zm8/DR0vWS6ZPRPD+Sms1j86M/PzLcmEwjs/F6yTA2Wd+51g44XwnLBSxliZTGchrLOYSKCJahlEMy2xeoKKhKYZlIVUmoClyRyBUVVzVSQeCJSnYo2tRgOYpYYSOLeFbD/3y4QbCggCIRy0jIQT5JQJHIB0hu8aGhJE4huIL8AHEjIoyJOEbCUAoPOH9vfaVrMk9M5juHfeq0dexLdYuhY2MWuvaR3dFzrXUEf5tw54KnKQV6cmgo8RNZHCFxgIQekdr3CkVdLMyF8O5J36GgpgqvCb+PuSqWipiUJGVRccmxNwCav+7sRcxJXBVLm0QuIrGEQQELRQ1uaXhPV7Yp2tZpFs7fRV/r2syPPljKE3FH4J6oQleRO5rYJGFG+l9YzvwzSP9wNeM3E+X/1PjChfl3Pq6vefv+46RvEPEccpdYYKQ/B9wR5z3kPc9E35EUOIahV5g7RRzD/AdFYGlqi0pMPKdGwYUGz3V4IPqfhFwL0jcI3yPiUJEGVOpSYaBL87RZh7cR/FNKncbwx6z2cz76KaOx8vlNUrtJx+50fJ1QWwR8AP4O5+txvo+ewO8l/fr6uqIojPSyDBQFAyD8mvTdsHcU8p1KgbcgUEP8OK7cpSML69zblPpjNvIxrTHNnAXpb5OUqf/0FXBJuAtV+KBwH3CohvgF6RtUqkfgexh+7Xedi8E65FtUaqpyjcofFPCOiAvd+0Pge8K7F6T/IIYbWLqUhRriF8tX7HVl/ZU2DF3x/vH6ypVhabr0w7XFODY+GhsfTUxLE9PSxGRkMTZ+nlZjaT3bPp8uLX0tp39o935jMDIrxvGS8dpgnpksE7NlYDYNzKaxyTwzWW6NlptHP8we/TBd+oEl8TODYfZo6faRgd2TqWmJ2TfNWwDW31DD/XZavyD9YjSJAfsL0n++tfsZw4dtArZSz4LNPfVtlp7V3LOaByHPFQZMDWNHFammZpRYXEN5VS3qeiUSrUZj29H4djRejcZYlDQ9r6p5Vc1QmruPTS3yOJl+nEpVo9GSpuWokkIoIcsRGUZkGMckQ7VCJFaJJqrx+GYisZ2MlDOxajxeprEM1p5gUiOw9a/L6V8r4IUi7hFQQXIRwQJkV2SxoIAcFnKQz8pcDvI5yOdlPi/zJVneUZWdiLoXU3ciyqaKDhOxk0LuWTK6pyslLLO2dB5LOVkqoM+kzz8AQAFLWSrvIPBCEZsKqOmgTbiayjEtyK9d+76S0wttIrSYEXsU9HQwFANjt4t5e4+Xltg5+MZkmhqNE5NxbH708yPDnck6tlo/LVmuLLYT79rzkG8HgSoCBSxlsJxGYg6BAgQVWcpgOYfkAgQ5yGcRV8DilgL3NWVTV7ajyk5E2Vbgq3TyRSKyH1e3YqSIRNaWZilsDoE53qCcJ2KRiFUk5hFIYCmPwJ4o1oK+mt/b4vxdFO5qYkMXLmn4koRmSLriAv31tSub/dpsvbXaJzZL1266Xlm+stm7JnPHZu27VochX08OdVC4BgNtVWhHQEMHdSq0kDiAYIJhnXINwjcR10H8Z9LTeau+QaVXhH9MuF0ibyJcArCApfx95BDIQpHxPiOF2ZuhTKSqhjZ1tBNTNqO4rMGDVPR1MXsY13ejtEhA4ZclnF+RHhQgKBC5QOQ9IOxrYofKTU1okDATMfwHSfYFyB8m9N8Y5/ynx9+14/61t/pvbiL8g89PHQsf5PAlFtiW3YUcfsl5nwneA9H7HPiPYegUcW8R/07hz6l4qUl1FTYobBDxEnLnUugC8edUOlflp1JwP7zxCofeqdw5CTcVoUvBUJV7qjSOwNsk/TGlfUzQmyi+jZFPCWUWJ3cZ9VNG+5SkN1F8HUG3MXqbiNzpeKDDc8y/kf2NkLsb9n7yhl+HA18j/X/7b//tu++++1y9/zbpWfW+E/IMgt4Tyf9K9J2JgVEU/5iJLbz2rhPKTZJeJ5RpDDP2s1T+JqH0QLAnBLpYqGviB104I6Gawl9ige3Hv5GDTVWuR+A7OfTa7/ogBGqIv7eol8+pdE6lcwWeyuEjKXAgeh8L7n3B81L0n4mhC8A9JH1bkRbv1wESekTsqeIIhscbq1eGpcmj7z9ZzCyHnhkeXRuXFhoyM4OBAfiL+M1PsmBJ/2fHd4N5YjCNl4wTk3lmtd0sL9+urX5aX/953fXjyupHu5P9IHaDc+GaJcP1kmFsnp82WDd9ajZNzZaJ2fKbUP9Gt/43TT7GdttC7O+L+Iqf3mfZ8IHN0rdZOjZz225u2c09n2sog66CupA/QEKCKGUUySoorSgZQjKE5CgtqlpZj8yDanmFsi9lFSVHaV5Vi6pW1SK78eR2IlGNRqvRaCmiZxUljXEM4TgmSaykFTWvR6vx+FYyuZVM7sUTpUS8EotV1GiWqHsYf0CgTv6VpD8i0gECu0jegnIVypsI7hJYJGKRiAUsFIlYVeXtCH4cVZ7E6IFOX6TjL7PJ40LqWTq6q5EX6fj59tZpPvMiHd9UUR4JeSyxy30Ro1/X7Rek3yPyEQVNIl9qIiP9H7j/zLW2DbmmIrSioEuFgW9jYDSOlr6fmQ3XZjM7485MponJeGVYmhh/+GgwfTJaZxbrJ6N1YradeJZf+Tb2Bd8TkdsF4pYkbcpCVQ5vSnxV5NOSmEegiqWqKld1aTtK9lP6y2zyKJd4nokdJLTHOqltV86rxeNcciemsF0yhvnsPenLBOahnCVikYAKAkUEM1guSvzjULjr8bZXVzsrq0O/50oKDZgwhip2NKmJuGbY03WvD9B6b1oAACAASURBVFeWR3ZH32ZpOyw39uWR3dFzOjrry72N1eH66pXDObXYe07HKOAdQq5F+csIuNClCxXU74fG2ZrWQ52iFhH6CmgR8FoRDhXhgEhPoLwJQBVLVSzNN+AJKBJQpnJVQ9sqfBKjT2J0P67up/Sn2diLQvJpNlZQxKNcorG39TqXPojrFRXOa/VYyv/2Sy8WICgQVFTgviwf6KBFQJ1yjPRtyi9W2P9AQv/le2NR+PlVKv9frLz7d/2s39T2+WfVIRpEZKRn610XcviY9zwXPQei9xD4XsrBU8SdYYFhvqbLF6pco3IN8R+EwDvOdy6FLhXpUoMvIfdU8L4m4Q8q/56EawrPFg6biBtT8DFC/pzUf0rrzBBuFkPXcXKbpJ+S6qckvYuTu7hyF1c/JrSZKl/I4VeS/5XkrQVcnYD7oyf0mg9+g/S/yOkfVu/ZRF4gMJ/Iy2y43gLu2utthTydgPulHHwFgmdiYKiTj6nIXVyZu9UllJskncXJdZwweT+W0M902Ap5OiFPDwk1HZxp/Dsl3NKlSywcQf9TyfsWh1sarEfge8K/5/0XcrBGRNbhYBP4FxQ9JP0T0XMgehekbxL5QuJ/TfqOzHUpGFJxzPknDvv0h0ezR0szs+HGsHQfxi+q919KyH09m/8yrTeZZibL2Gi6MhiHdutkxfnRtf4Xv+8/wuH/E+b+IxD8q9tz47BdWy0zk+nGZFrI1d2YTNcG88NgidTEZHzoQvs1V4/FBuDnJUBWD3hA9y//52+QnnXubSOHbWR3sK8y0g/s1t6yrbvm6LqcHd7dgVIDwy4UX2AhhVBZ0jIEpxWFLcoznBeoOg+s5IiSI8pD2BeoWtT1SizGBu+r8VhR1zKEpDFOK2qK0DjEMVnOEFKKRLaSyZ1kaldP5/VoSdMrqp6mZAuCMyg21H+Zb/0bKr4i4kssPcfyPpJ3IdjH4CmRt4i4RcQdKj2J4GdJ7XU+8b6cvajkP5SyHyq5s3LmfTV3kk/sa+RlKl7f3XpXyr0uZg4SWpnKBQUUFVhSYEmBX6Tyn0lPpD0MX6qwgcA55buYa6h/5HLGSN9BfIPwdY3vwOBofXn2fy+NDd9PTUvXlnk1i/09MT6aGR5NTOZPS7Ybo+XGYJyYjG9dtveulZeB1SO/90WAex7in/KhAyHwRAg+FsI7qnIY119lk+8q2bPt7NlW/qxaeF8p1LZL7yrZF9n4Y53UdzcvNytvCtmnyeg2RWy9MKeAnPJ5Xq+ApSwR81iqIFRCSh7jTZF/FvCfr69cOB11m7XjtLddK03/epNzd4C/J3MDJAwl/ioUHHs9U7d77N4YuF1XjuXxyup0w3XtcU9cq8MVx8hpn6w46+alzqqz41vvcL6BIow0OCCgC0W2f9u9d15fsKROhT4WuxicKeIRFY+J/ALJe0h6AqU9JO0ReU+B24q8o6H9uPo8E3uTT15uFS82C+9Kmbel9Ptq7mK7+KaY2tTRy2yiubd1Vsy+zCZ3o5QdEVjWnv9V16YAhTKU8lDOY/gMokMdNpBQU8LMmKClcA+b33/4Xf3tKbz/Asb/ur/+jQ//5pf+KbOELB6SvgmFSyl8zHteit594D0EvhdSgJncMNI3NPmDJl9qsIb4cz7wPuy7lMINCusRfIKF56LvDQ6/p9x7Er6kPHNv7ytgAEJjPjiDwo2OmGXtXUa9jdG7uHqbpLdJ5Tap3CbpbZLepdSphl7z3iPB81oONP2unt/9cSP4DdJ/Wb3HGEMIF6QXBC4QCGw8IP2Nz9cKedr+DfbY3kuhoU7u4upMhx8TlEF9ntzfk37erdfhCIQmEtfH4jnlT9XwGQ03NXCB+CPoP5S9Z4Rr6rAWhedUrEO+pvANTa5HYD0CL3VU09EFRedYOpXDL+XgIfCxp5iR/lwMPyR9h8qLV7qmgxbl22Hv0OH4+L3pL4+sNwZjZ+n7ifHRxPhoYjBMPufx5qnRfGs0XC89ul5iuf7S7NEP10uPbo1f7dMvigHssjgzWSYm85XRNFxxTNdWPno2/mcg8L95/v8Vxf8Ih//s896srkzt9qnZMlsyLaoIE5Px4/eWj99b7n4w3S2Zbwzma0Z6i4mN9TFUf82Te8FvNjrHpvCuLJaFLtjM+osd4sW3X9msjPQTh33isE4c1vny8b0y/1zab9k+XF8eeteGAVdX4xoa+qChjgaPdDmOYVamMRVnVCWrUaZ/l1VIhuAcITlCClgpULWoanlVzdw36XNEyVBa0LSCphZ1rahrGYLjkpSQ5RShKUISCCVkOYUQqxAUKN1Tc3kaLSlqidIkkauS8A5Jnei/zOHmgy68o8IbRTpRpOcEHCDhKeJeYOFQRYc6fhZVjlORs3yqsVns722N9nfbO6XmVqG2lW8/qV5s55/F6VEyel4pneYSbwqZ55lYVYNFKrEWdX7R631QyGX/TiPpMYYvVViH4oXC9Qj/bdJ/bTqpTgW2ttQg/CUNd4B/urby4/eGseH7seH76dIPi9mUW6Pp1mi4fWQYmc2ffrBeL5mmS0vjpaXzFXNt1XHmdrxxu043AifuwEuf9yjsecH7nwvhk0z6LJ+tVwutvXLrcaXxuFzbLl1WS73H1fpO+SSf2Fbkt8Xsm1zmNJ85yWUfR2iVwiKZD/cVFchm0IoEZImYJbAISQmqJUR2Rf6V39taWRkur1zblm9N9onJPLJaBnZ7f9nZCHl7SBhpsK+ALhZ6qtSOyDUd1BNSk4T7/o3Z8sqtyTozmSY2y3h1blrdt1k6Tvso5BsjlrILAyT0kNCloKvLHU1itmwdCmo6GBDQx9IHKr1SpTeK/JrApxQ+k+XnED4l6JCgA4qfRuirTOJ9Od+q5K4Odkb7263tcmOz2N6p9B5v1Sr5w0z0KBO/qBTf5tJvi9nn6XiVwiISiwosKjD/y64N29OrIJnZ3jxH+FkE1SXukoSa2lwBfqES0/lDieyi7v1fXLRfCNixJfhf6Nl9sxr/tfv/62/8zbWCv/d+LkjfQAIj/SvO8/I+4ZyTHgvnVGTz9u8jsKajBhEvxVBNCDah0NVIJ0ZfIeGZ4H0Ng++U8DscuqQ8ix4S2kH3wOf+iMBPcfUmSScJMk2ST4nobUKbD7rF0TiOJgk8S9FZVDnmPS+A9w0KdQLuod/zcSP4ivtq9f6zRt6f/vQnt9utqiqEEEKIkEwpWeT0nN+TdW+wnL4Z9rQCG2+A9w0KvZHDXRXexcmnGLpN4klGuY3hH1PqbVKZxcl1QrlOzP9xF1emMTzSpL4CekhoQ66OuQ8Kd4pCR5LvSPK9QaEGlToqblPEBhfZ3w0K6yqsR/CFKp/KYbZodyQH9wXPAed+KQZPAXcmcpey0FTAJQy1FK6nCg0cvKShegwMpXDfvTY0ma6XTJ+W5uN135il/3tjXuS8B/ZcasZhH7rXrz3un93uv264/83j/Y+g//8JBf494Pvo9t/YVyYG07XRODMbpqalmcFwYzAvLOZuDEbm28hiYDONHJaJwzqzmdjK39Bu7S3bPhntM7O9b7H2zJaR2TqzOsZ2R9di6VudY4vjo33lZ8fKjc06sprYDD8TC/vc6b8vzt+srgxNpqnFOllxdhyW3op9urYytloHa87hmnO2vnq7sX69sTJxLY89KxP/+kz23oUC4zA3DoG6IO4hMQtFpMKcoi3y+BwhaUpSlKR0nFZ0lqYnEIlDHIcwiXFaUXJaJKdF2Hp9AqEkxilCkhjnNC1DKTsTZDHJKgqLqIZzuhpRYBaTTCxWhWQfyTVN+c0M5ls+0/+kqFPhkvJtDFpUOtOkBpbqSH6iCntUOojg99Xc+3L2vJrvPKk2dvL9/XJ9N9/cLV1U8heV4mW1dJKOP0+ob8qZ19n421L6rFo4SGhFLBSJyPbNqoDbxKBCpTziM5DLQbEMpSqUdxXhgPAnmLtQuA4FAyr1KOyQr/bpv3GF7RGxj8UG4T/QUBMFxz7XbMk0/cEwe7R0vWS4MSw9OOCaPxpMixHUicEwNhrGRsPYbJyZHUO7ub1uurFYzpad2373kQSO8pHTrcy7rexFNduo5Aa7leHBdn2v9LqSPKlk3++U3xQyR4nIm2zqLJ95nU2e5lJHydieRkpYLmJURLAAhJIQrop8XhbZNlpVEh4L/DM+9DLsPw64OyurY5tzZHcMbJaZyXTrtI9X7WOzsb3h7IU3epy7610dri9fbax2/Ws13lUPb1yEXZeBtaZ7pbfCdK6sU7PlR6vjo8U+NdmGNvvY6xnLXJcKLf2rz2dPk5tQ6FC5o4ln2Peehpo6vIDyORRqEfpcBk8IOoyob4vZi81cfTvb3s53d4vdvVJ7p3S5mbuo5M+r+Q+V3POEyjwM35bSr4uZN9X8dpQUsFDQpCIBBcCVJbBNlDKEGYnPKXIeS3kkVBH/mPKHNHyEg+/JXDi9S8HcZO+f5+b8ter9f2U83I//ddfgIcWZmv1vPoo/9tjb950a9kMbiLuUwjWZaxCxqYAa4t+C0JHg2wfe/fAG87J7Iwc/IK6hg4YOPigc08y5UOUPCnhPxBqVW5rSVMkbLB6DwJHkO0H+NyT4QeHqVGgQvolCfUUY6/JdlHyKU7adPouTu5T6U1z9c1Kfxckshv+S0H6Kqzc5fRbDJ7L3LQicAE877L0K+q59oZOwN+z3+H0bPp8nEAhIkiQIQiQSca2tf/fdd999992c9C6Xi1KK5n9kVr1nffqH1ftGyN0KbLwSPacweIb4QYR8jJNrwo9VfhiRfk6qP6e1jwmFpfULL7vrOJlEESN9H4ttIrSoeKmJpyj0UvYz0tcV8Jn0GqqrsKkiRnr2xLFFO7ZPf8h7Djn3kRB4I4bPRK4mCw0iXsJQk4Q7CtfCoTblWpQfBDz91eUro+l6ycCuVr+zIP/7Y5HTz9fkLNaZw9HbWJ561n/2ev7q9vybx/vv/sB/BIL/4Q/cePwz5+rUaJ4ZDDemz6RfHD4ekn5mNkxstpHVMrSbx8u26xXH1Om4cjj7Tkd7dbmzvjzybXwK+3/0e69cK/U1x3uPc2R3juzOocPRdVo7TmvXbplarB/N9/4fti/d+YYO28RmY/43I6tlxDTDbTamPna/ZWcb2y1XTut41d5dMY2sprbN2rM76uvrhwHPdiiYAgJDdYbSDKXzSr6C05QksbKIBCIJRNj/TCtqWlHn6TtCKULYd2VVlZE+Q8hD0sdUXNDUuIJyRElHo2UZ7yP5UiX/KtI3FdCi8/2rmg5qVD6F4g4MP9HgWTnT2t9qPd78UMm9L6Wau4XOk1Jjr3C5lT/Lp87ymXel3MtU7CgZfbeZP82lXudSp6Xs01RkS0ebOipSKYv4TVnYItK2CreovKlIW0Taw/AJQfsUPCf8a8JfEq5930L+Pbr3X0SD8C3Md7FQx9yFEmqT8CTonlmsC73kG5PhxmSYazCYLIsK1udzLRspfWQcLy11zT+0rZazVdeBJFxEo/WdYu1xtb5Trm0Wm1ul3uOt7pPti+3icS5+kk+92yy+KqSPktHXudTbQuY0l3qTT7/Kpg5iWkVBLJUvAK4scpsSXwHcpixsQbEqhzdB4AnnOw64z7zu1opzaHMMHYz0lmubfbBs75uMI7tjsuEautd7TsfIapvanWPX+ijg6UrBDgi0BW/b7+qtrwzs9r7J3FsyzizWic0xsNq6y45+wDOQmU3i15+6uX6q1FSEmhKuqeGGKjYorEWUtxTuA/55RH1XLjQfbzf3ypebmcvNTHO30H5cqu8U35fTb4qpN8XUq0LyOBN9kdTOypnTfPpVIX1ayT1OqJsaLGtySZHyMl+SwTbB2wSzCYBNIu9QuK/Ih4rwgnKnKn9J+bYi9lSJCca1/hNI/88qff/BX7FfKuH85mDpt+/hP0j69n15oIn5mszVEP8F6Q9EZjYfYKR/h7m6KjV0cE75D0g4x+KlBms6YtowDYovkPQWiSdS8ETyvyHBd0r4nPINVWwQvk24K12+SSgfE5TFbZJeJ5SbhPIpqvyU1GZxchPFP0eUjxFyndW+TXq/3xsIBGRZBgBQSt2ujc9quH/605+cTichBGPMSM/26b9B+tdy4Azxo4hyq8MR5+kKniEVfk6qf05pnxLKdeT/o+49n+PI0nS/Iki2mR6iTGZ5mPImfeY5eTKzHApVKIcCQIAeNPAgSLjy3gEg2TOzs7t39zpJIX1UxI2QFOvvXe1VrCJ0FbrSn6UPp1BEs6d7emZ6tqWINxCEIZEAs/J3Xvc84CIu47hMoNEC6sdhOya1VLGBeCxAcRzhDiCFSb8HwqcKj9F+qoxJj9+eKuKJJr1RhD2R2hXCO2L4pRB8Qnue0p5XTHCfo14zVEnizyTmRAqXEF2SqZpMdRBb5fx1h71ltfUIcgLjPxLmcd99QJiHFuvIZm+4nCOf+1fBwK99/l95vL/0+f7EG/i1J9Dz+7ozMz2CxGnT0GT45MKuH6mGEWEckMaRwdInrG27tem0NazmuoloGs1ds73scDYdzg9u938TDv0PDP3nAX/bNXc873hrM1dm7FWbtWwlmk5bx2nHovdNq3m8OHfdwsekr9sto9mZkdXWNZgGFuvQ4cCCPx29saM3doymtsnQMupb+umWfrprMLQshr7+5y3DV13jdMVGbrlnXngDG2EqKUkLACSRnFRREilJiFIApSSMdrQoKzizvw4ZU38BgIQkYdLjUwI+KIyH+2Q0mdVfVOSCpiURzMhoQdPyvPQQim9V8FORvizzNYWvqmxNYeoqd6hxjxDzCHA7mcT5w5WT9ULj2YPSg5W9TLy0UTi7nzm9nztaTu0uJXaXkvvZ1PNE5GlC21/O7GYWt9MLB/mlrUzyyYK2HkV5mc9ITBHwKzJ/H4mPFPAUiU+h8BxwLyD/UuZ2Ifca0lheFJdqz+Dv/EQrIbYMGdynP1Xpusr2Gf/AjuWQib7J1L+xCdInv2WMdH3zd0lD1zhdIYzP3I6tUOjBgnqynCk9LVYfrp3fXz4uZk9X8+WNldKDlTfFzG52YS+zeFjIvFpaeLKgPU/Ht7OLu5nFw/zSfm7pRSpxPyLjHz8v0ssisypQm2H/y3BgOxx8HvY9CXtfBt3HrvmmY7405+jYHdihfEhahjPOunu26rDVQt42YJoKV4d0S6C6It0GTEvl2zLbRGwLMk0+3Ax6WvOzdYe9arN25mbbrrmqe7bsd9X5UOO7HcpxnMNQXRMrSDgHbFVlKxpTQnQtIu5FpOeAeYrE/WzqbGP1dGO5+miltJE7Wk6d3s+dPSgc38/uL6d3csmt3MJWbmEzGX2a0HYzizgOitkXqfiTBe1aVYnLA24FCo9U+YkmPxT5h1DcRNIrJL6EzA6ijjTmTBmvTozlZW7ktT8Km/+/Rvrvv8If6yJvAv5mTv8J6Q+58EvWj+vKmPR7InUIqGOVL0Wk8wh/LLMniDvXwFkUYpCVNXgqj0m/IwYPUPgNok9VFjeGKjLdjUqXiyoevB9eV8RHSeUyJn9IRS4W1WEUXMjCUOYHi0o/BjDpdwTfJ6T3+1zBoD8QCAAAcIU+FAheT+TpdDqdzmQyiaJ4DfvvJH2J8lZCnj3Bv837D/hwW4NDwNZ9s82we6SJv1yK/nIp+n5RxYMDeEwPZ/aDhNyJg1YUtFQRk/6NyhxAaksKvhD9OzD8VuGwKN5EBxeT/gQJx6p4hPg9kdrhQ5j0zxgvJv0Bi0nPngjUKaDOVe4MhusyM4Bs1TtXN5h6BDkymYcmEy6wD02moeFHS+t716THK0lDIzkkLZdW+8Az+3XQ/xdh6s+Doa99/ku358LlvnR7OgFPe3amT5ov9MZLo2FoMH5SY5gkT2NVO4uj73J36UCTDVSD7qp7rjk7355zVSzOC5fnz32+f+vz/rehwL9l6MuA/9xhO5+1t72u1oyzSpraDlvHaW9bzB2zGa/bTQxvsGovzt17dlvbYq6RpqbV3LVZe6S5ZySujOYLk3lIkn2SwNJAI6PpykiMrLZfGI1D4l6fuFexm7e88y984Y0Qk+PEJUFaBCAB5TiU4xJKiijJj3N6nMFf5/EKnrnDpMel+xRCN0mP8/ibpE8pclHTFhU5B1FcUbKs8NOSvqqABuRKClVVwjWZeqGEVyLcdixyurF89qB4mE/Vn27Un27ggaw3xfTrYmo/v7iXWTjIpXeWko+i6IEGNxfjW6mFV4uJw0J2N7/0dCG6rsICHE9uFwF/H/DPZPGlLGxL7I5I70v0IWRfQ/YEspPHUAmx59+tEvqdz3E8e4/XplWmoXFd1t9wWPErZWA09kz6PmGY6EH1v3WLYtmJK9P0ewPRJxwPWP9rCb0qpGorucZ6vvFg7Xw1j+cQ367l3qxmD/Opg0zybS5zkEs/TWhrEbCRUJ4txbcyyYPs0k4u/XIp+SCuFpCQBcwyYFcAswaYR5z3Vchz4J0/8M5vB2Z3/LMnrtmW3dGYtQ/s9r7D3rZbBxZr1+Oq0v5ywPuG9Z+q7ElceBvlTjTuTOOOVfatxjYgV1P4hsY3ENsSqBYTbIX9DcrfoYMtLlThAmUxVFXZ71EmGONHDtY0rqqAChTrMldX2YrGnEfYR4B6AJmtxejb1cLZxurR8lL14Vrt8epBbvFoeel4NXe0ktkrpHbzi9v55FZuYSMCN1TwfDH2amlhN7N4WMhsp5OvFhP3FZAHHJYPKsjcIwW8UOGmxL6QhB0gHADuEDBHMoMJUQXMKWLO5XH86Ej+aWFf/qak//df3o91kVhDfZLK43/2VAyfivSJRGOVl1PAvOYpTPqntAdX7/dEah+E3ypcKSKVo+BcEc4Qf66J5xrAICtH5XNF2gPsthDak0KvEXWM6FM0Pq9XZLoTB6OkgrfVhgkZr7ANFpXLBPrFUuwqHempQpsKNOlALyr1otK26DsUQjuCrxz2toO+oT+8Q/vpoM/nnQ+FAn6/HwCALWx4lrt79+5H0n/55ZcMw+Dxe0z6m8o5Sx73ocCM/P6bpN/nQi0VXAC26Z3tUN4PMfnrdORDSpv06QcJuRcDg4SMhXQGCbkfR90obGjiucrdJP02CL1GzFtFeIP4I8RPdO/fKsKRzOF9+l0h/Anpt9jQAUsdsfQ5YE956hyw5Yhwipi6zAwBW511NO5NDwzEJUGOCALr2Q1NpqHh0xn73zv61/P5Y40dAzEymS8stvce958Fgv+GZv5VKPzO6+u65tuuuc78fMsz23HaBwRxoTde6K8xbyRxSeDmoB9+yNZmZ+phX02malGumRA7EbEmUMfe+ZF17i9DzH/H838Z8v+JZ/5PAr4P/kB/xvWn3uC/prn3Pn/NaS/P2mtOa8tMDknLxPNmLM1Ljkk/straFnPbNdMJuOoztoaFHJKWCz3Rn9b39PqOfpzNt6ene/p7I/10z2S9mjZ2jV81yOmDWftGOLhGcVlWWAsLRVrIsmJSEBMSjEsoIaGEhG7k8R/jRkkfTur2ODDsMd2zSMkoypj6irKiamkV5WUlhlCWFR7JwrHyk5G+roGaxJyjcEVjTkFoHfiLcelNNnO2vny+UTy9X6g8WjtZL+xkEgf5pdfLWVy2PSikDvJLW6nEhgrXkLQRU54mIo9j6sv0wsv0wpO4dl8BBcgvK2IxAopIXIfCM1nclaVDyB8DpoTYU5k7lTm8mTM2/0a/T06PV8gw6UuIriO6TrnPbFgy0jg0GPEC6ngM5Vuvl8mN2jL/vGYmTmfmM1F+J5Xcflw8e1w8f5ivP1g/XV1+XcgcFjJ7haXdzOLuUnJ/afGkkNtdSj6IysuKsBaFDxa0pwvRzWTseSrxNBV/mNCKqpiXuWXErynimixscsFDn6duc3bN9rbD0Zh1duyOIWlr2Swjs7VvttTNRNNibYV8ZZk9l6i2yHcRaCCxDLi6LDSQ2EBiU5FKgC4htqTx10sHVA3SVcS0IFOXmZJMncsM/mwJMt+jJltTmLLMYu+MqkjXFKYc4w9Q8D6kH0fEg0Lq7EGx8mjteDVXebR2uprfX1o8yKQOs+n9bOogl97PpXcziy/TifsKWJXFh1EF//gv0wsvk/Hniei6CvOAyyG+GAHLiF+XuRdIeAWFQ1l8DfhjwJUQX9L4c5WrIK6uChPSl35bNeL3xu1PBfub3/d7xv5/dN6Xr30LJ4eMM4k6FeljkXqLYQ/YI4He4oNPOB8m/ZYU3hHD+xJ9JDN49v4EsieQxUPl490xVXwD2D3AbvHBPSn0BtHHiD6XmboqNDSxGREGCXmUVLAIDc6Thwuon0QXcflXS/H3S9EOZOteV83n6ip8NyJuCd4J6VsB74T0OKf3+XySJCmKIggCgvIXX3zxsU9/+/btcDiMV+onpL85kYdJX6Z91bB3h/PucP4DPtxR4ZXMdwKuHu17p0rvF9WrBdSPSZ2I2I9DHKOk8n5BvUpplyltlNQGMdTQxDOFfY0oXL1/LvheSoE9ED4ADA6sk4PBfwiYQ8geQnZH/Ej6p4z3GePdYkP7HHXE0meQPeWpMuBqEXCKmIrC9AFTm3O29IahyXRJkCOjoWfS/zFIP3n2DYzGvt40IMwXFts7t+vXPv9fBOk/DVFXPl9nfq45N9Oem+3O2vo2y4AgcDaPcT4m/Q3MY4m9HkE2Lda2a64ZdFXDrjrlbtP+RsBzNu/8xaz7X/mD/5qi/yQUHPncPbdrMO8azbj/3Bf49wz3byjua59/4HG35mdrDkvdbpmI3038OnukuWM2XxCWtsU8DPuuJLrhcjZJ4sJie09YJ2v9eNlvaDZdmolLM9ExWS6njS1yumwjX3g9GVHISCgO5Y2QsBYW8rSwxIlJESagnJDVhKwmIbwu1H8jMOk/ae1PYI+Vdm6SPouUoqKmFSUHUVSWczz/TJHOVPhTkb6mChWJrihMKSpsAaoIgg8XlZOV5bP15cqjterj+29Xsnu55F42tZtJ7WZSO7nUbj69m09vZZJPGWJaCAAAIABJREFUE9rYuCyirEfVIhDXkfxAVR6oyoYmY+H0FQ2sKNKaLD6SpS1ZPEJ8WeEaGj8WPVU/ThfjIucf9DxFdB3RFdr9dobsGYnrhpThwmS8JMgLE/HJ66U/KTgRxNBkOHFYjzzB9QX1OJ8tPyzWHhSq67mTteWj5ex+Lo0t2Hczi7gfjzsX6xpYUcXVCFyLymsaXEPSehQ9iKvrcbSiSQXEF5G4hqQ1JBUV7inlfzs727TZOw5ba8becFibNgu+dTtmc9lsajjsTTpQVfhzwNYB21SEusyVITMRtqsgroIELM5xpnG41l1CWL6ex05rp+gG6b/719XQ+HNAVzWpoYlVKVxT2JOY9BgEVwDzIhU9WS+UH66WHqycrOVP7xf3sqnXS+mDTHp/KbW3lNrPpvayqa1UYjOurUfVFQWuquB+RF5X4boCHmjyI1VeV+GyLBRUcSUKi6q4CvknsvBKlY5V8VQWyvJYShz71dYUfoL5P5Bw3zPW/pOX8X/IEv+PBftzQJ9J1GQBAX/3EmROJPpYpN6IFCb9G5HZ5oKbnB+r4W5J4V2J2pWoA8C8huwbwJ4h/gRxxyr/BrGHMv1a5o4QfwjZLcC84AM7YvANovEyfUMT2zE4uK5847i4Rv5wAV1F5T9Jx3+xFBvKfMvrbvjcA1XsaMKW4H0thr9N+oDfHQz6/X6/KIqKokiSpMhIr9dPTU3pbl0v2gWDweuhPBFCaaKcQ/k9n5B+l/ft8oEDPtyUxUvIdYPudsjd4UKXUTCKSgNNGEbBePkvgd4l1Q9J7f2idpXSLha0flRuqeKZwh7J1L4YesH7nnCep7z3lRjYEcO7QnhbCI0lh2TuNWT3RWpfog8Asy2EtvjgKzE0mch7xYX2OeqApd5C5lSkKxJbU6UTxJUQ24Fs0+9uEUTPaBwZTXhxbgzmb9q0/1gxMBp7RmJgtlzaHT2368rn+2Ug+At/4MLj6c3OdpzOnt0xsBJD88fK/3VhfCy2PzaaM5JYYq9Pmq/Mtku7Y+S09+yWNmlqmcm2w9GZnxsE5vve2Z7X3Qp4S37PkWf2zZzzbH526HX9Ohj892Hu3wWYX/uCQ6+n6nGezo+358f+3Nek7xJk22BskkRnzjl0zXXM5va0AUvx4+HqntHY0+v7hmk8N9AnDH2z7b3J1LEYzh22zSCVhtqSHIshtMJKy6yIa/gpCSQhjMsgKo878QkJ4nL9ZC4Px6IsL6kqnsKbbORj0uc0LaeomRv5/TJSUwjlIIpAWOCFFyo8V6SfivQVlT2H4boivYnKKzB0XxVe55bON1bPN1bP1pffrmT384u72YWdXGo7m3qVTu3m0zu5FMb8hgrWkLSqystILqowI7BjcXgZrKrysiLmFQF75OC0/inkDmS+hNgmYisqW1HZMnY0uX6u/R4r1N94eipMU2UbYuDU6+iYzV3S1CGMXZN+QBrHqg9GcmLWgAfv8Qpo30J2LbangflHIvs4u/Bmo1DdyL9ZX9pfTe0uL23lFl8tLewsJfdzaYz8naXk88XYw4iMJw2xCRBeICxAvojEFU0qqmIBCcuytKLAdVVdQ/Apyx14vHXnbM9qxW5SPau1abMNLNaW3Vp2Wtpzsz023IBclQ6+FfxlSNUgXQVUGdGniDpRqDONaSpSVRFLqniuCGVFwDfJucqVNL6i8mO7dFUYd2e/W3MQy+aUFa6KmDqiqxq3F5GKEr2KhMOVTOXRWuVh8c1y6iC3uJ9Lb2dT+5nMQTZ7kM3uZdM7uTQeUNiIwPsRpYgA1gYuQD4rMkXAr8KxTU5BFZc1aUUDq0jYkMWnKniD2FMZK/SxVZUtIbqE6Elh5g9Xy/mNHP3+XbU/aky+1w/U6vkjkR573pdl9hQwb0TqjUidAmZC+mes7xnjfcEHXomhbUBhZh0C5lCgShHpVOGPZGYfhLeFwK4UOkTcgcw+l6hnrG+L97+G4bcydS4zjYjUnajRJOTRArpMoMl829WCcqWBXy5oH5LahSz0A/6O3ztAwoT0u6Ifk37gC+0ygbDfEwx48EQez/NjKTwJ2Gy227dv627pdHjfLhgMqqr6G0n/cZ+e9uHq/Z4Q3GeCFYHp8+GWb67um60G3Q3K12D8DT7YBewoAgaq2JW5HuQuI/AiCkcxOIqhQQR2IqAWEc+iwp4QfM55HzGux6z7ueB7xQVw7IhhrDp0AJg9IbwnUvsSPSH9cz7wiPE8oT0v2eAuRx2w1JHMnIp0WeBqSDxB3CliWgrXYQJtC9E1GQf66QuDHqvND00m3Iz8I5F+aLFeOWcaPnff573w+d95fRcu98A5M7BYh6RlRBgvTHgWb6yN0zeRIyOJV5vGYSRHJvOQtAzMlq7T2rKRLRvZd5r7DmvDRlRmrFX/7Mg/894z//W8ZzTnL9vnX1vsR3Z7aW72nc/1S5/v18HwLwPBodfT9rra3rmGyzkx2umRZkz6LkF2TGOB/RZBtKcNV3ryvdHSN5Fti7lnxhmbaTRtuDDoL0zGC9I0II1d0vROr2+b7p1arE/c4ZSoZcRIAoKcLGchzEogA0AawAUA4kBSgZCQJBwLQL5RulfjIoiLIAlhWlEmpMdLdymEJqQfJ/eqmkVKQVYWZRmTflkQtzVU+un69OcafQbDdQXuqlIShh7GUHNtrfRk42yt+LqQ3k7F9vOL+7n0i1RiO7O0X8jv5Je2MmPOrcj8qiwWEVgS+DyCGVFYlqUiEAsivyxLBSQsa1IRiasqWNHAisw/gMw2ZE8BVRFDJYXCT/mxsTficPXv936S4mmglsa15PA5Nd+2W5tWokkam8R0h9Djk2jPSFwZiQsTMVmxa5OmtoXoWMkeaVunPRsq2M8tlR4V+6u5o2JyO7vwannpRXbxZXphO508yC4d5jLb6eSzheijpLaugVU0tnvJigzWkcV2AAXEFxCfl/k8EIpIXlciBU27D6RNJnzkmys7LQ2LqWU2te3mqs3attkbs87SnKPjnh8w4TZH1zzu0pyz43b15l3tmdnG7EzdNdcIePpsuCnxVXDtk4bEuiLVVKGqCeeaWFHFChIaaLyxVpbZiVXMt6MO+JoqnSnsOQy1NKYSFTcVLgvYpwnt/OFK6cHK+Xr+IJvYzya3MsntXHortbidWdrJZrZz6VeZxafp2HpMLiB+WZaw2cGyAvKymBHoZYlblri8zK1oAPv9FFVpVQWrSFhXpH0QPkVMTeGriCkjuqKyJY3Fq5JYxa/2h8na/EYZ2m/bJfyxX1bfvj9/oFzPbyT97/ELublbeDOn/42kf8p4n1DuicnNPmQOIYtJfyyzryF9KNN7ILwtBF6JgS0p/IIPPBNCT2jPc867D4JHIHQKqLomdhPoXVK9TKDLBHq/qGFB3PcL6i9S0cuYPIL8OxVcRuBAYnt+X9Pj6ghUW+Vvkr7p92DSh3zuUNAbCPjC4TDHcXjqTuD4ubm5O3fu6G7pdHgKPxgMXhvXihPXWm/IRwe8Sx7XnhAe+H3ntOc87NmCoS3Odxh2N5lw0+Pq+rydkK/DhZp0oBXytX2eXtA/YMLtsL/pcbXcrmbI906V3sXlq4Q8ioAaoE7F8FvI7PKhZ4z3Ged5wfu2ON8W430pBJ+C4Es+/EqgdiC9KzO7MrMrUVu8/xXne84HNjk/fvuU9rxk/Tt8aIcLHknMOZRKkthEsCwyJSE8iEh1LjAkbQODeaA34Wp5z2gcGcl3JsskQekRpj457pFfGj7O0k+akVg777t28/qEYWDUDw36kdEw0E93DPe6pKFvJ7vO+b7LPfB6e25Xd2ZmZLVdGsirr/R4ru3KaB4aiB5B9khznyR6RuOlwXRpMF0ZiUuCHJmtfZuj7XA2Hc6e1d61WVs2smMlO1aybbPXZ5yV2dlLt/fK47tw+9uznppjruSYPZtxns44W7OzfZf7wucfeL3NuZmK3VqzWVtWW480Y5GQupmomYmxhI6FuLTaR2brkLQMCHPPSHQNhr7JNDKb+xZjz6Tv3Zse/HwaGwL1CEPbdG9oJIcmQ90yXSLIjWBYi0ZSKKLJUlKJpZCaRygHpIwoJCVRAwBBZRGARUlelBQcKUlOSWBRlJIQ4ql7DPhx6V65FtHTtHFc7+gvqWpWVbFc7oKMCjLaRPD3mMj7XXW+sApTFTE4h6tBui5zdZmrSUwZUvUk2BTD9yXuWTLxZqNw9iT/ejW/s5Tcy6ZeL2e3UolHUbQRgfdV6UFU3ojANUXMQzYnsTmJzQMuD7gcFLAi3pLEZaGwJAkZIGahlNfQiiavqqCowqIKHypwV5ZOZeE0AkoSWwL0W409UoWyLLaQ0FTZuizUIF+R2fIk20NcDX3nCeBcxSruTAOxdZmpwnBFpipK+EqRukFvx2oZGU2X08bBz6fbBn3bYh4ap0f6e8Ppnw+M0z3C0J91XtChdtBX8fjvi4HcorhXSLVW18r3l/eLi3uZ+PN0fDe/9Hwxfl+GGwp6EEEbEbgWEdeiymoE5SHIiFIOwByQsqKAmTex88kAPguFPJKKmvwQqfcVUJCZrYD/jc/f8/g6gbkLj+3C7uibLW2SbDtsHddM1z3bm3EMLFZ8lu2bLV2LpW0xN6zmzpxzFPCUINMUmRrkz1ThTOMaiB9ArqtwFZnGnr/nMncG2bEN5veQQGEqSDhW+RoXbCn0fpLdAOE1Db1aiB+vLJc31t4Usnvp5EF2aT+39GIxuR5H92Py/Zi8HkdrUbisCFnALInUkix8Q/hW4vMClxe4JZHFt0QBSQUkLCtiUZWKqvRMEreR9EYRygrTRExNps5lBht8X8c3buyfKh3/5HCAP3JzzO2HE/dHufjf41v/xss4BcxbiT4GzFshfCYxJ5B9xXqfMK6njPcTnxscB4DZA/SuzGwBalMMbopB7LT+iPM+5n1Pee8r4D9A4bcyVdWEYSoyXIyN0lpTpVtyuML6eiI3guKVAvscVfHOt6lA2TPXDHrbYX/N5+rSwTKiD3n/c8H3QvR26GAz6B0FqG3KF/K5qYA34PcGAgGe5/H4vSzLwWBw3Kf/LtIHgx9Jf3P2flf0H3C+U9rfoIJ1r6sV8PYE+iIivY/KI5Ft+j21+dmqd77qczVDviFPDyD3dVK9WkCDOOhoQkkIvhWCRxK1L7GbrO8R534uBbZBaFcKvRRDj/jACyH8Qghjoj9jfc9Y3zPO85zz4nfx25ukPxSoM8CXJL6poTLgSkK4q/ClsLtJmjvXZnSTFuMFSV6azRckiTXtcdxk/Lcnj74zjyeIyZeNDxOEaWA1dx3OnnMGF+07VkuPIIcG4nLa2DeRA8I8MplxJ35kMl+YzJcGckAQA9I4II0Ds2lgJdp2c9Npq884MOnbdnPHSnZt5rbN3nA6K7Oz9bnZxryrMe+qzboqzrmKc6Y6M1udcR47reX5GdzOqbhmzmZsJYe1ZrcNzfa+2Taw2IcOx3DG2XXaWw5z22np2qw41x9azCOz+YIksenO6N69K4PhPWF+T5iHBmNPrx8Y9QPS+I50XFnIrp1oWp2bIWZRjebl6KIsx5TooqIuQZgHQl7gMqKQBhDP3F1r5qCENC7dJyQpCVFCgpNN+kVZxjFZoB+L40KYkkBKAnhMbxGAmAQSUM5C+BRK/wKz99g8u6rw2NxsIuZVgfwxpA417oEQvI+krezS4Uruzcri/nJmP5c+KuYOC5lnMXUF8EXAL8vCWgSsqqCIxDzgchKbg9zEwCYvi1gRDz/flxVQVGFOFvGDvqCAnAqWFfEhEl4i9kgVSpCpIqYUFc6iUlURa5A9A8EGEsf6OQqDd76rCv89pK+qbBl93Mgvy3xZEepRWAGhGgg3YagpBGphV8nlLM87G+75szlr2e0oux3nbmeTDdQBW1XEY8C9DgTvQ7qYVnfzS+XC8mEh+6qQ2sssHBRS+/nFzbh2H0n3FRmb82I33gKSlpG8jGR8KMxIXE76hu4vpj7++hUF5TUpFRMe8OGnHHVCh8uUZ+h2dAlyYvHctpibJNExET2CHAdp7pHmNkk2reaO0953z9WYQE2gGog/iwoVme2HAu2gr0X5KlK4ipi6ioU1r82xfhvpTyNiXQzXEf0qRq9L1P2IsptefFPMHa8W9rOp3aXkQT6zk0tvLiTwqa4A+RVFwjfAsiwU4Kf69nkwjuy1tQ9+i++BZUVck8VHivhS4V4jqqIwDcSWZfZM48qKcB0/iFg/1uviO++rb2rt/YHf9LeO3/+Q6/kDtfq/TfpzwJ5AdovzPeM82Lj2Oed/wQdeCsFXYugbIYWfS6GnvH9TDG4B6qUYGo+aCYHXUvAM0iVAt2X+MqZcRbWvF7SeFK76Z4+dlqbf1w+Fev5A1T1X87n6HNVlQl0m1Ah4mn5PK+A95/xHtHeL929J/g4dbAQ8Q394l/KH/R4q4PX7PBPSAwAQQgzDjKv3P4D07gOeHnkD1bC3HvAc0J63lLsU8tT87i4dHPD0KAKuUtplAo2Q0GfDfTo0EtkREi408CGhXsbkX2XjV0vaMCn347CB2LLCnanCgcg+5/yPed8zGHoOw8+l0Ash+IQLPOX9TzjfY9b7kHY/oFwPafdj1vuE82Hqj/HPeF+y/m0uuM0G9kXqGHDngG+ocgUJJUA3Fe6McletZIvAs/HG8VCe0di/Xn+fKM/jCaM+SfR/x537vokcjB3uyZGRHBqIgYEYEGMnunE73ET09aaB3jQ0EBirfdI8NJJDA3FpIN8ZzFd68uMGM2Hok8au1dS2m9tOy4T0WJe+47A1Hc7a7Nzx/MyJa/ZsduZsxll2OKsOe81uq9mstfnZ+txsc2625nSU7LZzu6Vqs7bs9prdVrGY66S5bTHjSn7HTHRt5taMveUwd6zk0GK+IElcmRjop6/0pkuDaYQnBgxEX2+60Bsvp41XPyN7en3DqK+RtqfeYFIAaQHFAYwqakJGGVkuAnFN4rHpSxGAJJIXZBgHMCaBOBgb2CQg+ERIJwkhjhSE2NQuKUnYyX4RgJQEsqq6BOWkJMVFEAcwLYqPJeFY+6NP5NWQWFOlmirgreVzlTtXuVPEtGLqaQQ8h3SBCxYR2MlnXxcyb3LJrXQMz9tvZZIPI6gI+CICqxE08T7BSrc3kTZRusVpXBawY7cbyC0jvqCKGQWmkZBDXFGlNsXgGylUBdS5TJ0ipi4LDcSXFeaj4Lly87H43R53iKmrXAVxZ5AtK0IzpjaiWkkGZSFQheGqylRVtoq4piz2ZHkI5b6q4agLYj8Wb8cXKpH4WTT2AoCNpPaouHR0//7JysbO2srW/ZW399f2i4sv07FVyOd5el1FD+KxFVUpKPJqBE4wdkPwlcveFP2V+LHFOwJFJOc1mIyJRcjlZW6TpQ59ro7Z2jYZekbjhcl8YTL39abWPX172tTXk12juWey9EyWrtHcNpJt0tK12Xt2R91hPwnM15jAmcbU+dA7x3zdYW84HSe0pyyGGgifioSyzH8/VMZ+JFGhCdgyoh+roVUhtB5V97Kpw/zSQW5xdymxm13AjZsHEbSqghVFmkQB8jlp3LP4tm0dti2e3Bv4FFhAUl7mlxQxrwirMv1Cpk6xcx0ay8eORWR/02Xf1IX9Ayc3fzhZb367ie/t73rUmMxM3FTn/WNf/PfEGWSPAXMMmGOROgfsqcxt8/5N3vuc8//GwPCaUOw5H9gC1Csp/EQKPOZ9TzjPK+A/UuhTla1qQndBuYyof7aU+LN05BcRaSQwlwLfD4XqLldjfm5Ihd4j6X1UvlSlFhPss+FWwHvun38bcO1zgV0Q6NDBmt898oX3w98gvSAIWB0Hd+t/S/U+GPRPSH/I0ZeeQC3kbfp9b8Ous4Cr4p2veebfyeK7mHqxoPUWlIuk0pf5DhXoUcELWbiIQmxlexVHv8zELheVYQIO4rCJ2IrMnsrckcBuc8FNMfgUBB8Jvscshnd4ckR6KQSfc/5nrO8J53vC+TY5/1PGi2G/yfompD8EzFuJPRVZLF9VQVwzIlSlcHPW3rGSQ5PpymB4ZzRey8+Zenr9QG/ANXNctMcNyN9VWqd/7UeHi/+TzL5r0vdubt/pTb1pY9dg6hPWT0g/MpIjk7U3PTkNjGfyB2ZyaDFPFO+x/UzPbms7HI3ZmeMZx4nTcep0lOw2XKKvW8i6mXjrtB47radO25nLce6fK1OeFhfsCVQT0G2J6lD+xqyzZbMMHY6LGcfQYWs4rC27tW+zjCwE1vkf6KcvTMa20dQ2mnoEOTJbL632C4utT5o7RtMHg71rsbXs9tqsazMcTotiUoRRWY4BlISoIKM1KD+A0gYQ74v8qsilZRnr3Y6n8GS0ICPsVndjNA9MFusTkhQXxQVRTEGY07TlWAxHIRrNyGhBFBMSTEB5SZIeS8KPmNN/53NEZrEAWRn7iKhsXeXqKlcF3IkmPQbUMqBXI3A7n9pOxXaT2l4uuZtdeJmOPU6oK4qEjWiXJG7yQMdP8Im9afbatA2PpBWRmAVsXuaxqUkessuykJNBGoppyGYU5iEIHat8MyJUFPoc0DWJqyLuPPINEbFv9OC/43GMm7sVLJYns1VFrMpSWeAaiG8gvqlIDVWuKPIxlHY5djMczkhMkg0uiXQ05EswIRTyS0GvFApw8zOU3w3ocILm4xQnUBRkqAWGS/ChYgSsRlABiuNsVRRyQFpWAPZuzwMhK3JZwOYQn7u2tJmUsgsij6cUiwCsSGIO8WuCkAH8A4benXd1pi14/mY0bbjSk+9MlkvCMjRahnpz12jumyx9k6VrILsGckBYB6StS1jaRvLYaenMzZ4KgSobuLTNVOzWjtXyOjB7xvpqkK3LQgXyJfhbZGewce15hG/K/KnMraNwUaLXo+pOJrGbXcD/+1uZxItU/EEEFQFfgOLYqB4I+FcxeRfHR9gjKY+kT6yKJ6efpAzSSMgB5hGgXit8WREmy2A/BKI3G89/1Pi2fv7vl9z/WN2H3/vvflIGKCH+BMNepHBOj2fv8VTZCz7wnPNvsr5njHeT9W2yvsesF5P+Get7Qnuec/4tKYwH97ak8K4YfA3Dk1XJQULpxeRRUvmQ0d4vqZcJdBFFAyQNFbHrcXfDgUtVGsVgPwa6MjeU+VbYX3bPnnnmX9P+fTHQpgKY9AfXpA/4vVgjb2JkoyjK3bt3fzfSN4L+ts93RnkqAXfDPd/0uL5W4Ydk9GIx0o3Cd0l1KPMdKjDgqK+j6EMqgh1sf52K/Vkh+SGlXSXkqzjqIb4ucyXInfLMIR3c5oIvhOATzveM8W5Tvv2wf5cP7QnhA4neF6kdPvSKCzzn/LhDjzH/nA9ssr5XXGBcvQfMW4k9EahzwJYQW1H5RlRoILbrd3Wd9qHJdDltfGc0vjORV0biykiMCOLCRHx8dyJWY9RPdtzxiP6IIEaE8VsadpMVO8PQZMAi4TiwRV6fMOA9pSsjcWkw4Vy/ZyRGBkvfZOmbSPxPDQxEl7A0rNYWaW+bHR3S1iOtk+ibbQPLR9JjvfqO3dF0OipWe8Vqr1qsdbutZZ8cBcw1vbFlIHpW+4XLfUWFrnj6gqffCUwb0gPIdtlgxTVz4iRPZ8yns5ZjJ1mzWRsWsmcmhmbTJWG6MBmxCi/W28G9hoHF2p2faYfcLc7/IRhqcKGOQLUEbheK6xDkAFyCckqSMxLKS/IqgPeBtAqkIuCXJS4L5IwE0wCmAUxBmALok/F7XMyfwH4ijpvTtNWFhY10eiOdXk+llhOJrKomJSkOYBIpOQAfS8KbH2/2/mbScPPpUFfZikJXFKamcTWFrQKqKoUbEtWU+LMIegSYHGRXouBlfmEvlzjIx7ezCy/TsYcxVFQEbEK6JHFpEfuNwjyCORlgv7KbfuTLspQVOUy+tEDlEJ8D2M6OzUl8QQAFASxLQgHyy1JoX+UrKluSwxWZbkCuBtkThaooTFVlq+r3zTHdrGRWFYCp1tD4KmLO+UBZDHU04W0cHkbAjiY9RWKWCrAO0vHVZ4a7unu3bn2h032l0/186vZXt6Y+0+m+0Ok+w1oct3S3dLovdFN3deOF3c90uq8+/8xpIWi3S6OpLJRyEr/EUwWRTQvMksjmgbAsCzmJzUhMDnI3SY/PAQVxDPslSVgW+ILIP2KlAgQPeXHHH2xZ5lsOc4cwDvSGK6P5A2m7MtsuCMvIZO4ZiQFhHhrJvt40MBD4g12D6cJiq1vIS5OtFPKc84G+x33mmenNOE5oT0kI1mUOk74CedxX/k5yKEIVcacqXZe5N4hfRvQKFO5HlK10bCeX3CuktvPJzVTkQVRelcWcxOYkMSsKWVHISWIBAhzLMpwcgD6eb2Qxd8PK6Cbms4BfkqQckJYlbkNid2T+WObPZea7Jgc/uZP/JbPh7xri+13r5z/WZf/eZ4VPZfYV4SbpjwH3ivE/Y33fIP11Qv+S9T/nAy/4wLYQ2uaCLyjvC8a3xQdf8IGnjHeT9W1xvgMpeIqYEmTqqjBcUC8z8VFa/TofvUgpw4Q8SqijhPp+KdoL+htB71Uc9WKgm4AXi+plTL5QxKp7rup2nQR9r1lfO+yvBNwjX3g/9LFPHwqFRFEEAAiCgNftfoec/oCnLz2hRtDf9gbeBN0l33zTNd/2uC8k7iqO3i9q75Lqh4Q6gnyPCQ0F5kMMXS0oPVVoQabFBPuAqXL+MuOts8Ey7TtjAsds6JgN7QfcOwHPNhvY4oNbbGA75N5xz+wEPHsh3wEVOKACu5R/i/Fv8cEtKfxSDG1eI/8558ek3+VDr0X6jUidSUwJMmWFKWlsRWHqMjfg6a7f03HYcCbdI8iuwdS9Z+oRJLaX7RhNPSOBx90vCcvQoL+56jYh/cSBZjwe/zGhv3a9++h2bxgY9Rek6YLEu8g44ycvCMsFYRndMw8M5h5BDgjiwkT0jETdYjl32MpzrqrL03C7G/NzjdmZusNRt9lrVseE9G37R//Zlt3aszjrhPDoAAAgAElEQVR6FkfPiu1lzV0L2bWQPau5YybaJNm1WPqzzo57tuJxnrvt5/O2A37+iHeVeH+DD3bpwDDgu/D7vg4E+6FAa362bibaBv3AqMdnmq7JeElaBwaid8/Q0es7Dksz6KqBYClCtfnw2yhTi/B1DbzRwA4EjyW0zqMckLMSzAogK4CcCPIQFBQ5r8GCrOQhygCAeb8oyYuSnBTRZKUed/Ex4CfIT0K4pKrFeHx1YWF1YaEYj+cT8YymLQCQgPKiouah/EwS38jiH076SbrzbdJXFb6MxnXyc00sRbB+tVRVYVUBR1F1BQopmc9HxGdL2m4xuVNYfLagYk3THOSyMocf38sqzEIpJ4OcDLI33Ehxbz4L+CICGYHNSXweSSkg5CNKDqIsQkuKmAFiToSrkrIKlWVZWlbE7Yj0FjJHor+iMB1VaiC+pLHnKFxWaVy6L1/L533ydLtJ+jKSqoqIxbkaGt9KgGpMOpbZBzyd8Mx5yXvTX925dUenm9LpbuluT+m++Pzu7VtTOp3uzp07U1N3pqamPv/889u3pm5/cUd395ZuSjc1NXXnzp2pO7en7ty+ffu27tYdnW7qjk43bzXHRD6rwCwUlhWQVWBBkbOAX+IpXMbIQe66W/GR9JNYREIG8BnA3+elnCyvSeJTOnQ2565byDZJ9q+1KXHTbeK0OxmvwZ8dGI0Du71NkldGa83vPgWhBhcq8f5OyFeGVBUxDcTXII9J/1vuFkWoy9wpouoydwCFHOKKCKyq8st0bCeX3F1ObWZi6zEZN+OXZWlVU4sKKsgQRw5IWUnMSuK3Sf9p5x7X7SHAX58XhAIERSCuA/4VFF5D9gyyZYWpKSyOa0H+j6T/BHL/kr7y33XX/fALuPl6/MO77D/CoUHlT2T6BLInEn0O2LcS+4LyPmW8H0nPB14IwZdCcEwxNrDLBA7Y0B4d2Ap6XlLeV4x/kx2XpV+JgUM5fKZx5ypXj0r9dOQqqnxYUP4sF7+KwfcR5VcLia9j2tdxNGDCzZDvV6kYFtK5TGmXCXQZk2s+V8PtPvd534Y83YCvHvCMAtQnpJckCQDA87wgCLIs/9Y+vd8b8lEBb8rrPuCYkXdM+oOQ69QzX5+b73h9rbC/h/jLCPwQgR8UMOTpZtBbD3hqTKDC+Mthb53218O+tkRVOX+V8zdFqiaEyiJ1Cpgjxrfrm9/2zO5SfjyqsBP27HqcO0HXXthzSAUOqMAeHdhmA9sCtQ3ZLUDdJD2eyMOkP5HoEmRKMlVWmHOVKUGmiriGJjYkphX2twKettfVnJtp2B1Ni61usdTM5rKZrFjMDau1Y7b2TZbBNHlpNFwaDbjpfh2GocmAdUJwcR7HWD9Eb5h413YNht5EDMdkuiDJAUF09Ma+3nRBWK5I65XR3Nebu0Zzx2weWsyXBNk3kQ2r9WzGfuaZr/o8jYCn6Xc33XPNmZm6zd6wfEr6rsXSsVpaNnJgm+nbHD2rdWA198lxs2BAECOjYTh9b/jV9Gja0DMa2yZD02ToEuTQYOwRZMdp7wa9bT7UgkxT4VpR0I3CBhequB11q6lDTGx8if60sTdt7JqMfYd14Jnt++dqLsepneh4PW/lUAPxTUU418S3CGwqaENS0gCkJJCS5DRAWaQVtNhyLFaMx9cisaKm5WQ5DcDiOGWX4xJKSBDr4d9I8T9u3uPPphUtp0ZzajSrRFIRNa2pSQhx5T8vwU1RPEG/Z07/ia/lTZWMmx4hNVWoxqRKDL7RxFeQ20TCVlzdT8X3U/F12l8EYhLJUQSWEFiPybuFzFYh+yQVfbQQKapSBrIZxGcgmxbZ66H6cZP+2pF2PJqXEdgiAjlJzEOQUxSVpSMClxKVlKrEI7IGhbgoLkFlCaEFKCwh8CKmvdHEIyVcjnAtJNQBW4/wx7K/pFAV5eMecFXhsTb+dz1JmxGppYolQJ8h/k0UbXAUsptNOt09ne4Lne727Vu37965fffOrVu3but0t3S6e1/9XKfT3Zq6o9NN3bp1687tW1O3dJ/fujV1a5zZT93S3dXp7ty+dfvulG7qtm7qlk6nu6PTTX/5mfHnX1qn9W6bPcaxOUXJSuIiEy4Cfg1JNwfvP4ks4LGzX1IRliVpCYEVgX0Q9h7OzbTMZJcgRybzyGTuGY0dvb5vmL4wGUfXL9JLg2miATA0mWo2c8tq6zlnapTvXKZqkK7IdE2mqhpXVdmKzJYktgy4qixU0feJ55RksYH4UyVcgfyWxKdkvqigIgKbyejLTPxFLvFoMVJURTxxuSzDHBRu/I+Py/Lf9/PemN7AmM8BKQ9BTuJxir8K+ecyfwj5U8BUZBZvheC4CfubnPsXwPkPea39/zTGv8Nr0p8CpgS5m6SfFJuxUt4OF9yh/fsh30HQ9yYUeB3w7frc2yHvNht4xQV2A55dn3vfN38cdJdCvnOfu+z3NKhgmwq1KN8FoOtBd4cOX0B4pcD3GujSwZrf/U4FV1F5FAFDTRpqUkdiSr75ustV8XpP/e6B11vzuwdBaifsC/ncYb/H7/NMqvc4p5ck6beQPnSD9Hs8M/KGasFg0xd4y4VO/d7a/HzPH6j6XA0u1OZDPeZ6Dp8JDQF3GYEjVbpE4i81+V0E/iIduUii0YJ8mUBtlS9B5hgwh7x/Lzi/H3AfMv49IbgrBg8E/2vaOxYZhsIZ4I8kZlcIvxKoF4DehvSkgI/79Jj0b0TmFDDla9KXFaYEmYYmnkTFkirWVaGt8h3IdgSqR1OjMHURCvTD/m7Y36MCw3Dg0uu9sM+MTNZ3hPHKZLwymi8NlpHBMjQQQ4N+YLjXJ8ekxyq2mPQ9wjQyWC5NtkvSPiCsfZOlT1iHZvvI4ujeM/RNJO5td03EJWl9T1gvp4m2nmyS5pbNMrRZ3pktI5O5abGezzoqc466e7bjcw98rsH8bN/h7JttfcJ2k/R4xK9rIVs2smmxNixk20L0zMauSd8x3BsYjVekuUcYsGztO8J0RY5HDi8J8sO06cpItEmybDGfzztqlK/JhGvhwNuIcIqYBh/sBeaHM/YhSeJiRt9m6zrt7Vlbc9bcsBnbBv3wS/27z6Y/GGyVgLtPU02ePobUgcyvqOKixMeBGAfioqwsqbHlaGolnlpNpFcT6QcLi6vxeE5T0zJcgFICgjiUE7IaF2Wsh49Jj/N7rK4zkdlJITWrRDDsowgsKiiJ5DiACQnmRPBcEE/lH4H0N+d9bj6Vqgpf18RDgXrFBJdmbYHP75A6HXl3yvLFXcPdW5ZbOtMXn3/5s+lbU3d+ptPN/+zLHM9vROP3I/KyIi4K4QUhnFWEDOLTEp2B7M08Pge5AuRx2ldUpZzELsvSIkNHQiF2ft7w2d0vb+mmdZ/d+/zLuz+7o7ujm5rS/eyzuz/77PbUbZ3TaEj5PK8k+khjSlGuCpgqH25o/KkSLEWYqsZVEFdT+Lom1jXxZnX307UlEKpDqqMJTQ1uc1TUarXdufu5Tqe7rbvzxedffv6zO7rbt3VTn9353GAkzE57Eiml10e7L1693ts/2t0/3N7ef7F5+OJ5eWf/ZHdv/2B7Z+/V/taLoxcvjrZf7R/umM3EvMtpt5FffH731i18Wrij0911TE/HGKaooDwQikDMC1yao1cUOKla569bGzjH3eC5osQlFa4AQUaB9wXuWch3MusckLa+yXKtPEEOSOOFyfjOaLwwGYcG/Ug/fWk0XJmMw+tKVWXG2pmf61CBJqBxJaMi0281uhLlKypbgkxJYiuQrytS7Vu1kJtxDoWmwp2pVBlwmwIXl7iCIudl8VEUPU1GnqZj63G0rIh5WcwBKSeJY7P56+J89jp3v+k9f7Ni/7FJD6SsJGbwcAOS05BfUsQ04goy90wWDyF/JjFVwFRk6hPS/8ZyzuRW/2l5+cOPHZ+cxX+q88rHl4zCHUMKk74si8eAe0n7njL+F3xgk/U9Y32Y9LsStcMFd8K+o4DvKOA7CQaOA/4Dn+eAChxI9D5kdgKebZ9r3zd/GvbWearBUW2OHgBhhIQmGxjKTI3yNuhQnaWrdLAtUd1woOqe69LB90j6OoreqeDruNLmw2e+uarbVfP6Sj73wO2p+VyDIIVn78N+j8/rnkzk4T69IAi/rXrvD3gCfjrgTbtdezwz9IYqVKAeCr2UAyd8sOn3Dfy+VtjfVvm6zAwi0kiVLiPwfVT+Oq78IqF+SKhXUXmoSf2Y9Ce5xJ8Wkh9SkWFCbqniOaBPAXUghbcY7xY1/5r1HfPht1zoSGLeKNKxyp9GxLOodKyyRzJzAKk9QONxhpdi6JkQ2OT8r5jgNhPaYcM7PHUkhHFdpSx/LBPhnaiJ3dNH5UiFq6j8WHAqJlQjbJXxdW3Wyy/0A4uxT+gvTMYLvXF4Tz/QmzCwG4ShYbrXIwwDo/69xdrRG6sm8o3e+Poe8dpAvLXadwnitcX82mQ6MRJl0npBmoY/++ovzI5fGcyXBNkzE12TvjX9VXPW2nfY6w77yGy+0H/VM02/Ix1lwtlwuBsznsacrznvb815mjMzTZutYSEvbPbWjLPmdNRJy9A+W7eQLQfRI/XNeXNrluzaTX3SODG+65PGvslUN0wPTaavCVvfRPb1pkuDpUWYL0zEQG94R5jek8SFydg1GJqG6Z7V+lYOVTWupfJNQNcBW0FcOSZW0mgkM6OQe+iwXZrNl2bziCDwA7StJ/rTxivS2nTajmnfpiqmRX5BkGOSGAdSWoY5RVmJRNZj8QeJ5MOFxeVEYiWRKGiRjKLgPbqUBFK8mBQhnq2buN6lJPxndbx5D9Q01DIomkHRrBKLqzAOpAUgJ6AcBUJGYl5A9hz87q9/rCmm8DVVwPO9+PVclaWqIr6BwTdauKIwXSTXY/EHAv/5l19ga+e7t+9M6W7psJrkLd2d27du6XRTult3pm5/dufunalxOC2GbFTOy2KGpbMilxaYjMQty1JRFDICm5W5RYnOQHZZEbOATwtMUUEZWdZE/vPP7tz57O7UndtTU1O4Tv7Znbu3dbo7ult3b40dJ299flf32V3dlO5znY4zG98m1GOBacdgFVClCFNWmHZcrkG+zIRrElcCdEVla6pwDuiaKjSiwokQqqlCCTI1JLZF9lTinsmi7HXrP/v8tk53Z+r21JTusy8+v/PZXZ1ORwX89wuFdvn8v//Lv/i//umf/uvf/+M//8N//Ie/+/t//Nu//89/9Xf/+9/9w//213/7n//qr/7L3//Nf/oP/+M//U//4Z//+n/5f/7pP/3f//iP/+ff/u1/+Zu/+ee/+p//j7/76//6v/7Hd+2mEAr87LPbOp1u6vPbd6buTt3SMUHvclxO0oE1JK0oMCVwuET/7Rx3TeKyMhdT+aIoLEvcI45+THkPXLPnNmuLMLeNpq5x+uqre6NpQ5cgB4R5omHVNxi6BkPPTAyctuG8s8r5q3ygCsM1lapHuHpUqGpcReWbiG3HpLomliBXg3wN8mXAVTXpu+6fJmIriGsg8XVE3BXZVcgWAb8IhGVZuB+RN+JoVZPGwn9AWpKkyVz9Jz/atz948yvx+F4BiuOqviKlZSYPuFUoPITiJhB2AHcMmCpgJo+4fwldyD9mfCLU85NdxjcvCf+hhNiKwpzL1IlEn/6/3L1ne1R5dvb7rywJoVC5Sqly3DlWKUuARO6mCQ2IjFCsrFIllSJ0mJ7kCY89HQCFykpA04ByAHp67LGPfc7xOX6+gD/HebEFQ/c0Mx4/42fG57rWi0KES6hq799e63+v+8ZhH4H34QiXcHMJNnMqvCuE/ToNceY5/Sw24KZ6aGzATdyi4Kuw5RZm45b0+qzma8baa1bdAG4LMUiYRqIuPNHkGm9hbh9w//Bw62QjO9nQMO5mR1xYnHWOMlgEtgas+oDdGITMIac5ajeP2q0Bg27IaPLAtiuIadhhjllNEyb7VcgGmQx2s8FiMZnNZoogKYIkSZKkKYIg9txw/5BzjtXCndPfQKExk4UjfRdqGITMEbMpbjTEEXuykRxpJO8cbBhrd421uybaXOOt7HgrO9rGjrTQsWZypIn44FDDnYP1Iw1EhNOv0lCgHuumHJdh41XY0INZ+mBzH2ztJ+B+F+5hUa8L87qwQRbqpaEeBuqm4ZsUdA3/HekvwdarkO0q8l3Sv36rXqc+fGe/k/skhWlkiEUD9Yi/AQlR9qhJl1Rrh5Tlw/KySEXpnuddefmYUpFUyifLKiNl5T657Iqs4oysskUkJHl8TCiyAeAAPCMAJgCwEokVAAgAXCDoFEm6FKp+jdonq0jIKxKV+0flFVNa1bDNMEVho0ZzuEI6Wl42Ja2IyeVDcrW3ptpbV+fX6/16fUBXF6quCmvUwypFWFk2VqVMKOWjtdXDKkWytjaq0UTUyqhGFVMqEjLlhFI7IVOPVyiT5fJxqeojWfWdUkW8vDIuK5+qqLgtqxxVSccU0jG5fLSyckouuyOX3ZZJxyulyXLplELdb64OWHVDprqgrjqkrwka67w2vRc2DRhrvLWakFo1olJNqbW3Fcqxisr4vtIPVTV3yhVT5fJhmbzXqDuPIR0Y2Uk2NtFkC00dZOjDLtfx+vp3mprebWo51dx6jDtob2jsZF0HaOoATR0kiEMo3oYTzQTRRBLNFNlC0m0E3ULSzTTTRNFNFN1MM6+rhWFbWVcTTTbhJHfA30TinRR8mUW8zJ88FeTEVm92CdzrYczpYSBfIz5cT8Sa3L0NrkZdTU2RSCgWCQQCHgACAEoFQqfBeLz9wPmT77zXcfjskWP1GK4qK3+FST6fzxfygFZaTlnMJxrcJxvrj7BkB4meoMkOEj3qog6S0CEKPsJgHTjSSeCdJNFCEZbaqorSYgAAT8AHAEjEwn0SsV2n72hsOnP46Nkjx053Hmmi6BqVipuic99PhVho3Ff8rsMaaG0MNLA+wuZDbWEaiTaQQQYJsMhwPeGnIC4sa4iCg7Qz5Mb8bjTAYn4CDrc03HDT+mJRCQBCAHgAiMVCAIAAgAaWuXHp0vzs3IvVla0vv9x+9GhtcWEln384N7e6sLC7/HA9V3icSq8uLz5dKDzOpH+98uz/eLG79mDpZx/e+dtPPvniJz/Zffz4H9bWVvL5pXv3dr589FU+7+m+oZZVCAEQC0V8HhAAYKvTnmx0HSaxdtR5hCW/d5rdSWHHSLSTQppZ9CiBdVLIWdh53m68oa8LqdUJmTIhk48oZB9USqeklQlpZbKsMllRkayo2HPEUspHVIoRjXJEo4zr6yL62iGdNmSoGjLVRKyGuMM8AtmGUWuEdAZpOEAiQQrlYB9m30p6bj04TGO33Nh1HH6Hgo+TaBuFdFIIZ3FzmEY6SHhvOEESb/t/fbeDf/XL14t23BE+t6ZxiMEP0shhEnmHxM7QRBdNXKfQARIZouD/7qT/Xqj/dZLez8CDhHMQh30k2ovBlxHLOcS0J8HDrFcI++ucmx4K9jQwfSzhaaD6Xfgt0tFPQX24oxex9jqs16y6a3ZDP2kPvkH6sWZ6ss310cHGJEuMuVzjDa6JJnqimfj4QOOdJnaynppspCea6CSLxTFHwmkNmQzDRrMXsV9BzWGnedhiGDfarv8e6Umc4EiP4/gfm96/Iv0Bve4G6uRIH7FZbuKWAGyN26wJi+mOm7p9oH68lf3gUGOsmYy3UInmV9VKx1qoSBMRbcBuH6q/fbBhtJlONBBDLszDQB4X3E3DXZDhKmruxa23HIYep9FDI94GwsugXgb10MgA5egjnb00dIuCb5DO65idc8O9gJgvweYrsO0qYr+GO/twx/f29G/ezb81vaRhzuzMz8CeetRXjw4RUNRuTe4r/1hbMyZXxmWVIypFVFY5XL5/aP++qWLpZK3xVHmlQyJSFol4AACRAAh5RUKeEIBiEV8AgETALxIKuFNLIOSXSgRmMe+iXDqmVH1UXvlRhTRRui9gNyZYfFxnClfKRyorPyirGFZKI3JZoEbjq9F4a7XeWm2gWjukUcdV6hG5Il6tCinKwqqKEbVsTCEdKS8fkSui1ZpJbc2kunpUrp5UVY1UKkYrlIl90uR+eaisbKyiMqmoiKvKxmT7R8pL4xX7P9wvTcpliYqKcZlssrKCO4AYL5NOypQjGvWERjuhVE/IlLeVVZPq6rHqmtG6uiEUCuPOYactWlebqFSMllaMllck5bJJuWqqUjEhU0arqwYctvdxrB0mGlEXR/o2mj7EModdrqP1DccaGo83Nh1pajre2HSivrGTZQ9S1AGS7CDIoxjeQZDtBNFE4k002UzRXNZtI+PiturbfrebtyfQaySZZpRqw5gDJHOAwk8w2FU35nX/6VfyGyPBIIP8rrNHzH4K8rFEP04c1RlqS0tEfCAAgM/n8wCoUaneP3bik8RI4e8+3Vlc+ufV9d9++fSfVzcez8z96pNPQn29jQwjEu5xWgSAbF9xnUIOGXSHm9xHaKoThQ8xeAeNHMSdBxD7AcR5jGU6aZowGFVKOY8HBAKeuEgkkYiqVPITh9rvJGKpn/1iZ3H5n9c3f/tk5R9X1p7MpX/18Q8ifX2HaNd+oQjwABCJRAKhlC8gVcoTTkeYpSI07oOtYRcy1EIM1CPBejJMEf4GLMggQwQ0zMAhN9ZDWMMt7JCb7rRbFXxQKuRxIjuJRMTnAV1dVXTQ+ziX+2Z1dWN5eeGLu6uFwtbi4rNM5ulCZnthfjuT3ckWtvLza/ns2mLhyXx2cW72/RPHTx891uJ2G2tqDNXVVQrF8QMHe7u6Ur/61b88f76xvLy+tLTz5Zef/vjH73V0CAF3fA9KxKJ6BDnqYrjjjLf1vp0MepTA2in8MIl10Mh5h+Oi1XjFWBetqk0qNFGFPKqQclbNSblsskLKbbgkZPKEUpnUapJazYhGnVAqRzVVIxptQq2KqpVRrSKmVce06kSVJmysC9oMIdwZYtEQjYVoLExjgbdPuYdY1M/AIRrrdqHXMOgdCj5OIgco+CCBdDLoYRbrIOFDBNRBwq+b8v94vV6pf/Osh5v8d9BIJwG/Q2LnWOoSQ3KkD9HYf2vM/xXWW0nvgv0M3E84Bwmnl0R7MedlxPI+auZ87znMcwk3fQzaz2IeN93PYt4GylNPeljUy6B9qO2mQ98L2686DJdhYy/t8LvRIIOEXViiyTXRyt4+UP/xocYEi4/Vs1PNDXfa3HfamaQbH60nppqYD9rrPzjUONXuHnXhI5hz2GqMmq1+xHEVN4Wc5rBZP66zdDu+RXoSJzjSExSJYdgfU+RZTJzvfZtBdx1xjJksIZs5YjH3I5aA3Ry1mGMmw0fNrjsHG5JNVLKR5PJsOOfeyWZmrJlONBBRFxpioNE2dupA/XgrO9JChxuIQdo5wDhvssh5yHgJNt7CLTesdT0Og5+BffVosJ4MuImgC/e5EC6EasCF99DIDcx+FbN1YXs5Qpch81XEeg239xNOTisRZN6wP3ShXPzDm/U6rDNMI0MU7COdHhfsrydCLB4k4FEKCcGWQae+317jsVSHatQJpfJDddXpag0kAlXFIpGQD3h8gbCID0RCICgtLe081FHPsK31je1NbSKBGAC+QFJUBIQVkpJ9PFAtBI3F4h6lakyh+VCmjNSofBp5VKYYU2mTUvnY/vKkUpqUVYzJ5SMKWUypiKgUMaViRK6YkCpuVyg+LqtKVqrGa6qTFWUfllfelkljtcr+aqlfqxjSaQM1Kn+dul8tD9VVBarUQY0qUi2PV8snK/dPlBdHNeURlWysXDFRqU1KpYmKijGplJtqJuUKzlRkADN5cYsXNXlhYwCzBHCbj7IHWCiMwWGWCLuwIZsxqlAmysoSlWVRtTQgKwvJyoe1imGbYZDBzrnpVopyUy7OD6eFptpZ+hDLcGb1na6GDhd72OU+yro7GPYASR4iyWMk+S5Jn6TIwyTRRnJie5qb5DdR9AGSOUixh2jXQYptJ+g2nOJUfvWUqxFn23H2CMkcJ/DzNNrr+iO+YN9bfgZ982+9surEh5uQEAn1ICir0eznCSQ8gVgoAkJ+mVB0oq3t8x/+6OXDRy+XH67Ozj69e2/l/vTGdGorndvOFp4vP3iSyTyZz0e9g8YqNTdvlwiEPABk0grMZj5A4ccp6gCFHiKQkwx1giY7CPwATRk16hIeH/CAuEjCKddaXcwXP/vp+mJhazG/nkrt5vIbc6mnd+9tpTM7+fyvl5efLy2uzc1NhYfqamoBTwh4wpKifWIAZMWSs5Aj1NIYYYkAbgs0wIP1kJ9Bh2k67Ma9lDPoQsNu3E9BHhrzNrvOwBZZcZEQAMADAomYa+X7bl7LTd/95tnKxuLik0xmfWFhZ3n5+cOHK9n07oOlR9m53ULh6/z807nZZ4v5zQeLX6Zm/n59pf/mLSEAQsDj8jD5fCEAfCFfJARAK5fjNntnU/MvPvpo4+HDl0+f/tP29qljx0QiASfrq1NqjjU1HqbRThI6QpHfs2JO4wdZ/ASOdVDEYRI7RMGXbI6rZuNVk25Iro5UKoIymV9ZEZdVJuQVUXn5REX5hEw5qlDGFYqIWhnTquNVmqRWM6rRjFRVj1RVx6s0sSplrEoZ1SoiGvmwWhauqw6ZdCHcOVSP+xmUc8P9Az3lEIt6WThIw90u9AYOvUfDpyjsMI1yusvDDNHJoJ0U0kkhh0nkCA5/a4/uP1ZvLtPv/SgYooNGjuDwOzh6nqGusMR1Cukj4T1XxP9/1V9Wwfd20qNeFuYo4yVRLp/+fdR8zmnowqxXScc13N5NQv0s4qnHvS7Mw+L9FOJzkz436XPjPhbrQy23HIYe3HkZNnahpm7GPuhG/Aw8xKLxRnaytf6DQ40fdTbF3dhoo+t2S+PtVtdEM5Fsosaa6YkmeryFGW9lJ9vdE030KINF7ea42Rxw2K5hpiHIErYYxnWWW/bvIT1BEP8p0hvMnHOOz24KWoxRi1sVDaQAACAASURBVDliNtxpoG+3ukabqPFGarKRvtPi+qDVfbuZnWpiplpYDvYhBko2UVxDH2ukwm7cy8K+evQGi5yDdBzpb9p0t+x6D27vo+weEvKQkJeCfTTkY7E90lPwm6TvgkyXnaZriPUGZn+zp3/9cdnLomb2QiDeJL2Pduz5TJFOP4WEWHyIwYM4GnMTA05TzIVGSGfIbpwk8YjJcrOs0lyxr5wHBK+0xxKRuKO97YtPf5n/9NMnc+mv7s++XH60lioU/u7zuz/5GeVw7tsn4ATJwqLifTw+VlxysVyWVFWNyyqSJcWR/cV3lIpJhSJaXjFVLp2UyT8sr7xdXjFZWcF5+IxVyiekiqlKxbhUNV4qS5SWj8hVcalyQlHXwy99FwjPCiRnRUWn+JJ3hUXHgfCUqPi0sPicaF+/oCxULh8vk9/ZL+PE/6OVlcPKvSyySYViRCaNaVQjhtphk27YavS70aF6POTGQiwacmNBFx5wE+EmJkpiIRb1uaAhzJa0Gm6bDOOmuqhZOw6ZxiFT3Kkfwqw9DPQejbaRmJskmyma6+lf580fZJiDtIsLnO1kXYdopp2i2gniCEWeoqlzLH2SIg+R+AGSPEBSB3H6IE62E2QTTr6OvGsmqCac5NR5LopuJMgOgnqHoM4TeDeFBRls+O3a8reVl0GDLnTIhQUYp4+y+ynupBO7RVn6aPyI2SwBAPCFInGJEPCttfrpT368ls5+s/xofTb91edfbGeyLxYK27nMRjq9k88/m55ey6RX06lfP3q4mkl/ef+ev6e3GAgEAPB4PKFYIBHz2xiqDUY6SPQESZzAsfdc7jYc11WpAQB8Pl8gEAkAMFfXfPaTnzyant5dXPj18uL67Mz67MxONrM+O7OdSW/Mza7PzqzNzazNzWxkpl9+ubwwPR3sGZCVlAu4jXYhUBaJDjutwdbGEIP4SfuQG/FTSIDEAqg9wCKeRszjgsMsFW9pPmzWa4t5APBL95cDHh/wgLmu7idTU18/e7q2uPAkk9lcWno0O7uSzz/NpR+nZ9cXCyuF7PqDB6up7PPlB189Wlx+UPgynfr7x08SfX0lYgkPAJFIIhJJAOALhGKxpFgkLhKKRdwthdPnuzH8B+Njz58+vXT+faFQyBdLABCWF+870lDfhtmPsHAngXcS+Ju2uIdp/DCNHmCwEzjWSaBHcfgIAV0zW28YDDf0dRG1ZkxbPWo0jNqMd8z6CX1NskZ1W6UYV2hGlZqEWhPVaIa1mqhGk9RWjVfVxGqqI1XqiFo5rJZFNPKoVhGtVkWrVUO1VUGLPkxDwYa9TPGQG/sDWXYhFvWycIhBel1INw6fYaAzNHaCwQ4RyF7zTWEdNHKYRl+T/vdh3/GGCP97dfhcc/+mZV4nhRzFoVMEeoEhrjLYTQrpJ5zBv7Su/r+EtX+lpMf9DMpRyUfCPajjMmS+gJjPIaYuzHqFsF/FbN2UgwunH6BhD40N0KjXtTec9tFIH2zuh83dhPMiYryAGq8xtn43zG3HxBqYsRbXRJtr6qA7yiLJBna8uX6smU7UYxMH66fa3RNNdKIeTzQQE63snTb3nSY25rCMGEwhi+UGZBiGLBGbadJg6bab30Z6giD+mCLPYjJYjXaLvlVfx5E+bDHETKYhs3HYbBq12+M2cwJ1jFBIksUmGqhkI8nF644106PN9Fi7a/SAa6SNibmJ8da9yNqRRnrYjfsZ2O9Gr9OO85D+Mqzvxa09Dl2PVdcLmboR002H8RZk7kNtg4TdQyNeF9bPYj0UzE3vL+DW87Cpy2G8Zjd0O009sKUXsw/s7dP/7pH89Tn9m29bkBvecqI8Fg3SMOeQFaaxIAF3Y2Yv5RxppMM0FmxkrjSSVk2ZRASAAAAh4ItFlfv2X3v39LP7sxtzsy8Xcru57FY69TyTW7s3/SKb383lN3LZ3aXF2emfHWtvqBQVF/GKBeJ9QMSTCIBVVRKWVn6oVMRk+8bKSqbksohUOrWv8o5MwW33jVWWjVaWJ6TlCbk0JpfHFYpgufiTcumHqppTWoVeVqKQCIUAgNJicTF/b935dQmAqEQIAFDs32fVyjurlWG5+ocVih+Ul35UKpraL5uskE4plXGFLFpXFUdsYW7RiMv1YvAQi4dYPEDjARIbYsgg5vBSzgHG6aOhCAMnaTRBIxEGDjnNUcIZxu1BGu5niHMkfpQgWnCcO2jnJu17vrYk004yBxnmEO3qYNwHaVcrxbSRRCdJvENT5xn6JEV2EPgBkuwg6cMEfRQjj2JkPU40klQTRTeSVCNJNRAk98smEm8nseMEfoEkbhKIn8ajLjz2p9/p/AwachMhFg1QDh9lDzJIsJ4caqQ9TSyplYm5C4EvAjzhmSMnvpl/8JvlBy9zhY3p2c2Zud1cfjuXW02nnqVn1jLp9WxmPZvZLRSe3r+/MZfaTKV3srndR48++9GPrDW1Yr4AACASCYoEANLpOgj8BEkddsJHKUanVgI+AHwejy+U8AQn2ju2lh9s5gq7ufzK3S+eZzO7mfTKzP3tXGZtbmYrm16Zub+VTW/nMtu5zGrm/kZubiOX/fXDLz/78GPEYBCKANgnAHxQJuQftBoH6+khBo/QaJBw+ikkgNrDDcSgG/G6sKFG90UIUgAAeIAvkACeSCwpRhz2zGefPcvlNxcWnmazqwvz60uLzwr5p/nc03xmfWl+Y3nhWSH7OFfYzC89KxQy2ZlHi9nddLbnQKdGJOQDnqxSeubMmWAoPDDoLd1fDgD/2vWbnkDQE/DrjQbAAzKZTMAHQgCK+HyhgAf4vKLS/QDw5WVlHOmPutFOAucWx3/HQhrpoJGDNHYMxzoJ+F0EegexXzeabul1/TU1YbliVKlJ1lYnDLXjNdq4VhnWyEdk0hH5nsFUTKuOalRRtTKhViW1moRaE1cp4yolZzuRUCviKmVUrRzQKII2fdyNRRspDvBcXP0f4JCXhcM00u9G+0j4AgtfYLBTDHqUQI7g8CECOUggnCUit17x2hHvTcx30jjX93dSyGEafbOOcDZ5NH6YITppnFvL7MCRYxRykkDOEkgXBV+jkVsUPEg73xxY/q9C7lUA7nfqe5fa/+zn6H8Ne//BP0j6EIv7aITDvJ+AexHrZaeJc729iFou47brmL2Xhvz1RKCB9LKwh8YGKXSQQrmB/wBq7bbp+h3GbsJ5CTaeQwxXaWufC/JSzhCDxBqY0WY22USNtlBDlDNeT4611I83u0abyEg9lmwkJ5porm3mMH/HTUXt5lG9KWa03LLURW2mqMM0YbLefAvpcZIgSfKPeOTZrGaD1eiwGtoMe6QfthrjRtOwXj+s149YrXGbOWisG3aYhyFLDLWP15Ove3pu5pBsomJuLMpgE03sZLNrvJEZbWQiLObB7R7ScZ20dMG6y05dD2zotdXdstT1QpY+3DHA5QPSSIBFAm4i0EB66sl+F34Vs13Gbecxy3nY1GXX3bDq++ymAed3Sc99aN4k/fe/o669We7rq8XfQoYaCQ/u9NPkLZpEKyuLABCLxeXCIgkALIzc/+nfvHz4aGdhfqOQ+Wru/lY6w93lt7LZrWz62fS93UJuM5N6NPPZN2tffXx7vE5fC8QCfpGYzwNFALSV7L+u0QYUFYmyfVOVstEK2Wh5xbisMiovT0jLk7LyMWn5mLRiRFYRk0uHlfIRlSIsV16UKusAqBBLSkpKgVACBBIeABKRWCmVqSplWrmyrHi/RFQEAL8EFBUDQRHgVwvEx0oqQsqqKa3mo4rS26XSybLKCbk8IpeF67RR3B5iIJ8L4cQK3FU9xOBBCg3g0BCBBGg8wBC+RtrfWu9tb+hvc/c0sb2NzEA9Ez7YGmpv9rU13mqsP0PRR0imCSHbcKoVp950u2vFqVZ8j/ftpKuVdjfTrmaKPEgTxxjyFE0cJrE2Am2nyE6KOU4y7xLUu9ir2z1JfKeOkei7JHqBxG6SqIdAhhh82I1zKWR/UvlpPMTiQywapJ0BxjlUjwcaSG8DdchikpWIAB8IRZLy4v0X3zm9ls+/yOafTd/bzKS20pnNVHornVlPpVbTqa1Cfm1ubjuXW5ubW0+ldguF3UKBo/Lz+ex6NrX74MGZo8dEAqGkuIgToGEGfSdJHaNZxmIR7T2i8WRl0hNtB7YfPdoszD+9e+9lrvB1fn51emY9leJmBlvZ7HYut5FOb6TTW9ns6uzsy8XFr6bvvlycX52d3s7ldh88OHviGACgSFIKACgv4h+w6T1uepjBg4Qz5IL9bnTIhQ0zaLieuYwj1vL9QgAEkiKJeB8A/LaW1uz9u+tLi5sLCxuLiyvzhfWFhcepFDfAX8nnXzx+vJLPP8vlHhfmVzO5rx8/fpyf+8flxR+f6TokV1cAwAMAdkIvXrz4t3/7t+XlZaPRyAPg2JHj//7v/76yslKrqwM8cP7ihcOHD+/pVwBfKBYBPo8HgLWm6rCbaSOch+vfeNNpvJPGD9LIQRo5QMGdBHoEhztI+JzDfs5uuak33KqrCWmqkgrllFw1qlRF1cqkXMGN68eUqrhKmVCrON9o7sWbrlNJtXJcoxrVqEZUqphSFZYrPFWqKGQZYdAogw1TSIRGQyTkwe1v+/xw5/RhGhl0Yx4CueJCLzPoaRo+RWEnX8Gey+LbG7+/dgF60x7nFelf0R17XdzE/tArv+TXzsEnKPg0hV6k0asUfJ2G+hjYz3DL9MifB/Z/IdK/aWjx5rLr/37Gf4sLv0f6IEP4SNhLQH7SGSKRXshyxW7sgkxnEOP7qPkybrtJ2vsY2F9PBBvwQD3G7Yd7SKgfsw9ijj7YfN1c02vT38IcXZDh/CvS+2hoiEVHGtmJtsZkE5VsJkOMM9HMjLc2TLS4J9vYRDM13sLcaXF92OK+3chMsPgo6kzYLWGLYUJvHjVYB/W1MaMuYjWMm63XnN8lPYHhHOkRBPlj2ntun95qaDXW3UCdkwZLxGpMmMxxoymi049YreOIc9hiSCKOuNMasZkC+pq4zTyJwVMkeofGP3RRkww+QkB+yBIl4DiFxkgkzmBDBDSIWj24/TpuvgzXdTmqr9tqus3VPea6QcQ+5Kb9LjzgJkJuwu9G/S58r6enkauYbU97D5su23Q3zLoBi9Fns7ye3nMnbXsfIxYJulAO59+pIQoO0LCXhbn4zgCLBFgoUI+ESThAw9208wKLOJTlEgDE4iIAJEWA77vZW5i+v/XwwWo6tTE9u5vO7qbzm6nsRiq7lZ9/NpvayOc287ntXG63UHg5M786PbezPL9w/+8unThcDAAAQlC0fz8QQPv33aisGFHIxvaX3y6VJtSKWGVpWFEZl5WPV1bcqaj4sKLidmXlmFSakMq6pFW15UWgGBQJJOWgGAA+4IMGp/Psu0eH+nv/9uOPfj419Yvbt+ODA12n3qFQCPAAEAGxSMDj8YAI6CuKL6g0Q9rayVLpVLl8QqYclklDNeoYag/S8CDt5OKuvZTd54JCjdhQPc7JFZOH2r00ddFuPmaqa7fq6i11Ln2Vu0bL1GpbbaZGc12jsa7ZZGx2ONvZhtaGFm5Nru2Nnp6zw2smqBaMbsZdzaS7gWabKPoATR1l6OMUdpBAmgikmSI6GOYk7XqPos6SxDkSf13vU8T7FHGOxM8S2Hka76LQGzQ2QKMBEhlm0CE3Msg6/vQ7C0d6eG//2AX3U9BVxKot3VfEzZr54Mb7Xf/08Mn2XPrLzL2n6ZmNQmY9m1pPpbZzue1sYSOV3crkd7KFlfuz25nsdi73ZGZ6PZd9/mDhq9l7u+n7Xxcym5nUs0Lh9DsnAQ8IREIAQLlE1ISi7QRZLhICHpCUFgkAuHLq/NfPnm0uLW/mCl8vLG7NprbSmbV0dr1Q2MnnOd5vZjI7+fza3NxOPr+RTq/PZLby80/nZldSMzsL+fVsZmNxqeud02IgKi4pBXygKhVfJJGImwpTzpAL6mlwBgnnBE0M0+QBQ02JCAiLioGgiAf4Trtj5u4Xqw+WNpbmV7LpZ4X8k4XCaqGwks+vFgo7y8vbS0vrhcL20tLG/PyjQu754vLG3OzXhez9QW+f2nhJZ1CLuRMq8MMf/uB//s//d2ZmpkqjFQKeAIDVJ09/8NHH3AnFiXdOJpNjQqGYB/gabbVAKAac/L5Gc4jBO1ishXBw/jCHGeowQ3SwxEEaaafhNgo6gsOdBNxBQhdt9gsWY7eurqeuZlipHZNKb5dLxyrlCZl8QqoYkyvjKuWoQpmo2pPgJZTKPfdorTqmUcWrNDGNKqqWR1SyqFoZ06qj1VWR6uq4zTRJIQnc6bUY/DZTBHVGSHj47TsdXK7MMIUMujEviV5l0Ss0epaCz1LoeyR2nDO6p8kOijhEogdw+G2kP0RAnHCvg4Rf9/ecaP8ggRzAYW420EGiXNLPKQY958IuM+hVCr5JOQZccNAFh+k/G+lDb6n/atJzgOeycLg4nL+s1c9bSU/hHOkDFBQioT6n5YrV0OUwnkVN5zHLFcJ+k7T3kc5B2ulhIC8L+2ncR2FeCh4knH4K8WC2W5a6PruhB3VcggwXYMN12tbPQj4aCruw0Wb31IHmsRYm2UoPu5Fkq2u8tWGsiR1voccPuCea6CSNxjFHxMmFzhjiRkPIpJsyWG4brT5dbbyuNmLWj5mtV6C3kt5ms3Gbun9Ie2+wGp0WY5tBdxNxTBpNUZspYTLGDPqIQRe1mUYJeKqBvtPETjUxU03MBIHE7OawWT9sMQyZ9cOQJUo4g7jNh5gjDDziwmI0GsadQcTmc5r9kCVkM/cZa3tNtb0W3U1Dda9F58HtXhb2sCgnWfTQiIdGPCzOkb6bcF5BrecIy2ncfMVq8Ol0QaNxwG7uRq19uMNLvVLXv1qoC7mR4Cs/cO6zG6aRYQYdYuEg7dzL+dh7gHUGCbuHcYQaKF+Tm9WoJHwAxALAF9Soq6N9g9vPnmzPptbvfv4sP7uann0+l9mey25nshvp9Ho2s1XI7+bym6n0ejazuVDYKKQ20nPPpqfXC4XthaVw1/XqCingA5FELAUCZ6X8prrudolsVCG9rVAnS+STUvUdpSop29+/H3wiKf1QUXWyTsMIJTU8IAZCoaAYCAEQgkN0688jU7P3fvFPq2s7i0vbhYXd/MJ2tvAPDx//44PHK19MfzIycfxABwAAiHglxaISAGoBQCVFN3XaUHXVsFQRqdIGrLqICw67kABuG6l3BRrIa5Q10IjGaHgYhYONrtO4jdXoLeWKClExb8/bXMADfAlPJOQLRAIhDwA+EIgE4v1FpVq52lJjaMawZoJoJLBmhmyvZ9042kq7WylXG8a0IUQLSnC8b8fZIyR9iiZOEdgxEm8niBaM7CCo9yjmIkVeItFuGn6zblF7NchCgyz0rcwuFnpt8/4frziD9bvRoAuPU/AQbYs10f72ljq5VAKEguJiPh+cO3bkq4XsVjb7cjq7u7C0mkk/Ts/+Oj+/lkmvZdIvMrmt/Pz2dHozk3ndam/ncpvp3EYqu5HKfnXvb78JTz6488FXqbsbj5bOHD4M+EDE4/MEoLpKo5bKBTw+4AMAwKnOjmfp7Eo+vz2X3ZpNreWza/n0ztzcy3RuLZvZzHx/PUvNreTzu/mFF1/cnf9w4sH4yMPpT18+/PLiqff2TgsAqDXIb7mIMTflZ5whF+PF7QEajjbUKxT7AAB8sQTwgFGluvfzn68/ePBVNrM2P7+Sz6/mchvz82sL+bX5+dVCYbUwv1rgXhRWC4WnufmNLx//w9z8i88/9el0gbrqsMNprygGAAgEAoZhvvnmm3w+X11dDQAQiSRjY5Gff/pzwANCIOjq6lp89ggIgBjwj7/3Xur+HIqQQMDfV1J0vrHhlMP8HmE977RdwBynINNpxHbaCb1ng87B+DtO5/t2+/t2+wW7+bLN1GOoC1RrE0r1hFQRU8oSculIZWWiQjpSKUtK5eOV8qlyeVKqTCrUcY02ptXG1JqoSh1Ta2Ja7YhGO6JRx1VKTvQa1Whi1TUjdboYDUcxx7BFH1ArA0pF1GKI0bCfeWvmG+dRM8SiIRb3Mngvg1+j0S4KvkRjF2n0HIm+R2LvUvhxCusg4YO4o5OAj+DwMQI5TqLvkNg7JHaCwk5Q2CkKO0Vh79H4ezR+mtqrsyR+lsRPU/i7FHaCQk9Q6EkaO0Xj79F4F4VepZBuGu6nIC/l9DNwgMW4vf8ADXOMfP1N/idg+TbSvy094c9F1sCr1Dsv4fASDh/p/Mv6+r0m/ZuPNX4GDrngXhb24LCXRP2Iw282XLcab9qt57lwetx2g3T2U4ifxv007qGxQQYZcKH9LNJLQ14XNog5bhpqByzG67DuurPupqNuADGFcGcYdQxBthjiTGDwKAHHEXvEaUmgjjESGafQSQr5iMTHEWfMbg5ZDUMOUxSxjRDQKIXErMZRsyluNid0upjdMGzRj5nt1+wWp1HvsBjNnO89ihEYjuM4xdBqtfqPTe8te6m1bQZdN+rkSD9iNsUM+qhRH7eZx3F4ksGnWGKKJe64qTESiULWqN0cd1rjiD1JoxNNdLKRjLmxiTbXhwca7jS5J1kqiSMxhy1iswzqa2/pqnrMdX1WfY+5rt9h5MTwPjfOSRa9DOphUa+L4Eh/HbNfwqznCev7uOWaxeCtqwsYDP02Uzdq7cXsHhL6ziDIzzg5yzyucfeyv+vj/QzsZWEfi/ldeMiN7U3yCWf8YHNzlaoMAL6QxxMJBQDE+j3/sraxPH3361xue+b+09zM9mJ+Y3p2Jze/lc5spNNrmfRWNstN8lfTqdVc5st7n3+ztLyTz28uLKzMZf7lydq1E6d4APBEwn1AWAJAa3FZXFMzUa29o1SNSJW3K1QJqWxIUxlXSz8olg2WyIylYg0AZQDweAIRENtqqyejw+uzi9/kvlxZym3kC+uZ3M784k5u/tn92Y25zG5ufv3+3P/51dOnM3NjoZDdbAIAFIuEEgAqRSKHCNzUGyJ6Uxyxx5qJAAtFG/BhN+4nYD8Bj7a5fYRjkIKDB5tPog5jqXgfACWAJwRALBJw8+diwC8CQAJAMeC9KbfmNNdqqbyRII+1tLSgaIPd2smyh1imhSJaSLKNJNpIgguqP0RQJ0jifQa/xuLnafwEjnTC0HEEOU+g1yn0FoP0MTBXA/S3yuOCvezvpXO+JeHjD13JJORjsSCDRUh4mIa8DNpWV1MCQCm/BAj5el3t8sz02mJhdXb2N5mFncWlF8tLzzKpnbn0Zj63kc9tzaZWsmmulX9N3410eiOV3c4WnhcWF372yXAdNHrs5KNf/nxzPvs0ndZqVFz0S1npfjH3nMQDFkNd9vPPd5eWv7w//SJd2JrNPJ1LraRTO3PpF5ncRi79NtJv5NLPUumv84u7v/rsAmT98GDH0s9+vJEvfDk3Z9JWCcWisqIiwAdXCDThpn2U3U9hURfpdWFnzcbiIoG4SAJ4fK1S8YPR0fWlpbXFxWeF/PrCwvrCwl43P5/jXqzkCyv5wmqhsMbh/+GDJ5nMPy4teE4eHNbrQ3rdhbpaXCAWCPb29L744osnT57U1tZyn4ePx0Z/+fNfAL6IL5AgGDr5wR27A+ID0f7y0qVcbmEuUwT4UgAa5Ypum23AYh6o0nsMxlt6XbfJdNNgu6qzXbdAXSbrRbv5stXcbTIN6OoC1dURtTquUCTlilEudbpSOla5l0mflMrHKuWTFfIxuZKb1Y+ouIwozYhKM6LSJNXqpFqdVO/1+kltVUJb3W/XBZ3GmFkf1WiGVaqY1TTEwr3ut58KsVCQ5cyGcR9L9DPELQa7QWNXWKKLJt6niDM0eZom32XJEzR+hEKP0+hJGnuXwt6j8dMM8brO0/gFhrjAEBdZkqsumuiiicsUcYkiLlL4+xT2PoWdp/FLFHGJIq7R6A0a7aWRQdrpox2cGnxPcfJGasObXs7/LUj/nZTbv6qe/nX5GXiYQQdoOIAhfgINQY6QyXDTYuyxWC7Apouo5TJhv0E6+xjUxxJ+F+l1ER4WHXChAy60j4F9btyDO7uNdf1mQ5+trsdS02OsGrToA05LyGkdgmwJDJ4k8SkKG0OdcYcl4bQmnbaE3RK3mUb0+qTJOG63fYCjn7iZnzTV/7S54afNDQm7edxqiZvN8bq6qE0fNuvGzPbrDut3SE/iBEf6ysrK/8A+vc3k5HzvX5E+YTIO19UO6+tiJkPcZo7bzFGLMWoxJuyWUcges5qiFmPMaorZzUnEMUohCRKOY44JFr9dT427qCRLRCnEj9kHEIvPauy36DjM3zRU9zuMfgYedCOeepyDPdfcD7jwfhbrpZGrpOMKau3CrF2o5YbZ4KutCxgMfVYjR3rOQ9dLQNzjoZ+CgrhtiHSEaWiYQUNvSD9CNLZ3LE0iQwweojE/hQRoNEoS3SxVXSIGAgCKi3gABK/f2M3Nb9+7uzM38zKT2p2b3lrKPk5PP88XnqXS25nsZiazns1sZjLcae5qOvU0Pbc9X1i9e39tJrWay+0uPVi/n/r10qOrp09z28RFJcVVALwnV4Tk8oSkJKaq/KBSHiktHZUpbhfLuzU1EF8ISvgSnohzRnu38/DazPTXhfzz2fzOdHZnYX5lLr02m95M5zbTubXZ9Npsen0uszo9tzVz/8V89vny0lfZzIXTp8ViMffu7gfAJis7D9mDOBptpHqbYG8THkGdvYg5RiIjKBqkyJut9VCtQgxACX8P8EUSkXR/SdepdwcuXVr+4t7Du/cXP/0s88tf+q5d62huFAJQVCTmCfh8sQgAfmlRMVSjO0az5xobOhHHu27yhJs4SeAnCfQdEj1BYScJ/DSKXsfxQZLwM3AvC1+jkYskdJVCemhkkIU8rD3AYlwFmW8V97j2rRiPvT/2p13JPhoKs0SQQgMUFGPJ6zisFvMFAIiAsKR0XzIa3lpefnj/7tcLRda7YQAAIABJREFUiy8yuWep9LP7s0/T6e2ZzGausJHLbqbSz/KZ9WxqO5fbyma3stnNTGY9lVpPpbazhRfzS49+9km/UhdtbH35d5/uZuZ28vmffnBHCICkuIgbjggAqNxfOhIM7Cwvb6bSm5nMPywuc6TfLMzvpDI7qcx6NvU20m9mUqvTMy/ThbWf/eJdrfrHTPOjDz/4zdOvfr248JNkUgiAhCcAAgCXFA0y2EgLPVxPBFDnYGu9pUQCABCJiwAfHG1s3Fp+sL6w+DiVXpuff5LJPMvluFZ+Yz6//m3Sry7Mry0Wdhbyz+bnHkXjA0Z9rLbWZzW36mv38QCfD8RisVAo7OjoWF1dVSgUAACJpPjj8Tu7a7s2KwR4/JJiiQQACU8gEpcAHrh4/eJv//WfEQoDIlAhAMer1YFaQ79K019b1a3X3DTVXDMZL5mMF+3ms3bddYuu16jz19bEtFWjSk2S26BTybiQ6Kly6XilfEQmT8jkCZmcC45KKOUxjSKmVcc0qoRalVBrYmpNRK2MqJVRrSKuVcY0iqhGFdOqI1XagFoZNenikCVkN/hsujBqi7CYj37r54frGTjSc7D3sGQ/Q1xjySsM1UUTFxjqPEO976LPuqgzLHmGQc4wyPsMeoHBuhisi8EusfglFr9OoTdo7CaD32TwGyx+g8WvM9h1BrvsIi6y+AUGO89i51nsAoNdYvErLNFDY30MOsggfgYOMM4gC3Hnkt9xgvpPM3iIRb+33haK+Ocia9iNv46i/8sa3/5h0kcpZJCCgxgSxNEhyDZk0PeY9f3mPdJfwm1XSUcvjXhY3OcmB92Eh0UH3digG+tnEZ8b95HwLYu+32zosdZ2m2tvmmr67AYPZvMRjiANxxqpjw42f3yo6U6La8xNjLuIcReRpNFRCo7bzFxc3DiFTjL4pIuYYPFxBhtxWDjSx3R1EasubNaNWxw37VbIZPhe0hcXF3Pmnn8C6SNWY8JkjBr1MYM+YTKOmE1xoyGmq4vp6hIG/ajekNTpEzpdQqeL63VxoyFmMoSNuqG6mrjZmLCYImbTsNUcdFi8DtOgw+R3mPtthl6bvttce91Q1es0elm43w0PuH73k+pnkX4W62PQXhq5RkNXUOtlyHwZMt8yGwM6fdBo7LMau1F7D27nhI4e3DmIOQYxhwd3+ii7n3a8oerEX8EDCbvxIIP4aUeAcQZo2EdDARZJtLYwcqmYD4BEzOOLj7ce/Netnd18esYfuGiz/zLo/ZflxbW5+19lZrYz2c3C/HYmu5HLrmczG+n0VjrDDfOfpea25hdeFBZ3cvOPZmc35udf5hZWvpj++tGXFIIAHgACvkJcDO3fF1DVTJVLY6qy6L6iUYV0Sl39A7mpdp+whA+ASCjiFxcXS8JDwa3l5a9zmc37d3fm5p5nCs8zha1sdiOdXp2d3UindwsF7hB3dXZ2NT+7kpldSc2tpbPbi8sJX0BeVlFUVCThFwEeUJWKz9ot0SZ3vxseZKEERUQbyARD3jAYOrQapYQP+KBofzG3u4U4rFfOnVmemd5eWlrP5HYLhRcLC79ZfrAyM7OSTr386qtPf/zj08eOqOUyHgBAKCkpKRUDYJBKWy3msxR6DrdfJBznaOR9Bj7nQs644DMseoHBbjGYj8UipCNIOz0ueMCFel1Y0IWGXFDQ7Xh9Z3ndVXB3HC46NvgK9m88EPxpV7LXjcQZLEBBPhoZYpkjFpOIB0TiIgCAzWr+ar6wWcjvLMyvz85tpTNrmfTzfGF7aWkzlV3NZNcy6d1UZr2Q2cykOMxztZFOc7DfSKfXPvvFGN3oI+lf/+hvfpNNvyjMz3/+RbVSCQBfKBQLeEIh4Flqahfv3lufy+ymMlvZ9HYmu3J/diOV3cjmV2ZmNtLprYUc9wzx+7Wemt6aTf2msLzz2edBt+tHNurlz37xOD39dS7z4PPPYKNJzBMBiVgNeDebGQ9hHXJhYZbqtJlL+EAoFAMev6S8+OPw0PMHj55ksquF+d1Hjx6nUk/zudWF+ZX5wubCwsb8/HqhwJF+JZ9fXcivL83n/sdP5r745E5Tw7i29rbZ0iVXa/lACHgoCre3twMA1Gr1sWPHiouLuZ6+ezT+9//0LzSEFwlAeRGo5ANlkYQHQAUQuCj65faLR9nF0iKJSAQa1EpfjWm4UjasUgSrFf5arbemeqC2tt9Q22OsGtRp/bXaYa1mVKkZk3PiO1lEJRutrHyVQCEbkclH5IoRuWJUoZxUyMaUiqRamVQrx1TqMaVqVKlKKNUJtWpEpRpVqpIKZVKhHFWqxtWaMa02IZXFddVR3B5knR7GEaDhMI0NEW9/UnRBexre391MiABD9LD4TQa7TqHXKPwahV9liKsMdpXBrjDQdQa+wcC3GKSH/l0NkMgAjQ4ymIfFuTaGu8Vdc2FX3dgVF8rVVRa9wWI3GcxDY17OCoKFAowzwDg5EdJrR+f/RQa/jfR7vP8vI+tr0gf/SvJ4vu+LARbhSB/AEB+OBCFr2Gi4ZdL1mYxdkKkLtVzCbdcoJ0f6QTfBebwOujFPPT7gQv31hJ9Be23GHrO+21zbba69ZakbhMxBwhkknCESirmJOIMlWDRCOocQaxi1RVD7EGQJQaYhs37YagzbTSGrIWjRh6yGkN045DCN2Ewc6aN1tcM23bBF//ukJzCcIkiO9CKR6I+c01vNljfP6ScMxojVGDcaONLHjYakyZg0GUeNxlGjccxkGjEaxq2Wcbtt3Gkfgx3jiDMJ2xNOa8hqiDksI1ZzQm8c0RuTOmNCZ4jX6buNdTeMtd1WQ6/N2GM1DCJ2H4v1uZDXpOdmIAMu3MPigwx2nYauQObLNsNlm+GWyRDUG4aMpn6z4SZiu4U5+gnYQyAe3MmVl4B63Y4el72HcfSzkK8eDbgJvwsPsJjH5fTVw/56yOtyeF0OXz3ka0L9zdgxq1Uh4AlEQsATqvcrVmZzG+m5J+m7Sz5/CMZ+2t/zD7nM3y8srGTTL7P5Z/dnuYZ+LZPeSKd3UpnddHYzk1lJp7YWF9dmUjvZwko+/yST2crkv1l6uJLOFD67WyouAjy+BPD3AXBGuD8uVSQU+yPy4kRZadBheVeuFErAPgCKgFC9T/phIrmRz63PzmykZ55Nf/H8QeHp7P3nqfxWOsMxZjOT4SbJ66nURi77VTr9fPnBdia/k8q9zC2sZ3IfRaNVleUAiEpExQIAauT7uih0kmbjKNLLwn4CvYlBZEWplLNa5fN4AFRVKM8ePfxgdua3q6urs7PP84WdbG7l/vRGem51+v43S4vrqdnNfG41k/7ts5X/cft2J+sSCEQA8AUCgQAAuQgcddqCbU3DDayfwAMk5qeQQQoeoHEPTYRpLE7BMRIK0xCXR8CN7EIueKjhjavr25f9EAsNsXDIBQf3DmL+k6QfdCNRCgmRDq8L6yEJe2Ul4POAQAx44MqZ07uPHn01M/307r3N1NxmJrWdSf9fDx9sFbJrM7Nr+ex2Lvd8OrWVTb/M596k7+vOfnV29rfL+Zl+T3tp6bPo6G8K2ZWZ+xvZ/I3LF3mAX1RUIhJJBACcO3r8+fLDzVR2N5XZns+tZ1PbmfTLbP7X+fkXCwvrueyj6XtvPkl8C/b51GYm8+SL+//8cDkfC18FJfnI8M7y/Ob0vZ2F/HBvDw/wQWmpXCgh9Cov5fSysK/BZSzbD/hALC4SikUY6txdXNheXF7J5Nbz85tLS0+z2c0Hy2uLCxzp1wuF9Tx3SD+/ks+vLxa2Hiz+Xdflyxp1uLYmrNWGjBZXWTkQAUlRySeffPzkyROJRCIQCAAARUVFPB6Pzxc22vAPRydM+mqoWNJXJJssqrq4X6EoAiWlxUDID0XiX/zob3XaWiAElULwrqpmolw2LqscV8mTSnlSoR5VakdUmrhWPaxVRTWqmEYVVynjKnlcIeMqoZQn5VxYrXxErkgolWNK1YRSnVArolrFcLUyUqXktuwiamVYo4xp1XGtOq7dE+Qn1Kq4Vj1SrR1SyILVqrDTFGWRIRb1U5CPRjx/gJcu9PWZUYhBOFu9EI15WdjDQAM03E9B/RQyQO8dQvWzCKc3enNMFaDRAI1yr0MsHnThQRf+epTF/a6fQvwUwgXphmnsTXkKR3ouv+PPNUv/o6T/L4L9d5af/7cR/a3fz/d9McAiYRrpZxE/gXoIJABbQyZdt7n2lslwyWm6glqvko5uGu5nMa+L8LqIPhbzurBBN+ZtIAbqMZ8bD7BYn9PSY9YP6msH9bUefe2Q0RC1mCMGQ0SnHzVZ4mbziNUcMxmG9XVxo4FTwkUNdcEq7XBdbcKgj+t1MV1dQqdLGgxJgyFm1o+aTTGTiSN92Koftzhu2Cwc6U0mw2vSEwRBMbRYLP4jPf3vk37YYuAO6SMGXcygH3kF+xGjYcRoiCP2cQabrKcmmujbra6pFnasgRytJyIsMtZAjrmJURIbwZEI6gxCVp/TfMthum7R3bDqb9mMvTajF3MG3MRAPeZ1YVwi+KAb87Coh8W9DO6hsZu445rFcNlYd8msu2nUBwyGkME4YNRfhS3dqL0Ph7wk6tsr2EfCPsruJW1e3O4nnWEai9B4jCIjBM5tl0UYOMJAQ6Q9TENhF+anIGdNtQAAvlAgAPxDhOvlwoNn6Zmdx/Nzl6/GIeLBTz/ZnZt5PjP71dzMi1R2J5vjSL+ezWxls7vp7G46u5XOrGczm8uF1Xt3n6fTW4X8ai6zmclsptKrmfRmbh6u1YtEon1ALJFIWnilYZttVCWLaMv/pkRxUlpZVSYGQiAWCfj7xNHevtVc7l/nF//vhYX1XHZtIf80c393Ob+VynNasNe6MK6n3Mpmd+bmd2Zzu7PZF6ns+v2ZzXxmbSEb9fSUF5ULgUC0T8ITAqR8/2Rj2zCOXaPsodaWg2aDBAC+RAB4QCIQtpPMrz74wf+zs/1sevrZvfu76ezLXGFjbu/f385lVmbub6VT67Nzu7n86vTMb5YfvFxc9N/qcVotgAdEJWKxAKj44KTF1EdTfhcZchPcupenHvfU4756NOByDlNIaO++iQe5Jpt0etm9XG0/860KsMibaV2vdiX2ZjN/Ug0yyBDpGKahoWbmLIpIhUK+QAR4QlnFvrs//OHz5aW1bOZ5NvM8n3t6/+72vft3e3s/Twyv3/18cyG3Vcg/n05tpf8/5t47uq37yvf9obNIJAGiswA4B733QkpUcYu748SOFckSe0chWECAnaq25MhFstVYAJxzcA7AJkqkSJAAqyTLduxJMpPczJ25a1bevH/e/eOtt969/+TeN/f9cWiaVmyPk5tkorWXFkgCBBbAcz5n7/3d341tItgaRmRRnHznyYuttURiFUHuT+GrV67U2u1EXdvH09gKFv353Py7584IuTzSGz+Hzohf+ejh7burE/FsNJ5GkfUUvhYbR3pDE51d965/lE0SKwn820i/mkCWEDSTSH6cTKbfeyek1F9pbtieTS6P3Xp4d2787bd4hWxAZ+QAWsE+EHTbvVX2lwxqDpUGaFQahZ6XlzMS6nm4sLCCJ5fQxEIMWcLxZYLITE8v4onlVDKdTC7hxAqeXCVSq8nkajKZnUpuzk3d/9nFsx5PQFbWBymPS6FSQMnJydm/v3B2dvo3v/nNyy+/TGKeFOjRaAxSQMqlgZd57BFh6dkCbhhWPsktKgKgiL0PUAEDUOgA5DOpMAD1RWXhYnaIX9RbUhwSckI8boQvDPMEESFvkM/rE/BIYPcI+SEhPyzg9/P4vSX8sIDby+X0crkhIZ8s1Pfz+CEhPyQS9JQIe0qEvSJBL3/nsWEBPyIU9YnE/UJxn0AUFghJaV4Xn+srEfg0UNBlClSYyQ1Y38XOPdKQvbabQbd+h8FkCXoHxrrde5InnN3YOwrfuefp9pKVvGe300R2Hvfq4XdXePy5Cunfxvhu5182rf8bKdrv/Uy/+UN3GJpcBq/N1GrTe42qgELaoJQ0yKUnVdKTerjarKy3alptelJV1uw0kH369gPWFo+pzWPucFtaDepGhaxBLm2Cpc2Q1CeXdSrgTkgWkkEDKnVIqYholGTju0+rGjLqBozaAaOmz6wbshiGzPp+tTIMQxESuBDUA0sGYLhXLu8mc3o1NKTU1qkeJ73DZidJ/+9X73dJT1bvvyK9Eo4o5RGlvF+p6FPII0p5WAGHlHCfVT960Hn6sHvHuu+Iu/+AbbDS1uc2k4P/g4fcoSqH96CltlJ/skLrdZrq9IpTalmtStaglLUZNR1uS3uFxecyBzxWn8fS5jS22PUtVkOrWd9i0tVrlXWwrBqWnlRBNUrIC0NBCPbC0JtaZZ1RS5LeazN5rcZ2q7HdaiSLId1WfY/N0G03dznMXXZr0GHtcjl9FmOXw9zjMndYdUGH2Wc3n1IraBRqXl4eAGA/nTEzPkHapGzMpy48+dSozbOVjK8isexkLD1FbGP4Sjy+lkisJrAMnljH8S0M30CwNRTLEvgKHvsYQz9D0LXJ8fvTqXUMvXvjeiaJbc3e/vD0WQoA7Jz9gE5VUHOqPda+ktI2IWcoX+jJ3w8oANDpIJ/14o9ffLhwZ/POzM1TNeeef3k9kcqmZjdwJIvFMonkLuZJ0uymlZtxfCOWuI8n1zE0iyGL0ckMgW/NztX/8EeAAgCLxqQzuIDyisVYW2H1V5oPwlAeABQKoOflAUB96YlnljBsa3bm3titpfGJR7dvr+P4cjS6juPbU1PL0WgaRTYIYh1LbOLEGoqsIrEshiwj0Z8vL0289x5cVkYnrX3o1GIKOKKWt9iNAYehx2noJeuiTkuny7QzB+wydVZYuiusnS5Th1XXZla3WXWPHf8k5gOur+aI9rp8/wlnH7/TFHDquuzazirnITXEolBIA2MtXPbpnTsrGLoYiz7A8fTkxAaBftDS1sQTRJ46sv7RB9kUmiHwzVgiiydXY+gaRqxhRAZJkEX7XSRn4sivl5YunDx14cizd25d2ZhKPJyMT4+NOQ1GJp0BAOCxOTMTsXtRZA0htpPTW8nppfGx91ob3igt6XK7Vq+8v51MZePJb+vTr2PoMopliNTyzbEvpvB4XX3rM09sxqPraDKDJxauXzvicAAqg8PYB6igWatrOOgwSUU5ANByc1kUmljE+/Te8gyCruDJ7MzsMpFcnZramZhHkGWCWCaIJZxYJpIrqanVZHKFILJJYnM2lR0ZDkvlvVptUAiJAKBRqHRAAzmgvr72d7/73ebmJpfLpdFoDAaDSqXS6UxAoeXk0g3c/W1Q6Rlu8duc4p5Cjr9M8mTBPkUOkHByoeJ9kny6oSjnxwJuF1fYX8iJcNgDYl6Ez+0vFgxxxX0cfj+fO8AjNzXzSd+b3XH53hJ+SMgN8Tg9Qn6oXBySlITKxd1iwUCxYFAgHhSXDotKh/nCEa5gmC8cEQmHeKJhvvg0v/Q0v3SYVzLIEw3yBYMCYaS0tBOS+M2q9gpTa4XR6zJ0ukyhP8pl2aUPOHWdLkOny7Drwx10mYJuQ4f7qy0bew06H1vA0bHnDnsngX3ur2LvKB2Z9H9ZGPgmXP3x+P8O0pOw/wul9X87jP+uU4rbFLTpm50Gn83UatP7DKqgXNqglDTB0pNw2Sml5JQWqtXJm01qr1XvcxhbHYZ2l6nFZWyrtLR4TK1uU8BjbTdpG5Sy4xrpSY2sWgM16ZXtZrXfqO626gc99n6XddBjHXBb+tzm4YOO0aOe0ScqRp/0DDzhHjrs6vdYuo3qoArqVsG9GkVYreiFpYNyea9c3lVeFlRLulSyEaVuL+lVKpXNYv3jSP9Yn54kfSckCcEysvUeVsC9KnlILe9RywdNunNu+9kDzpEK++hB50iFfchpHnaYB6yG8x7HW5WuMx7nkNsecpp9Dn2rU9fmNFbr4DeVklqVrFEFtelVXruhyaH3Ok0+l7ndZWq26RrM6nqDul6rrNco6pSkQBc6pZXXqOA2OdQJy/0w/CXpdwDfatY3G7XNRm2LWdHm0LRXmNoOmpsOWmoOWqqrrNWHbbWHKo85zdWV1sbDjpqDlrojrhNVzme0cjqDBSggh8VQysqXZ6YWsPgKjjxanBs4ePCj515JE9HsbPIBkZrHsU00QQrx0iiygqHrOL6JJtai8dVYPIMnVhKTyx+8j4ciy+9/sBGPPsDxDRRZjE+kp6bSOK7VKOgAgHxWIaCqythhKdQKS54X8pgMABgsOmC4DbbtaGJ+7NrqQqrPU1knhrdiqZVo8kEMWZm4tUqkSI+2XcBnMWwjgWcRNIOjy1hslUAX4hMrOJJF8e3E1HqUWJhCD3jsgAIAncFg0NRlgpon3Ce0kn0sWg6LwWLlUgC9qbopO393icCW0PG1ZGItmcgS2EJ0MpsklpF4Oops4KkMkiCT13QstpZMrODIagpZTEwujY9tTKVWpmYNKh2DwaLSaYACWDnU163KGoe63antcOgCNqPfaepwmzrcBnJ7esClDzh1frPKZ1C1m9Veu67baSHLoWTdcrfCuXsE7pJ+J8v/Y49kl8XvMXRYVO0uk7aESwGACahUKnWoK/CASC1NTm7Pz2wiSHpy4rM7s/Hu3l42L2K3brx7KUPEMikiG0VXUlPZ5BQ5Vb+GEbtlFfKqaxNPrSLI9LnzV57/8d2xq+tE/PMo9snC3WBzC43cJUOjd9Q2PJhdWIlhmUQyG8UeEgTe23VKyI/YLJvvXl6fjG/Fpnd/Jxm7pN+IowvR+Fpy9n4M+yyFzUV6u157ZeHSu1vo9GYy+cX01FBbO4PGzAdUCgscE5Sc8NiK9tP3URgUBpMOwBuvvfJg+vad2bm7CEqSfpkg7iUSmVRqbXp6fWYmPTW1lEymkymS9GkssZLA1qbw86++FMzhNpq0lbl5BUw6oFGfPnj0ycOH9u3LIzdhkx16Go1GpVIBoOYARh4VuITFjQLO4P7ct4rZwxzeYHFZL5ffxuG2cAWd/PK2vGIfhzdQXjrI4wzuZ/cXFY2KBYNC/gBXOMwribB5ET6/nyfs5wkHuMJBrnCAx+8TCCJCQa9YGCkRRIS8iJDXWyaOKMhBI0kQKmkqF7ZApW1KSbuy3AuLfTKRTy4KqEt9ColPIfHKy72wtE1e3qaUeLUyv0HWrYK7jeqw0xxymjusuoBdH3Dpv8On4WvA2xWOuEjF+Fel+KDHGqgwByrMX/25frlziyR3h9tAKkxJeV3QqSevFR5L/fek8vovn9e8B/PfUNP60+r530b6Hpd5b1HhL4jY/zi3nMc+353zzB4jgQ63qdOqb3UYfBZju00fMCi6FLJmRVkzJD0FlZ2Sl1erpLUaqNmg8ln0/i/JRZK+2W1scRkDHmu7Rdeogk6qpLUaqF4nbzNrO+ymDoehx2UePOQ+U+Eid9YNeqzDBx0j5DLYI87Bo+6RI+5BjzVs1ITU8ohS3qeQ98vhiAIaUih65fLOstIOVTlJ+nq16ttIT9bbdkhPoVAUCgW5u95mszgcNpPJoFWqdn3v95I+BMvIZw3DUBiGBhTyQaViQCHvNWn6bYZei65TrwwalJ16ZYdWHtDAXqW0TV7uVUqDKnmHSh4wqLx2XZNL1+gyHDPBx3WyeoW0SQk1m9SNJnWbUbNjSGQ3tll1NWrZKbm0VgFVw9JqpaLWoKk2qd/UQbUqWZsC9sOwXyarNumqlfKA2dxmNPjdtha7vtmgirgsPove53FU2y0vKJQHRWUyKquMlcvPYZQw80v3FYr37RPn5ZWwcoR0ZlleAYeWwwR0wGICOvjhD57dIqYy8dg6jmRj4y0u56NLH2RmiE2U2E7NbGP4EhZbScbXMWINxbeIZBpF1lLJZRRbiWHb2MzHs6l3fvTDhnJx749/8HcT8c2p2bvjk5tJbC2ZyKYSb58eyAEgd38RHQAxh3HRavcZVGI6i8mgAAYjh0rvPFW9Ond3KfbR9u3UqKuqXab4bDaRJbDsGLJNzKSxxG5OTyb0u7qwNIJtxtDlZOJeIrGAEQ/HiI8TM+txdGthIdDcSKdRAAD7cxhcJvMZm13H4QEKYOTuo1FZLxw4eD+R+GQqeW/s1gMsQc4RZOI7CWuWwHcCSWwQRAZHl5HoBpFIx2IZInkXQdIYei82sTmdJD76CBaJmXQWoAAKDShYuccPuCJOW8CgCrpsLRXWbpOhw6HttBvIrcFBpzFg13ut2laTqtmkbLFpmq1qr10X9OzY+JCDwjv1wy+zn90kg0z6d4yNv/Q5/g7f8pDd2OHR+zy6eptJlLefDhigYB8NgFQ8eg9Ht+LIfCK6PhndTOLL2MTPkcn3X/vpj3j8uYbWn8eRFYK4FyOWcOJ+FF2NYxkksUVMrcbQ7QSx46AXiz+aSM3Pz0fPji4PDGwiyEpi/IOWNz/oaL7w4o94nP2ABgCT6m+s+SyZ2kaT29jcys3JT2ams9Hrb598LVQovlpbszWX3EaT6Wk0g0Y3EthyAl2KIQ+R5DZCpJPJFTx5L4p8gk6vJ1JZPEmcPT85Ovzrudl04vo7bTXRpoaBn77OYxcACmAx6Uflyqf05nwKoDDogErlFhYvJ2cXYsjq1HR2dn7zzuJ2enlt4e7m0r2lqan1udvZ1HQGT2RmUncxdH1mKoOjaWxiYzoWf2foTRn/jFR/TKoS5OezWAyuiPfB2+8cPvIEhUIBAJD/U6lUsltPo9GoNAaVDswF+/pLpefyCzpyqGExv7eAE+bwzgnKLhUK+vIKzhULR/ZxOws4Q/t5A0X8kJDfK+Kd5vBPF/D72YK+Yu4ou7ifw9+JYkF/sWCAKxzkiQZ5oj6BqI8r6OXyQ5KyHrM67DGFHfqwVjEgg/oU8l6DOmw39DgNPTZd2KofsptCNm2XWdVlVoVsWtLOudOm7XEaIg5zt9MUPGDtOGj1Ow0dTnO329Zh/7OR8rvBttch7ruz28eMa76aIfoWefwfGz0uc4+B5CB9AAAgAElEQVTL/JjkvtNtfnw92F8vdmUNX37n66M335/cf+zL/sa3tNtiJFPQdosmqFZ0QrJ2SNKglBzXQCdUshol1KiQtStgn0rRplU26ZUtdv1OWdpl9jtNfqepxaypUctq1LJTWuhNE1Tn0jZXGFrt2m6nqd9l7auwRyosPU5Dl10XdhoHK21DB+z9HvPpKtfZKvfpCnufWdejgkOwLAxDfTAUgaQDCnmXHO6UlHWrd7T3p9QKjQJSKmRKtUIulz9G+q9yegqFolQq95J+1zlHs4f0XSTpZdKvhPdyKKKUk2qCYQgeVaqGFIo+mYzU6A3K5UMKxYhKNaCQ98vhfkgekUJhWB7SqDq0ymaL9oQeqtZALbCsVQ4165QNekWrTtmkVdSrIDJqFdJaBVSnhGsVULVOdcqoOWVWn9BDNUppCyzzQVAAgk5oFNUGTYvd2KhXBxwWr9XYYNS1OizHK2x6IXsfDVAAYDIoO7IzGqCS5l5UAGikDfjOlzmAQaMxigrzF7D4g5nkWiL+yVQS6x+8XFf7xbWxRSKewRML0dhmMpnB0XUkuoImVhFkNRbPoGgGT6ylpu5PzaXHYvcXZy8+/0I7XxR85vCvUlPLk8gWMbWCI+tIfD2FzxNIpcUKqPTC/QX76KBbqnhVxOECWiGNxgRAmlu4EUWW0NTHc9jta+/1uyom3jy5gdxaJdBNlFiejH/XvDWR3E4SK/GJhwl8JZVaG0c3EGINxe9FkfX5eW5BAYtJz2ExmACIiwq5OTl0OhMAcMTtuX/7zkY8jg2EL546OXvxnY0ETtoDkNVpUnWYRhEyi11LJDLxWCYey8SRVQzPEMk1IkXWlrdnZyYuv1ucl08BgMGg7adQHPLSjgpH0GXqrLC1HbJ3Oy1ej95n0/ltOr9NF7BovRZNu0XTate2ufRtZnWH09jpNvvtelJd8dgewuDXe5m7h+LOeIXzS1/Pbzsj203BCoPPoW2wm8uKuTm0PECnVup0ayiyjiOfxZCVqcRKAp9D43dwJD0+9iCJffj6T7o0htXotYXb+PKNifV44jYe3UziqwkknYhnCZzUYz6Ymn44O7uVnLl3+87E22fvvnPh7+fvpPr6GoV8X7msTaIpK8in0ACgUY9WuD6bmVmNxTeJ6e3pO3fi8U0s9otZ7PqPXms2mx5ev54ev7GMTT6ansrGotkksZZKrkXjqxPR5WQijWPrM1OPZucyc8m1BLp4/p2pdy8vpeLTkZ4WvaqjVFat0Ehy8/MBnQmAnSs6YjAxAaAyGYBKs+hMG/P31ubuZG7fnkbQd99++9r77199793Lb59PxaMLBHEXw1aTeCZFbKBIsjP83lMvx46f+vD5l39mcDYppb2QTk9l5lEBBYAnfvCkzWCi0ml0Op1Op9NoNCaTSdYFKRQKi8Wi0Kh0JqWMDt4sYJ/lCs8LeKHcnOH9nEuF+V376SNFeaO8ogtlgrOcwmFe4XlB8TBbGObxwrziwSL28H5uH5vXV8wdLiocYnOH2NzBPTHE4Q1xeAM8/nAxf6CYFxYLe5SSHj3cq5ZFZGU9XF53iTikhnss2qBN225W+kzqTque/Jshs+ROl6nTbe5wm7xOU4/D5LfrfW6j32Py2/VBp7HbY/kTyPRt8+jfgZOOb9ym/e890WP3/3OR/rELlC63mVzo/FcQ5X1L/Olr+vb2UHYvXP53XkzAYQhaDF+SXtepUQYhWSssqVNJyCmwU1p5rWKnAd+sghs18kadosWobjNr203adpPWa9a16FV1SlmtQlqrgWp0sma7ps2hazEoAgZVp17dC8ERObzbiR+Uy/shKCwp74KlvSo5KdbrgaRhGOpXKvqVin45NKRSdsnhYHlpl0rSpZAOyTXVGuW/T3oKhUKS3uFw2Gw2u936GOkPQ9Jak24IlncpoRC8Q/qIHO6BpD0KKKxVhrXKToUsJCkn2U/66gzoNcMm/ajFeNZuGTTrw0ZNj07drVL0qJVdWpVfq2jVKWuU0kYV1A7J2iFZs0Zer4Gb1HCTVtGghusV0kaFrEkJNSjgWgVUr1GcNGlOmFU/NcuP66EataRZIfHJ4U6Fos6oPaGT19u1rTa9z2L0Wa1NHs9rNotJVJILAI1BBSw66U0mLCzSQ/DTBw4e8bgOVTjdNpOYU5jHoFIAYOblUvL3UQB41emYHRhMnz+X+ejKg2Ri4aPrlwPeB9dupqcTGQK/G5tcxRMbBLEdi2dSqRUMXccS28kU2bPPovjyrclH6TtvPflMG0eYef9SZmJiA5/KRrE0jm0iyFYq8XBxtj8QAHQahUbNoYCGcnllHpMFqIBFAftoJ2qO30Vjy/jMdnw89dZwi8mYvXBhOxFfSWDZZGoJjW7g8d3eMJnN74rwl+PoChbdmry18daldCK6MZUi/Xo/nZlfiiEjnZ10AAAAFBqV9DyhAGZ+HuODocEtfHY9jk401zVCsrFw3yZO7MAeRXfnC9IokiXwe7FoBkW3MHwTTWwRU6txbBXD0wh2f3p6JTqZjo79fGmh5kev0gGg0+mAQivKpdWY9UGXqdOs7nCbuq36Vou6RSltVUhbYUmbrLwFKm9WyVpNKp9DH7DrOxyGgF3vtWgCdn23x9LrsXY7TX94KtyrSyJtNzocBvLA/o794h0um9+p6z1gPaHV0AGg03IoDPqzCg0+PJi6cunjm+P34rFVnFifnl2ZRD9JzNxDxv/LzEzXocqhV1/cRicXJseWo9GVual0bDyTRJaIWJqILU3e2kJR/Nz566He2x9cfYhNz56/sHTprd8kZ6+8frxHBXfBUL9Mq9ufTwcAUGgqWPrFwt17E2MbBHFnEptP4g+I1Eps/ONEbOCpJy8/89zD6UmysnIfTy6jSIbA05PRB1Ophdj4Kjpx+8I5tNW3fO2DDWRy5dylxctXHt1ZQN54o0+lOl0CdenNHlFpAaBTAChl5sACQQ6dBqgUOoPla26fiSd89Q3PPXWUNDxiMGiAAugMoIKlidjE2r27U7P45/O3p0ZPvwZJutTaQLnUL5P0iCUdBuOPuKUcAJh0xr6cXAoN5LJydo2TKBQKifndfzkA5FOoPEB5tVwakkGDXP6oUBjmFY9wBfUi7k9L+D/kFh8r4NQW80+UCBry95/ligf5gr7iooHCooFCToRTHOGwhwoLRoo4I0WcLwfqvooBNpv8UV8xp1tY3CXihoTcfm5xpKgoLOCH5ZI+s7aXHELzmDsrLDv+GU6z3270O00Bj7XVbWmw6YMuk9eua3PoyL+9Loex6+tza983vsU3/jtotPtn/H1I/4fXBH+JDjfJ+L3x15m1+95h/sN34xvf28fia+/kHqHPd7/Vu48NOAwBi77dpm91GLxWfYdW3QHLmuHyWmX5MYP8uEn5plF5SgtVw+W1srJ6WNKglDUq4N1oVila1MpmlaJBDjUoZY0qqFEl9RpVAZOmXQP71fKAEu6EoZBa3qdV9WlV/Wplv1IRhqGQpGxABg3LFcNK5QAMRyBZRL4jj+uDZUMqZScMBUtLejVQj0I2CKvrNKo/gvROp9Nut++SXqVSyVSwVgnvkr5bBYdgWR85CSCHuuWyXq1y0GYccprDVn2XQdVr0YWsupBdH/aYBw7ahw45R496BqscPQcsgQqj12Vot+3Y2rRa1G0qeY1c0qiQtUulrVJJo0Zep1c06ZXkupp2k7bdoG7Tq+qUcLVC1mTQnLJpT1jUb5jlJ4yyUxpJo0LSroADSkWjSVtrUNWbVC12fb3F8BOdtlJSzqZR8wAooLHogMoEdIfe1HLsxOVw/71b0V8srny+sPTze8uPbt9G33nnTCBohZVMAEAOcz+D9pJUWi8Ud8Ly919/bW3s5vrMzEejA1vXbz6YSW4iyCfJ1CqBZglsHUvcw9GFyYmNBL6JJjYSeCaOrERjn0zNzL/7s1ajGW9sfohMriaQdBTNxvFVUsWGRz+fSo6fOycWigCgspiUH5SUlwHAoOayWCwKABf7+h4QqTQ68wmeiPd0BI8ezX740UMilcbwZYJYJdBNLLY737WjzUbQNRRbQ7GNBL4QvfH2sdcuuA7OXb2UTkRXY/E1FF+LIQ9nbs+NTUj4AhaLBagA0KkUBh0AxtHD9n/eXlu4EV9LJIjGk/06derizzYSOGkK9FV3AE+sJrAsga/E4+tYYiORXI1jK2hiFcPXU8klJL6awFaR2BoWvT+D342NF+fnMpk5DGZ+DgDP8YXtakVQLAzKpUGZtE0ONZWKWsWiNoGgjcdvEwhaJaVeNew3azqcxnaLps2s7nAYuj2Wbo+FPOOQFbDd4bqAy+x3mnwOIwl7v13fbtP6HHoyEfmOU5LPYws4DL0uy2swRKMDGj2HAoCbllsjkV0JBz9DsTvY5Mrc1GIi9mjh7kwiupFIbqHo1MVzfrX+1sma+/OpDE7uO0Dnx8fSKSxLIJ9P4/96d7736OGXBXyiuu2Lm4l3amoX3n37PoE3OGztZfxwedlbcq0xP5cFKFQaSy2HP709l0Em7hPofRTfnJrZiuNL8Vh6OrH+/vtete5M4/FH01PbGLYeR9MoksbQdRzLTo5/ksL/NbM4WFFZnVs47m1evfHee6+fuHPh8oPp22ddjm6ZJMwVtivVNr6QASjU/bl0APgc9k5/DoC3z5w7YHOyaNS8vBx/IDg0Mjx85nRHZyA/P5cCwI9efmFhbmoew36bnJuobzxZJuoqFffC0k6DIqSEvVqLlplDAQBQaA01tYcPVwEKyM/NI2v1pAyTRiOnLAEAgMYAzBxGXl6OnFP0Y1FJhFdyViDu5XLr5Pof8ErzAaBR6CrAkTAKivJZP94nHuWVDPOFI7ziIXZRf1FRhFPcz+EMsguG2EVkDBYVDhYVDrB3or+oYLCocIhdNMAu7OUU9HIK+jiFw0WFoxx2H5vdyy8Oy8rCemXIrO2x6Lut+m6dukev6TJoOo2aLouuy2HsdFoCDlPQszMg57frv+woGTr+eJflPzm+J7b3roHZvcD98/rPk79tl/Fkh34v7/+qpH+8Vv+1Yv6ffK2zq3b8d9/qvaT32/Ves67dpm93GP1WQ4dO45PDTbC0Ril9TSt7w6w8YddWW1TVGqhOLqmHJU1KqF2nadWompTyRgXcpJST0aiAG5SyBqWsQV7u0yk69Cq/VtGhVwV0Sq9F0+HQhdymsMfc5zb3OU29Nn23STWgkA8o5GEY6pZJeiBpr0oeVit6VHAIkvTBUBcMdZaV9ukVYbV8AFLVa9V/BtIfgWW7pO+VQ7vXF2GtkrS+J1fRj3psZw84Tx9wjh50njnkPnPEc+aQ+9yRiuFKe6TS2l1pDnrMAYeBLKN5LZo2vapaJa1VSBul5c2QtNmkbrTr2h3GFrve6za3O4xtVl2LWVOnUZxUQfUGdb3DUG3XnbAq3zRB1VppvULaLJe1KeAaraJBq2wx6NsrXT8062SF+SwAchl0CoNOpVJFRcXNx07ciSP379xZTeIrBJpBEitoYhlFVhNYhsA35+ePvfJDAAAAdDYAP1RAfXajXyzwSiTTff33p6fTiein0fj2+Njt06fvDgyjF87cvvVRZi65MTu9468SR++nph6mkg8T+OKVq5Gqp8c6go+msM/uzCxMjq1jRCaOpaNIOoUtxG5m3roYfuXHUGExlUoHdFBWkF9IoQDqfiadoS4tTU9GP0um5q6hv11MX/rp8WsdwYeJqewknsGmVvBkGkU20K881NYSiXVsx4h3NRb/bGo6efGc12zqFEsvtdXfn0ttJ4iVsYm1ZGIpHssQybDXTwGAnpNLozMBoOay9g2E2tLRW5up21sz0+eOVEQ0yntj498oByM92rIIuh5PZFF8NZlcIrB0Ir48eStLYCsYmiHw7dnkCjK+eTv54xeeo1BoFHpuDqCYaczjknJfEbuNX+wVCH2Q3K+AAgqoQyYNSMp90nK/AvIZVAG7vt2m9dp1u712r1Xrt+u7PJbdZUWkb/FX4TTuVGJdhnan3uc27tzhWw7jNqe5w2kcPug6plJSaIDGymFRwau80qBCd7U/9On09MYUMXfm7GJv32Jv39qHVxanptcm0UdEcvnsW5Mt7feufnA/hq2kZjKx1MO5xTSGZifHP6qve/+FFwaNhi5YshAZnBu73vnCM5m+/t/dvXdKo+ouE/WWl52Rq/X7c5iACgBDp1J/Pje/EZuYvnT+bv/A7dNnFz64so4l0in809TUzJmzV30t925eW54Yz6AoqffcSGD3J8ZvtbZdfuX585WVfpnsI3/do/iNC0+9EA1HtlYXQwZtW6lgAJJ1Oxw2kZAOKKAgF1ABlQoYLCYAoLy0TK/WkBx+89SJ//E//+3f/tf/+h//3//8/e9/7/G4SMPjt86MbN+9t4DFr0WCXlh6VgZ366BaSDgig59ji/cDAHIYJRLpyvKq3Wah0Kg0Go1CoTCZzK9ckalUEvlMAJgAAEAFAIgBeF0oalfAb0j4T8rKtDksiYBnO3igtJAP6AAwwUFA7yzm9XN5o9zioWJ2mF0UZhf1czgDXHZ/cdEAl93/TTHAZZM/6isu6isuGipmj3LYZzic4aLCcGFhmFPcwxeERKJQSWlPaWmPkN8t4HWJ+D2lJSFJWUgujWgUQ2Zdl9tMikM7vtyIEXTqA398P/hPju9JrL2Y/4uSfjet/1smfccfiPYfy+B3S317rwn2Tu1+9yey112Y/LLNrG236b12g99q6DBo25XyRoWsRil9Qw+/adXUOA11dm2dXlGnhho18ha9ym83+2ymdovBaza0m/StBm2LRtWolJ+Sl9fIJXXysnadImDS+AyqDrM2YNF2ukzdHlO4wkLuqD1d5Ro54BjyWPodpojN0GvShIzqiEU37DAP2U19Zl1YCYVl0k6S9Dp5WC3vlyn/ONJ/Y/V+l/TDcgVJ+h6pJATLIhrlsNU4Wuk4c8QzfMTdf9g56rGd/pL0p6tcowedIwccO6rCSlvfAVtPhfXLI8rotWpbrLo3DfBJjawOKm9SQq0OQ1ulxV9hJWevm93GRqe+waatN2mqNfIaFVxvUFcbVSeN8pN6uFoDNajhZrWyRaM6pVXWadRNFstrRpOUXbBTmKYzAA2ceOMn2IcfPZiey2LYYnxiNYllZhJLMSSNoSs4ksHRpXhsEcNefvZZQAEsVi4HgGNqeUuJ4Jwc7haVjtc1fLp453JnYPPKlUQkdFKjaBSUzgz2f54iVqbQLIFnUDQ9GU1PRrMIuoWii++/H3rxpVh166MUMU9MZiYmMvHYz4nUJ1MzWQRdmSKW0PEPXzv2olhSAhgUQAV0GoUKaABQ9/GYVMrpDu9n0/gXBJaewH8xPfvOiWrk3IWfzy9nJ/H15PQGQWyiiTTyNdsWMv/OxJHMZOzTRGLh0ttdTlcXrF26fmUTT6zH0Y04ujZNLEbHt5LTMzfH1BBEepXTAYWbX7C5ML2WiC+hic0kHjTq3nv++e252W/TAaQnJ+7jye3k9AqaWMDi2VRiE41+jsaz0bGtVGolQdyLI3cnbqwSsZvv/oy9rwhQ6QwaXQAoT8tKWsWiBjG3RVLaodMFncZOuyFo0wcsWp9V67Vq2536VrehxabxuY0dbpPfaSD7prv3DNr0nXbDY9FlM3Q7d4q0Prdxxxv/O47kCkebWR12W49rtACAvPz9dABOKnTvOQ5vXr32cCLxYGoaD3R0GY1tRl080rWydGeLmFpD8XUMTd+8Ntnb+4vk7F0cz0yk5m9Gt5LT9y5fbtcbOsrKusWiiER8vuqpv99Iv11/LKBTfjp+88qp48Plkr5i8VmdQV+0jwIAoNC1StUXt++sj9/CTo/4tLqg1Xajq/NhAl+MTqZRZJVAP70xfjMcepjCH0yl0pPRpXjsk/mZpXffrVNom/i8XomsS1Te+/Shf713G61uqNObPo5Fp04c74IlvWWlrVq1kcPeR2EAGpW2o7alMJlM8lAnFfKiEvEXX3zxb//2b7///e//+//731564UXSpvfZp55cR6dWCGJ17NqFo0c7eMJukTgsk/bBkJVVQKECQKUODp1Op9M0sLOjbyeDp9FI3u+W8T1PHojh2Hx69cmXXmQCYGTlOegsay6rPJ/BBOClo0eXl5dXHmyebKsBVGCjMmrYRZ1szhC7aJBTFGYXRYo4fcWciICz65ND7pUnV8tHhLx+IT8s4IYF3Aif2/+li85QcfEwp3iUyxvl8oY5vIFCTl8Be5DNHeUJBwoL+vYX9O0v6C8qCrOLejlFYQF3UFLSZVKH3KbuSnPQbdjV0H3Htuv/qPhL1+136tXfaaHzt1O97/gepN97YeSz6bx2nc+hJ/0Svvvzfewd3iG9VUdarXdYDQGTrk2rrFdBNSr4Tb3ilFldY9XWmlV1WrhODTXoFU1mTavDRDrjBjz2DpfNbzc3GzR1SvhNeVmNWlanlbXbtB1OIyk39tv1PRXWngpzuMLSd8A2fNh15ojnzBHP6UPOkacqh5+sGDrsGjrkPH3Yfe5IxehB56DLMmzS9UIysnrfrZSElFC/TFmr+x6k/25FnlYJH4VlDWb9qJzcTw91lZd1yyQRnWrUZT172DNyxN1/2Nl3xBmptA5UOfoP2iNVdvJG/wHbYJVjpMo5eMjZf9jZe8BOzlL7KkzNbn2T2/hTs/y4TlYNlzdr5D6X2VtpDbjMwUq774Ct7YC10WWos2kazNpmnbpBDtVCUI1CfkoNn9TAtWp5k17dYtA3GXQ1WlWdzfK8Rluam08HgMlkspj0fBbzfF/f1uztT6Zvr96KbqKJDSKxMHZzG9/Jg7NI/D6BbyDYwkT0tWefzaHTAI1aymL+tLy8X6n4mVbfnLv/6k/e+HVmsanywMOrVz4e+3DoxSd7SqTvvvziZEPT3avvkzXzTBzZIIjNJL6NIVj/wKWfHv+nmdvpyYm16dT2R7cexGKPrtxY++haFkOyKL6OI1eef/Xlcpm8oAgAKouVS66apVBZagq9CVJc9FQm3jyx+sH1X04n0L4B/GeX7ydntxOpLIFsIdGPEWx5j5sK+QLWUGwDwdbj6N9Np1Kh8HFYvtg39Gg6uTo+mcWwjQSWSSJrKPIAT969OVFhtlApgEoB+QxG009+stMCmErex5CI5+DyyJn1meRe55a95i0bRGINxdKT8SUEzRD4J9PE2z95vdNgGu/u3EYSy7FklpjZIBLrOJLGsR8/+yJg0Bg0ei4AplK+T6tp18j8JmXQ9tXQ0e7cUbvb0ObSe12GgMsYcBjIpmmPwxQ0adqUMr9cElBIySBvk96QASXsV8uDJk2Xw0h6gPvt+u/oj/qthqBT3+uxntDraQAwaMw8Jm3SH3wUv7GcjC/G0WkC+xxPdBw9cNyqxyJ9H99OrePYz+fmH9yZnb96OXC46uHExHud3atj8bs3xzeT+PqHHw1XVnWVwX2QvF3Iv/rKjzavXDl/9GAHp+ido0+//8ILXpGgW6fvlalkeXQqlQroLIVM+tnc7EY8uoXEhp54olaumnv7rV+mptam8K0U8fGdmY+vXPMfOfIIQ97r7Fy8dmMlHl/BkfUb1y8882KorGxYphgUy9995ZVHH37w9tGnAwrNBZv76qGjIVg2IIN8FrORw84DNECl7mfl0pkMAACDwaDSaYBKARTAYDBoFOorr7wyMjJy5syZrq6ukpISOp3OYuUeOfLE0tTcnRSxMZNcRccexW+cs9h7ZPIntHwuANR8Jp3KKCxk5+7fxwSAxWLRGSzyvHH8+HGVSgUAYDKZpO/mD5575p9+85//7//r/3n1R28AKoVbzC7Kz6EBUJCXD2jUkdDQ3//Db//5v/7XCz+7xKQCCTP3DRHXx+UOsTmDnKIIh93P4fZzeSEhl9w/u2tstzdCQn63gBcS8iN8fqSYG+YUR4q54SJuP4c7XMwf5hQPF7KHCgtG2EWj3OIzHM4ZDucMm3uawx1icwbY7AiH3c8t9ktLeq3angoTaWjf6f4DyfffTHwj5v9c4P82LeHfpiLvu694doU7uyvy2m07QfL++1/J7dYGWqy6FqvOa9V3WA0dZn2bTtOgVdaq5afUcI1WUaNV1KmhOqWsTg3VGZV1Nk29Q9fiMXkrrf4Kq99t8TtNrSZNnVJ2Simp1cnrzYp2t8FfaSZrkEGXqavS2lVpDh209lbZ+g45yBg87IhUWvsP2gcO2vsP2AYO2keqnMMHHQMV1rNOSw8k7VTAXeVlQbi0RyHrh1U1+m8lfV5O7tdI/4dTdpo9zjkk6UNqeRiGuqTlQVl5r1Y54raeOeIZOuzqO+Lsf8J95snKs08dGDnqGTrsGj7sGjpgH6qwjRxwnD7gPF3lGqly9ntsPTZDp93g95ia3foGj/ENs/yYVloNl7dqFOQkoteqD7jM/gqrr8reWGGqNisbTdqAyeBXqRsksgaFok4tr1ZCNSq4Uatp1GtrNOpateqndouCx6MAkMvaxwT0Mi7vwunhR3cWV6PYBoJvElO3J8aWE2gGRbfQxL1YNIOjWQxZQ5FNPLGKEz995WUAAJXJUDByWjUGHyz1S0tGzIa1cN+H9XXho0/9cuLW8gfnGiq0EXFpUC5vEks/rK3fQhPZaHwVQdIoko5NLl3/6J1TNQ8vv5/FYvcJfO3W5OrgxeMW2+u8svPHjt9Dxh8iqU0kNl3f9pICLt23D9DoTEBn0hmACQCg6hmgplzYXsprLOGFnn/u16nY0nvvr+N4FkHXE/F78WvrNz/YvHFjOZXcS/osgq7H0U00sZ0glm9c7X/ymetNzb+eml7B0I0otpYkVhNIFottxZGPEZy49K5OIqHSACuHxqKB+MWLD7HpdBTNTuG3urrOPv3yr9HUIjL5TXV7LIthS2g0i2EbeGoVw5cmx3+VIkYPVHWLyts9zs/Q5Bo6t4rOZuLY6uTYJ/Pz19+6xC3an0OlswCQsAuCVluPzZbKDk0AACAASURBVBByGbvMhm6zrsuiC9r0HQ5DkCwYOoyddgNJ6y63uddl6bEZvEqosVRUL+K38rltAl6bgNfK55K324V8n1jYLBQ0i4WtsKTLouv1WHtcZrJi9G2Hbshp9ts0PRXWWqs5n8FgUXMoABzi8d+qObZx4+YX8blsavbzCfSXCPLLZOrXt5KLF8/OnDt359xF7IN3lm68j5yqvR2O/PPsfGZiYoNA14n4J7HJaz85HpAoRqyu4YqKe92hTr21S1I6BJV0S2G/sDwCyYKwpkuiFFEAjUYDVKoKlv7i3mImHttI4L9EkH+Zmlkfuzl34cL4exdmP7h858rlz65eu9XYGA9H/tPdxfXJ+DISX5tL3Y9HJ081hEtK+wy6AZdndmigzmDolmu9ZeURSNZVIoto1AGxqFqngov20QEF5LDIWh3p2FN58EBu4X4ai8lkMumAAqgAUAGgAAqNCig0QKEBCvX4qeoVfGZ+fm4GiT1cnL3ZH+qTacNiyC7ZVwgAYAAWoDEpDEAFuWShnkKlUql5eXmPHj167rnndvv0FApFoob/5V9+949/99tXnn8VUOjOw4fmV9KAzmIwc6hUOj6BfP7LX/2nv/+Hy0OjdADETMZPoFK/SDhSzB3mcvq5xYNc/gCP3yXiRvhCchNdn0AUEX4teoTCbrGoVyyOCEV9XEEfVxDhC8NcYZjDixRx+ouKhthFw8VFg5zCCDt/cH/hSBHnNIc7zOENcXiDXH5fMbensKiFW9ijh3vcBp9D63UZgh7zl272f1WK/8nx5yJ9t9O0d3x/9/t/g1N23zia+Fh3g2R8u0VDRptV02bVfE/S/2ELwG/Xt9j1LVZdu0UXsOgDZmObUdegVVZr5NUKWY0SqlfJm9Rwswpu0ipqzapqu6bRZWittLQfsJJeyB1Os9esa9bIa5TSep28ziRvdupa3YY2l76zwtLlsfQdcAxUOYYPu0aOuIcPu4YOOUeqnKOHnGer3BeOVJ4/Wnm6yjV80DFS5Rw54h454j7jsgRl5d0qRbdMEoRLe1TQoEJTrftWRd5XpCc1NRqNxmq1WiwWi8XkdjsNBt03uuGGYahDWtYJScJ65emDjtGj7kiVbfCQc+iAffiQZ+RwxcjhiqEq90CVY/CQk4yRI+7hI+6+Qw6yeh+06f1OQ5tLX+/U1JiUP9FJa6TlLWplKzmAWGHtqHAEK53BSqe/wu51W1vdFjKaKwwtVsMrWtlxvfy4TnbMomg2ak/oVF6l0SgsISvh+wAoK2Cnbo5/NjOTGRtfQ5FsKnEPjS5jk+tEPINNLiE3t2amVxNYFolnY9H7eHIFxZ85cJhOZQAGUOfl+IvL+3T6ZlnZWZdtruFURCEdPOpaPT+yeent14SCUUh5VqsZLpHd6Gn9VQzfHEN+mZgb93aOBztu+dvffrP689uLq2gqOzOzMZP8FI299dIrzTrz3Lnz6ylsY5LIzM/8NjU90FpfxmbTqYxceg4dABo9lwKAIZ9aC5d2S8q7JFCHx/3w4jvbSWLm8pWFaGz8teozTxwa+eFTd65d3kpOr02i6yk8iyErWHwRiT1Esc8xLHH90sAPjt6qb3gwk1xG4vOT4+vxxN1kaiWa3ByPrSTjq+hE/eEnGYACKHQ6lWY36eY+vP5Jam51JvUAx+9ceueiv/1TBF3DYlsIkU0SWxPR9GxqFo0vpIhHaGIRn0jPxNJELIviqxPIKoY/mpsaOnokzBaOdQU+RZG5RCybTD0gUvdiE9sIur5w+4dHnwJUKp3KYlOogYMH2jzGoFvf4TaQeXzAY+2qtHcfcHRV2sn+etBjJoebfVatD5b6hCIfT9DOFwSEO+EX8Mnw8Xk+Ps/HE/hF4jaxqKlU5FVCXRZdp/1xzfNe37Ggzej3GHqchia7jS1k7wM5BYBqYuQ2S+W9Bypjbc2r711cnPho6ep72eHTF599rrGosEdcEhAKaoSc66++NPn6az0Vnvl3zqzeGltDkQyeWE3iczdv3BocxAZGtt7/8HpNtb+8ZEQl6dOUB0Ulw2JVv0zdqJd5+eUwABQKAFRQVsa+HxlKj56evXV15dqVe+dPX3zm6bYiXpgrDhZym7ncj158IX7qRG+le35kIHP16kY8nkaRTCo1c+sWHh6JnRlNX38fbW7yCoSkh0ZPacmAXN0th3sF5c9D5VJAyadQAQXk0BmAwaLRmYBCHYuhP/3JSTqg5zKodDqgAworl04BIB+A/QwaYDJBbiEyn9lc2Zqavr2IEfcnxs8eqQqWSnrK9QWFuRQKhbTAE4vFZOtnx+ge0AvzClbWsoeePEynU1lMek5ODqAAkbD44/Xs//Hbfzz15kmQw8rj8kYGz+YBBqADqbR8M7v229/847/+7v+8/NbFfAAk9PwXFfAwTzJQWDRUXOTlsbtF4pBIHBIJHqP7boQFwr0REYrCInFYJN5bzN+V7w1yivq4gn6ecIgnGOEKhjnFg0XsITZnmMPuZBcN6lRhj9nn0AdsxpDT2uPYcW7YLebvLeR+G2h3fWr3cvdPWNH22MMfU4/v/dGfl/R7jXr2HjV/RbR/Pex7rrdc+g6XvtNt7qywPLbldm/sor3NrN4Nr93QbtupvbdZdWSvnVTydjiN5FXdjtUg6WL0B5t/Aw6Dz6bzWvVfPlzncxibLdqTBuVrWtkxteykXlFrUDWatC1WcuuBvtVtaq+w+CusAY81UGnbsclzmZu0inpp2Q8NkpN6WYtN0+zWe+26QIW5w2GIeGyDVY6hQ07y/y9vOIaq3F9S3zVS5Ryscgwecg4fdQ0ftIdl0rBE5pWXRxRQSA0PyJVv6uQGBaxRQEqlXKFQ2CxWu9Vmt9u/5pxDHrcajcbhcFgsFqvV7HI5vmPDTVBW3gVLHyP98EHHUJV7+JBn+JBn8KBr4KB9F/Yk6fsPO8MVtm6nqcNh8DsNrW5Dg0tba1a8oZfVyiStGlWrx+pzWX0eC7noN+CxkzsD2itsZDQ4dM0W/etm1TEtdEwjOWaCG4y6OpvpZYWyAAAmncWiAYjLvjw0nE4m7xGTq0gsjSLLKLKWJLaIZCYeS6OxJXRiGYmvYOg6jm3jiYfJqSyeGu4OA0AFTIqUyagrkfQq1V2wtL1M2FYu7IEl3XLZIKz95OzboUOH29nik3xBA6yYee/ivQSenkBW44n0zeubly+FnqqaOz9y5+z5+Qtvp392efHM6ZWzp++/f3nzw6vLN66lY5P/gE8TQ8OJE3X+F58X7d+/k1vtYwHAoNGBjUkLKKBhrcYrEnnNpuzo6OKZ8xcamx6NozMNgVM87qjNlBoOf3Lt5iaCrUXjG0QijSML8ejaFL4xMXb+tdevNTd/nMQXYuPLSPRXs7O/SU39Gk/9YnZuOZHI3k5lxm8dEUtymCzqvvw8AF40mUaffvr8sy9gvb3b42ObSOxipz8biy7ExufHJ9IYmr01liHw9Ti+hhCPUGKFQBeiN9ZxZItILsWQNRT7eHLSZ7W+88wzn+DY54nkEoJmo+hmHN+YnkqPTazPz4ZbWnML9zOZOYUU0Gy1drhNnSZlQCfvVMNBlTyokgeVyqBSGVTJOxVwUC5tk5e3a2RtOqhNXu4tFQWEgg6RMCAW+UtEPrHwsfCKBEFRSUdJaSufX88tbi4vCRhUnXbDtzmWBFzGoMvW7tR2ugxNdrOsVMgEVAoAUsB4Qy33lssCUtmgyxGpcIcczg6FqhGShBVwSFIWkUpCkCRQKu6Ryjpl8EkOd/bs+S9w4mOceEgQ2xj2YCL2G2Lq725G23WaPr64u5TfXS4Y0qt7ITgslHQ5zEd4nPwcCm1fLicnV83Oby2XdpqMkaqqiLui22INqlX+8rKIVDoIwZ1l5UEp1CoUN0PQyyLB7Pmzv1qcX5m4tRGPb8fin0zPZrHYz/FYQKvvEUv6JFBEKh2G4MFyaXdJ2Vm54aistIhBoZBbDAAoBLRcQKVQ6WevXsW2Nn7w5knAoLP2MQEjHzBYIDcnh0qnAcCXSrpGRye2M/PEFB6Lfba0PN7T1SyXdZr0P+KJAQOQ4jsqlXr69GmBQEC25/Pz85kUBp3BymxtHH7yCQoALBqdAgCVxqDtyx84ffo3//mfZmZv8/n8nBxmJNILAAA06hNPPYkgyM2JcWSWaAg0U1hgfx7NzC4MFJd187nDXE6vSBARiHuFItKs/nuSvk8kDovEA3zBAI8/UEySnj3AZvdzOP3FReHC4kgRd6CoeKCouL+Q019U1F9U1MdmdxdzIgppxKLrtO9orckc7htJ/42M/0bS7+XE/2Z//bHf9pcj/WOJ+38s6TudlqDrS647dTuZuuNrWfsfkn5vHk/GN5Lea9/V3Jm/MhX+HqRv/ZL0LVbdSYPyda3smBY6ZVTVmjVNVn27w9zmNLY5jeRutm8kfYOs/MdG2SkD1ObQtXgMfqeho9LS7TRFPLY9gN+5MXzYOVTlJnvfZJCkHzriHKlyRCAZSfo+WLZLer0cIkmvVCrtVpvNYrVarVa7bf/+/V/zyFMqlW6322w27/bpHyP9CCwn+/SdkGQv6fsO2YcOu0aqnIMHXSTpyZc7dNhFxvBhF0n6SKU95DSTDs+tbkOjW1NnUR4zQHWQtF2naauweZ0Wr9vqdVp8LqvPZW13Wbxuq7fS3l5ha/NY6236OrP+uE13TAsd10iPm+Q1Ru1xk76AnZObtw9QGYAO3qw79jCzuozFPrmb2CLwR7dvp2OxTBzbRIm1GLZGpFaIRAZPbBDEKhJbjUUzcWQVJ+LXb1AAoOYwiwB4Vano1+q7RMJ+DRxSQkFY4peVdZXBF55+7rNbtxa6IvGOrnvnLn2SmF6bnd9Cpx8mppbfe2+ivrrLbU6Ffa02fb/dETKZgxZDd6Ur2uV7lIpv305tLM6lRvuHXBXdTMGzHAGNCmj79wFABXQag8YENPBcYXGfRB6CJD6xsN9p//jSxaGa14eqj/9ievruhfPHy0UXIVVIpeyrcK+OT346PbuaxFdwZDMWXxy/sYZFzz/38j/jc3djk5t4ag1F3q+uGXjumcuv/jD5s9PZmZmF+ETm+k2PWEKjUKn5eWwAXpIrussF3mLOkMm6deujTBK5c/XqZzMzj1LE6p2ZzTsz67P4/HRiMzGVvhndiGIrGLqVwDYRJIvEl+KTv5idGXzmhZHnXrwfu5WeJbIYsjwZfzQ1t4GnMqnUFpr4OJk81xEoFnIBlZIDwOvlZT6T2l8ubhXxO0TCgFDg4wm8XL6Xy/dx+T4u18flegV8f4nIWy5uLxH6+LwAnx8UCoNiUZtYsDdaRXwy2vmCYGlZQFzSyue3lor9WkXQpidbAN8cLke7TdvpMXidpie0yjwKFbBofBpLw8vrV+j6ZLJeaWlvWWmnpCwsk3ar/n/u3vM5rvNK93337oQMdNqhe+fUOWeAYJRk5UBSJMEIgETsnCMiSVmyZHkk2ZIVKIokIoOonKhASlSyPeMZj8/43Dp16364t+r+G/fDBpsgSMny3ElnqlaxOqHQ2Kzu37vWetZ6+AJDNSxChSKrFJmnzJNmtMBQVZx8MT1+/udzp2Zrp5+Y+eTMa//8wTu/X1n6TTI+aiXnKDbP0WWOLtBYCjc8bbYUeRtn7AZKoAYwr2w74HLVaWGG5WbNdAY1l1muzLN5ylzjmDrPZQgiyzLTpFBjLaMU+9vDh945OX/h5Pzi/PTV06/8/eVLf3778pmJ8TwrTlFcjeFyBFlj+SmRLXFcQ/IILRoAAaCC2tQqvLOzW6FStqkBDP/ilVcu/a//eerrr7fc+wiAVGoAFAAAtQoAFeL1ld54/fLv//jSP3z/4cdvXvvkna8vrkw/cG8cRTN2+/2ani4AZCmfx+O5fv06DMNrKQIAAILbtd1Xv7n+wEMPQgB4na5777lPqdK0tbQ//+JL//SXv5w6dYrGzS2w0hf2Aw0AkLq7S0+YGQTFMYroxrVABQAEdADs7UEmaXzaYDiOm6cMWNWE1RDDHTv0a2Z06MZl+HUcm0bQKb2xrtXXtfqGztDQ6Ro6XV2vq3fpG91rpJ/WGtYe1OtKBn3VjFd4puy2FqLuVK9HFovctEv+Yfr+ONfXlN63SuX/JiSvrx5vgPq/+e7YO9bn/3NJn4/65Q9yJrwG8rjflgg4myFTvHl7/d0NsZ70a2l9wJEOOjeQXu4O/BDpEwHnetIfcVv2Ori9Tv6Qz3rU7xgLuZNRfzLqTUQ8iV5fPOZNxXzpqC/d65etWWXSj3L04x5u0M0nws54zJ0Ou3Kb/MWwp94b3ED6mS3huW0RmfQy7OVnZdIf3xqp81yV4ZqknxEtR+xrpLdYxCbpfT6f1+8zGAxrpJe19xRFRSIRj8cTCgWCQb/H41pP+uaUXVXk5Zy+5rSe6I8c39Hb2BpeI/3m0MyWsNxpkG+srfDdEp7ZGpnecpP0qah7IraW0w+4mGM8nXTa472BZDiQjAbT0YCMeZn06d5gPOafiHjHQu4hr+OA13bQJR5ycMMBx2GfexOOAgi0tXQqALy1P/repeUrZxZeGRqf9frGevvffeaXXy0ufrmyenVp9dOzi9dWLny2vLbo7ZOzZz9fWLy2vHL14qXXn3++VaUESlUrAHRPa4oTGhRVYU0VnsnybJ0kMwxd9vnen5/7x/fe+vb9t79aOv/2mbMfrixeu3zh0+dfmOnfkmTZOYvtOMWVTOYaw6RI0wRjSjFUkWBO2gNP926bjvQXPNYkz1St7n69QQ1Ah0LdChSQSq2GFUo19FCH4UnGUaCJAkuee3zXZ1P1HEG+Wyr+8eLSy7sH8iambhHLAjNpRj98+dUvzq9+dH75o9dPLRWr3776yvzIkYX52euX37y4fObK6urvL11azRV3Y+i4IL53YvaPl9+7trjw1bmFBzf3KwFQadSYAr5PYmas1KzIFU3088mx6++/ebZW//rV1y6Uqydjd5+IbHs9Ef/i4uL1leXv3nz70/Mrn11Y/nJl9YtzZ7+7uPr9xZWfHzg4++Cj37z2+pVzp1cvvPH55ZUvlhevLC2+fe6Nj1aXrr926sUDR+6VxBYVgGGgVcMP6XVHGdOkUZfB0JQZTeJoAkPiqDGJIikMTWFoCkcyCJLFsZwJT6NIymBIG40ZBEk3X3BbTBiNadyUwvAEhmVZpui2F0J30E7f7DVGw/mgq9DrzgSdx/w+VqsFSqABinYl2I2gRadU46h5i1CxCbMcV2KpBsMXzGSD42ZEcfHgnpXcaD7oqAjctGiZcThqdkfB7vjFlh3LBwdPPbyr4fAVKfRpzjLFWeosW6HxIoNXeOkhBAdKoNC0tAN1uwLqZ0wljisSSJXDZyVxWuALONagiKccjhJhLojs63t3nT52uBQOltyeDCvkealoc2VtzvnNW14eGn5l30DD6aoxXJ3n8hyVos1lic8KpqzDNkDwOgCUCkgHK6TWTkHXowEAboU7INWzJ3559ne/+/Xvfnfm+nf1xXOVxTdmVpezp177u9U3X7h65eWvPvzu8rtnalNvT6ae3XZfw+GvC/Zpihuwsh59D1BC8r7b8fHx77//XqPRAACMRqPBYAAQaOlo//Tzz7Zu3apWqrTduosX38RNBKyESJ42s6RWq+2AVO1AoQHKFkUbgJRqTTsASo2qDQJKBVCqgbJN2aIEoLe144iNrhr1JxB8yoBVTFgN1/8I6WXYl9d86tA6itZRdMaINnSGWo+u1qOr6w1TRmTKiNQNxoYcOsOU3jirR6YNhmmDYUqvL+v1NZ2+YURqHFP0WdMxVzLmzkRuKtF+nMG3w7uJ+bWG0Q8w/qck+v/xpN/4Bv4zq/eebNibi3jkVPsG6W8B9nqQ/xDjN8D+5iM+2x2GFX+A9OmgcwPpJwPOIY91n5N/3MUf8FqG/Pb1pJdz+lTMl4p4UzGfTPps1DfukEY5upnTT0ZdmZAr3+v7KaRvPiuT/sS2aEPgN5B+0CH+UE5vNptvTtkBABAECQQCHo8nHA7KpJcVefbbSJ9lSJn0JzdHT9zVJ5N+tj9U33Sz33DL+9scmt4SntocqveukT4ZcY1HncfCtkE3v89JjwhM2m1P9AWTYV8yGkz3BlOxQDLql2cV1rr1Ic94yHfY5xhwSod81gM25qjftSfgIRVKFQQrFS1tkPJ4OnXt0sWr5y9+cvzJaYo5TDBfP/vc71eXP14488nKwhfnV79cWf38zLmrS2uL4r9YXLp+/sLV8xfPv/bqjr6YUqluVaiUrfAQL9VsUt6EVFm6IPDTtDnDmlI8dfLeu789v3Bt8ezX5xY+/c1vv/zN89d+/atPquV5rz/P8nmMLOvN04L0pIk/wQo1hpkTpeMMXzVgFZM5jWNZCkly9GFeFCEFpAZADeOd3T1AoYEgAIMHe0zzjKvI0hWGKPD0pMCVCCJulxYahdcHh8Z6sCzLFXHihNf78auvvn/m7NeX337vxRdfzqbfrddy2zd/+ebi1dVz35899+FLv/3+9JmvX/7tS2Mjy0/M/f7Muc9fP/27leWPfv3re+/eKo8/EwDst4k1O1/j2NF2w/OT47/78O2pRx773Su//XBmOm6zD2oNK6X09UunP1t646PXT320unBl6cw7p177bGXx+uK5V9OZwj33frewcPXswrcrl66tnPvy9Kt/f+aNK6dffXfpjc/OL3370ku/uev+h2iO0HZDALQCcG9n9whjTuFI3GhImNG4CZET9IQZSxJ4ksBSZjSOGmWEx42GuNGQRJE0iiSNhhyG3TEmTfgkjo0Y9GMokreK9bCvGPMlg44f+gZJBf3lgLcQdWX9tqlY9Gc2i0YBWmB1u1rBaBTDLluNIIu4qWjh6yRVZ9kpSpjiLFnEnEHN1YBvpRT/+pnjv+zfVEB1ecxYYagsaU4SeIFnyjxbEbgcY0wKZInhCww1ZTY9w1tGBcmjalUBqAUou4EaAGBtaylJthmBr5mNJcpUFegSS+TNaB7HShRRlviSw7qYGf/TC8+eiEazmOm4YC1jxJxorTJcQRCLNFOlyApDZBg0SSI1kWkIXJWm4harva2zVaFQqoAIFPcbzXxPmwoCoFPZAsCrJ5+//N0fnr/+1RvffLv4pz8u//Eflv7y59f/+IcL179b+P7aSx8tZ3c9MCFyeY6tkFydEGooMYeRo06rXaFWwwqlUqlWq1944YV/+Zd/kZP5np6ejo4OCAC9Vve7b759+MGH5KRB3aKBFLAGKNUAVkEwAACCgUoNdbaq9e2taiXQdqlaVaBdAdoA6Fa3KgGsAEqggCQADjqZAqqbNiDTKFY0oZW/RnpZgS+n9XUUnULQKb2xoTNUtbqaTl83oFMILsfay4zGut7Q0BmmtYYZrW66R1vXG6a6dTNdPXWjviCQOb81H3Nn1xkrNL/ufzqn1+reUU82eofdjnL8xLH424sH/06k/y8XQY/8Z+aiLrl6L7P2jpj/KaTfGD5HKvBXBPzr/7NSAVcy6IoHXcmgQy4eDHtt+5z8bvca6UeCribp18zpo95k2COTPh7z5mL+CaelSfrJoH0i4kwHnT9O+ukt0eZd+dmpzaGp20hfsdxCelHkN/TpaZq+xctOq9V6PB6v19vM6Zuk335jc07BJpQlXlbk1Zz2E/2xEzv6G1uja6Tv909tCc5sC9/+/mTS12KBUsiTDbniEedYzDkcsB128nsdzIjAZDyOZP+N6v26kEmfigXiYe+Y33kw6BxwCYd80h6JGPQ4dtisnQCo21qBAsYM+ovPP3f1wvmLC2e/WDrzwt4Hh83s188+94fzK1dWzn6wfPajxTOfnTv7zcqKvLz22urq5wuLX5xduHLm7Pfvf/DLmWkFAB3qNqCCfJr2ozbLcaslR5jLrDAlsg2RynLmgt1y5sjg7594+uWh4QphSRFUHsUqDJWkTEmSefKeny0kxxMua9EpFSWuQJF5kigKTEmiK7R5jiZ+RbAZu91uNrQAoFCBNgDu8vtFge6AIVWb2gY0k6SlbrdUSKxmYbMsUzKZZyRrkeHf+/VTM7sf/sXd96fCoeVn5r5aXvpiafWbc+evnX79d2+effnowOmBgVfjY7986KHFh/e+OnDohZ17TmVTX55++fMPL317+fK3by+tTtXSkV5dp0YNAKxReGBVmhErHF82M1Xa9vHx45efeiK1edOfzr7+5Qu/fHbr5mmcrLPsGElcmpv+p/MXPl1euHph6dvLl37/zpvXT73+zP5DV5574f03Tn28uPT90qXrx59+ac/+p++693Q+98nyua9Wz//hjdMv3ftAr6ZD36KWlV8/6+g6jBuSJiRhRpOYMYkiCcSYvEVhZ5gwowkzlsLQOGqcNKNJ2pyizQkzlkCMd4xx0hRnyDhLyXK8UsSbi3g25CKZiLu5NCPhdxeD7lzYmQraZsOh4ZDf2tLeoVargVLdoujXG2Z5dx1lCzg1I1pmJTFvIqZF2xRnabBSkRcnaCrD0HOidZqnZkWmzlFzNsusVSpRRIkisjh6kqXTjHnaTFU4NkeQFd4e4Ui1ArS0tAAlgNUq0Ao6AIj1dCU8zhrDTNFklkAzPFl1Wys2ocjSDYGvMVweI0skXaHZKYtU4dgiTRUoskhTJY6ps0yZNpdtdJbFajQxQ1LTFDNPSftQWgMApFEAJfADxSTvkHTtGgWsRrsBACcrM+9/9c3C1WsXPvjkzbc/+OzSpc8/+fDqp5+9+eqZv7zzyS/3Hd6vQ04QYtXGJRBjmaRnJaliMo/YJb9SA254z2/atOny5csIgsAw7Ha7vV6vAoDMZOJ//unPA3v3QQpYoYJVEGiFgBK0GNt0UrcxoNXdh2IPtLaPI6YqIUx3YxU9PtptvF+hCStVUkuLGgCgBkAFWwEYstIFVFdDDFM4XsKQMvaD1fs1UzscreBo07R+yog0DEZ54q5iMNQQpIGZ5Cia0NI62Ne1ermSP2VEZnX6ue7uendnraICAQAAIABJREFUEdGVLEwx5MyEXE1HJfkb/0d4sOGp9fLPDTn9zcL+bTtw7giY239Rc6PLf/tYc7WOenNR1wZN3I9X5n9KxP2OW0gfvkNisP5ElQ46ZczHg65EwC6fOYa9tv0Ofo9bkEk/GnQlo/5UzNfM6WXSJ6PeiZgn0evL9wYmXdZxjnncwx1xcYnAHUg/uzWyUZG3NSYXyOV/p26Qfn77nUkvK/JEkZe190F/IBQKhSJhhmFu9umbpJen7IJBv9vtvJnT8+ywxzEt3EL6it063xeZ39ZX3xKRq/cy5ud2ROe2RWblQbt1pG/0B6tRfznoXkd612GnuNfBjIps1mtP9geSYY+cyt9O+kTEN+Z1HAw7DrrE/V7hcYkadLtEo1EJYKUSblGqBh999NrZN66+ce6rxUvfnnq9GvM8Pzj07enTn589fWXpnLys/vOFRTk+XVj46sKFby5eunpu8dPTZ757660Pzp65b9tmJYCBUm1Wt0cw/XHBWhXFspk5SQoVBG3w9BTNjOjRuIE4IrLTDJtlmRM2a4WnkhzxZGzTR7nCB6XClMdRJvAahv+c4k6wQpllihJb5IgSiRYY5oCJ0qpUsg4ZbVXvi0VcDNYCAIAhk6J1H2+rOe1zHJWj8TonTJFsxSJN89YTux7+f9969/9YuvTn5YvX3zj76cLZaysXvzy3ujo3f+Khe5ICedLnmfOGk7Q5S7Nphh8zk+Mc89yjDy8kksuJ3EujR473bYoTHIP2aFUaAAOvQp2k+JrA51HTr7Zs/eenfpGwO365a+f/vbpyabb+KKHNsdSsJNUlx1Ojw98tLF07t/jN0uqrjeq5qcalmflnh0a/O3/x0/PnP1pa+mxh5a1CY8hmH9Ahl+bm//69D9//7anvVpf/8PxzE1u2obpuAEPtEHhYi4xT5hxpSpF43mzKmfCcCc9iphxuzpnwHIZlUTRJ4BkTnsWxBIbEGXPazmedYtrKTdKm22OCwhMim3Va8n6n7Mkhfxuu79PLX7jJiCsZcSWirkTv2kd3ImpPOcQjVv7+TkObArSBVtCi1AJw2GI/7o3WDHRBZKcYc1FgShRRYegKx5cppk5SdZLKokiJp+uiUKDIKsNNCVKFZmsc2xD4vNlUtnN10lyy8Cmn+2Gc7VEqNTBQw5AGgvRAAZRQJwCkSrVbss5YvXWSnLGIWY5Ks2Seo3MEWSLpCsXUBEuGIEocUxHZMk0Wzaaf22xlFKuLQtporEt8nDBOWcUTrFDEiRTH3aczOjTtAII7WjTtreDR9q4CKdl1LThQyWN0YZf3ww8/PvPWpcvvvvPO2XOv1OqvlutnZ45//uHlb069+puf/WzUQdZtZALXVu3ilMVaErk8Rx3j6a1QG4AhWW9vMBgikQjLss0NOQoY9MeiA4/v6erqAjBoUyu6ADBDsF+n38pSD0n0sEPKu21pgU5Z2Jmtkad3P/aLvbueGNj9xKGBJ4eHfuZyt8jr9xVgh6otyRFlpKdiRuooXkF+LJVfT/oKjtaQNdLLm3YqiPGW/j2Kl+WXYWgNQapGY8VgqBqNNQSpo2gDMUwbdVParkpPZ5kylTy2dNhVkHcq39qAv8mh29axre/Nyxta1va03Kogk1VjSb9dvtuE/V8lX2bdXNktRPw3crj5T1ba3xayC9EG0v+t2fyPnAxukj7s+ImkT4Tc8aAr7rc1ST9g5wbc4iGfddh3k/TJqFfu068nfbLPX+gLxt22cY7Z7WaHbiV9IeSWFXm3QL0/OL05OLutd03ldoP09S2hxtbQ3LZIdV2ffo30NqGZ0zdJ38zpbyG9Xq/3er3BYNDv995O+iHvGukrFiHHUnmOLtsss7HQ7JZYbXN4ZmtkfktEJv3s9sjs9nWY7w/KCvwNpB+RSe+w7HVwYxKX8zmS/b5k2JOIrC0Ykgv4MuyTUX887B332Q9EbIfcwh43t9/BD/v9nQoYACVoVQIATkyVv77yzhcXLl5/ZeU3uw4VBeadF1/43TtvfbG8/OXqxc/PLF5dWv18ceWTpeWrS8ufLix8urBw/fyFz06fuXZu8f1XX/v799+dLedQrRGoOtVAibRCZYwp8Ny0iWuw1kkLW5TYkxRXEK3HOVfJKjVM+DxrLdNUnTTXGPoXO7ad7N9ck6QkiRR5rCSROc5c5ug6y1YIssoyVYkb9dg3tXYBAHe2dAMYbMHMmdimLQ6uCwCggNUA/IwX4zQ9TeA1C1slmRzDVWg2SRLjscDnv/7Nm+fOXD17/v3Ll7959/JX7773j1evvZHKptp7fs7SJZZqsNIJhpsksBrDTVstcyxXNJtLWnycYPKoadbMlglRMGl7AIAg4GxpOSCwZSubI7GS15pBkJKZydqcp3cPvNeYmqSoeVqYQciU1rz0/NNfLK5cPbP8D6tvnyrkVgqV/Na73372+X+68tlXly5/9dY7Vz/64A/vvffa8elT8cn3X3j+w7PLX6++f2V55a2fn3zi2IhW1wmUijYYPKpDJyhz2miYRPUJM5YwY3ETnsCwJI4ncTyJo0kcTaPGLGLMGQwJ1JAUyFzQVoy5S1FXzm/L+W1Zn7UZGa8l47XUo/5i0J3025MRV2aTLxV1J4MOeble8ytsjfFR12TUNbnJNRl2xEOO+LbAqJ0ZFpkM78D1Gg1QgjZVqxpouxWHLJY50jLCYsc5c9FiLlJoTWSyApWjzfOC0ODppGBOMUyW5SqSvUgJNdZS56QMaq5zwpzFNs1QDbOx5rDcayIMqhYAQwoFBBTAY8RCKi1QAoVSrYYhSqkaYKQiTdVFoUgSNYqd46QaxZY4Li/yWZKsc0KdZqYp+rjI1xg6S5lKNr5CsCcle43hCjwza7HlDaaqy7eTo0AngCAAVGojgG09rSmjudhtCmE9RmUHgABog5DOruzh4d9f+/L9xcU/LZ4/cf+mw20tYyj2+YcLqycaz7qi4xw3R4o12pRjySlBynN0zSGVrNaBVgQzofI+HBiGmyvu5bsKFQxBspURABBoBcBtMD5mdT7L0HMUViMMU6i+0a2rEGQ2Evjs3Itff/LRx5cv/f3XX/7hy2u/mJ7lcApASqBSAQgc1uJViqzquyoUUtMjUwZsFjf9raSvIPoqaqjgxgpubKb7dRRdgzqG1dG17n7RhJYJvIwhJVRfN+mnEG21p6OCGwsuSzLmLsZ8TdI3Obr+xh1hL9M9GXTIe1riftvtsnB5+msD6X88lV9fCfh3Jf1/Hd7nbpTus5E1Y4tUwJUMeDbk8U05/XpdXvPuetKvfzDudyR8ribp123e9W4Yc7gj6RM+R9zvGPJYm6QfkrX3Ed+PkL64KZTw2MdYerebHXSycb9tPOxIBRy5mLcYvDPpp/oDc9v7ZrdF5Rn6Hyf9rHCT9M0pu4DPHwgE/MEARVG3kN5gMPj9/mAw6PN5wuGg2+2UJIm3Cg6e3c6zQ15HQ+CLdrEm8AWGygtM0Sk2op7Z/uD05uDclsCJ7eETscDT2/uevXfrz3f0TvcFZvtDx7dG5zaHZzZH54P+atib7/WVAq681z4WcQz3OY94xAEXt8/NHfCJma3h7KagXABZu2QRTzO5T0R88bD3SMA+6LMMeqU9dnqPzxqm8U4FpFRArUAT83mWnn/6nadOni0VPz396uJTT7739K++XFj6cmHp2sLStYWlLxZvboD5dGHh6srKpwsLny8tfXn+/GeLi1fOnftscfGrty5G3U4AQ4rWViUAUcRY9HkrJDEj2UsENcWxdZ4tclRBZHMcW5IsBYYpsmyeYzM0lSTMGYIosmxNEGcZdkoU0jRTFm1V2lplpIbTM0yYLAZTF1Br1O1ApTB1tw6H/EmfNxP229pbNQCogALAICN4ixZLnTBVGKIo2HMkN02L0ybhxfse+cvy4j+8/sqFePz4PTuee+j+Fx+4d9rjKNvEhMhWgoFaOJKlTHNWewGnagxXFdiKla3Z+aLAFASySlIl2mJQAZUaAhCgAXjI68zQxLTbUmJNFYZo8GKOlw4SppVS+q18rvHAz6Ye3/XLkdE/nL/w/hunP1la/nrl4v/17jt/furvngj0XTt5onT35uceffDv7rn7yZ/teGn3w//j7On/890P/3h29Z8Wlv+0eHr2rk3zLvt9nUa4Qykbpt2nUh+hjXECTaJY1ohkcSxhxuJGQ1pvKCGmPGpKGdEJDB3FkKM4MsoSKZelFPHKXna3f8c19+vJ5vTFsKcY9pQi3mLYlwm402GPfGSciHnGou6RmHsk5j7W6z4acY7E3CMx52iv62jIetjLH/FK+x2sVgF3wUolgAFQ9rR1bBX4uMdTs1nLJFFliDpH1FhzjSfqPF3n6TJHJxkszeB5xlRiiRpH1TmqypJl2ly1EEWaGuKF+410j1KtAUCtgrohcHcbPCqy4zjtUCj0EABq0KpS66DWn5HsuMNbtdhKNFYWTRU7U+LpKskUGbIqsHWJrwpsiadLPFkWqLJANSiqQpurLFlkyDRNDQuWzQSpU6uBRg0gAKtARKOYbNcWu7Tpzo7diIaEQAsAsFIBQ+q2ls7Bg4c+WFn+x3fee+83r8wPHDl54ND1V1/KxyJJzDxN8yWSnhPoMoacEPkCgpRpqigKaas0IXI7tZ3b2jR2BcAA6IFANwS0MEBgSAvBBqXSAAFBBbZrOw6b0JzANGxiGjE1fKHzP597cnBw+oFHj+8//PGvnvv6g8sfXVj8+qN3fjM3P/Tw7hZFK1AolWpFDwCxVjBK4DMkNWVEama0YDbmjfoZzPwjMvv1T2148KdEHcfqOFbDjPK5YQpBaxhaJPGcmy9scuV7Pdk+T95rLfgciahrMmjPB123+ClEPdmoTzZeSoc9f2thedJnlx9Phf42uK7X6K1lvesw/x/Wv98gW8v98Djihje2/liTi3hkx79McM3EsqmcXdt+EfHICX3CZ9tAd/nyyqvrJtdp79e/bN2Vt9+xmrLh8NTcf3D7+0+HPXL1ftJnTwVckwHnIRc/4OH3uYQDHmnYZx8Pe5JRfyriTUZvRqLXNxn1jIddqZhPRtuAh9/n5va7+WG/dTLsSIddubC7EHKn+7y5zYHK9ujMjr65zdGZ3tDMpvDstt7ZiPfn22LyHHt9S2h6S3hmS/jEtth8zF+W+ILAF0mi5pCKAjMjWo7aRIfEWyROsoqiRfJ6vT6P1+/3e/0+eQ3Gj5FeFEWZ9Ns4ZsjrqPOcTPo8TeY5uuQQZ2K+k9uix7eEZ/r8UxFPOeiohl2NmHeq1zfbHzy+o3d+R299U2De551xODJB58hmz2TUlfTbJ4P2RNh52C00SZ/eEpIvx/qL1azhy6QfDLiG/PYhn2Wfk9/rtwdJtAOW1/4odz50///z3fXc1i1vpNLfrS5fu7h6dWmxyXg5mqS/urJydWXlyrlzcrf+4zNnrpw799WFC59evHjuhV9TehQAGFYq8PaWWGfHGC+keT7PsUWaKtPmMkc2LEJdFAqEuc6yVZou01SFoes8N8XzDYatUXSJoUsWLieSFZGus0ydEfOc9bEOrQYAeWdZGwAP2a3ZrX2poDcb9t4nCSoYdKvbgQLub+k5yrPzFFMyYyds1iJjrgp0gSXHODK/KZTxOUscM24ypUym8Z7uEkUWeGbK4/qXZ3751shEljRPCdYqIRQRooDhZdpcZMgCRVY4tsRKe3uwDgjASgWAgBGAfis/RbI1miqQyLTIzvFCjRaSJHNi86bvX3v5i9d+++ErL361cPaz06c/X125urLy6Wunpx66L84Ix53+mUDgGI4UUWyGoI/19DQYfn7T5l+Pjr6QSb1ezGZ7Q6MY8oRk7WvRAg2sAEANwCEdMkaheYbIIFgBQRMG/QiiG8UME5hxHEUmcGySJuIslbGJRa+jFPKUIt78jY960wY0s+7zmQ678r2+bNidCjiSPlvKb08FHOmwJxXxypifjN6C+WO97tFez/gm30jMeTRiP+wX97v5/W7xMZEI8gRj1Ha0qAAEIABQhXJrt/EwxmUJusKJdU4oUWTRbK7T3DQnzrKWOss3OGGGl2YFy7Qg1TmhSDM5gpzHuBrv3KozdgMAWlRKBdQBgKOlo6I3F1A6qSfuRYy+zk6VCqggoFQqKaDa3o0NGqgsQjZIdorlGgw/x1nLFFNluBrLV2i2wtBVlqmyTImh0xRZt1iqDFekhLTguEePGQCsUCk1AOgAsLW3PqLXTxqMGZ0uoe06inRt69QSMKQEoFWhUQMYhpWIGe3bGnvu+PEPXj713elzq/WphMOTNQtPuSNz3nDaYq25vUkzXeWsNVas0HxDsk1Z7DOCI89aRhhxP2vZzVseEyw7Bcsu0bqTFQ/aXQOcOCJYC6JjinM8ZQ3MEtKoJL1Vq/3jx+9eX1n84vTZa6urH7zycvzYwcFD+yxWTqkASlmq16puASDY2TVCmTImvGo0NnS6OmqskVjVfEsBfz3R/01JjzZJX0fRMoEXrVzJbyv67emYKx2wFf3OZGSN9HLffY0QYVcm4k2F3D9lvuuHCstrW1zCf8P0nfxxSAUcmZBrrZP9vwPpf+TP2aA0zN2wHrid9Buu53rSr7/a8inq1rG6O9D9dk3lj1y9lJzQB11xv6NJ+n1u7odIL+vyUjHfZNQTD7ubpN/v5vc6mP0O9ohXGgnZ4hFnIuxMBh35iKcY81V7A7P9keObYye29M5t7Z3b3vfUjr6n7+5/cnvvXF9gNhaY2RSc2RKe2x47Hr1J+qpdLIh3Jr3f65NzepIk/5U5fZ4mswxZsvAzfueJWGAu6qt77SWHWHKIBQtbEtmGTZxz208EPLMBV8VlLXFcleHSXtvoFm+8z5MKOeMhRyrgOOTiZdLv9wrJ/kC615+K+TbAvinCj4e9wyHPkN8+6LPtc/KP+51OVNcKAXlrdz2b+ef33301Hv/+1OtfLS989dbFa6vLd1zpKu9yv7a6Kufx11ZXP19aktP6t8+d/fryO8ce2tWl0AAFBGDQDUDMiOcsjgIn1WnuSdE6YyZreuQJkp3HiLLAFDmqwJIlnq5Z+LrE1zimTBJlkm5Q1HHSfAJDpk2mhMhvpYh2NVApYQCDLrXiXparbN406bNOBGylWHCiv9fQ3Sq7jxkB9JDAnBBtVcpcZYgsYSwz6DTPVBi6KEo5jp8WpCrNVknqCbujTJOzHufi3scvDQ3FCbpCszXB0rA7S5JYtvJliSsxdIMT6oJ9XLKH2rRKAAGgBCpVBwzpW5QNUqyzfMaMNASmSlLTNF9n+bTZ/Ea5+A+Xz19fPvfnt966fur1L0699udLb745NTspcCWGrzFc2owXSfNJiq2biYKNT5GmFEGlSb5ICVMUVzMRFYt0mCUEqAWo4RYAMAWYxOm4CckSeMZgzCFoyoSlRLrot5fCrpzPkfU7cmF3Jeav9QXLfYFs2C1vr8zFvKX+YDrgyIZchahXtrLNhd25gDPrd+T9zqzfkQs4cxFPLuZNxtwTEfdEzDMedY9F3TLmZcbLMdLnGenzHI25Rvo8B4PW3U5ut1N41MI+FrDdJTIefQ+qgDUAaBRwq0qtAhDbogiYjPc4hIfctse8tj0+x+Mux6MW8TGrtNNm2Wm3PuawPuiQ7rZyW0WqlzWJJoNSAQAMgEbRBiBG3bqtS39/t/E+k+FuvOdRo3aAwPd06Ta1dPAqjQoAoIKBEm5XQEJH23aafNQi7rIIex3WfVZpn1Xaa+H3Wvh9VmHAJu6zCnsl7qDP0Yf0OPUdAqpt08AwBNphVTsA3tau/h79Hr3pkBE7pOse7uoY6enM9GiHjeY+o06lAgAGGo1GpdIAeUmTBnR1tupb1FxXp89o8HR2ZPbuWj394sXfvvTy3NzeSHSP27PXZtsjCfss/D4Lt9dt3e2y7nI5d7vce9yeAafnkMN92O4ecNkf5OlH7ZY9Ad89PJt68IEzJ09Ujg5us4k7e6OPPXjPvl2P7Nn5SLe2o7NNBWDQDiA1DEEKoNLAShXoBKCvtSNuIOtmoqDTNhDDvAmvG/U1xFAnTIUf2Hj/b0t6+YY8pNcwmSsUWeLpisAloo7JmKMQcOXC7kTYKUOoCZ5k0CH7Jv8I5n8kmnXmZNAlt/P/qgj/dtL/R6L93ykytxrHNf+cpk/VjSb9mpXc+mPT7SWTO2Xz8nHqDsrHO05P3HEjYXZdTt8k/UEnt9fF/gjpZdgnImukT20KxGPeQ25hv4OVST8adUz2uuWduI2Qr+p3l73Ous89Ew3O90dn+yP13uBcf3A24p0NuGa8zim3fTrkme0PzWyNzIY8ZYkv8FyBMJetfJP0dpFrkt7n8/m9PlmRJwgCDMN/hfSCTXQK3HaeHfY5b6ne02SOpUoWvua01pzWil0qWYV0wJp08Wkbm7OwGZHOWJiUg4u7uLjEFig6bxXTAUfea0+5LMf8lmNh22G3sN/N73Nze13sRMzTPAqtw7wMfn887I2HvSNh75DffsRr3esUd/ldoq5LDQAEK1nE9MqTT/7+0oVvFs5+tbzw8dLZ91577dvllStLi1eWFj9dXvp0+RbMf7a4+MXysly9v7a6Kj/4ydmz1y5feu+117598+1jex7v6mwFMGhtbW0BcBDAR1hpkrdM0nzJ6ci7bWmnlPfaS5JYtkhli1SSxKLAFwW+Igg1QZwT7UWaK9ssGbt1F4F7Wls6AIAg0AoBXZvGR6CTveGMz572ScVNvlTAke/v22GXjLASKGClAmJ7Wo+SdFXks2aiLDAVnqmSVNXElAmxzFhLrFTjmJwJqzBUSWTTLJnimTEcr1mdc6JUMpElE1kzESd5bpomKxRVpLljJB/s0bVDsELZAoASKBQqlUINgcdRU8Epz/VRWbOpKoplns0R5uy2Le8+8/Prp3777vG5k7t2nti7c/aR+5+4794ppyNFEnmreHxrtGThShhWl/iEjWk4rAXCXCbJKY6dNxPTqKnqcd/Lm7uAArQoewDoQ9FJjEjhSBzRZ1G0QJEFict7remwIxF1JGPudJ832+dLBh2JsFO2oI2HHMngzchE3IWYr9TrzwddGZclbRUyEp/kmYTI5jy2cl+gtDWc7POORVyjEVcT8MM3Qmb8sV73UMQxFHONbQkcDDsettIP29idLssuu/CYR3owaI/YWUOPRgGAEsAdcFsHAFpYpVOouwHoBkAHAAJgFEAYUOBAiUJKBFYaIEU3BLUD0ApAK4BgGG4FinaVyq/peoRiRxh+AEcf7up+GNU9iHXuIQ37Ef0ewtyPIuZWVTuA1hznINAOq/RAgQKIglQGGDZCsAFABgAZIRiBAAIBIwAIAJSqpQdSAgCARgFUoFMBu3oMu1FiN24+0mXY1d7xaKfmSFf7MWNPuUc/0qO/S9vJdCm71ZAGAAUEKyBYAyC5dNGqUKkB6IDXhjyBBigBrAGKdqDQwipU09IFQAcABhXQgbXQ3wgjWHtLmArqBgBXqMyqtde3QUoNAJ0KpRIAFQQr1SoAAwBAR4sGAjCAgFoDqQHAWpU+o/ZBXU8awaa02mJ3Z81snGfNDYO+ptNO4XjRhP90cv/roo6iVRNWNWE1DJ1C8BnM3MBMJQStmYh4xD6+2S13hVJRdz66VmFa67gH7KmQ+19N+ubPJoOuRMAuZ5x/qzTvv4EOf/1Mwfoxh/WOlDfM6Fx3jB85S8lXOHVjwcYGQcMPjS9uODytnfAi3mb1Pul3Tvgdh5ziPpcw4BYPeKSjfsdExLuhei+zTL6RivmSff7JqOeAR9jv5g+5hSG/dTzsiEec8pdbPegtu+wFSciLfNFhrfhcJY8jb5PKTots5VW2iUW7WPPYZ8Le6ZCn5rGVeTbPsUWSKFm4osRO30p6yWrx+XwBnz8cDoejEbvdviam+Smkb+b0ssONbHKT5agsT2cltuiUKj5HqteVDjtyAXvBZ8s4hISTS/kt6Yg95bdXBKHMchmRyzD0BEcNuvkjIcuw33rIJw14+D1OZjTsnAy5ZLo3kb++YR8Pe8ei3uGA44jXvtshPuZ30Z3tSgAAgAmd/u/Ktc9fe/Wd3zz35eUL7545fXVl5ZuVlU+WFj+5QXoZ9uvN2eRu/RfLy3Jyf+XcudNPzD9VSP+imntupl6dHPNKokK22W6HVEpgMWp3sMz9BLHLTBwmmBGCHya5Y7RwjBaGSW7IxAzjzAjBT9LSPop4hKP7ec7Y2Q4gAKmUQAXBGsjS3b5D4HbarQe8lkEPU4o6SlHXRMCWiwTGQkFbZweAgUKh0ChBQNt9iCTnaWFeECoMUWDNFY5vkPxxSpon+QrPVAU2b8YbNjHP0VmGLlNMhWDnBW5a4Ms0WSTxMoOncEPFaslZHIHW9k4FBFQQAHCnUtWuVgAIqCCYUasGWG7O6pwlmQpDFyQuz9E1mqqauBOuwK+33FXEmDrB5XCyRFB1xJQgyLm+2NWn5j97ajptFeo0N82wOYooMFSFY0sWLiUSWc5cd1r3C5wOAgpICZSABvA+qzSB4hkMmcAMGRM+TmJJicn5bZmIczLmmIy6ElFXJuLO9HplVd3aEqvmntHmgHLQOWnjRyjTOIYmMGwcQ0dM6IRAZ3z2dMwzHnaMhp3jMc96xsshg/9ozHU05hqKuUb6fQfDjscc3CN27kEL+6DPfr9TeNgh7nJb77cJPgJFutoBDFqAWgmUCqBUwhqlUq1QqOTNExCslI1hIEgBw0oYVspnJwUAHe0atqU9qNMPI8yQER9qaRvUdz5i1O/EDA/oNPuRzkFUO4Zih/XYfr3Z09lBtWva1bLRHAyAEkAKhVINFHIogUIJYAWAFBCshGAl0MBAASkUKhhAGgDoNs1dCDKA4gcN6G7UsL+r69FOze7ulvGe7hFDT7K940hPx87Oll1a3YPdBgesbgMAUgOFCrTI1nYwAEoVADAAyvaOHgCUrZ1dAIJVrW0AgoFSBVQqoFIBpRJSwHIA2QZRAYAKADUAMAz9KThIAAAgAElEQVRgGFZrYAApAVADGJYPESoAINmyHgJKANrUQAHUKgUCqcWO7mhXzyNdhv1a7CCCDem1Sb1uBtFXcH2e0BdMugZimDEapxC0gv27k76GIFUTVjFhFRydQvAZxNQwYiWdoY6ZN5C+EPPJi3SSfnvca22S/m9lfNP/dB2o7Em//adP0N0xGf3fNG6fX2hqG5v7r9YmF0JuuYhye2xU290omcjPpsMeuRHwQ7/rR66n/FP5qDcb9SVC7smAc8JrS/gcE37XIac44BYH3OJBr0UmfSoWuJnT9/pkfqWjvuaE/VjEtc/N7XNzhz3isN865rOMu8S4XUjahYzHlrYKKZ5J8UzOKuad1pxVzHBMzSblLFzGJeYC9lzAXvLZGy5bVeQLNr7AUHmOLdNUycKVrfy0aBmyi/YbDjcbSO/1elUq1U/q08ukr/Nc3spXOFbekVcQ2ZzApQQ2ZRNyPkc56kvHPOmgsxByF0POot+eD9hzYWcm7Mh4bBWOL/BcwiEmbPyElTvmFcf91pGQYzBoO+AT97rYsYgrHnavkT7qukXaEJEF+Z7JXu9I0DXos+12iDsDXqqjTQEAgOBQ2Pfi9PQBX+BcY+rTs+e+eeudj86d/eDc6Su3Yr6Z1n+2uPjVhQtNxn95/vzHZ8688eSTv62XX5yv/6JeOJFPPF+r/apUfXj7dp22W6lUKgHogpVaALoBIDRqVqmmAKABTAGIBBAFYBpSsJBSgFQCpBIBMALQDeBW0KIGrW2Q2qhSu3Fkj89xxOUcdLt2ubjDQWHERcU9QqrXlYv4iqHAwza+RwO3AgAB0KUCvq6OSYdQcAglK5EWsbyNKgtUhadyNFqmqRJBTLFcnWbqLFslqWmKm8KoDGKs82yNoac4doqjsww5arPejaI6GIYgAFqUqKalT2J9BKoAAAaqVggEWjsbkmfexM4yXJllGgI3ZTbVWb5skSYJU12UsmYizZINl7XO0yc5y7OxTSvHhuqbIllRrNHCFMVVaTZDEzWObVD0PMNWTOZJhg10dytVAIaVagACKs2wKEya8CyKxkk8iaNDmG6MwrJ2oRrzljcHcpv82ainGPPJwpxy1NeIBRoRf8nnzDotaauQdEppry0bchVC7rTbOsFR4yZsEscmcGyMwMdFOu61xiPO0bB9JOyc6PVuSOjXSvcx99GYa6zfN9zrHow6j0Rcg72+gyH3QxK9hxMet4o7XeL9Tu5Br/hwwLrFRlmRDrq9UwerWgCQ18dCa4bvAFIACAIQBGAIqABoAaADwD2Q0qrWhHW6Rwlqtwnf36MdJNEhDn8Abd1p1B1GjQM9bSM9nYeQnoNG7W4TMkCTj1u5e8xGX2srD8E4UHQrVGqVAqigDqCUowvAXQDuBFAngLqBQguADgACQL6Wrh1GdDdhPmxCjxi6h/T6w7jhCGY4hPSMGLQZnW6iu+tYa8uhnraDXW1DHd2HO3p2GZE+pMej6/C2tcbUnTQApKbVpG5BIHUXgLoAQIFCA4AGgFYA2gHUBkAXUBihti4AtwDQBqA2ALUB0AFAF4B6AOgGANF0tQG4E1LpYJUeQLhChamVdE9nuF0XaOvZ0maItemCrT1BuH2LDn3QQN6jRfdaLA8YtEdw/IjRcMCgS9GmtLa7hhgqJJYzG9JITwNDZjG8YfzB0r1ctL+93b6+kf9XY63sjyA1WcOP4XUUn0ZNddxURrESRSbC9kSfqxByZ8PuRNTV5IRM+uZm1h+f9dqQd96+gH096f/WVPi/Aew36AyaKf560q+VMcKeTMTblEBmIl55l2066E4H3bcX82XSZyLeTMS7XvO4voTwV3l/c7Qh6kmEnRtIv98jyaQ/FnBORn2pWCAd9TVJn4h4UhFvOuqT8T8R84yGnfvc3ICHP+y3HPPbRjziiI0dFekJgR5z8HGJTYtczmHJ+525gDPvthVsUtXtKHjsmZAr0edK9bpyflvRwhcIc1ag8jSZ59gKQxcltmITNpBetEh+vz/g84dCoUAoGAgE/kpOfzvpCzahwrF5gSmIbF7ksxKftPJxpzgRsE1EnEcjzqNB+7GQYyRkOxa0HgvbRiL2oYA0YeVyFJUWuYmQfTLsmAzaJ0L2lN9+LGgfDNoO+qV9bm486r6J9qgrGXNv6HmkYr7JXu9o2Dnos+1yijtDHqKzTQ1DAIa23dV/9dziYrn2zemz316+/MXqhfdfO33t4urtTfpmNv/VhQtXV1Y+PnPms8XFby9fvnLu3G9nZx8PB/+uVHymXHqmXHquPvVMqXLq6acHdz7mdrvlJaCwWgUUAMg+nwAobwAAQABWAIUSyGkPaAGgFQbtKqCBQIvCrO3eztBHA4EBlzBg5Q87rHut3F4rNeRiCn3eTMSZjXoKff7U9sg2jsTVLRoAKwHoUipCne0HjOgsK87Q7DTDzhD0SV6Yk/gMTU1bbVWGKxJUQ7JkCFNV5PMkkRf5iiDUTeyTpPgkZS3w9h1molMBt6pgJQDtasX9HDd596YBv6NHA7e3dKsULRiAHzdRWVaoUEydZqY4tkYTM6KYZoiG0zFrsVVotigKGZqoUNRJgi1h+GiPtsQKVV4qMWyBYWo26QleapBsneDKGFWzux7ATUxbhxrAbZDSBMOPaA3jpGkSRzIG44QZjaPGhBlLYEgSR1MMkXLwSb89E3Llwu6i15G1SymBTdJkkiQShDlFkRmGThLmJE2mrUIh4CpFvDmfI+u0ZGxi2iqkHGLSZ0vG3JObPCMx57Goa7TXs16F18T8SMx9NOoZ7fMfjbmGo85jve7x/uB4f3i/x7pvs+/hoOUBD7/LxQ1Y2f1W9rDHcjjsfNDG3yUymzmqT6CiIh0RqKhI9VqYiERFJCpqoWMSvUmkt/D0Vp7ezjPjOD2GkUfMpsMmdCehG8B0Rym8IIgpnilIwqSdjXPEAI8eotADNmqAMw8IxACBHkLRASNyv07br+2KGrW9qLEfNfQZdX1GXS+qb0YfpvOYe/oo5D4C3Y+jYzh+VNc90NO6z9gxptcmEGPCjGVRtISgZRyvokjGqCsRRMKMTZiQOGpM0uQhRHdEr88YTWOYebcJ24b07ECRbWZTxIxGKLzfhIUww2aWDKL6GIFFMCSGIptNpl69oV9v3GQwxozGIGIIYsagGQ0SpoAZDxmRKI72mrGYVrtN2/0Ygj1mND5m0I9h5DGGHdai4yQ7ZMTTGDNoxEcNppzePNjRMWzsnkB64oi+RJFlI/I0QhR03RXcKOfWcte8hiDr++7rif5vS/oqilRuGOdUMLxCEhWeyduFXNSVCzsLIXcy5k5Eb9om3Wgb2xM/YQ/r7XNf61VjibXpL3uz7/7TSX+7dDz7r9LE/etig0rgr4oGfkh7f7sg7kat3rGe9JmQS6Z7M5q2tjLsN5Txmwl9NurLRn0bSH871O+ozlv/ntNhVzzkmAw4b1Tvb8npZdKne4PrSR8Pu1MRbybmT0d9MrlGws4BF3fQK8q2tmMh+6hXGnHyx2xs3CkmLFxG4vNeezbqSURdyaAjF3AmfbZk0DEWso+EbOMRW8pvTVnYNENkeFLO6assUxCZJukdEi+JrGgRmqQPBAJevy8QCCgUir9evXeJ/A6Ba/bpqzxXtPB5kU0LbFxgxi3siJMf9EoHveKoxzritox4rcc8liGncMwrjvotIx5x1CUkWGpCYob90kjINhKyjUUcyaBj2G897Lcc8In73NxEbK2xEQ+710gfczez+WTUm+71T8Rco2HnYb9tp0PYFfaSXe1qFQSU8PbeyP/6+JO/nL/01erK5YWzn1+4dH3x/LeLd8a8nNbL8/RNOd7VlZWP3njj5frULxKpXxfrzxbrJ4uVZ6ann6nVnq1WnqlOHX74MbS9WyHv41MqAAAtsLIdVrRBsAaCVBBQAqAEQAUBjQJWKlo6IJUBAEGp2kJgu7z2xwP2h538bqv5cRe/R+JG7fajNnGy113YEcoHHcmY+0iQP+CiDrts/YKF7UQ6oFYAAaCAUQBvN6A7JfFAwHfE6Ziw2BJWW0ISshapaLEUbFJCZMcs1ISdnbCzRd4yYrXs8Vp2OCm+B0Zk43tIDQDAWtq9ZtMRizTsFzKbQ04aB0AFIHWHQmntbht0WJI0PS1IeTNeFKmSyVwRhBLD1gmubmJnBFvZzJxkrFnOXLbyZZ6V5XtlmqpJQgI3Zkzmos2W4PicxXEfotcrAYABaGnvgdSBbu04yWbNpglElzMYR1F9CkPTKJJD0KzeEDca0hJT7gtUtoRzEU/eKiZpchxDJxEkheFp3JREsQSCFox40oCMm7CEhUsHHLKlfTnqq0R8+Ygn1euZ6HMf63UOxuxDMddIn6cpx5N5PxJzH4u6jkVdI72+YzHvcNQ5usk7EnMPhewjMe+xqGekzzW4yXlwi+dQv3cw5DwasA16pf1O+oiNPOxkD3vEg17Lfo91v8d6wG094LYOuIQDHumQz3rYbzvitQ66LYMOccguPu4RRl1S0m+f8nvSMU/e40z53HVvsBjz5J1Syed8QrKXWa5BsrVYIBt1pW2WCRRPdGoTPdpRo24I0Y8aDSmdMW5ExnX6Ea12TK+dMOpHjboRg3bEoM109kwYtMdw/VG8Z9LYU8KQaYKsEUQWR6dRU9VsnkVMM4ipTOAzKFZEjVMGc8lkrjBUyWCsIUjRhJYoU0LfXUUNkyb9EKKNI/jRLv04RR8yIiN69EgXOo7Tg3r8oAEdJojDGHbAqD+MGvcjxv2IcbdBt0uvf1xvOIiahlHqKEKNoOgwhu4zaA/i+iETcsTQPYRoj2L6CW3nIUP7uL5rUNuWwg1VIzpi6MnIuw5xfYVCZhB9Q6ermcwlwpw36qdwvGFEphF0GsXq6I0tN5hxPc7vCPX/36S/6YZXw/AyjpdYqmKXsn5boddTCbmKQXe8zzMZdZUiXnmec00jdmMrqtx0/yGx/Q+RfsJrm/TZN5D+J8rrbia+t3X3/yuTfoOHr/xI0zNebs9lIu5k0BH3224nfSbizUZ960nf9JxN+13rK/lyxX4t77+N9LcfOG6/euu3FDRt9CaD9huKPM9kwH3IKe5zSfv/P+be+zvu+7rzHhR2Yubby/Q+8+29zaCRklUsW7IqO0UARJveewFAWZblZJ14N9VxbIskQFF2lGw2sWOruSXnbHaf55z9fX/bP+T54TMAoeaSZJNH5x6d4WAIDIbzndfn3vu+7yslP5P0eUfOGULRlI6TfsMSrvHRG2L8ls5sZKSteWkrI6wbzKqarEhMMRktxcJFPrmupW/qyRUtuaUza0Z60+HXjPSKFN9SkyU1XeJixXSkEgs0IyGQ09diwSPS86n4J0ivqqooS5qmTRR5oPuI47iiKLquy7IIttamU4l4MpZKRhfi4U2B66ZTw3iym0jUUvFqMlZi4ptc7AYXviFF15VkTkxuquyGwgDS3xITa0r6tsrcFOPrbHSDi20JiW05ta6lb+vpTS29qaRWlBRQ5F0XYlumUJ83SpZcMMSCLZQy0pEoD2T5lXmlmFXXTfGKmHpZSFzRWHbujGdmxuWaTaWYu69/41ff/s4/Pdz/yQ/e/rv7+z/dv//ewVs/f3Dwq7cffPDW9392sP+T+2/9ZP/++w8OPry//8G9+2DoDrTtPzw4+Gj//kf79/9x/+1f3b334z//0z+503t9WPjzav4bjcLr1cIbjeaf9fvZQICYnjl59sxp1zThwx2SSBNYmsYYL8r4kLQPSQexVABN+hHJi1th74V05It8/Hk+/gqXuM6lVjjmOhe/JSZA56JscjVHLpvCtpxaT4Y2hOSKlL6cjr/EMc9KvBKkzrlA2WDq3PQJ/MTp4Oyp1MyMfvLkkvvsY6fPP3b6/MVTZy6eOvPYqTOPnz77hTPnnjh7/okz7syJc9zsGXrm5HnX7KzLdcI1de7ECZMinuFTlzXuBTb8Mht5mU+uZR3l3FnXqZmZmRnI5ZJm564FEy1O6iQi1QDaCfubAbod9HYjgXY0UA97qxFvPR7oRWKDWKIXT3Ti0XYs0oiFa5FAJeSrhwLjRGqYFK8GoglozgXE3lMnrJNTr/jwdS9Z9pKdkK9Kk2USL1FkxUvXfd48jm1SWIWJtW2lbstlna8JyXzUv0kSBYKskHSFpEteqhSg87Rvi6JzweDRtrpKRi5aQsVkixa37UgbGWUjo2za8rojrmS4tQX5VkZ41eFXHGEtKx2l9SuOsJoR17LSakZccYQVR7iVEVay4u15GdwJSv2btrhtiQVLqupSxZCKppQ3RVCOq1hyxZDAGb9g8mDyqqhzOVvKLWpFW63aSsNSG5YKKpN1S2pZcjur9DShn4y1CLKBwHUvUUtF6nKqEvJVg96Kj6pQRAXH6ijWRLE2ig9RvIegE/92YO8KI10E7cBYC8FaCNbC8DZOdHFygFNDgu7T3i5J9Ch84CX7NNH1Ul3a2yKoLkm1caJDkCOv/7Vw9I148s1k+s00sxeODPyBppeu+7wVL12hiDKBVHAEOBVWCKKM42DNYB4n8jhRJKltHN/CsG0cz+NEgSCLGFFA8SKKlDC0RGBgv3Cdpus03aB8RQot0VjdSzS9ZNdLDShqSExm1o8T+kg53yfJPk0BcVzX+0gM/2kB3Wfe/7sHDqJFol0S6+J4GyeatLeRiFTFZFFLNzMq+JQ/komVTaFqS8AC71AlOnFIzetCXjmMYzNgoB8/Qb7K51XmKAoKczThfbgr/Tdg/nin+bc31/tXxmeW1ss6f9xp57gzIGBqwxCbutjShJYqNTSprktVXaoZcsOQG8ajDblVa2IdWDG5uiU0bLFuCWWNy0upssmV5VRDSrcssbog5+Yl4Cj3eYeez1sYCK7BzzQX+oT90SfOScdf6pLGFTR2W2PyBndIevkGn77MM5eF+HU5sW5weUcsZ+XyYbJaNJVJQu9IRUsoZaRiVt6yxWtS8pqUvKWk1oz0ls1vO8K6wawoiZyS3hISG0J8TYqvKIlbamJVTW5q6RU5ekuO3hBCN4XQupIErf1tPpVPRgrxRCUabCbiowjfSUT2EuGbvMSl0sl4Ip1OJ5NJRZE0TVFVWVNllmUfkX5qagrHcZDTS5JgmrokCYD0TCK6EA9v8VwnlRzEEp14HLTn82x8W0xuKqltgy1aQsngN3RuXWM3DX7bErdMIWdLOVva0LmcDupd7LbBbpjsbZO5rac31NSrUuKqGLsixW6I8W1LrM8boLFxVL0Hk4jljArk2Tlbum0IV6XkZSF+VWVNGj/tcrmmT4RPuL943vdnz1//5+9+76ff/95H37v/TwcP/+HB939893vv37/74f17P39w8MH+/vsPDoAE76MHD0AqD+KD/f0P9u99sH/v7w7uffSDH/5k/+CX7/7gBzvj8mnfdcj/xovX/u6Nb+6srqoU6XOdmDp/Gp89u5RIrmTtlbS4ygprHL/Ks6s8uyZwawL3Ks+8IjBXFe6GIVxX0leE6A0htqVxFUetOGrNUWuOXLflmiNWLHFbY9ak+ItC+Cts4AU+cllIXefZ6zz/MsM+E4t53GdOnZyemnJNTU3NTs+cdLlOuVynXS7QQfh0TE86yZOmwgmXy+8+p4X9L0jcDVO5xCdfYWKX2PhVIb3qGM8zKXxqZm5qZnZ22jXlgqddX6T93aT4VV+iHQgMwpFRONL3Bfq+wDAQGgZCXdq3R4d3qdAOGRwTgV06fCcY3QtFR8HwMJXOh2JPYZT/7FnXtMs164JnXPzpszdjoVw8mqOpIorUKbJKkyWKLNLkFomVfXQ56CtE/AUmUlSYiiE0HKWhMOV0tBgNlYKBUsBfoKhNAt3AkU2a3vT5yol4WxXaptx0FOB9W7W4gs1tOdK6I687MiD9apY/KuBvZKSNjLRm8asmt2pyx+v5QJ13dAg4GsPbyEi5zERN07DUuq2Co3rOlgqWBKyyiracy8jbjrBt8QWTBx92eYvfsLmcLYDLe9tgN3Qmb/FlRyotKzWbb7Pxno8eQujYjQw8SB/GRx58DBE7MHkHoV5D6ddRL4gxToL1a0OcGBGPbg8P3d37GN5DMeDx3kVQ4PDaI4g+TXRJrEeRXdrboeg2STVxokOQQ5//TiT6tUTyGynm9xnu66n0nVh8FI50gsGW39fyebteauCljyA6ITHt7dLejtfb9NJNL93w0i2/rx3wt/2+ls/boqg2SbUoqumlWz5vy+dt+/xdn7/r87coon1oYDchN031aapNEW2KOLrzUSJ+2C9/RHpQw/+/oMLr01SfJgZecuAlBwG666WaOFHHiXrA32HTHUNq21LdkqrHGrpHpXLgf5dXmeND28dvf2Lo61P1/MnH4PHx7qME97fkbuVz1uj9+5D+uEy9bssNR2k4ylG7vWB+vMV+aG9V1kXQnnu0JBA409lC3REbttgweCDiLibDxXiwmYy0o6FuKNhOxhpSumaKTVPq6p98iT4h3f/0a/JpnH/mV49/w08cqiYWhzqX09lD0guA9FfE9KR6r7N5R6zMK5XMo2ExQPqSLeYtvpCRill525GuionrQuKGGF9REusGs2VyGzqzpiQ3ldSmmNgQ4hty8raevq2nb6upTSUFbq+qyTUttWmwm1p6XUpsiokCE8un4oVYoJGMD6J8KxUdJ8M3BIFLpROxOCC9qqq6rmqaYuhqJBJ5NE8/PT2NIMgnSJ9KxgHpl2LhLZ7rJZPDWKIbi9ci4Xw8nBOTJYNv2HI3o7Xn9WpWKWSkLZPbNNgtk9vSmZzJgSJ8KSOVHalkg5303JrFrhnp23oaeORdkWI3pUTOlhoLZtl+pFcEFfvaglFdUEsZqZwVt2x+TWeviokrQvyqlH4iFT3tcrlmT7hOuDg39Pu31j48uPuLv/7BP7/18L9/d/+9g3vvv/P2Tw/2f/aDd4Dj/RHaAe+PYX4fgP/v3/r+L/bf+eX3Hv78u/s//c53X3/yKyuW/d9+/z/9n4N3WxeehGdcJ12uWddU9MzcixyXN9UNid+UuS2F3VLYLTW9rTGgqlFWhYoBpBxC1eErNld1+FpGqGliVRXqutCwxUZmMgJedMQNk7/MhF5KBK6w0etc8iqbvCpyV3TxsVRcInHq5MkzrukZgNCpk66pk0DvDSTfk9uuqWnXlGtmdurESdfszMzMFHrutODHH2eiX5GSLybD1yXmpVjwBp++waevcczziehLXOrLgphE4FmXyzXtOn3qBDV9wjmLXA+kL4WCV8OhlVg8z3A1TmrwcouTO4JaFLgiz5ZYpszxRY7PsezNePTloG8Jc3OnT2KuqVOumZNTJ9Azp2QS+WLCf4UibhF4gaKqJFmlyZKP3KSwLRrPhbz5sK+SCFf5RElKH/XpW7ZQ17myzBS4RD4Vz8WjuUQ4Hw8XEpESE29pQtdWW9YkM2hoQs3miw6/lRHWHfG2La078kZGWpsXNm150xa3HGk7I29kpNv2I6gfMR4cBdYd8XipH/xx2xLzwC5D5XIanzOELVvcdqRtR8pl5HxW2XKUjXl5LSutOVzREZuO1DXFppLuq1xXTHfZZJdNdoR0V2a7ItPj07m4vxgk6xQ+wNA7CHYHQvc82I4HHZ2DxufhnTlk7EZGEDqE0IFnsnH1cMM6NkAmt8GithEMVrFhYxgbwVgPQbsICsA/JMgBNVGZDby+DkU3CLKGYXUUaxFkn/YOfd4dv383EHg9ntiLxkfhSMcfaNN0C0N7CDxAkBECjVF4hCNjAh0T6IjAQfRJHNCx76dATEhJUQOK6tMUELUdxSSDJwhgPdumiOPs79Bkz0f3fPTRRPsRhh894P8C4x8V7Sm8R+F9mhj6vG2arNNUPRRoM6muKnYspQXqw7ZSPhZFMFGtMjmFBVFQuKLKF1W+KH/Mne3XN+xLhljWD5NaQ6jofM0UG7Y8cdr/7bj7H67FA8rZT0dbFxuaUNP4mjYZnGlZcttWmhm1lVHbttKy5JYpNA2+rnM1ja3pTF1jmirT5BP1ZLgW8tW8VI0iKz6iQRN1iiz7qUIqXNK4qi1VTfmTT+NTQ3qfd0z5bX+vzyJ9QWGKupDT+GPz9OJNIX1FTF2SEtfl1JrO5myhMq9U5pVKVqtktZKjTZDvHJJ+Qcll5Bti8hofv8ZHX5Vit9XUpsFu6cymli5aAjhBgm22OVvYNti8ymzZ4pYtblrCtiMUs3Le4rfUdF5limIqxyW344FyItqNss10dJyOXOX5T5DeMDTD0CxT9/l8j0g/NTV17tw5SZIMw1AUyTA0UeSPk37746QvpmN5g2vOa8MFfW/BHC4atUWlmpWKFlcy2LLJFXWmpDM1W6g7YjWr1DNKzZHBWvoNm9uwuS2TO8rpb0qJo5y+4qiHpFdLjlad18tZueiI5ayYy4hrOntdSFzlYpe5xPMyQ505OTMzdeLcKcw19c4bv/fDP/2Td7/z7fe+e/e9t+7/6IfvfPDw7b9/6/s/2T94/97BR/tv/+ze/vv373/w9kSN/+HBwYcH9z88uP/B/j6YvP/F/fs/+uE7f/eDH773/Qc/eeutf75/78f7f/G3v/e13exjz3jI02dmTp4/e87lMkiyNp+pKGzJkku2WHakqi2AqFh8xRLbptw0+JrO1HSmbrONDN/IiHVHqGliRWGrKle3hLollA22ZPBVWxo6dkXh1/nECh+/wUUv87HnhcjTXPiGKb0os19Ix41wKElRJAx75tznz5/Hzp4DgZ87DwI7ewY7e2bu1CnKPRfFUIWmn04kVmUpJ/C3w4HLaf8tMXElGb3Bpq6kkte41Jej/he52OVo+BWByUSDxPmzs7PTUy7XKdcUfOKMz33ae+5kFDoveAnd79VIQsNxk6IkAlEJ1CTxDEXaFK3gWMx9jj41c9blOjvtOjEze8I1FZhzP56MX1bYl9nIjWjwppcsRkO1SLAU8hWjgVzEV0iEqmKyxMVqEgO0zVVbqhv4FwwAACAASURBVFtCVUk3lHTD4OuOWHakUkaqZrTmvNFaMOu60DDEpqPULKmksiWVretCy5AqFp/P8BsZ4XZGXHfkdUdcz0prWWkjo9y2pdu2BJJ1ULFfW5BXM/KKI92yxVu2eNuRbx9WAm7bj0bw1x1xwxI2DX5b57dMYcPkNywBnBVWLG7F4lZtft2R17LKyoKymhELttBS2CEbH8RCI5IaIFhvDuq74SFGjSnfiPQOUGoEY705qHd+buhx7yDwAIV6GNLF0RGBD3Gsj6NdFG4hUBOFmijUwuAeBPUgqA/DfRgeeBAQ4BwwgtAdD7rnwe5A+A6CD1F8gOEjjBhg+OiQrz2K7JJUHcWqKFpB0AqCVlGsiqJVBGogcAuBuj5/LxgahCP9ULjn9XVxvA/DI8gz9LgHkLsHu3uwuwPNdSBP2+Nue9wdaK6LetqYp4m565i7TUBdCulT6IikJj+RIDoE3iHwFom3wWnj2D1NEm+SeIsiej56Mr/+cdJ/LL+nyC45+bs9gprEoWjuMH7nPP446bsk1iWxPon3CKJFUfVQoM7Gm7rYcJSqKZYMvq7yTV1smlJdF8B7r64LFYUtaOxxB1aA7ZImfeZs96el4GVTqhhSxZDArryKzpdVoapLvyXp//8SFv+JPsLRNCy4bPOOmHfEoiMWLa5ichWdbcpMQ0g1uEQ9HasmI5VEGEQ17q/HA/VosBkOtHzeNkkBmWQfRcY4PsKIDkE2wsGWxDVNpao+ssv9BOw//SSPKwP+NaQH9glFTfo46fmbQvKanLosJ6/JqVWNydlSOSuXM2o5o1ayWjGrA9IXbCFv8cWsXFpU81kFkP46H31Viq1rabCDo6CxBVsomBMpYt7igWg9L6fzprit81saVzSl+oLWnNfqGaWV1aqGkBeZrYS/mIx2o2yLieykItc/TnpFUQwDGOfojzbcgD797OysIAimaaqqbBiaIHCges8mosvR8DbP9VOpQSzRSsQr0XCRT1azSu+Cubto3pk3R4tGc0lrOlLblgYL+u5FZ7xsDRf04YI+mNc6C0Z/3uhl9aajgMx+2+LzFg/69KB6v2UKtawOih7AbeBww42cN8WcyZUyUi4jrmrMNSl5jY9f5WKXFdYI+866XNOzMyenZ5rb+R/f23/3j//sp3fvfvjw7Q/f+cGvHjx8//79H92999P7Bz9/8M7P7x/89O7dnxzcfW//wfsPDj48uP/R/v0P798Dhf0PHjz8xcHdv777nR8dPPj5/bd/8tb3/sd3/+JeszxMC7k4L5w775p2TU9PQ9NTz4nMVx2naKSr+sS6uWbyNZOvGlxF52saX7FEcMSp2XzZYEo6UzG5mi20shpY0NR0pLolVJR0RWEbmlDNGOWMXsyqRUfMq8y2nFoXUzf52PWI71Yyui5ytxXxpsi/lE48m4h9OR79SirxXDJ+FF9JJZ5Px19gEl9R+C/zqS+z8Rf51Ctc4lIydD0RvM1FN7X0qpxa1/gVmbvKJq8K6ZeY6EtMdEWJXeUiV8T0F1OJ+PnzJ13A320ySzYz7Zo51BgCyeGpqakzLtdZl2vONXPONXPaNQ1GN06eOu9yTZ+cckl+4pLKr6riNTb5cjp2S2eup0I5MVmTmKqYrGtsVUnXVKais1WDa2XURlYF064dQ2jyiU4wMEwnxorQ18WmLtY0vixzBS41UT7bUtEStjWmoLGg/120uJzDbWQEYIxzxPWVBeVWRjjelb+V5W5ludsZccURbtk8aM+DFj6Q4oMHr85La1kJ1PC3nEca/rWstDov3cpM+vpblrxmS6vzynpWysvpajTQIvE+DHdhaIQguyi2g+ADBOuh2BCjxoT3NYLeRbERgoxReIRAA8g9gNwjBBlh2BBFxyg6QpARguwg6C6K7WH4AEGGKApijKJjBB8j+A6C76DELkrcQYjXYGIPxsFP6aPYGEUHCDbA8AE+0ZM3cLToPp/zuPOQpwgjZRQro1gFQWoo3MLgEobWaaobCvYj4UEwOKTpEYHv4mgPQTsw0oCgGuSpetwV91zF7am4PbVz52tudw3ylCB3CXLXULiBox0CH9PkiCIGFNEnJ51vsF2m9ekkniJ7FDnw0kdE/5iW3ksBuh8tpAG75gb4JMCKmn9xKj+R9D+S7+FDmhx5qSFOdGlvIxZuKEzNkctZuZQRig5fdqRqVgEJBtAMlTJSwZ4MgAFzp6IpFQ8nvI/69585UFfQ+Pwh6aumXDeVmslXDaGkskWZK6uTsnbN5I/gdBxUn+nl8m+y2OZ3jZotgDi+Cfq4m29d5Rua0NTFri70Vb7HpTrxaDsUrAW8tYC37qMbXrpBUw2aAv2gFo21KKJNEV2S6pOTUhA4/u7S1A5Fdyi6FQ61ZbYFVHiHpK//2t/96PX5XccRPzen1yRwvAOkz+vCq1Limpy6ojBHpAc2MAVLKmbV0rxRyHyM9OWFCemvcrFrfPSWHN802LzBlQy+pHFFS6g5ciujtrIaSIlrYG+yKRdVPi8yZY3rLhjjZWe87OxedDqOXFH4fCoIcvpOOnInGbnJ8lwqCUifSCSA5E7XdVM3OI6baO+P/uM47oj0R4o8Lhlbjoa3eK6bTvWSyWYqsR0PFcVUa0EfPe7sLVm788Z4yegt67uL5t6S9fpj2a8/sfjVi5k7y/adZXtvyRovO+NFezxv9hytaop5g9vWmG2NWdMYoMgDffpaVi8C33JHBM64wDBnS+O2NK5oy9uWeEthrivsdTl1jY9fldIvKHzw5Oz5qROnT5454Zq5++Z/+l//9W9/vv/Wz/ff+se33vrVt7/zP9/5wXv37r23/+DD+w9+fv/g/btvffDOwfsHb394cPDh/Xsf3bv70b27H97f/+jg4UcPf/DLv3n4q+/f/R/ff/DLBwc/fffud3Mbm+lYgw4+6Q3gMzOu6amZE9Myhm4tWB1NbGYnFuslWzz6LAD/2NuWWHTESkauZMSaI1esQ58HWyyYbMlgKxZftfiaxjY0oWuoxay+bSv5rFRbVJpZuWlKdV0qytymw246/KbDr1vsqp66pSZuqbFbamxFSt4SE7fEGIgVJQF6OTkmludTJU2oOGrekW/pzA0ztTLPb+v8LS62bYlblryqsFe52GUm8kLM9xxPv8wFbgrJVYm/wnEXouEQdG7G5To3PXPGNTV7aH8yNQUsUlxTM9MT65jDN8zUzPTMqdMnXCeSXu/TKn9JSV5O+q7G/FdTsVeY5PNc8FI6mNPZhqM8uvZ0HmypqtpA4ya2LLktpmuRwAaJFEJ0hY1WlVTVYGuOWM8o1azSVNmaxtYdseaIoIhSs6SyzhctbtsR1rPC2rxwRPoVR7gxL9zKCKsZcWteys1LuYy4ZbObDgsc9B5l+VlpNSMCL50VR1jJirfmxZXsRJe37oirNg/m8Tbm5Y15eT0rbWbl3KK2rYvrpriWVbYcKc8nSj6yBbmHc+e7MDRAkB0EHaMTanYRtI9iYwQfo+gOhu1gE9iPUXgXx9tzcx23ewBBIwjehZA9D7LnQfbc8BCDhxg8QJABgowQBJB+CKEDhBggRB/G+zDeg7CjmJwVMGJI0H2S7tLeJomXIPf2uTPb7nN5GCqiaBFFCzBUQaA6hrQoohPw9iPhXjjU9fm6JNFDsT4M12GkAsFFjyfn9my53dtz7pzbU/RAxXPnS25PGYbzMJSHoRKK1FGsgaATEhNYH0eBiy1Il5sU2qTQNoX1KHxAEQOKGFHEkMSBnqCDYX2SHHjpgZc+FOIRLRJt48iAwMAH/RDHRgQ+wg6lCTgxwP/lsG8SWJt6pMwfUMSQJsc+eoDhXS/VTUa7utDKyDVbKBtMRWdAF7liciWdKWrpos6AOmVL4xo6N8kpbansSBVLLBl89XhPV+WLKl9QuIIigHk8IN4smlLFkmuGXDeVssGC/WygBVAxpKNc+TNJ/wlz+/8QzE866xZftfi8wUw+xGyh5oiTpXMmV9b5kspWhESFidUTkXo02Aj56z66ReJdkujT3iHtG5HeIUH3CKqLkwOKOFRZ0gPKC0g/ILAGjbV8RNNL1mi8HPRW2XjV4Er2IzXfb1n/+F1dBz5N+kNFHr+tcqB9U9K4nMbfFONXpSQg/ZrOAxHPts5v63zeUStZY+L0agkFkwcLbAoZ5bqQuMJGr3KRW2oCkL6ocxWdr9pCd0Hbu+jceTw7fswZXLQGy+Zoydy9mB0tWG1T7pryeN4ES+32Ljq9Rb1myAUmXErFulG2nQrfiYdXGJ5LJRPxaDqdBKTXNE1VVUPTdV2fOOe4DtN6nudN01QUSddVoMhLJGLsYZ++nUq2k4lqKn6biRQVprdo7j2WGS9bwyV9tGyMlo2vPT7/+mPZrz0+/9oFByT0YLfuaMkeL068fGuWlDe4LZ3Z1phVNX1FiF4SIjelRN6R6/NGwRALxqS1X7TlQ9ILW5pQsJScIa2o/BWFua6kr3KRG3xixZSXaMrlcrlmZ05MTTPn5m4zXCvJ7CW5Nhr60xsrP/ujP/7xX3z7pwf7793d/+XB2z872P/ZXz386ODhR/sHH927+7O73//F/fu/2H/w0f7bH9x/+ycHd99/cPD3B/d++jcP3v3Wm3UqUoonroX9yOzUrMt1dvaka8r1rD/UXcoWLa6ipBuGXJ0oTYSaLRy+V+TavFqyxYLG5tUUqM9XM1rF0asWXzLYos6UTa5scuCCr+pS3dSKKp83OCBRaTpKxZK3FHbSDgBLlMENnS2p6UP1LwOiYLJFiytaXFHnKmATjMKWZaaqcmWNK6lsxVQ3ZSZncjmT29KZNSm+pfBrPLOSDN/kY88nA08mfM/LqZek1LPR0POhYBpDg+fPUmdOes+foebOIGdm0dOz1NwZanaGOjnrPX3Sf/a0/+zJwNmT4bkzCWjuS9H4SxxzSUm/KEW+wvleZvw3mchaMraqJnOGULflVkYt63xeZYA6t+6IVYsv6lzBEOu22lT5ejxUo/EB5R1Q3h5Fgqpvh6K7Pl/PH2imYk020dK4liXWbAGceUsaV7CFbUe4neFXs/xRG341I69kuHWHz9lC2RRKarokJkpivC6nShpXNoW8I+bmpc2suJ4Vbmd4sNoOfBOQ+q9kuDWLXbPYrXlpMytuZ8XCvJyzBfCmLZj8lsZtWMJ6Rtm0hDyfqAa9XRwdw9AYwXchbNeN7nmQHQTdwbAxjIzmPLsQtgejdxBsDEND2NNDPF0U7qJwD4F7CDzA0AGGgvx+gCB9GB6gUB/x9GB31+PpQdAAwXoQ0p7zNOagmhuqeibRdMNtN9L1oCMEGaPoGCeHBN0hyA5FN71kGYOL0JkiMlfC0BKBF1A8D8MlFKmR2Bvx6JvpxBtMai8eH/gDXZLqwEjbA5Xn3IXzc/m5uc25uc25ue059/acu+D2lM7PlT1QAYa2Pe4c5CkicBVGam6oCyNdGOnDaB9GQa+hh8BdFO5hSA9D+ijSRxHw2w1RdIRhPQTtIegAJ/Z8/tfC4deikZ1IaCcS6vrJNoV1sIlB3g6GgYPRGEXHKDpE0QGG9nF0QGA9EL8j6esYcgT7Lkn0CKxP4gOK6IBDTyw8kJiewjbZeCMRbiaCw1BoEAz2A4F+INDz+7s+Xyfg74WC7XSszSTqfLKmMnWdq5l81eLB/yvm0YJavqQJRZUvqmJRSxe0dN5gQBmgYolAXFbUmbIplE2pbCglHRjCCCWD/W1IX/2PsrufYJ6rWhzI7Bu2CKJliU1TaBh8l0l34tGW398m6S5ODgl6QHkHXnpSkyfJIUEOcAJgvoMRDRpr+aiuz9f1+TuUt0uCcQwMvH+AEHWAU12frx0Pt/kUaKYch/2/RrLw25wDAOyLunCoyGNKGnfkhntZTl+TU7cNIZeR86a4qbIbugAm7kqOUrImpK9mldq8WnKUa1LyMh+7zEduqokNk82ZXMngq4bQsMXBvLa3ZN1ZtsfL1vCCNV62xkvmG08vv/HU0t5FZ5TVdhfNo921g8fsekbLC9EiG23F2VYqvJcIvprm2GQCkB5U7wHpwZb6R6QHm6dFUTRNU5ZFXVcVRUol40ek3xS4VjrZTCXK6fiaFC9p3HDevPNYZnjB6i3rwyV9Z0HfvWDfeSzz1S/M716wBwv6cNHYuWAPls3+kjVetHcX7f680cyoIP0tOuKKkrrMRy4JkVflZDGrNhbMibbZ4Q+n7NSireYMZUuTcoaUN+VVTbikpC/LyUvp4E0+tmkql7n0ec/pKZfr7Ilp2OV6koLa6UgFR4aJ2Io/8k639zf/+Q/ff7j/47tvvffW3f/2599+98//5MP9tz+4d/+je3d/uX/vn94++NWDhx/cO/jxd+/+9C/f+tH3737w4OHP7n7/59/6g5YvvsGk1WnX+VMzrpMuzHUmAsPFbKaoMBU5VZtXq4YACtHgrV82OeDYXNaYhsG3banpSDWTL5sC2FXcBg1piy9n+FJGKGUmIwZ5kSvrYiUjl02uqKVrpli31ZIu13Xu0VyKIVcMqaTLRU0qaUJJE4A/1OHHBF8y+IIlgToh+JjIq6ltLZW32JwoVgylqHN5M10ymZotNG2tpMh1y9zg2Vf59KomvKryNxXuupy6zERelPmXFOEFhX9O5p5XhRd16UVV+IrEvqCJz6n8sxr7JZ39sso8q6ZeUpkrOv88E7jKhtfS8fV0Yk1Mrxjs7Qy/nuUattxztLYmdw21ZcllU2hk1bIpVEyu7og1R645as1SiulY2Ut2aLIRDDT83gZNgHSwT1MDLz3yB+o+uh4K1FLRqpgsy6mqIdRtuWaKRUfcygi3M/xKhltzOCC7W83I+QW5kJEqhlAREoVYIO8ny0FvIxZqqnzDEOu2XM7K+ay0lRFAyWTT4dcd/nZmEhsZYTsrbmfFLZvfsvmCLVQycs2SyhpX0/iWIW0a7HZG3piX1w1ui4lWw/4OjfcQTxdGRjC2B+NjGBvCcB+GQTG/D6NjBB/DyNDjHkGeHQTewTCQ/e8g6BhGhjAMHj9AkD46yfsB6fswPMDwHoK23J7aHFyZgwpuT87tKbg9lTmoNYd05tChBxqj6Igg+xjZQNA6jtcpvEwgLRJue/Gmz9vw+ypeX81Lg90Ef5iI/UE69c0083o8Ng4EuzjZdiONs+fr5z0Vt6fk9hQ9njzkKXo8JTdUckNVD1SB4Dzk2Zw7vzl3vgRBNQhuzEE9CBlC6BBCxxOR4OQX2YWQXQgZQfDQA4F7QCdi4EEGCLZLe9+IRH8vnf49lnmDSX0tnRyEvF0v0SOwEYHv4vgYRnY88I4HHsPIGEZGCDJAEAD7Lo52cfRfltMfCf57RycGH9mgibqPbEQCrUiw6fO2KWJAUS0f1aCJBk00vWSDJqoEWiOxho+s01Qt4K1GA9V0pCal6hpb17m6zlVMrmywgPTg2ixpQkmTSjpT1Jm8weQttmhxgPQNQyxo6YrF1xy1ZusVUy2bEkgAfj3pP2Ey8+8qynuU0HNVi2sYfE1jK3KqJCbKfLzMxytCoiYkW4FQy+vrEvQApUY4PSK9PYps02SHxtsU1iHwNo51CLxDkz2vrx8IbFGeoherBbwNv69B0U2SbJF4j8KBirNPUzu0d0xSbZyo++h6PARIX9cPN1v+K4wCP9Mt5/MeBlayFUwezE1sq9w1NvYKF39FTALS57PKtiVuKMy6xucdtZzRS5ZcsmTQ3ahnlNq8WrLkG0r6ihC/JExIn7f4sinULWmwoO8sGHtZYyerDxf00ZI5XrZ2lq3dx+yvPjl/5zFnuKCNFo2dC/bwgtVfMnpPOLVFLSfH83ysGWdr6dBOMniD4ZhEPB6LpNPJZDIOxPWapumqJsvypHoPEnpAel3XVVUGzjmpRDKaiqVj4YuxyKrE9SORChOrpaKrQqJmSTvL1msXnDvL1mhRHy3qd5YtQPo7j2V2lq3RojFeMkFOv7Ng7S7a3YxWNYSyKYDZg5zJbSjMTTF+mY9ck+KFBS3vyDlbyjuH6wEcsWALwBm3YCk5Q7ltcLd0DjRIrivsTSH9Khtf51LL8bDb5ZqZmZk+ecYzfeaZcKrHKXveyFY48t1S7v/5mx/+6OG9X/31D/c3K7mU+Jdvjt97+PAf7t/7p3d/+MsH937053/8V3/4++997zsf7d9/752/+8XDv/7H//o3P9n/7rvj8U0sop3wuGZdrpMnZ1wu3+nZa6Zcv5ApaHwroxaVSYb6qHNmiuAtCKZ0KoZUtZV6Rqvbat1U6qZSdfiyxZZsvpFVm/NGwVJuKtxLUvIFTbxpqSXHaBhyXU7XNLaSkQvzckNXq6YIVH5VU67qUkXnywZzfAPj8age2UQf7oQALUMgJynqQlHlSxpXsQBl5ZqjVjNaNaNVMwY4Ua2r4prMr0sxELfF6PFYk+KrYuxVIfqqEF0VY7fF+JaUzEmpipIGJ5uOIzdssWYLZUcoZ8V6RqnaUsUQqrpUP9oGZvA91ahrSs1SWprQjkUaXm/Z58uF/K/GEi+yyatcohaIjlBfn/a2/XSHQBsEMab8fcLbDYXqoUA3EWvyyWZWqmTk20vStWXh6gJ3Pctem2dvZbltiy+bUk1ItyPhjtfbIsgmTvRweof0d8LBdjLaZBM1lWlm1LIjbRvstsVv2fymw9/O8Cvz/GqW38gIOVso2WLJnlikAdLXdaHpKFVT7FhGfkFuaWyZj91mQ9VwoOnzNikUoHqEQGPEM4ahEQJN9PMoNEChEQKBuj0A+WfG5JEwNoKxHZjcgckxQg4QogPBLQ9UOXO+cH4u5/bkPVDVAzXmoBrkKaFQDTvbxOYaJFIP+6vpaD0d64aCO4T3dQwbIciAovrhUD8WBYuVx7H4fwmlXo8nxon4biS6Q3s7BN7A0cacu3Zmrjzn3nLPbXrmcpCn4Hbnz50vzrlrZ9y5s+e3YWgLgbfOniudOtue83Q98BDHuh546EHGCD5EcZDE9yBoF4Z2Yc8u7BkjnjHi2UHgIQz33O4OAvV85Ncj4f+cSP6hwP2RwP9RKv2NeKIXDQPFQI8iuyDvx/ABhncwooMRHQzroVgfRYYwPII8uzA0wrARhk2mDYHPHY136M89ARxv0nfJiQigT5Jg5G9y/+Gk4oikAJOaBNYkMFB5BqKBBoE1CKxJ4h2vF6T4dY0tZYSSzZfNQx8bQyjrYsWQKpZcM3kwVFYzZGCqWrH4vMG0NKFuqzlHvWGJL2nsy7pww1bX5q3trNg0+JacLulMyVEaltrUxYr1GUa5/05TduAHWSKYnALqhLKttDShmoy0Q4Gul+oQeI8ie6R3QPqGND2gJuORx1/wKoX1AtSO3zsi8CEM75L0ntfXQ7EGHigHYi+LqeeUVMkf7qBkjURGONyj6C4J1JpEnyY6BAqOCBUuXhdTTZVt6BzgPfg8eWQyeHgC+PUNjt91iqFki2DnVk5JFxQmp6Sv89ErYuKSlLgqJVfU9JYtblvilsZtGnwho5QdqexIBZMHVrhgVrxgSVfF2BU2fJ0Pr2vpgi2UbBG4o3aWzMFFa7RkjhaNvSUL5O7jC+brj2W+9nh276I9XNCGC9ruBWvnojVc0kcX7Z2sXtb5G1K4mo40k5E7cfYWkwQeefFkLJFKqqquq4au66quqao6NTX1G0gfS8eZeASQfhCNVtl4PR1bE5PNjLp30fnqsrO3ZI6XjNGiDp7i3kVn76LzCdIPM/ooa7QsuQSMJE0+b/F5i9/WeTBod02KF+ZVsM037xxzvD80wAel+9s6u6Ky16TkZS5xVUjd4FO3hXReEW6auojAc1NTUy7XqamZ4InTC+c9m6n0Jhdr6uqP661f/sl/+e9/9fAnr7/51rW1//WX3/vHhwf/7w8evru7++ZLL3QWFwq69s0b1//3u+/+Q3XwFzfW98u111++fEs1mNlzyMzJqbNnzsxOuV2u50W+tpQtylxd50o6U1/4DPelo8rS4fgHGA6Ra4ZcM+SuKbdtpeKoW5Z8S+cua+xLjvjCsvqipV02lHVTrttqy5AaOtcw+JopNk2lZoqgqQ9IX9b5kp7+PNJPvCQP3TqPSL915L6pTq6KifHF4dOrWHLFVCumWjS1gqFWMvLxAG/csiNN/pidRCUjV22pak4WgUwkxNajGsPRseMTuykLJg8MEso6v52Or8UiV1PxF7jkCxL3rMS+JKTXEslyINL0+bpeqo/DXZ9v5PV3cbJN0y2KGvr8zYCvwkbbMp+3+I2MAPY/blt8UefqMltOROuhUMfr69Pejpdq+Mimz9v2+2oBb9lP5ULeMhsD40BVlWsZUsEWcrYAavjrDr/tCAVbKJsC+HcsGXzNmfym9YxStISao1aU9CgcrkYD61KsKCbq0eDQAwGh3BhGRgg0hD0jBBnDCEh2xzAC+H0UQ2gitQNx/EsD1HN4LEDHKDpAoS7sbsPn6x5PBfYUELiIwHWPp+X2tDxQA4F3Yc8I8gwwvBcNd1W+68h9lRuy8Q7kqcPutp8ephP9dLwVC3Vi4VE89rVg9E4oMo5EeuFQ10t1MKyJImXYUz7vKXqgTY970+MuQHAFQmoepAFjRRjJuT0FCC7DSH7OXTg/V3HPFc6eGaJoH4aHMDxCkD4M91FkiKIDCOohKKjbA/b3UayPYl0E36H9o3D4zVjyWwn2m5zwLUb4Vox5PRq/Ewm+Hg6+5qfv4NgeAu9B0B2P547Hc8cD3fFAexC0B0G7sGcHco9g9wh2jxBogCBHCsQ+SR6a4fz64bpHwsChzzsO+CeTAkcHAnIyNzj0eQdeejIg4PcOfd6R1zum6K6PbtMkaDl3KLoW8pW4WMnmwYUwWYhyBBhbAchpOgqQ8Vd0vmrKdVutZrRNS7iu868Y/KWMenXBuJxRX9L41XmtbCt1nSuYbC4jViy5Yggl+3ewxP+3jaNr9tidctWUm2yqGvB1vFSPwDoY0iHwJk60Sfq4r9HhmAPRJYm+n5qYNAxsGAAAIABJREFUJfjoppeu+uli0LsZpLY49qotXZ3Xr1vKZTm9EQ52CLJNYWPCO8LpIUGOKGJEEX0S79Bkx0uNA8FeONRKRWtSqmpwdUuaTNseXZ62XLfl6m8qePzO7Q9bAXV4QPotNX2Ni1ziY49IbwpAJ58zhLwjA9lW3uInu+wsGUjQrsuJa3z0phjd0JmJ3t7gwZbO7oI2XDSGC/ruojleMgHpX7tgv/5YZu+iDXLp3QvW7mP2cEkfL1uvLVg1S7ohhWtMtJmM7MSZV9nkx91wP0b6j3nk/XrSr8n8MBarcYkGE1+X091F8/UnFr667OwuGuMlY7xk7CwY46WJamBn2Zo83SVzvGSOssZ40R5kDXAZVKyJonXT4F+Vk1eE6FUxVphXJy73mU/sp1fKGbVoq9u6eFtl1lTuppS6wiev8ckbfGpNZPO6tK6pz6USIoF5ZqdPz07NulynXa6g270VDNSp0JCOff3Jp7+9077/5p2//cY3vjMa/Kg33l/ZGLNKhwzveBM9Olrzxb514andFHPbH1hJpC6cQdhz8JzH7Zp1zbqm6SnX06lEIWsVJLapsr2MUja5Qvazdx8dHSePUvwjl+amYRQN/bal3rDlawvG9cczN55ZuvbchUtL2RcM5arG5xy1mVFbptDW+Y7GH8p02arBgSJBWeeLOnPceeMzMX+0geO4iQfQCoFd75MnrPGT4VcdpB1K3dYbjnGY8U8C7JE7HhPwAwmuzjdNpaofbpoCvpWGVNbFqspVdL5q8RUQhgCql7ksk7eYisWXDPGWxL4osM9o0pMZ/el57SlD/JIsPC8JV9OprUio66WGGNz10UOabmFoi8T7GL6HkQOcaER8lUR0i4+vyoltOZWXUjkxWeISjWS8Ewz2vP4dwruHU7skPSKpAUUNafoO5u3AWIOiO2yypQllnS9aQtERK4ZQtIScLWw7wrYj5GyhaAlVU2zrYsMQKzpftSVw4qlmlbzBVeRUKxLcQfCalyjwsYqSLidDO3PIoR4eAQ14UL0fw8gIJkYwMaE48ij2YHwXwj4jYAgUwEGMYQSMwPUQuIXBNRyqIu66Z649N9f1wD0IeQ3G9jzIDkoMgsEun2xpbEtNtcRojcSqFNZJRHYkrs8mayFfPUj3o8F2LDKORMeRSCcW7gS8uxg5RtE6ARdRvIgR2yiWg9EqQrRgvAlhbYRYx+DtOXfx7Fzx7FzO7SmQWJXGyxgMlIBAXtCDIDA+MHZDAw82RvAdlJgcaA7rE6NgqB+L3Ikl3oylvppKv5FMvRlJ7EaivUS4Hw12g3SbwroEPACCRNSzC0O7MLQHQbseDyjmTyYPIfcQ9gwQZIgTQ+I3u+Y9GtujyJ6PHgb943BwJxJqkfgkZafIPk0dpaTHKTX5JgTRI4ie39uhyQFFjQlvFyfLJFFIhKoWX3NUQPoj0kxwAgpaBgfacHVTqRp62dBvWPyrGWVl2br95NLGM4/fenL5paz+tMxcMdWcpdUtqWJzZUeoWGLV4KqfldP/28bnZcDAAwcAFUwbgs+0biLWoKkeQYwIfEBgXRJrElgbvHo0NRFaHhkg0tRrKNnF8YaX7nn9PYSukL5bTPzFef7Vx7MvP7u4+uTy6lL22UXlCp9seUNdn78S8pUCdMVHNGisTxMjiujTRM9Hf9WN9RC0EqALfHSy7Vrna4pQtSWQWlRtqZ5RfleQ/+YuwCdIr7DX+ehlIX5JSlyTU7cUZl1jgf0tSOKB8B4sbPsE6a8LsZtybMNkC7YARuxALbYzrw6Asm3BGC0ao0VjfMHcWbb2Ljq7F+zRojFeMvYu2nsX7fGSNl4yvn5xvp3VbkjhOhtppaLjWPIWl+KSsWQiduSGCzr0qv7bVe8/Qfo6n2ww8Q05OVi233xy6bVlazyv7SybIIk/nsePl8yje/pZdXc5s7ucGS5araxWc+SiJRRs4bbK3BDjl/nIVTFWzKrAmKycUY+TvpxRS/NG3lG3TGlVYVc17oaSviolr4npa3zyKhO/wSZfjoeuyewrhqz7KfT07Cmwa/TEielpl+DHVBwWsLmnTek5gf9SNPmyYjynis/x6Ss8s64qKxxzk2Mvc+kXOcbxn09TZ/DTLghY0U250NMnl1HvU4nYdU26nIpuy0zNFEsq257X8wb3mW+UI9gfGUJVLLlgiNu6eEs3rpvGpYx+9UJm45nHyy98qfT8M9tfeuL6k4+/4BgvaOJNW9pypKIj1myhaQolS65afMPk6gZbNQTQkv9M0oMncGTCdZz0uSPvDpUvKRPSgyfWMPijptfEwcpW67Z6dDT5ZBzz3D7K1A8rlnze4PIWX3TEyflaF+oa2zSFRkaqZ6Qq0NsbQl0XajZf09iGIVct47omPasIX8na15584osXrYuW8rgqP6mpz6jiJTZeDNI7GNKhyT5JtnGkRaJDEt/D8CFNt5KhIp9cU5I39SSwlNpS0wWFqYtMSU1VhHgtEWgG6AaNtUi0Q+M9H9mh6CpJNGLhvsq3TblpSjVTrChs9XArdtESipZQskXwAdcypOOkrzlyw5ZLYqLt9w1wog/DJRpphPydeLQYD/RQ7JEMDUFAHX6IQUMMAkN0gIggJn1rFDoq7IOqPogdmBxDxBgiRzA5RqgdmASN8B0EHaNwH4W6yFwHmuvB7iEMj2Csi+MDnBjgVJukal6qGqSaYboX87eD3nYoMEjFd7h0Jxau0XiTQns+shoLtSPhfjjUCwWHPu8eRo5hZIChWwiaI7BtHC1gaBMnOhjRgbEmDG8gUNEDVc55ih4o7yWryXA3GR4G/TsI2kc8Awwe4kgf8Qw90BhGRhA6hicShBEE73jgXQjZg9E9GO8EvK2IfxwJvRYOj+ORO/Ho12OR11LRnXhqFI4MaH8XJwcoOUQnU4VNAusQeA/F+ggxRMkRRo1Quo+QQ9gDSiZDFD3M7KlfM2c/oCZl5DZF9Hx0P+AbBP2D4CSnP57WHw37gZMBuH301RZFdEniaL9tnaar6WjdEo7WrD36QDC5o7nzqsFVDKFkiJu6vKYpK5pxbdlYeWJh65nH8s8+tfXlJ1affvza44svLTsviPKaplQMaSL9AQ0j4z8spwcdybouNAwZqI/LplB2pCGTanjpLkkMSXxAEX0grPFNhik+OT9Je7sk1fF6q+HQaiL6Ah970RZufWE+9/TFtReeyj33VO6Zp1a+cOGVjHlJ5tYTyZY/sUP6B6SvR1ADnBjj5A5B9Gmi4cPvIFgXR6sRb1lJlrNicV4El2pFZ8H1O1lsb4OX/TeU5T9tMPx5jywD3ySDyynpospuq9wNIQaq94D0t1UurwsVR61mtLKt5B25kFFytnRE+mpGKxniNSl+RYjekKLrBgPsNUsGX7OkdlYDmB8u6ICbwwV9tGyMF+3d5aNWuLF7wdq9YIwW1dGi/s0nlnuL+g0p1OCiLSY2iidvPiJ98sj3HpBeEISJIu/zSJ+MJ45X7wHp6+nYupQYXnC+8dTya8vWKKtOBPaLxnHYH5F+tGh0bGm0aOwsW4MFs5VRy6aQ09mcyU3m6YXoDTFemtcqjjo5Ez1abKMWMloxqwPSv6qxNzX2ipK6JCUuy8mX+PhXEsHnov6rUvqZMP0VJvqKJiwlo2EIOjt7cmpqxnPy3DmXC3HNoFNTXtdMwOUKuU74pk/6p0/4pk94T8xiLhc1O0POTFOzM6jLhbpcczNTUy7X7IlTrikXBJ1e0lLP6qlrqvyKwDyXDL/EhG8bXNGUSgrftc2jN0rlEBWTt5o5cX8E1eyCJa0a0nWdv2To15bmbzz12K1nntj44hP5p58sPPGF7ccuvvrkF15ecJ4zledN4RWTu27zq5a4YrDrpli0hJrJ13XuiPQlg/3MhP446UH1PncsChpfULi8yBTkdFnjJl2GwwHZ2mGtBcTnkb52vFBxzBQTyI9LNl90+JLNVyy+anA1ja1pfM3kG7YIxMmTx5tKXVOqula2jTVLf9lUXp631p64WH7mmReWnIuWsqgpT6nGk5r6pMZeT4U6FN300gOKGlBEx0d0AlTbizfDvhofL5vCusPfyk6MmEBzvWlKtYxQM7m6kKjH/E0v2aHJvp8ahXzVoLcc9Vf5RNlgcyaXd8RiVs6Z3KOGiykceXnWTBHM+pd1HohLaibfUbhaLDSC0BGC9FGoTME9ghpT/lLI2yTxNubuo9AOAt+B0NdgbAdBByjUwwCWoDEMjSDPCPLsQO5d2LOHQAP8swO0vUHeP0TxHZTYQdA9BL4D4Xcg9A4M7yHQGPEMMXiEYWOcbJIkmEjuERRoMPdpYuwnO16q6/MNgsGe398ksBYCJPFQB6c6Xl+XpAYIMcSJJoHVUE8HgRo+shmgawGq4aeGocBr4eBXQ4E7oUA/EBx6A23aW4sEG1K6q3HDRGSI4jsI2oOgPg7veck7JL6LYmOcHJFUH4d7GNRFPV3Y3UM8Awzuo1APdvdotB2k9oL+rwUCe+HA1yKBP4hHvsknv86wd2LxQcDXJYkujoID0+EBCB2jk6PDHoa/huJ7MHokdBgCDSOG/3rSj7xegB/QmO+AnfRe6hNKPcD1LkkcZaXHSd+nqUNfIKqPkR2caoeCDSEFSH+4ZOXw7GvxNVuoaXzTUWrz6pYtXlfYVxTu/6Ptvd7jyNIzz6SpYrGKJGx67zO8jxMuvTdIeCS8BxImvUPCAzTTplpqq2nNaFYzK7M7mpXrrvbyamlmL3b/p72IJAqsttVPLZ9zQQAEmUhGxO9833m/910A7GpI2c7Hd3Lx/XyinEuVc6m9bHI1EZmPyEWSXmCoDRrboeA9Ftvj8SMOu5so+7zT4b9bXXu/YumKhGrvM7CF5rGqiDcj9AUOt+zmrl7dCY2rHswq8tW3UW2fqM6JPZ2+YTFVjcaK1VGG4G0R7Kbjh4XMUSZVLqbb2dxBIbucja3J0ixLTZPIli/QcHoqLuex01G3WU+Npiu94Vyv7RrGLkz6E5O2YzedBJwd3DfQ59JQj0FORfJEptShR/W2bfzWQcC/DemrnyE96r0j/QYZ2KHgI45oSkxLZtU8G1VzprKsyhNNianyxArhWUSdq7hzlw0cArQKMBXz1xHxKsxfKMy5TA+64GqnPCTchMWbsKh+eBPhr8PchUJehdhvZmIXEV4lfTfguvL41lEv4vX6vG5fwP8u6SmCID788MPfivRRl2MLh9Xufcvv2sc8l1HwcSbyJipcK4yK9qvgO7C/T/pTkbwMslch7lymTwSqwWEVHq1JxCblXyE8y7h7Dfc0ZKYl0nWeqHC4qsirAKoCqCPAHAnUISD3OXyTQ9c4ZInyL+CeRdK3gHtmA85pn70YsE9DzmmffdrnmMehKRxljAb9o8eaB4+fvPehRvNQ80jz5OkHmgeaB08evfdY85HmwZO3abMP3nusefjg8ePHTx49fvzB04eP3tM80Hz07IlvfHjC51yF3bNew7TXtUhAc7g36zZs80gnDI5x5Izn7tpE930kBqjgsBaPdkWqLlDbHLHEkwsyexCNHeYyh1OFvWJmOxXbiIXWo8H1aHA1Fl0ISVMCm+OJHIMUeXSKQwukd4nF93i8yeMdDm2q4UgAV+dWf+l6O32HVBj4iEHv/LzUdUwjxyRcpaAGi75tNqD3e/KfGmL8ahHAfUsslfp1Fq1zsOpi/ZmxwMGumUNqdKBGB9Sc6QpHVgG3J3ALHJ5jkNkoOJ4rtGaL+/HwoiQkABWhqTzFZlkmAvAJwr/vcDQspjOD8dZoOnWYuoij4bc1MU+DhesMUgbIroQeg4GliWpwVpGxqoJXAVKh/RXUVUfdFcpdYd2rwcB6GN6IoOtyYJP11zj0lCcv6U8PXNR34O6RVxGwpkDUWbTCoxUebjHwGRromcxXI+NXo8O3Qy/6oy9Otdorvalt1p+NjpyNfHQ+OnQxOn4xZjgfM3W1xqZWV9eOd3S6nk7f1+n74+P9kdGz4VH1bPvV8NjLkbG3/fmRy5GRi+Hhi+FhdRjv8q2+72Z05OXw0Juh56ejusth7cuh0VdDQ7cjQxdjwxfj2stxw4X2zktu4OveN2p7+rG+TpWeGfvjuu6LoZOh4dOhoe6zp68/Gr8Z0V8MjV89HzvX62s2/bFF2zMbvg75vwL7rvyOvtty7XN8GfJ+Dfb/Phz4FkJ82Rs4tdvrHnuPgi9J+NxiOnv6/HZcf6kdf2kxfM3j/IbL+TWH47XLfel2nxiNXb2+rdW2tdquXlVX6Drasa5J33ZYrhzOVzbXud1xa3d87HZ9DfP/oc/3LYfjK0bD6/Gx25Hh66EXNy+e37x4/ub50KuhoZvhFxfDzy9Hn92Mvbgd/ehm6Kk6gKe+XecjI2dj42c63a+r6U3GO3VY/56fzx3pT02GvnFg6aOe4p8bDaqBz6lWe2f2d240nJnMPYOhqdO2jcauz9WhoCaPtwA1uHIGG2UVk1SPQToCeSTSazwxB6jFsLSZje8VM7v59F42uZtJ7KbjO6nYZiKyFFFmJD4vclmByjHIJAVNMViRR0sALQvvwPi+zfsXhXm19X237irjE4FosGiNwVoi3ZaYBsAbAO0p1CkOtR2WrsnY02v7Ou25UTcwTjDpzwyDRsipyXBmMqukb1tcy15nQUJnJ8Lbk5nDXKacSW7lEttRZTseWs1ElzLRUiw4ExQmJLYgUCkBiUtIRoDmSM+B29Y3mS51+ovxsb5R29eNnWrHznS6E4OuazJ27Jaux9ELeM4o5AwQLf5tD1/4rHXub9zl/BrStwClgumIClQo5ICCV1DPAu5Rz+nXCb9K+rrE1hRVV04di/SRQFUFWi1ZGzKjdu+XMNcK4dpm/Qc8UuHRtkCeBrmXUfk6zJ9J1JlEDWB6j/T3uuPcVYi9UOjrMPd7qch5mFsnHS3I0fXZbzz+TcSLeL1+n8cX8PsCfoqiGIpmGIpmKYZhRkZGfgPpPZAX9rp+kfTXEfB7meiXouJNkB0U8SHhfsf+0y5EiDtTqOswdx3mLxTmVGJagKgCrKFQd6Rfxz1NiWmJdAOQ6kCamhNwyNNlliyz5B6L7TLoJodvcugK6V/EXcuEb40KrOGBNQxaRHyLkHvB61iGPKuYf8rvnELcSwLB2My2x++NPX2ihsKo6S/P33v0vubhY43myaPH7z16rIbCqBkxTzSaYY3GM/QsgXjWRWqbhBac5jUqsE5AC17bCuSqAEIFYU+i7+8Z74c7DWp6Fm7xaFsgyzyxyCAzMreQjtQLuaN8Zj+X2s7GtlLh9biyFJNKcakUlucUYVLi8jyVZYkcR+Y4MkWhBRJd54imQHV5oqkGHgO8w72T6PAOid/eq1UWOaSRA2pg3nnAIEdvM7VqakGvKuHvveDf5nBL3cS0ANERyB4YdL9bPF7j8AZHNFmizQ6iqxqAVA9iWiLZ4vEWA7dZrMmTxzy5Q2PbgJoHWIoNJFl4JRHqLS+0F2ZWIuKsxKc5KkHjeYrOMHScJzMMPg1BZZe1o9Nfa419h6UL4AqAmgBtA6LFoIcAPZAG/Xb1adthsBMW7fLq8QTeY7AOh9ZE5EAO7KeocobZTJJLEXgxCG/IyK6EHopvZfYA+8yOrQqwtjBoWlYEpMkh56i/bzKdj433tcNvnr+4evG8Nz6m2n3cDA9djgydaMcrFvO2y7Xi9S76vEs+74rbtQFBG5B/y+/bcnt2Hc49q6NstR1a7S2jvWW0N4z2mtFWMdmOzbZjs+3IbDu0Wg9s9n2bfd/hOHDaq3Z7zWppmIyHJmtTbzwfGbsZHrocfn4+OnQ2Nn6hNV4YTH2D6j42cKY7MYz39GPnxoEx7cnYWHtoqPXiRevFs9qHH6hq+dOhkdPRsQun49znvvC43nh9fxTAvgnBV25Hy2rq2C0XTsdLl+eNy/ttmPiSH+rYrFWbqeN2nNpt/fHxs+fDNzrDS7PlY6/727D/uxD8HRh9gyDtgHfH69vyejc9vk2Pb8vr3/H7t33eTY97y+tZD/j2/PCRF971QWWvv+Hz1wi4j8FtKFDxug88zl23fdtp3XRatlzWI5vjyGHfc5i37fqyTV+16rqGse7I0OWY9mpk/G408Vw7NkDL5xm9UxN3VKVYf/CmDT68NJsuzSb12P7SaLwwGdU/c2Ey902mttlYt5mabnsL8bYYtCbgd9vEga6Fx5s83uapPofWeWydwaZpYj4obk9kjqYLh8V0OZ/Zy6a2ktGliLwQ5BfCYikizUfkSYVPS1SCw7MsleXYGIcVWHibR+5rxe+f1n1RpL9rBKoZsnekb/Fog8PqPFEDdJMnWxTSw/x9xHvidvYslkuT9cJgOtWrHRHtuX4QpXhm0J6aDOcW07nZoiYtreDQGkuWE5H6VLE2OXGYyxzm0seF9HKQm48Ki1F5MSrPxJWZqDStgJzMTnNsXmJyIjVNQlseZ8dsPTPoz/Xac+PbXESt7mJce6bTnRsNZxZTy2RoOa0dxNtmYPU/4reE/f0H6a95P1XS1zhcTTM6oOBlxD2PuRfJwDIRWCf82xRc5vBDgToUqH1AHAJSrU6rAl0BVAUQqvZe7d6vEK4dLqCSvgWIM5lVSX8u0/dr+psIfx0ZDNbfIfUmyF0r7E0MfDWhnIbZDcrZDNg7XtutN7ABez5DepqkVNJzHKfVan830ruuI+D3s7EvxySV9Ndh/jok3D+tvw7z6sHDVYg7lcmrEKt+5lSiWjxeYeBjgK5RvsHRBeZuSkxHZFpvA33rEl0TmQN17ovGdmhkh0Y2SHiLhtdw3zLiXMW8m0Rgm0B2KXwHQ/ZJfBuFl3yuWZd5xmeeRa0Fv/4Q9W9jUBIPUD4XY3V4tQabSe8YHhl98ZFFP24ZHra9GHI8H/GOjtuHhp1jY6LPlYY9izS0QrhmPPpSwLFKIQsYsk0HDmmkxaBnDHbOYX0ObQloVUQ+1aa+K1Wrc3CNDjRYuM5jmxQ0QfgnFK40ldvJxdfT4eVUcDUZXI8rKxFxMSwsxMT5qDStgKLITgKuyLOTAEwJQgHwcRxa5oi6wPQA3eTJGiDV+v43kv6YG5BeXfsUdAf7+1mcg+v43dUGhFqU35Xmd6smvN0W8HiXJ3qA7IpUV6TaItcW2A5LdymyRRF1mqgyxBFHHAKyBsg2IPqAOpfYfhAcC+wGjc1iriLtK0jorMJuR0LNXL5SLKzlEsUgn+PINI1lGDLNkhmOSrF0jMR3fM7GuP5yWNezWdoyfhzEawLeoNAGhx1I2J48GIpT3bZbgOjyhLplrHF4hyPbgDgG8BbvLYfQvRi+GkVLcWQhgc9E4GnZV1KgAx5R7ZlV2A8ecyLZ5HE1lqMpYFURbQnYBQGdms1nw6Mtw/CroaHr5887o0ODE/TRoQutrmY1LUOeNIsFJSqscEmJLwA2FRQyQbEgCXmeKZBEEUVmEHQOxSZReApDJjGkSKATFFZg8DyLFzgixfNJwMcFPi6CpCTkBD7H0QWG2PR5jhz2E71B1fafj41eaA1XenPHYmrbzA2HsWHVt4zaE4Pu0mh8abacmfVd3WhHO9YeH60Pv6i8eFYd/uh4+KOy/kVbO9YaHqroR8/87q8GoG+5oe8GiP/qxr7tga8czprJUDebT2yOC6v7yup5bXffeLwnTkfLYu4aTb3R8e6LofNx7eW44Y3N/vsB33cCgT/0Q3+AkjcovOexxQATF9iYwMcEPi6CuMLHFTYmU3mGSjJUnmInCTZP0RMEMYuhUwy2QLOzFD1FsxMcl+dAFoAsADkgJkUxIQkxkY2z2ASJriHwoctXMTkuRnXnI2NqX+RibPhCN35m0PZ/NenvpGEDp339QGav8ls9qh8k8ei1ap2qtkPuk/7EqD/V6tsGfdNmavldHczfoqEmj9dlcnCzvCV9gyNqDFansS4HVQG2whIFmpqSpa1s+iCb2I+Km7HIRjyyGg8tx+VSXJqPyTNhYUrmSwJTEKgcYKaBVBTkOEtNkHCZRu/C4n5LMn3e9Wmc7mcC43mkIZF1ia5wZJ3AukjgxOnoGQxdnelMa35lst8arKda/dv3cPwuOkgdWzgzmVXSFxl4QWY3E5GtZGwzEd/NJMv59G42tpJWVuLiigKWJDAng2mRm+WYaZosckJGAgmZzdLoittVtZj7Rv25UafO4qumiicmrTqm39WNtrXahkHXdNt7DNIVVTET8kVhvsnjTZ6ucXiVxe5Iv4J6SoT/Pun3WGyfw3c5bJvHjriBu2tVoI8E6kgg6kH2WCSXcfci6lwhXLv84Jy+xeOnEvM6Kt+8NY9XGXoZZK/D3B3pB5iPgNsQfxME13HhS3HpJEhvUM6G39bx2l57oU3Ig3i9fq/vF0nPMMw7pH/w4IFKeoahAOAIAoN9ftX3PuFy7pHojcfbDrh7XlfF77gC1Fdiyn+ISlch7kpV4QW5i8jg1dxGhesI6Cv0dZh/GQanEnX1dqtyIhB1Fq0BsgII1Q13iXCvYu6qTDclRhUv1EWiLlDHPF1mqT2W3KbQDTKwzUDrgFwkAyXUvQS7Sj77csC5g8MHNNlk+ApJ1AR8l3Ae4K4WIA4JbAcliiReYGna7dA+/9BoGH/20ZPhZ09Hnj558fyjoRfPhoeeD7149uL5R8+ffah+xq7XGrWjbps5RuJbonjMUhUyUGcCXQ7pymRdoo8E4oDHjli4CdAuQNWByAaPNDmkDbAGQI855BCgTQA1WKjJ41WZ3RTpksTOBcFcWFoOSavx0HI8OBeV1DUTAjMyNymz00F+OshPiHRBoKZEZkpkJngyTiOzFLEjCX2BrwKkwyJ1kWiwzK8mPXzXvR84b1PYMYWp1XyFQioUUqEgVZSnyggG876fPYC/O5t/W0ZwcINH2gzVEOkTFq0AqCmi5zx1LNLHPL0KiAUGW+DwBZEqKdx8iJ9SuCxP5HhkViA2JPZIZOsCU5GYNY7JofCESO8UUofF9G4qtBLk9jLD8T1SAAAgAElEQVSxnVxqJ5+dkNisQKV5PMVhKQ5L80SSIZI0nsfhyYC7o7Vee72HrK/Cw0cM2me5Ok+okUjqvK9qlNuQyI5AtlmsxaBNAaso+BbwrwPfXghbC0GrQWg1CC0p8JICr0SI5TA+I/gnBd+s4F9TsC0Z35XQYxFvclifIyoCpgbSH3HEgYA3ZeqUxs9czpsh7ZsXo69fPLsY+vBiePhiRN82WHfstgIWKFLYNEfNSvxSUFyPyptRZSsibsSklQiYlZg8i2ZYLMvhWQ5PUWiaJiY4al4By0GwpLDLQW4pxM3J7GxYmJbYWYmbFpgiR04LzLTE5hhsmiaLBLrsdZ4P6y5HRl4OD/cMhprN3nW4mw571Waq2oxNm6Ft0p0YdDdG04nR2NLrGjptS6870Rv6On13bLw5MnpkGmuPDLe1Y2WnvuK23NodX3F5r2H/V73QS7e/bXUcGC1ls/XYbGuabX2r69Th+pLF1/P5mw771fDY9UfProdenOrHX1nsXYf1a97AH/npcwhbItEZlp6kmGmemBPpxSC/GpXWYvJaTF6JiMthYVbhsxSWpoksy2RZJkthGQKeAmRJohdktqRwpRCYC3JTIjMh0kWJmVK4gkBNcNQUYGYBO8WSBQrOEIGy1dIZ194MjVyNjp5qx9T5+BPT2P16/X6qzeeq9c8M+hPTwLq/ZzC0DPqm0dCwWBoOewPxtAh/jyPagBhsrAW0wsOD8yyObLJEg8HVBPeagHZpuCZS6yGmqNATCrcQDa1FI2shZSUWXI4qC2FxJgSmFG5S4YpBfjIEpgQ2z1MFQE9K3ITA5Gl8kiLmeXZXIKoy2RbxOgO1eLwl0lUWaQm/Mpf9864jFj5koCMqcEQF7tTgTR5vALQiIFUF7yhElwq0HaaWUds16dsmXc9gODMYLwymU6PpxKjvGXR9o/7EaGwbtF2T/txiOjcaeuPaplbXMVsLEjkdZEsRYTmqLIalUkgshcSliDIjCbOyOK2IU7JQFNlJwEwBZgowBZHLC3RKIBI8ModASwHPicFyrterpsiXOr269+rqxvvj4y9N5iuToaUfr1p1TczTEXA10rrFfY4G/m/aEBAq6dUH6SGNbRKBBcQ1T/iWKGidQrZodJuCtyl4h0Z2GbTC0cc8rRb0xzxeE6mGzBwJRAlzLmGuRdS5z6OqbU6dRc9k9jbEvw4LNzJ7LtOq19xlkH0VAnfa9ncG2ULcdU75RiH+MgyqkKMG20/8jpc+aB3zwR4f5A+4vR6v38cwDE1SPM9iBMqyrF6vf8f3HsMwhmHufO9V5xzY64q53yF93efoE9BLkXml8NdhXqX4bYhXK/grmVFN+05k6jzMXYX5c4W5e8V9kawxSJUnjnlcdcNVSV9TGJX06oO7LlAVQB1w1D5H3ZF+lYDWqMAaFVBDbtZQ7zYJHbJ4laFqLHlEwU2BaEvMIU+Xw8F0wGt9+uHYo0fD77/3weNHqn/7g0F0+6fr4YNPl/qlFx8+NTx75nz6NOly7Cn8rki3QlSVCbRZ7ETiVFv7jkyr7Wi1B17jYPX4vMGiHY5UzS7aElOR2XWRmhFp9WaeF7k5mZ+W2AmRnpCYSZmdFOgpkSkAuiiyg9ubp9S7Pc9TKQ6fpsk1jmmyTBUgXQ6pCXiDo34p5tUBvDvSD7T3NF6h8Sr7qaeeKptXcyfb9wYE7pf1d4z/hUUci3ibRY4BVBXRBkdsCuQWTy7x5E5MPp5IViazm+nIXBAUBCoPyBQL52lsjsK2WOKAJ3Y5Yp7GCySxloxWZou16Xw5G12PCNvJ6EpYmZelgsjkBToDCJX0SRZLMUSKIaYAM01jDU/gisSrIloXsQqH93j2babA21Tst2qDE57sA6oNiCMe2QHwpgyVE1S7qOyl6PUYtqj4F0R/SYGWw+hiEF2Q4VnJNyf61sPYVoTYCRN7MrbPQjUOPZAw1dG6DLA9EW8oVJ/BT73uhmH8bHToZvjZ+eiL/vh4V2ep2tw7ft8Mgy+I3EpYXo2HNhOR3XS0nIkfZqJ7mchOKrQclWZkpiBQBYHKcniSRLIsNSWwy1FlKxXeSihbqeBGOrgSk0sRaT4kLEeV9WRkJRZcDEtzQVAEVFjAIxJeJH0tk7GlHT4bHu6YjA2X68zu6TncDYvl2KSr20xtm7lrMp7oDW2zsW7SN8yGE6vlxmn/ktv9scf7VV/gxG7tO2xnHnfP62paB955Z073jcN1aXN1zdaGydow2xpmW91oahnNp173K5uv4fHUHZarcd3L0ZHbsdG+UXtls3cctmuv/5UPP/RDiyhS4tiiyG8kglup8E4mupeL7+cT+/nEXi6+m43Nh4QJjioAdkIAOY7OMHiexedD/EZM2YwHt1LhzXRkPRlajMrzIWE+JKwmg0sxZTEsLQTFWYkvclSexXMMtme3d7TG65Hxy7Gxwfybbvw+6X+xoP9c69RlPnPZLjyOm4DvCvGfIv4e5u/isOrZ0gNkR7gbPcXqPNLk4AYL1RlITaEdOESxUFugD0RqUSKnFGYqCOYUqSQLJRHMSpy6m5+U2UmZLYh0QWQmJHZKYNUbvyAyBUDnGWKSIWc5ZosnDkWiKWAq6TsiU+PQloB+USX+23geuMLAqqhQbVW2WaTDIn0OO2WQPuTpWAxdVaxg0J/pdOdvnYvU6YZLnf7luP5mTHc7rn+tM77UGs7H9U29sWox5wE+KdMzMjctMFOAnpW4eQXMyNy0CKZFMCmBCYErAHpCYKZFbkbi8xKT56kUhyU4fBpHZ2FPx2S5MuhOTYYLk/Fcrz/Vak/1uhPt+MnY2MW49nRU29Hpmg5LE/U2OeTt9BP1/yvpS6h7AfctkoF1CtlmsDvS77FYhaMrgPkM6Y9F8leR/iYC1FG6iyB7FRMuIvxFkH0ZBi/D4NPx+vAAtZch7jYtfy0VuhLpus/eRJxnfudLH7SGelXSe/0+PxRgWZahaI7jMALnOM5gMLzTvb9PegxD7kgfdTl2CeTa7VFJ33Tb2x7HKeK/AtRNBAz++RCvJtxchTjVPOdcYVRjP1V4r/YfTiWqxiAVDr9PelV7rwoUayJ1n/RlltyhMZX0O1Rgl0HXSLiEepdQVQoROGChYw4pk9A+AVcBdyRJhUDA/uyDxxrNBw8fPtZo3n/46IFG88H7T8ZGRj98+mR8bMTncrrtNqfV4rJZPQ67x2F32awOi/nZsw9Hnj97X/PwPc2DxxrNU43G+OET2ecucVBVpk8Yskeh/SBXD7JHDNri6A5HNlliIMwWybZAdjiyRxOHgDzmyQOO2mDxWRqZ4PFikJsI84uKuBSU5oPiXFiaj8jTCijydJGnJziqyNNTAlsU2TxPZRg8wxF5gU4LzDTDzFLEIYHVJKLHo1UWanHkbyR9lUXUoMy7rMwmT7YApV79d2Nyv+oxoXYL7z7/drIOq3F4GSBVJnAM4AMB3WSwaRad56mdZLBazDZmJyrTud18qhSRCgI1IdJpjkrTRAFHl2lyV2RWOXyKISYlsJqI7BXS5VxiLxXdSYR30/HlkDwjgLxA5wVaLeuTLJZkMbWHn+XpHE9sIVCTJysy1hbxGoe2wCD0qfFuemYbEG0C7XFUA5A7LLwC/CshdDfJHOfEvRzYSjHLYXQxCC+H0QU5MCf6lsPoZopYj2G7SWovRW/GqfUwtgr8OwDeFZADAT8SiH2A7QD0SMKbHNYKeBtm3eXI0OsXLy5048dW85rbuYBBszK1JHEbsdBeNlnOp/dzqXIucZhLVgvp40L6IJ/cTkcWo+JMCEzKbF6gUgyW56lZGawnI29xGN1MR1bjylJMKUWk9WRkr5DeySXXEuGFsDgjczGBiEnEJOVvWCwN7ejZ8HBXr2/YHFdO6Mod6NodVYu5ZjW17daezXpitjTMhrrF0LKbL73ur8CBb8LId2D02xB0prfUbNam23lmtnfGDYcGfdVuPXO4Tq22S7vj2u5+afe8dPkuHM6OxdwwG9pe57nFcWS3HFsMF7rxW+3Yzfh4x6h7ZXFU3Y5NIjAD8ChApkRmKxzcSIXLhWS5kDyYSH1mLUXkGYmfCUpTspAX2AxH5ABZiks7qch+Nn5YSB0UMnvZ5FoivBILLsWUnVx8JxffTMeWo8FZiS/ydJ6nsjy55fa0jNbLMf2lVvd22H3813jkfd7Vtuk7dtOpx36OeC4I6JRGezzWFYkuj3V57C5ZUfW8q7JQC/gbfKAJkKaANQVCHbqrcfgBoJcppEjARY6ckfg5GcwrwlJEUXdyswo/q/BTCjchMCrnJgFTAHSWJzMckeXJPE8VeXqSp5dZZJdDqgC5I32dx5rgiynom28Fxep2+W72pMnjXRI6gbx9l7PvsHfslo7FdKI3XGgHzflTk+HEoDsx6tUP+0Z9z2w4MerPdLoLraFvMFVsllWvbRpxFAExFwSlkDgn8/MKWI4qSzFlPiTMKdK0Ik5KXF6gc4DK89SEwBRFNivTOQZL01iSpyYZukDBdZv1wqDrmvSnZuOZQX+q1Q7OX/S6nl7b0xlO7fZT2Nej0OadLdgv2Jr9zqSvs/gd6WsMdkhjWyRUQt3zmHeZUEmPqKTfZdB9Dq9wZAVQqpX7PdLji7hLJf0ehxzxyB3pryPgJipchfmrmHAdF2+iwlWIu40KKuk/hX0EXIX5qzB/odCvefoE9dec5hbkOPM6XnkCa4gH9nggf8AX8PuhgFrTsyyLkwTP8wPSq/n0d937z7jh/iLpOw5b227t+lwXDPbpRiPE3x0z3Ib4a4E+o5ArjrgB1LXC3oZUlQE4k+kag9Q4vMoT23RgBXWp2vt6kFXtBaoCWZMI1S1H5eUOjWyQgQ0msMdBOyy8hPvnEO8i5lvDfdu4+5DyHFG+qkBWI/IchhMjY0MazdP3Hmseax5oNEPPX/AkPZubeHNxeds/vei0/st3v/Pvf/ezn//0J//6kx//609+/POf/uTnP/3Jv/z4R//0wx987ctvXvZPJiNx2Ol58vQDzUPNw4eaDx88NH/wcIZCu+FgncBqRECdvGryeAfQauB0CxAtka5L9CEgd2lkQ6C2BHZb5NZFZlHmlmLSWja2lo1tp+JbydhaIrKWjK4lo6WwPCWwUwI7I/GTgJkETFFkC4BOMViKwfICnRHZSY4tkOgWjtQUqs+hFdrffjeN8Zci/21bj3hnRu5d0ldpWOX93XD8p666AFV9vN/28UjVCafCwIfcYOO/z+GzNJRhsSmBPSymj6ey29nEajy0mgzPh4Q8ICcEJi1wOR7kSGqWpTclsAjICZaYCkmL8dBKKroaD63HQhvx8EosOC1yeYZ4W9OTKQ5PsliSIVTSJxkqwaAThH8bkBUB64qEqoFQZ5lUb74mh9UZpMFhbYE8Fdi+zNdEagMgJQmel+E5MTDPe2aAZ17yzwreOdFXUvyzgnspBB1NSu1Z5TDLltP0doraSBBLEXRe8K3K8CFAj3lcrem3eWRfQI545ADzdi26m+Gh2+fDbbNxBXLlSSgv0VMpZSsR2s8mj4q5o2KunE/vZ+PlTPwwlzzKpw5zyZ1MdCUWnIuIs2FhUuEKIp3nqWmRW42H9grpciG5m42tJ0NLUbAYlhbD0kosuJGKrqejK4lQKSLNKvw0R2c5fBL11U3Wukl/qtc1zIaKzXJicfft7pbVcWwyHhkNNYOxazZf2h0XTkffZu06rNdez1dh5Jsw8k2//xs+38eewInP3XTZzrTG02FtzaBvOK19h/3Ubn/p8nzsCXzDi3wbwr4agM5dtpbdWHdY2npTWa+r6MfPtWNX2tGXI2NN3diV0b7jc5dodIZnJiWwEQ03cumjmcxBPnmQT5ZziXIusZ+N363VeGghKJTC8mxInpD4HKDyAjUfk/ezycNC5riYO8int5LR1YiyGJZKEWk7HdnNxrZTMXWLMCEwOYHN8PS6D6pZXBda47l+EIl7rtefmgYBNvcdb1Qjl89L+pZ+tKUfb5t0bZux6bI2/I4m7lMjbdQgK/UkuwHwOgdXmUBPQNoi1pSJikLvA2qTwbdYYk9gdhSwLLILIrcSVraSsa1kbDMd3ywk11IhtV2h8n5G4qdFTn0CTAhMlidTDJbhiILIFEQmz1NzFLLBIlURb/BIk8PaAt3gsJbwhZ3Z/2L+rPpI6dJw2+NojWtb49q23drzu/oO24k6424wXhqN53rtoJ2uNZyMaZtGQ8Niqtgs+w7bnte9g8NrPFESqaWIvJ6MbGXim+nYRiq6kYquJsOliDQfFGeCwpTMF2VuQmLVjf6EwKQkPEsiWRJNi/yEKGUAceSw9826rlan/ndf6vRXesO50dAx69sOS9ft7cPwCY11+bdC4y9Ox6CSXsW8SvojBt8ioUXMU0K9y0RgnYY2GHiL/pT0VZ6qgEHq+jFP1iW6oVAq6dWjepX06utUa/rrCLgMcS9j4m2Iv1W4K5F+GeRfhdSDee4+6S8i/AkFXUL+lttes5s6fvu52/nS7VdJ7/d5VOcciqIogmQYhqSpT2v6R48ePXz48OHDhwRBcBzHMBTPswSBqaRHfO6oy7GDw1cud9fvPvW6ew57z2E/8bnPafRCYS6jA8/eiyCr/v5W4a5J9MzjvvT7rhHoQqSuFfZaYa/DfF+hGxzWAGQNkL9IenXE7q0ij1IVDbsMuklBGwy8xniXaV+JCpSowBLuX0U8O5i7QvsrDDofcMW8TutHHz3RaD568oFGoxkdH5ubmnx9dfXPP/rhv/3oRz//5JN//Ou//qfv/e2P/+K//+2f/Nfv/el/+96f/rfv/9n//smf/8knf/4nP/g//vSTP/+TH/3Vf/+X733v37/3yd/+2Z/t7m6/9+H7Go3mg4ePnz14b/jhw1jAfxyS6zRxQiMnIn5Eu9sS0wJUD9Btnjpi8G2OWJGoGQmfk9mVkLAdD+2nY+Vc4rCYPpzI7qbjO+n4ZiKyGJZKoYHeflYGCyFpKRqckfgiTxdFNi8MSJ8T6bTATAIuw+CrBFwJMn0OO6Z8nV+mKb1/Zf+am//uqr1zxf/li/YfU75jMlCl4QaHvd0ikFV60Nzr0USZxgsMmuGIaUVcSYQ2s/HVZHghLM6GxAmBSdNYAdBJhskCkKaYCYqc55lpFk/RSEZki2FhOiJOh4TpID8XEadkXn26FUQmB6g0iycZIsWSGY7KcFSaJTM8n2bJJI0si2SVp04lpsMidQZSk8Q6AtkVqRYgBtnhIt4RqZqA73HQEuedlXxTsm9W8pWkQEmBlkLIghwoKf7lMLwYDGwmiHYp1p2WD5PETgTdiCCrUXQpAs9L/mUZavNUGxBtgawJeBkg+wDbB9gOA9Xtut74SHdsdMdlm6ThvEAthKSdVKycSx0WUsfFzNFk5iCf3M8my5nkYS59kE0dZFM76fhKLFiKSPNRaT4qzYaFLIcXAbUYlXdyyb1Ccjsb20iFV+LivAKWIvJiWJoPCQthcTEqqzV9kacTgMiS0L7DceA0dyyGmt105LA2zLaaxVaxWGs2e8fhOLHaL632r7h8f4CS/8Hj7VusZzb7K6/3Yz/09QD0+3Dg2yjx0u/p2819nfZ0ZPRMp+vbzV2X5czheOP1fcMH/0c/9ocw9vUAdO1xdh3mhtnQG9PVxsd749pL7fj12MirodG2VluxWAu4OyHhk4qwEIuuFZK7M5nt+aRK+rulIr+cS6gX/2JEmY/I0yFhQmJzgJwK8uV85qiQOyrkdlKxtYiyFBRLIXE+JKxGpbVocDmqLASFKZmfkNicwCZ5agWCj+3uM73pzKBXJfcq6T/jbadi/ncg/bleq/ru9fTahk5bM+ubHlsP8dY5uCMRLZG8s82oc3CLR9X09EOB2haZZZGdA0xJ4ldDym4ytpdJlPPpw4ncUSFXzqY3UtGlZGg+xC/FpMWorJb1ixGlFJZV2KukT9JoisMLMjuhcFmBKhLwKotWZbIlqMNg5H3Sf1E8u/9XqcVACxCtgLdpNrVslhM8cMrjPczfsFtO9YYzs7FvNfXNOnVgoWsy1o2GstO5hQbmBCwfpgoJUMpGdvLpcj6zm0/t5lM7ueRWJr4aDy2GpYWgsBAU5mR+VuGng/xMWJwOCZMKPyHxExKfFLEsiRRILKfIU6FQUqZ3PZ6a1XgxplfDi9UQ5I52rGkzdFFvk8aqJFKl0QYYeHr+xgz7z/XO1JhPn5Zq9/4t6d3LhE8l/SYFbVLQDgPtcUgNkFWBvk/6ZpA+ltA70u+y8BGPqBaKZzJ7q3BXIe5CYV6HhSsGvyKQcwy65km1pldd8+7X9H0icO719FyOltPag5znbudrL7SJQYjX6/W4vH6Px+cmSZImKYZhGI799Jz+wdtfn9Xe+3456U+djlO36wzynVGISvrrCLhW2MsgexUTLqPgVuGuMPjM4bh0uy/9vgtA3sjstcJehbgTmWryeFOgqjyxQwVWUNcS5lrF3Crp1RJKtcZTRfhVgd5jMZX0S4yvRPkWaf8i6ZuDHMuIe49BqwJ5GJQks+G55u3Ponk4OzH57a/+3v/8+3/415/8+B+///1//Nu/+efvf+/nn3zy8x/+4P/9p3/8+U9+9O8/+8n/+vuf/a+//9n//Lufquv//oe/+59/9+N//cEn//7DH/7sL//yX3/2k+98/Ws7yyvPHj76QPPkgebhI40GM2gbkdBlSNyH7d0Iqe6CuwLTAtQWiSwBfCmplCbi67n4Vi5RzqePJrLlfHovm9xJhDeD4lpEWo1KyyFpMSwtR5WliLIUUVbi4ZV4eFoBagcvL9BpFk+zuNrHLop8micWKfRAobocWqGgtkD/qovy10/KNTisxg3M8H8D6Rn4M1pc9RurlL/BwjUG6ULIHgSlaCjDEdOiOBMUFqLKfESeCQqTCp8DVIrBsjyZpMgcD7IMl6fIKZacZLEUjcRZIslTKUBnBSrDEUWZywt0TqRzIq22LlMMkWSINEcNSE8TGZ7PkUSYhmcAfsiSHZnt8ViHRQZJQizaAkRDwo8ltCzCuxJ8JCMHErwrQ5thdDWOLcXRjRR5OCEcT0rHk1I5z+/nuIMC2EnTmwliL8sepujNILShBFaD0EoEWY4iJSmwKsM9QLcB0RGptkRVRfxQJPYlYltA2w5TV6+t6nWLfldeJCZj0kYqepRN7GeT+9l4OZdQ8bafTZZzqaN85jCXPixkdjOJ1XioFJEWo/JSTFmMyhMiXQTUfEhYT0e3MvGNVHg1rizHhJIMlqNKKSROicyswpci0lwQqHqOhExneWLP7S1bTZ1xbVer6+oNTau5YjZVLOaux32LoG/8gS97fN/wwf+FoD/2+M8s1p7Fdmp3Xjtdt273K6/7Ky73S5vtzGJq6ce7I0PXY2NXFmPHY75yOL7k9f2e1/ctb+A7fvjrAeilx3XmsHd0utNhbW9Eez2qvdSOXo0Ov34+1tTq2ibHDOnPB9m1cHg3ldrJp48yqWoqqgL+sJC6W+pntpLRxbC0GJUXYvJCVJkOCTlAFURmNR7eTsV3kvH1SGhZkVbCynI0uBRTFoLiQlCYV8CswqukzwImwZGLMHxkd/cNpjODtm/UqqTvG7WftbB9V5r3268rvUFdlzr9qVbbMxj6Nuul112l/G0RbwukKgppcFiDhbsi0eaZAwpfp4nVoLCWiqxl4hu59FYhe1jIHBVz5WJ2N5PYjIfXIspiWJoJgXmFW45KKzG5FBJLYXk1EVmKBqfFwRMgx5FJGk2zA9LnRLpAokssWg0yLRG/S3NRuwtf+HrHNk4kWgzaIeATGuuL9InMtFmkgXj6JlPXbOqY9T2Drq/TnugNLYu54rQd0OShIpZT0XIuVc5njvOFSmGiUpgoF7Mq45diSikkzitgMSytx5XFsLAQFOZDwnxUmo1IRZnLC2xeYFMcliWRAkPkFTAdVFIyt+H37bhsN2OGizH9qV53YdCd67Vd3XjHbb8EhNoMPuYQ1a+6KRDNe45DXwjpVU/xYxq5f05fQlwrb0m/RgU2SN8OA+1/GmzzDukrMvaLpG+q2vsguA3xFwrzOgjOIJ8qoDknkc9Yzd6tMwK68nn7Hs+J29mDnGcuxytPYAMNoD6f1+PyBbwen5uiKDWZnuMFlmV1Ot1nz+k/S/qAB/a5Y27nDg7fuNxdv/vM5zl1Ovou52nAe1fTq6S/lpjLENcPMecyfY5BJ05Hz+vqQJ4rQKmNiMsg25PUWCfqiEF3aeiO9DWFaSrsMY+r1kJ1iW6IdF2gqgK5xyGbFLTOwGs0soR71cG8mYBlkfSt8cQcFnB+9Nz07KNHGs2jRw8+/ODpSa3+z9/7wf/z9//0v33rPx5v73Srx+XtDQqFsICXQzGP2RJwuWCPB/F6YY8Hcrv9TmfA5Qq4XAQEOa2WldLcd7/19Z/+1V/92w9++LO//Ms//e53ZZp78t77mgeaDx4/sj39YAFDunGlE6JbDFyjAzUBPxLpVQ5fUcB2LrU9mT+aLhxOZA8LmUE3Mh5aj8prIXE1DLZS4d1sbDcb280kNlLR5aiyFA3OR2R1mD4HKLW6VUmfA1RRZBOAWKCQXZHssniVRZrC76g0+e1JX2WxO4XOHfWPqECVCTRY+Ijw1+2uTZc7wUApDp/gmClZmJRAQRzcqFnApHkixeF5hprguCLPT3LsNE9McXiWwxMcnuHpLE9neTpJYjmOTtNYhiMyHJHjyAxHpFkyzZJphlYL+jRNJDi6iBMKDeVZdJNEDyW6yWEnLNoBtKpaqALsUIC3Rf9mENqKYZ0pqTMltYpCfVI4KvK7OWonSx8XwH6aLmeYcoY5yHIHBbCf4zbj1HIQWYkgi4p/OQQtBgOlUGAxDC1I3jXJf8zjRzxSFXE1wqQqkEcSuSeS3YCra7cd2WwLkKcos6VMdGsisV0IbyYi28nwbjr6tnGdLOdSR4XcYSFzOJHdz6XWEmF1engpIi9F5JkQNyHSMzK3HFiAGhQAACAASURBVA+uJEJLEXkpIi5G+OWQtBYNziugCKhJmZ1SuCmRmRToaYZKC1SBI8oub9lqORnTno/qLsYMTaO+ZtRVjfq23XrhcV973G+czt/z+r4JI7dud9tqqVlsDbOtZbR2zda+zfaxx//G7Tl3OlpWU2987HpUe202t1zmW7vjS27vV1zur7jcX/P6Pvb7X7k9107XqVZ/PqK9HNa+Gh671I5ejA2/ejZa1+tWAt6igM1GQTkZPyrk9gqZvWxyayKl/vifqexV0qvb3MWoXIorcxFR1anMSMJiKLgWDa0E5ZWgvBYNrcTDpVhwUgJFkZ0S2GmJnZTZAqAzHJFiyRIEle2OE73hXdK/k1l3J8f7HRR5fZ1W1fNf6vQDX32z8dJmOSa8HWFgmzgQiDBQVyTqgN+h8WWOWI8rO5OZ3cnc3kR2fyJzWMiU8+mtTHw1oiwHxdWwvBEPb2RiO5nobja2nY6sxkMrsdBSNLgQUiYlkONI1VEjRaFpFi+ITEFmcyKdo7B5Gj2SqaZA1JiB16RqOvnF0P1t3PtnnhWDY3uBaKvhVbxqCIZfOJw9i0V1rrzVm6/05rbVceRyLyWl9UxwP5s8zmaqqfR+OrmWic/lopvpmNrNKkWk1XhoMx3bzcbKucRmMrQalUohcS4iTgVBXmDVzX2GIXMUlmfxnMzOCCAjsisQvOh3X4+bznSGrl57atJdGvUXBsOZw35FICcyo3b17r/+L7DbcZ/0FQo5oFBVe78AO5dx71vS+zYp/y4LlwFWF9W2NKuK8uoS3QySFRldItyqTZ5KenWO91RiXoeF6wg4C7Gvw0LP6+o77D2X44JC7xJkPkP6UxI+93p6Xk/X4+wGXCcu+60XXoG9WMDrcTt9Aa/X72EYBnA8w3AsB96p6X8N6RG/5470vYDnzOfpu5w9h73rc53S6GWIUzv21wr7SuGvI+A0zF6GuCuO6MO+Lh5oUIFrgX4TEV9FhDvSNwB5QMF3pF9BXfdJfywOSN8Q6ZpI7XHIOg2tM/A6Di9DrnXcs066F3HHqoBO0TClHXny6LFGo3n4+NFHH37wx9/5g3//4Y/+7Xuf/I/v/icSxh9pNM+ePXv03kPNY9UV7+GjR+9pNA81mocPHjz6zNJoHmref1/zSPP06ZPpWPJf/upvfvLn/+c/ffLJj//q/2II9MnTDz588fyRRuMdfr7B010ZnLN4nfSXOXhLJpdkaj0a3E0kt8Px9bCyEZR3ouHteGQpIs+HhFJEWI1KO6nQYSFxWEzu5xM7mehqPFQKiXNBMKkIeYFV4ZdmyRSFZxiyANiCQE0ITALgsyS8KeAdDn/rYvEbLs3BVa5act7b+9d5bDAYyqDHLDa4dn8B8+rY6DGN3LPUgKosVAVIS8DKlL9qtm86nHGAZACZZ6gMQ6ZpQpXOpVgyxZIJjowxeJEmciRRYOkpwExx+CSL5HgizRMZhswwZJ6hkhiSZ6gMieYZIs8QGRbLskSGozIsk2boFE2laSLDkCkZzDNsmMeyPLGMIxsiXmWRDou0eaoD6I5IVUV8m/Uuc67VSGC/yLYX5fasVCswx1nyIEfuZsitJLaTxPaS+F6S3E0Qm1FsPYxsxMjNOLUSQucjyHwYXo5icyFoUnZPSe4Z3rkMPBsctMZ4d3noSETqPFbniQog9gFR5gPHhH8n4JpHAwsSv5dJHOfiu2lxIx7eSoX3MrHDglrWpw7y6eOJ/EEheziR282n15MRtS2/FJGXQ9JMiCsIxJTIDAr9iLwcldZi4no0uBpRZkQ2z+LqFEOexScFeooi4iwWp5F1n38n4Oq47T23veuy9Qy6vtXUtZqbFmPbbOxZjTdO+8d+75cgf9/tqNgs+xZz2WCu6C1di+PS4/vYBV06PU2HtW42drX6K73p0m7vumwvzbbXDsdrh+Olw/7G7fqS1/fG5X1p91wbjNej+uth3ZuR8Uv92Ll25OXQeMVsWvN6FhhsJSJuTSS25vIHhWwrmWkXJu7X8ffr+81ERO3MlyLSUkxZCIvqYNWMJCxFw+ux6GokuBJWVmKhxYgyrYC8wOYAk+cpdfo0yxJpFs9wVAn2l+2OE4PuzDjWNw7k9ydGvdqrf8cRT6c90Y5/XtKfWIwnRr3qh3+u15/pdKpHXo3w9QCuCmU6ItUChFrTV0R+myOXRXotEdzIx9aTodWwuBESN6PKWkxeiohLEXE1LG7ElJ10fK+Qrk1nD/LJrVR4NR5aDMuzMpiUgEr6HEdmWSJNYxkGzwu0elSfo8lZGjsQqQbAawwyEMyy8BdI+ru81/ukb/F4jUOPAVrh0TqDtCikw+EnMtMM0gcAOmC8LRY6ZZAWheyw8LyIrAfZ5TC/EBMXE8GVRGg1oiyHpKUQKIWkhbC4EBaX48HdfKoynTsuZvbTse1keDUqzSvcrMIXRTbL0wP5LU3naTzD4TmRmuWYHKCWEGwG8l/pzX2TqW3Rdk3aa6P+Sqft6/Qtk7GLB/oM2uewFgPXaLjBYU2BqAlfzJvT4LAqPcgJO6JglfQbuH8BcZUCjiXMo5J+nfZv0YE9DjkUid9I+h0Guk/62xB/FmJPgvTLMGi57T2bteN2XLL4TVQYdOxD3NVbzfttiD8h4VOvu+txd9yOdsB16nG+9CEq6d0uhy/g9QW8LMsCjqcohqLZTxV5jx++p9Fonj59iuM4TdMMwwAAMAL1e32qc07c49oj0Vu35xT2nXncXaf9xO088bnPKOQ2xN/GxNsQfyOzVzJzG+LfxKQ3MelVCNzI7LXEXEvM66j45aTyOipchdi+SLYErCkQRwy6y8LrxKBGrwaZusQecURVZisSpaoYahJREbADHttl0A0SnifhNdxXCtimMXuJxedI2vnBR480Gs1772k0GtP4+J/85z/8hx9+8tPv/c2f/6c/ChGsRqN5//331U3M+++///z58wcPHgAAOp3OxcXFxx9/DAB48uSJLMsXFxcIgmg0midPnqjf8v57jxxmw//44z/++7/+6x//xV/88/e/f37We6DRvNC8/1TzyD0+ckjyXZFqifQOjW1I7H4utT+ZLefTe6n4WjS4HgutRpRFRVDPXNeTkc10bFDoZBO7ychmPLgWDZbC8nRIKCpCDjAphkizeIbB0zRW4IhJgZ6UuJzApwHIkugah9QkrMoEOoD+vNvVgXqIH6jx753Tw3fzeEcMesTg6rq3A1AH9KE6B9c5uAqwNou1sMBOwDUDuTMUkmLpJM0mGSZB0ymaSTNsluHyHMhyfIKk0jR2Z/mXA2SWJ9IslqSRDEMXADvoVfJEkoKzLJFliTyN52k8R5MZhk4zdJolUywZZ7Eki0VZPEmReZ5bkEAd8DccfSqTNQY548iOTHcYbJeHijF4JUluZdijHFdOkOUEVckI9bx8mOG2YvhqMFCSfSXZtxyG12LEUggpKYPB+pKClILolOifVqAp2TcBXOqXSrx3RYLWRGhNRDZlZA/AFSbQY+CeRDZ4do6jp1hyMcKvF0LHmcR+JrWRCG7Gg3uZ2HExU53KqSf0R/nMYSFzNJHdyyZXYsGFsFgKy3NhaVoBc0EwweMTAF0I0StxsBoVlsPCSlheDgXnJHFK4CcETqXdoAXCEAkOD4bwTQav09QJQZ4SeI9Aekigh0IdDGr43FW7tWm2XFgcbxy+tsvZdNjrZnNFb6roTXWTtWl3d1y+ax984nQ1rdaWxXxqt187nbdO143L9fte59f9nq95fV/y+t74A7de37nTce6ytc36i3Ht6ejYxfjItW70zYvR1x9q9+z2IoUsiMxWIqSy/CCfPshljgq5+8fz99v4m4noaiS4qIj/H23v+R1betaJltIJfYJUuUq5ctp5vzvXrpyjciXlnCsolEJJOjrdbkcGM4PBcIGBOzbYbrrt6WYYPFywzWWZCx7gGpthFnxiAYs/gi/3w1uqoz5OF2hrPR8ktc45XVu79u99nucX5mRhThYgERXSU2b84lzQO+0TpgPCTFCc9HF5L5PmQZql0yyZZUjIuo+zeITBih7n7rjpzGC8MGibg+38+Oag9uJeFP2rNPoP9/QdOzzog9v5GZhX28Z1ox6a47YMhtvBkZbWcKbRvRgebZCeEwo5FYm6TBwyyDGNHvHEOo9WeLAR8sFf9HoishwJzAe8JVkoB2WoKKuE5KWIvJYI7uSiO7noRiK0FgsshnylgDTnEye9XEZgkixc26EJgKZoNA2wHEtleSbN0mmOSDLIKoOfsCTMUz5l8N2fzvS+fi+j64zBoQ9mlUX32Ve+Uscie8aRNS9W9ZNHLL1O4yUv2EwEtvLR9UxoOR5YiMilgASX8QW/VAjwlYh3LRXem0geTmf2JpJr8fB8QC4FhKKfn/VyeY5OAjxBEwlAJwCdoIkUQ6VZOsNReY6e4KgJGs9inkuj4WhQd6HTHRt1J4P6llZ3YlC3NOraiL5pHT+xmy9ZHPqG1Vns9J626P8/qL/2nSpA2umgjGcPDkFJzybuXkTtBcQ25zaVUOs86Vyk3QuUa4VybzHYPkfCYGLo5r7PEFWerPnoHcFTwmxlzFbGLKuUHTptNzj8TKBug/yVDD4ekVo8fs4gZ5T7kkLekpiX/g9lxb0IcC/93EuZPaPcVw57026rj48cO8bOraZrs2MRdbrtFpt13Om02+12kiQpioLbep7nnz59quhSKPp6HigUiqdPn5IkSdP0DyJ9W09vtpy5bBdWS9M0fmoeP7WZzwn3jRfc3PHtYege1NpBNsFLmb31MveR/lwkGzxa47BdGlmlnPOopYxZypjl0EvXJBpqEtp7epGqSsS+SO4I+DqDLlKuEmKvEI5Z1FShPUm71fr06UOF4kF311NFL2ty/tfP/9q33nnvD9597w9/54Pqzk6PQqFQKHp6ehQKRX9//8///M8HAoGurq6FhYW/+7u/+4u/+It/+qd/WlhYUCgUW1tbf/mXfxmNRuFxR9GlsNutPd2Khz3dEk1+44MPvvn+V//wa+9+9Wtf8YX9fX0Pu589VvQowKBxk8M3ObJEuDejvo1MdC0fW8/GlyOBSkieD/sgk6ggcfMB73oisp1JbGdj2+noejy4GJTKMjcn81Myn/fyKR7EARGlsBiNJ2gsCfAsS0yKIMvTSY5J8XyawioMsi/iVYAcseS/YTbVoegf0minXuvmP+SQD4Nu2+6YbbO8QxFvcHiDxtZx1zTpTLF4nKHjNAiTeIpnMyIfA1QYxyIUEQNUnKFhd5IEeIrFUyyeFaisQCUAOsGzpaAfPtmzAhWjPPDHEgx2f3oPwT4OiASDhwEeIfAEQeRJfMvjOXPYj1DLGeY5ctm3PJa6274NXJMhTzGErobJ5SC6HESXAtiyH1sO4ksBbD7gKftcZb+74HUU/Z5SAJmTXdOifVZ0zYqugtczK7mzrHVCtE3LzlmvczFMLIWI5SC+FqFWQsSiD1+UkWXBvcU665ynwaP7DDUJiDxLzsek1YnQfjK6k06ux4NrsQCc3m+n41uJNiNvJ5PYudOPFQLijJefkNgsT09LXI4jMww6IeIzXmpGAjMSOycLUzw3wTI5FmR5JiMwKY6Gi4xpnJwmiZSA7+BYncBOKbzBYoc8Vmc8RwJ2JGA14N5HLLuWkX3TcM00cjg+XBsebBgGT7TGE63xyDhUHxmpmsaao+P1oeHDQUPdaDgdGmwNj9yYTDd28886rD/rcnzKbn9ptt6YzJfjY2ejI+fjw62RoTe1hmul5kY5cKMeuH028PKpYd1smQBESRbWk6GdXHw7Hd1IRDaT0e1U4rX1fEd0txwJloPyrJefFtkJHuRYCp72kgDPCSAngCxP5yQmJzEZgcoIVE7iINS1O12AxRgsDNCK2743NnauN1zqtWdGLezp4Rj/tXo9md5g6CD6j8m67bD8WgZDyzB4otUdGw0X5vFjBjtl8COe2OfRfdp9wuI1gVpkkRJLrYXkvUxyJ3u3kA5IRb9YDvlmZK7oF9vz6kx0NxvdTodXo/7FsBdi4aSXy4qgPQyj0TjAkgyWBliWJfIcDV9+hieTDLIEsAZHw5DlE4Dt/9SQvlMnADsCKPQIOuDu1GsMesSDYwY7FrEDAdll8EUKXwiIm8nwZi6ykQ2vJkMLEbnDJy34pVLIuxwPbKYjW5noRiq8Gg8shf2lgLfg4+ZkfkpisgyZoLFXazuaSALyPtLnaTyDe86Ng8eDxgud4WzQcDpkuNYbTod0N0b9ybDhaMh4ODLYpDw1Bt1jPFWAHIOPAOlrDAqRfhe4X0P6zvR+nnTOk04YarfJYHsCdSTSVZHa5ohtjoDZtVU/vS22kb6CWyHSwySec5GGDjmfSQZe+tlbGdxI1DVHvullb33sDyL9rZdpYg44vW+YRk9dpgub+cbiXEAcEOkdDpvNZiMIgqZpmF1L0/SjR4/aPX1XV1d/fz9N0wAAiqIg0t/PslvHPfeRvmkaP7Gazgn3lQwu/cyVj4FLhY7X/YsA92aAf+nnXsjMW0HhkzEZIv2FREGk3wMo5N53pveQew/t8+AMf08gdgR8Q8CWgKeM29cw54RzeIawFhA79ry//8HDrr7enp6eR8rnv/qrv/qt3/v67/7WV/7bl9/5D5/4hHLg+aNHDx4+fKhQKHp7e2VZ/pd/+ZfFxUWFQrG7u/vd7373G9/4xj/8wz8sLS0pFIqlpaU//uM/DgaDPT09PT0942bTl9/5yptv3kIvnWwi+u7bH3//05/54Jc+/0fvv58ORBRd3Q+ePNT29UUclgJPzzHYbia0mQttTMYWkqFSUJ6T+VJAKge9pYA0H/AuRwIbyehONrkU9i9HfdAHd07mp71tklGcIaMUFiHRGI3DJjjNkjkBZDiQYpm0wKVpfJZCdniyzpN1gP9rkR66dd7PsIfV9tH7UEFfzDbStx1p7lLvDngCxnat0p5Z4MmyWBKQcRyHO8UkS0QB2hbIATQlUGkajxPuNMAmRTAlMcWgVA7LkyKYlcSNdGo1FSuH5UmZTQAUMvgiHBbhsCiLRxgiBogEdFIDZIIhIwwVJYkYhqQ8ztVx05Fx6HBUfzQ0uDOkXxvVV4eMW/bxvGCd8bmWvVjB5y4H8IUQWQngJZ+n7Ecgz25Odk3y1rxgnZTsecGa5cwTrG2Ss88I9hnBPsFZpkX7nOwq+5GNGNhJcGtxaiPBrkfphQBW8nnKkmtZcO7J2AHn2QJEFuATAr2SDqxNhveT0b1s+p6orE2834xH1qOh5bB/ORKAesI5vwAFY1BiB5E+DZAkg6RYNCtQExKb5+gsQ6YYIsWRKeGV7DBGkUkCCVPOTZO1OjZ+PDp2PD5at47W7aZjl/Xc4zh320+spvrI0OGg4cCo3xs21I2Gc62+pdK1VLpzrb5u1O+PGOpGQ91oaBj0J3r9mU5/YdC3TKPXLuun7NZPOR1v2x03JvPZ8Mjp0ODJoP50yHBrHHxbbXih0r4cGLhWDVw/U171G1bt9gmOLgW8m6nYTi6+lYqsx4NbieheJtk532yn4xvJ6GostBQLLkYDlbC/GPDOePlJgclwFLzPMxwVp1CI5SmGaEvLeCoj0NBTJcVQcdDmaYYBGgbogsN2MDJ6odNd6rVnbQG37sKgve9rCwt25xc6XccBt2UwdAh3P9jrw7o0Gs612iudvmUwnOr0tSFDwzZ2jNnrLAZ1XLusZxe4j1hyT6BmGXdJZNYi/r1cajuTWIwG2lSMkLfgl2Z9PBxZb2dj8BIthdojfegekxNAiqNjgIhQGDzrJwEOL0uWZzIcSLNMRqASwFOmkX2OrPIkRPqPSi/+Y2APRjYf0q/8cessTIMlqoz7jMcOac88QGZZcj0a2krHN9OR9WRoOeorBQQ4rp/18ZNebikWhDC/lgguReTFkK8c9M75RKgwhEc9SEOOMViUxuMUngRkiqOhvD7PUxkGTxKe5tDw0dBgS2s4M+qbRv2FTnNkULd0msvhwbpOu2/QneKuOovtMZ4D4IFhwf9+pD+kPXuUCyL9AUD3SXQDcy0gtjmPueAxlzBbhXCUcTvMYdkA6J5A1b2gKrM7PLnNETscticQtQDY8iJF1AqRfo12wNkM9L2HcPnpdPCln33pZ98McC9kBta9aDu2g/QnbuuF2dS0WBqm0abbfG233pqdix6H226xWsYcDpvVaoVIT9M0QwMcx9v59N2Knq6uroGBAQAATdMkSbIs+4NIf2MyN53Wc4u5aRo/HR+D/ECI9Jd+5jYk3AY/FHLTOY+8GeA7SH/ppRs8WmXRfQZbo11lj6mImCqIuSpSDQlA9R2M/Nvi0A0WWeOQZQYpEvZpj2nJM15CzbO4Petx6bp7FYpuRXf342dPr44av/eld/7gN3/7G19675tf+wBgGNy5K+6sAs7Pz//5n/95YWHh0aNHX/ziF7/3ve/96Z/+6d///d9PT08rFIrFxcU/+ZM/yWQy0BL46OT4f/3vvzm/PFMoFG88ftjTrSjZXAeC/OWzy//5pd/+/S98hXbjvQrFU4Vi+PmzJEsthKSddHA3F9rKRwsBseCX4S0Oh1clWVgIyiuRwHo8XAnJlZBcDoqlgDDr4ye8TJqnEiyVYMgYjUcprG0UAx95HJXhQJpjMzyXAVSe8KxyZE0ANfpfzze5y5eDKvkO2O+T6D75Gsa7Otn2bQfsjmGWAHM5sR2ArDBIkUWnWWKCxvMokqfxLMATpCcB0LwE0hyRYvFCQFxJhKEofC0VXY6HNpLRjWS0IHFzorCbS2+lE5CLnuHJOMDiLA6RPsLAIuIMGWfoBAuiJBECZJymUiSaQ51rY6NHWt2BQV3X6w5NQ9XxoROt/mBkuMjZp4OesujJi64p2V0IYOUAXvR7Cj73nOyYkx3TsnNCtOVF26TXkROsWd4yKdmnvI5Z3l7wuoqyu+TzlGXPvB/diFF7KW49QW8l2LUINe9H4bS/IjpWZc8O797kyBxHTnvZ1UxwJR/ciYX2suntdHw3m9y9I2Nup+NrsdBiUC7JQkkWoEp+RuagFVqGoyZ4Ns/RGQaP00iM8iQYuJpl8iLTdlDhCMhthCVKdIhBw5Rzd2j8RGu8GtDeKDXXSs2pRnuu1V9pDDda47XGcKnSXah1ZxpdQ6870eou1RoYb3+pVp3oVFAsfqLXnut1LY32Uqm+1Ghbo8NXTsubFuubNtsLq61DuToZ1Df0mnO97lqja2m0b6o0N2rlxYDqXDm44rBP8Gw5FFhPx3eyya1UZDMe2k5G9jLJzXhkOxmDfLTleKgclgsBcdrPF0IyXFvkRQYKSiEFFc6xIMJlRQDFlhmBznBsigFxmorSJBRewuuw6DAfjgxf6HQXBm3TqD/XG2BP/4Mw38mpeyWvv2vrr/WGjhivbQJj0DWNeuif31SrLzXalsFwbDQ0LKPHpPNIQGsMegTQkzs3xgZHr7FEjnUvh+XtdHQ3l1pJhEsBCbIQSiHvhJeZFMGsj1+I+Nfi4fV4cCXiW/SL5aBY8AlwOZ0R6CRHxwARottn/TjozK5BhgMZjk2LdAKg05RngyWqPFln0Ab90w2tbz9hOl4dbLsBbZPyGKLKes4BWqOxCeCaCQg7qcRuLrWViiyH5ZKPK/iEYlCaCQgTXiYrUIsh32ostBYLLEXkxbB3MRqoRHyzsjAhsdArDMI8vNWhM2aCIeFpD056UiyeID210fHa8PClRn+u153q1WcaVd2gOteqbweHTvT6xuhwk/Ic8cQ+ixwAT439VyP9D70OEOl3aNcujRzQOET6eY91zmMuodYiai1hthJmg3K7dQbd5oiqCKoyuyfSewKxx2IHHFqVqR0JKyCWEmp9Dekvve1+/ZNJ/6VEtrxUG0Zl7pWSHvrNQ997CTTd1kuT6dRsPh5/hfQLbvsP7ekZGhAE0d3dDU1huxUKhVKphA39T0R6qKc/s5ovCc+N9xXSd4zw7hv2XvmYl36ug/QtGTR49JBBDjlig/FApC97THsCcSTTDS9Vl8gDidoTiC0OXWGQJeCZB+4iYZ9GzUVkrOQ2F0nEouzvUSjeePTkYd+DxaXy//utP/zDr3z5W++89+0P/ns6EOlSKB698TiaitlsNjjAX1hY+MpXvoJhmEKh+OCDD/76r//629/+9t/+7d9OT0/39vZubm5+5zvfCQaDkJl4etb8X//7bzK5rKJL8fBhn0KhGOtRZFD3f6od/tl77/75t75VKRS7FN19Dx/0dXXjpvHlROQgH99K+tdivqKXL/vkcliekbkcQ2RobIqlil5+KeRbjQbX07HleKgSkmZ9LBzOp3kqLTBwNhu7M4qBlWSJnMDmBDYjMCmGyBBIBeCHAvNvQ/oO2Hdsdg5pD/THvas75xzGfQBQqKy7/w81OLzBEDUG32ewTQZb5YglllgAxAJJzBFokSGnaCwP0GmRnpFA2c9vp6PV6fxONrk/kTmYzG6l4zvZ5E42uRCUZwV2J53cSEYXgnIlJE972SRLxBgswWBxgMYYFD7QIwwRYYgoS0dJIsIQaRrPU9g0Zt8ymU6Mg9VhQ9M6WnOMN8aGTjXa2vDgMnDk/c4sZ570uiYEx6Rkn5Ndc7JjRrJNS5YZr3VGckyL9imvY8rryAvWCdE263XOya552TUf8CxH8JUosRIlNmLURozaitE7KXYnwayHqaUAVgmgRdldEp3zgn1b9KxzZF4Cc35hNRNcyvp3YqH9XAbav+zlUnBcD5UXFb8EXyY0/Z72thv6DtK3Q30YHEoNkxzd9hVgcVjwasQBFmaoLI5OoI5j4+iVxnij0l6p1VdazaVG29JoYcLbtVJzqdZAu1CYcN9SaS7Vqku1qgXzYNQDZxrVhUZ1pVbfKDUv+tXXSs3V0OCVdfzGZGqNmy5NprPR0ePhoebI8NnoSMOgrw8bj4yGhlF7rdG0NOpTlepEM7Tick/J3vlIaCOT2M0mIQGlvbBPxuBBZz0RkvlzoAAAIABJREFUgXKD2aA4ExCgDhPCW1YEUGCZZIk4jXSQ/s5TgUiyVBKQkJgZpckYoOKASNBYikaXbWOHI4MQ3U+GDU2j8cyoh3v6+xN7uK1vDRqbRn3zXst+f7b/Q5H+0mhoqtXnWu2l0XA6PHTqspyz6ImEH9PoKe46Iz1NDjth8QMCXaCQCS+9ngzt5hPbmUQlJM/JPLRMmJTZLEvkODLPU3MyvxT2r8VC6/HwRiIC7X5hQ5/mqfZUjyZjNA6XVglAJxmQ4UCWZ3JCG+mzlGeewQ456gjgMLrio8L1TmrzD+1x2wle8Mu2eo2oCvgRhdRYKst4SongTjq5k01tJaKLQbno5YtBqRAQIcxPiqAgcUsh32rU30H6csg37ROgtgJaaECkj7N4jEGjFJJg8BQHBxs0VB4maGzLZNkZGTnXtA92LYPudET/wjh4pdM3h4fOPY4mQOpsxx7734v08JpUAbJHOe4j/TrqnPdYC6iphNmKd2BfIRxLtHuV9qwBZJfGDnhqTyCqPHnIYFUWrUvkLo9CpC9jlnXg7CB9S2Zv/OzLEP+pVOBCJC685G1IuAlwV74fifTnblvLbD41m+vjI6cu06Xd0unp7+/pIdLDlPre3t420nd1dalUqg7ScxyHEajDZv+hSH88Pto0jZ9ZzS3MfSPS0CPvJsBd3SXYvpIH+NmbAHfrYz8V970Z4K594MrHQKSv8uQGQMuethXwDoc0fPSRH1Rlak8gtnlsnUGXaPcC5anQLphJP4GMl3FnwDT6oFvR8/RJj6Lb+PDhN377N3/vN37pq7/8ud/9rS989hNvd3V19T1+1Dg++q0v/qZKpYKmQF1dXU+ePIHD/Pfff//73//+d7/73e985zuhUEihUOj1+nK5bLPZ4FLfbrf/7M99NjeR7+nrHR4dMVnMPQoF47b+0W/+l9/9tV/+4J0v/dZv/IZ5eFTRo+ju7h14+CjDc/sTmZWItyxzFb9U9oozEjvBUTCbpCQLy5HAeiKymYotx0MLET9k4+cl2NPQybstbAfpk3citCzPTEhsVqBSDJGisFmK2Oao+o8wxvpxNzQMo/vwgR2a6NWYDznuQQpuxzDrtTph8SOWrLPEAYvvc+Q+R++x1C5DrgKwJvJFhpyk0LLMbSbDe5n4YTaxn0/u5RKHk+n9fBoyFfYnMhvJaEHiN5PR9XgYjrWLQSknAMhGbBdA4wCL0W3f+zSFpShskvBMI445l2XbNHY6PFw1D9csQ1uWwf0Rw/6Ycds2soiN5yXLpGwr+Nxzkn1GsM6J1oJkK3rtRZ+jHHAVJPucZC94HTOSbVq0lv3u5SixHMHXo8RqGIMAv5Ni97PCRoxaCWGrMXIjQq4E8CUfuhDAyn6kJDpLvG1LcK8y+JTElELelXRgORfYT0Z3M6ntTHI7k9hKx9cTkbV4eCURXowGykHv3SzHO+vj4QkPjiVhcw8Zi2meyoogJVBxFofWSTEGS3AEHN3HaDROoSkMnXG6Cg7LmXawpdJdKpWXatWFRnUf5q8G1JdK9YVac67VvjmgfaHStlSac5X6XK28VCpvlKo3B9Q3avW1SnWtUt0OqG4HNDcqbWvQeGkevTGZz0dGIcxXjYaTsdFzi/l4dKRuGauZRg6GDS2N9kKjamhUDf3wMuqeksX5SGgrnYAnG0g83MkmN5PRjUQE6kshzBfC3kJEnvGL0G4Bmj3nJAYufeI0Aif5cGEBR1zw7RCj8ShNwt1tmsKyBJLHXOuWkcagAUbYnQzqm0bjhcF4ZtTCEf39gu37a8P8DiPvx0zvOwv75sjwud18jjlPCeepx960m89spqbbeuSyb1stFcwzFxHX05GNTBR6+c3J/JxfmJTZFIvnGGJaZIp+cTEa2EzFNpLRlWhwORKABgmTIshwFKRbxhk6SpOQfN5B+hRH5wR2QmLTPJUBRIr2zAL0EFBHAD+kPXXmo1PZ/WgfjgaHd7yxofNmg8PrLFXlyV0a2RboGYFaSkU3U/H1RGQp5Kv4JehvmJdA2xjKL0Ki0k4msZ4MdXiI0xIHz3zwfogDLMHgnbY+zrb9gOGqHr5NFp3OdbPlXDd0qdefGdUto+Z0SHdrHGyolUejQ+cUUmc8h0zbIbTKuD8qpN+nnRDpDwGxT+AQ6YuYGSJ9AbGUMNs84VikXLDWcdcWg+3yeE2gjnjiiCeOZHpPwIqotYhYINIfCO0Q8Esvc+NnXob4T6eDVzLd8tG3IeEmILRk9j7S39zFyN2I9IXHfmWxNC2W2thwwzl2bjXdmp1LyCtGnsPhgMx6mFIPAOjr62sjfXd39w9FeqvL9oNIf2IaOzObzqzmizvrexid26HjvRbC80JmOkh/7WcbPHoAPDWB2gRo2WMqYuaCZ3wdOPcEbE9CtwT3BuNZB+4Vyj1PuiuEq0K4yri9iFqLLDJBuQ0Purt7exQ9vb09XUeFmX2/0Bix1hzY5KhFo1D0KBS64eFvfvuPf/3Xf12tVkM6veKOndfb2/vuu+9+97vf/d73vvfOO++Mjo52jgIKhULR1bYL7FD5qtXqpz/9aUVXd39f79Hk1J+/85Xf+eL/+cdfe/8zzdaDR32K7q5ehcKm180FfZWID67ni14+Q2M5hpj1cgsR/2YqBl3QN1Oxsk+EKiMYY5Xl2xgPq/N067T1aZaekpgMj6d5Ms3SEyS2AfAftX/6iTd0J/gBGt5Bp63XMP4uy+5Df23nv94T3RJ1gNcBXmXxAxbf94prHJij0aJIbaSC9ZlMfTq9lwrXJjPHsxOnpenqVAY+6aCRe0kW1mKh1Sjkr4UXIv45nwg7uU7flqbQDIFkcTSDIVM4Oom5i05ryW6uWEf2RoZOhob2zEP7Y8Zt23ANsWx5PZtBbNeLLIXR1RgxLzs3othOktqKY1txbDdF7mbAVpLcjoOtBFiPkgtBz1IYPcgJjWlfNS9uxan1CL6doNejxGac3kwxCyG07HeXQ+75ILLgQ8qypxLAi37PnOQsic4twb1EIVAHv5L0r+aD++nYWjyykogsx8OL0eB82Aed26FDDrQKmfMLkyLIcWSWp/MiAwON4H76/tQ6weBRCotSGLQPijNkjMbjFB6n8CyOFt3ussPS0hphQPv1gPJ2QHXzXHXzXPWiX33zXHX9THn9TNn+UqWF2H81oG71q+An10rNjVJ1rVK1VKoblbal0lyodWcGY3Ns5GZs/HJk5Hxs7GRk+MCor4+PNe22hmn82Gqpmcf3R4wtjfZSq67q1QfDQ0uEe1oSFiPhrXRiOx2H6L6eiKwmo4shH/S2g696JiDMBsXZkASjmaFkHDJR2u0aQLNC2zSmjXaQkgnapsgxGk+TRA5Hpj2uObdje8x4otffqNUtnebMYLzQGVpaw4VOA51ZOwWjz1pa3YVac6HWXGraKvmfqLA/M+rbvu5GfXN46Gx05Hxs9Gx89Gh0qGnUn+q1R0P6xujwztj4MoEtpiOb2dhi1FfxSxDnZiQ2z1NpjpiT+cVoYC0V3cjEd7LJtXi47BOLXh5qa2FyXYppo3uMItsiW0DFGTrO0EmWyvL0hMSmeTDF0gkGm2CQA5o8Avghg3yESP8THxr1e9rdBofXOabKkGscVhaI1aB3IxlbSUahZ0DZJxZ8AgwhzHFkwSesxkKdZ+BaPAyRftbLTwoMPPK2bRJotN3ZAyx8h/RJgGcAkWcpaBVcwJBFu61pGD7X65oG1blOeWRQX2t0Nb360DR0ymH7rPuAQ+ss1oDkpH8r0r96pZB+D1y7wN3u6Ql8DXEsILYSboENPawyZqvg9nnCsUA6l0nPGkDWGc+egNUl8kimj/xgk0NLmK2IWEqoeY123Ef6Kz94EeIg0l/J9G2Qv/HxV95XjvcfyqcX6XO37cpiObVZa6aRunOsaR2/sTh/kHsP0RxQNIqir3p6iPTwFNCZ3t/n3v8QpDebmk7rNYO3I3e84M0AD1l4L/1c53/x2sf8eKQv4ZY599gSaV0HzjXGPk+a1mjXKu1aottIX8ad8BpNeGyMeehRj0Kh6Fb0PXz0uPczB9tVxH42bKrbXMEBta63V9Gl6H765D9+/hemJ6e6u7s7Kru+vj64tn/33Xf/6q/+6s/+7M/ef/99q9UKBXg9PT2PHz/u6evt6unu7e2FC3uNRvOFL3zhm9/8ptI43KtQiPqhL7319h+88+Xf/+KX/uS997P5lKJb8eBB70OFwoe4S7FQISTP+vhZLzPJkLMCsxCU1xORjUx8NRmBjKSFoFzxS9Dpc8ILd7EUfLR12voY3EcCIkrjCRqbkpgsh2QEKiuyOQJbA1jjh93BP/6G7gTPH7Hk/eoEz78KsmOIH5r2CPdzcF1X47AGix3TaINGagx6yGN7klAm0QLA1mK+/ZlUdSZ9MJHYz8W2YsHqRPpkbrI6ldlIhZfjoeV4aCkRgnOO1ah/Mx6CzV8pKOcEEGGoGCASDJ6hsTyFTWLIFOKZcntmXc45l33Ral4xja2Yh6pDxiOjcXPcUBsbOvSYjwR0dYrfmg9cTgUOk+y6z7MdQVrFwCc30h9fS761HHt7PX27kjgvhU6n/ceT8l6aXQkia2GsPik2Z3zVDLsVIbYixG6KWQ1j8wH3fBCZk+wFn3M24i5H0EoALfk8JT8243NNi/Y5wbHNuxdx15QAKiF5OeFbzQf3UtH5gFwJtY1QigEv5GpM+/mZgDAtMu1fukBnWQI29DkBZHgSIn3bHpElkwBPMlibt0HjEOSiFBYjsRRFTHmQBbtr3jZ+odZfDKguBgYgWr9QaV+odW3YHlC1+lU3Ss1LpfZCrblQqa8H1C+eqV4801w911wotecq3VX/wKVSeaFSnqvUzQHlkVJV02pqg8br0bHW6GjLbDodHzsw6qtjoyc2++H4+PGoqToytj80+EKtu9ZpD42a/dHhCuEq+OXVZHQvn9lOx1cigYpfKvqlgl8q+AToGQC5adD6d1JmOwR7+HphykMS4AmA5kQ6J4AkuOebBOgoQKIAjVBYnMIzBDqFowWPs+K2748YL9Sal/2qFxrNhc5wpTHcqPTXGs2VVne/WhrtpVpzqdZcDKguBlQtlaal0V5pddAM51Kv/1Equ2Od5mJ48HzIeGrQNY3Gpt7Q1OoudIaaVtVUq5vK/mOt+mRoqG627XDs1kx2ZyJZDoqzAlP2iRW/NCWAHEdOyuxaPLydSWymYqux0HI8VAn55mShFGj7xE3wIMuQKebVkiIOMPh7jwEqBog4INIsmRPpDAemOZDiiCzj2aeIY4bYZz9KpP/xiNjp5utsO9enwbMHNL4k4RM8chCP7cRjS6loUWJKslj2STNePsOTOZGGVMSdbHIzm4SmSWWfCKMuin5pSuRhDha8B2IkEqUQ+ACMMFicxRMMnqKwDI3nWWqSB5M8mMTRktN6ZBzqIP2pUfNSa2iMGPYtww0B2+HdVQGHYdwNFvlIkL7GoPeQntzDsTXEsYBayoS1gFjae3rUWkQsRcRSxu3zpHOB8ixQrnnKvsG5D0W8LlP7XmKRcpRxexGxFBHTGu04FHHIqbyQwHWA6SB9y0u9CHC3Pv6lT3pNZddB+jOX9cpiadptNfNozT3etI5fW5xLmKvDyLPZbBDpAQAsYGw2WxcMcoUfarWaIAiYT88wNPS9fw3pIff+ZGz0dHzs0mZt2i1XuAdm17Zk8DIk3IaE6xB3HWBufcxbfv7NgHjjEz8RlT8e8b4V5G/8zIWXrHPIIYPUBGqNdpTQ8SJmLhL2WdRSRK3LpGOFdKwStjJmK5GuAu6Yc4ws4rYZZHyatpdtuKJP8UTR19PTp3ioyCTkb/zMZ4oqzSdMtvSo8Y3HvX19D3sVfd2PHg2ODw/rdG3V3F2DDlH/61//+ve///1//Md//IVf+IVnz5719fV1dXXBH+jt7e3q6oIRAF1dXWNjY7Va7Zvf/KbkC3f3dukf9aTs9q9df/IvvvTB7331a7/0K58bePSgq69X0aUYHlCVQ6FSyDsTELIAnxb4haBvORLYTEY3UuGFoFz0i7OyUA7KsKGf9vOwuUkxVBLQ98H+Fd7TeILD27kXIpuSQIpFi6S7yjN1gNdYT5Vz1zmkwRDHgGqwWI37V5N0fnA+3xbjMe5jBjkGniOAHvFEQyBqHFFniTMGOQCuTQ7d5pED4DoCngZDHLDkJE/mAboQlLfzqe3J9OFs7qSQr2YjG6nw3kTyYCq9lYmuxgPLkcBiNLgQDk2LTDnoXY2F1uLh1VhoJRqqhHwFn5hl6BCPBzgsReBzHqrsQssO65J1dMdsr9jNBfPwyqihZtDvjxjPNYa1Yd2WdXg+iGzEqL0Ec5ATqiluMwVWY8RejjjMU/Up5miGa0yzjQlwmCH2U9heAuwnmf0ksxund2LUbpzeS4C9BNhO0NtJsJ6gFiNoKeAuBdxlv7vkcxWCyLwfrfiQuYBnIuie8DlLvGOVsm95kU2ATspgLiStBnyLUd9yWK74pWJELoS9cyEJFlxOT/t5KC/MiXRWoNoxHiLISQykXKXZNvmok+4DtcVxQECmQpxCJ1BP0eksOZxLFtvquLmuN9Z1yuuB/kul8rpfe6PV3mi11xrNpVLZGhi4Vqlu1OpbteaFSn2p1jTV6qZae65SX6o1FxpVU9N/2//8WjXQVKvrOm1t0FgbHm6Mjp6ZLT9vsX3O4f6cB701mWtDhvr4yJHZdDJu2bOa6yMjpwbjpV5/o9VeqDW74yMLDDodECsh30o4uBoOQkI1VJcV/NJsoF0zfnFC5nISyIptdgK8FDkR5rZRCeYuxEykoT1Oe13NMCmKinFUiMdTFFFAyQUXWnbZZlHToXH4VKN98Wzg5XPljVJzqdRe9atunw20SQlK9aVSDdH9YkB13q98U6V5qVTfKFVXSuW1SgXJDdc67Y1Rf2k0NI3t+f+13nCl17Z0mjOj+tKoaw0ar4aGL4eGLwaHrnT6a43ufHz4xKC80ihPRoz7o6OziH3ex65MRpaD3opPLPvEUlCGuQ9TElMOejfjIegM2L4sPmFO5stB70xAmPLB8UZ7qtfxhosDSEQlozQepZAUQ0yJ7ASPZThqyidnCHQeIAcCDMYlO2HTRz9i0f7vLR5vh8Lx7WzuKutpCFiN9eyJ9AIHplhqIxPfyESXInLZJy4EvBW/BFO5Z4Picjy0Fg+vx8NLYf9S2L8Q8UPh8ayPn/HyEzyA9zzM7oPburuFPRZjUBjzk2KIHEtNcuwUz0VZfMHjvjKajo2Ga5XqXKt+S61vGQYPXeYG6jym0SZPN3n6zsvvIyMt1mgMmuccMtge5Vn12CtIm4jXXtUjliJiKaHWEmqdR20l1LxA2pdo5yLlWKAdi8C5QDvKhHUKM8+iljJm2aCdhzxWY9AjDj+XmSsf91bU+7GYfB1gziWiJYObAHcTEGCc3ZsB/kWAu/IxMFDmBUee2Uwtu+3EZj0dHzt3204d5mu7bdlj8dgcVrPFarc43Q6SxEkCEwSB5Tm1Wv3gwYNXSK/T6eBB4Cci/al5vGkxnTmsJ3bzGeq8FcGLAHcbEqCz/ZUftHz0Cxm86eNuffyVj7v00jcB7ibIXvjoUy9Rg6ZLErHGOIuIaQYZn8EsU4ipgFjmCccCZl3CLUXEMofZ50n3Amadx0xzmLkiEahao+hRPH3wxuOHT590df/8p9/+8/d++1eOj1sWB6/q7+1TKBTdvYpeRXeX4kF3j0LR3d0NW/ne3l7YqSsUisvLy1/8xV/87Gc/Oz093Yn26Xwo7v0peDgwGAzPVdpeRdfjXoX1jcenXOAPf/lX/uDddz/48pdmMilFt6LvyZNHCoXX6ShG/dMBIceQM6KwHAkuRwKLIR80ui8HvcWgNCcLkzw9IbQfcymGSDFU4k413nnDpzga2srGWSzNkllAZHkm7WXSHDZDejYAccSSdRaDGvcjlmwwVP3fhPQ/qvY49yHf9sKsiURDIBosdsbge7R9n3VD86ljBjkR8CpPrtNYhkFnBGozGa3PTNRmJmqzudp0ejcZ6iho1xLBtURwJRFeiATmvFIGELNevhLyLYUDq7EQjL6oRHwZqs3NydJUjiLzKFK2mneHh/d0Q+sGw6pes61Vnqo0xzrdtVK3PqLf85iXIvhqGF8LY1sJei9Gb6bAZgpsxNGNOLoZe1UbUWQjimzFqe0EvZ2gN2PkRpTYjJFbcWorTq1F8LUIsRTGyn53wecsBdzzQWw+iM34XAWvqyx7iiF0KuCe9DoWRfeehG/zyCaJTnjp6YC4GJQrEe9CUC562+b/0z5hSuYnvRykFmc4CvYusDrGZ1kRQDcYGFEKWejweZeiiDTZRvoETWRJbAJDCi7XFO4peNxFp3VvZKRhhJo31c2A7kqtvtZortTqK6XySqm8UathnStVJ0plTdlf7R+oP3t29PRZ7ekb1eePjp+/caLsb6iVVY36UKetGfTNkZEXdvvnPdjnPdjnPOhbZsvJ0GBjdPjAaNxRaw5Ghmt6Y0OlOVEqz5UDJ0rl1shwGXdN+YViwLsY8C0GfBX/fZdfbsrHwSvQodmneQoifU6k8xLoIH17X3O3p4/RaJTCYhSZAEyKopKAjFGeNI7MoNgcgk2hjhxh2zaN1Y2GqwH1y37VC5X2Uq1pqTS3AypIPrhWqeB1uFIqWwMDrYGB2wHVjVL1QtW+LC2VCo40LtUqONVvqfXXGsO1Rnel00M3njOj9tJoODcONo3GptF4YdC3tLpLjbZl0N0O6XfH9Uujg1OobV5glkLeBZ8075dKAangl/Iik2OpWS+3FAuuxQIrEd98wFsKSJWQXApIs15uWmTgy8/ydAfpO4d7SDtP8SDFgyRLQA7HJItneTorCVmGnCNdOwJe58kaQ7YHdZAS/9Os+wP8Boc3eHSLxQuAyNP4QsQ/H/bOB8VSQCrJwqyXy/NUTqRLIe9yPLQcCSyFfAtBeT7ghVdgRmKnJAYGerWVFwzemdvDbX2SJ5IsnmDakuMcS+VYkGNBTCAnaHTdYd2wDR+N6qtmw7F15NBjrpPOOtVO+TsW6Pah56N7HtYBDpH+AKB7lGcNcUCk78ztX6siYqng9gpuL2O2Mm6HMrwCYpnDrAXEUkHMq4QNiv6POLwlsx+T+E8EpU+GvG/52FsZQGl6S6Cv70hvNwGuFWBfBPlbL3NBejpIfzI2euayntpMVzYrRHqbxWq1WxwuO46jBI4yDIOTxJMnTz7U0w8NDUE9/f0sux+K9Mc206nNfO60ndjNTZftmsFvRPqln/tkQPx4QHwrKLz0s2/J3Jte9oXMtSTmmMdaAfYmLFwEwLFE7LPubeDaZj0bLFJCzTOIeQazTHrGZxBzGbOVPZZ5xFxELAXcsUi51mjXAm6uMO5ZDlE9e9jT06Xo6VF09c7I4d9777e//d57X/j4Jysjo8O9UFbX+6jr0aM3Hiu6FX1d7Yk9VMlDCH/48OHDhw+fPXv2/Pnzhw8fwlwfCPD3P7q7u3t7e+GfUigUit6+NxS9ip5u/Ru9G4OmNRH83//5N/78d/7H//HZ//D4ySPF40d9Xd12nS7GUWHKM8mDclDeziTXE5GKX5oT2TmZh+kOs14+z5IZBs/wJNRZpVk6QVOdNzmkHKd5kBXZnMTFWSxBY2kKy3N03sumeTJHu4s02uBBncXqjOeIQ6H3e53F6h+dk8YRQI8ZDPrJH0jEvogfAleDcu3R9oaAHfPEMek5IVynHLHDk0XSnWSQxbC3Npk7nZmqT+X3J1M7mdh63L8caetqFiLycjywHA+VAt4pnkuz9JTIT0vcpMBMCsyMzE1JTIrFcxSZJbEJipjg6LgIIrRnzjLe0A3tKweq/QON589rymdnz5+fKVUv+rWLY7pt13g5gixFsfUosZVm9hJgI0mvJ6itBNhKAMiw24hRm1FqK0Zvx8FmnNqMUxsxai1CrISwlRABazmILgSRit9dlN0w767k8xRld160zUiOOck563VOeh3Ton2Bd26y7gMO3SLQvATyAaEU8BYiciUkF/2vMB7CW4aj4EA+w5NtsOdficUhGa3zmIPO/3GAxSk8RRF5nIgBIswSEyQ+RWBZyjODuJMsngZYknAtW8arg/q3+9UvlepbleE+wsGetaVSXQwMnCiVddXAvvL5/vOn1WdPq0+eHDx5tPf00W7/Gweq/ppqoK5WH2t0J1r9xeDQrcn8c07k5xye/+RCP2Gyng8NHQ8P7Wk1mwP9u6qBav9A9dnz6rOnpwPPT9Sa7dGxEurOe9k5n1jxe8s+aU4WZn38rI+Ha9oJ7ys8g+P6NN/2ybmP9BDnoL60zb+jsChJQKRP0FSawjKoM484J3E0T+JxGokxniWnbXds+EyjuVGqbtTqS7XmUq26Vg10rsP9gmwGeGUg0sNvXgwMnKhVx1r1iU5zqtOf6fQnev3RkL46Zjgd0kE33KbecKLXnxoMTYPuUq9vqTQtg+52yLg9ZpgfG54kXBWRqfj4sk+cD3hLAe+0xGUZMs+SFb+0kQqvx4NlPz8nskW/CKkbs14uxxApFk9zRJolfxTSpwUmJ3FZEUBdxgSD5QQQ5+mcxGQJ5yqHHQpkjSHrDHrE4TDc8v7A+adUr/4JiVwD2CyFTbF00S8W/W37kBmJhQENsz5+KRFaSYQXg3LFJ1b8Eux2SgFp2nuX0M1Sr+75ezDfievtkFXhLZRmyWkaZAFexF3rhO3MZW1glmPSWRcQGOt3yCA1jqjyZFXAaxxW/QhzARjigEL2KA/MCllHnfOorYTZoNCujNnmCQcsCPAdmC/d0fI7P1xCrRXEvELadlnPIYMccfiVl/2YxH/Mx7/pZW8k6oWXfisovAwJV162dcdwv/YxMNP2RqRP3LZzq+nabjuxWk5HR84clqZ1/NpqXUGsHpvDYbPbHFa704bjKElgAACn29XucjtZdiaTiWGYju/9j0H6I/PYidU0dJb6AAAgAElEQVTUctov7NYzh7WFus4x1wXpuXI5LhHnGeo8x1xXuOeaQFo0eg7QUw57EeTfinpfBPmmRNZYzx7l2KEd2zy2gFmLqLVA2mcwyxxmLWG2gsdc9pgquH2RRuYJxzJhXaGcCxIpm429CsUbXb09T5/0DTz93Mc+9ke//1//r8/+XMWNcmr10y6Foqe3S9Hbp+jp7e1VdCse9PZ1Mvo6YN8h3HVa9g6ow4n9a6gP+/uexw/fUPQquvse9SlyyoFFzPrFxc3/58tf/eA//5ooMIqe7u7u3qfdXcBli7L4BA9WosG9fHojGYWGuAWfAM+zBZ84ydM5jnwN6V+j48GePiuyCQ5P0FiGxvMcPSGxGYFKsWgWoIcCU2XxOuM5YVFIhq9/pNlWuyKxJxA7XDsBtkm4zy3m66HRY9v4CeE6ZrAG6WkS7hOArQAsRyMTXmY7kzidmWrkswfp5FYqBpv4+bAP2gAvxwOL0UA5LMOpXZpj0yydBCQUUqc5IsOTKY7IsSALiAlATItsSubCLDrptO4OjR5oBk4Hnl8+e3qsfHLW//R04PnFM9WcWbvuHCmE3QtRdDVGrGfAdpRcjKALQc9SiIC1GiY7tRIilsLYcgRfCmMLAaziQ+b96Lwfn/fjFR9Slj3QY6fsR6B0flZ0TEj2Wa9zRrBPMOZJ3loQnRXWXvKMHjLYFoqkWDwhMVMiO+Hn53zirCxBnh2E+c5OOsvT7YYeYp5AwwY3xZFQLv/qMUcTsOIUmSOICEOEWWyawKZJPMWiecod44gIhwdYpGKz7A8Nvv1M81KpvlJrIcOu3ciq1Vdq9aVSefb8eWOgvzrw/KD/2WH/s8bz5yfP+4/6+xsD/VWNsq5WHqvUZxrdjWHoSmdsanVNre5qaPjN4bGfMTvfHjE3NfqqRr2nVu6p+3eePK49f1Z7/my//42a8llNq9kYM82hnpRATUgstLadlri8yOREeoKj8hKAWA637zkBQL3o/asBOQr3VSeQmxKhsBhFxmkqyYAEoHMUNoU6pjHnJCDSPIhwZIgjC4h9wzR6otNAQuKlUnmpVP4opH/tGATx/oVGc6vVvvVEdTugudHqW4bBS73xXG84Nw6ej46cjw+fDxnbyXiDBqi7axkMZ0O6I4P6TKfdGR1aNVumaKLgE+aiMLDAO+cTJ3iQZ6lZL7cSDe5kYluZKET6jo8WRPokg6VYHBpmwKlGZ6QHP0lxdFZk4dQnTqFZgEKkT3uZFI2WALIvsVWGrAEEpirXWawKkJ820neqKlKLNDIHqBmJK/jbLx/SUGD64nzUv5lNrCcii0F53i9Bmh78sWmJy7FUnqNzAri/r/zQUJMh2kQWjmpvduBbiQYhHk9L2IpENDj8kEcORbThJY4ErM5ihwxSZfEaR0Dn7yrzkeUCHLHkAYXskm5oIr6JuyHSFzzmImKBSL9AOjsFGfjzhKOM2TqC+yJqbSM9bl1jnPsifshjRxzekpgzmbn0Mxc+0JSICy95A+PqveyNF9x6mZcScyuCWy/zlsy95KgLj+PCZr6x2ZoWS3Nk5MJhaVrHb2y2VY/VbbVDpLc5rASBMYBiGMbmsHf45m38czgcHMdBpOc4BsN+CCOvvac3jTVN4zcO+7XddmWztuy2psV0YjWdj42djo8dmceOLeNnVvOF3Xrhsl8gzhPM+UKgP+bjX0rMFU82AdKgXHXKtUN5FhHLPGpZoFxlylmmnPOks4RaFzB7GbMtAXSJcC6glhUGmeOJkTd6ehTdzx4861J0Z9Lxb371t77+m5//VCi6aBjUPXrY19sNkb4HOuZ0KXq6unt7ex89egQ38Yp7QT6QhN8Z0Svuzjr3v4TD/PYRoUfxSNHb1/tG34MuvL93zW06VY6995mf+Zuv//fr0yNFT9ejx096FYpRvTIXlEpBeT0Z2s4kliPtOJOiX2yLrLz8JE/neapDxUoCMtEJbbsntINgnxKoJMDTNA7fGGmeSnFEiiM2eHqPJRosdswgDRarsniN+yinVU2WOgFEg0aOOLzJk03MeTw8dKzUtPo1J6axA8rdEIiWQJ8AokIhCQ4vRuTqdP50Zmo/Gd+MhFaiwTuAD68mI6vp6EoqMh/1z/r4tvsby8QoMkKicUDcja/xjEBlBCbK4nEWm+TBlMhnBDpHukpu68Gg7kSpbD19cvL8cfPJ4+OnT66eqipm4w5qLkY8paCr7HfPh9EFr6soO4uysyDZi15HSXaWZGfZ54KfFL2OouzsYHnJ5yn7sUoAnw8SJR9alJGijJT9GPyBouye9TqnvI5JyT7N22YE+5zkLEuuMmsvEKZN3LnksEdIT4QjUwyVgM36nZN/h3D3GvC3W5O2XQyVYO4U8+0NJdFB+higOouMKQKbYvCUgKd4LMkScYYMMWjJbtsbGn7zueZGCWXx9/BMrb5Sqy8GBprPnjWePK0+e3r49Ent6dOTZ8+b/QNnSlVTrT3T6C412iu19karf2kYvNRoGwP91f6Bmkp1qtG+NTR+Yxg+GlDv9j/fev7GzsDTg+dvHA88bww823n+eL//jQO1emVsfBZF4wyZEZgpkYU86vZ8HhCdGcY9pH919IHGSkkG6xigtsnngIoBKgrfAjSRpsk4IHIUNkk4pinPJE9nRDbKgShLz6GONfPoiU7zYqD/tr8ftuw3yh+J9K0Pf3mjVt9qtS812rceDdwoNZcjQ027+cRpPrGazi3mK6v90jLWHDae6bQXOt3V0ODV0GDLYGhpdSfDuvqw9mRocN02XnE6ciw1G5CmY3IxKM35RGjjP+vlIczvZuMriWDRzxd8AvTGhkQ8SMuHZ/1OTw8vQuwO8uFgr6PFgFPAtEgnRSbDURMkti2xeywBI/WO7vX0cKH+U8N4AtaOgFcoZBqQs5I4KwuViK8U8k7wIMOTkKCwno7t5lLrichCUIYspbYuKeCFc3v4HnlNefTqZqBQqE+BcgzospCTmCzDxDgqLeBrLHkA0CrhqhGOK8x9BDx3cXxEnSXan390jMUfRPoFzH5HpP8Q6/4u7ca1SLkWSGcZs815zB3iHpz2Q6TfE9rU5nORPpXBRZC9CnLnEtEEnjPSc064m4jr1GM/cViaTuuZy3bqtDadVhgZf2m3QKQ/Gx65tFvOraYbm20Nsd1HeooiOBYwDGO2Wj6E9F1dXW63m2VZmqZ/ItI3TePnpvEbm+3aar2yWFrwOxbzrcNx5bBfOmwXdnvLarm0mM+tpguH5dhmaqGuFyR6g2OXqOvEbWu4zEduy5bbtmQfW3KbVyjnInAuAuci7a7g9mXSVfCY53HXCuVewhwLAAu77U8UCkXPw77ex8NPlJ9tXf7Ne1/5ZHGyYbVWhow93Yq+vr4uRV9vd19PT09Xj+LBgwe93X0dFn1fX19fX9+DBw8ghPf09PT19T18+LC7u/vRo0dwi9/h5b320dXVpehWDDx82tP9sEehUD3vLo0Mvz3i2RTY//lffuM/vrh++PiRQtHdpVA8edCdD3m38+m9XGI7G4N6EiixLQWk+aA4LbITHDUh0FmBSgJocU8mAf0a0t+9zxmYVQ8lSbDgm7/M4Jsc2eDwYwapAuSAxWsc9hEyUA4kAopAjjj8giMv3a5Lw9B1v+6FUt+0mPZp94FENCX6gMIKJJaSuaV4uDadP5rMb8ciq9Hgcjy0EAnMh/2loFzwSzCobTYo5iUASbZJBkRJIkJhCZaKM2SY8oQJd5RCEoD2MZiPQTKAmGXYKZ7LiESad2+MjO5pDUdP+4+evNF8/Mbx02e3TzU7Y8O7HnMh6J712gteRyHornjdRf+d963f3alKwFMJeOaDSNmPVAJ3XPq2Sy5aCaDlAF6UkTnJPSs6ZgT7NG+bEmzTon1abFvkVgLovB8tiM6S6FwKYCukY95ljwIkLoIJjk4JVJolk2x7D92pDuR3COdwMf9KSAbQtnT+zjkAglwMEEmA5wksj3qyJJrjyIxAJUQyxfx/xL35cyRpet+XOLuBRlXWiRuo+8w7833fzKy7gELdKNw30GigG2g0zgIKQBVQKFzdc+wuD9FBhyPEoE1aIpdcax0WSUm2aIa82jVXpnbpkEK2RFkhMmzZ/jf8w1uoxnTPcGfJIT3xxAQajY7ozK7Mz/tc3y+fB2Ja4tdc3t3BwRu96dqguzHqG0XpBthwTn/WpSt1aYpdXaUuzXmXtqLVXehM5wbTpc5wbeq+M/Vcm7qrRtOZljwmdScGY9GgO9HpL8191d6B0+6eI6Npl9TuaZ4dkh0lUnOsebbX9fSwq+PQYNyy2Rd5fhRwGSTiocIM4jOKkFPECVlqaJ58UNvAdyCLuDRgUhKdEpnHuSxeOcFt+4zAZAV6nKUKAjUu+vKQKaggr8hJAMYkYZH2vXJYznvMd3rdvU53rdNf6/R3el0ja//SaIwvNO5VWUOe9JiOfJYj2X8YoA9k6hgyZ0gou+2ng/0ls7FsNuHd+kq3uWw0Xvaaqw7LJeVZ5XxTLJ0JocVYaCkWnAurGGCTsrQyEtnJp/cnMm/yycW4uhCRl2JBXLpfiKgzAYjb2OP4MwOEx5BLiOwY7tNDMS+DcQWLCLEZxGdlfjyAN+yVcYF/Lotv1A/T97ou/TdI+i8kDzzezi1CbkvlVwA3JQkzQXUmKGMNxHFFKsjCXERZT8Z38uk34xk8irgyEsbTiIvR4HwkMKVCTHq8Y/wY9u9DZBpLmPg9iWv4M0iZgmAS8Jt+6o3LeTY4XBkevh+2HgveM8CWFeFUFktIOEHsGeLO0DfXzfwK0i89pOkY9vVsXvJj2GPS13v5D936Jca56rdtM84DwVcU/CcCdYH4mwC8C4BbWbhkPGdOa9lmrdpsV3bnhddVcdqvnI6qy1lx2itO+5Xbdet2X3oc2J/+Ymi4QfpNpk56p9vh8jgFgUNQkiTJYrM+kIwgcMmaoii8gSeKvKKgv4T053ZrI6evOuxVh71it9V8norTfua2n7mcZbfrwuG8sFnLdkvZaT2zWSpO+4XLhaNktxRtg8fO4T2X46V9cNNnfSm4X4iu56LnOfDiw9Ey61phveu8d1OilgDL9PW2EU1tnRqCaM4Ewv/qn//R93cOjq2eDZtdbG8jWoknbe2tREtLU3NzaxPRRDRhPhPE1tbWzs5Ovdve2vp4wL6RxDc1NTXm9T5I8et7eq1EC0EQrS26tg6ijQi3Pyu76X2P/Xvl0x9+77fHEiME0dzW2vzsaVNC5jbSo3uF5M54cmWkPqCEK1crMbVB+kKgrvr0mPQft+rHFQlrQWcUIQvFAgKTCsohaUKkXyrCicofQ+oAUAcqe6xw3+QZVmZKMnOMp29U/lD0H/ldJa+r7HdWJPpYpg9kak+m1wTvpMRNRcMvU4m98dxuLr2ZHFlPj6xnx1YTI0vh0IQs5QGfRRxuzeZkPiUyYzxVf7VBIY1EHHWxIE6MS3wUMRmBmxLAJJLzQZBVuQUfveRwbA8OHff1VrrNRz3mmq57d7B/x2WZDXpmVfdCyLc0yq6F2cUIs/SQly9FqMVoPZZi9HKcwRk8FsNfeCgALIa9ixEGV+lnFNcUckwhx5Rinw26FsP++aB3IeJfjbOrUWYx6FuMUstj/LpMrTG+tMzlQvKsAvOqOK6KWVV8jPkG9RuQe7BpefRGk+ikRH9AerxHnobcso9edXkzvC8r89NIzKpiCrE5ScgJ/AuXb9syVDWaqgbyXkdePaTyuIDfKFZXSOM5qTvRak812rKGrGgNZZ3xVG86J3WXRlPVbCwb9acG8pjUFnX68+7ektl4pNNWzL3VQeuFxVYeGiqaTUU9WSQ7zjRdZ8+enXZ1XJBkxdT9Zti+xLCjgEtj0isgowhp9UG+NIDGAw+AV0Wc4uM6VhbyGcimAZMGTEqsX3Ujucekz4psVqCznHfF45vlfGlAJWU+q6AskpOiMCZxS7Rn22456zHfGvS3Bv2VwXBlMD0ubHwp47/k+1rDpdFUtgxUKFeF855z1LnIVWR4ynhKTktpoOes31wZ6C73m897uyt9PbWB3qrDUvG7VwVqmudyIXUlGlmLBKdUiItVMwH0IhHHXlYv09H5qLwQU/DCIQbeVABMKOJEEGA5rPqw/cOzj0mfAnwGCHkZ4DJeCrBjiMvK/IQi5oFYUAIFAGcFZivIncgc1rU8RvVsHu/BfuOkL0IGk/5ElopQeKlwK4ifBMJcODgdVupyeIo0qUrL8bpIzutscnU0Mh9V5+KBlZHIUiy0FAvNhdVJBYwrUkFFOSR9zPi6PCgQMkBorJ6mRCYNmJzMjwfV8QBKBMUZ1rvitJ2a+44H+4q2/iLvOZWYc5k/lcV6K1PmSvI3pyH4qE9/AJgt1oer9x+QfpX3rIm+55J/A9LPRV+9Yc971kQfjuecZ41ybrqse27bqc9d8rpKXleZ8d9y7A1LVT2uc9vw+fBgxWqpORw1h6vitF/abY1cGpO+5nKW3fYG6a88zorLdu12rTNOyuVxO12Y9KLIQyCKojhstbzP6fFXfr8f79OLIq+q8l9C+hOH5dRhrfk8NY/7wmEvO2znLnuN9V8JdFWkqwJ7JbA1mqq6nGWn9cw1XF++t9kvHM5Lt/vMaTtxDJ+5LUcu+2v70JbPsiU41znbKu94LnpWedcS49xEzBrvX6GdmxKzAHgLqWtuam8mmroNxl/+1rd+/Tf+iwsPvOrxbQpwuKmNaCHamprbidZmooloJYgWorm5+UlbJ0EQP/rRj/7sz/6su7v7MexbWlr8fn8qlZJlWavVNlryHyf09e83EW1NBNFOdBAtxNMnNNH23OOsWPrOVOV/+8e/v7m2TBDNT5+2tzUTwGM5mJ14MRrcSIZx4Q4PJK+MhBs5PT7UY9KnRC4pvO9W1u3soIBz+okATAE2AdmUImRlaVJB04o6LoEM71tX+eOgcAypfcl/oLInKl8C3xjpDxX6WGEOFfowwO0HuDcyfQjZcxVsyu6TEF9RuBKgXsvUPPDnJXYmHH05NrqdTr5Mjqwloqvp+Ho+uTY2uhAI4WxvXJEmQ7AQkLCTDXaryykgI0ujAjPC00kgpoGUFIUcLSSBmJCFjMBleSGHYE4RJxCXRigDhBWOPmR8FY9zxzlwbO7e6O/edVnnAp4Z5JxRPHMRelHxTQd9c0H/nErNqdRsgJoNUHNBejZATQep6SA1q3qxed2s6p5VnXMB10LYvRB2TwZc06prRnHNBTzzQfd80L0Y9a2OMi9Ghc0UWE8Ii2H/cph6PsovjrITUe9aiFrhfUnIZBRhWhLqxdhgXb4UB96gw2qmGPPYj7iRwGHSpyQ6LeE+Pf+Q14oYhBtO36thd4r3pmVuQZLyMoghOi2x4wK/7vS+tAyWjcZLveadtqtB+qr+/ejZrcF4YTCf6fUlkjzVaM802jOt/oQ0FA3Gkl5XMumOTeSxiSx160smw4nBWDb1nJr1Rzptpbfvyu6s2p0Vq+W423xq0J8btVWSvNaQtwb9p+aeG3PfTt/wjMMxCriMLBWCciEoZwJSJiDlAlJeFgtBeTyA8irEGXwGshlI5wBd17eHLI60xDZIj2GPTR9ygM0L/hzr3nJ4lhl/GtFxRUgqchqgpCiMAmbZ796yD571Gq+MZM2kvzQZLg3Gms54o9d9aeCFw8Yo/rXBcG0y3ZjNNwbzpcFYNpvO+vvOhgaObdai31uU+LLCnXGec7fl0jF4aRuoWPoubUPXDuulbaA41HM0MLDuca/QYkFVlsKhpVgQz5dNytJ8WH2RiL9KJzZTseejgcVEcCVRL9rjCXxMeiwT29ilfH/QB/wY9r8QuRySJgIwr0ppyI0iNqcIBcgXgDSBAlNyYJz2vAxyJYXHHhbHiD1R+W+e9PChKg6ZE8ifymIJSUWJX5e5BcBOAmk+HpuJBGdCKAPZHBJmQmgtEd3OjO3kUlvpxHI8NB2Rp6NKo8I3G1JwI7KgImxc9DHmsUgo7uu9T+sBU5CFGaRMK/JYBEwL9LrDfmcYKA8O7LoHirynBJiSzB0jHvfpi/I3uYuEZ+8bE3mY9Muce5lyPCb9Cu9ZFbxrom8DsKucb4l2LzOeNZF6Adl1wDyX6OeMe9PrfO2wlhz2qstdsTtKdtuZy1mxO8oO27ndeua0VjyOC7+77HUeO2xYt+ba6aw67Od2a8XjrHpcFbvt3GW7crvKDsfF0PClx1Fx2Wou53Pa0SC92+uSJAECUZIkq91Wr1U3EURLSxtBEE6nE0IIIeR5XlVVjmO8bo/d4/C77HG79RVH3TmcZ257xW6rWC1lh+2K8lac9rJl+Nbvu1clrH37rZHQp7J05XZVXc4Ll+PcZa/6PWWRqiKuLFJlyV+W/Ede+6HTduSybzsGth1D2x77utexQjuXRfcCb1tkh1cZx6LoWgGuBc/Ac+ANegafPW1pbXnaQTwd9Dp/9A+/9yvj2bVu3Vs7RVv6Oom27t6eb33n216vlyCIp+1PmgiiraW1mWhqIdr+m9/9b3/6L/90bDTR0tT8tL2jiWhtIdranz2pXJb/3b//t6Wzk/anTzDOW1pa2tuf4rl7gmgmiObW1naCaG5vf9ra3tZEtLZ0dDS3Ek1NxDOiTbAM1Ibt+3bLP7wsf3Z60EU0d7Y9I4hmm9GwMDU2H1aXYsGlkdDyaHBpJDA/EpyO4HlsNK7A+oaVIqYAm5ToFGAeBlAff+i5DOJzCm5lsRnEj6viRBBMqlJB5kYROytzZ0CsIuFc5kuA21WYU/gzPq8f781/ld71V55tFfoA+IqQO1PgNgIFiR6Hwlo48mIk9jqT2kyOridHNrPJ+Xgop4jjIYjdpjMQ4PjKYl2jVycKSWhLA19eCEyK3kn1SUHRj0uhJGQTkJ3j6GXI7UKhCLkS71+VXYuyc1F2L6velYBvNUgvBbyzsmsKORYC3jml3l+fUpwFaMsj24TqnFaoSeSbVqgZlS7IvoLsm1D8E4p/SfEsqp5Z1T2tOuYj7hcJdjvJvU6wb5LiVkJYH+GXo+x8iJoP+1ZizPooOxvwFWRfRvSnRObhWCYVVJAOCBmFz0J+QpZmAmg6gHKKiP/yuCyfEoW6WYvEpCQ6z3M5SUhBYRSxCYlOcr5xyjft9696/Wtu36rTtehxTFPOPOfJiHRKZDK8NM5xYyL10mYv9fS+JXW3Rm2pvxPr4OJoaN1fGUwfDJxXSfLiWdf5044zjfZUoz3RkUU9eaTTFrXPzshnl3rtmd540t2zPziwY7Ps2Ib2h/uLA72nfd3XJtO93nil1ZR1z6om8rK7e3/Q8sLlwxq9GcDhrmqjSo9Jj2GP1V7rL3EgJUUhKdZr9QmRHZHYBOTHIByRpYQsZARm2u9fdDkXXfYFj2PB45qnXJO8Ky164oAeAVISgAwvbbhc1e7hK2PPjd7wqcZwrzff6QxVA1kjtdc68lpH1vTklU5X0+vxGaiqN9Z0xmud8UZvujPW2xZXJvO5sbti7j0zd5/1mCv9vSWz8cRkqg4NVXyua7/31u+r0p5z3nvOe89dNqyOdzrYXxoafO60LnmdOcBOyFImAHNImFTAfFhdi4fx7vhqLLQYDSzGQkvx8FI8jA2a8dZlQQVYDzGD8EohXReCBWyD+vibOaWuG5iGbAZwBSROBlFeldKQLUB2ISBeBGBZkRpbdj/v4/yzn3f83niYASrK7B5it2VmA3HzEjMJhIkALARBXuHyqjgRQS8SsRepkfVkfDkeng+ri9Hgcjy8MhJ5kYgvxUJT2L9DFuuLlw1jmy+IhDJjIo1173H3B4tMJCA7ApnJsLwsASyZN6mwRa+v7HOd8q4SqtftcXOhsSPQiA9egD/vfThC3BuR2pXoPdF3KDF7gHnBeZceFuqwYM4K75lnnfOsc5F3Lwke/LtLnGOetS8JrnXJuyF4tmjXS7ftjX24aB8u2S0ntuGS03rudZ7Yhkr24TO37cRlqfic53brpc1Rs3sqAlVF3JUqVINiFXEVv/vcbr2y2ytO+63fd+a2HQ32nnvs5y57zeF6yTj8TrfX7cFbdqLISyKP+/TvSd/U1EIQhMfjwbP3PM8risIw1F9O+qrfc+FyVOy2txzzLghvouhUYT8dDX6qgIrHee5xXFCemsh8O6S8iyrfSoTfxZW3Mfk+iiqQORWoc4He8Vq2nMNbbtuqy7rssy/zzkXWusQOL1O2Oc6+LLpXafsq8AsWcytBEERrO9GcHot9/xc+2SK15x77+YDd+LS5hSCC4dCv/uqvDg4OPp6ne/r0KdHW9A/+0X/3L376v4wl40QTgdN94mnrs86nn33y6f/zn/7vpaUlorGG1/Q+iW9ubjabzW1tD53+lmayU0e0thFNREtLk65N4+rvLg1Z3wz0fWds7Nulg/6+HoJoJYhmm16/lBtZjAaXYqGlkdBCTJmNyTPR+uZVPdtTHyxMAJuU6KREfynp05DLyyCHpLq13cNOdl7hEpCdlbmSJJQRX5K5478t0h/LFCZ9SQEvkZQTqSzkl0Ohl2Ojr9Jjr9JjG+nEaiI2E1HzqpSW+YZdRxp8dU/uUWQgSiP/mEjlRGVtJPhmiltLMyleSUh0TKKmWP8CYHegcKwIpxLzPOhdVF1rYe+rBLefh0cTysG4sp0SN0aYlwl+c5TbGONfpsSNpPB8lF2N089H2bUIvRLyr0aZ53FuNcqsxdj1Ef75KP8iSq/H6KWIbz7sWYr7Nsa41ynxTZJ/neA3cd0+7F8I04tRaiXGPB9hZlRvQfZlJSolMhlUd5+bDKJ8UMopwoPlaL1ij/svDwN3YhLwCciPASYl0RmBS0vY6YDPISEvsQWOnqD9817/gsez6HXP0J5x3psGVBIyY4BJQHaG8U/TjsP+/nOT+ZbU3+t0NdOXNKevDIarh2n8D7bLqiRZJnXnpK6k1xV1+iOd9kjTdax5Via1Z3rjicl02Nuz29+329930Ndz0ttz3lnvTkwAACAASURBVGOuGg13OsO1VnOpfXZlJKsm8/6gZc3lTYlMWmJzSJgIwIdPuJRDQj2hVwDG/GPSv2/MQ6F+K5CQgSAnCeMCX+CYCYaapn2zlGfO537l8G24vYuUO895EhI1CukxyZfmnbtW262xr2o0XOi1N6S2ptffkeQNqamR2hqpvdJpr3RafO14LP/CYLw0GC8NxprRfN3dc93dUzWZy0ZjrbsPi+bWeszVHnPZbKp0m68Gh0p2y5nNcmwdOrAMHDiHjynHOeU699jPhgaOrIOHw0OrHtuy35tFXAGJWQVMBOBMUF6IBJbjITyDthoLLcdDWC1xIRqciaiN+5OXH1SSIPdVpMcaMpj0WFgph4QCEicCcDwAsogbB8wMYktIOIH8yddQwv5mSA8ZTHqc0xegMK5I4wEpr3CFgDQVkVdGwngiYTkeXoqFlh8ufzEanMNLN7jCF0QTATgOPyQ9vnAcacjhH84pYkYRxhCXgGwmIM0hMK5IGcTnZLrIMWWROkU+rOyJ/bceq/Z+DPvjv9K9ekz6A5HeA8w66/mA9Muce551zjGOBc61yLvrv8vaZ2nrPGtf4ZxrlP2Vz/HSadmyD+45h4/dthOPvUx7riTmXmLfIv5eFqq8/4rznbntFy7XpdNVYbw3ivg2ptxEUS0gXkvsldeN4Xvt9Zy5bcWhvorPWXY7rp3uTdr+tUjf1tZGUVSD9LIs07T/q0h/ZhnGpC+7HVde96ey9ElEuYmiWlz+fCxcA+yJ03rJ+W8U8VaVPo2qdyH42UjwbUy+i8u3MXQus1hH/ZBzv/baXrmsaw7Lis++zrvXOPtz1vqc88yz9gXOsUI7Z1i3zfCsiSCam9qftbd8Z3+3mhm51JsrDuv2sOVZM0E0ETs7O+fn5wRBdDzr7Ox61tTSbHPY/TTVQhDf/a3fubt7azD2+CluaMjSRDS3EER/d8//+3/9p7//G785PDiE9+hYlm1qqVfv29raksnkT3/607Gxsebm5o6ODqKJ6HryDOsGNzU1tRCtba3Eq/6BY4etYnFdry4Pe61Ec3NLS5tNr19NxxeiwcVYCPtY4MXihs55fUQZW3jVTVy+PKdPQ25cgY2l0voOriLkFCEDuBnEHkrcMWKPVO4Y8QcqewZ+9kf2r0/6Q+gvyvyJAjagmAZUCnEzqvIqPfYyldjMjK2NxSeDaDwAxgMA+6njjakvPszcV8JelEcE/4jgz0gwJ/Ap3p4QHCkI8cD5JEvPAWZbFg4UvgSYlYBnJeR9OcoeTaDaSvTdZvLdZqq2ligvxN5kwJsM2Muhg4J6OBHYzaGdDNjOgu1RZmuE3k0Jhzl4kAW7WWkvB3az0nZKfJkS1sfY5RH/yii1keK3U+LrlLg9Jm6MsCsReinS6PQzSxFqRvFMIl9WojKAyymgEJSnQjK2Xa+7k71flK9P2KUlPivWv05AHnvTYQRmRTYrMHmemRDZKcBPQSEbBHlVyit16/qcSE2y9DRFL1LewyFHqW/g8y5TPXM1mKqG7o/XyR437B/vld2aTLcm06VBX9EbSnrdsd5wpNcfasmiljzRak90mqKePDDo9w2GfYPh0GA8MRjPjIYLo/5eb7zT6ms6zbUBk37oudeLq/F5WZwOK7PRAPapyyEhK0uNVP7jf3o8ZJ58EINLQSEn8BMMPe2npll2CgpTAXFOEZckPqXyGYVNITol+Qucf83v27daTwd6Dnt73mpNl0ZtxUxeGXVVo+6tXv9Op7s26Gp6EmMeXzW+G9iY7rK7+8JsLhuNZbPpoqf7qr+v3GuqdBsvu00XZuNZt+F8oLdsHzpzWvcl/4HMHKhsUaZPFfZC5csKdyzTpz73vsf+xuFYpFyLHJWV+XEoZGRpOqzMRwJLI6HleAhv0+FYjIXwsN7jLQwsLYCH6vHj/0hN4UtIn5fFrCxgBfhxRRoPgJzMjwNmWqq7SDfMqOp4/ubS+sekP3kg/WtMesRNICz4KBQCwlQYzcbUxqrRcjy8PBJZjIVmQ8p0AE0qALfn87JYUMFkEE0qIA/4j0nfeCWmQF1MCb8t0zI/hrgRhZtSQCYgjQImheg9IJQU/ihAn8C6DccHKfuXkv6vEB+QfleiPyA93qNboB1zjGOedS4+iOUts44FxrbEOdZY56rftuW2vXRattyWPdpxxHtORN+lzL2NyJ9F5F8YDf1SOvYugu4U4YL1VRnq0u8rux2fBOC3kpHrEaUWgW9D6K3IXdpt53brldt16rKWhgcu/K4Lr+vG5dmgbD+b9M3NrZ2dnTzPQwhxq15RlAbpKbejQfpzj6Nit51bLWWH7dLnrnicV6z/s4jySUy9jsC7uHIfRiWv49AxfBcAn4+G7sPoXVS5C8FPRwNvY/JtDF3F0InC7CP6AHEHon/LZ3vptDx3DG34HVuS/5Xo2RZdG6J/SXAt885l1pXxOsydTwmCaG9/qn/S9p8vrm06hn/B7i55XaM6UtPW3NTW/vnnn29sbBBNRHNrC+YxLwoSBO1tLeVyuX9gqKNT+3u//0+2tnfwoJ1eb/yLv/g/f/EXfxmjvaur68c//rGiKE1NTSRJEgTx3e9+90/+5E/C4XB99r6FyKdyAMGOp62tra0tzU+JViLT0VGivTWz9TnPG3p0BD5DkJrFschsSJkLq7NheSII8CzSFyaQVemxINoja4cPSY//SAGJ41DIIi6LuAziMgo/DvhZxO5K7IHMHAa4E1k4DHDn8Gt9mr/gavNzP/nUEaKKMn8oi2tISEFqFDATMlxPjmykE+vJkdmQgk1KsrKUeqQH8jVJnwYoI8O0zI+K1AjjTwp8GoGkKmRkKS6zEzwzDZlNmd9VhCOJWgq4V8PUxgj7JsMXC+LJlFiaBEfjYC8NXif47VHudYJ/kxTfZMDrlLg1xr9KcNujzPYos5+RjgtKcVw+zMG9tLgzxr1KshtjzNoovRT3LcV9ayPM+ii7McJujLDPo9RymFqO0stxZjnOLEWo+aB3VvVOyf48ZNKQyylgIqRMh5XZkDKtwglZwg68Ccg2AI8tajIC1vR+T/oxxGUANy6weYYap/wFjp6UxbmIsjgam4+HpiLKeAgkVT4JmTRP5xgqxXs37fbdwd53Ov21UVM1kVWj4cLw4axZg/QfjKHhRP/SoL806M9J3YlOX9Tpj/SGQ53+UKsranT7ZOc+2Xmg7TrQaA802iONtqglT3RkWU/e6A33pOFaR97odVWjaX9w6LnXnRVZXLqfDMuz8eBMLDAZRFgP52NBmKTE4apsGku9Shz+saTE5Wh/we+fpqlZkZ8PoPmouhgNLIXVeVWaUoQs4rB+1Dzj23RZ31i6D8ymt536K532wkheGQwXBmON1F3ryOsvljEaF14xmS67u7HE/Vm36bzHfNHfezU0cN3fe9XbfdvfWxvoLQ/2VTyOC5HGs10nKn8Y4IqQORPpssicQvZAZU8hvycwryn/okQtilxG4cehkFPATFRZjAeXR8MriQjetZkLyXMhGWtDTcjS493LxwZuX3z83+f0mP1ZWXi/svHg6puVhQxkx0VqVmJ3IYP3brCr7PGD9dzfHOl3IbON6FXELCBuHNeiFGEmBBZigaWR0Psx+1hoKR6eC6tTKpxUQEP9Bte6JgIQz+o+XP4XSP84MojHFVB8eh6BTAGJSVUYA0wKUtsSd6Cyu6q/3r/4yArkm7oPR4jbleg9wHxMeqx4j43qF2hHY6FuhXY+Z9zPWecq73ouel7w7jWv9ZXD8spl3aIdu8C7r1BFmS4HhduYfB+V38WVb6ci7+LKJ3HlLgBuFPGCo88sw3cS98lI4CqGLsLS25jyqQJqHnfZYau6nCWn5T3p3d6vS3qNRtNwtMWkb1TvKbcDT+Rh0mOHm7LDVvW4Kj5XDbCfxgNvY0otDO7D6FYWzr3Oit/9LgivVbEsUjeK+Fki+IvZ+GeJ4F1crkbhscLsyfSuwr0RqU2Pbd0+9MIx/Jr1HKjsnkzvQd+mQL8AvhfA81yiE25n15NWoolobW7pb39yTSs7juHrgeEjUaA6OlsIwqjvzqTSWq32maaLZhm90YBdap48eUK0EMEQaiGIHr3+n/7BH7zZ2mxpJZqeECwQ//W/+99zEwWiuanjWWdHR8d//4//STadwZOJer3+hz/84U9+8pPR0VECq+W3EN/7rd/98Y9/HI+FWlpaWls6iKdERqPZZ5zv+p0LA0PmzvZOoqWFIHrIrvlMfEKWcDm3Lob6MID9mPQfiEN9fLbFnapxpa4nlQd8BrJpyKZlbkLgZiDzWqSxuM0J/Lo5/Qe8/7k/9DJ1IFOHMr8vCyuIT0JqBDJZKM6GlLWx+GIs1PDmSkpcBolfSvq/JMYEfkziRgCVAJ4U4LNISUEYA940EmOIGefpSUivy9yOKhwBeinkfzEKXybR67T0OsW+HqNfJ9idMeFNUtpNSTtjAvat2U4KOF6nxBdxej1GvRrjdzJgOyVis9oXcXol6luJ+pai3oWoZyHiXYr4liO+pZB/OejBe/nLUf9jRZ155JlG/nHApACLd8qxBe0EEnGmkoTsGBLSSMwAISvyD6V7PgX4BD4EQDYtsQmBSvN0gWeneW5W5GdlaTaIZmPqciy6FI3MRgMTETkTAmMKn5bYrMDkOWHd6d2yDd/rje/02k+1mrckWTWQtY8Gy2/0hi/I6ej1VzrdBUmeazUlzbNTbVexq2u/S7OvJQ9I3QGp29eSBxpyh+x4o+3Y13YdaLuONNojjfZAoz0gyRKpqemMt6SxSmqqpKasJ9/09a65HTnA5iRsxIcmQspECOF1+S92Xt9/AHD5qm5KKwr1OgdHTdD+cZ6eQMJsEC2H1dVwYDkSmIsHFkJwKiBmFH4U8QkAxgV+we957hg6Gh74RNd7azBem7rvDL0Xpt4rY+9FTzcWB8S9+ZtHmwhXJnPdyK63pzrYfznQd9nbUzabasaeK4PpurvnsrevNNBf8rpKgNuH/InM7Qe410H2TZA9UNk9ld2KcC9GhRMFvJH51yK7KPNzgEvLfAGBiYA8H1UX48GF0VDDeB5ryBQeTNgeP/4fWLU2jvt1TYUH0qcAi5cVG52gHJIySEwBNilSBYGZl7g3Mrsvc0cqd6zU09ZvtlV/Uucc0yD9PmS3Eb0C6VnE5gGfQlxOEeYiqG7NnIgsxoPzUXU+EpgLq7iGMRlEDfUbfDkNZ6OvIn3jzmDSF4L1rkcSsnmJG0NcXuIKkH0tsruI2kf+B0ubh7/2g3bvN3UfijK/B5h9yO5Lfkz6F5wXr8w9VrxveNWvCd511vOC9WzynpeSbxvRr0Tfmte6bbdsOC2btH0LenYU/57sP1HZywi4jsBaGNyPKLdhcB9F2BK2DNizocFLynMTkKpReBGWbqLorSLVaF/F42yQvuJxlN2OG7f3Bf01SN/U1KLVanmeFx7+k2X5Y9LfO10N0lfstku3s+J3X8n8/YiKDeu+FQvcAK7id9c46l6VzgX/kddeZr3v4sp30tFPRtTrCKiGpCJk9hH9Rma3AbXutW04La889gPRXwpLxQB/pDJvkLgTYLZk7wvIhh329uaWppbmdoLw6fU1G7vvGLqwWLZZzt9JNje3mkizzWJta2srnZ3+6I//52rtiiCI/t6+XpO5iWgjtabWji6itc3BsANWB0G0NRFt+ULu5u66f7AP5/QkSf7pn/5pIpHApftQKPTDH/7wBz/4QSaTaWpqevr0KdFESKz4H//iz7/z7U+bm1tbmp8SbUSmo2PXb7sbcu16aUZn0BBNBEGYyGdTqQgWwHps21WXBnt4znF19yMxyA8/8fhRb4hHZiGfhlwSMhM8Ow3o1yK9i6gDmSkBbv9r9Ok/Jv3PzXuZOlToQ5nfhdwy5FKIHkVsVuQzgJuPh6bDShby4wrMIHGUp9NA+uiifkbkkJCEbFLhCmEpr0pjPDfC00mFyyBxFLEFgSkgeg1xrxRuX6IXAt75AL0cZddi7FrEvxr2vYjSLxPiqzFpJwO3U9KrMeFlgn+Z4F+NCdsp6XUa4Nr7cpRejbN4k34txq5GmaWwdyniW4r4FqO+pZh/KVZf0lsOUysRGq/jL0f9CyHfrOqeUTxL0DMH/QWJTgp0QmRTUGg4bKalugwOLmxg2xI8ppABQgpxuOOYAnxW5CdENs9ROdY/IbLzKlyJBusut7HgXCw4Hw/NxAITETmniHlRKLBcDioLrDjLuIuD/ac9ukuj9tzctTdIfqgMo6/H1RcT+oqOPNV2Fbs6i9pnh13P9rs0+1rtoU5/qNMfkLpDnf6NrmtPpznUaY902kMteaglD0jygCRLJIk9Y8512nNd17lOu9fT88LpyIlMTuIygMPz0vgmpCS6MUT9QdRf4tiCXRJzAj/OMeMsVeDogixMRuX5keBaLPQiElqNhRYS4cUwmgmBrCqMyEJchmmEJgRuhvJtD/ZdaYxlDXmhM13r+s7MfRVz71l/321vX83cXTOar02mW5MJX/itwXhjMD9o2veUe7vxyly1r7dkNp/0dJ/2951YBg5dlkPOe6gKu0EJZ4dFmT1ThQvEl0XmjKdOBOoICm9k/g3g52RuSmTGEDchw6mQuhALLMQCM1EFD9XnFWFCliYVUKjPjr0XVKhj+6tJ/wHwHik0ACyoNwaYlMhMQ2FVhfsyty/XpXJO3mPpm8Hbx6Q/hsw+ZHcQswaZOcBkRTYJ2bwqzkQRLtrPhuWZEJoKgEnlvbwd7lrW6xlIfL87976i+ZU5fVYW8mp92BO/ALMCMyZx05IwL4s7Ir8LmWOZPlXYOuy/YgTvr+NSf4zYY0XYh+wB4j4gPcZ8A/aNXbt1yb/B+7YFakei9lS+GIFHAXGb8245rRtOywu/dVN0biPvLvKVAlw1Cq/C4C6u/GI2/jaKypL/hHXVAmItDCp227nHUUP829HAbVy5jsBbVboS6AuvC5P+bGjg3GU7c9q+LukJolmj0XAch9P6LyX9Fk8/Jn3ZZr10O8u0pxYQa3G5GpLuo/KnUbVMe46clgvefx9GNyFwCdkribmJws9S4Xdx5TYMrkJSSeaKMn8o89uQfeFzbrqsW17HoUSVwtJRkD8MMMUg3AtyW8j9UhGCDkcT0dza3tbZTPC93bcO5tjWXx4c2KU5vrnraWdHS1MzqdE+e/bst3/nu3/4R//jq1evmgjiSVOL/umzp21dTURrW0tre1tLE0E8aWtvIlqbiDYNQWiamrqam9oJorWlqampae/o0M8yeBwvmUz+5Cc/+clPfgIhJAjiyZMnza0t+i7Dv/0//sOv/Movt7S2d7RrmluIlwPDRfvw5bDtiOORwdRKEEQr0a/TTgbrOyfjioRH8Oql+0ceJ7h0nwLs47bcl3ziEZdBfF4WcaOrgOoH4QmenYHMjsTsI7oImXORO5CZn8vl4q/2ABSR/1Ch92VuGzBLgE0hOgHZnMCnJRa3IXGDNg0b7fkvPcR8ZSQFOgXYhETHOSYpsOOIzyFhVOCyUEzIwoTIFmRuBbGbiNkV/POqZz7sW4rRKzFuOcwsh5mVCLsSY5YivpUIjWM5TOHA2rcrI+xCxL8Q8S/F6jJ5KzFmOUqvRGi8go9L9I3APjcY84thL67bTyueFcmzAKkJwCQFelRgEpBPIS4pMUnIJiUmJXJpicc7wQ/uZBIeRsNV/QRk0xKfE/gFjpti6TxH5USmEJBwargUCz4PK89DgdVwYD6sjodgQpXiiB+B3KiCpiRpCrBHDlelf+CtzvyJ1nBr0Ff1+qsvYv7WYLzXG2uPtGKqen1FR55ou440nYfks31t175We0CShzod/v/jL45I3RGpOyQ1h6TmgNSUSPJCbyjr9Ee6rmNd54m2a89s2rRZMjyVEem0xI+JbEJkkxKXkuikSOECBr4DjfuQlvgkZB/WCKWcJIxzzCTjm2Y8OcCOq+J0RJ6LB/AdWIwHl0ZCUxGlEIZZVUjIXEIWMhBMifwcQx3Yh27MfRf9vVXr0L3dWXM4bizWa9vg28Gh6+4ePHl3ZzbfYPVAnf5Gb6oZzdWenkp/b2Wov2IZuBgeuBoerFgGLu3DF05LxWu7ZFwXElWBzIXKnypsCVAnkh9rUB5DpgzYayAUJfYAcbsSPweoCZ5KQLaAwESwTrhCQMopQlbmMcwmFYDP6A3Sv1dWeMB846z/0RvgAXWQr+fBCIwrMCtLKShkADcvg42gcqDwB4grQuYYvn/8j745xRicx2PSn0IWy3G+kdkNxM1KdEZgkpDNBcSpMJgOQuzVO6GIWBSorm33SEIKSw7gFCgrC2Pg4/MN//jo0yA9/rN45D4ncWMSNycIyzLcBeK+zJ0guiQzpwp7qrAlhf+Zvfm/CvI/Iv0661nm3FgNtz6Ux7pWeQ/WyNsQ/a9EaldiDxB3FBBLcaUUQXuA2fbYN9zWF37rS9G5I/sOZOosyF9H0XUEfjIS+JXxxOcjgXPee+i31QLi29FA1e859ziuJObT0eD9iHoXQfdhdKOIF17XpdNRclrOhwfPnNZTh/XG7d1gvsZEXoP0oihCCEVRlOX6Pv0HpG/405dt1guXo8J4r0LS1YhcCYnv4upnI8Ez1nvktpZ5/10E3Y+o91H5VpUw6T8ZUe8i8DoonUL2CLAHgHkFmec+x7pz+KXbti/4jlRuT6Z3ke9QFndV6jXy7EXRiN/f1NTS2t72lCD8Pbp7D10e7r4aGihRXIYcIJqJtifNWOavtb2ttb2NIIj25hbdk06y9ampmeCeNi2a9KW+vhuXa9tuSVp6Q35r3OlWhm2WZ12m9vYubOfX2kw8fdLe3koQxP397b/5N//6Bz/4Z+PjucZWfUdr5z//4x//+//wZ1PTs61Ee3szsT9kv7LbrxyuLY9X1OqaWgiig/AN9C8GlFz9aceYRxMBeSJQP+xj0uMW3fst6q/4xI9COoXYvCxOqbDeAwbcmEhPCtwsYvcAlsZjKyKPjSz/1ki/JdGLEpOWmTHE5QS+4cSalSVsRJZFMCV94GDxs0mfB2IKsCkoZWEgA6Qk50kLVA4EkgI7ArmCwGDSv5TZfYleCvmnQraZsHs+7FsIMssRfnVEWI5T8xH3fIhajDDLMW45xi1H2UasjLBYRQfn9HWBnZB/OcouRZilCLMYYRYjzEKYxgo82PBmLuDCMR/0zgX9c0H/OvStIGYacimRqe+JIW4MMKOASUIWF6WzfL0xnwR8AopjkpCU6j+TkOg0z+Y4dt7lnaXpKcCPq2IuIOZVcVoF8yqcioPpCJwOSgVZwGI7GSDkARgVmBmOm4V80ceUHO5q71DN0Htp7K4ayKqBrOnJa0N9g/zeoL836PH4/ZVOVyXJilZ7qu067OrYffZkT9ux29X5Rvtsl9Tukto9jWZP8+xA21XU6Ioa3RGpO9SSBxrtgbbrkNQUtZpjjeZMSxa15I7m6Z72yWFXxxu9bmNgIM24MzyVErkxgR8VcJWeyUA6KbD4uPNIyZ9LCiyWtR8T+HpCz9JTlHeOdmcUYUKW5mQ4E4CFMMyGwXhAmlKkSTlQQGIO0GOSLyFRKYkuCNQU6z0Y7qsZzedD5rLPUvM7Ky7bZa+5bCLfDg5dGk3nWvKC1OOOxpWWvOzSXOuMZQ1Z0usuhgc+Zf2fCvSV03rUbbjR6+6MhmuD7sqou+nGKsKGmtF8Zeytmfquh6011n8a4PaC3K7CHCHmDLBFmT+QuFnJP8n5E5DNISmvyNjWJa8IeGA2r9abbrgU1xB/begiN2Z0Hj8geCLvA9Lj3vxkUJkOKBMBOaeAFBSyIjst8StQPFKEosw3SF+SuW9WDbfuYf0R6V+p4rzEpHkak74QEAqykIdcTuax2UG97RiAGOq4MInnjfBQYVYVRwHzpRlOUmISAjUm0lgxDI8lYtLjKZAxJMzy/BICe1DaVThsUIthX3p4DX6z8wqPSb8vUG9EqkH6BuyXcdFe8r8A1EtAv4ZsEYlHiMOwP5T5N7xv02V94bJs+qyvBdc+8hdl+kzlrkLSu0TwNgw/Hwl8FpHvVbEmc++iym0YXjG+E6e1zHrfhtB9GN2G4duY8jYil92Oit126rCULUMN0q//TNITD9V7mqYRQhBCQRAghCxLP569f8n6b+2Ox336ssNW46i3MaUWgeWgcD2ivFPRqct25ra/k4W3YXgTRbdx5Sai1CLwW5nofQzcRaVqUDiR/KeqtA/FDd635rWvuy0v3bZdzldUxT2VfxPgj2RlR3QfBt07ET7lo0ii49mTp0QLMWgma1aq5Lae2/rLHvdOj7Wns7mHILTNzQaCMBBNZoLgunQ0qQ+bekcttp1s7Gp16u9EJ2/F2Kll8FuJ8J/+1t/7wfd/+8//4A//4NPPZ53WBc4VtZjcne3GltYWormTaH7S0lo8P/2X/+p//Yv/+Oe/+xu/2U4Qw33m+EhA29G+tb7xW7/9O6ICOlsIRD7d9bkuLD3nLvtLl9f5TEs0N7UQRJTy56MyVqrH0yiN1tREAE4E5HEFYnOXFKgvoaUkcUzikg9qoHhYCX8nhbjGc4KlMceQMIr4jEgvQ25fxgbVdBFRRcjUHe3+JuMEUUVE7SLqFaRWID0tsXmJywhcfUpW5vHwVFJiMNI+yOl/9qIdzn0fbktjSS8JmZzMTyFmTvIvA2oDMa8gsylRy8i9qHrmQt6ZiG8q6puNeRfi/pXYQ9U9QuNVOgx1nMRjkzqczeOUHQfWul+I+Oei3rm4by7um455ZyOeuZB7OuSaCrsmwp6pEDWnMksyuw2YDUivQHoaUVnEpBA3ivg4ErEnG545b+ggpQA/JnFJicsIXEbgsiI7DrgpwM+IzDLjL1CejMBkgygfVsYDaFIBU/XMD+RlkJXragQpKKWglAHSpMgvq2I5IFcBX7NYDnqN+z2GEyN59OzZcUdnRW+4GRi4Geq/GjBf9hiOu81XJvOdVn9L6q9Ng3zYUAAAIABJREFUpguz8YIka13ac43+rEt3ThrODaaSznigIQ805KFOf6LTn+j0Jb3hVGc4JrVFreZA27VPdp52aU412mPNsyPt0z2ydVf3dE+vPzT2L1hdUx5vhqdHIBdH4hiS0pKY5vk8z41zXIEXc5KUlMGYDDIQ5UU4LvBZnpvyUznGNeuzF1jHLOWboeiEKuVUWE/7FCmvSnkV5mUwAcEEBDkEEwjGZHEUcAWOWfBRB4MDZ/19V92mC6P+rMd8Nthb7jdfGLVlDXmpM2BdgVuD+a2h+15vviWN73T6W5Ph1Kw/6TNe2IbKloHjPnOxt/vSYKwaTe/XEfWmK0N3VW+uao1VvfHSaDod6Dl2W0uS/0TmjhB3COkSEk5kaUtkZ3h/SqJTUMjIcOphtvxx4t7QfP1A+b+ggtTDkuGXxpjE4Y3KMcQlZT6lCJMITsloUlFyMkpBISUyU4BdloXHZeq/ief9A388bJN9ojB7iF2VmLzEppGYk1EBgQkkTMjMlCpPyHBChpMKmlRQ4+vGiQf/+zZW5L/82iVuVGAeHqV6gaR+UAiqSRnERSYtUAuA3ZHFosw3TjlfEg8p/iNmc43pxa8fR4g5kJkDmTkA1B7v3RH8G7xvgXbM+22NJv0K515jnZuid0dh92VuV6IPZX5f5vZUfk/lz8Nol/G+dthfOIbX/fYtybsn00XInMv8VVD+NKp+ayT07UTos7j6LgLehuF9CNwFpRrrL7lsZdb7NiLjXTvsa1fyOy6djnOXs2gZLLmtly77rdO1yjgauvdur0sQOCAJAACHy/kF0uv1epZl8ZadIAgIoUZO3yA9nsjDXnZlh+3S7bwRmPsgvA5K1aD4Nqbcy+DUbT/3OO4AexsQa2FwHUW1EPokpv5CJvYurtyPoKuIdAT9RZnfEehN3vPcZ3vhsW66rLuM90QVD1VhN8Dvy9KBTJ2EmeIInJMEU1NbC0G0tBEdrUSx21rxOMrOwQuv89uDnufDltWe/udG7e5A99oAuTNgvPDZzwTvkd/xXxe3fvRf/voP/t6v/fC/+s1fOyq+GjBdpEL/7Nd+7X/4B7/9+7/19//u1t4bw8BVr/VzB3Vr8S91D/EGXVtnK9FCEK3NmWz+j/7wf3q5+Zpobaej4fuLK7JDMzAw1KHpaiEIz9O2ope667NWhgZv3P5U30BnW/OTltau9vZ4AMwEEJ41fawl8mDHBPMywDNrdexhnn0EwocfqEO0Pn4P67tbeYleQfy+LJwh7gTRR4gqyuzfCunpIqL2Eb2F6DXIzAFuEgh5IOZEFvdrM4D7AtclNi2xX8jtHl3vl1Tvvziq/d70QubzijCD+AVIrwJ6E5Ne8C8pvkXFNxfwTQXdk0H3dMgzH/YtRXz1Uny0LnRfV8YN+xdCvoWQbz7onQ968deNX84HvbNBz2zQMxdyz0Y8OGbC7rmQezbomgq6p0K+2QC1qDArgHkN2S3AvIDsMmSmIZOHXAoKCSgmBObR9Nl70ucAm5e4ccDnAT+O+ALkZwC3BNglnp5gfRmRxmJKeVksyML4gyv5ew+khi2CwOdZehrQByJbZDyn/X17vYbDPtPrwe4Dy8D+cP9Wv3nL2nfAOI4l7xHnKNmHLwcHa0bztU5/3W2+7u2+NBgvu8hLnemCNFZI46XefGEwn5OGc9JwpjeWdfqyTl/RGyp6Q1mnL5FkUavZ1zwrdnUeazTHpPZI13Wg69jXdx3oDYfG3udDtnmna5zyJQRqFPFjMkjKIAHFmMzHET+K+BFZiCtCXJGSQMwIQkZg8jyz6qWfuz27Vtua27bk8+R5egwJWVmaRHAKiuNQyCEpD8ScJGQhn5O4nCSkgTSGhAzgZhh62et7PTR40t93ZTLfaHW3pPETQ993DD2/rDXWSAOWx7k1mG+N3Xemnltjd01nvNMZ7szmqtFQMehqZtOdqeeWNN506S8Nxi8ID+hNNZ2xqjWWdfqa0VzTGcs6/dlA/wXvLysC3mcryVwJCW8AvyQyeYlNQSEpgwbD8DHlMe8/mMbFkYXi46bG+/jCG4BLIS4t8xlFGIfCOJQKCGURTAE+KzEzgHsu8/9/kX4fsuuAmYRsGgoZCMahVJCFCYX/YAD5fekeiY3AzYsU4pKQfTTA8cXJ3IcHJ4NEbPGMxZWzspQE/KhI5URmGXI7sniEcE7PfiXsv4kRxaLMHsjMocIeQnpf8L0RqU3Bj0nf0Mhb5T3rvPsV8O8FhUNV2IfskSIcKPyeyu8q3FkIvqE9rxy2defwGmV/Bbz7CnOEmFOFr4bk2qhymwzejKmXMXAeYisR8WoE1Ubla446ddtPKde1Kt5H5duYfD+i3sWVc8p15XRUnM7joYFTj63qdty53M9Z59civdlsFgQB695j0jMM9Zj0ePa+7HVWXc5ThxXP3l8zdQXcGmDfqeBW5M89jorHeSsxN6pwF0Hv4up9VP08EvxOIvI2Jt+OyOchfk/07CN6DzCbvGuDsm16bC8cwzuU+0SWDmVxXxb2A1wxwB8q9FFY3AxJ9s72doJobetoaSYiWu2ype96cODWbr0ZtOzRrnPKW6aYot3+2msr+1zF/qGKAH/4+S/9i+997/d+6T9bVeHl5vPfu6ydtHXWYsF/+nd//R/93vf/+Lvf/91PPjtE8t7QUMVu27cNnHC+1w7riMboa24zNTd3tLXabI5nnboW4onmid7Fsa2dT9uaCANB+JqIpcGB4uDgZx7vnZOd6x92dnW2EwRBEH0mfSGk5EQGt5fwWvnjx76hJfKFj7gkflDqfNTm5LBsDo484PMSVxC5SciuI/5QFs8Qdwzx5htbQsLfAumPEXsgM68R9wKyy5CbheI0kgo8m+W5lPhQioBSBkgZIH1wRSmRS0ti+osp+xfS9/rJ4L1Tdb2dKbGYjssSvQHYHZnfVYQdxK3J9IpMzSn+KdldkF0TqnMm4J4PeufDvtmIbybsnQl758M+HA1l+xnFNS07G19My85p1TWtuiYDrsmAYyronA26ZoOumYBzJuzFuvpYRndepVYR80JidyG3C7kdxG0h/jnk5iE/IXGYSY8jD8Q8EMehNCVREyI9ARhc4M1DZgZwq5BfRExB8GUlpq6TD/gs4rAgWiMe7oOApx8mJH4hIO5Dfod27veZd/pMJ5aBQ3PPWb/lpG/otcH8sq/30O85A+wpoCoSfelznfeYTzXaislUHeyvDfTXuvuuDN0XpL6i1V3q3pf36zKxD/v3VwbThd5Q6tIcdnYeaZ8ek9qizlDUGQ512gNSs6cj90jDvr53q29o1W6b8XunOHZSFHMCn+bZDODyElfg2QmeneLYWYZd8NHLLmqCoVISnROprOhe9toWvNZ5nzPP0yko5RCcgGASSOOSmJOEnCRleQFr8GX5ur5QXuJmWWrZ7910DB9aByt9PVcGQ1WrvyCNVa3+sktzpzPd6UzXOmNNZ6zqjVWj6cJgLOv0N3rT2+6+m57eC6P+wmys9pirZuOFUd+YbLjTGd7qjG91xlvSeK3RX5oM993ddzpDpVNTNndfMb4y4vcF6kCmTmTuXBYPAb8BuBkgZJCYgO/r81j8DsP+8Sn/A/Z/gPmUyH3pGwCf9R8egcbcAzchcYuQ2/ybz+k/DJnGUZTZbZlbQFxeYtMSn4V4zFD84JIbpMeNDJyX55CADzEp9OEl4/uQEt8fkdMNawyZzyhCfdxVoqcA+xxyb+qdC6oEmFPInkJsbPM+3sP+r036Q4XFpD8Q/Zj0i4xz4cGfHtvbbIjebUQfRkAxKB3KfFEVG6Q/DYLXftdLh23NbVljHC+hd1dhDhW2pPDlALwJoU9GAp8lgm9j8m0YvI3JWGXuTmQvKM855b6C3H0Y3YVgLSDWAuIl47l2OssOx//H3Hv+yHXueX7FJFEi2ZVjh8p18vM85zzhnKpmM0iiSIlBTJ1z7q6cc0dK995d7AA2YMDA7mAA78xO2Jnxjj07uDu4e8fABhvGAIZfGPA7/y1+8VQXm03qXk2QZoEvhObp6lZXOM/nl3+c9IepxJtkalX7AaS32S6HQqFhM71hGO/79Lz2npO+kYi24tFuIt4Tko1UrCHEu4pwoEoHQG4LiW4q0VWEtia2kNxCclMT+kA9IvAog48/MxtTKEvEUlqrTOqbMLGuRDeE8HpsfFdIVqlRZkaeGsUpUJpEWayW0rB0n0yOu+1XrthsH9uuXbl22SbevJ5zho4S0kFM6MrSaTDS8Aa/DccPktH2eKg4Pnb4+NH/9x9//Wd//G/+y//0x7970P43/8O/+Nvf+1fZj67/y731/+3P//yv/u0f//Wf/ul//eW//+Ojg85Esm33NSPh/MTYQTTxixisC9qU1+26ccl2zWa7ZrNdtfHxfFeuXb1is+nB4KKkluJaOZQ8TKDV0dTEJx99cu3yxzbbyKefpKE2PTXJl508zuDhbc9N3a8p4m3071YjI95xNChhezdq/RUFw7viK4aeMvSCoFdEn6Fgw9TLzKhTUGY/HekrDFRNWDZRjqEtChcJnGX6jEm+0eFjHT0wwH2MPqfGA4YfEfwY47cDUs7c3MEXxHhXg9jdsBVtOFOFX/9a155jOIO1VQJ2KCpYRsnSiybaoWiDwmWqzFLpFUu9MFPPM8kXk6lvMsknmcSTTOLpZPLZ7dSL28LLKfHVlPg8k7ygF5MpHg/genFbeHk7+WIy8SqTeJ1OvM5IM2lp1hTnLGnBUlcsuEXhHoYFBksMlhjMU7RL0DqBCxROE/iS4RfUeE7050R/QY2XDHPNE/WVoXxDtMeW/shEj4j2woDLFL+y4NdY+RJrX7HB6f+Q6l9Q8Ojs6b8r/DmBTwmazuh5U98zxHx0dGfcV5gIloKhotefd/uzgVAuGinKQhlKVV3ppFEXSo3x0bLL0Qj5+4lYT0x0U4mjQLDv8fbcngO3+8jrPfa4jj2uE4+TZ/dPne5jFy/iczdujVQ+vVG0f1JyjJQcnpLDV3Q4eUF+wW7Pu1w7Pu/y+Oh0IvJCTDxTpCdQ+Qqpjw3lma48h/IrTZ5W5VlJWhBSi8nka1l5RLSvGHxIpWUxsZiKzUvCY0P7ghpfUfKEGHy4EDd/H2HjwWAOgf7Q0B9g+JCAbwwwg7R9IFaFWHcsdOB0dm/aeyPuvtt/6PMf33KdjLhPRtzHdvfRiOuti3/Lc3rLfXrLfXzLdeLgrfaOvmOk7XG1Pa6ux9Vzu/oed9/j7ro9HZe76xw5drkPHc7GiL0eCrah1GBwQHpLazBYpWiP6ovUeEb1Bxjy9POQ9IOyle/B/GOmn9nBxgUNI14XPF1evMabO55R9IpqSxRssx/dp/8+0tdMrWChNVN/icFjA3xNjceW8TiDB1bO2bnH3XF+APL6xKdUPwv7gYcMfp/FP3wdzmczH2D4BKuPifqMgjkTbVp6nj99U/0+0vOC/H8E2FuwaIFSGpaYVjDkLFY3DYWTflhvv2JI64a4a2qlu7Q0RQrWgPRZC+YYqGXwnpRYi0dWhMgKSGxScd9UOekbGXJ413rzxeSbLyaPPzOP7rOTz63De7RlwZ4s8GmzfSCfmsYJ0/tY62Otq6SOE8luIlmdGGukogfJ+JtkakX9AdF7m+3y+Pi4aZoYY4TQBdKf77K7QPpuKtFIxfjq3GYyxq934rGOmOwoQgfJHSC1pCQPQXSIdnLf7N4hZVMtm2qRqlsgsaXEtsQIJ32F6BVmlCjOT8qFNCgwvZxB9XvGNIwJHsdV29VPrn5qs12++tE197Wr/pFrhtc+q4irgljRQC8hVycmyv5gRZJ/v9X829//0//9z/7qP/3Jn//fv/yLv/6df/7mq0d1j/f3crv/6dd//es/+KP//Cd/9jd/+Id/8yd/8B/+4F/9983C0crsP1tbOnj6tJJMFqLRciKxHRzdHR3Pj0ZLoWhtLFHzx0qhaCEcbotCVxJ3wuNrULwf9QWufvTpZZvtqu3KZRsbCz+fzNyl6jNT55gf6j3Sw4ukP5epOn+4f4nVB0T9koIh6V9SOEPRAtW2Gaowo05Biah8rcU/0G79gZivmpDXp+xSsErAIoFzVH/FjGdUf0T1z6lxnxmfU+NLYjw04OcEfkHRENgDj39A+ndTdBR8SQEvX3gwqGIb/MgXBniJwQyGS1jbojBLYdFEZROVGCxjo0iMXQrWmbZkydMZ6UVG/CaT/CaTfDqZfJJJPJ5MPJ1KfTMlcNi/uC18WBnx+eTguy9vC68nhemMMG2l5ixp0ZSWmLLC1DULbFkwx1CJoLKJKmwwlqtEQJbCbYbWGVow8RzVZwmaJWiO6vPMmGfGHNWXmT5L0AuCvjbxA6Z/ibXnBlqm9LmJHmL1CwN8SYwvDfwQkwcM32fGA0ofUPoFNQZjdgb2EHlgoae69hrLBaJVLK2tCQVhvBgO9IVEJzzRnQgfi8IbqB3r2hFSTgytZSg9JPelZD8RO1bEY6z1CGgRtR8KdgP+jtfb9Xn6Ps+B13XgdR16nW/crlOX88ThOnK6OOlbdkf91kjefj0/crMw4iqMeIp2d8nuKDvtFaerZXeUHc5dt3vN41nxBVdD45vxxLYkLYqJRTGxJMSXU/G1RHw9EV+Lx1Zj0WlFfcjgl2n9S0tbFJMLQmJWkR+Z6HNqfEF52Fa9byj8Y8OHKD8h5LFBvzTwXYLuUfgVg68sfdmUd3GqLof748EDr6/v8nVc3rbHU3c5W2532+Ppuj1tp6vjdPU93hN/sBmdqPt87RHHsd39xuE+sdu/vWX/+U37sd051InDxYMBBw539+atrsPR8noqE6GSHC9TrZpGZaoV6YBzdQpKVN9k+isCHxrak7PRrXwG8ADzaeN9xvPg3IfMuLd27TtXKOCY52Gt56bBc1irRNul4J+K9HULVNNoz0QLGDzTta8N8BVDXzE0jLQPzR1+hVcnvCW9oQ1GRH/P63DheHxgDHoTXlLtpQmmTbhkwh1TLzDIswk8ev8bAvj/0Bj+95B+To1zzHPSr+nCDlMLU7h4G+dNWLL0vAk56atpY1eMr8bCnPRbRMyZatWEjbTeTJNvp9LHadzWlaqaqINUBytNKJXEWDeV6CTj7USsLST6ithVhCZfVy/Ej+KJXjJVj0zUhWg/ETuJJ9aUH0b6iYkJ0zR56B5j/EHSD/P09Xikm4j3komulDqAygEBPaS0pGQ1PsFX2hwicGrR7+5YP79j/WKSHmeMDla6FBxkjJYJKoaUR+KuEt/REltSdFuMbybCO1KiTPWKiUsWzpnSvqnmM7hooqKlrlPxgRiLul18F43t2sfXrn5yyWa7brMlPrqOLt344sbVZfutbDhUlmMHT+//6t/+y1/90e/9r7//u//uD//of/yuty+CzfFkyTf2r6vV//zrX/8f/8tf/uov/+JXf/kX//U//vL//OVf/Zd/9z//P7/6m//r3//y//0Pv/7bf/27J18/7EB0LCjtiUg3kexKYleVa2qqlIpUE5FKZHzd6Xrmcko3rnxs47P4r3z8yVU1Gn5ppV9a5tem/nzKHJbhvNNac470Dwl4p/voXdP13D+lB4bCS3CfUf0F1V9RbYaCVaLtUb1KjTpFZaoVzJ+W9AyUmJal2hbVlqm2SLQZC72y9GfM+IoZgwMLw4eG9oDXop8LwvP5qY/xORFwJpVPnuEh668YGqRpDTCHlUVDXcPaLgUFBiuWzldlN4hRJ0aZ6nlT306DtYw2n5anM9JMWprOSK/S4vO08CIjvsiIr9LiS0t4lRa5XlrCCzPF9dISXjHxtSm9soTXaXHaEucsacmSVyxl3VTWqbyF1R0KdhnMWnrZRHWKKmcLvrhKDOZNPWvp25axZeobFG5QuMnQUOsMLRL42kDfYOMRRl/r2isdLhPjtak/NrQvdfVLQ+ekf0jxF9T4kpAvCRl8GPhCW0P/0sCPTPha15aRXFWEspZopsLV5HgjNpaNeIvRYCUaqkbHy/HxYny8HB+txEbzo/7KRKg6HqqN+huR0VoiXEyGc2Kk5Q+0Ar5WwNfx+9o+d8fr7vo8Pb/32OMZjpbruzw8+t10uSqum2WnvWR3F0dchVsjvPuuZHdk7Tf3nbd2vM7dgGfX79sLhfYmxnOJ2F50fCc6th0b24mO7UbGdiITG9Hx1dj4S1l8iNVHRPvKkJcS8dlU9JWc+pyqX1LwFYFfY+2Rrnyhyw+I+ojCJwQ9xcY3BvnGII8I/ozoX1DwlIEZCnYtUDLlrpE4VWKnychhPNJKRGqpiV5s4iAWPoxHjqLhg4mxg9HQ0fjYt5FIh2nV2GjN4+p7vH2Pu+N29tyOY4/r+JbjZMR5avecOr1HLm/P7el5vD2//zAU6o6FGolIDYlFC+QzsJSGVROW6cCJ5GmsHENLFL0wtK/xYK7AY4b5XvlnaTIsQX+f9A/eNe4v1KMNDd8HROPiVZyvmDFjGnMmWKDqOlX3GPwn9OlrJiwStGGA17ryVNe+NsAjDIalx9y3ebdEaTD+a5iee0jA+RPvwuvAXYKHhvaVrn2la08wfEb1WQanTW3eBCsU7lJQpKBMtcq5nXUXWuwujL4fTNQx/w4qMY37Ue+TflaNz6lxvmOdb6Yf5unzGZxjqGAZ/FjIMVSzyE4qsRaZWEuG19XEtp4qEKXBYMcyOhb5hclOddQRk81ktCslT5B6DNW+IvIptM1krBWPNhLRVireFOKNVKyZjB7G4v2U0IiG60K0F4+exBM/1Kcfkh5jjDHmtfdCMhUXE0PSH8fig7n30TDfVteWkocUnk6xw0ncN1EHKwcEHFJ4mCbHd9O8BfBkEn/3MHMwhU+myBFDNTlRFOJFJZmTE7tqakuIbQmxjWRkT0mVKSyaqJQx8kzdN9X9NMxSLavLG0h4CWKfqWF93Oeyf2qzXb5x6ZORKx/bPrlku27ja+Sv2y5ds9niwdBkxsJ3MsSgd+99cXfqnhwfjV3/OOF1hW9cffrk4e/84l/8rN3+nZOTf356/G27+9/1jn+ne3jc7R4c9I6PDn7+84M3zeIzXXsYHn+aiD1Lxp9GI4/Hx8EtjzDiGrvl+OTaRx9fv2mzXbPZPr523XnVZrt6xRa13/pMFj9n4HNFmCH4qwx+SnVefvK2tIohXl73FYFD4PE87hMyyE8/NDS+MmSw3lRXH2L5a6x9g9ErYswQPEvQLAEzRFnDWpbCOkUNplcYKFrgJyN9hWfrTbVsgn0TbDBticgLFpgz0YxpvKL4OdGfYPjY0B4b/IRCz6j+jKJvMPwGwxcEvaT6NNansT5N4DSB00QbasY0XlP0ksIXDL5iaJrps0yfJWjZkFaxuI3lPFPLJqhZqGYZVVPnGz4qDFUsvWiirAV3TG2DaetMW2HqoqnMm8qcpcxZyhyT56k0S6U5Js8xeZZKM0ScxsIMEWeptGwoS0RdpsoSU5apskbVLartMrjHlH2i5rGaIzBPUYHBKkUNMnAghgff2euDeDKPl+kOEnsWKFpgl+lbBK0Y+pyhvzbQNIFLWNskYNWEM0T5hmhPKOQle8+o/piAx1h/jOHXWHtsKI8N5QlWn2DwlKCnhrKoSDupRHNsrBTy1r3OctDVCHk7fs9hKHAaGj3yhbq+QDcQ7Pn9Bz5/KxhsjgYaIX896GuE/LVgoDwaqETG2z5/Lxg6GB3rh0bbgWDLH+iGRvtj432v77y6Pl/H72sFfG2fu+X1Nd2+ustdc47UnCNVh73Kg9sOR93j7fgD/UCo5w82/d560Hfk9/X8/o7f1/UFDnzBni/UDATLoeBcKjwrxjaj8f3xaNc1mveH1iITj7X4M6i+QMpLqHwDhKdQeIrkb5DyEmrfaMpzoL6A4JkBn1D4jSHPacKqmGyPhdtBf9c90hu50R+5degPHCQiB0CopNWypXDlTSnHxJwpFTPqoS51RoP9EefJTdfhLXvHbu+6nH2Ho+x11ALe5niwFQvXEuFicqIgRQpatAulNpRahla3UCWDC2lQYlqVgQrRKwyVTZXDvsTgNkOLBD7B4LGh8dTD19R4YpJnpv7M1B+ztzpXYgm/1NXzN/tQgy0YwytE+xpr/AR4SfU501gw9TmmLVJ1i2p580cn/YVhc1VLq5hqmSkVBvio+SzVlwl4icFTXXuqA16JPJjtz/RhPz1/+tzEP1e3Ozjxhho+cW7fPCSAl3A+07WXGM0QY8GC8yZYomCdwCxGJcLb/T+wrftCC/Hfg+4lphWpynWB9MOKvFklxr15rlWU2sRSNoPyGZylkJM+lzZyDFVNvJWIbYYntpKRTTm+o8QLQKjrSsvQWjo8uM16GdLN6P3b+PgeO/3MevN55uS+1VKFmhjnM2c7inBsgO9MfERgKxU7jMV7yVQ1OlEVot1k7O9GesaYYRiEEELIsMvug6RvRSMHQqodi1bj4S7Wju+ZR/fM4/vW0V16etc8nqKHd63Dzyf7n1vdO6Q3qddva+2M9rPP0t9laFNMlZOxmirXkbYjpTaSsY1kZCMZ2VGSBaLlTViYNEoMZi24PwlyaVTAcFVOPI77H2mBp9rEEymp+oIjIyPXbbbrNttHNtv1y1dttqu3ro/Yrly1XRpspfuEjwm48vHHl203Ltk+sl3+2GazXbVdt31su2SzXbNd4YMErtlsH136yHb5us1mu2qzXbVdstkcl656L11xXrp8w3bpus3muHrdbrPZr9qu2mwfXb92+aNrNpvtY9ulEduVUafrbjjxja5bSnxSjj1E8hMMH0Pw2ABPMHyM4Ve6xu9qfg9zzHND9TGGT4jxjJFnjPDS+icEDcX93SdYfY7hDMFLhC5jukyMBQzmsbxJ1DxFDaY3mF6xzsZh/iRGfZkpFapUmVqxtEIabDN1lUpLTFlmcJnpi5TMGMYLAz7H8Buica6/psZranC085j2CsUrFK9QfYXqKxQOxMCSCRaoOkPkGSLPMXWJaSsMrBOwxaQdJmeZUmImeRUEAAAgAElEQVRK1dKqfBE1haU0LKUhP3c49UsEFTHMUrhLwTYDGyZYs8CaBdaZtkbVZaosU2WFqSvs7derpraH4Q6G2wRuUbiFwQ7RcgQWCcoztYi1kqEVMSxSUKawQrU6Uc7mgasVS6tYfIIYbzhWh6qZ2nCgR8FCeVPfZcYGNdZMvG4ZuxbaY0oujdaoOmuqrxh4SeFLCl8R+BwrLwh6QcALor6g0ksivaLKawammT5v6ZuSuD8+3ncH+qHgm2CwE/J0fM5e0Hfg8x/6/If+UC8Y4vBuB4J82DsfCdf1+eoOV+WWveZwV0ccLbe36wu0ff6Gy1t1eZq+QCc42g0Eu4FgLxjqB0K9YKAb8LeD/lbI2w8E+oFQLxjqBQP9UW9/1NsPBfvBscNQqOP3NT3ujtd74PMf+L3doLsVcveD7nbQ3Qq5WwFPz+/vBoK1YKAwFiyMj21HJ/bDEzvh8arPXwj58mOj64nwS0mYkVKzsjAjJV5K8Rdy8pWQeJ1KPRVj34jxF2rqpS6/xvICFNcT4Z3RQNM/2vZ5u+6RY8fNE/vIkdPV8/ub48F2PNKMh+vxcEOMNdRkAwpNQ2pieY8mstFA3Xs2M5gv+7nlaDucfa/vJBz5ThBPZamnil1d7jNQSIMKA3WK6hTxBE2Fag2m1YlRNlHRUkumzN36fRNtUPiCwaeEd1HqjzF+SvETCp9g9QLJvtTVB0h5gBR+Pjwl6MwOHojf+08J5HpG0XOCnhP0ihizFC8xvGTCeaIsYmmLKsX0j16R932kL5ugRmCDoIqJt9J4lsHnGD7H8JGuPCbgKUOPCfjKULmZ8vW7596wzvQhH6WM4flzj+sBg49M9DWDTzD4xgCvdDhLjEVKlky4ZMIlCrYIyhG9QnSeUhl63kNODyF9/lvDwrofyPgCUbh4l13RAudJP6PEZuToIkz9BtIXLIOTvsKMrXh0JxLZTkS2hNiWGNkXYxU5VZeFiiz2LKOfxoeT+HiKHt0efPHmnnVym/YYPGDo2NQPKfzuNvvujtUjoCMmDmPxdiJRiYzXxFgvFT9OJH876fmw90gkwmfmEEIw1hkj57fWDklfT0Y78VgrGmlFI20h0RDip2n87V3r5L518ln62/vpN/esN/esb++nTz9LH98zD6bIwRTpThon960398x+GrWIWsJK3gBZCre01JIaWxWjO7FwXkyWTVRM6zXLKDBYsvSSpWeptomlRZh4oUw8FoKPhImvlOgDOX5XiMOxQNLrHb11M3TzxvWrl65ctp3torNduXb10pXLl69cu3TFZrvM5/3abJdtl69eunLt8rVrV2xXL39YV65eunz18uWrl21XLtsu2S5fsl25bLt6+dqly3yl7eUrtk8+uuS7fk1w2dPjY9Oa8lwWvpZiD6XoIyX+RBefY+0l1V9Q/TlBZ+c1eInRS4xeEf0V0V8ROE3ga6xOE22GgjkK56g+S8AsAXMULryrWYIWDLSoG0uELFIyR/Ei1tcILmBYJKhE9QpDFQZ4Vz0/en5KDQ3nbQK3MFg11BWsrRKwTMAqAStY4yBfo3CdwQ0KN02wY8IdU9tlcM9E+xbet/CeaewyY5ugTQMsE7BEwZIJly20aulrpr7J9G2q55nKMxRv42kXj7ZB5r7EYJGCItZKDBZNlGNgj2lcu1TdosoOU3eYuk2VLSJvEXmXqnsM5pmaM9Us1faYlqVanoISg2UTDbdh1imoUK1E1AJR8kz+4QdlzUIX5nYNL9YzsGLBoon2TbDD1C2qbBJ1m2jbRNvAyiZRN7CyRZW9NNwxtS2q7JjadkYviYmuL9B3ODpedzsUaAdCbXewG/B3fKMdb7Ttj7QDoabf3fB5Wv5AI+BuBnyDQH0o0A76ax5XfuRmxe8rul05h73ocFTc7prbU3N7qi53dzTYHQ12QgG+DKbj93UD/n7Iz6nf8fvavsFq17bPy//JHzMUv3j+ynn1PN4jf+DI7+v7PD2vu+f394KBdiBYmAjtjvl3omN5RdiVk5upaFZJ7IrRJZTcNdSCAXK6ltXlXCpc8rmaN28eOO3n5/n37PaO41bPNXJsd5+MuE9vuU/cvv74aCMVLoNYXo+WTLGlC4epWHc02PB5WgHfkT/wxhtoe3yH/tCBz99yu+s+Tys23gNiByt1KNcpqFmobILycCgNjwYzTn29aRp1k1SIXjDAIkNzFE4z/bVFXlvktYmnCXytay8M+BKjV8R4SYyXxHhxdiZME2WGqrNMmzfBPEPzDM1ROEvAHNW5LpwDi1hfIHiO4kUCN7CyR6Q8U4smqpi4YuKqiSsM8aOgyn7s2B4aRDUYKFNYpnqO6NsGXENgCarT2HhFDH4AvqTwJQavDfRahy8pP/qM1xS/pvg1NV4R+JJqiwT+JjG0SI1FaiwQfYHoCwQvmHiZoE0C9phWSIPSJKqmjRrTBxSnaoEoeSwONUQ11xD/3AK4QPfBoiALDn/beVuBY75E1IIu7SNpDYozIDErRlagsG7IfC7emi5tGsqeiYqmUUzjvKlz1dK0ZpHNVHwrEVtLxTa0ZM5Uc0gsiPGmIrYk4TBN+Kz7o7vs5L51ct86ussO75DTu+bJfevwDj28y/govZM7rEtBW4gfxuLdRLIWHm8MSC+saCkpnkzGEykxGU/GPjQj7+9Ceu7Td+KxbiLelVItMcFJf3SXHd0zj24TroMpcniHHt1lR3fZ4R3anyKnn6W/vW8d3SZtC5aJmiNa3tR3dGkFJFak6FY8nJWSBQZzaVQ2UY6BAoN88sC+CTaYskTEOSP5XJx4Lke/EiYeCbG7sYn7ydjdeOR+MnY7Mm6NjeJgQHbY4zduRG58OvbxR6MfX4/c+DT86SdDxT79NH7jRuLmzdSnn3xQ4RufRm/eiN+4kfj0RvyTT2Offhq9eSM2cmvi009i9htywENjY3eE6AMx9lROTQNpWowvaOIK1lYoXKJgjsJ5huYtPGvRWYvOWnghTd7KYnOmMWcacyaaZZA/eMHUF0x93gTzJliw4IIFud26yMAiA4sMDT/38wQsErhO4C7TixiWCChTyG/vn14X0JUjcJ+AHaJtE7hN4A5FOxTtErRnGlz7zNg3UY6hvKnnzYG1y6NbeRPnmJGlepbqOaJnqZ5jxj4zcrwLgxglbFywu4dxuXd5z88gVDZRmQ7GLecYyFItb8KChfiQ8LwJ8xTwiVdDDSdjFE3E6+rLFPKCuxrT6xYabsoqMS3//RbV+zO3L5hEF7aL1kxYNfUCg9wiyVItx0CeghwDOQZ2qbpvgmJaL5qoQJQSUSuWXpeF5mio6XHXve6G39sJhg4CY72xUDvob/q9rYCvE/J1R/29sUBvLNAZDXZGg5zfvbFQbyzUCgbrPt9hPNYcDRXdrv2RW7lbt/IjIyWns+J2twPBTjDESf8Wz8HABZYPdQHk/OJvID3fBH/g9/Z9nq7P0w34O8FQJxiqjQbL48FSItww1AqBeaxW06hsglIa1k2jQVDNQBVDK0vxStDbdIwcel0HbjdX3+XqOhxd50jPNdJze/h8/q7L3fF628GBKkq0qyVPgHgqp47FxLGYOBbiJ/Ho8UT4MBQ68Po6TlfD6az43JWJQDUZrmpiFasVC/LDvXo2F/YsewXekp4ZJYJ4PeYSRbNMf23q05Yxa+FZCy+kjeG9v2CxhTRZSBvzlj5vwYWhTH3B1JdMfcnUFxkYuK3vapGheWbMM7JE0RbVskwpMa1sojIzysyoMOMnJ/3bf5aonqX6FgYbBlikxjwzZkwybZFpi8yYZHDiMTJv0nmTzpts8IWF50y0zPQPaomCZQZ5mHCJIq5FAhdMfZ2hPQYLbFAiV7Fg1dT5sXBGejlnCDlDyGMxZ0g5Q8pj+QLyOfWH7vt53/390P15m6CIFU76VSTOgMSsEuP9dW+H4GJ130R5+k6SvmThqok3U/G1ZHQ5FV0BiT1LzVGlDKUeQYdEP52yvvss8+399PE98+S+dXzPPLrLju+xo9uD5Tec9Ed32elds0tBR04exRO89r4uRLvJ2I9F+mYk3IxF2kKinoweU3Rym/YmjfZt42CKDOk+ME8+Sx/eZQd36Ml969v76aO7rJPBZartEzWXNvaItILiq0pkMxHel5MFC2XTRt7U+Y4mfkBzj2eDKeumskGEFUOYlqPTcvxZMjwtJ2aU5DwQVzRpSRWXNWlGSrxMxV/JqZdS8rUqv5SSL6XkazH5WkxOSymuGVl4rSQ/qBdy/JWcmFVTc0pqVhZmZWFWEec1dVoVp1VxVk3NKcklTViD4q4hZ6m2T8A+ATkCcwztm2iboTUKFwmcZ2SekQUTL5j6omWcaXBlnqF5EyxQbcByhhYscE5vTwGO/HmizmFlDsuLWNqlatXUS0QtEfUnKsP5jaQ/I9mg62yoMjOqJuY+x/nDiIfZawzXGK5So0J0DtQz1xnVuRtt6vzB/MrQM75A0Pf+JL1mGTyFXzV17uUXTVSx9GraGNbxlSk8M5JQmcIiVnj/wqCFgf8epteYXiGwbqEh6asm5Kf/Dyf9e4Jn0stUr/NoAX/82Z6SKuMNk4h7EvW0XsdaVRGaYqoL5aaSagjxRjRcDwWrfl8r4DsKBBsBd3vM2YuMdMZHWiFXM+BrBj2tkKsdCjQDPm4BtIP+diDYCgbboVA/GmmNjVb9vqLblXc6cg57zmEvuJwNr6/p87cDwQ975MHAUBeuXDACvten93t56R9XN+BvB4Kd0bF+wNcZDbYSkS7WGmm9aIHSlFGYRBVDKsnJfHSiEAvXZaGjCJ1ouB8Knt9Zx78+8DgPva4Dr6fndnXczo7b2XO7DpzOo5v2w09vlUL+cni0kpgoxsfL8fFKYqKYnNhPjp2Exg/c3hOH5zun543D3blpr9ntNa+3AsQqVodm5ZD0g3eZAf7x4PPyKswoYi2LwRYGS1ibJeA1AzMWmknri2m0YA0M+mXLWEnjZctYMuFiGvFvLZ0xfsnUly1jyQTntWwhriVz0MexQuEugwVTqzBQNlHlHcz/NEb/O6Qf3mg5hvYYXCXaMkELRJ+lZJqRGZPOmMa8Nfjj+ak4z8jAU6fvPP13XooB5gdaooCTfsmEmwwVTVQzYcVUSwOLBwyD7Xksc7rnDClnCFld5KR/X+epf/7K+V81vHie9Hld2kXSKhKnYWJOSywiYREJS7rISb+hyztEyzFUTON8BvPSvJKFKybellNrqdiiFJvXYpumvMeUgiG3Tb2fxke32Zt71jAEzv3kN/fM4yk6gCnPj98z39yz+iY632V3NiPvH4n0w8k5gzx9PNpOxPpiqinE31j427vW4R3avUOO7rLTzwZx++N7Ji8r6E+R3qRxeIfyi+3bpEjVfaLmJvUdIq2g+LIS2UyEs0oqn9Gzk7iYxlkL5tKoYKE8BbuGvIGEDUPcosomFTewtKQll0FqXk6sAmkNCNtI3ifqriFvY3kVJhfVxDJI8fGES1qSa1l9R/Mw/kHNqBMLILqC4qswuaolVtTkqpZagyJv4C5TWDK0ElaqDNRMrUKVxm1cs1CZqEVDLhjqHlY2sLKkyzzcNE/APFHniTpL1TmmzVG4SI1FhhaodkHzpsbd+mE0b56heWbMMW2WqjNEmcbyrCEtG1KOaC1LLxN5UPg9gMTAl/3JAa9xm6NyFqnm4c0qA3ULtSx92M9ap4OsJ1eD6XWKagRWMajit+2wZ118sJSGw3K2sxK8t6QfnjLf+xdyZJ4LlQ8baoeGwjs1ujz3QZXht/ifPRy0+ffzkz60aYOfyEaFGRVKauTcbpJBsl+tU7WOeUm/VrFg3QJ1KJaj49VQsDMxXhViFSS3gdJNxJujoVbAdxjwlTzuftz9M+j5Tvb2Jnw1r6/q8VS9I1WPq+xylJ32qttZdbnLLlfF7eaAL3rcJa+n7POWvJ68y5lzOvJOR9nhrLrcDa+v+z2wv0D3fih4nvS/Vb2QpxNwdfyeXtDH4/atYLAzOnrgdXX8ntpEsKUKTQqLVM1b2h5TalgqCtH9UX9+PNhKxftCojs21nG5+y5Xz+nsOZ3nSX/scZ04Hccu55HbzZsIjtxuvq/2RBC6qljRxRISKiBVh2IVy0UqtzWhGh0v+911r7vh81T9nlpkrCUnqrpSodoF0g8tvIHfTGCFwApDVVOvGEoRKzmi7VCwSrQFzE1zbd4Es1SdNtQ5rC1QuMgGvunbiB1D56P0bw+Bd7XIAH/AOkP75tCgREPD8SeM7b1D+uH6OD5FbpsqmwSsYrSIybyBZ4kxy/RZpvHsJO8+nSWIH4+LWOevwPviByB/uYYO/SKBy1TZZbBmoRZDdaoWiVQgUp69BfOQ9Be4fg7/73z3gpfPrwx/hBsKOUMqEfW8BbBryMu6OA0Tr9XYAkwtImHZkDawsomlTV3cNeSCZQxJn7X0koWrFtlVxXUhvijF5tToBhE46RsMtiz95I7FodmfIgd3KJ96++19i0fvebz88C4bkr4jJw8T7/j0p3FhRU3+/Un//ow8Tvp2ItZJxoek/+5e+vAu694hB1OE45xbJTwK0Zs0OmnUv42P7rKje+nuHVZi2j6VC5NoG4uLMLYkhzcT4ZwqlDJG4TatZGjWgqWMUU4beazuaKkNJbEFhW0s8/0BS1Ba0ZVFNbUG5XUg7+jKvqHs6QPe7zGtMIXzt43iHZLP6FyFSaOY1rkKFhpMP35P+2klN6kVboPSJCpmYNFEJUsvZUiJwZplNNJ600RtU2+njboFSlQuUrlqaY00bJqgTOR9LG1jeYtqa6a+YqIlpi1QdZ4oc0ydY9q8CZaIsUTREgVDLTO4ZMIh2gf3ACVcM1ibwdoc1mawNk/UFazmCGyaRoUqA/03QnpLq6ZBLQ2qljasR6tbgFelVZk67EmrEVgjg8D4sEuNP5ezkn61bKpFSy2k1UJaLVpq0VLPqvDOc1qvmnqRqsPwBld1EFyFF8KY/J/nIn6wamk1U2uaoJ1Gbaq1iFonSo0M/gwevqtQrUzUylnYlv+//t6NuTxaUDX1IenLZ9tRy+ZZJT9VKlTmpM8ztWiptTSoQqEcHS8FA81AsJCKFLHSgepBMtEaH2uP+o4D3oLT1Y14v1V9x6KnPeorO/1Fu7voGCk57QX7raL9VtlpL9kdBbs973SUPO69Wzf3Rm5lHfasy7HvtO/bR/JOR9HtKtwaKdkdNben7bsI6feD9hcc+vMXfxPp/Z6O38MfNowxdHzOhs9VCLirQrRFVP7GFalaZUoNy3VN6CjCkSQeRiIdl7tz037k9R+4vRzzh2dbfA6czr5j5MBpP3I6ju3OoxFH3+trR8YacqKnyA1D5emAmgmbFNZMWLRAz0JtKDaT0U50vBub6KXifU08MLQ6BTUTcmexRNThEtt3mrWoViKAk75E5YqpVixYSIM9xisttA1jQOg5rM0TsEiNJYaXGJ1nZJB9PwPbAoXzGM1jNGMacyanI0/YQ167s4LlJaKuErBFYYHxj+4F0v80mL9Ieu7zDCv1Cmk1a8FdZmxSukboMsVLFC2ZYJGBeRPMmWjORPOWvmDqCyZeNsnCe5VJXK+pMUvxHD0zCLDOSb9O5Zyp1kzYZFoVy3lDyBlClojfh/AiBQWi5bGaM5SsLmd1OWcoOUMpEI1f518Mdd4ayOoiV86Q8rpUIEqODmyCPaysInFai88osUUkcCptEXnLkHaguKfLPDWZtQaF90XT4KRfS0ZXhNiCHNkiYiENylRrWXp3khzfTZ/ct3hBW3+KcD/+eIrwzH3/Nu7dxr3buH8bH0/RLgUtMX4Qj3eSb/P0/wik57X35+fet6IR7tN3U4l6PHKC4ekU693GjUnEg/aD1MIdenrX5KX4bQv2b+Pju+nj+5neXbNqwjxTyxm0ZUiLMLGsxDYT4ayULJqoYKEKQ0UTVTK4YulZKG2KsQ0ptqkmN9XkBlY2CViB0gqQ58TEsiouq8IGVCoEFgy1iLUckvO6UqaQv3PngqVndLnImHf0TsPGucdX00Y1bVQYKmKlYMgcLYMGDKZwZlRMtWBqWabsMW3XQlsW3GDaKlGWqbLEtEEGbkD6AewXGeDRKh7d4kGtJWIskUF1+iLRFg11BWtrFG5QtEVhnqIqRe/1d4GfMHz3AeRzfHKCvv3b+FALa9Dwej5LfTECP5zIQQe6UME+OEre/hQakv582ptH2usWaJqoes4Q4e9XzUKVSb2aRhVTLetiWUuW5VhNjjfkRFOKN6V4U0k2kdgias3UKpZWtAakH/4vBqT/YfsFBnvAzmIe775NA7f+3dJftTwISCoNBisM5Jmat7RyBlSxXJETDSHeS6YqSC4aYjMZ64yO1kK+etB34PUUnK6yb6QauFXzjZSczsKIpzDiKo7Yi44Rvmy+7HCWnM6C3Z5z2HNOx77dnnU4cm5X3uPOupz7dnt+xF50OAu3RsoOJyd9x38xPc8L8YZVeB8kei8Y4GN5vice4OsGvEODoB30twK+VtDfC/qaAV8h4K2kom2q8TmmFaoViFS1tAbTmlBqJCJ1n69ldxy7vIce35HLy6f2nltN62r5HC2fo+1y9G6N9Eec/UCoIycbaVjHWpWBUhqWM28DPGWq7abVXEYtpbXaQKBoqdmz159beyWs8M8An1I+DC8NP401E5bPLNTywEYEeYry1FhnaJWAJawtEm2RoSWG5xmZpXjg358FqxdMzCcszZhkjpE505hnBvdolwlYJmCLyJtE3SYwS2GZaryd/Sew7L+P9O8Yu3w+LlPKTKmmQSkN8ybco/oORVsErROwTsAKhQOXxgTzg9IEvMTw25LDd33619SYZfoC0ZeJsUb0NaKvUbhG4R5TSkyrU9AgoEzkPBZzhvC+sz4kN6/PLRCNAz5nKHms5rE6tACG4t/dR8IQ8MPIf4EoeV3KY3lI+n1DWYPinBpfgcIGVraJtoXVbSxvaalNOb4tx/IUFCxUsFAxrecYKJqoZhn7qrCeiK4L8SU5uo3FUhqWqVa3UPs2ObjNDqZIJ6O306g/RbiHfHKH8jx9b9Lo3cbdSWNI+oYY68dinWSyHploSvGD5I9G+m4q0ROSfTHVSETfUJ379O07+Pieyek+ZPxh2uibqE7V3qRxdMc6upfuT1lVBgqGXGLKlqGsQGFNiW/Fw9lELIfErC4WoVggSoWBElb2pNh2KrynJva05KYcXZfj63JySYguSckFIb6qimuatKMP0idFrOSQWNCloStWGwZyeUiZDvR9Pv1wbuKFH+GpXF6cWU2janpQTd3IkAH+iVRiCr/PC0ThRVVZyuu9tQ0K1wlcO2efXrBh55kxjFbxYvUNijYo2mVwn4AsBkWCCkwvML3E4KCT+5/gJv8A6c9idxcjChxd3/sbLpopAw3foKEG7wg3F0x14P5a+lml/VtPq2ZCHj+oEaVGlApVKmfs5O9ONQ1all4nSk1NlZOR0kSoGgrUg75W0N8OhZqjocb4aD0ebirJJpZrplZNgzJReXySM7vCQJWiMv5BL9F50n/vdmDrw9M8GgxWTVikasHUyhlUNWEda22s9gmtZXAVCp1QoON0lP3Okt/dvOUse10Flz3vdBQdjrLLVXG6Kk53xekekJ4vm3c4Ci5n3unIOuw5pzPndhV93nLAX/b5ii53ye6sjDgrTheP3nf8gY4/cD6Gf96n/w2Z+N8SvQ/6uH3Q8wd7fn834G8FPE2/8ygQ7I2OlUcDVSHWYaj+diIKqqaNsglKSCgmJ4o+T8PpPPT5D52+A4f7wO44crqOXe5Tp/vU6X7j8h14nF2Pq+lxttzuri/QjUSaUKrewZVJnbehcgM9z9TyWdJkUGtJZB4hG2Z/OOlLbOADcNIPR60NA/v8N5RNUGZKicplIvPFkiUGC0zfJ+o+UbepsknUVaItEm2egBk8YNtZQS4ezFI0B+b+MtNXKNygcJuBHQp2qVqkKjcdSlSvnq2fKJro/fq7wQ3yU5L+3Ae+MthnrxSpnKPKPlF3KdjBcJOAdQJWibbEeL4SLmJ9EeNhcH5Yi7diGiumscjAMoPrDO1QtMfgvon2TZC1YNECFTaIDhapmqNKHsscw+f0lt8XXPYh3YeOPmf/8Pr7Yf9B5h4rBaJkiZzHcsGQs7q8CcRFOb4JxB1d2UbyFhS2gbClJDaE8KYQ3oNinoJSxihP4hzR8litEJhVUuup2IaSWlHj3KcvEKVMteYkPrmXOfksfXCHdieNw7vs9LP0m88zP/9i8uTOYHkdj97zirweg01p4NNXIuMNMfYjkr6RGPj0tVj4lKCf3U0f3TM7dwetAoMuuynWY7AOxbKSqBhSO436U6w/ZXUytEzUPBLzhrBtgFUkrqupnVh4PxbJKokdOZKXovsgVdClvJbaSYb3pFjFUMpU2wepPSG6I0TW4hPrQnwtFdtUhQ0ltaWJO0TaI1LOVPeItGeIeSYXqVyxtGG690JX5fd+ji34tr/CAqW0VrTUsqk2TcD9PM5yHtCrU1DGqMKMiqVXLFg21TJTzkLHKs8TVyxYsIysifdMvEvJEiHcZT+fn5slaO4sG7fEtBWmrlN1iyrbTC1nQJWBBgEdarQsXLcQh9mFJzL0gH9swH8QZmWqDfxUAqsU1UxY506P+c7Dhj9VPUfucxf1qqnz1sriWTKC188XTcTzAmVTPeuE0YsmytO3HXdlqpWJXDTEIkzltUQJCSUs1dKgPonKGVAwlTyTi5baMdSWKtQSkfpYqBkIHPj8R17/G2/gyB/oebxNj7ca8FciYzU5XsNSzVSLhtjMGI2Mwe/2eho3LFwyfnsh5Pmj8P2S+0E4xByGLgaF/cPegdrZnN0S07hZWeGeLqPFtF5R4n2Puz9yqxp0lwOe+g1H3vVpzmEv2t1lp7fidBXtNwojN8sj9qLDUXY4yw5nccRedDiKblfB7co6HDmnM+ty5j3uos9b8norbk/d6ZMwunAAACAASURBVGk6vXWPr+H1tQaMDw7b6z+I9u/j/W+2A/qhYD8Q6voCXZ+vF/R1Aq66137kDR6GxmqjoaaY6jBUYaBgKuUM4P3rhTSopkGHaT05dRAeP54YP3L5D89If+p0nzhcJyPOkxH3Lz4dORlxtj2eVtDfCU+0xEQJK7uTIJsBFQZaBDQIKKVhPgOLFqiZsMH0KkU8Ms/3lxQpqDDEiySKFqimEa814eDnb9M7jdpnu+ErVOOpH357FhjM0kE4qmyq+5a8bcorTF2k6jxReVj+bfaah+tNY5HAZYLWKNyicJeqOaoUqVxmCu/RqJi4aup1Cup0QPr357z+xKQ/s7zh2f8XVRiomErFlCqmUjbVsokKDOepsUf1bQbWGVxhYJmgJayvGPg85jnjVy28auFVU9s0wa6pFRgsm6BqadU0qGa0emYQ7CkRtWBqeUsrUrVoyOcK6wb85rF6Hq4vEK1IAdd5xg+/e66U+G01/nneDwxELOcMKY/EHJI3VWFJjq8IsVWR/ze6rSZ31cSOHNuTYmtCZB9JfMnNni7vaUIeyjtCbF2Ib2jCkhbfpGI+A/NMLaVh8x5788XUmy8mD+7QlgVbFuxm9N6kcTxF3twbjNA5/TxzfN86vmee3GEdorWV5GEi0Ukmy+ExPg33B5Gew55PzsEYc9JjrAOgCqlEQkrKyehn8cgWlI5j8ZY4IP2BJDRjkZaYOLGMYz425/M0X6t3+lmae/NHDB1ApS0lO5LYkoSmIraB0jDUMn+fMnADa6taakNJbSQjW/FwXopnhehOfDQrRPNSfE8M7wgTBUOu3Ca5SX2LavtUXoeJZS06L4UX5MgaEDaU1K4mZbG6j6V9LOWxWCBSgShFrJSpNgwpDz+aP14Xyvlu6QHph6KDmG2J6vvM2GRo2YLzFpwzwZyJFkz9FYEzFCxQbYWBbQZyplpiSuVcSPCCfmx4/5gnxQfg9/Y6BsNzZJgCLJhKGYGSAYtYKxhvM+UlLJUYzJswN6kXpvRaRm9CqRuLdv2h5mioGwkfCclTWTxOJY+i0aPxicPQWCMUbAWDw9rydtDbDHpqAXc95GqFvJ3QgHDtoL896mtP+NrjgV5soien+mm9etvYM6USU6qG9A981ue672A1napYiRJRSwRVTKmaFits0M1fsd5pHypSOUf0ig5rYrI1Otb3+pp2R8FxI+93FB0OvnKmOGLnufay015yjJTszrLDVXa5S05XwekqejxcBb8vF/LvB7z7XnfR5W54/R1/oO3zN32Bpi/Q8gfbgVDLH2j4/c1AoBUczOFpB/1DdUKBXjDQ9fl6fn8/cFZ7Hwq0gv5mwHfg9R36/If+wKH/bPxO0N8cDXR9gV4w1AkFOn5f1+frBwKdUKAW8Lb8gWooUE1EGoZctwZpl5qF3q/kqDK1ypQikYpEKlGZB425SlQuUanKlDpVq1guUXngnRsfmKH2W9+p8zf18GKJqDx/NwjyDd9QU+XJo6aJ6ha3VLScqb4TTMYwb4CcruV0uKyDJQx5bG+WwRkKponyiioLWF3DYJ+AEgFnRoNaSKuDCVE8oMj/nnMFuZXzR827+rFv5Is6l7k7rzKTy0wuUjlHtH0CtjDYxHANowVu8bCBFhlaZvo6NQZdxEypWmrVkmtpbVCpY8FhVJWbFwN7i8hlopawUsRKwVBzhpLTNT6Dgcfqy2ebMjjps0jlD+AOPd9HfL6P98LknKIF8pa2T+U9Q8whMQulTSm5lIysJqNrUmJVTqwpyS0oVSy9mSZ7UmJNiGQ1sU5RXhO3xfimHF+Jj28I0R0htipG57XYGpPzt1HZBHWsdSk6TtPTND4wtLacaoqJlpQ8MLSf32aHk3hY7nZ0m5zcpicZ0iOglUr2hGRDiFejE7VktJaIHKXEDS0pJxKpZDwlJuPJhGEYxMCMsVgifvny2agZm80WDof5hhtCCCEGpRhC7ftIX4lNHEgC32V3StBpGh+n8YllHBjaaRp/O2WeTtKjDD7K4JMMOU7jpio1FLGmig0g16FchVIVShUk7wN5U0xsCYnNRHg7Fc1BYR+kttX4vhjLSvFdMbqrxEtMq981i1NsL63vUnkDJVdhckGJLqmxdShuAnEXKVms7unynjGcmSDzbPrb5PG7t8SP8Sl/Z7ryexUAw96qIkF82+k6g6smXGVolaEVClcZ2mRol8Ec9x4G4zaVD+qnvoF/Kg0DIcP6eb6pr5Qh5UlcyeBq2jhLtWgVS2uaRt1CtYxes1ANyy0p2QmHO8FQKxhsjoaaY6PNsdHW2GhndLQXDPX8wVrA3/D7W/7AIM086u+OB9rjge64rzPm7wb8bZ+/5fU1Pe6631X3O1ohb3M00IiMt4BYJnKOShVTreIfOjnngt4nfQljbtlUTVyhhLtE54pL3nl81YQlS69SVFNTrVi4G/A3nPbCyKd79k844Lnjnh8ZyTsdBY8j57YX3C6urMuRczsLXnch4C0EvOVQsDgeyo0Hc2OBcsDf8A+eeMsfrHt8Nbe35vbUvN6qxzOQy11zexo+T9PvPR/DH2zK8fsG4X2vt+vzHQWCzfFgfdTPh/Z0A/5+INDz+7s+H5/Z1wsG+LBebgc0A4H2xHgjNlFXkg2q1iw0qHh/J482qNjgKlF5iPl3iaLw/gVOeh6xr+K/s2X8W0l/Efbm2XQEBipUK2Ili9U9rJwlj88ixgbg2sJwE8M1DPiYqWUClqm2TLUNingyvkhBmahlphSpzGvLh4GE8zfLOzfOfwuk/z6ZCr+Ri1TNEW2PwR2KthlaJ3CVDF6EQSkSQTtUL1O9THnFD4e9Oqz1+eD7UqHKoNCKqCUC3tpVhnKB9NytP68iBYPGYBOdH6RzXryzIMuULJELhpzXlR1VXJHi63JyE4jrUNzG6h6D1UnSnjLzUN6S4vtysqLJ+2JiW4zvqqm1ZHg9Ed5ORdfF6Ioa36ZKKQ2rWK1CqYGUhiJWpXg5GalLiQ6Su7rSxdrRpPGL+5PfTpnHk+Qog09u05/dTf9syjyksJtKHYpCS0o2ouF6KlZLRA6TwqocO096jPFvIj1fb0MpZoz8BtLXEpG+InbiMd5V3xTi9WS0HploRsIHknCK4alpnGQGI36O71und9NHt1k/jdsU1qFcERLlWKQcnigIyd1oeC8W2YmF96REkYKsBXeYuiVGtqXohhDelmM5qpQyRtbSdyjYxMIaSq2i1KIaW1QTa1DkXXZZDPYNZR/zLMuA9EWsfKjN6SfRRcwPeqmH1C9SkKeA7zjfZZCPUuJp+HMTMNTzZ/37nPjH0vvh5e975Psv5j/un8Qr+N5/14ppvWLpVQaaWKtDuaqlKiBV0cUOkDpI7iC5qaTqyUhtYrQRCrYDwe5osBXw1bzuis/d8HvbwUHo+MyhD/b8fj6grRPytUd93VF/J+Q7yx8HubvfDnqbAV/D760F/I3YRE1OlHWxkYb/P3vv1dxWmuZ5VnZ0RF10pkgCOB4ex3tvABops6Z7e2P3bqrTydCTAI53AOiVqqqZ2Z3e+cp78YKHEEUqpSylqno6I55gkCDMwXG/93H/BzTj/YKv/ADpTTU2zdS2MldPHWVZk++It8i/K+jLXLUY6oEjBSYXq3RGt4sWlqGQX1/b+/L3ca0WrK2BTPx0Y31a3/CR2gTZmKINH4OmaGOC1CdI3ccgYIdPvjqENo4JeNolkm6zJPAzFLtA8QVGFBAc12rRxgb4CUIF0cZGtLGR1NbT+kbZqM+gBoD6Zbs5x5AShYGy3gJCzhvIDULMMGSOIQDn1wh6A6M3MHoNIVcIeo4gYLIO0OItUTTH8ZIlS4kpDSF375TpqoqZ23Fkd6R/7MyMHRm0dMamGFn8UqD+l67M3rVV0lewBxU8IIwPPMtAF8e6cKLzq6T3DfHWp5cmhjox1FNDOTLEI0M8NqVjUzqx5ImlTCxluoSQAGKToSFUNzTwie9eiX/npI9XKohBasN3lImr+ZYKvvKprUxt1bfUyNJiS1uKBDhi4gi3JoL9/+ClB0oUb9tob4UyLbkCeUV68K9bhL8tAeKo9+he5SYSWwaSWbdHRDpS+ZcS/Uqi91RuX+OX469GRrZp+YZ4zPSPyO540Dsle1ORiS1lKnMn7OCY6u2RnT22dyoxocLGAh1zVCowc1koRDoT6QtLebPtvN62LzaNq6fW/3q6+T9Gzk+Ofq4Kc4k9U/gLTVzI3BlJ3bDMnKPKbgfMvLmimJdc713S34/egzy94ziqqmqaZpq6bZur0ftn/Q4g/Zwj5/1e2mufM9S838sH3TlPL2TuUhEuBPas35v3eyXVXwjMpa0C0l9uWz89G4H+unKo54aUS1zBUAU5COj+cYc46TZPyPZUZFJPD0b6qaec6uypzo5VZmLykaeEnjZ21FNH3dfZVyr9Umd+VMjvJfKlwryS6COVH+vSxBAnhlhlVqpL4nOf09YydfcO5qXYkoBoPKgdXQqs2pJvPXx9Vj1jv/YF/C7pP5BkVdHZx65FHluBxbcV+1UwJrO10tISkUkYsiB7Z93ueatd4kRB4LNOa9bvnPW7i15n1mrmGJzDDaASc4ktfU2gAntGYMtCcZy4wAkQdl5Ay0ryEqnP0MYCaZwjyCVGXBOta4K4JNAFDp8R2BmKzGFojuPloFOI9AwUZPyi9c27+yf1aBDpSVwmdujYUlLHKEbSaisXMJAVSlwFJG5TnStEeiEwGTs4aaMTqHay9tXJV1+O155MN9YDqB5ijRBrANIHOBzgcIjBIQb7SGPc2JhCjaCNp1x/rrALnpq3W3MUO0ewAkHSRgNwPdrYCNfX/Y110IAXbWyAhr10fa2o10Dcfo5BOdzI4UZJoPNWsyTwDEVyGF7U6pcQfINiNyh2CS8PxBxHL2FkDkMFAuU4VhB43iTSXjun+7nGFZZYeMvvWIkIPbaH3/Lnbh/JXDVxtXdJn5kfHQO7J3+0el1EphjovK9xgc6vtmKDRQCIHvuGODWl6TuFYFNNmqjiRBVDQ1ktHPMNMdDF6rVjXQDmG2JoSLEhg3euSH8n3Vpt8N8L6dUHLV4N5t/G7d4d1QGWdIVdNaPeDtqoVgmmmNwWRqxaVa9we+Bup1q/pTdwuzHWWwd35Qn6vSNe3amq+gxAet8QD3XhhUwDgbxXKgsGYo0dOXDVU0M4YgdHdO+E7p9yZKCLxaaVuNpYZk/J3uGgc0h1J/RgSnZDspfwdK7wM1tdeOr5SL/esd88da83gQKN+RddfaNIFwJb0P2o10rJbsmSJUuW3d4lRS5YatHrlsygpPrXNLvq05M0VZG+N+i/lafv9Xqu62qaVpFekoTHSF92O+cUuaAGZyJ75Wivt+0/fz18s2m/NpRziUuZfsL2Zyp/PTR+2nFeb9tXW875plWOjNRTE1tOLClT+Vzixlx3v0cc9JtHZNuX2MzVI1eb2rLvKOFQCYdKPFTjkRG46thRJ555YPJ7Ortn8c819keFfqkwLyV6X+VONRHA/m9I+tX7+GNXWmQLsS3kllhYYmGJuXXbvbNsLVu+BASRAkeqpLju2Sff8tXFckX698Os8jgrz+Zd5D/22sdID/YPqIIGmjm5oZSKlPU7eZMoUfQSxq4g7KKOnDeQBYLOcRRIt4Lg8AKBQRYZcAi0cl3gGBB4OUORMxRbRp4haAFBK2XkEHhw3mjMG41ZvV7Ua3ltDUSeQUZ5juP5oJObwirpfxns7/bDsJfYcmxpkcVENrV08W8Vge7BPrakzNaA0C+of5x7Zu4ZE41f8FTSbYYYHMNQAkM5DKdII4ZqIVyLkHqKQSkGgZa8BK6H9fWCwOdU71LlL3VxwZJFEy0R6BxB4vUNUKUfrq8D0gOV3KC2Eayt+U++DJ58ma6vlY062CdnKDTHkDmOzlv4guydcVTOkSHVKQl0ji+b6AoESjEowqGQgGZQI0OhrE0UdK/gqUykE5VPbDmxhMxVc09bxXz60Nrods9o1V0b3KYBG4AKerWGjiuJgo+8Ih4jPbg0gFt/r0IbuN2Bzgf6suTbfztQXMEepIeXf1pC9dpQ50NN9DVh+gjpq0BCJdF6t8F/76SXE1teKUG97cKt7ni3XQyg3am6BO4SNLb8djbnbfvIwC3oj7gLtf6syGBVibkMsYgHGv+jQv+oMi8N/oXGHlrSqaOe2tLUUyeuMtUFXxN8TQAz28JNI/S0I5k5pnqHg84pM/BZajLoRFS/UIW5o0W2NNs2zp/Z5zvWFWiuc7QrV11Qg7LfzchuwQzmEnupS1eGfKbwRa93QQ7mDDnvdkqqX5C9a5rdE8mfJ/0//MM/9Pt9z/NuR9Yaqz49R3bvkX7R616C4fSmfLVtnT+zL585i6H2etu+HhrntnJmyReOCrILr7ftmx3vctspR0biKoEj+bY41bmxyhwpg1d0a5dqHTCdsUQlthrZytSUTm0pcNVwqASeHLjqxJJOLHnsGgemuKfzu6bwo8r8IFMvZPq5QO7KzJEsnKjCWBeA4gEgfWh87nz2Hekt9cHLLHAEUGp3V3Rtg4Gzd4XoqzOXPrNPX93UPpD0VeayIv2DvP9wjz+yhdQWM1OKDGE5oFblc5rMO80cx0oUvUv6osgyJg/DZzAMkr4X6LJL+36l2HurwcFqYIHAeW0jWXsSffVl9NWX8ZOvkrUnZaM+hyEwqG0GNZImlkp09NZt4q9LWzhcYuuxaceWFoPae9MMdXNZT3ofOUpuqbGlRJYWmWpkqqljhJ5x4kg3hjSj+0WLmOP4AsNBtXwO1UsUBgZiG+dNHEQpMgjKm/iM7M7Idt5Ec7gxQ+FLAk9q6/HGWryxBsr1gSR+sLbmP3ky/eqr4MmX8cZaUa/NYeg26Q6BVdQcRxdk71wVSkcOLf6Spxe9To6hZQM6g9ErBD9HsHkDzpt42mtl/KDQ+cISE0sIHGniSom9Mlxk5ab/2H57dw2UvF3hcUv65W36Y4/Le0ifVDH8W4d+YvIrOqxv9W1Xv9xr+prqwuTW7wetYiBOEBrLRcDEEMfLt+J8jQM/gVV6Hm9t8N8L6d+7V6utspZFlO9//rs7/5NkY+95MrcfcZ/0q3u4ar6IwHi2W9J/p9KA9EemNPX0qacGIz3cNHynUl3TJ64y9pTQ0w5Ean/QftVvnfBUIHM+N4hEujDlwtMCRyqfmudfO+c71s1T50877uuheWVIJTMoWfJcFV67+k8j609bzk9b9pWjLVjmgqYKuj/vdmb0IOt3Lkl6VxgA0jMc/T7Sd7td13XBvFpQkfcY6ReDftFpz3rdBU/feMbNM/f8mX31tXu1bV1uW1c79utn7k9fe0DG73I5h8e92LLLoQ5yaZGnBJ48dsQjg33Jd16y7T22cyKSoIHYt8WpLYeeBkgfetpSb2ho7RvCK5V9qXM/yNT3EvlCpp/zg1cSvS+wx4p4qokTja9IX42meOv4/epdKPLD583K3KQHzumfbf/7Ne0Xgzlekab5EMB/AOml0lELU44MIXCkzFULmc06rTm+dN+Xtd84OsfRGfZwW9d9rsNwBX7g5S9W3qrqFJ9BjaJeS9fXAOPz2kZRry1Jj8CXGDKDGgkCpwKVOA9/01+25xNbTSwzMvTU5Wc7dLHJxvZSnSl5y1lRE1tdOr62mhpyqSu5IcWWFHlS1ibCRj2u1WYQDOrbzwhsjt/J1J9j6CWBXzWJSwIH4nRnTXzeIUoCLeBG2agvEHiBw3MYKhv1vLaR1NaXvXlP1kA7Pqjnzxo1MMAGCOlk8MYMaixq9bLWmGFYTvcTnQs8+cKQFgIzG/RmnfZ5p3vZ61/2+mfdbipQmcqmtgi0FBNLiGxhanHJym191cm7Z0vHvXL43t357rIuPb270tXE/JRlOvGteweuZd++88vvtW+t2v32bkMJDGVqKlMTRCKXAXzA/tBUQ1O97QfjTnW6kmWt7mxxJaIM9sx/LNLfXuyrWiarehKPvsNHYv49T/7oixeU+r9N+m8V6pUpvFLZQ10IXB1I5fhDLXCX7cHJ0ABKAOnIPJWYV/3W80HzQKQmhjhV2cgQQFVKYknzTf18xzrbNq927J92nOuhcekoF4Z0aatvtp0/fz1cNtbv2Jdb5o2unvNMSnaLTnvOkPmg+x7Sd/u9u4q81S47y7IMQzNN/X2k73XyQXfGUdeuDvr9X2/bbzbti6f25bZ1eYv8i6f2xdfOxTfu1dfDqx13MTSATGniKuFQmbjSsc2/ELoA9kfiAIiCTT0ZkD6wlakpBa4aesbEMcaucWiIFel/kKmXCvNSpPYl5h7pweCv+DaK/tYB/qykv4M9UJKp2u1upWZUEK16S3nmNsGfmZ+j2+3Bs/8eth+83lY0QR8l38ciP7KVmWvMLSXRhdiRy01tofJlu3UJNW5Q5AZHz5G7MamVUtsquecYAmL4dy47srQzGF5tElt91QxqAMuhetaoFfUamM0KOsfOCOS6hZ+hSIoihUiDNrBPA3tHTF0+tvnQZLNR9+L/QC//FZs/G4C5Bumt5H41PNd3uMSVYpNPFW6ucKXEZApdOPxlq71A0DMYvUaJKwRfIGiJwikGLZDGGQqdodA5Bl/gyAWOLJBGUV+fw9ByV8DQWb1xAcFnKFRijQUCg+VOtrFe1GszCC5hBFgBwTlUz6F6iUAgLD+HoZyA5hhyBSPXEHaB4kWvk6l8MtLCoRR5UuKIsckHBjsx2bHLj0diYsvZUIs3tdAVE0sobWnuKjNXSR0lMsXYFKuv/MjOfCDKuvpMkFipSB/epjk+4fWyvEDsZQs+8EzeccSFqS6A2u97sAcGQjKgPtzX5ds8vXRiiRNLCU0VDEAKTGlisqcmMzF5EDl47M7290L6R7rs7m3k3czJlVsx2KsP+UJqVaB6T2Dq0ZVBJdD5KOlX3tOSqkbNe0+7UwazpGrCTajzviZUpN+1xF2FPdaE0NHBUMqJJUVDPXK10JJBMjp01HJkTUVmn+k9p9q7Kn3qyhNbiDwl2zICRyp08cLTKld5KXH/jfd6274c6hebxuW2dfHUvv7Gu/7Gu3zm/MmzzwQm6rXyduucZ2b04Ipiquj9KulN07wj/Re/+90//MM/1Go10zRVVQX99Kapq6rM0kyfpnh68Kzf3ZW46wFdsuSs11+QvbTXOpfZn0bWm6cuWGgAP76SwgUC+KDDHgytv9g0ZrY6czXQSOPb4pHD78uDfbp9QLbGMg3G1EZDfeqpQKDet2TQIwE0VfZ0/oXGvtC5b8UBECMEBZCHCjc1ldCQQIoLXBWxef9U+83eY29DS3nnVqvGlpK6PLDEEYFy++0orUffc3Xs3r2g6Lt385mhp5YeudrUU2NHnlvShcCWzSYI14OIfWXvCrJWifmzR4arPub9A3qdN/HVtrELHJthyDmGXiPoNYRcoGjZa2cinZlCpEtABjG0xNJRzxwtteWlgNfHmRqZcmhyicMVm9z8Kbd4xs52yMeeXzpy7sqlwZdMf9YkZk1ixpK5Kcz7vbLZnKPYBYrfIMQljJ0j2DmGL6fIY8gMQwocyzG0QJAchs+h+kWjfoMilzAybzSuu+3X9KBs4xFezwloQWCXBH6JYecItkDQcwyf48QcxWYoDBYNZ8SydX4OI2BO7jkCndUbOYZGPBWMdHBkQQQi97TMXd5VV+unVvUoV8+QXxCejd/WInxgbfpXkG91UXtvZvlKhfZdXfeqzOrkFv/AJrePgFnJviUDnx7Y9K2+r9XxqXzV4X0X9rCk2LwbqFpJ+4F//W3vJH+9/bII2S84pquf+J7FehVnigwhUjlfE4414blEfa8xz0FFni6AedxjUzw1hNtJ05J/e6zLkTXmqd1B+yXTfSn3T10x8OTQEsGlMRsZF0/vxtiAVP31pnH11Lr52rncMc83DTD85nLbun7q/OmpE1PdhCHLfnfGDubM4JKkd2WGpwcU2aVpkud5VVV1XXddl6Hof/zHf/ziiy9+98XvfvfFF188efJE13XQZafrqmnqiiJVpP960NuT+RuSmXHUvD+YD7pZt3mp8n/atn/acQDdwSZebBoXm0Y1nB4YUPW73DIXrj5zNaD0ObWEY1dYIT0buZrvKKGn+UMj9IzA1X1LBTa11YmlvDL4Fxr7XGMB6V+p7CuJ3hN/I/2nsep0ryKEtxfGbdTUsqq278QGa+el2Mt73vBeWjF+uwBw1ZYjaz09dZRYY1NuUPTbJYG/S/qfU11FK9i/y/V7wq6rKu4gfF3F7Qu4MYeh8wZ03oBmKJx3mhk7SBUmV/jMXN6IC1spLSW15WW16ccYuM4jExQYC4kjxDYbWcx7XpK6Um4KGd1NYCiu1aM2kYjMtcDNu50UgXMYvtMSaDdB89sMQ4AtMPwCJ67w5hkKzeH6GYoUcCOGarMOccb04h4e1tfj2joouAPJdSCLO0exGYIuEJCYRy5wBLzzNYqdY+gCacwbtfMGNGsSCU/77zQOVBSPTfFhW3nOr0H6u4XFx6d73xO+utuAt5u4qqbt+wX2bzdw3+vtrnTc7qm4vNX69Z+G9L8q7H8Z6RNbjk0x0DhfEw514XuJ/E6lX+jcns4fm1Lg6qGn+Y6yrCi/bd8Hap6A9HtkB5D+xBF8VwpMAQQMyqF+eSt5W+nk3GyZ18/s19+418/sCvMXW+bFlvnfnnkFM0joQd5tl1RvRvcvBtSuQPH0gKZ6NE1yHAeK6x3HETj+LdL//ve/l2UZVORpmlLl6Xt0n2f6Xw+6ewp7Q1JzgVoM+mWvnXaI16b8/349er1tXW4ZV9vm9Y5VOfTX1RavjKu/2rbOhyYgfWRLU0s48fgDpQ9IP1G42NN9RwPz/qKhGXqG72gTSxmb8rEpHerCS4N/rrE/6OwfpcG3D5BeAaQHmbPEkn4j/UfZQ6RXbzOjoNR5GewCHa7p3XC2n3/P1dTA+9XgC1uZmWLGDqImmqLIHEeX4fd3SL86V616cePbXQAAIABJREFUpEok37OlgwtDZaO+bAq/ffkyew1DoCgvWXuSrq/ltY10fQ1YtrGewPWYQONeKyI7QRuPmV6k0Kktl0O9cI3bkviP2+GpW+U4lsJKkaGH+qP707dF3xZjk894Mm0SCYamvW4h88mW6uvMlO6EHTzHsRJG5g34rA7ncKNAoGVFHgLPG435Rm22vnFWq8/W1ufrG/n6erT+JIYaAQod1Z6E9fVw/Um8sTaD4AsUv8SIK7x5STSXuxeGzxHoAoUvsaWC/SUEnyPIHK6XjY0Z1Jh1WpnMAKH+5LZy7a0WcHuJqMqWkfaHCt8+6qR9P+kf7Xr9gLTLux2PD7xkJdO8Cua7avnb/XD72mXXQGTKwJZ/3o5yeH+YuiL6b6T/ZfYhpL//BHAILCnQed8QD3ThO4n8ozR4rrF7On+oCxNLAZgfO/LEksKlxqUauZpvycXQPOXIQ6q7x/YA6ceOuBzvYopzTwdxe8BN4DP/tGMvtvTrZ/b1M/vqqVU9frVt/c9nowVPJ4Ne3m4VZHdB9y8H1K5AcVSfofsUNWAYBvjtlmVpivr73/9+Gb3/4osvvvjiC0EQLMsyDENV5ar2/h7pZzy5GPSLbivpNv/iGf/+Lzs3W+bllnHz1Aakv17Z3Ar21eNnI7OqY/Rt8XQoVKSfqnzsmb6jgeG+0dCMhmbg6mNHPTalA13Y1bhXpvCjwa2Sfldm9iWmIv1E48e6MDWl30j/19htykoFjAfB/MhcqloCSxwhdaXUMRLL+Zl3e4fxj5E+cKTElkuNn/Fk2WtnKFQi0HkTf4z095z4VdLfs4rxgN/ZxtJzBe98SeBnKFI26tnGOiA9gH3y1Vfxk6/Cta/8jScBtBFicIijPoH6tY0Ah/1BK1To3NPykZnYamR+NOmr+37qaKljpLaVWGZimY89P3CkqSWEhlDo4kIWZiJXyHxhypEtJJZQ6PxMZGZkN2/iOYbOMAxkJYCiwBmBgcT8DGpka2vxl1+m6xtZvRHDUNREgzZ2TEATDBrDtXFjI6jXknq9qDdmdeisfhsXgRvAzhEIDJ89qzfmcL1A6xnemHWIuUDllhiN1Adv07ElvXuHvcuD/tI7+8eS/hfA/u2D9cC/Hu0afadY9fZfdy2Cqw3fj33Eu9noZRfiI4//sj3592P3QkGfTfrsseO7XMN5CkjVTwxxX+O/FQf/Vew/19hdjdtT2COVP9H5Y1M4scSpLUeuthzb4T1A+mNXmLjS1BLAVwOkX0Xn9Y790449G6kXTy1A+mWd+7Z9s+X8f99sXUl80usWrWY56JzTgyuS3hdojuqzzICiBjRNm6YJIvSOZT958uQuT/+73/2O4zhQlFeRnmWoPjPgmf6zfmdXZq4HZMkN5v1e2msl/dZfRta//+vT19vW1bb509fu62dOlZ4HdF8FP/j9bGQuh3m4im+LK9H7zlTlk6EF1OJCzwCwDz1j4mpHprRvCHs6v2uJL/Q70u9qXEX6iSGHhjJRxd9I/9fbrVCdljrG8gZkC5HFLKeqm0ZsSYnDJS6VuExs/7wG2YeS3hMzR8oFKmsToHQchIsr0t81170N+MfAf4/0APOgur7Y2Jg3GqCx/gyG541GsXHnxC9d+bW1dH0t2lgLoY0IqYcYHKJIgMAlikYIdII3TshmaAixpycuEPb6uP282gue/FwIMbHl1FPBUNTM1kpHB8oKkaektljY0pklnyn8jB7kTRzo/p4j2FKKDoFKFC5b2LzbPOu3M7qbkO2U6qRcPxGpWGNDi5/YXKpzqcKACbmzfmfWJM5Q7ArB5xg0Q++kcKv11nmLmLXxvIPnVHsuMXNLTF1p6twl3asZr499uw8H7YecXY+922Olar+27/hxF53zbnHMf1JbPaDJe0vof43PfeBxRw5dOfKU2JFXSQ98+iWGVO5Q545N4dSV/aEGKvKW42ttBZD+iLwj/diTfFsEVSxnnlFFwSt6Xu9Yi2315mvn5mtnSfod53rTvhya/+ufd96YajLole0WIP31gN4XaJ4eAJ+eoijTNHVd13V96HowDL9FeoZhLMsyTVPTlPeQftbrJoNOQvfebNr/z7/sXO/Y1zvWT1+7f3rmLuvvvhmCFrsqjA8q9QDpl2m5oerb4qEl7InkPtU9pLq+JiRDY5X0wCaudmxKh4Z4aEkHjvzK4Ks8/a7GvZKZXZk5VIR7pA8t+TfS//Iz3uZvNVnVxFZTV0o9NvXobMilrgQKg2ObT1wmcYQPvD2963i9+8LQFUtHTpl+hEBzGLrC8XMEmsP1S/iO9G8V1a+48qsGCulBlL6yol4DpE/WnqRPnmRra/n6+mx9o1xbLzY28vX1fH0doB1YvLGWbawntfWkvhEj9RhthBgcILAPQwmG+EjjGKmN+83QEMD6/X3KG4/aSjH5qvbn4y9JHaWSAAtsBdyAfJWeioMJ1Z52iRBHYxhOa/V8vZbWGslGPdrYCGobfqPmY5BPIH4LjaluyvQLkS4VrrSlfKjEQxVMeItsKbXlmSnOJXZO9Rbt1hlOFE24JNCSQOc4viCIRbu1aBOLbnM+aJ+z/UuVPzPFwhIjgwst8T29Le86ap+Kte930PN3ZCg/j+/7UWUB7y0Uf2Af/m9s8YpQx+f8so8uRm99+or0B7oASP+jyrxS2V2FPdSFI4M/tsXpSAtGeuhpS51EV/WdZUXe4aCzR3dfSD1A+sCRiqGee9r50HyQ9Bfb2utv7Juvnatt83rHfv3MvdlyrkbWv//r07+M7JgelN1OQXbPmMFVn9rlyCpPT5IkGGGjaZrnuK1W6y3S0zR9++9b0r9de19V5EVUP+Hpmy3nzTfDy20LuPJvnro3T50//WH05/+y+eab4Wqe/vUz93LLvNy2zjetZXppqE5sYU/nX/HkPtU/onu+JsSe7juK7yirpJ/a6lIX2lZObGXfEF7q3LdCvyL9K4k+kPmJod4nvan8RvpfeMbbYMw2iCvKmScUm2y5TeXbeOpRsaVEhn4rKqknlvX+d3uPS/fulTZ3lYIZRFCjhJFLDFsgcIksSX8P9tWfVRoe0L2o17KNdUB04L6vptuXtraWra0VT9byr54AK56sgQeXS4H1tXhjyfukvhFDtRipBygUIPAUgY6R2hhtRG0iF6jcVSNPmVpCZP6iXf1OoPJ9TcC2kDpK5ihgdEJsSbHGRyIZQsikAR3X1vfra4dw7QiHTlvoaQudwLAPIwECBwjso/AYhU7QxjFSO1x/MkWgqE2kg04psDNdKi2l8LRsaKSennvazFXOLHkuMXOqN+82szaSttC8iedNvGg1y3ar6LbKXjvuEAXdO1eFM0eJTXGiMJEuLYbWY8ozv+5J+17SPwz792L4nubup9r+j0TXA12Fn9nT/ZsYUB2uhCU+24c+pu29HM5rSUuNPF34TiK/FQc/yNQrlT3QhRNLPjaFI0uYjDR/qEVDHbRXLEm/ZZ8K9FGvvUt1novdfZs7cYSJLQCf/nJogqL1e6S/2tbffOO8fuZcbhnXO/brp8ObHe962/1v/7L1py0nZAb5oJtT3TNmcDmg9ngK1N4zDEVRlK7rYAy9Y9ndbvc+6UEOX9fVZUUeRfcocrX2fs7TiwEZsnQis5eb9vVT72LLvtwyL7fMn3ac6x37zTfDivSgQO9i07h56lxsGlc79sWWvUwvDdVTk3ul8i+5wT7VP6bJJeldKfBk37NCzwpcM3DNiaWdGsqxoYxtfeyoh4a4q3Hf831Qew+67N4mvfQb6f9Ke4v0jpgNuWKLnD3tF1v91BUjwwo1O7YUUHifuo/u3nu3pHt/vnuTjQxhYaslSyYYOkcxIF03x5DHSH/Pj68YD9Lt8ZOvKrW7Zd597Qn4L/DgAemzL79aJX2VpweDX5PaetaoZVA9QRsxCgcYMsHg0w6a9FtzhjzThNKRfVucmL9kjAoY0hVZPJjBBSryIuPRLEAMuoRtOTGV1FILU07Y/hiHAwQNcXzaRE9x+BhtHKONUxyeNtHTNnHawscENsHQCQb7KDzFEZ9AxzgctPExgR2g0FEb97kBEPGYe2ZuqaHORyoXylTAdPwONsbrQQuOmnBIIAG2tBBHfQIJmugYh6ddIpYY0PdfWtqlc7fyexCiH5Udf9/ee+f8eextC1sBttrgl4EB0w+RfvVEfWsd9pFt6w+mqN6XnXEfbCX/z0t6X+MqvcjP86E/S3pQkXdkiD/I1Pcy9Vxl9nT+xFamnn5iiUeWMB6qU09dttSDPL2jzLadicQe9dqvyPaPQmfPYo9tfgwGKzsKID1Qjq885Jun9p+/cf7yz8M333iXW8bllgkwf7Xl3PzBe71tT5heRnYzurtgSZCn5+kBOeiwLA1Ib9u2ruuWYd4nPcMw4H+GoS0r8ii6xww4qv91t3Ms8m8oOpXoWCAPZdI3+HJkXD/1Xj9zb546N1vW1cg4d+TXW+Z/+8Pm//jnp2++3rzedi+3zIst8+bZ8GrHPdu2ZyMDqAIFjhQ40kuFes73XtGdfaobqEI2NHxHOXXl0NNAl13g6lNbPda4E50Ph8rU0w8N8YVMfy+RzyUKOPRgNjBQk55o/MQQJyYfGsJnUJ7539VSj84cLzFHgS6HJpeN+uX2IB8qxRCUnsmRKSe2mrn6bVn+J/pcW05searRM6JZQPAlBBc4NINq5xh6p5ODwAsEBnH7KnoPHHoQn79z3DfWK29+FfaA/eAJydqT8Mt/CtbW4lotatSD2ka4vh5vrGVrawD/6fpaXKtFUCPBkJhAEwyJEChl+oXMFraUDZVkpCUjLfe03FUzg08cMR6qkaeA4XvgGwWOFFtSZkqZKWWOkg2V2BEDk0tG2qpM2HInOEpq8JkjVZN+IlNMDbG0FN/gY0ua2eqZKpUUmRDNMYocwo0pjjxi2BQHmF8aeOQEbRzCtRMMmeDYBEP9JpEwZKGLmWvGlhJr/JRqBS04I5AYbcQEXOBYSeD3rMCxjMAKHCtwLMYxv9dODTEfmeMPngf/sTVxP3/+vMtmR0ne7uD/EPvw8D74rAcXNOnKRByAq89ZXPYf2paus8atkv4z7Lp3GX93ZrpK4EjLwbuWcGwK3wrdP0q95zp9YPL+ph6M9LEpAkU837rVeB2p4VBJPTX3jEDm9sjeS7L7iu/v6/ShyY4tPrKlxJIuPONmy/lpx7vZsl5v22+eum+eOjdb5p+fuf/9D6M/P3NvNo2bTeP1tnW9Y10/sy+/cQpP2RfIPZGcc1TBDBYDcl+ghUGPo/ok2WdZ1tB0yzB1XTdt6370/kHS91myIv1PJJXwZMT2DxTyVGcTV1lsWddPnetb9720xZkjLTx17ulzT5+NjLNt++KpfbZtL7asYqgDzIeWCPqFdjXmhdB/yXT3mV6oifnIDFy1ks0JXD0eWcmmDQIgyZb+G+k/j0VOO7IH6ahV7nTzER/bfGRxqW1nrr5K+pUGvE/00ZYUW1JgsBftzgJBL+tQiQGVN+Qe6asiu3uMX43Sr9bWVZ76vZD+0vXf2IhrtbhWC9eXbWbL2P76eraxntTrMQylOJoRWIqjCQInCJIReNZpxb1W2G0urUOkEp0Z/K2zqFWoCN3l/HIwvDyy+MQSckucdolJBwc2bmOnLXTawvw2PukRpz3ilGr5Ep27au5psSWFllhsGpEphhITkr0Jho7rjSmCTAn8MdJPMHiCwWMUqmz5CA6fYtApioB1wBhD/X4nVbjc0XNLTTR20sOnaA0MxclwOEORBy3FUfBLQuAR2Us1AQyp+sDD/clJv/q2yWchPbAqNvDullSthhXpf4P9z9rqdODP6dM/ZrElVaQHkw4A6f9N7gPST0da6GmnhnBqS6e2FNhKNNQDT556cuDJqacWQzPUxH2q/4rqvRQH+zp9ZHGntgA0EkpLOR+a19suiN6DWrefvvb+9Ifhn/4wvN6xrkb69Y5189S+3DEvd8yLr+35pnmksrvCICcHJUteUcwuR4pk/xOTflemDhVmYoipp863rIun9vmOtdgyMk8G0cjQEICscTbU8pGaDbXUU+/G21gC0Hfc09kX0uAl19tje2C6H9ANBo2JU1uNR1a+4yWbZjhU4k3tN9J/rjNbKbe4q/8Tv/6/kHKbCgwmMHuZJ3zaKqp3DbRWBxpz0+pewth1bUn6qhseuO9VuL6qs6sS85Xv/hjmH7Z6PanX41otWn8SrS8j/MXGRtaopY1aDBTvcTQjsAxDUxQpYXSGYDMEKxCkQJAMRVIUiWEoHrQydlCowsxWc3dlAeQu91tiy6mnpq6UyLRPdUIYqmwKNSaN+hRqgFKAE7h+CG2ctPBU4QpPi4dqOFQSV8k9zZfoozbuE/ikAZ02GlG7Bfj9oK1ifhX2EwIZ4/AUxwIMO4Eh8EEz1yhsJdc4v0fEBLxoEyUKJ/WNx0ifYEiGoQkMBQgckb1E5TNbyz3j0eP7SLD9E55RD9Y9fFrSv7vBjyF8tbLsPU/7zR7bb2+LEPwttwfAK7T4d0m/b3D+UAs9bWJJvqNMXAUE7aeOCCzylHJkJaayz5IvmX5F+rEjBo4Ezo1yZJztOPMtq9zUipEKrNxUM0+KTS5zxMsd8+pr5+KpdfnMnm0bia0eqfy+yuTkoGCoa5q/R3pd1T6S9MyAo/rf9LrHiviGonOBynjypUTvysyRyk4MMXbkbKjkIzUbKqErhq4YONIy3e5KU0ccW3z1naeOOLGFscWfmtyJwb7UmefS4Eeu+5LpTnUhHZmhp4WeNrVlQPpoaKZbTjTUfVf6LXr/2Swbchf/hbn5v9Gzf25kQyY2jcSWU8f4ta83oBk3VagLrHkBoT9B6KKJLJAG8N3vldkDxv8s5h8jfbj2Vbj2FUB7Ut9I6xtJ7S4kAGTyMqiewPUEgVMUyTAUWI6hGYHnt+KyJYrmBJIRSIRDIQYnbbyg+zNVLB01dZSqEB2kABNXyUd65kg+1TlG6hO4MUWgCQYD//sUg8Y4PCGQCIEjDJ1CjRMY8vudROUTV4lGamAKqacmluQzfb9JhDjuo+gp8ijmH7MpAk1xZIxCPgqHOH7UqB8RaKbyuaumtpgavE+3wxZWNNEcbqSN2t13x7Ecx6o/Ewwpm0SCwFOoEZG9QhdT630685+N9Pc+8ZOT/v3ST+8++W/ulf7Hsofj53/T7QFt4aHF+wY/Mfkjg18l/dRbTlePR0a4aYBRNxXvAkfKR2ZsKXs89YLtv5DufPqpI04tIXTlZKSlm3o8VJeTFGxxaglThzsxqCO1H1jsfFs/f2bNnxqLZ2boysci+0qiT21pzjIp2b8k2QOOqUjPMMzHkZ67Jf0f+r1jRfyJpHKByjnylczsKuy+yhyp7LHOnBjsqcmNLfZQZ44M9tjkTiz+xOKPTe7IYA91ZvXxY5M7MdgjjT5UqZc686PY/4Hv/sh1Tw0hGRpVCUPgqmC2TTwyQk8LPPk3n/7zmUtlQy7x2qHdikw5c+zMkxNbXc6KvrXV6dGfxFJbzlzV15k5TpQN6AZG5y208ulXdfEA6aso/Xswfw/54Ge0/jbpa+tJbR1U6hUbG2WtVjbqBdxIkUaCNlIUAQYwn2OoTyAhgSQYkqJIhsMZgYQENMHrKQalKJI2iZQhwZCeO10zR0kdJXTl0BKnCjXuN0/QxhFcO0bqpxg0JpAxgZxg0BEOHRPwGKpHBBZgyDHU8NvNVGJTQwx0PhtqvsHnnjYz5ZMmNkaRpNU6rNceJfpKDH/1kbdJjx5DjeMmlmtCZPGByUW24IuDSQefoo0QbsxazQRDEgxJcbQy8EhMoHkTTzAkaREziZ9bSmYqsfH48X1cm+xXvad/KtKvyuI+Nqn5weevPv4359Zv9rEGSD+1hMDkpjo3NjhA+m+VwQuDqUgfDfV0ywLIDz3NdyXg6wLSh5b8UqR+4PovpMGuTh0YDID9qckBG1v82OInthB4MjB/U554wthifZtPRko8lANHiDzpyOB3OfKFSJ04gPTdB0lv6saHkp6nGUD6rwe9I1l43RskdC+jens6v6+z+yqzrzIHMr2n0HsKDf7cV5k9hdyVBy+lziupv6eQBxq9r1L7KnWg0YD6BxoNnvNcp3+QBz8Ivedi/8QSk00TjPX1XQmQfrnLHCXw5HT7N9J/JotMMdTs2DQTW48Mw9eZyOkWm796wiwyhGyoRZ4063UTBF5A0KyJXBJ3uXkQvQe/rKrV3vPd38/7Ze9cbT2prce19bi2ntSeAJ2c2frGfKM2q9cLuFEgUIpBGQ4D//UO9jiW4miOYwWOzTBshmEFjmQ4HCH1eYfIUCRBkKjXCmTGt8XYkbMVRRTA/kBjJlT7FIenCDRFIB+FAwzxCRRQeYojpxg0baLHaGMfaQSDLuiCSw0xc1WQBStspVSEaYs4qNfGGPqxPn2AIdVnBRhygjYm3Vahi5EtTEwWVBUUqpBRvRBH4yYe4HCAwyGBVAYeiVuYjzQiHJlz1KWtzx0tM5XC/tA8fWWfFvbvric+eZ4+/jAlqMdWNp//iv6PZQ/uor9h1iO2pNiRp5bgG+xU5051FpD+O5V8ZbD7BjdxlWioh54GMB+4KsjTRyM18OTQldORGdjKjyL5Pd9/Lg12dWpPow4MBjjDAJF7CrmvMoc6d2TwRwZ/qHNHFndkcUcGe2KwE5MfGxzwq/d19kjldzVuT6NSslswg9e0sM/Sv5z0AsOukv6m24+pbkp293R2T2P2NGZfZQ409lAX9jV+T+VOdPFY4440+kAh9+XegUIeqtSRRh/cGkD+nkICe67T3yuD76X+c2lwbN8nfTUtYOqIgScnW+pvpP9MZ7YzSB2lHBnlyEgsZ6rIockVnvdrX2ypISau4m/K5xKXDzoLHM0J6BJD7lXhVaSvoH6vBG+1/P7tUvyNpdXqeQPKYTiDoLTRSOtr6fpX+ZMvyydr8/WNslbLoXqBQBkO5wQC4tUpiiQIDEifoUiOoWA6HLAMRRIYKtt4hkIJAieDTqjzvivFDphKLMdgmqqj5J6WeXIoU5NBKyIwH4VBDH+KQD58awQ6xuEjHDrpt2KFKx218LRyqEemONu2QleOLel608555gCFJp3mR5Meh8do4xSDlk5/E43YfmlLqS0GppCMtHJkndnGTBB8Ah9D0ARb2hSHpzhc/TnGoVOk7hNIRvVyhS9spXT0jyL9qhruJ4H9ai68erdPRfpqw+4JBvzG709rq3v18yvlPbw9t6SfaCwg/b/xne+VwUudObglfeRq0VAHzApcFZA+dO9I/71EfissSb+rkgD2hyZ7y0R6T6F3ZeqVRL4UqRcC+UIa7Cn0gUzvS9Sxwh6p7KHCHKnsrsacWPKezr5UBxndLbnBDc0esKRI9nl6cI/0lmN/nE9/rIjAp8+p3q5O7ar0K4U60NgTSx476omtHFvqqSGNTXFiC74r+a7guwIovhtb/InBHurM7cqF2tfpfZ3+UaO+k/vfyf0f5MGxLUZbZuiosaOGQyUa6gD2gauCMEi8+Vue/jNZ6iipbSWOENlU6mjFUE891te4x7qYPpWVjho40vFIODflM4U777YyvHEO1Ven1MygxqpPn22sg2z9as7+/aTPNmpZvVHCyAzDShTNYTiHNrK1r7Kv/qn46ssSlNw3ainSAKQvCDzHMUD6FEfzJp7hcEZgSROLCTQisITAEwLPCDzEajFSz3GsZMnMUaKRWpE+c5TSUZPl+AChsKXSlhKy7XewMQ6dYo1TrFHR1IehMQpNekSi8rNNM/XU0BJTT81c1Td4MB43ktmFLp+p0nETexzq0IM2RhvHSO0EbQDPPuw2c4Wde2qkMoktl1t2bGlThp62WscNeALDJ2j9QTuCNyYYFDTRYwI+6hKpIc5HdvbB8+ArKn9a0q/q7wJOfELSgxL6SuX3XXGIB1WD7j3nb36B/51bFSBZVcr7m5N+YvJTnVkl/Xdy/6XO7OvsxFXikRF7ejwywIj6ykEFVWvxyPAdBUi7/qiQuzr1ShnsqiQg/a7Y25eoI5U90fkTnT9S+SOVP9aEA40/seQTXTxUuGOFP1L5fYnZE+lXKn1o8s9ValcfzPh+wXYv+uQhRwHSDwa9jyY9TdM0S/FU7+mgcywwOdUtmX7C9l6Kgz2pf6hSpzrrG6xvsKHJRhYXbBljRz6xxLEjByMdhDImljRxpbHFjw1ubHAnFn9ksCcaM1GYlzL5gzz4o9T7r2L3yJMn7nIcUOCq1coo9LSJq40ddexqJ656YIo/KvR3Evm9RL6Q2Vcytyfz+wJ9ogqBoQSm5GuCb4iRrSSudmsfPKHy9rimQEHTEAOdHxsc6JuKhyqYcAAEfQNHSkwlMe9mbIeGEJhSZCuBI4EELbjU80p9zBQSS4hsKTLl3NRLy0hs3bfUU4ebOvzU4SNbSuwlFUpHD4dK6N7OsXDExAElIWwxUjNXTS01s7XMXqqmV4Ot7n2j9CEkv/+OE5psNBR9V5jYXGLLsSGHmpjYKhA9TT01GRqhJYeamFhCagulJs5U8UwTLjRxrnCpSOYqM7fE3JJzTwtG+qkrn9rS1JSmluDbfLZlhK48tbipw088IXCE2BRLQ5ppXKmyc4VdyOy5yJzxgzOqe9ZvZwRSEuh5E5/jeNlu5r2W30LDDj5p1o7htaSNZgQSwrUEQwIUmqKNKbwRoPWQgKZNZNxGx210jEMTpF7C6IJolgQeo3CMNvImWrawHGvMG3C2thH901fRP32Vrm8UEFyiaIFjBYEXBJ5hy846YCmOTXHER2EfRUMcjwjCJ9ApDo9xaIo2xk04YHu5Ic1crfC01FHAxKq3HM3b+obMVHLPyEdm4iqxyaU6mxpiqquBq0bg1LXlxJIygENbeOz4ntDdCdWddFsnGHIENU7gOiizP0bWT9CNU6I+bsJHOLSP1PaR2iGO7CMNoJlzyvXHBndqC1NPjjc1MIott+SQ6oyhut+on2IXH2PaAAAgAElEQVTQcQvxYShA4BCGAqjhw1CIIhGGRhg6wbGjRn0Cwz6KHsOQ3+8sbPV806qGuMeOnHp3rTdgumtl1fDW6tS9U0az+MQRV4YoKreajHLy8ZNdVqH74fK0H2GuUl3v8e1gWZC1ubcaABgLXD52hdgVUlfMXanw5MwRQ5MLLR7cXkpHn3smmGsQL4dGPqzi99vS4RNalYUBf8a3bf1Tox/anG+IvqpOFeVYFJ4L5PfK4AeFfq4yh4YYekYytCL3Ts0djGeb2urUVqeeeurKBwb3o0Z9rwx+kHuvlMGeQh4o5JFCnerskUkf6OS+1j80qIknRCM1Gpq+owVbxmSoHlnCxJKSoRF5yrHJvTLoU4V8ZTGHEn1gMIlMldzgjKZfCKQw6PH0AMyy0xT1IyryKtI/I7snIlvQ/QVLplx/T2MOdWZqCYmrpLaY6lymMoXOVcMoI1MEVztQyAFLG/DL1JNPHOFYZ45V+pVC/SAP/k3u/1HqHQ+Vqacug/aeWmE+cFXf0Sau5g+NU087MMXnKgNI/1xiAOkPROZUE0NTrUgfWnLsqB9L+rtLyF6O1wwNYWoJqS2D/s7YknJXzd1lWXXq6bNNczYyckvMTaF01NxVY0sJLR60Gi7FHyxxOSDB5JOlpIYSmWpsact5cSMlGyqZJ2eOlFtyYcqlIZWGlHta4Wm5K1eWulLiiJlXnZdybIFRNEry6WZbpa4UuuLE5qaOmA21cmRkrh47amhziSPGpugbom/JiS0nIhV28HDQ9nvNqNeKe62o2wy6eEi1U5Fc6OLCUwtPAzI75VBPXCVwhHCoJK6U2mJmCpnBZzJTMFTR68UdImrjURtPO0TWxvImmmNwDjdKAj/DictW+6zTPqcHFwo3V9hzUz7vt3MMneN4DsNhvZaiSIjBAQ6fNOFxE560kEkHC8hWzg3OOOqaoebtVo5jIAifYWiM1BO0URLocgo7jMwguISXjXMJAkdQI0bhCIF8pBGiSIAhY6h+DNVCFIkQOILRGMESFA9vP/e0vh71m6UhFJ4Gzp/V8vu7m/LtULXUlhNbDWwlduTMETNHjC0pMBSQw1pq6VSktx5dyZWWMjPlUhFSlgoH3aBDBB3C7zXBzow7RNRtRt1m2G3G/W5GDWamPLeUuaOVQz0ZaaBOEFy5gc4nuuBTnQkGhyjiE+i4jYFuvQkGhzga4mglkzdGkSmCRAThE/gJhvhUL9PFQOPu5qmvTFyNbAmgvbJqIvudGcJqC/XqxOTVb/3XkP7XsEdnzb2ttVfhJFaZzOBzS0wcMXbkwJP9oTIdKbEtRKaYWFJma7mjZ+CF9qNKRL+R/hMfx3dqJwOdn6rsRKcCkwtMKdDlQFNPJOGFSH0n9/9NJn9U6ANdmLha5BqBvcQ8GMd6j/SHJv+9MvheGfyo9F8pg32VOtLoU52dmPzYEadD0R9JE084tpgTg51YUugZhzq3nJfjKYktA7dz4kpThTpy+FOFPdDoRBjMmcENyRzx9C8nPUVRNEvxVP8Z2T2VuJIZnHFUwVN7Cnmk0aEhlJYy14ScI3O6P2MHEd1dqPxPI+tPz7zrHXvmKoklhCZXRbrioRqM1NOhdGzzpyYHSP9Hqfdvch/IBVekX5bjOWpgK4GtBa4eDc1TTzu0pBca+51EficO3k/6Fbf+oy+GuywRuGFZUqDzgcaB225yK46YuErmKLnGZSJdiPRc4XKFjyUGXMmFLRW2tNRR8dR4qIJJ0pmjgPt76KiZoxSmXFhiaQi5xuUKm4l0xpMZO0gZMhWoTKRziSlktlC5QucKSygcMXHE1JXAkjM0wNjTT3m1g4hFOFTioZrYcm7JQEnU35ZjR0xUPjOlfKQnuhB3mvMGPMeJGYItYOwMwRcIOkPQBUFcdbsl3ZnxZM6RGU8uFPHMUktHTlwp8pTMkQqZzalu3mvNOq2zZusMqgrcsJJA5zh6RmDnGHqOLTE8R7EcQ8tup+CpVGFKR45VZkK1/V4zwJCw0chhuISROYwkGJo2iazfyQWysITCk3OTjeV+1m3GBJri6KzVnLeaKYpECBSiSFCvxTC07BxD4AiBAhQCNWhxCwtw+BRpTJto2CGCNj4mkIjAgFMbYXiE4SGKBDgcNNEAqgddPNHY3NMqzTtwFiX28tCntgzE8lJDjCzeN3jfECNTzBwxdcXQlceODNi/zO5/QIYS5AIroAYmF1p84kqhK9/V8Q6VcFOLt4142/A1LjIEwHXf4ENLzF313NVLR40MIVTYkz5xhCwDA2McPkLqh3DtBG1MCGRCIMdIHYQNJjAc4njSap2iyB5cn1Dd2BR9g1+le2iJgSncmrRqviGu2lQXproQ6KujTW5nLP3HhNmDJfexJeWGlJlSbMiBvlw0A68muXvOMoaR2nL8i4SWf7O/3iJT9DVuojAThfMNEZy0kSmfqNwLkfpOIr9VqB9VZt8QJq4WekZga6GjV7PXAel9R5t66thTjizhW6n3gzx4rg5eaeSBRp+a3NQSfFsMPPm2H0+IhzLotZuY/JmjzWw114RMpAuemnHUTGTODClSmRNPPFG5Vxrpc92C7l2R9BFL/bU+PQdILwozenDBUTOOOuJ6Y7af8PRC4BYsVfa7Ra8zJ/sXhvRmaP73He8vO97NyLwc6lcj42bLuhya564+s9XMVaOROhnKE1fybXFXpX+QB99Kve/kvr+ph54WOnc+ve8oga0sSW9rgasfO8qBKVakfyGzuwoPSF9F78HFA0h/Gyf8iKML1K1jSwLhx2TpK6ippRa2llpqZMogRJ+PzNTgA7YX9oii3170OnmnmbabSb+d0N1SoM404cyQ5pY0c+TSkTNHSj01c5TcksGiJx6qmcHnApmRnYzsZP123m1nnVbWauZNIiPwhMDTJpF3mnmvlfZaGdnJ2H4ukJnBlY6cDxUgOFgFDD/o233ATTM0pNAS85FeeFoiMgndK1lyxlGxK5SOXGp8qfEzXUiZfoYirxEMaKPOMGyO4zMMAz5xjqEFDuUEkmBQgiF5p5lTvUxmSkcuHbmQ2aLfzlCkgBsLBL1C8GsYv0LQCxS9QFEA+Ascu8SwKxy/JJrnGD5HsRxGCgzPu+2Q6qQKkzlKaoiJyscSEwqDSCSBpQqXyGwi04nGZhafm3zMd8MeFrTgvIPPOq2ySSx63UuOmfNsRPWnLSzqtTKym5HdZNBJBp2U6Wc8ea4KZwqfDDpHSP0IrgHReJ9AJwQ8IZZysxMMPUEbJxg0bsIxCo8JZMz3Ik9JRyYIv4NBD8v9fzttpTDl3JKBS5e4WubqqS3GJhc4wnSk3PnEH+aJ5oZUmEt199JRS0cuLDEz+DNVOdfUM0Oba9JCl89NdaHLhSqUQ/180zrftDJXBbG31JbnllIOdRDNmgr94x5+2kKPkfpRY+MUgyYEMm2ikyZ6K7mD+AQKCgmBIu9BEw0lJnNVkLoCFlqib/BTnZvqnG/wgOWrNtH4icZPNWmiimOVm2i8b4ihIQH7e6jG+lVspESe4luyb8mJrWe2UZhqqSugZjN2ZNBRHTsyWBf+7Tf4P6UB0k9VdqrIvi6DYeihxZ/q7EuJ/l6kAel3TeHUUZfy7bYWOnpFevCLP9QmQ/XUlb8Vuj/IgxcauatThzozsQWwQAfp19vqEDF35cWWcfW1++YPo8ttK9G5gO8nbL/kBgVPlipbKtzEFk5k5oVGnoq9hO2d0fSu8FeQnqGWpH9K9k4EvqTIc4YqmEFE9VOyX5CDxaB/1u/N+70zmrwQ2J++dt9847156lyP9AtXuXLVnzbNP29aPznmlaEudLkw5fj/Z++9m9tIsrTfj7DTIsrCkPCmfFVmGXjQe3k6iaIn4YGy8CAp9czc3bvvvnG/8f0jQYjSjGa6p3tdxERkKAiKogBUIX95znnOczS+qXNNlW1D9lpOf+Sih1z4gxBrF0EnK7c1ERnizgr2qtDRpY6uNFSxBvgrwF4qzEcxiaQNp3zqQmQuBeZ5nb4lsy3AIdKj9ctJj5RTiPRNlW1pnKXynsJ1AetBoa9JtiZ0VK6lcRYqpTNxcylgUsSAJid+ekhSHk70adoJ0F4o4IVDVjhoRoJ2POykYx6TsOQ02pRnqh85baUjZpie92v1KKpPUn2SGj5bCHI9inD8hBuknEXaSi/1lMzAEB1DQmGTCTkH/p1X92sqlGIH8LYmDIDgxmNOwN+jaAcnzMTSBHADPt0K0WaAGgYCI4oc4vg9Tk8x6h6jHnD6HqOmPnKyQIwXiBGFe8SCi7/wCMwlsA6BdSOhocIN+LQbW3JpakSREz89pqkhSYxJeooTE5wY4jOb25kvHo5P/IEh7R/S/gFBjnB6QPmtgN9NRi1NcrMATX5E7XmdHN8uCCjZ1YWcqbGWynbFRCPiv8X/pUktmCG66yervhfNIDUUuVEWWJrQFZOWnLaVjCtnHCltyWkHzERzfch1UpFryne58C9V34sW5utgWNtPtGmyS1Nd2t+h6CaJ1ym86Sfu8BeNSKCjMN2s2ABcU2EtlXcN6atoA3IO5OcCCzMnmVnYzWmWrlpQ7IJMR2WQjm8O+1906+qCmZM6ObFh8M2s0M3yTSV1x4Sb8WgrEWslIo3YUj2+1EiEa7HFmyV/NeTvJqKewLhgdug0dQFVEyyVH+ZATxdsMdVJRRpBqoYttAi846eafvKO9N0SC8jeBzXp3eAvboiFajhoCWkvK1uGWJVT8yf/d0mPYN+U+YbE1aVMQ2ZQ8NRWOBTc/y6k/5+W4u7qTFtnke7YzCq2LttAsGW+C1Fw8oz0mmD+U9X/33WZnur0LUlqKVJdYZtKCpH+jE+ecMkDPnYoxD/J6VtNaGaVtqE0Namhigjz89XMSo2cVM+KB5nFYy7yUYxeKIkbmG5os0vsAtEF4lCTpgZ4yKn3WWWaU+7z4E+G8m8F7c9Z8Ciy98n4OLw0Di89pBKPyaTJJpvx6B0ft9iYm4qM4olLLvkbSJ+IPSe9G4uO4jEvETejYSceHsSjo2ikHwn3k7Exnxkr3KgC71f0L2vZz8v655L6mFOmkB+I6T6X8ZiUxSS7QroFmKbKtgDTBewtYE752BEbPhMTZkk1s0pHl5BN3lOFHlnoyHeQv5KZCzlzIWfmdfpPQvpCZOYxfVPm56RHsH/i/S/9qLR13tYEVxVMyKHQxJZZj013E1ErGXOZlKNwSFtkixkvlRgshvpBekgSfd+LCeZ7IKkpQfZ9eA/z9Ui8RxEOchPzU27Q7wb9VnTRZROeyjmAsZi4GQlaQdrxE2OSflrkmCSnxHzRU4K8JykU7I4ocuinBgHCDlG9VHigMD1dMHUBkd5V/5Y32S/85tMSTZV3Damv8E4sapGkjeEeTvaT0RGbtCOhtm/B8y1MCXJIEg7lQ8PLXZroUUSPItAU82EgMCbRBBpsTBMjirSxBTvknwrMOBHvBfw9zDcmyXGQ6vtxj/L1aXJCEROKQnNrvumhf/q1Q5yc+sjxAuHguBsJNeT0c2NzS2FdVejrQlfK2DLrqoKbE9281FWZambxMoR1lvzdcKC1RFeDZC0W7EoZyxA7WXmmIPvWy6yjci05Y6l8V0g3YqFaiGrQRBPH2jjWIbAujnVx3CQok6C6ON4liQ5F3gVwS0h6OaWt81Uh1QG8qyuWyps6Zz6RHk2XRyfaG8BdAOFcli8kqaoIHcBaT5cGZZVmE7S0rxflr66ezPUAjyoCLuAHMttLx7sowxT0d/wUqq93/BT6ukORTijYT8Y8Ie2qnGXwps51YMaEnClm+grvCWkzE+smw52Qv0ORXR/WmY3rXbghFqo0jqx+kBqglVhyJMbWhK7Gz2ZyA2Ym0wFMU8k8W+w8C/pN9h7y6OHTJ3f2D9sg3f3WLv4fY/bvRfpfO8vO/IECv6dxtsa1NfFWE84AdyqnzyF7Y/BNKLa12Tlv7knV/adh/n/V+svWD6Sz7ipyG4g1makp6RZgqlLmjE+e8PH3XPSYn5G+bsitHGhmvxbpn5O+mZebefmECZ8w4Y98+EJJ3GlMU58d5R2JMdmkzaYmivhzVvs5q42h4MnpSUH5eT33p/X85yIciRkvGbHii14q9sdQpBeNuoGlTjwyjEfGkfBDOH6b/g11+jnpS9GlJ9Ineol4Lb3kiumpwk8FZsSmRiIz1sRxXnlY1j6vGl/Wso8V7aEAHgoABfeewNhsqsslW1K6rjJVlWmqbBdyd5Cdk94pacgjb26Yg2xx7yB7A7hLhTmX0mdi6lxKo+w9Iv25kDnn0tdcqiqxz7P3aD3B/leSHvBz0jtCxkvEHZo2CcIKBXp8ylW5jpAwI6E+7R/i+JgkRwTW970YYAsTipgS5HDBN8CwIUmMaWoUoAd+akj7+ySFpF5OfMmSUyafMJeCLob3caJPESOKRvnq2SKIEYGNiFlEOyKIMUlOKGJKkxM/OaaJEYUPlgIDNjFQeSc70205kP3LfQclUb9rL/67cVILMB1DsAzRUnmTTXbCi92lRS8RH6qcm4o4NDUkiXuSGpKYR/k8P97HFwaEb0DgAwxDa0RQU4Ie4mSPxD0SH9D4mCaGJDHw+6ex6HAx1Ccpz7fQw154xIJDvHDJhQGND0nsaT2RHscnODGiyD5N9oP0mKYecHKKEzZJOPEll0+NVMFTGBfwji7Opy10DGEm5AZMG2YcyPZkZsSlUd3BUxgbMNaz96elfS3W2LqIhkZbmmAZopdTXEOyZdbmk+1kuB7210JUPUhU/ViVwmoU2fDTjaC/tehvR0NdLmYDxjGkNuRbMutosmeAtsJ1n9kIdjWxqQlVTbzWhWPAH6ngPVTfSuJHkasB3lR5B/K2LqLq/lwOMitX/+D6zudDtnW+A9hOJtpa9LcowqFwm8QsAp8tnLBwwiEplyBNDDcp0owumnzChIytcZ7G2zLbTUTN8FLHTzVooh2kTYq0CbJH0SZBdPyUGV00U5FOKtLJRE02bmZijpByIWtrQgswVSFRlTJdQ56jfV6hR5H9d6Sfw/7pfMB99/MtJYVE+OYzZFpPXXB/+T786H7+vRj5I9KjFN3zJzm7cN/KuedNeo4utlThShU/atJ7TXgDuXc6d2gINV1q6aKpC44u2hrXVZk2zKAM4l/S6J+t/L/7+svtEXX6mUDoqEJdYWsy0wJcVcqccbEjNnrExT6KyXPAXKrcjcpXNbGmSw1jRnqkw0d1+mZebhWUUz52woQ/cEtXMFUzuKbOodprV0yafMriUg7HOFy6J7JTQ/7TSu6PFf3Pq7k/Lhuf8+CLKt7zzDCd6KVio3DYY1JeLNGJRwbhxUkk/BhJXKV+g/b+u5jei8fGiWQvnryT4v2i8ufV/J+L+qMuP2bBYzn7sJr/XFD/uJz900rusaje58F9SX2s6I8V/Us5O85B1C1d09g7jWlobEfl7iD7kYseMktnQtwuqpYhNyGPKvSI9HXIXUkzup9Kqe9Ij7rsPjHJGz5dk7k56eeJwac0/i/9JLSMr6RHG4fDpb1IZITT3k+YR/vHXNqVM7VIoIvjDwvUFCcmBDYisKGfGPoJxLMJRc0nqfdIvEfiQ5IYEdQQJ8c+zAn7G1ykkVp0aHr8Ap/6yBFFzkLhrwtDq0cR3uw3YCMKH1H4kMT6+MJnkhwF6GEyOgCclxUtTegCFtHrb+yAz/28/s4dr/FNnbsFaTR2vStlWnzSlJlOlrUz0VGAvifIIYl5ftyhfA72U9+PD4PkeJEeBf0DmkSvekCQI9Lfp2mL8NnYQo/0jSiyTxF9mvZIckCQQxzv4wse8ZNH/NTHF8a4b0D45rAfEcQEJ6YE+UBSA2zBJRd6AWJEkfcEOSZJM0BY6aWqlrKKUlPNdDXWNaSulLHFjC1mxgo3Vri+wppP0kKUzzchYxu8nRVQoDxzRAecZYjmPOZ+SmKjhgvUcmlrgmsInsbbgLEB05QTdT5aZSM1Lt4UUx3AWjrn5ERP4zsw04asrcuuKtlAsKBo6tJXw2BdaBtSzRAuNf4UMqfl/Nna6oe1jXf5/IEiXIFZk5uDOuafutRMXfo7pNeElpxBrvi2zLajoQ5F9ii6S73okD91qRcWjVs0jlIRJkEMKL+LERZJ2pFFh0s6gHEA4ylMJxNvBQMmQXV9WBfHbT9tE6S3gPcouoNh7SDdY5NDyDuAsQHTN0RPybiQtVS2ozItjasp6Tsx3VRYlK5HGXtE7oacrksp9Kn8SyEe6r+tg9n5oCGnG3KyLiWacrIN0h2Y6cDMHJn/AOl/r/U3SG9/6wqAzmfdbx3y58i/ULmPkD8x5NNK4Xxz9dNa+SinvZa5WlZuGLKpC31D9DS+CzINmK49PyZ+6833T9L/J17rpyQK6oboQq6usDWZawChKrGf2OhxZumIjSLSnymZMzF1JqauFXZes58J71WxrgvNvNwugjMxMSd9Pcs3tFluu6Oku1LKldmxCh5zxmNRfygZn1eyw6IyWdEmK9q0DD+XtAdDGcisK6ZNPmHl5T6Q6nzCii8Ok9FpKn3K/jZFHnLOqUTDNZYZJePDWNSLR6pCzMuK/7pe/FxQH4vquAAmBXBfUh+L6ueS9nnZeKzokwKYFmczbccFMCyqti62Id9SZ0OB2jBTA+yZED9iwxdyqlMAdh62VKEOubYhIeecGmBvlMyllDmX0h/F5Cc5/VFMfhASH7n4B3Y2aOeUid0Kmar0deNABT9E+pmE9XlX64+vrg2YLuRQj5OlCQ5gHDlhiRE75LfCQScZHkvMIBM1KWxA4GMfNqDJPk26NOFQeI/Eh7hvgvkmCwsoxEfEGtPEA03eE/jU5xtjeD9IuxHaCVM9GhthCxMMn+LEc0d3lKzuU0SPxD0C8wgMjWOfUNQDRd+T1D1JfXnh8/xkh4m0YcZUeVcVHDQOOMu2DaYDMx0lbSkZGzCWyloq21HSlsrammACoS2xLZntqFw3+03/zzemHzpjaowDWRswJmRMyLmAHwDBhazHJQfhxRFFTjB85CN6BOmQ1BDHBwTu4i9s/CebXBgEiGGQ7FPEFCcQmNGhxyUwZC3n4rSDEx5O9CliQJN9ikApkHsKG1O+EYWjY9OA8I1x3z2B2yG/Q9MuQfYIv0NSVihgpyJIqdATM14y2o+Ex7HoIB614+FmNOgshZx42OOSA0MYlIBdkNo6XweZOki1NGbW4CezjsJZmtDO/jDgm9fLzSflPOqd6yq8CQQTMiZkbMDMvOGgYkIOyTjammhpgq1xls6aBtsDTFthGll4k9c/qPyxxl+Ujeu18vXmanV362Zn+7S8fAjVj6JUUxU3p7laxlJZG3Au4Acq1zN4UxdqT12jX/0Vnp6no4uoXaJjCF3AmsmYGQzaBG0FaWRQb/sp208hQ1/XT3s4Yfl8jYUXtRDVERIIxo4heQJTDdI1DLMpyiEpE8ORuX2bJFoBqhNbdEWmp0vIPcLNyp7KOXBm2DDrBJFYU+Y6gG/JLHIIr8qpqpRpSFwbiB1FactSSxLRnw2Bb4pCR1GaotiSpLYstRWhrQgzRZ7E1iHX1kTLkG1VQi2vSKj8XZ3ld1ftzV0ozKeoDqUZejJjAwYNKTch11PFni6hzhpbEzzkhgSZmcWIwjTFeMtgm1mhA/g+UHp5vV7QTrLCoQ6vVkvVjeWb1dLd5kptb+vDSmkTCueCXNOBA/mezHQMbiSJDZW3DNGBrK1xtsb1FbYnZlw5Y6msbfDNrNDMCu2sgA6IniaiGspfde+xnhIPz2/v/5oT0v/25apCFwp1ha8rfBPKdzJ/yj95ukipc8ieAeZUSn0S4ldKuqpySAze1ma9Y21N7BqylQNnMHnAhj5y0WuQahh8U+eqIN1UM3UpZap83xDHeflzSX2saNMiHBfAuAD+n83SH9fyn0vazxXjoQCHWenLSvZzHvzbRslb1q7F6CQVHyQi01jinImno9FUMh5LRBOppCRJUAGKovw60pcjSzWWGSZiw1jUTUSu+YiXFf9to/S5pD2UtUkRTovwsahOi/C+pM5JPymAh7J2X1InBTAuqF5WRkVKRPqOylRV7kyIH3ORa8h0i9DOQ5S9n9fp65C7Bcy1ws6y90oGkf6Ej39gZ4N2PrHxGellvqUI38X0HTC7y59/jH90RdGkUaQk6kLOgayjMibMtJPhTiZq8vGhyvW5pB3yT/yBe5weLxAjHzHEyXktGUXhJoU5fsLzk0M/NaGoB5J6wMlHH/FIUBM/3Q+SvQAxJLEx7htjOAL58yltXyevk19r1SPi6/J8C1Y4aAPGzUs9XRoAYQC4HmC7IG3CjA0zDmQtle1qbFPNVLV0G2ZaIN0CDGq+N1XehFxH+WGfbltnO/PpNbqAzE8cQ6orbENMNTKxTmzRDvkHlH+MUdMFaoTTI5weYERvYWHkw6Y4NvX5xn/4g/PiX2xywVkk7bjfjQf6YXroJ8a4b0JRY5Ick/g9hU1J34RYmBAL9xQ2ovAB4euRvnl6A738cZCaUMQ9gT/g5MRP9+NhW0xaBm8rmW462grRXRx3cGJA+Uf+4DAQNAnCoklzKeCko66UcuWMC1kPCrbBWzrXVZkuyNhg1qeOLOf+7nq+73e0hGWkLCNlamlTY0yNtVTeBIKtCaaOzI7EJ0uGTFtN9wpyS5dPhPSBxFyWjLv1wu1mubG/WdveqO5sXGyuHpeKb1TljcQey9yFKlZV5hpkrqRMXZlt8R2Vaxg/JL1rIIsV3tQFS2E7qVhnMdTx+22SsAjcJmfKiR5B9giyT1ImRXRJvOknu8mwA1HaQLA0oZuI1vxUHcctyu/QdIfAmxTWoPH2or8TW7TZhPekz28rDBo8+Nw2Dgk5O4Cvcsk7PnkrJmpKugrSVSmDUm5tILYUoSnz89VShA6U2kBEa57SRzmAjsiYIjvrLICsC1kHsrbGotPnX71Av8+CXPdZ3DwnfR2kanqmZnBVlamDTBuyLVWo62qRlNMAACAASURBVEJTYdtyxpUzfYXtQ9ZT2T7kRqrQzLEtg+1mxY4uXUPuUEodSOkPKn+zuVrfWW/ubbZfbbb2t642K+8K2p6u7AHhSOVuAGfKXEuVbFm8zvIu4Ds5rpFl6gbTMTg7K5gFsZHj7oxMR2W6GovOo3PfBVP9K+KA2Xf+8vv/JP0vWK4qPIvppVuJQ6RHMf0ZYM4A80lOI+u6msYjxnd0qf3EezOr2Hl4rmaOucgnMXqrZhDpa0q6pTFdyHlZeZRXJgXlc0l9KKuTAhjllYey9ueN4h+Xs/d58KWsPxbVUU7+vGw85pR/XS+6JXjJh4fJ6CARuY8nL9jEbyJ9LPFXSH/JLrk58V+3yj9XjM/Lxn1ZQwE9Iv1jRX8oa+O8gkg/LcJJVp4W4SgPkWtYR0XKdgZl70/46J3OI0UemmU398xBdfpbyF9D7gqwZ0rmg5g8ERLHfPyYi30Svid9WxFaMt+UuO9I/3z9LYeNp5Y8S+csnUNPtQ35me+NxtoaZzHxboD2SKr/E9am8C6J2yTRJ6kRQU1waopR9wSJ+s1Qy5lDU2aAaoWo5iI1xaiRD+thvgG2MMZ9EwIbkoRH4s8xPyQJBP4RQTx/+PxvrUW/w8R6OWlQUFwx7SYig0RkkIiMlhaHS4uDxVAvsujFIz022VfYgSG6BbGtsw2YRoLeLuRswDnK9xWp+a6N+rNndV9D6GbFjiG0df6LkX3U9HsIRhLf41NohLGdiXUTUTMZs1NxNxntpWKDVMyNh7pLlLXo7yaCbTHa0VKWluzz0Wk48EASCO1j/MUY/2mE/WHo+5cR9tOEWLgnqQmGjxZ8Yx82XiCGC3jfh/cwfEziI9rXoxdc/4K3iI+ii9NE7D4eHy4t9oMBjyQ9nEAMG6A+hQXMxXCbxGw/YS/RdiTUS0RHmWQPefypbFdluho7M277m8lP69vdE62WIreB0gFqGyhtIHc1saszHS1lPds6ZzaLKtvV2GvInAL+EIhHhnq5Urzbqtxslq+3ltu727XtjYvNyvFa/nUJbqvclpzZljLHuvAecO+E9KnMtg2pq7EtwMw9H2db87cjBBGWZv+pkDYzCTMZ60ZCzRCNGgLRsNr2bNRexEyEHSbuyhkUBTaldDUdqQbpmp+qU2SHors01aCJup9ohgOdVMQRUi7gXUNy0KkCsDbqFNWQZGxmcdMAXA2wDSDUodBQ+ZrG1zT+DvJ3kK9DqQbYGmBRvbOusM0nw5wmnEn5GoBrPj2sK2xLERqAa6lCOyt084KZE0yD7eqzTBVa/xk7+9z/A51g5rqNpsqaumDr4qzoo7BdhW8rnGXIlsI6XNJJR51k2IyFrHDQjYS8aHAQCo7CUZNjP6j8nsEfldXm1srVxsrN5vLtxnJtZ6W6vXy+lj+pZD+s5veh+ErhXun8gSG91aVjmTtWMl9CsWEkNAwH+0sBdynoLAa8cMiLLHnxiCdleoD1NP65QZP511L6/0zy/5aFIkBE+rrC30rMKZ845uMHmfAHIXGmZM4BUounbiBT0/iGITaMr/FqR5cQ6S9g5iMXPZNidxqD3OQactpEIs2cMif9Y0V7KGv3Ze1zSfvTSu4xD8ea+FhUHwpwlJOnJfUxp/zrasErgAtmcZCI9BKRaTx5ySX/cdInk8l4MpZJRCvRcJ1jB6n4nPS9nPRv2xVUhkekfyjAcQFMixDF8eO8Mvs6Dya69FhU74v6MAdcQ+qoXAMyLY27BpnjzNIxF7nTeTTepqkJyD8HLTSovq5LVU28UfnnpJ+pIWakZ78nvcTNSf+99vXHV/TJrYxDbnRdjW+pUhPKqHmpkxMtTbCEtJuMDmPR8VL4kQ49UMFHMvhA+O9J/4igBhQ98PuHdGBM+McYNf6JmPioKRWcBBdHi0u9gN/DCc+3MPS9mGC+CU4MaNKlv8/ez2P356RHMe4oQE9CgV4i2udSQ8j3pLQVDZkU4ZH4gCZ7BOkShIljHczXovFuNOhxyaHC9XXeURmEN2Toa0LO08QfDpzVpY4uIVGbKWZMPtVlEm0m3opGzHDEDoZcv98J+M2lQDu11OKijpjsK+xQkwY6cHXYVeW6wl4LyVY8UU8nb4XMjZKpSpk2E7fCSy5FuxjuYriHE0il6BJEj6L6tH/gXxjRC0PqxYB8MSBfeNQLm35h+V9M/+Cf+PwDgnTJBZfGhn5iTJLjBWL008JowTfyYUNyVgXwCMzBFqY4McZm6QGPxD0SR2cvM7HkcYk+5Byd7xgcamb9G11M8xKsiVS4zxxeLR3YmmZCDU38s3TO1NJIADFTeCC7IV3sGMIhZN8C4WJztfFm/3pz9W57ufFq42y9dFbInRS0o7J6tKa9X1P3C8q2Jm6p4ssc2DfAtsS9lblbQzF1oaMwDuS/cYt7du1agGnJGfQznia6qoCS6iORGzBpJxGzoxE7EnbD4UE8PkmmbMBYctpTOU8Tkci/Kaauo8ErEqv5qSpJ3OJYlSRuaOx2kWqlwpbCOvq39jWQszWhm5dMXegqvKXwFpQ7UKoB/kpm6rJUk8Rbkb/m2Us2c8GkLxjmkmVrAlMX2brI13muIfAtSWxLfFNgGyJbF5j5N1uS1JDEuijcScKtIt4BsabKLV02dcmBvKNwXzEPGUudmcV2ftx78mvXc5ebr9lvnbM1YahJUyBNgTRSpZ4uoYJOPw96MuelYm4k5ARIx0/0KGJMU59x/OcFaoSHbuKJwyz4uLVcfbndfrl7u71e3d28Wi+fFLTjPPhQ1k6XjdO13GYRbEF+SxdfG3BPkbdEdl2Jj/DQGMMfFvD7F1hvYcH2vegtYGOMnNBBLx7pZxJ9iXFVDiWT0I33ozaN7wT8/yzz/8KFaqPohNqU+Rsx85GLH/Px95kw0t6fA+ZSYa5BBjnB1wyhnhUR71HUirL3l0r6Axs5F2N3MNMyZt09ji66hjTMgVFOHuWkh7L6eVl/rOiPy8ZjHv5c0u+zylgTHwrwvqSO8sqkCD/nwf+7WuznwWU61I+HvWRknPhtMT0iPZOIojp9PzmL6W+YpWFO/vetymNRnRThtKQi0qOYfp6xR1+P88pQEx6L6peyPi3CviF3IdeATFMTrpT0YSp0xIbvdL5tSC1VeG6Fi6R5TU1oGHJNl+5UAZH+SEwc8LFDNvpBSMxj+prANGUeYb4pzZzyfm1M384Kliag+nRbYZqQNzXFNXRT5REaPSh4QnrApyd85p5Jd5hIJxPtMjGTjbf5eJWN3HKRGyFqp+JmNNwJBdvBgBVe6mdSPZH1FM5NRt1IqE+TI4KYEBgqb/cpYkzPWsvmsftslAs+Iz3Ssg1ochz0TxaD40hkFI0MEpFeZNHxEy6BzXMAs7w3SXkkaVOkE6DdoN+NLbmpiMcleoBxVaTpZTsqh7x1uyrzLAHLz7zJdMnSJFvMOLGoGwy4fr8b9Hf9pE2RfRxF274eRXhh2ksEe1ykL6dcVWhqyjmQDqD4CvK7kNsCwhYQNlR+Q+U3NW4LsltScltIvGGjb9joWzb+lo2/4xLv+eR7PnkgpHZ5cV+UXwryvgD2eGVHAjsy3AZqRWZ2BOYwE7+MLDWClO2nbBrvEj95BIa0/R6J9yliTJKPBPUFpyY4ent9A8I3ovARRQ4IvIfhbT9hR0J9Ju7Kma7Gop3RBtwPexbUr/4KT0p+tqNy99u+6SY9XA57+ZStcbPpA1Ccb6YotrZVqaUKVZV7l5dfZ8GnrfXb1/vnG8t3u2uNt1tnm+WTYvagoB5W1KM17WAFvsoru5q8r6p7WbCX07Yg2BW5T1Do6JIDeVdmf0R6JPO21Jl5DgrTO4aAMoRNnWvrX7v1LE1oqpm2wqBSdEfl7KzkGpIpZm4DVCMcqi0GbvzkTYi+WfJX44ttPo4ONx2VawEGlYGtJ0egLuQQ6btQqkPpShFOZXYdcuuQWwOztapyaxq/pvE7Grurc7u6sK8J+5rwUhdfaty+yr40+D2N3Yf8K018pYl7qrgF+S3IbyjsFuR3NHFfE95o/BEUzlTxWpNnGlvtifRP6bffa2dHJ7a5IKsN0l2VsXTOVHlXZPqZlMukTMi181I7L7V13pNYNxN3l4IuPZPQTgnykaL7QbIXDNxFI2+kzLtK7m5ns7WzfbW2cru3WXu1c7WxcpiHBznwsaJ/WDGOyup+Qd1V+G1DfpXL7mj6BpRWddbzR2w/MfJhk4WFvh/vLVHjoH9IUl0cNwncCdBuImKLqa7Gt7OCqSNjLiTh/P6k8s0d/qQ//We//t9dqLelDmZ+D7dC5pSdkf6Ii51KqUuFuQHcrcpWVa6uC1WdrxlCzXhm9mpIXUO+kFMnTPgTH7kGiYaWacNMR2H6hjwuqNOSPs4ro5w0KSj3JTgtwmkRoqT954L6UIBfyvpjRZ+W1Omy/nMZ/sdGZVwAV+lQPx52U5FxInmR+Q11+mQ8EUtEM/FIObJUZTK9RLQfi9jxcDW9NMrJ/7G1/FCAkwKYFOF9Sb3PA3TumJP+oaw9VvRRXulp/H1J/bliPBbVQVYyVb4BuKYmXIEMMhOo6nxLF1uq0Dakenb27sxs8nSxmVXqunSnCqiZ/kT4hvTnTPxWyNRFtilxLZltSkxTYub+Oc8HY8zu+B9f0abOdFUG+Zchfz0Hin2FHwqZXjo+YJK9VMyKhqxwEDmKN8P+TizkMLGRzEwAP5LZkcxOAP8gChOO7aWTVipucSkTcsgG2MzErGioF/CjVjoEdQRyFLUPkAVsgB76qYGfQpH9/ASAfmAUoCd0EBnsIOHegCbHNIUa0pBY/ZGiH0hq+mRi4xKETWJOgHSiix6XcACD3LZtgzc1tgMzXZWZj+fqQq6riJYm2arksel+KDTyEWMfNsGJzzT1QJMTikJz4vu+F33fi6HvD90o1UwtXrHJQ57d5dl1RVjX5M2c8i6ff5fPv8/lD7LGW0PfN9QtXVpThX1Z2JeFPYnfk8RXsvgGyG+h8gZKbwzwOgv2s8qOLm2pwpYubhvyTlZ5qRqvgX7ASSeJzFU42g4F3SA1CBATihrTFNJFDvzUKEBPA/4H5OdDYgPC18cXhiSGnHn6OGFRmEORbtBvJ5a6UgpNh3OUr2L72Sb4F0ql70TUkzV8vBwYFMKunrABYwPBgrIJpC5gZ9NrkIBfk+q6dAHZPYN/V8kdLFfelwsnlcLpcu7Dcu5oNfdxrXS8nD0s6wdl+CanvFSlPSC+hGBXk3cMuKXBTZE9lNmGIaJOv/lEJVP9hvSzXvNnr6Kr8W2dnxvtzcu06ImhRl70otCUPC8re5rYh8JIl5GdpQcFVxVcQ+rnAcpkoBZ5lM02IdNR0vOQugOlOyCeK+KRyL8RmC0g7EHlla6+yervC7l3pfybgv4yr75UhT0g7AFxT5F3JHFb4nZkbg9wb1T5NZTeQuVAV99r8BVQdmVpF8ibUNpRlV1N3gPinsC94tkDUTiR5RrgW6pg6sIM9v8o6b9Rqz1TsaHvoKQ9Ogoj/2mbTbjhRZsguzTVykTaMGNCxuGSZiRoh/wOhXvEgkcseL6fegsLowXfgPBZNPUpGdvPKu9XSrfL67el5cPlwofV/Me10vFy/rCcParkjiq590X1XQG+V8EbRdrJKtsFbTVvrGtgVePb4WR9kR7i5MMC3qcwL0hMKGqCUxZJODjuEkQvGHAzcRMySJpnKTPSd6HwtcdPYy2dm9/A5lNHyTxl9V+z/remEHShO5tam2kB7lZInbLxYz75jo0c83FE+lvIV1WupvF1XUB/ojXPT7d08ULOHGeWPnBLl3KsqqU7KtMF7CALH0rGQ8kY55VhVhzn5UlBQbXvUU5GDP1c0h4r+kNFvy9rk4r2eVn9v1uVSQFcp0K9WMhNRe4Tqav0byB9KpGMx2ekRzE9In09uTg15P+7ufyYh+O8MkV0z4PHPETy+2kRTgrgoaI/VPR+XrY1blKEn5eNx6I6zEqWyjcAV9ela8ggg8A7jWtqQlsT23kF5T3msG/pYttQ6rp0B/k56Y+42CEbPeUTF0LqIhNHYvsnzKebUhpZZ3dUAZlm/0JFXkNNdJSUo3COBpysammSycatiL8XDHRxzPPTPYpwcJ9NYh38RZf0jRZ8A4IchBeHTKInoVlkGQeySBPbMvimzqFq90w1kwjbwUCPIFGw3iPxPkUgcCKQD/3UKOgfLgZGS8HRUnCexn+e2x+SRJ+k+jgxxPERgQ2ImX6th+EO5UMt1A6F9yhi4KeGfmrkD6AkgedbQN41HpNwIG8ZsqWzpsYgOD0vSFvyLHa02cQgFJxg+ATzjUn0+30OhfcoakhSE5x6WMC/vMDrAfp2aek0mTzghbeKemgYp8X81XLhcn0FrfPVykml8Dan7ejyhipsqeImlDZkYQtIr3T1oJg9LueOStmb1dLZcv6waLzMgZc58K6gHRT0w5x2UDD2suqqqqzK4iuOuY7Fe/7AnzBqsoBNMHyM4eic5NKE4ycsen54wgYECuvJIUn1cWJAkwMC7+OEHfJ3mZipsY4u9sD3Fihz0n+3+5vPlE1IgteRha4idqGAJg0+Iz3j6KKZVW6z0gfIbqvM++XcwUrpbc44yhuHefgmp7wt6XuGvKtLO5q4rQo7irALxF1NfpmF+5qwpYoburIJhT0xdaFyVl7uwm9mJ5rfNl99t5POUgt5uZsVkeQCeT4i4cXcLKELWKQ/Ra1ESImGgrx5KxdqNZw1FqPBjAaPOt9cjXWyfDsr3Kj8icK+Ufh9KO2r8mHROKkUzlbKF2vLl+sr5xvLp+vl4+Xs2zx4qct7UNqG8qYirsnsliq8LChHpdxRKXdaKZ6tlE8rxYOC8TqvvS7q71by71by7yq5VwVtW5PWALcCuFXIX8l8TZVRgQlF298Uqn8NeGZ7wrekR2ea2QkJlb1AuqOk3GR04A8Mf8I9nLATSw6fGKRi00DQojCXXBiS2IQixjTRp8kBTQ5p/wNO9snAZSKxlwX7pfxHPf9BM/aK2vui+r6ovytobwr6m4K+b4BNyG+pwkYW7GXBK01+C+QdVdkXxSLIvOKS58mQFwg8EH7Hj3XoBXS4d8LBoZ8aIm1KLGIrmY4hdFSuI3PPZgByCPOI9M/3wOdTev9rePm/2ABAlzqGgHxdO4BFvvfHfPKAj50IiVMpdSUzd5CfA34eoz5fTU24htwRGz7mls7laFVLtzTGhNwwp94X9fuiPsrJA0MY5+X7ErwvqfcldVBQJqh/raROS+q0pI5KcFgE07Ly75ulSVa+SQZ6sZCXDt8nE9fp6D9O+nQylUjMsveoTj+IR51EpB4NPury/7e5/DkHJwWASP9QgI95+LnwDemny3ovJ1k6NyrBx4o+LcI56WuaeKOyR2wYDadvqHxHlzoFUH2W9JiTvqaJt4C7kpkzMTWv038Skld86pJJPM3GyDSldEtKt+TM7PSqiWjO2y8kfTeX7oK0KbJdRe7osAPYTizUJf6lTxH2T38Y4viUICcENqXJAeEbBUjUIOcGKSsaakeDjSW6HfZb0ZCVijtc2lM4V33alyFnQm4Qjw8DwTFGjjF81kZP4iPiayW+RxGen3QDs/Vcb4/8c9AXLk31SHxM4mMSHxC+HupVI6kJRYxJfIjP/HZGBDHEcVTGntL0A0WPfJhLYF5kyeUzDhRNjUHS8dl6eh9sIJiq2FE5k433l0JDEhtSC70gNiXxKU5MMWqC0wPKbwcDjSX/TYQ+ikfeZlL7srCfz75ZrZxsLV9ul6vbpebOamNvrb63dre7crZROCqr7wzxtcqhavSmwu+o0kHJuNisVPdWq3vLjd2N663lw5Xs67L+di3/cWv5cmv1amPlYxG8MqRVTVrW4I4iHWUyt4tBkyJ6AapPk0iij/rvkclgH8ee9A3YU/mDHpLUkCQmODHFiV7Ab6YiHSWN/N5/GNPrwleF3dN8GhMi8YdgquJM7m7wVpbrZFnXkFzjaSahIXVzypUuvZPTuyqzo4kvs9orXX0N5YMcOChpu4a8n1VQSX5XAzs62DXgTlbZyiqvDWEDcBtZecMQN8XYMUy3CkpLF39Eens+6P2ZHtB68sP3oDAL0FXBgbwNOBSao5vTzkodQ0BDbuys1AJMR+VmUjuNt3WxA1j7qcPQUnlHFy2V7cCMpXOWljYN9s5gj2F6X07uaOKrYvbtauVmc/lue7W+s1nf2WzsbjX2N6t7qzfbpcOV7OuCumsoOzrYgNIa4LZy8tu17MX26uXO2s3uRnV383Jr9Xg5/7ZsvF3OXq0vX68tX61WTsv5t1m4pUvLulA2hHNRvFPlThaYuvCfQfrZdYecpXNOVnCygq2xXZDusFE3EhrS/sFiyOETjpzoR0OjBd8oQE5p8oHGH2h8QOM2iaG5D40wWVsMvEvF87pQLugHRuGDkX1V0l9n5bd59WUWbmvSjg52dIByVxtQ2cnDPUPchcJaTn4riWsysyczn5JLLhV4+IkYEHgvQDxS5BQnuiQ+9FN9n6+3gPUWg46UNnNSNytaEG160nzrm+mLdQ7l7WaKwqca09910f691v920s/8tZ5If8QlDoX4nPRVdRbB13XheQfZc7/Xa1044aMz0hvpts6aKj/MqZ+fYvqBIaDsPUqND8twXFYnFW36jPSDgjIsSf+6lh8b0nXCj0j/mEzepmO/KaaPJKOZeGQ5Gr4R2YdY3EnHvHjEXgz+MQv/z/bytKSijvnHZWNcVh8rOhLhI6EgOokMc7Kjc+Oicl+CX8raKCd3AdtShYYqXmgMGm9zp/Nonk03p1RVbq5lmBc5mpp0B/kLMX0mppAb7tGzmL4ls8gl+9kULN580tB+96n+G8sFsqNwrsp1NRYNqx0wSZvExhg+xvABhnkE5lC4Q+FDkrgnSOSHM8CIIU6OCGr+8AEnexTRiYWaIFnPc7Uc2zJYWxeHUsaLh/s0jUj8FKljiE8I9qjqPP9ffpeFCtVDkhhgRG8B69P0IBEZsIkuyKAmrjbMNNWMqXMu4F0+gxrw7nXZlTOdANnw+wZ+yiJejAjMI8kpRltB2gsSY5K+iMbeMPyaImyp4ruCdrFWudtere6sVXc27nY2qnurtf212u56dWftdmf101rxoGS8K2j7hrqrgR1V2VTEt0Xjdn+79mqntr9xu71+sVb5UMod5/WPpdzN5mp1Z+NyrXK4kn1f1F9qyqYKNoHymmevo4s2jT+vbvySNQgQQxxHmRhvadHkU02dq+ckU+c6aGDoLBMuopHHP7IgRUNHuhrbfUrtomrIUBGGQHYhrMvShSB+FKUPivIBgve6/LGSvdhcOd9a+bS+/Gmjcrpa+rBceFc23hS1V3m4n4Mvs/BlFr7UlJeqjEL8Pahsa8omFN5o4o0ud1X5v2ujRN0KqDPWUllb40yNbWlMSwcXqvgOintA3AXy+1z2cn3lbmfjZmvtZmvtemf9Znfjemf9enP1dmutvrN5vlo+KOjv8vq+AbZUcV1ht1Th3bJ+s795u7dZ29u63V6/WC1/KOVOitmP5Tz6Veer5ZNK4X3BeJVTd3R5DXAHonCjK11DtlT268H9R/LSX/ICv+uweDZoGLXLI/bbYrKbjprJmMUzNhBsPm2H/N6//OGBJh8I38OLnx58vilBezht+gI2EbmKJ05F7iCrvi0ah6Xcp+XSp43K8WbxdL18ul7+sFw4KOhvDPDKUF5nwcsceJmFe7qyo8ubUFhXhC1V3tHBJpTeC4k+FXQJrIe9mPrwHkWNMbKH+b5g+BeMHJO0E13sKOmWwZoaO4S8OSvfsN2ZlIExNaaTZedzBec1nafRyegqf1P9aWm/5232HPN/4wb+n2n6Oz9DIw3drZD6xCUO2eiRmPggJk+l1KWUuQXcXF7WzgqzuS262Nbkliq1VKWtgRtV/MjFjzNLF0qirnNtnbU1bpgDDwWAoOmp3LQIH0rGtKBNSzrqV0c6/Puy9lDRUS/bY0n580ZhqAm3EcpLLHrp8EMsfsbF0rFwKhmPJeKJVFIU5845yi8ifTQVYxLRSmTpWmAeozEnEfEiS81w4DEL/n2rgoR4j3n4uaShY8ispf7p4X1ZG+ZkS2XGReWhrD5WtHFe6QK2owpNTbpUmUMufMxF5tn7bk5BCZDnpG/pYl2XqqpwKWXOxNQHYdbLeCamLsX0c9J/Z6nxa28aC8oO5F1DcHKimZM8TRwySRQxz8an0mSfJvs0OSSJMYbPh9CgAecDgkQPeyTuYAsegY2CwVF4yYvPOpp6fNKLLvYoYk762cJxpM4bEPhcYoa6736XNVP5UQR6qh5JeqGAFw/PdEYa24aZts46WQEZ8tuRcCexNODTNmCc+FInQo9DgRFF3lPEgCbvMcr2E2YAc2j6OBXbFYX9HDyo5M83lm+3Vmq76/W9jfre1t3Oxu3O8t3u2t326t326u3O6tlq4bBovC/qh6Xcm0J231C3gPQmq15tr9/ubVb31i/Xl08rheOCcZTXT4rZ89XyxVrlYzl/sJx7V9Be6eA3kt6lMXThBgTpLoYcIWNpQtuQUBH6uWvpzIn2h+Sb7YZogo6p8i2Nq+vCJ537qLOHKvdeFw8K6ofV4qeNyqeNys3m8t3u2t3OxvnG8kmlcFTKHhaNw5z2Nq++yUG0xaO1q8m7QNwE3LbM70Fl14DbmvRaFS5UsQOl/7adbv6eQA6Fg6hR9hZKRwLzUmRe6+C4nL/eXLvdXr/aWKnvb1d3N+92Nm73NtEX1Z2N2u7m2UrpsGgclnLvStlXOXVXk3c08W1JRQH97fbXG+C4YJwUsxebK2frlY8rxaNS7l1eR6Rfh/x7gb/W5I4umZD5LaT/JfvDjD0oys8LXY3vKjySrJpixokujihyghMDguySRDXkP0tFD/jEWzl9mJWvVOW8lP20vXK5t1nd3apvrl+tlj5W9IOSge6B93ntbRa+yUF0G+wbYFeTtzVpSxU3AL+tAdwbBwAAIABJREFUoRtAeSul7OCSQ5E90jfFiT5NjwhqQCAXarwX8HvpqKfxtsHbYspLR0fhcD8S7oWXeuElNH5sxKcGyjMtzrMRSnMfaPNb0v+OCke0voP9/6LI/kekR7PsPslpFNN/zUMb/LPsPbLF/Vukn0vwEOnvS+okr94XdYT/+fpS1n+uGH+qZL+UwP/ZrjzkQC0eQKR/jCfO+fhvIn0kGWUS0ZXw0g3PPESibiLSj4Tr8dB9Vvnzan6ocGOJncjc5xz8UtYnRYgk9/clFRnkTYrQy4pdkJ6THsX0bcg3oYjq9Mdc5FZl56Rv5CREepT0QG/WnPSfhOQJHz9ko8dc7FxI3YiZSyaBSP8d5s1fLwBpa2IXsDbM2GBmDDdkkr0QbfsJh8J7mA9NV0Pp4r7PNxfGI4UakteNacoJ4h6xMH7h+/kn/MsLfLxAeAG/Fw976ai75O+R+F+S/nk//e++kA8/EqgPaNLFcJskhpGl+Yy1NmQ7BudkBVvJdFKRezrUxLF2kG6L8ZGY6Qup+8Wl3gI2JvERRd5jhEsTnQBeC1Fv+cSmIZ+sFK621+ovN+t7G7WdlfreRn1v43Zn9XZn9W537W53rbqzVt1Zu1gvoXr8caVwUMy/zRl7UHltwLP15ZuttbvdtfPV8sdy/uSpbI/ESu8K2vtK9m1e3dNnMf1b7h8kvUfiY5oak7RHkm54sSeyji524Wzjm1W4UT+CxnZ/TA4U5JlPrXQWFBsqf6Xx7/Li+4J0UAQnlez5xvLdzkZtd/Nue726s3a3vXq5vvyxnD/KG0d5/SiP9Af6rF5b1F4X9Zd5dU9XtqG4Afhtmd9XwX5O2zWUfch/VLimpvy37XTPtv456esqc66I74T0K0U4KmWvdzaaL3fqextX6+XGy53q7ubt9vrt9vodyu7sbFR3Ns5XyyfF7Eklf1wpvC/nXue1PUN+U9Q+bVQut1avtmc3wIdSbnafLOePKrmDkvEur7/JztLdG4B/x3NXqtQxhL9qofOrdvDvzBLm+8bzPeT5DzuQ7wOprymeJrsiM0jF7mPRPu3v0sGbxfAFz13mjdNK4cNy7myz3NrdqO6tX7/aut3fvtvauFmpnBaNgyI4LBpHpexJMYvONEel7Pui/jav7htgR5UQ6TehsKODvay6o4OXUroWjnQCZI/0TXBiQNFIz2uHCC8cGCajYyE9UgVXTFvRkENTfZzwnlaPoLxAwE1EHC7pQaGnishKz1T5jiG0s0LDeHbzP69h/aeR+C9J/1dN/f5HrfkU5pacuRPTiPSoTv9JTl8rLCJ925BQND8n/dz9vqkpiPQnTBiRvqUxiPSorj0twp7GP9ezP+TAQw48FOBjUX3Mw8c8/JyDP+fgzzn5PzbLX/JqM77Yiy3ZiaWHWPIT+xtIn4wnEOlXI+EbnvkSjfdSsVE81owsThTxiw776fgoGR9lko+q9LmgInHgLOFQmj3s5aQuSE/L8KGsTotglJNRpbMNxCuZOc5ETvj4LeSbmtTRlZYu1w35O8w/V+R9EmaKvCM2esYnb8TMFZtEYvvnpJ9riP4q/n90OVu6aCmsk452w8FOLOxw6R6fdFNLXmKxv+jvP8XiY5pCfXEInKiTu/fE0aGf8vx4j8YGND6g8Vl8T+KjoN+NBNwA2cex70k/T7MTs0rzPJ//+ywcH9OUS2AeiQ/9lIv7XIJ4SMRbaLAvYNuQ7WqsbfCWnOqkw32aNkN0Px62hISXjHSjQTQxtkf6hrjvHsOGJNb1k9fRxXdKZq+knq+W73bXmi+3Gntr1e3l6s5KbXd9xvi99ereem13vba7frVZOa0UPpbzx+X8QTF7UMy/0tXXhvZhuXi2UrpYq5ytV04q+ZNK/mSlcFAyXhfUV3m4n1VeFdTXWbCryYj073jmNrLo+IlfS/ohSYxJckhSrt/vJCKewtma0IbfeAfN5UuW/kPSozK2qfKuKnhQ6kLpRhU/6cJpSbteKzd2t9ovdzt7O+2drfbmRmtt5Ww5/6mS+1DMHheMD6X82UrpfLV8vlL6tFz8sFw4quTelY3XRX0/B3d0eRNKm1DYAsK+Cl7m9b083IXCkcLVdOW/a6aZpUldTeyoQhcKaORuWxNrGv8RyAdQPMrr6FhT39to7G7UdlZQHH+ztYZIjzB/t71+uVb5UMqdVPII4e/y+ktNeZtXjyq5T2vl843lT8vFj+X8h+UCelte5eGrPHydBa908FJT9nRlSxXXFW4W0xvCU0z/wyl/f+91/fV3crZF6N8cAW1NaOmiqUtuFngFYBbkdpbrwIwF0haTvGGSxyL7sZy/3d+uvdpt7G61djesl3u17Y2Ltcqn5eKHYvYwD9+WwJtV7Xy1fL5a/rRcPK0UTiuFk0r+oJh9k1X3dGVHlbZUEZF+W5P2smDXgPsy/ykZa4ZoD6lwnm5mJ0yNEuH7THzMJPvpmLkUsEiiR5BjHzbFifunEdJDjPICASscMhNRN5P02LTDpdH4QTsrdXLic77+whl9v4ma304BMOcC0v95efuvz1mbeae25AyaZXfIRt9zUUR6pMibG77VIYdg31D5piY1DLlhyDVNvIYCIv0lSD4nPTKMHxeAp3IoTp6RvgCRJ81jRX8sqhNdGsnsgE9/AcK/VXKfNdCKhbzoIiL9KfMbsvffkf5zbEb6djDQTyXveW4Qjd0nE+NUYiJzDzkwLanobDIpgHFeuS9r05LqZUVXYz8v6w9ldVJQRnkFba9NKF5JmaN0+KOYvFH5hiF3dKWqcFVV6GRldDhqalLbUDpZUNela4W9kDOnUuqjlDrm44dM5JSNXwvpOy79Hennd9Jf5vPNv0n6ZlbqAX4YWbJeLJgE4aUSnpzuCNFBOjKMhMY0NcGJuYDua/M6RXyH/BG24BELjh+zFgkzhFs07vnJSSjgBimPxPs4hoJs5Pc+TwyMKPK7qbW/F+knODGmKY/yeZRv6Cc8AnMo8iGVaGuz6Skzd3eNNeW0xcc76bDFx0eZhJUMuzTVoYk+STkUaZPYgPBNSd89QZp++jwROYHCYVm/Wi/fbq3Udlfre2t328s3myiNv4kcQlDmtra7ebm+/KFsHJX0jyul43L+qJx/bWgvNfg+rx8U9A+l3OlqaR7Kvylqe4a8o0s7urRryLu6tA3FDahsKPJbLnMXXXJp7NeSfopRIx/h4YS3tOhwSUvl/3/q3rO5sSRJ15yxO/Nh905XkhBHAJTQwNFxIo6C1hpkCmoyqbWE1oKZVS3ujN29ZvuH90OASFZWVU+X6u5NC0tjZaUgDgLxhLu//vqDxj+o085jrPPAzdNTLf1PRBi4maKmCi1VbCrSHQJHqrQfhDux4FE2cV7JnZVyR7nUQSa2n4zsJYK7UW03qu1Hg0fJ6Hk2jQP9k0ziMBXeS4S3YsbbsFI2YEGVckjKQjGnigUEykiu6Eo5hHKQew+YcwP+A0n/qAgPiH+EPBZ8PWrSjSFuQXFLk/eTkdNC+ryQvMwlb0qp28qXUB6/7zflPF4z0k9by8L6miq/1dG7INqKGXuJ8G48tBMLTm8/YbWkSWUdlHVQUkFRkTAF05DbFLlzDTwZ4kudXvxlsP9en8IPfWRfkR57FVQVvg65JmCbor8h+Kqs+8nvrPmdNa/rkvXtQWE3HjoqZk6K6dNc/CIfP0nHDxOR/WhwL2LshvXdqLaTDu2XovgadJyeXny3o8H3QXVNlcsaykMhh4QZ6Uu6XNRABUkbvPfasdSmp5FAz073aapFW/qL9v7KYnd5qbVgr1Fkg7AMbHRtkaov0a0lW2fR1qVtDZp6XKDulmxPFFm325qLC7Wlhbprpcl6sMXeV+H170366kvb6tetIv/EvJ+m7iGDSX8k+HD2fl/yHcqBEylwLrP3mvgUlB8NgBl/q/C3iogRhgfeYNLvsY6vSD+MoH5I7ofkBmJHETSKwEEITGIKBugwrj4n9ElM7StCi/PWvI4R5/9WAX2Ru3Msd9yrLZ/rszfw28T0ccfKKR8YOZw1r6PldlRXHU23q+PzNpyOvtfd9jhHMv9dTJ8CPgRHQXkcgtg+r6OLHcT+KRX8Nq4Nw/IgDBu69KgI94p0Ivp3Ao4DyXeGuFsdPKjgjPNdAvaF9NKtIt5r4M6Qcep+RvpdwbPFOPYCzlPed8UHMOlnXH8d0P8s0t9oQgdxPbejbrXWabrt9bQ4zyOz0li2tezUbIbsFPPEq+Gq1DTQ71Fkh7COCOuAsPQoa9dOtxfo9gLdWbT1F+1NG9mmiK7V2rdYXwrnZJ+kZ8jvvRjkDQmsA/itYnpqYKNxjmFgI5uktbpAt32uR02q6aCugaryMsoFMS2ZedDYJ4VpeZ13drJvITuLCwObvUpY6zTVJ60Du3VC0dWF5W3Gt4fAQcy4KKYuC6nrUuamnL4uZS7yyYt8+vqF8a9JvxPTt6PaTiK0GTE2wnpZQwUE3urofVDdjYe2Y6GNsL4ZMXAdt6zJZQOWdDmviHko5KGUgeDXkH5gpToWomm3t3yuhszhfrOpXPllFvVsfl3tBwNCvmwhhXlU8NRw6RFJF0g6DCkfk6GjbOIwE99LRTYSoQ/x4PuE8T5hvI+r21FtP24cpWKXhcxtuXhTzmOh2X7c2I5qH8JqxZALqpRDAiZ9RhULqlyUpZIKS0GYhVxFYo50+I865l5soaeGuzVVuNf5G4Nfl9gPqrSfDJ3hDVBI35ay16UUJv0U88UvpD/Cart4aDse3Igb78JaUZFKKnxrwI2Ith018NqKGRsRbT2EMObLOigqUgGJBVXKqWIK8VsS/9uSfibdxefGFHKaMLMbwhr1FuNpuFebi/Y+bRtZ6WeL7dlim1gXzxeXznnmPKYd5+JH2cRBIrgbVvdi6vt06EPc2IzquxHjIBY6SUau8qn7Sv6ylD4vJLEGZSuifwhpb3VUVCSsUc2haVifV8SiBgqqVIGoJLOXrqU2Pb24Y+VQj7D0CKJDWLskhX2gW6S1a6NmqcGxlXw2E88mamylhwTdoqg2SWGHygZNNVcWO4y7JwXq8HvSvOmb/ruC8/9XBXss0pyR/howmPTboucjtsIV/WeAuVMFTPrXSft7RbpD4r0iPajgDAkHvGePdZwi3/diemw9F1ObKjuMwlEMDaNwklCHEdSLwF4EDmLKICR3AdsMuBvu1a7P1eeYht9z7VhquR1Nr/OTh/nIeH8b0h/zgaHTWfM7W17no9/7yPiqvO/J7+4EfHXXyoAP/CVmfIqqWDWAf/5TKvQ5afSDoCl4/5wK/ilpjCJwGEF1TbxD/L0GTgGzyzg/Av8pZK9V8Q6JJz7XOe9/0OUHXX5QwR0SbxXxWhXPoXAiTWP6PdGLY/p9xnUm+K8FjHnuK9J/dW38W9atwtdVrsF7ntzLNb+zGXC3nMvtJQq3ck0/P7apsw3ug/8qKMfsn9C2AUX1aWpotw2XFvqL9t6CrWunp38JVvK/SOS+Ij2GPdbo/Vak75JUn6YGNnJAW7qUqUFbas6lOuvBbVSzuT6zQ+0WMQ1DGLL+pwVb5425RVpHJNWz003aNiStbZu5T9LXS441kdkOqoep8LQWW8685OpzV4XcZT57lc9eF6brqpidkj6uvw8pb3W0ZqCiIhcQKGvymoG248F3Ye1taNpkvGagig4rOixrMs5mvyb9hXPxF5C+QVOtpcW2x9mSAjVVeNQFHJfXFL6uTM1GqopY1wD2vPsqwfhlqyAGk+BBFS+heIzAUTx0Xsk9rBWuSxl8gu/Gp1lo/JI/piMXhcx1OX9ZzJ1mk0ep2H4ysh3VNsPKuyAqabg0K+WQlIdSRgVFDRZlqajI5RDKIb4kBfa0fyTpX9fpa6pwp3EXGrMusZtBcJgNnxVTV8X0bSl7U86eF5LX5fxVKXdZyFxkU5e5NH73L/Lp43R8Jxbcjuvvo8rbsLJmoAICJRWuaxDf9jZC2kZYx+K7NQNVDLliyGUdFJCYQ0JWEVKITyBuU+TOVOlRF75P+p8N+5+K6b8oLjUBCzLqkKsD9tG19LBMVW3mFmkeWIk+SXfpxZZ9ZZPzHiaM043c6Vb+ZD1zkIlsJoIfksGNlLGZ0Dej6k5MP0pHLguZ+2L+oZg/zsVPsrGPich21NgIqThvn1fEPJQyEp+FYkGV8HohvZpW2TP3Socmu6RlaMWmkNYhTfZpCpN+SNsHFNUliTZl6ZPT0ZEt0ooNtaYfEzvdo6bnT48g2jTZWVno+h11wNZk9ofzb/5OEP3BHN5/1D7/a9/kK9LfyOyx6Mcx/QHwH8qBI8F3KgVuEPfSGQ7uVOleAw8quAbcJee/EdmaKmPS73PO16Tvh9CnqPo5aXybCrY0bhCRBzE0iKFRQu0HwSAkDyNoElNHOugJgY7X1XU62h5nw++put03zuWW21H1rE5c/sOA55eT3uNyY9InnKtHQmDodtUYd9vvvmDcV4LvURGaitCH4pNjqelxfEYSDuU/hV/kA1F1EJJrwF/1rf4prv85FRxHUS8Cn1T+FnL3GjiT2T3WdSgHjkHgBgl3gD90r16wvmnSXpPvFeka8heQOwUcJv3+zPeedR68+ODiMZc/nNn8c++M95r4ZPD3WuBO9Vc1rsF5ewsLn63E0G4bUBRutGsSliZpnanqvtTUX7rYhzTdJYkmaW3YydbqQte1PHAu9xftPYrs08QsXu+SRIeif5z0L5n834r0fdrWo8gBRQwIU9vypmG3NvzOBmRmZzc+1x5UsaqINSQ2FaGtiAOf52nB1jMTeP5sn7S2SXpoJer0fIcgz1cdOcR/iBoH+cRpIX1eyp6X0ueF5CVWZpUKF5nsZTp1nc1cZVKXufRFPn2Uim3FtA8xdV2XsUVMUYN5BRRUqahI08Ndh9MvFFBRQBlJBcDPYvoskrNQxKRv0JafS/rHJXvb5+oDtvXSMd9AfEfmnyBbQ1Na1FSprsEaAk/yT5K+idi6yj3qwo0mnMjcgSIdp+PXH9bOC/HjXPwgFcb2Z1hcvWHI++nwSTF5vV68XSue5dIH8fBOLLgbD22E0PsQrBhyURWzkM/IQhYIWSBkVFA2lDKSi4pUCisFXSoCZkeT/1Ex0FSfqHF1nW9ofFVlbxT/meJ9h7i9mHpWSlxUUhf5+HUhfV3KnOVS92/LN5XCRT59lk5cZFPXhexlIXOWTZ5kEjux4EZEqRhSUZNwtaKkozKSykiqKOCtBt/qaF2DFR2WDbiuy+u6XFGlPBQyMpeGXAJxcchuCOypIn6/Tv8Lw/ofXxg/+O6rCdN5NhLToogmYWoTcz3S1CetTRt9t2A/X168RNptOnFdyZ4X4uep6GksshcNfYiHt4NoN6jsh7XDVPisnL58X7pYy59mU/vJ0H4ytBMLboa1GeYzspCTxbTIZaFY1GBRA0UN4Oz9W6gldeHcs9q1UT3KOiLINk12bUTnZXhml6T6JI353bOTE8LWJ+k2ReC+oYGN7NDWNmVp0ZYOYR6S1meaGtNkhzA3aEtzhW4CFsP+6eWFz9QJv8n6ySm6M79hXDh7aZP+O2/v/37/v5D+Tg68Jv0H1oG194e891jwXcnMDeKuIXujSRhhDyq44gPHHscF464r0k+RfhJGf0wGv0uHWgrbDYrdMOhExF4MjA35OaL8MRn8Syr8XUgZ8oGh2zVyODt+dzPgrfm8d15Hx+t6cq9MXP6jXxPT+93TqbVYe//J5a4GXE9+5zHrOQP+26BUj8JhRB1DoeNyNJYWG0vLQ9Y/4AN9wEwM8DmiPhuwLbI1r+NPEfUv6dA4itpBqaqyjwp3I7PHgm+fm5oPXCD+SuZOGM8p77uSOSxkuET8GWBOpcCJFDgW/YeA3Rf8O6xnm3Fvc54D3ncmMLcC/6P1+J+1EV96abh7lbvTmEedq0F/zb1Yt1kGtGVAEX3S2iMsHcLctpo6hLlHWPqkdUBRHRtVo6010oLvzl2SaNmpJmVu2K21RaK+YG3T07p+22rpWqdX7CEx1du3KUuHtmLd/mvhfZsi2hQxM8Pvfd8j7+euIU3iRF+bIuo01fG7+4rQ1qQfPjd8v77XwKMm1WT+ye9uri4PFhYnhG08b2lQ9uGceWAy9S3UsdNVCMLtdPQsn7iuZGcC+6viVId1WclflHOnhfRhJr6XCO/EglhsvB3S1tQp6Ss6zCEhI3MFVSoFIY5jSrpcNiDuKs5CPoeEAuCzQCpIMAdRFoo7Ptf94sL90pcUyFfr+/kMom21dEliYKOfVhf7gG2r/D303wW5+xCP3+s7JfCksjNvnCck3CvCvSZeGFxdE5uQv1e5x6DYUsWGzN1Dpq2zDchcq/ythtYg8zFqnJWzuGzxMRnaiQV34uHtWOhDSNuMGHupyHE+fZRNfkxPRVi4NLsVMdZDCMut81DIAi4jCxlZyEIxB2Uc6WIZWlEDZSSVZXCuiFVFbCD2Tgnc63xVEauIe/hp5eBvtXCJGo8JaKmgoYIbJBwApoSEg3j4ppi5LacviomzUuKsmLoopnDe/qqUOytmTvKpj+nYQTy8Fw3uRUPb0eBGSHuro7I2fWl5RSwgMSfzWcjnNakcgpUwKhqgoIoFjc8jPi9xeUnKS1JGEjOykFWEHd53qUiPmvyEhCfEVTXu6fvWT7/2ZFf5B8RO2ywR11ZAH8lNnn1coVsE2SfJjt0yoU2frcTVwkpR4A+i4dNM4iqfOs/FDhPGTkzfjoU245GNWHAjrB9kYmfFzEk2dpQMHyWMg6i6G9V2YvpmdOoQkNekrCKkZBZvgIws5BEs6aj8otFbU0DCEPb9vgG5XF0g2zbrs4VskxRWCL3OBf71u+9soAbWCWFNcZsiaqtLj7xvOr4ZcVVNqGpcA/7kVOvfFqIzK8bZ+nHW/uNi/WlTImTvQeBG8l0D5lQK7DOuTcaxK3j2RO++5DuCzClkT6TAqRS4RPy1Kj7o8p0qnXG+A8/qWcDziCRcd97lnaey917nq5rQ0MR+CH0X1P4rHvrPsN70rHZZz3cG/GNMGxvyZwM+G/DZgBNV6nP+umul7l7tioGBLlUV/k5mT/wrj56Vmn+avWecq363w+Vy+Hw+IEoQyAAApCp/a/Y+8NJl9+x0VQOuasB1yvtOJd+Fwj4Z4iisfhtEE8BPJK7l80yQOFTEgS6Oo+hz0vhjMjgOKR2J+UsyiGP6TghUVfYBsdeAOQPMR8G7J3r3RO8xCJxKgSPGfSz4zmX2EvFXinAOOcz4I8F3JPgOJN+e4Nlmndusc5tzHfCeM8F/K/648u4XrK7CNxHbgExL4fqA7bhX2zQ5ICxdq3XqPGOjenYam9J37TROa08ICie3OzaqSxIjgvzOQoytX1xs21ZLw2puEBb8eZtZ3WHStynLF0u712179Pc+or+qAY+w9CiyY6Paiwst92pbDOCgdjbiYuaO2dDEhibWBbYp8W3AtQSmzXq7AU/P62w7lq+dq03HUtOz3HStHnjdeU36mIje5dPXlexlIXWRT14WUtgzB/dSH+eSH9MxLLPCC4e5GGA4ds8hIQ3YHBLymvRV0jILeUz6DOITSEjKchKBJOT2Pa46Tbf+tpj+Nenvl+09iempQh0yNYWtQ6bKe+q8t8F5O4K/Kwa6YqAlMA2JwcnMW4PFY43uVe5Wn56DDxrf0rimwl1p/AWS1hF/koycV3LnheR5LnGUjuwnI7uJyGbEwFqzzai+HQ/uJyOHmfhxJnqYjO5Fg5thfSM0rVCUVIA767JQnJG+qMgVBeAHVdLloiKVgHSChEdFaCD2XmUeNL6GxDr8Jd5wP3dhG7V7lXtS+YYK6hq4UoQ9mXlrwKNU7LaUvS1lL/Lx02L8tJA8yyduynncZYcxv5cI70WDO2F9Nx7ejgY/BNV1DZY1uaJDHLPmZD4n83gPFA25+DL4IIOYjMxmZCErg6wMslDMQj6H+H3Bf62Aqjol/V9vifzFBJpFtzVdrBtSVRM6zpWBlRpZqL7NMrFZn232K5e7pILzTPK6kL3Kp07S4Y9JYy8R3I6F3oW19aDy1oAfwupeInyYCp+ko6eZ2Gk6jHWpH8JqRYeY9DlVzKDpBsCvFzfT4wJWRQFJXdxiAjX7at1Od2jriLB2KPpHN/xf/0RMBUYvlcE2RbRIa3dxqc76qppQVcQ6FKoKP50p8HsT9Puaqr+esvpnI/1ewDkj/Z7oPZQDJzJzLPpPRP855DDsrxThXAwcs54zwX+DhH3Jtyd69wTXGfTd6/yTytdVoReEnyP6n2LGn6N6m/f2pMA4CCZhOAjJPYlp8r7HgPPes1LzOpoBd1cMDDWpa0jTUJlZffKuVn2Oicu/H3D+ctL7X0gfd6yccYGJw1kNuBqM+1jwHfHuU95zD5lhSPk2rH4OKZ8j6ueI/p+52B8z4XFc6UdhP4pGUaUXhJMg/Esm/G3KGMVQNyzXNO4BsbeQu5K5Q3GqsNsTPIe894B1H4PAKWBOZOYUsqeQPZGZQ9F3KPqOJP+e4NnhXNusc4dz7fDu34r0X3YYYp4U5hEFqgrfUvmm6K97Vmqri2OTdWyyDs3WoZkcWaihheqbiK7J2iGsI5Iak1SfJNs02aCJDmEdEeTIQvUtZIeiu3a6a6OahKVFWnt4bo1tOnu+RxB42FqHMOPK2cD6Ne+nhvYU0ab+JtK/zgF87+NttXZtVGvB3nCvtMVARxdrunincQ8v5vy3KnujMDcKc6uyd9rU9BRPcLpXuXuVu1UD18h3pXD30H+l+69l/w7ki3FtL5c4L6VvKzlshHdTzNyU81h1f5ZLYcxvRfStiI5Jj03BXpMe903lkJBTxYIu5VQ8+07IKkIGinhlIZ9AQlqWEkhIQ/bA42zTdJ8yf0X6WR/ED482bHVwu0B2GHdP8DdZdzPganpWW6tL3dXl7vJSb2W5t7LcXV1uOVbqrpWqZ/XJ73wQPC3B35ICjwqDp0w+QvbJEBsK09SlM034KLEiL3dpAAAgAElEQVQfdHCdS56V08eZ6F5M34sGt6PG+6CK6w4lJKzr8l4ieJiJnhaS54XkcSa6Gw9thvX3QR2rEEoqmA4CgCJeGQjycJrQxhmOkgpKQNqDHJaSPGjsoy7UoVAH/G+Ztf6J1UD8E+LuVe5R4eqqUFXlc0Xcgcz7kHKUil0X0jfFzFUxeVXOXFeyV+XMZTF7Ucjgex5O57zsgdBmWH+ro4oyFWeUdLmgSlnAYak5Zl5WEXJIyCEhJbMpmU1CIaXIGRVkkZSFXB7xx4C910BdA9UXS7vfyubl6ZVHXk1mq2KgJnirvKcmeJuIrbOe5uJCh6IbtKVJmWsUeeh2VcLKTTF3lc+cpqIHMW0vpm7H9XcRtaiBgsxVVOldEG1HjZNs7LyQvMgnL/LJnZi+EVLfGrCiw5KO8qo83fAvSZ2sDPIKKKgyvg+tqSivym8F7tTpbNK2Pmntk1Ys+vlZN/6ZkOgr0g/IxSbje9Skmio1Jb4OhQeNv9d/f4L+QJQ3NXX+JyvVf0X6SxB4TXoMe1yDPhb9J1LgAvEXiD+H3JnM4kgV/zoeub4vus+gD0+ZqqtCP4QmceNTQv9TKtTXhFEQDMNyPwoHMWWiiuMg6Kl8Swr0IT/R0SSsDiNqXecvUeBcDhxzjprfWfM6nh2+w4Drl5Pe53LPSH/C+cerjnrA1WI8J6L/WPCccO4nyE7C6qewMoqgfhR9ToT+s5j4LhMexpV+FPYicBxThxF1ElP/lA0/J7VRDPWjqI5H8yrCJWBx9n5LcO/w7j3Bs8u79yXfR+DfF737ovdQDhzKgX3Ruyd49kXvLu/GAf1r0t9J3K+P6fFuu1X9NzpzrQXudb4WAjVdfJT9j6K37XM2Pat1x1JjdbGxuthYWWqsLNWXFwcLi+3lxYdl28Mi3ViwNW1k3UbUl+h719K9Z6XKOJs+R3NlsU0RA4qaLCwMbHSfJPsWa99iHVjMQ6tlYDH3zSb8c99s6llMfeu0NNCjrK+7+P7GT/KPwn5oJQY2e91OV11LbcC0DLGq8A+IfdbARJXGijiE/EDm8BpCvg24LhQ6SMBj/fAg1CriuoLYEfz3yHcnBI5E8UNIO0rEzjKRm3IWd8zfFHNXxex5LoV7iA9Ssb1EBM8v2Y4GN8L6O0NZU+UykkoqwPEKPtOLGigactEAOVVIQzYNuQziZ6QvykJOFkuiUAR8SQocuVebNrpjt7y+GOEuxzZNtn+C9D2KrNHW7upiz7HUWLY1F+mWncKzbmdnX5ek2iTVoKmm3dZctD8t2xvO5ZbP1ZD8NW06z62mCo+yv6pJHzVhD/C7ceM2nz3Kx3fjxnZU244am2HtnY7WFPBWg1sRfS8RPislzkqJ02L8NBc9SIV3YsEPIe2doVWCKjZBm2Eei/IyEORkcTrzRpcrQVRSQVESNyBzqQhVjXvUuaomNGShKf2m9emfWJj0d0rgUWFqqvCoyaeKuAGZzYhxlIpd5VPXhfRVMX1dyV5XptLLw8zU8Rd74GDSb4S0d4aC5Rd4AxQ1kIV8FnC4alPQQQbxKZnNyFwW8jlZzEIxhcQUEtOKlENCGQrrMneGuAddrmsAi8afVB7PsvqtwHOrizVdbEhM0+tsrSw3bHR7wf7J67kOiw+Cp+F3PjnttwvktZ3+yPh2M9GbYu4sHTuIGbtRbTuqfQgj3ExRVsTtePAgEzvKJs5L6Yti6igdOUqGtyLquyDCWoSyoeRVOQPFjMxNMzpIyiOYV0BeASUVlDX5rapUFLgmCVsBd4daGBJkn7T+aLnqr58Vs8Nh9kcw6Xukrcp670LgUZMaIlcH/JMqPhh//2ZOYUb6fyrY4yEIr0l/IgV2GedmYHWHd+M1leZJ/mMQOEPcGeKOIHMg+fZF71RCzjq3OdcO735N+oYmDiPqKKpN4tofM2Fsej+MwkEMjZP6c1D+r1z0fxVin2PaOASfI1o/qrbC8F7ljiXvseQ94t01xo1Jfxxw/9qY3uf9mvRngDkD/jPO09DET/EgnlLficiTqP7HTPg5ruFWgXFUeY5rzxFtFFW+y4aek9okoQ5iSk3jHhXuQRUvJGYn4NjmXNuiZ1fwYEN7bEeAnwu+LuHJdducCwf0vwfp8Q6rB/mGIdQUtg65tiK2FbGB2KbCPWnMkxJ4lH014G9I/iYItKRAU/QPJLYNmEfZV4P+HmQHnK/ldTS8y4+Cp6lwHY3vCL7mymKHsPbNlungNYu1P28ezs+P500Tk3liMo/nTf35+f78fG9urjs/1zPNY94PXrL9P/fO/sM1ttIj0lanyNqyvc1622LgiXE9+B2PjgW8npyLeFVdS1XX0q1r6cG7WuU9VeCvKvyTIT4GxTtDqElcA7F3Ef5a5begmItq29nYYTl+lk+c59PnudS0gTgW2o+FdmLB3Xh4Nx7eiYW2XmEeS+3wEVZSAc7Plw1YDqGiAbIKn5KZr0ifVoQs5N9ywgbDbTGBm5XVHkV37MRXpMcCpTY91TS8vvdMBwST5MhmG9honCbpvZQ2pz1Lr7oesNayRZBNG91ctLc9zjZg6ir3hLgG4h8he4fEXY0/0MBpIXmbz+6nw1sxDQvx3hvKuiq/N5S9RPi0kL4oZy4qqZNCbD9l7MTVnZg+Dfo1hEmfV8CsQJtDUl4BmPQFwBfQlPRlTS7K0hrkjhXhXuUeda6miw1ZqAOxpv7uLrkz0j+gQFXhH1RwooobkNtORo6yictC5iqfusgnT/KJ40z0IB7eT0ZmzfHbUWMzqm9EtI2I9lZH+J5XVCQcreYVMQ3YHOJLulwOoYIO0pBLSUwa8FkglGVQlKWcPFWrlaH4AYEtRTpX+Bnppzp59FuS/s6Q6obUkrmW19laWqwS1hZFfXK5bjTukXU1PatVx+L1kv3M4TySxfNC8qaYOUqG92L6btzYjutrQVjWwVpI2UmEzsrZ6/XieSl7kk/sJ0PbYWUnom7FtHdBVNbkko4KeNiPLGRkDr/7eQXkoIyRjx/UO019j9A6ABUh0LIt9whqYCVGxM8m/ZeDgvze728tLT6K3puI9KBLdTAdcPV3qAr99TfiH/Wv/9S3NCP9lcy8Jv0259rmXLhajwPUfdH7Efix78s259oS3Ju86wPr+FHSj6LaIIie49qfshE8n34UgaMYGsfUgSb8JRP+cy6CJ8ONwuogrncS2o3CHIqeI8l/LHjqrKfmdTw7PL+W9Ktep8/rjDlWTjj/xOGs+Z0tn+tcDJxKvmPW1dClz4nQJIzGMbUfRd8lQn9Ohz9F1ecI+oQt8SPKKIgw6T8n9ee4OooqVZW9Rcytwl9Dfo917YnefRjAofyu4PnAOrYEN47ycW5k9jR3efcO59rBX/x2pP9i2mBwNYWpCd466+vwTEvwN0GgpXBVFGgoTEthuwrfQ3wHcW3INyF/A333su9J8tVVrqnzNcHzsGx7slq6y0tjr3sc8A6cy32aGliso3nLcM48MFmGc+bh/Pxobv55zjRbM9LjLwYm0zTif5XS/3mjXF7V9fs0NSLIIUG2SGvLbus5VjrOleqS7d5GdK0kHs8zW/hXcPftgF7oLC213I4W523JTEvl64BtAf8j8j+KzBEA72Kh43TiMhM9zMSP03FcgcZWr9vR4E48vBHSNsP6Rlh/H1SxCKukgpIKsLgai9Fw6r6kT6uzOcSnAYNDulk2O6qyCZldZ9ktht31+e8XHCOzvUdQr0mPj63XlY5Z6+MsaTm0EsOXFqMvIwQJK55lMCusDEnrkLSOCOsQzyokyfaCvef3tBQO+6FWFfES8ZuGcBBSz8rZ60xqNxncjuubieD7kFJBUgVJGyHtYzp2WkifFVOHmeheIrgZVjbDynZU24ph13dYMhQ8wiQjC2nAY9IXVDmL5BySirKQh0JRA5j0JQjyUNiD3JXC3evskyHWoVCT+ar2u5O+NrVMDjyiQG1KemkDcpvJ8H46eppJnGZiR+kI1pNvBdXtWGj7RXW4GdbfB1VcqVlTZVy4wZj/KdLjR5EFQkWSS0AqiEJO5AsS91aWNhR5R0UnSLjVQVWTZla4Tz9oB/81jHnQ+IYuNRWhLgae/M479/KDd7XBedurKy2K6FrNNZK4WVq6YJljXcVjHT4mQzsxfTcZ3IxODX8+xPSjbOK8lD0vZQ8z8d24gTfAbtzAXkklFeQV8KpEJRY1OE3wyADH90VFqujwnY4+KMoHIGch97jkqtttIys9stI/N3v/U6RvulaqwH8f4p9UvgqFJ1V8UqdjnP7+QP0nxHz1hfQPMoNJfwqYPda1zToxmz6wjk3etcm7tljnFuvcCKxiYGEfvS3BvSN58TicPdGLSX+rsg+IravCMKKOQ8p3CeN/ZaNDQxqH5OcImoThMAyHhvRdOvhtJjgMw3EIfooHx8lgL67dKwIuB5xw05h+sur+Vdn716Q/5QMTh7Pucza9zlPedyJ6DxhHNSg9J4KjoIxH2owj2uekMYqgcRQ9x1Vs4zeJ6uOo8sdM6Nu4NokpwwiqadwtYq4hi0m/L/n2YQC3KxxIvh3evSN592T/nuw/AP59yYfXnujF6X1M+m3Otc+5f6uYfrpk3yPjeFhZqC0tdFdXWqtLDedyO+BoMI4W5+mK/g4ItGSmiphp4VYXagrfRGxPFQaq2A242yQ1eGMZzs8PLNMJeEOzdWKyjucto3kLBvnIZBqZTON502hufmSaG5mmgJ/937HZPDabJxbL0GwdWKYj2P/2T/VrC/1pw56Nnga1NDWw0T073SapmsmMM96v3f1apLVJWCakfUjQXSvZIIiajaquLNS8qzXW9eBbeVohb1bI6+WFbZbJJ4yNVHgrou4nIwep6H4ygnPXm2F9M2JsRox3OsIC8tn5jvVlr0mfBmwW8tgUBevwp5lbJGBFXhbyRYEpCsw7hn3Pse9Y/9myo2VdaJLUVxcgnKjH6/Vrx9bFeFRB22zuWr/XiD9rfPjy3AhLj7B0reYxTWLdZddK9p2rTcQ+GWJN4auqfCbz7wxxW4eHucRpLLKbDG4ljc1EcD2E1lT5Q1D9mIieZpNH2dhB6kt0ux3V8Iwf7AtU0JS8inDr4Cxzm0NSToF5BcxIXwpiWRbMQHFTFs4Rc6Mzj0GxhsQnmX/Q/x6kf1SYB8X/iPwNxD4p4FSRNpG4HtU2YsGDePhjMrSXCO4mg9vx4FZE3wjruC3+Q1DFewBf8jDgZ6SfudtmIVfUpKIh51QxjZ+DLGaBVABiCUglIJUlvgKEdSi9g+AdBB8V/koFDyp4QkJNFaoq+6Qwv6HTCw5np9NdIVeT2SfBf8e4B5RtYDGPCHODJq4cjkNJOgwHL3PJo3RkLxGcyulDqKyD9yFlNxnG7/5eIrgbn9YvsNnz+5CyHkIlXZ6RHm+AaUCPpByUcXxfVKSSCko6KGvyJoBpTTh3e65WF8eEfUDZ/jrFf/Rk+FHStx2LTdbdkPw14H+E7J0hPOpCE/wDut3+ORV51VekvwX+a8ieAmafc2+zTmzNPiP9BufcYp2bjAMnoacBquDZl3wf5cAUZ6L7VPZ+j/QR7dtU8C/52CgCJzEF28aPImgQkj8ljU9JA0+I/RRWhmHYDkpPSLiQmFMpcMy6qgFXze8cOz2/ivQBj3fV6/R6HJj0z05Xzeuou1dPWe+J6P3IOuth+TkdHgVl3EM/ieqfk8Y4qoyjaBxXBmE4iirDiDqKoD+lgp+iyiQMRxFU1/k7hb2G7LkY2PKt4Oz9ZmB1n3Pjdvld4DtAzAFi8KM5AP6DaeXevSe4dnnnLu/c5h37nPNM8N5JXw+r/WXb6wlxw4Cns7TYmrcO/mD5NE8Ov7F0vpnrmS1Ds3VCUM+2xdHScs+x2vK5GoKvIXN9RWog/l7y1zjPwOMeU/bxN5bxf5gnBNEzzTfmvuma54dm62jOPP7GNP7G1DPN982modk8NJsHJlN/fr5vetM3z73G/Mg0zepPTObRvGWqBHyJRPGwu59F+oGN7ixSTcrcJQnsCjAmqQlF9y3Wn6rrdwiyR1ADK4UbAvE/3SGsPZP52z+8Gc3Nd+epj6uefEjZSIT2YvpWzNhJhF4StqHNyHRS2VsNVhRQgmIJitN0vS4XtamkfBbTZyGfV8SsImQBl5HYLOByMp+HQk7m8dcfPf4dH/MhwJRENgMDW17n1cLS1cLC7NiakpsgulZrx2LBpMeMH9jood2G7zpN0togLLh9cXb16dP4ldI4yn8p+RMd2tolLS070SStPTMxcKw2Fe4+xD8qXFWVTyG/bgjvFXErGToMGZj076JaRYfrGtyOBk8yyZNMYj9ufAjC3Xh4LxHZT0Z2YsGZFKtswJwCcwrMIjn7So6XhWJeRQVVLiAxDwXcf4hlWUkobQD+RGautMBjkMe+fne/fz11Rvon6G8gtqqAcyRtQbEcUd/HjJ1YcD9u7MaNnYSxkwjtxkNvQ+o7Q3mro7caXFdlXKwpal9Ij1M7WIqYhXwaMDlVwPrzNC5hQDkLpCwUCwhUkLQmi3gVAZ8T2X3EX6jSvSJ9n/S/cZddVRNaBuio0lAGPZZ9XFx+JEwNm6m3Qj4skXuri+9Y/wdVPomHduPGbtzYimlvw0rFkNdDaCcROszEj3Px7ai2FVH3ElO3/62Y8S6IiqpYMeRKEBU0mFNATgFZKKYkLg34LBTzCihpaklHJR3hDsyMwed0sC3BuCHuM94j78qYWujZFn5ul93r3zmbnNmhyfYC3XIutryOesB1L/uuw+J9iG+D373L7m8/sf/hgf4T4p5ekf5MZrFobE/w7PDuDc65LXrw2pG8OC7FCemZZO8j8B8AP9benwDPrco+KlxTl0ZRbRhRJ3Htu0x4FENYzTYMy5j0zwl9kjLGUWUShJ+CaBJGz3HtSeYvReZcZE8Y15PfWQ+4nt2+Q87zM0ivqqokSZIkaJqCu+ycPlfgZWrtJ5e75XX2HKunrPeEcZ0wrlYYPmdD3TAYhuXnqDyKIGzdN3kZVD+Jqf0oeg6hT2Hlc0ybxLVuFD7qwpXCXKrMMR/YYz2bjGuT92wJbpyfP+S9x5L3VPafAuZICBzy/iOJweE+fmpbghtfnQ54z7kYuAbcnRx4PXvxbzm5fuiK1UB8BwS6S/bxf7z59n/OfWsxjwjz0DI/y6535+fa829aprmWZb5tNbVIc2dloblI12hrlTDXLXMt01x3fq43N/edhZiYzMM3c8M3pskb8/OcpT9v7prMQzM5NFuHZuto3oKhjmP68bzpR9eneeto3jI0W0cWYmSxDK1ElyTa35Pp0X3a9gJs62tsd2iyZ6f7i/be8kJjmWouEG3K0iHMLdLcoi0t2tQi51vkfJe09HGymqSGND20L/RsdpzD75JUhyb7NDUkrQOLeTg/3zdbJqb5NjHXIIgTl7usoY1wcCcW2oxPe4rwws1jWFmN0V7UwCykWzPQuqaUkVxAXwZ0ZiFfQGISBVKIz6gwo8KkwicRW5a4Dxz/gWXLEleShbwiRnWuKHovHM4n+9LQQvVJukvbOjZbm6ZbxPSO0qOsXdIyK14MaXpI02OK7lHWadxPkzjQx79nNia4a6MGNnpAUSOCnBDUiCCHNN2iqKrd1vC7ugpf17l7LfCoq3uAL0NhPaxuxII7sdBeIrKXilSCakWHbw24nwxdltLn+fTHRHQ3FsV+eTux4IegUlGlMpLWVHldg3lVTstCUuJw3h4HdjiBjyX3BVXKyXwBiWVNXgvCD6qekpgNTbxTpQbiqxp3pwQa6PePvVS2qgmPmlTFPkuadKqIG4AvG8q7sIa7xj+EtA8h7X1QrRjymqFWdKWsoZIKp0tHJX06mXfqE4Ak7PGOczlZyGdkLiOxGYnNyTxOb5RFuC6rb6GyhmAZSXkFJKEQlfh1WfiIhAdVbCpcFXFYjldXfnZuY+aR99V/NhWuqvAPiL+FXFUR24pYDzhvF6wDi7lNEUMLVV1YPl11ZID3XUTdj4Q2QmgrZmzHQm9DKnby309GrsqZ00JmPxndjgb3EpGDVGw7FpoKEhX+rQGxR2QGSBkgZSDIQDDbANgzp6BKBSQWFSmryRUFvFPkrAHeS2JZ9P1lbrlpI3u0uUObO7S1Q5MdisZ9d78gpd8hzD3K2l+w9ZaXOl5XSwo8qfzNK9v/p5dGXJw4aSCxroEH7aXlAXFPClP77bT62Jx4dj5/Obd/woHn997/dXU6BuweMneS/1r2n8p+XFbeexHc7QmeY+A7Ab5jwXMKmGlzuOQ/FH37ondX8O3w3m3g3ZI8+8BzAr1X0P8I2Y4OxhHtU1j5LmF8mwo+x7VRDI2jaBSBoyAYhJVxTMeD4obTcfDK55h6G+ZPJO5CCFyxjpY3UPU4xy7nQcAbcDs8bqfX73F5nAAACGQAIETqF9L/j//xP/7lX/7F4/GoqgoAAED866S/8buv/K5L32rLAJ+SxjCCxlH0bVx7jiijCBpG0DCCRkF5EoSfoupzQh8mtV4EdsMyHoHTVsQ65BqIPxXZA/5Fby8HPgL/oeg5Eb2nsv9K4W406RKKp4A7BdwxCGDY4+sSrojgOv2VxP4C0ldfwR7/SlMR6pCprS513pgnb8wTghoSZH/ePPrD/MhkGs7PD+bmvhLNfTYRn+at43nLeN70PGf69Mb07Zz5T3OWwdzc9I+8MY3mzM9mYmi2dubmByZiYLIMTJa/kfSjOfP4JawfmCw9k7lDWLs2aoYxPG/+JYKfKsxfNesTXTvdW16oL9Et+2wqj7Vts3bsRNdGDO22Pk1h48wmSbYIsmOlOmayT9v6tK1L27BUbUhah1bLwGQamMkZ6Q+dzhySKrryzlDWgwqO1fDPOOU4c63HsJ9l73EiOg+lLJyae8/C+pzI5gUxL8ppWc5CsSzxbwX+rSCuC74iZCtIrCggrQnrgu9iZeXBZmst0h2a7FusIwvxyUpNKHpgo7t2umMnsHdYg56upo1s2amh3Ta026a1ecKKH2CPoMZWcmglhsTUS6RJWmukpU5N6/QNmqqtLrW5QAcJDY2vadyVKm8KgTIU3kf07VgISw7XQ6ioyOtBZTsePMknrivZ02xyJxbajoS348Hp9Lawuq5PNYllTcZavJTEYbDNcvgFVS4bcEb6PBRKKlgLwreqkoX8W4W7VISawlc17l79LWPZn/68/Djps1DE3ZLY2A4XZUqaVNYQXhVdwatsKGVDKenTPTA1C8LVGWX6BS7czGo3OSRkgVCUpTKSyopYUaWiIuWQkARMBfAHivCginWVqypT4X39l574P5xtgx/poyI8KkJNlVpIaPK+J+9Kf9HeWbZ3afu1Y+XA48wjdjtqfExEt6MaHs1X1uR1De7Ew6eF9HUle5JJ7iUiWxEDJ3W2o8H3hrKuwYoqVAy5osMCApj0WXlK+qkQ78UdDxv+Z1QRkz4XlN8CsSQFPlmWGwtUnzL3aPO0SeeF9L9gdUlLj7L2KLJjo5oriw2/qyFzDV2amW3UZk6aiHtAbB0KL+MNudrUbIrDtsG/dqf9U865qSsSfuEz0p8A3w7v3mQcMzHZvug9krynsv8E+E5E/ylgMO8x6fd43w7vxTHqNu84Au4r6H9UuI4ORuGphfynhD6OqZOE+imlf0po4ygah5RJWMVD4yYx9VNC/zaufY6pT0HunGOvWe+df6Xj8TU9jk8u11HA99+T/t///d//9V//1el0qqoqy7IsS6qKOI75IenbPlfPsfrgXHlwrd65V7uQ+xzTsEH/OKr8MW58is5uH+rniPocUYZh+CmsjHQwCsqfY9owolYRdyP5bhFzChhM+gPZe6IwpzBwBvznou9cDtzq4kMI3ergQhZOAXMMAkeSfzbkBk+txXX6S5H5uaSv/mCAUl0VmopwD5mG3zNcXH4m7X0T0Zgz9eYs31lsL9ydx2v4kmYfzc2PTKaBydQ3m3qmeZyc75tN3fm5kcUyshD9b+YHb0zPFvLZQnbfzPfnzT8gvemvkH74Zm48b5mYidG8pTdn6syb+iQ5WrB/Xl78vLz8aWlpsrA0mM6TnSrRpiEsQXatVqw16y7ZGza6Y7Nhh12cne7Z6YGNfraQA4u1YyE6FN2nbSPSPrHavyMWu3Z7127v2GwdG9WnqT5JjgjryGLpm4jxvKlNzNVI4sDpSMtCQZ3WX2caK+wDgzXDrxeO7PHKQ2naOqwIWUVIwynpMyrMyjABYVCTE6q0DsQKEOKK+F7yllW2rMl5AyUNaU3yX6ysPNrpJmHqEOZZWmJotUwslonpiz8BFtK/tiLAoXzLYm5bLUPaPrIt9Em6RZBNkmxRVJum8erStr59oWujGjRVW1poMb4OEppQrEOhqUhnKngn+NcUaTsZ2U9Gd+Ph9xE9pwp5KGyE9eNc8motd1nJfkzHtiLGdjSIqxvb8eD7qLYWnKavi4qESZ8GPC7PZ6GIxWhfkT4n80VFqhhyWUMFHZRg4BByD6r4qHBPKotp97uuHyc9FDKyUFClig5xS8WaKld0WNZBAYGiIr8m/TQXrQHsjDQL4tOQS0MuLQszZcYU9riCowgFVSyqYkkT8KibPBTSIlMB/D7i71QBv/YnVZzh+Rev77loK7PEtVhDYh1yDcjUZX+P8/b87vaq4zDg2mI9RZU/iIYPkomdRGgzqq9poCgLH0LaSTF9vV68rOQPk7G9aGg3Mm1C2YoYWLgwG9uTh1PMZ+Wp3n7aZaeIU9grUk7m04pQQdK6KueC8ltZKshMy+54WLYNSTPurf9lgH+1rNhDs0sSDZqqLy82A+6eLHSQ0FXEnip1VKmlijVVeND4O42rA76GRDzIuKZKuIr0aywN/ttZdv/Y7P1XpL+SAifAt/MiuZ8WlyXfgeQ5krzHkvdcDlwpHJ7Khp1gcN847iPb4RzHkvtGYaqa0A7KuLo9DMN+SO4FwSAMJwl1HFcGEfnZgJ/Cyqeo+hyZjsB5jmufY1pb5QgJ/mAAACAASURBVG4CgXuf88G91HN52x7nt27nccAbcLl+QHrwPdL/27/927/+678uLi4ihP5b0vedjqflhapjqe5e7UnMp7DyHNfw1J0/JYKfkwaetTeJqfhbHEbQRJcnuvwcQp+ieicE71XuWmVvQsKp7D/gXXus4yPwnivslcJdycyVFLhE7IMuPQW/+N6fyewPSX/Auo8F34UQ+GUxffVV5gdn79sq3/Y4OwQ5MFnGVnJEkEOzdfyKyq+i7fnR3Px4fm48PzcyTUvvmPfd+bmhlZgQ1NhkxaSfmIlnMzH+xtSfN2PYf5/0P73m5icm88RkHc6Zu/OmgZV4Xlz886rj//i8/9vj/U+X+7tV5/PyymBhsWOjcB/5gKLGFD0iqWld30Z17XSdIjsUPaBsA8rWo+hpTp6mcWEb+8cNKKprJXtmom8hW3Zb00a/WGoTAysxtBIji6U/bx3Pm5rEXI2iDtyeFBLzqozlQjPSz6qwXyR4KiipOFE/FRzh4DUtCxnEZxCPSZ9DQh7KZV7OCSAiCwU+cODxb3sDKYmpaIGcIRQ1mEdKSkEViTvye858K40Fqu1YbHtXGq7F6gJZJcxdq3VM2NoL9v7i4mjBPrLZxjQ5oegxSY0IsjlrXCSIHkENafvQvtB/Sf63abpFUS2CbFuJHkGNKXtzZfFpdeHJ72xCvqHLVQU8QvERCIeatCb513V5LxndS0R2wsbbkJpSuIoCdhOR81L2ai13VkztJcJbEWMnFtpKhraSoc1E8H1UWw8h7PWL3XJmzXUz0qcBP8vez/zjCkisGHLRkCthJQ8C2zJzrUl3ClvX+Zr2dyJ9VZPwnfhJFU+QsAGneWZMelySWDPQegh9Seq8uucVVCn3gw2QAnwK8BlZyEAxi6Qs5NOATYtMTmTzEleGQgkJBUUoqiJODuUVMQ34NcAfQP5uluBVX77JX/EaX7u4PKksjlYbKmgg8VFmHqC/qrJtTejIbCPg34HMO8hWDPljNLyViG5G9XdBhBMPO4nQRTl3tVY4LaT3Y6G9aHAvGsQSlq2I/iGovDdQWQclDVsgC5j0Ux+FL6pMoagB7JiUBVwG8RUkrWmgEIRrCOYQf+10XzuWRoR1+BuRHjfoDyiqS1J4EFTX7bxjnfec64F3PwieW8lzjXxXWuAyxLZlsaGCGenrivSEhEfll+dUvkRc2LDrB1D/UYOd2f/6vfc/foEz0t9IgRPRi31ap9loOXAg+Y4k7wnwncHAkw6qIXiriydS4EjwnUL2DHEnMnMoB/YEzwHvOgGea3UqBOmH0CSmjqPKKIKwsm0S18ZxZRiFY0P+Nqr9MRl8jmuDMMT3gFFU6cHAvdf74Fp9cNkHTnfb4/jsdh4xP0F6BX1dpydJUp7++OKG+5r0n90eTPrqykLdsdTwODqCf2zImPSDmPJtXP+cCg6TWjcs90PyKCgPw/Bz0hiljVFKH8S0riE3FaH24jp0oQSOgPtAcBzLniuNv9XFB1V8VIQ7VXjQpXtFuAXMNWBuFfFKEU4BgysfuO0ez6f/laT/shBXk9mux9Gmyc433wz/8B+juTdj8/zINDeae9M3mwYvOP8Szc/ND8xzeA3N5rHVOrZaRxZiYLL0LdbhnHn0h/nBN/PDOfNo3vL8jfnzf5hwQD8wvbo6mM3j2d/5gzU2z09M5skb8+CNqW8hx4sLf3a5/h+v7//1+/+Px/efLvcfHa5PK6vD5eXO4kLTbvuquW4muGuSZI+iR+SU9G2Sws3ltSVLY9HSWyRGC/TARjYpc91mqS0SHZsNY75FWjsWC9Ykjk3W/hwxmjM3CVPNRn/0eNOKhEmPZ4fj833q36nD2Vn/Qnp5dspPz3oozkg/batThDVJKktiVmbfsq5Tp+vI7S2LbCYkJoJSXkYVTikI8C0QDyC/H2Svg+x9iK/rfA34Hxjntc9xzbnvJP8D8NVFb4NxtJyLrUUSjyLECQ/8cIY0PaBsXZLqUHRvYWFgs3couk5T1QX6fsl2v2x/dC3X/M4G76kJ3ipiHnXhXhPvNfCgwltJ+KiK6yCwpoGtaHAjpL1XYUWHWV3cDOu4sw67wO7GQ9tRYy8R2U6Ft5KhjbjxNqxUgnDm6p+Txen6PunzypfpJtgTvoDEkibldLAWQnkQeAfZU026Q3xdE/9OpFf416Q/VoRNJOLpRDiLU4LTRM5aEM7ufK+yF7hSA7JImnok4KvezOr/yxNgcyJbBPyaLL6XxIrIFyUxD6W8irIaSiGQkMV3Mn+EhHsFfzP8g8Y/qWxN+Q0UZFOcaBwW8zc0Eddo7yFzrzLVoFBXhUeB29L5D6qwHkIH4cjbiPHWgBVVqqjSRkQ7yiZOC+njXPIgFcW+kHuJ8H4yshsPbYa1d0G0rssVAwfrYhYIOJp/TXps+ltQJUz6nMxnEF+G4poGSpj0qrjPeM9cjhFB/iakn/lz489FhyBbBNmmaaxUHZG2IW0fLi4NnY4x6xuLTFsW25pc08G9IuC0x6/xM/gK8/+EpK8q4gPiv096/xbjwB55OKY/BoFzxFyr/J0q1HRQC8J7TTyXA2cye61J15p0Abkjyf9R8H4U3CfQe6Uw9yrX0MSuIU/C6qeo/imqTmLT9RzXnuManvz+bSr4nND70ekM+0EY9mXvo9vz6FrGpG95Hc8e5z7jYdzuF9K7AQAvE25ekR7/MJlMAABZlgEQEZL/Gukdi0+rCzXXSt3n7EnMWAMDXRpF0HcJ49t0aBhX+1H0HNcmQdiFXA/xfQ30VKkN+boYqMlsXRPvNO4E+C5V5gi4P4rOE9l/rQt3hvSgS086uFOFO8Rfi348NO9eEW406RQwR4IPk36LdW4xjj3Wdcr/EtJ/VdLDusoqYKrm+bZ5fmyef56fG/7hf3b/4/8azP3h2To1sMO8H5hMuAY/nJ/vW+d7lrkXRb11aLb2TUR3ztKYm+u+mZ+8MU9M1qHZ2jOZR3948/n/fjMwWWZ/w2vY/xTph1bTxDQ//sY0eGPpUfQnh/O//j/u3vM7jvNM8x7ZX/bM2GKH6qrqnGOFJz9V3UgMSI0M5kyKGeicMxoAFewZez3e2X33330/PI0mRIqybEkzc/ac++iALRIkuqvq99zpujKZv6bT/18u99d09k/x9LexxGkkNgyFO0F/y+9te1WBq2bY34kEe8HAwOsbyqowzTtRfCPFK3J60c7vqa6R6p4q0rksTWX3RPEM/cow7BPa/kNVGXg8Q7c0cronDvfE4R47lcukv0FBkeO9i7mhOenFUN5lzItK9eUNok3xxGfmOput0m0S85plFCnYIeY2yd4yk0+z8Sda7oCAQ4LWOLlByCpENyi6jeExgVULDigYUDAkYEThmJERxX0Mu9CsLMC6pTfNeCOqNr3uvuweKcpE9k7EYcjjEScesSg/icemycQkGR+l4oNMcqhnhiA3xmDKcCcPWnmzVQCVvPmGZssFUlvibyl8asGbVN+24N4CO7DpAUX7FjlY4o+vLn61du3p2tWHN5ZEuf7+tYWHN5bury7dvb5wc9kSHqwfcvoL0hcpmme6q9j8qH67xeAWg9sW3Cyg/QW6S8E+NZ5wUGawbcNfXPL905gN/V2QvsaBIP0mn/nTiAtgNlGfx/OpTPHRb7HZQMb8c18TSbyYS8BAaOHNToHE3KXwkOE7Nn3C8/cYPyBsm7NNTgXmryLzATVfcyhkwxscVi1Yt35uTt+4XOGzjTrX6swQmtANborHi6hdl5DxIG/et+D+Iru3XNhdsHYsvMvhYYE+ur70fOP6TAR6ZUE4Fj68sfTwxtK9q4XbS9Zhge7b+GPSi9XKiwLPOgGimSXmWIVj7y4FOzbayZN9ixVtdBPpXyUTk5l4jmeoivhZpJ+7b4yU2SDLwOsbeX1iGKjv8/XCwX4y2s8mOlDrWrCZh8IK4aN37+94wy8mAC6bbggT7f9WUWegQo0KNSpUKyNtTvqZlx3JPUGZl1grW6BqwQo1jkG2TPQSN48ss5SHlQVaLpAjagrSP4OpVzx7ZOlCDXdg4yGDE5ucLvDTBTotkNMFerbMv76WF715sWj3/kbh/Hr+dImN82hkJqqxRCMebiQC43iym45PU7FHekpLJtPJVDqbuUz6783e/9M//dMXX3zhcDjmpKcUA2DMSX89Hn0N9ffJVD+bHMVjjVioFgk04+F2PNLPJkd6uq8lx0j7Ztn+9sbCdIVPluj7RT6loJdNdjOJQTI5SCa7yUQrk2zBXMMGxwvoVcF8RTPPYeopSL78QHpSzZMSN4+J/kZLvkiF3mjJKjPLFnpF9CcoIxYV7hjxuz+D9J/L6YexSN+n9iXXWOTTkuvE5Rg7HALPlwk9m413ON473O8d7vMrkuDxyCGPXEpXlc/9gX8LRb8NhEZetedxDR2O09//wPf58Rh5HFO38/SKe+T0DLy+aSL+x3TqfyYSf00m/5JM/zmR+SaeOIlE+6FQJxzqxELteKSVjFazsbIer2ZjzUSkEwz0FDGq4x3K6lCW55s5I0U5dctTRT1R1KGqiH2bgSJ3JcFFZSIrM0U/h3vicJ843GOnd076J8nUGgFFivYv9M7maZx4yu/aZI9fPOjp7Fm2SYlYH7/I4T5gfgubm0Db07Vb2dzdbOp+Nv4gE7+bydzKmfc1uIXhGgFrWN8guSd6uptITRKpZiJSSUWOtVgJZyt5s16ADQ5r2KjaZotqbS3RDspdyTnyuKce5VT2DWei3+pQ9fZVb9fvG0TDk0yyumSWF/TSol5aMsvLoLQESwugtACEr0kzb9Yt/Yhkq3lUW+JvmPnCQvc4KDKzaKP9ArvJyS2L3r+28OTq4rMbK4+uL91dyc978/euFu6u5G8vWfsLVGiqCAQWKSgisIVnsN+4IN/aLLEzixzu5Ge7iFsMbnGwlUf7HN3M010O71GzwknLAhXrV9+GmpNerJjXOHjOzNtz0otWfYGJ4922jeZNHLEoOJuxZ0CMYX5Qd6dwk8AiAkVKihSJ2KHwgKLbDN9j5FHevsutfUa3OSvymW7gNjaeMvCOg+ZMvA/8TNLXP5naaXJdWGA0uCkGzcQ6dZ0ZR3njLdYfMf0hMnby+HDZ3s6zbY4O8+zuSv7xjUUhn3BvZeHuckEc9e5fW7h9NX9z2dpfoPOj3pY126ssUjQ/7c2LOuLTF/WSXZtsWWiXgi0Odix8wNmWTYtMf55KjhQxgufpe2fxczL7y9u5QzG16lXEybgvSX1J6shSXXHXFHc9G29TrZk3q7Z+0Tr5x0n/kb3Wf0PS16hZJnqJGhVqlJFWwtoLmH2oxe+aicc094xqz2DmFdaqFqwS41028VUi/FZPlahRsWG5gCoLWDjWv6T6c5R9itOvrVxJONxQo0uMLtCG0JgQOCFwQs0xA6d58n7ZOl/h31zPf7e6+O21wtdL1nmenBA4NvV+JlwLx1qxaDsRPIlneqn4WSr5RM9oybQgfTKd+mHSf/HFF7/5zW8cDoeo3QvSQ2j+IOnHiXgzHq5Hg91krJ+IjVLxYTLWDgcGqdgEG98s2+dLfEiMgZZuxyP9ROwbBP64kP+G0RPT6GZS1US0nElWoNbM45ckK0j/mmnHeVwqkLIIZpaJ/kaLv0iF3uRiVWZWbPyGQVEneYA+kP6FkX5tZn8O6S/ubbNJ9AnQRulkPxQcKPLILc2L7R9N5M0V7voux1ByDWWpL3sasqeuKrWQvxmLTlOxfzeN/wvgH5PJXsDbUt0Dj3vqdH1E+onTOYPoZ0jfk748cTnOHNLYJfd9/nEs+k089q+RyB8CgT+Go3+MJb+OxceR6CAaGSTjo1y6D7JdotUtvWxrJZwuZ6P1cKDj9fVV7+yOlT3CtbrvVUaKpyur3VCwkYqW9XgNprtEG2jpbiwyckvzH18wfuqUTl2esdN7csXTkp2z6j0BOxTf5PhggR8uWoeL1gcsMTir6BKxFg/WCZhvE83BJjBfpGCbgC1sbjG8h9Edw7yva3dgZh/ntrG5beIiMNeJsQ+1x1r6eSpWigQ7Xl9TqP0oaldW+j7fMBIZZlNjDMYWLi2AZt7soEwr6W/7PT2fp+dVuqral5Wx6pt4/SOvr+f1dgP+bjTUSUSH4VA/EuonYkM9M8Bmn4E2MxsUlLleRtkm1zvcqJFswwb1BfKK6C85um/BDaKvMvNggd+y6G1On1xberRceHp9+cHVhTvLtiD9vauFO8v2rUUuCrzbFvxx0m980FGZSQcKfG4xWGTmto32CbhbsPYsdJuYVYu2mVmycr/2k+4j0peZ+ZyZdzjauOgoHyzwW8v5m0v2Xp4WORCfvlBEEHHxQc+kbdcv5HG2MCwisE3INkFFirYY3qXwkKDbGN5GYB+bW8jYhLpYQNil4BaH9y34goGyBTrc6FBhMYzqFvyHlXPmpBelY7Fl17KMhqXXuFZleo3qdao3sNHhxtGC+ZrknsHc41x20zK2F1nRRrs2ubOUf3B98eG1woOr+QdXF+5fXby7XLh7feHOtYIYztgrkN2LEBt04rB7ifRAkH4VXYytcCjMnbdtvEtBkYNdhg44286zdRs8TaVFfa7vVS6T/h/YspsLS4jBXgH4nkfqyFLPI40kz8mF0XZHlmqS8zgRaKB00zaqtl639DrXGsz4+aSfw/7Tb/XRsN5/8pZdlYAS1o6JPif9S5R7qCVv67FHJPuU5J6C9FusN/O4gY3XicjTaOB1LlGiRjWPSnl4bIOKjWs2ec3N5yj7GCaFP32V6XWQbejpWjLWTCdamWQ3k2pnE10tNYC5MQPTBfzt9fy/rS5/t2xPsNHPJnvxeC8a68dD1UCkG4n2EqHzeHaUTHydSD7P5X6I9JBZ9Ht9+t/+9reSJGGMbdtGCFzO6bXvV+8H8VgnGq5FAq1UpJOIjGPRs3RqlEw0E5F2KtFLpyaGPsxlm/FwO5uY2vibq/neMhktknEeDbDZMrNVkHmD0y9J+i3OPYepAxA5onqNg3eLqGrBig2reVS14BHMvsxE3uqpGgcVG7/C2guUe4Iy92HqHkg+NJNP9eQLI/0a5spEFxoalz/1f+DOLy/C3gKZmNl+0NeX3SOP89TlfH/FMXVKE4dbVOmnbveZW5o6XeMrrvMr0tDhakuepk+tB3xlv1oJB6uJ6B+jmX9Pa/9b1/6UTUxj/k5AbqpKS1FF/X9e/Bcz/OOLAv78lQ/nAOnLieQcupwDl2ekeKfhyDQRnaTCJ/HYd8nUn1Pp/5lKfhePjuPhbjbehum2bTQsrZk3KzRbAslWJt73+U4keeyV+h5HT3YMVc/IK4+8s471xKWOI9EO1qu22bCN2jJssdw46BeYn51CnJKIsUs6cbinTtfI4y4H/A/SmS0INhjatMCtq4Xb1xZurxTEuvAOxSI/W2ciWZ+RTPRlN7Cxi4wiM9cs8wY316ixCc09CA8g2sfmTY7vLNr3VhZurxQOF61tmxY5vpGHq8y8n87dTyZeBcINxfve4Rko0sSvjlV16JaHstrxedvR4EhPjsxUj+TattnMwxbM9aKxseoTHc2x6hOFjbHPOwkHB9FgKx5oxPxTh9z2qpV0uAqTdZRpU61tw1oeVC1co2aT5Lpc71pmjRuvif4MG89teItpazR3g5u7BX53cSb7ev/q4oNrSyKE1L+QARaZ3OXNw4+q9x/FxZge2LLgfE57i8EdincKfGuB7nJ4nxhvGKxwVOGgbpkfqZQ3/6Hr/7Ms5Npsr5prTduo5tELTu5iLOTo9zi+tWDdW1m4u7y4X8hvUrZBchtE38DGBgYbGF0EEMN3mwQXKREhDjdCEmcLm3scHyzwm0v24bJ9cyW/kydFDtZpbp3oRQoOKHrM2WubiTV3cbPXuCggwzaDn/7Un74zP+nJzvR2HrUsUCVanRntPOpxOCSgQ80jM1WJR14lYo8S6etE3xCYz9sPlxfuryzcXcqLxvxs1WI5P5MBvih4XAyvsB2LbjF8uX1TpEhsXqyTD9sou3m8v0B3GdkhYJuaWxYqLvLtPNvH5k0tVQ/42j7vyCuLebqBos4G6f9O0v+gk9ZAkSd+dexTRl55rMoTrzL1KieqPFE8tYi3oyd7HLYt3KCgwYyGpVfzWteCLQs0bFC1zYpllLne4Gb70nL8R+T+FOQ/Hr820X/kejimuRI1SsioYLNEwTMzLbTwhCTOc5R9Q41ZTq+lXiQjb/VUhRpVC5YtUOJmmZlVC75l+iOUfM5zb1C2THJvUfrYTDXSiVY8dgL19wU6tfEA661cop2K9bOJb216vsAG1GhryU40PIpGT1OpXjTSjoc74VArFh1EI51EZJiOTxKp51oyl0ikU4lMLp1IJRFCBGGMMbetQCDwgfS/+c1v3G43QsiyLNGn/3HSNyLBbjrWTUb7kdA4ERtrmSkFp5wMgd5JJ9upRE9PTzk8X+LTRTq8yibLbLxIBhy2sF4l2jHX3tn650hftkDNRjUOSjhbJnrNRhUbv6HGS6x9SvpXIPtLkb6UN3scjjKJnioP3M6xNOvZn7o8Qst2fFG3HzndfadL+J71At6TSOgsFjmPRKfh6CSa+Daa/nMq9x+a/h9a5l/TsWkk0PN6m5Jn6HKOLjFeSN6eSNIc7R917ofO349cV0Zu10hSJr7gSSQ6jkUH0eA4FPo6Fv9zKv3XbO5PydQ0Ee0no+1svGTljvNadREdF+AxM2ow24xFe/7AwKf2LmRh+pLcd0ojlzyR1Ekw1I2Eq5FAQ1F6/kADpas01Q/7x5LnU9ILY56J88rI464E/I9TqX0Adyje5mhviR8sWYeL1q5NduglYjFzY/ZLvE7xDSqGsIwNbGxQU7iWrYLchpkrQn0XmbcscrfAhWb+vetLt1cK+wVrx6JrNl7j4I5m3M1lX8Ri1WDgzKUOFGmgSLNGgz/Q9/maPrkZlEuqoxn0tXLxlmW0CqhlgSbJlWn6LU92Sa4N051copeODKPBod87lOWxR+57lZbqaXnVjt/X8we66Xida++WzboFa1RvklzH0ns2qFvmO4ZeUfiYmQdEWyXZVWbuLVj3l2cuPkIDWMjICMYLlZjLpBcz5EIy6EdIv0HhD5K+aJE1DjaRdgfm3lJYz9N6Hv/apG9YunBqr3OtYekVG77k6AHB4h8pjAxuFvjBgr2Xt7cte53o60QX5mwzZRjRgWbmOoWzGTQRBK4jfYeAHQJ2GbpZ4HeXC3euLszi+uLNZWs3D4scbDK0g9FtDB8TUKJGjYNfj/Ri8F6skrcXcKuAGsxoYb2rZ8vJaCUYeJ6MPkhn1qixzYmQRBTLlsLlQVRxbi58j+7flwFm25zMs/k56edNjfV5+8ZGewWyY9FdhrY4WLfgNRvd4LAItT0t2fD7OpdIP5zt0//dpO8qnq7imW/qzqMvu0WIRdbZRp8stdPRNsjUmVHi5hHVq8xscLNlGXNpnYbYvCdaneqfS/c/9+J/q036+fVwTHNlZpaxOSe9kLUXpP8K594ys2rBKjOPQfaNljyC2QoHNRsJnFUtWLPRG6o9APHnPPcW56pMP2K5Cs61zGwb5IYWmC7S2Wq6jUdGtp9NjPRM38i0jXRPT/cTsUE4PE0mJ8nEj5B+PpGHEKKYIIQoZ4FA4Isvvvgwe+9yuQAAnPOPZu8/JX07EqqHA91ktJuMtqPBXip2AvVvlu33y/mpTbtAaxvpETXPFtl0hZ+scKGlM1zAXQvWqV5letk2Snnzc6Q/ssyKDWs2qtpmhYOKDY9t9IaZc9Lfh6nLpC9hrUY/vnT+kZzeNjpYH0TDPYdzdOXK1O2cSM6x2zGfkJ+V8Z1SX5LastwMhXrh0DQW/Ldk9D/Syb8m0n+IJqeh5DQc/yaW/HMq/dds5t8z6T8kEuNAsOGRhYLe2OG4DPvJ9yfyxN8lYuD43ch1ZeSWRop34guOwpFhJNILB/vBwGkk+sdk8i+Z7J+SqfN4dBgJd2KhliirGLmmqdWg1jS1ZirViyWHHm9PUvqqr+cPdLy+biAwjsVOEolJONiNBlp+7/RL6Q8O7yAXb6DkJOQbS+7xJzWGkdM5dnw5cV4ZSq66z/tVMnnbMHcJ3mVkuzBLVcWg+KxWfzF1tUnwBsGrDN9geJXBDQpXOVnjaJPAIjC3TG0TaEUKtm30cHnhwdXFh9eWHl5ffnh9+d7Kws0CP7DIBkOrFroJwR4yHuZS76LhqcfbU+W5ZP3E7xv6vX2vZxBQ2oqjoUrNeKgJ0g2s1UG2ZmYqJHPMM0da5F0u/C4TOkoFj6O+kl+qKe6mIo1DgYFPHUnK+Io0dEi9YLCOMm+vghoHNarXaa5j6W3bbNiobJG3HN9l+g7NrRJtg4PDPHu4vPDg6sKdawVRwT5ctOYjaZc3zb5PelLk+LIC7uW4RHq0m8fzCfYdijcYWiX6hpm9C3LvGKrncS3/6z8ZLaEkY9SoXudaxTJeM/QQ4xmNLoYutxjeYnSbsw36PYOiD8HBOoU3KFhlsybFBgabUN8mYJehwzy7u1yYF0VEXeTWIt+3cZED8Zv3sXmXGMfsh0n/Cz7ZG9xsUaNlgVYBVSyjQrU6M3rxeM3rq8nqo1TstpbdJPCQ0Zu2JTo1d1fyQkVqnseLt+XyzuFsLeX7VsXzacTvd3DMTQbEn93Os5082bFRkcNVbK6b+mE2/TCdaPh9Xb9P5Nw/h/QdxdO9qNtffl3U/y4UJ+dzf55WJtZG2YYNKgu4soCbedyyQIPNCj/Ni6XlOtVrRKtTXZy3Po3/coT/xKhbZolpFQ7mpH8OMkLR9RFIPUGZF0R7x0HFhhUOykQ/wppo0lfzqJpHFRsK0r/C2ftm7BnLviY5sWpe5noTaU0LdBeRMHn/bnXx25X8lIKhkW7HZzPv3xTYewqHiXg/Fu1FI51E5AdJ/9HsPcUEQogp+Zj0brcbAEAppRT/OOk70XAt5O/GIv1EbJBJTpEx4XC6SCdL9PSqKXMqawAAIABJREFUNV2kIxuKFbvxEj25bosveguowc0S00pMK9tG5fOkP7bFUhMs24aYYDyy4DsLXib9I5B6ZqReGOmXZuYY5ark4yb9P5LT2KADtV4w0Pv9lZN/+fLc5TzxuIaSY6Zv43aeu5znTvfE7Rmq3o7fN4qkT2PxPyRi/5FO/N9c+i/Z9EkiUQ2F2/7gIBiahiPfxeN/Tqb+mEyeRCItv29evb8cn74yJ/1Eco4l90jyDDxKX/X1A8F+KNSPhPuh4DgaeR9PfJdMfRNPTMORQSjYDfh7HrkrK91QsJ6MVUGmYaO6BZsMVmj2GKUqKN3E2S7IDvXMOJscxiJDydVT5V7Ae6p6zyWlF/Z3Yr5vJHksOSeS88TlmDivCBW/E5dj5LoyufKl2Dls+tSX8egdPbeNzQ1GxPSQUERZJ8b8gbXKoFAFWacz0otH2DWbbDCyh9GBCfaAsUPAboHsXbUeXV9+eG1p5oR2dfHOUv5mnu0xVKRo1UI7GK0z89DMfJWITmRfT5WFFGBHlgY+dazKY1U+C3lP/PKJU5qq/pNQZByIjOTAiSdwqoTOfdFxIDQIhvqRcC8R6cXCYjdh4vVPFXXskfuy0vPIbVluR0JtkGnYhmBbg2ltprcso2mhCiclRu5xsEuNdWYUObxZ4PcX83cWrf0lclkPWJD+U42BnTyZW5Zdnk37NDYZms9kzf44I5sW3OBgGxuPsHnMUN2C5f8cjTxu1jioM6Nh6XXLfMPgUww2qbHFwUwPh2FhS7OBkVipmLu0fQhmrhFwg4LrZLZGv4XhDgFCBFC0AB5cXRRx/+rizYJ9YOEdBjaoKQYVdym4zc23zKxwMFdnmw2F/XKkF9YjYh+4yvQjki2xbKsARoFI1y033crDbOwm0IoU3SL8MG8dLvGZUkIez4cTDxbsj8SjLqkL0I9I/xHyZ0dkBrYY3LHwRoHu5Mm+jfcY2gXgVlZ7Hs+Uw8l2wN/3zUg/VJULNdy/P6dX5e7F+I6QxZxFwCfKgSLpFwLb46C/lYq09FSPml0L9mzSs1HLhlVbr+RnA3odPnv3xKfz/wDpy1yfk/6YmM9B5oGZfGgmH5rJpyD9iuhHFjy2QdkCFQ6O7VmU8lCArGrBCgdz0r/C2ZKlv7W0d1yrEa1lgf4iHq0woUNztshOLDSxQD+XGsDcaZ782+ryH1byYzPXzybb8UgnEelGwp8jfSqTTKSShBBGKIQQYvQD+/QQQowxY4RzOlfO+ZT0rVi4FQ72Y9F+IjYxc98t2+cr1mgBT5bZ2fX8yQqfLNHz6/mz6/nJMptcs6YrfLLM+ou4YYMy14+5VraNsm18jvSVBVzKw7IFyrZRtsS7ho5s9DnSH8HsL0L6Zh52oNYNBfpfOk5/d+W90zmRnH2PYy5be+Z0nDlcE7dnoKgdv28ay53H039Ixf+Sif81l/wul2wno68iwao3UA8E2qHgOBr5Jp74OpEcRaP1cGjikU4k6VSSLq/Rjy/V7T8OSZp4pJHk6ctKV1Z7Xl/PH+gHgt1QYBAOjWPRk3jsJB4bRyODULAX8J/K8lhyjxSl41Oa8VBTT1RysUom2srFm9lYR0/2jcwglxwkom2/UnX+rqe6Jm73yCv3Qr6u4mlJrr7s/kaSJx6XIP3lGLmunDq+PHVcGbtcLVV5HfHfySU2kXaVoQ/ypdS8THpRqp2TfpXBdWIUkXGDgi0IDnTzZk7bN/QdYm4X8O4KFwXwm0v2zaWZiPqhTeek38LwOjN2zeyzZHSo+HpeZaz6BkIyyO+dKJ6h5BopnpbsbHvVbjTUzya7eralZ5patqXnmnquz4wu0dpU6zOjD7K9eLTnnbUz2pKn5fc2IoF6LNTMxjs412WgzoDgXJPrYqGrxlCV4gccHnJQ5GDbxjcL/G7BOizQLduc4/zyJsJHUkI7eSaGD34K6Ysc71jfW0zftnHRRgfMfIpBiaIqM8vkV5/IazCtIaTobNC0jYYNjhl4gYxdamxTszjbkxQ5OtrA6AcYL4LMujbrxFjDehEZewzdsuh8rO/2on1n0b6zaF+o6OcP82zPQkU+W8HfpuYhN94ws8RNoc42J/3P96efhzAOb1mgRrQa1Wss1yS5HtWnvtDQLfck5XEufgvqRY4PKd8t8P1Fdrhs7RbIlgXnQgh7ef7plTD7HG0qKjqfuwDW50c9hncsvGXTHQsLx4QdjA4N42kq/TYab/t8fZ9PnHF/AdJfpPXC1nKgzJwtRYijwDDgGwX9nVioGw/3Y9FuJNyNxTq5ZINptWXYWAAN22hZxoz0FmjYoF6A/y+RvoyMI2w8M2da9x+RXuTxpYXZIF7ZukhZLSBIf8+IPqWZlyhzzLU3tvbW0ipU67NZ6f5smZ8usYucmZ9YaFogYqt+usLHeTRmoKen/y7SAwQjkcj3SB8MBgkhCKG/mdPXIoF2JDSKJfqx+FDPfb1S+Hp1YbLMptf42Q17eo1PV7jY/RciAKKGP1giLRtWmX7MtSNLP7I+26cXFQ9B+lIelgvo2EZCPOcj0n+lp14Y6SOYreCPvez+QdJjvRMLDVzusy+dXzucJy5HT7ry0XLdvHrfiyZ60cgoHj5PRr5ORk/ikUYk/C4QqKr+ajDQiIX6sehJLH4Si3cj4XIo8GlOP7lkYfdhEO8ixAz8SBI1arUrKz1F7avetlftBQPDSHgci41jsVE0MgyHBn7/1O89kT1Tj2fikcY+ZRIOdv2+rqpO3MrYo478wUE43I4G24lgJxloxdVO0idktvph/8irjtxSX3aPFM88p78cY7fj3OE4c7imTqnnkUoB5VEiuGNkVjEU2qUfpEznz6zZhrSAPVwnxhYydqG+C/WbunY3k7udye7puS1sbllo1yY3C3yeCs/mmCyyx3GR4+sW2kZwjYB9M/s8GR15fV2/PCf92Ocde+SBxzMI+ethfzsZ7edSfaR1LdjOo1aBtPOknSctC4jqYs9GA6z3UvGO399TvK1EuJUId9PxrpZq6RlRT2vYoEFBiyMxDyxmgxsc1hl4weA9au5eLJjdzLN9G29Z8HKp9rJ0zCXBOHY5n/tx0m9QWOR4m5M57Lc52rJQkYMDYgjS1xn4OSqkPzFaVGtw2LCRIH3TNsrMfIvNuwweEKMItTWorWFzg6Eio0VGxfFuvltxOYoU7FC4S8EeNvcJPLDIrQIv2kjsE4qxhrmp8f6iLYT056TfIsYBM18xo8Rhg8M2mylb/7LYaFqoZeMGM2pUb9twwM2enu7Fo6eqd+SWRpLyKhm5r2U2GdrjdDvPdgtkb4Hu5PGWhcQSvBARmmtCf++od6Ei9ekF8P0+/Zz0VBglCOmkGzZeZ+aunryVDrVVb1/1zgVxe4r6j5H+8kSeuKHm0fepw4BvGPCNAr6h3yscrjs+pef1DhS1L8k9j9wJ+pt6os5zXS5kg3NtqrXZ7BD2n9Fd+rXDBoL0JWSUoH6EjadG6r6REGn9M5h5RfR3HHwoRReQyFRnCf0Fzl7gzJ0L0pcs/W1eP8obNW4MGTzNk/eL/P0i/3rFPr1qTZbZaOXDVv1kmQ2vssk163SBdrVUNxkVpO9Hwj8lp0+lUh9I/8UXX8RiMc45hJAQdFk551PSVyOBVjg4jiUGkVg/lzlbtM6v50+vWsJe9/y6fXqVnywQcU4RSvhiIq9rwRrVj2lOeNn9yESe+G/J0ssWKOXhsY3eMlOs1H9K+ncg84uQvmGDFjXa6WhPlc+d7q8dzhPHlaHryuWJPOEnO3ZJA5e77fPVfd5m2N+NhvqRUCcYqPv8ZV+g7fHXfcFaONSMRgbRyCgcaQVDxwGfmMj7COojp/Nyb15Y6Yj/NXBIA5d7KMtjVR0KyylZGqtyX5IHXt84FB6FI4NweBAMDX3+oeqt+pW6KotbdBANjrTEQE+NzEyNZEV2UiVGHeW6JDeh2glK16Ie8T0HPlVUsDuKp+tyiD79R9o+Y5fr1OU8c0inVzwjp7utuN6FvQ8z6UMDFJGxhc1N8oH0s80xsUMvvsZGERm7UD8wsve11KNM8nEqdTeT2YfGFoO7jByyme+Z0MYX7YAiB1scbFrwuoX2ICwi47aWfRmPjlVfNyAJ0ndVeagqI8kz9PnHWqZNjBLOlknumObestwbnjuyzDIza9Q8prkjki1ZenUR1RdRmeslnK7SbNcyO0zvE3NAQZsYDQ7reVyxYZ3AFicdm8xJ37JAgxklgp9QuEuNDQ62LLJriz1yvPuZau0c84L086e8mLX+wU7t7EVKLpP+wubV2Mf6c2LWGGrZuGGDX2oS7XPRZnqDz3TOG5be5HqdgWNiPuP4AYF7yNiE+io2haLtJscbhP4g6bcY3KXwJkN3Kb5L8W2GDxneZWgzj7cLF6MMDAmL200LbnK8yYDo+gvp3G0CDjl4wY0ja0b65sXPKxr2v9BkImxwWGdG0wI9G/WNTD8QHLqVU5d76HKeOKWy3/csmigiY5uLUjwSV+w2R0L5X0zSbV9ITcxdei/rRf7EnH6bf7BE2szTNRuvE2NPj99JBdqqt6eogvQDRRakH/8tV+vPhbDDGPi9A7+3F/D2At5R0D8OBSbh4CQUGAf9Q79XVPVnujqKLMR2Bj61Gwq0YqFeKtZOR5vZeNNINZHWJLqYyJvb5FyOxg9p2/2Xu9N+jgsVy5iT/h3SnxqpB2byrpl4CFJPcVaQvmwBMWkvsvn5IJ6Yy6vY8AXO3NYjT0j6NcyUuf7OnpG+a8HRAp4u0vMl/vW1vNCcHSzh0yX23fWFr6/lp1et8XXrdLVwVqCdVOwy6dvx8A9O5AnSI4QwJaZp/uY3v/kwe59KpfL5/E8hfTMRaYeC40h8FEsM9dx0kQvZ3tMlerKAz5bZ2dzLbomfWGiyzE5W+HiR9C3UokaV6UeW/sb+LOnFG1Sx4THXjpkhhEhLHF4m/WOYvkz6MtJ+PumrttnkZltL9IO+c8nzjdN15nSM3bPZ+6HLOZbcZx7PueQ5c0snTmkkKV1Zafl97UioFQ7X/P6S118JhoYuf0P2l/y+csDfCYT6gXAzEDz2eefV+8sF/LHLdXrpRUF6Afuh0zN0y0NZTNx4hrJ0okrnPmXiVk4U38QXHPgDPa+vL4RdJbmvBgaSOpG8Pben6VNbqUhdSzRQpszMEjUqHDUt0qG4C7ROKlr1Sk2vs6dKfZ86VJUTSR36vYOQ/1xSPiX91O0WesBTp3R6xTP90jV2uZo+9XU8+TgLt7Ep9uYvjMgutoQZKFKwTdAWNovI2IH6vpm9pWWfp2JfJeLP4vF7ufQBmemB3CJ8TvqZVTk11rC2hrVVZl6zzEMAd4HxIJt9E4uOFG/b7x6rvqHf2/MqI0UZuuWe19fOpUvU6FCzQ80WNWrcqBZArYAbNmpR0KCgTsyWBToF3M4jccH0Fmk7j5rcbFGjwc0KB1ULNixSo7CKYIOitoWbM8wbbaa3qNZk9AWD+9RYo8YGQ3MSz6fwLj/WL5n48R8n/cewJ3iD4C1GZ98/j3csvMnAOtEPiPGSo6ZN23lSt36AZ78G6WscVKhRY7km1+vMqFL4kpOnjNyleIfCdQpvUHSdmNeJuYnpJhErZObl2ObogKI7BD0i6Akj9xjZJ3Ad6Zt5vLNAd/Lf61CscXCdgTVqrBN9jRqr2FxDcJuAmwx89SuTvs5AnYG6ZTbzsEW1RizUdXpOfy+dfvnlwPH70yvOplt5rYa2TG2bk90Ll2GRze8VyI6NtjjYvdiGn0/gfxhd/FtFnfV5UYciYe68Y6N9i+xxukvwLd14mkq+i4ZbitpT1KEsDWXpZ5H+wgVq4FP7PrUX8HaD3m7Q+yG5V+Wu4pkZaPl9E8UzUKS2V+r65aFfGavqRFZGkqftVZs+tREJNjKxlpluI62D9S4xPoW9eOUjwP/N+K8lfdWCH5H+thm/D1NPcfYl1t4yU9D9mBlHVD9mhniSzElfyn8g/SuQLjHtraUdWXqN6vUC7C2T0crMGU4k8ZMVerJAvl3Jf71kTRfpcJmeXc9/s8hH6eRHpB+kYp8jvVDDpZT+9re//aCGK8sypZRzLrbsRJ8+kU1mE9Hr8egroE2jsflEXjsS6iZjrUSkk0ue5sn5inWyzES5XlD/ZJkJ+x3xyulVa7JEuxZscrNCtRLTqgXwCmefwdR9mHhmaccLqFxAx0QvM/NCbQBWbFjiZonDIwu+ocYLoj3F2Qdm8p4ev6fHRY/kK5h9ZWTeIb1CgLhFhZpV4yerhM6vpCOebPDMIBcfq+qpy/ONJJ9L7snv/6Xn/P3A+eVIujJ1O07djqnryrnLce5ynDqVoay2/L5S0HsU8lZ9aldWxm7lvcMzdXm6iqfmUyoBtRZQW15vz+s7d/umLmXi8IyvSMLqZuL2nLrlfjLczyZGqfjX3vDXDu/E4Rk6PeMrrpF0ZSA7+17PwKcOVW9f9nQVZ0d1jlS38J4ayupI8Y4Ur7BdF9ZtQ1kaqe6+4ux6rogd+l400mZ6exF0tWQ36G2pno4wf/P7Ltu0Dy/U8ocOl4iR033ilKZOaeqUzhxSx/X7rvvLoeQ4dbnfO9xTl6elespB9XU08jgZu5VL7RvaHjAOTGMXGEWo3TXN23rurpZ8lIo9i8efZbRbAKxCsA6yDzLa3Zy2AXOrSFujxiqD2wTtMrKF4SoyRIK4yfEmxxsMbVqwiMAagjcoOATG23ii7vPWfJ6u5Okonr5fHnnliayM/MF2KlEDRs3M1YHWJKYQrD4metkCzSXWAUYd6WIstmYjcan8yHVy2erwclTy5mtuPqD6DjFFk6LI8TZHe5x+FPsW27fYHp8VpfdtvEPhBgbrCK6jC1FYhtYpXGWmiDUONoguOt9CaGj9wvVkk5nb1Dyk8CFFrxkqW6jB4Y942c2fj7/SRnLZAq+p8RRp93DukJo7DGxwcIOCHQaKFBQp2cHsENE7GN4huTskfZPqG9i4wfCObd2z+UOKDpi+aWvipxb+N+KMWERGERlbGO9QuG2Zq1b6Kk1cxekNbOxj+tbGFRu3bNy2xQagVuPGz+nTC/H8qm1W8mYlbzZto45yzQXaptpQVU4cVyaSc+p0jSXPxO2eSM6Rx93wKs/jkV0ze43DXUa2bbpdIDt5sm+RAwsfWPggT0Ryv23BPQsJV98Di+wxdIMaaxf7h/NOh5hY3OBg3YJrHKwy8wY1rjPjBjd3MNlk6AY3r1GtaCbvZGIvkrHjeLTvUc8k77ksD73uns89VuUTRR0oas/rvTCx9c7VdXoXc/WXrR0vhu/kH4xLv0H93lPiQpxn/p2FTcZI9o19/oHfL0yiT8LB99HIN9H4NJec5BK9TLyXSQy07BCCPkUtTkpLZnnRLC8YFUurc63N9A7Tu0Sr4lwZZevMEFLEM4NBqlcso8r0OjPEvGSHml1idIlRo3rFMip5vWxrFZqt01yTm508qluwzkCTwQvnPUNsB3zuMpgfFsXBsUK1Es4eo0yFGmVmlplZoVoF6+9Q7pmZvqvF7hhx4Vf7EmtHFixbqMRhicOqhesLrJonom5f4mY1j45t8Aym7oDYPZR4zbQjlnvDcyVLb1FjYGOByDk0pyt8usKmBTJcpmNRIF/h46v8bJn3UvFWLNSLRurhUD8S7qViw3T8JJl+riWz8Xg6lUik4ulsxjRNDBFCCBFMCPnnf/7nD6T3eDxz0s/79D9I+m4s0omGe6l4OxntaqmzAj1fsSZLVPxD56S/jPmza/ZkifZsJEh/zGekfwqS90D8Kc8J0peoUeGiXA+qeSSOSMcMiOr9c6o9QZnLpH9mpl/A7Csj8xZqVQpnh3HxgPt79MDFH2lZeiOv93KJ9w7lm//hGLtcA9V14nKcSq4zj/tcls487lPJdeK6MnF+OXJ9eeaQRi65oygNr1L1yk1FHrrlE6d05pDGLqnnkRqq1PB6mqoi3N9P3eqJU544PCOnZ+R0C6n8E0keuaWWqjS8SluSey65oygdn3eoKj3Z0VZcLdXT8wpXWXWieEaqW6ySX9yx3vkNfHEHeoZe90B19WRHX3aPvHI/Eu7AbItkO4lIzztbqpl4lY9u4PmNfeqWpy6PUMuZx8Th/laSztwzGYCpR+l5pCNV+iooPY357qeCh1psT4/vackDLbmbS2zpscNs+mY2eTcbv5+O3UvF7hraIcObnK7izD0td1c3tpBeRMYGNdc42sJwk9N1im9QdIOiNU6KFisyuknJEsndQMYaQesU3tK0o2B0IHtPFHXsVsYeeaR4Bj65G/Q2k+EyzBxZ5luWe8e1I5Y7ItkyydWo3mBGm5ldhuoMVDio8NkGXYObzfxnr4rPkb6Zh+9s8xE1Doixhc1NhrYssm3TudPPZcufHQtvMTy3BhDawEI3ZpfgHTqLbYK2CRLasXMzGKEcvEGhUAsuMnOH6DeJ+YiC1wyV+N9wa/21M6G6BUvUeEON58R4RMFdBm8ydEDhITX3qXFA4S2KH1LymOJH3HxgGbcZ3sJwFeMtjO8gdB/CA2QWOVjD+joxZpvlCGxCswj1ItTXkbD/ATeYfpXkrmFtm6CblL+m4JiBOgNNrgvS1y2zaaGfQ3oRgvdN22hgrZnHTSM18HhOHFdGbseJyyUsKKdOx9jl6ijKm3Dwbi69hYwdircsUiywYoGIysSOhXfyZGeBbheImNETsc3JFsMzd5855i9Iv4WhuAy2CZqLJxYpWuNonZlFrG+bmZta6mE6/ioePQpH2rIykdQTSe6pUsfvHimeiawI36Y55i8j+Zci/Q/2+Huq3Fd9A69v4PcPQv7zROzPWu6vhvG/ssZpLDKIBOp+teKTG0F/N5kYaNmeketqqZ6e7pmZNsi0SK7DjbZttvJmP4+7Bdwp4GYe1rjRsIEQMhpQ0Cdmh5ptG7YXcGUBHuWNt3m9zcymbTTzZsM2GpbeYFqN5UpMEzhoiGLeTxgD/FAWskHdMqtML5Oc0HQpUaNEjR8h/bGNKjY+ZuBYiDZ+n/RidVyQ/gFKvmX6Mdfe8NyRpTe5+TnSny7Q0QobX+XTRSpIf75i9dOJdjzcj0UbkfAgGpmT/is9dZn0AACCMEIIYkQIcTgcMzVcQXpCCGPsp5O+m44PzOz7RS5IP1r48C+ek16s3s1J3+BmiWnHXCvlzdck9xgm74H4U5o5XkAVG5aZKYbthZ1d2QJHVBekf8fBc6o9viD9fSPxxEw9B5k56SsEzBtsfy/pP5wcLbOdS594fKf/4h453ROP9K3Lffp7x+kV59Q5G5UfuR1D15WB+8r0S9fE4R65pb4k99yeocs9cbjPHNI3X0rnV6QzhzSXnZk6panTNXV5xi5JeNeO3NLYrYw96tijTh1yR1GqPrXmVVt+Xy3kb4b9Xb9vKEtdxd1RPF1VHXl9E693rMpDr7uruHuq9JGs1cirihtb3Lp9r0f8noFP7YeCvUy8nY52A35Rqet7lbHvY6Xr+Y19JnlP3erErQjGj9zS0OUeOB1nXzpPXK6JRxq7pMnvHKPfuU4U33ki2YkFmslwJRUrJePHicRxLH6ciB0lY8exZDWWqMWTb+OxB6nYoZnb53jLIqsLubvEuEfNLdvcZOYaBys2XKHmOkarGK5iKNKdTYKLCBUBXGVwk+PtvLWTZ/dM/SgU63iUoVsaeJSR5Bl43F2/3EoEm2aywbSWDWt5o16Y3fatvNlbQJ08qNNcnRk1blQt2LDRfHK79rc80D4lfScPqrb5goG7xNjDZpGCLYvs5NnuJcVTMaUlYqfAt/NsK4+38jP33k2GipTsMiZCkP6D/jlDM883AjYw2MLmNjb3sLnHzEOq36PmcwbeMLNy0TX/m0fYXwn5HQ6Ej1mJgrcUvmLgBYPPGXjIjIfMeMzM5wy8ovAlR88t9MjGO3l2g+GrGGxgcJPA28TcJuC6RVaYvsL06wyIuEbNa1S/RvU1BAUOVzG8hsEagvsE32P8NQUlKoYr9Yal1y39Z5L+o2jlzRY1mgxW09GBy33quDISfpVO19TpOHM6pk7H0C1Vfb5n8fi9bHYfoR2Kt226nWe7Ntm3yL5Fdm2yW+CzECManGwxXKSz3YQ55jcpEZ/4mo1XLSTi+qW4ljc3iH4zl3mQTj1JJp4n4q+jkaNguOFV+7Iy8HhaPqkV8PRUaSIrww+M9wq7mo/78b8o6S9/267P3wv4B6HgSST0bTr577r+fwzz/2jg37O575KJQSjY8qodn7cX8Hf9vqbIUnz+fijYjYY6qWhbSzTNZA2kKihd51ptwawsmqUFo1owKpZWIZluJNyOhJqJSEtPtanWypv1glleMIbEGFCjz/QBN4aW2cubDdsoFfQmgzPMX1S25s/5z5H+clr/KenLJFfB+luY/RHSH1FzTvpaAc9J/44bX6H0PRB/iFOC9KJ63/g+6efp8XSFnS3z0QqbXLPExJsg/SCTbMfDg3hMDIH1UrFBKiZILzTyBOkRQqJ6L0ivKMoH0kuShBCilCIEfpz0onrfS8V7mcQQ5ATpx4tkvEgE1E+W6ckynZP+bJmfXrXGi6RtwzozSkx7x7XjgvmG649h8gGIP8ap4wUk+hzzcTwhRHDMjBKH85x+TvoHRuKJmfoKZF6amZd6WpBemCfOHm1/v4tliZsNClrYrOWSzVBg4la++Z3zu392nLo809lQnnvgdA2cDhEnDqc46U/cHuE6P3W6zp3uoVuahzDBG0qugdsp+t+CnROPPPaoQ1kdyurQ52/Fws10rJOIdiPhejhQD/g6Pu+pW5545IHoxqlecYLueqWeKvVUqe/1XIb9/FYUX8xO2V5l4FMHfv8gHOoG/H3ZM/bIE1kZqkrfp877c99L6xVlInvFEWQseUQMXe6+yzFxOjtuV1lyHCvuetDbS8X7INumWoNkaiRTodkSzr5F6bco/Y5mj1jmHdfKJFcGuVcgfRemb1L9JoE3TfMBSh/ncu9y2iMu1AU5AAAgAElEQVRTe6BpdwxjCxkbQNtG8HJsQSC+2Oe4SMEaNTapcQ/rR2auk0uOs/HTTOIsHj0LhyYRfz8Z7mWi43TiLJ4YJmPDdLyXibez8aaZbNJs3dYqdq7K9CrThdVm28JdS9iU/Y0ttU9J37NBSxzSqXEH6/sEbDG4bdOdPJ7HZeRvLfBigRVttMHFLqIo4JurDF8EFFvmIlYhWEXGKjLWoFFExh4GhxTeZvgWN+9x4wkHr7lZEgPnlt60/8aJVrizzFpavyjp28zs8A8rCVVmlhmscPSam6+5/obnjrlWYtoxAy85esLRbUz2obkPjQfYeEXMl9h8gNABptvY2MbmDgE7GO1gJCTztrGxQY1NYs7X9LcRvI3hI4KOLFjhoMHNlgUE5hs/WxPwe/NittGhZoOCajI8cktnTsfQdeVC4coxdTqmTsfYJbUU9TgUehmP39S1fWjuMbRj0X2LHVjkwCL7FjmwbRH7FttlZK4SLbg+t7Db4GCDgzUOZsqJDMxjts+C04d66nEq9VU88VUi/jweexuOVIKRWsjfVr1dVa0HlXpQ6ary2COPvL7L9/J/Aulnf4sst/w+IfUxjYbfRyP/Gk/8JZn+j5T2vzL6v6Yy02i4H/QN/N6J3zdW1aEstT3ujix1VbXtVTs+b8fv6wb87YCv5/X1I+F+OtHPpQZaupeKdyPhXjDY8/raqldofw3C4WEsOhC0i0fb8XArEW4nI71MvGemWyxXL5hijEOc7xsXJbof2VX5qHr/4zn9PT0uJvIegdQLlDuy4Dyn/7R6L3L65zA1gx0zRJ/+na3XmTGw8bwcLqB5ssymK0zQfXLNOltkc9IPtXQnERnEY61YdBiLzkn/wkjPSZ/JZRFCnDJBeoSQz+f7QHq32w0hJIT8TdK3I6FWONhNxnqZxAhq85z+9Kr1/kbh/Y38dIWJOfx5fj9d4WL2vnGR05cL4J1tPkGpByD+ECbKi3g+uzhfQKxwUGZm2ULHwt/3UvX+I9K/AbkyNi9X7/8B0lc46HDU4qhEjVIu0Q8EJ27PyOkWKXvXJXWczp7DOXS4Jg731CmNJfdYck888sQjn0gipBNJOpHkU7d85pbPnZ5zp1vEqcs98rhHHrdg58QjT2ThL6c2fd56LNTNJMbxZC8YrgS8x2FfPRo8VfwnvsA4EBz5AyeK70RST93y1KNcuFl45mV8MQc79538KFkfedWJ1zuU5YHHc6KoJ4o6UOTuTFdLGXnVgU/9UBtQlN4lv7uJrIw98kjyDFzuseSZhIP9dLyVifVzqQkGIwqbSOsTvYeNLjGaRK8STVTF27Y5KKCeZbaZeWSZjwvmgyV03zLvmNmnMV81GDgOhZ7Gw08TsQfp1AHI7MLcITYOiLFPjV1q7DBjyza3C3B3EW9SY83SN/LmQQE8scFbplfMZCMT7oV8Q1URp5C2x9n2uPtfOib/wyHOZH2nq+1x13yeatTbMGJdnmvbZtMCVaaXkdbARoeDlg1/yuTaR6TvWmbbhnXLfMfBHPY7FG5gQ8RHk2jrzFzD+irS1qC2jnTRhC4i4/sbVsbF5oK5gUERgSIyRCp/i6J7HD3g+IFlPuHgJYfvuFGxjLql/9eSXoxZXewffmgWVCyjYhkVO1fnuQbTqsx8S+ELBu9Y4DY373Hjua2/Kxhv8/oTDm4zvMtNETs22rHRjg1EHLDcIdUPiHFAwAEBt4n5mBgvqV6xRVUGNC9IX//+hNc/jPk2M0UpuM3MBofVdHTskU9dzoHzy7HLNXY7RJy4HGOXq+eR6z5vORQ40JK7ZnaTGus2WLfgpgU3LbBpgU2OixbZsNGH1jufeT2IScONi1inuXWa26TGBtHXsbZB9E1qzH95Px1/nIh/lYi/SCaeJ6NfRcNH4VArFG1EI91QsBsIVMO+SkjpqvJEvrCg/SEe/9qkb/q8vWDgJBI5jYa/jkT+GIv/OZn6Syr3p3j6m3hiEPI3vZ6W7Bx43CeqfOqTOz6l71MHfq94/giH3KGsnsq+qTqzoer7fF3J03dKp7Jv4g+Mff6R1zeU1ZGkjFzy2K1M3EpXVrqq2vbKba/c9avdaKCTS7RRpkuMJp+V4hsXZuWVH5lrubTrf7lP/ynpn4PMPT1+DyQF6b+C2XcclC10zECJw5pNGov80z69IP0Tkj5mRpnrby3tKG/UmdGz0XiJzkk/XeGnS+xsmb2/ak+uWSfX7fMlfr5ijVaYIH03GR0m4mKf/jLptWTyB0kPIfxeTu9yuSCEPyWnF6Sf5/TnC+x8xZqu8PNrC4L0Z9fYdIVMV9h0hU+XbfEDCNIL2aky12sL8CgPRE7/0IxXlkiJm2ULHFlmzUZicLHCQYkaZQuJiTzh+vfQTAolwqcg/cxMPzfTr4zMG5ArIaNGzZ/Sp//caFKHo7aFOxy1sNmCuTbItIxkKxPrBQPdgL/j83ZVdaDIE88M5GNZGimesaqKu0t4RY8UT8c3g+XM9lGRB4rcU6WR4hFC6+JkMPHIY488lOWOojZDgV48PgrHOv7gu6DvTSpY0xNvWPqtlT2ycyWcruSi9WigGfS1/P8/e+/95ch1pQnqnO4+2zNkJcI72PDeOyDL0Iir1vb29OyMJLIqMysrvYM3EYEAAiazipS61TNr/uL94SFRWVUkRUrUtvqszrmHBwAzUYlAvPe9e+93v4/cYDyO5gSc4+gcR+cYPkOxOY4WBAaAeY7h4M1BrHCywPCcJOYVpqCoHMcnNLH5yx8gPfgUCYNnDA7UM2YUOaVocO6+UmqjXTP9X+P+M+fGVbquOgjtYdO9L5HZvdjZcJoiKwuMUaCOg81s+iB2ksCZGUbeEFIEuXuEL2FiQBAjgh4w1UuWPePZNstds9xVg73kuXORP1PFC0M5t9QT2zgL7XbkpZZd8GJBV+YwvvxPpY3P3g6yghFwxlpj2C2ELErQogQB6aECQ1MMzivkkq9NXT2NzHFs9wNjGNjj2AbA/2ORftOtj+1+ZF6G1qvA/NI3/5tn/rNn/7Nn/1ffeS/+S2D/k2/9k2/9s2f/V9/+PwLnv0X2fw/t3/jel4H3VeiDqTPw+KvI/XUU/Dr2fxV5v4qcX4cOgPn90DsIraPQugitDhhWjvRh/AcYhcM/ZwH/4enh4T8xiixQVB/G+jg2R5HVj2yQiHdCpxNag0ifRPo41PqBdeM7rwLzVWAd+uYr33nlO0ehfRTarwJzL9L2Q+0gMA5882VoHoXGZWx2IqMbm/3I3LLu/xw5/cg3Ri1v4MgFQ68ReI6UbiHQuUOAKsYcRmcolpDkiKGuavVTlnspy3ua9lzTXqjqC1V9ocp7mgZeea5pX+naV7rxG934taYfSuqRqB6L8jEvHPPCKS+ABweCCOKlKB1KMogjUT6vs6csdyzwJyJ3wtfOa5VutZI22InA5w0uq9e69XK3RicMDcymv3Wk/s+H9Nu3nVaq82p1Wat/zbL/Ior/Jkr/Ioq/5cU3grgWhRlXSyrUhEQyHMlxdEYicxIvKAKY6Gxn/KYMk5fpvFaelMkhjY8ZYkigEwJb1CpzktzsVyQBhPpzhsrL9IKgC4oqGBpo905pMq0xE76eWMo4MPstezNUFVqj70X6d1A/NHu+3nHVtvN9SL/vyAeOfOyol6HVjhyA9CCn7za9D5H+K5t/6cud0BrE1k3TbLesYWQBpF/cN+mBfs7ts/D2s+bis3j9WfP1s/jNJ835J+Hts2imy5nEzQR+xDYeMvLeq947jhP6ge/7ru85jvNOnx5BEFC9/4F9+qksTFUxt1TAyLv9rHn76e7tZ827z5uvfx7ffhYunwWLp8FDpM8iZxyYPU/r+Nogti6b1r4tvLD5FybXexaA3jxA+s1wQmRfe/p1YF3HzlVknwfmsaPuWeKLB0j/ypLPLfXS0bdIv1m6ze/8Rr+Hh7wxaQjNJLKnsTsNzZEtvTG0O01ZK9JS4Au2tqyUFwRZINiCxOckOaepHBw/N6kwDtbbgtgA54KgQeQMNSfJAicAF2+BoqAqMCOZUaU6aNQnNXZUqd/UK12+kch8FlhZ5GRNOw/MuSEveK6oVJdMZUHicxzN0dIchQoMXuAYqD0UKLTA4AV6zwPA8AWOFRia4/gKwRconjBkWmPmNJXjeEaTS5LaTOrfJ/EFRS1JChD6pgSaknjC0JN6ZczVR0Lj1jOL0J40rX5g9H19GNi92LlpeaDzDfSwervmINASTZhxjVGtMlS4QWD0I7PvqBNVmHJsWmbmKPRNCV6h6IjEphiW42SfIXsMdc3g27gpE9c16rpBXzfoTmxfNPVLi+/XmATFEhTJcfwWI9+U8DsYB6MBwE14DsMZVsphaA7Dawy7w/A1gi5gOC+V8lIpERq5o01b3qTlDpube6Dr/YjqPUCCrSH6KDLuwd7a860vY+9b40XT32sFe83oRRw+j4Lnsfc8dp7HzkHkH0T+YRQcxt7LyH0ZuYexdxT7e7G/F/svmu7z2HoRWy8iZz9yDgLvVWCdhfZNaPcjexiaw1DfAOofOtH+mZD+3SGoTe8MDL8NQrMbm73m26s3iu1Ry+q37I2fRVPrx1o3NruRexGbF7F5HlnnkXUR25dNB7xyEVqXoXUdWJehcRWZ17EBAL4b69skHtDo/nSkf3cTMHueNnjsDyJ9WmWALPTrEnLP1MHmMLqAUAD2UwK/qTBnjeq+xH2pCr9Rpd+o0peq8KXKf6VzX6r8r1XuN5rwa138tan8ypB/ZcjPFeGFIuzJ/EuJfSXVX0n1VyL7SmSPBH4bx/dxIgpXDf6E4w6FxrFQv6lX+jQzLDMjtjYReCBq0qkxNxVqyjArklrgBFCnf6+792eq3j9k5BWV2rpW/5rl/02U/qes/IssvRa4ZaMxq9fmbGPG1Wb1SlEtA4u8KY3PcXhGAtdvNCXR6T2Hf4yji1plWSnPCGJNMyuKXhLkLc3MaapgaDBYm5D4hCbGDDGi8QInZtSm0pnj6BRDMhybENhI5Yee2m+ZvaY1DM0k+HFI3w+Mnq93PQ1Y1t74RsfXOq7+Xp/+paucevpVZIMm/U1otwO71/K3SA9w7SoyD23xS4s78KROaPUj8zo2Ok1zFFnTllc8DZb31PW7T+L10/Duk+j2s2bxeXz7eevrZ803nzRnz4Lls3Cmy1OZz3luUK9l9VomcXNFWEnKe0hv23bg+b7v+2Hged7f//3fv6N777puGIa+78Zx+D1IPxW4jGdnqpRrUm6pYMru7vMWAPXbz8I3XzTvPo8WT93iib98CvgF0fyxl4b20NM7jtJ2lJ6vX8TmnsUDpB88Czux3d/1bpp2v+kOWt541+9G9oWtXLj6dey0W95FYB476oG5QfoDRz605UNTurC1S0fveNYW6UexPf4BnOr3Xr/a1ZPIHMX26TPr+qmz9pw7SR7UK1m1ktYqWb06bVSmjUpeK+cMBXrec5IEMA8yfpAHA4yf0mRG02DiZUYyM5LJaWZGkXMMLxBsK4VbIMiEIK8Y6rRG39Rq/Wq9V60k5eqSriayPDaUiaunvp45WmZIqcqPpUZBYHMUyeGdHN5ZYPASw1YIvoDQJVJaofBGkwdCN4cJBJliyBpBFyg6LpPjBjOlyRzHpwy1JKnN33mvgllQ1Iqi1yS6JNA5jmYUkdYqE4mb2NrENydNqxvrNy2917QmoZO41th3R80A7LNJZI5jY+yridKY0uTiYygtoWm1PrX0zNSyWmOBkq8/Rl7//aOi9PFvP965Q+CMgFYwdFfaZEsrFF3ByLoE3+7AdyXkroTc7sDrR1ChyxOVn7DlNUp8U0LXGLbAsRWMLCB0hmJTDJsh6GoHWj+CChTKKaTA0AVQJtgpLUoQ+PkpAiXVcq7L06Y9bNrAswS4kv9ApN/mfKC1NAz1caCPIqMb2RehcxTazyPzW2M/cg4i/2UcHET+fujthfZeaO5H1leR/VVkP4+dF7H14IetPd/a8y3Aa9uPrP3IOojdl6F/HNgXodMJnWEEfNsMoE37B5H+zxTgarwL894w8oBtPGjGAef4SWhMIn0SaElkjyMfsOcGkT6KrEnogPrq9k0AWXIYmsM4HIYBYFT1mhZQDkgCZ9O2ADvyPdJPwp/sc02aVsdRes+CUctKa8wcKS0R6JsSersDLyEUeDwudrBFaZPZzxEiIalutXbJ8hescMkL17x4IwhXfO2Sq56ztTOevRDEC0k+FaUTQTyUhSOJOxEbZ2LtUqhdCrUrvnbJ1s9k7lzhzxX+QubOxMYJXzsV6qdC/UoQDwVuT6yfcrVhuTLFqTFN9RvlCc8teDFvcO1q+aZMThlmTdELdAvzeMbg2bfZ0f6JSP9dU3YFWX5TbfwPSf1/NP3/VNTfisKSbxQcO2vUp41aVmMyejMiNKXJlCJSGskYNKOQDEemGJLjOKhHtgl4ztfnjWpCYDlJLGgalEXT+20KfARQSZ1iGHjDhMETBp/TxJLa7MB9od535N6u2W0Zw9Cc+OYosrrfjQsfHoUB3t+42rWn3/hG21MB0h+a0pc69yudBco554F5HTs3oX3lm9eBde2Z3abXbXr9XQ/wyrtN5zI09iz+V2Zj3xVvfKMfGDeR3o6NYWhukf72s+bd5y0gi/v60/gh0n/9aQsg/VSTANL3a9WHSL91rRUkXlJky7J81wNI/3aefsvI8zwvDMOH1XteEXRZ+IxrnJjqLS9kilAIfCbxCVvPRb5QpFyTVoH9+lm8fOxnTXf9afy7Xz77118++fqz6O5JcPc4/O3T3fWT1u3T3VUzmFr6RBUSTUw0YSg1Ln3pyOJfmuwLuTJ44rZjo92yrh9bo5Y33PUHj/1ObF+Gxk1o91r+8El0HVjHjvrcFH6ls88NHiT0Lw3xzNavfLPjG11PA3Knw8j6/h0cnNdAR3m7LQ4irR/pw6Y5jKw0tKemMqmUU4oC9zGIhMQTEt/6Pm3b4Zv1QJJzklzh5OK+hJ7jOGiQzzG8ILAFji3uNXOACewCLuU4muN4juM5Ti4Iek3RS4woIChFoCmB5gwxq1LTMjGl8TmJL0h845+LorcoBmL1riHe9gwxh+E5DN9i5ArGFhBaYHhGYRMSSWlsViaLErIkyJyhxjQ1qNIjvjYW6kOu1hbLPaU2MoTU1bLYmra8tBVMWv53I4q7adm2rHFsTnQho+n8YziB4YXCp45yxTFtAs1QdAlj8x0YmOGCRHwF34/toWiGwrcotkbQKYYUBHa3A7/5CPoGp2cym7PVhCFTDJ2jGGidrGDsrbowBC+hEqBKLeASmHfYcCRR9A5G70rI3UelQZVObXXYNG8CZRAYaWhPQmcQ//g57NDcxiA0gcDzVaS/iu1XkfMysg9i90XkPY+930Tur2P7y9B4HpkHofUysF4G1kFovYicryL7IHb3I2cL/AexvcH10NqPnP3I2Yvd/dDbD7193913vX3Puoi8XuwNQem+aX5P4erfMT6sH/xlupF+V6Sx1/b0YdOehVbeqEyhUg49SqGP0493pjsQ4OisYAygflFCZhCSI/iIJNoMeVllTuuVY7Z+xDeORPZIZI8F9oRrHDVqII7Z+okonIjCscAe8Y0jvvGKqx5z1SO28kponIv8jSR2BPGa588E4YBjf83WjgT+mK3vidUzsbKgywuM6jPksMZciZVLrnxVp28q1KhSnlerC5pe4NhmM7nfl96m4ATxkIT7EMW/Nb67Vk+Dve6taA9FpAQ5J5i7OveNpPyrpPwPXv49J93yfMrXU7aW1ipppQwYeSlFjCl8QhNzcuOSt6DpJUHOUWxGEMtKdcLQU0scKvURia1ppqhUJwSxIBhQnN8cMgg8w4kcJ+ckPW/UcyD/xVAFQ04IbEgSoyoz9oxJaI1iGxwHB/EfefbtB1Y3MLuB2fWMa0s50YUDXfjSEgAj7yjQL2L7KnYuIuMs0M4CrddyR0/D5NPm8EnQjqybXaf9xLvYtfdD5YXNH1lix9X7ltbXxKEhJ44+9a3103j1aZw9drLHzt0XrTdfPF49CX7/D89+/8tPimf+9IlXfBq9/vzJ1892M1NLZX4qS5NafVyvLnguVfmlIL00RE0QFFkEariu63qO63meHwa+7//t3/7tH0Z67V4j704QAdJPGrWUayxkaSFLmcQvLO3N4/DrZ83lJ9Ht561vfrH72394/OaL5t2nwepJsNj1Vs+at7vR0rFSkUu5RiJxI5nt8JVLnT9W6odafV+uDB+73djsN93uY68XO/1dD+T3V5EJEvpeywfiOS9c+UtLAFN2h6YEkP7ae4v04Ov5HqQHPRiA9NufH8X2ODaHsQHuiTS0U0UAoyDvsdtAEalg6HfaYOB1ipqT5BIjFigOVOtnKFZgm8fbJt8DSIaWCLSA4QJBNsNsCFpgOADp/NGjKVSaYkiGIykGTxEoL5UKCCruHfBW8Ead96FlznvWtwsUzUo7MwgpEAx4sU8ZakqTUwJPq/SIxEYImhLkgmOXpjr1tKErjwM9icw0dpLIHgf2wLf6nt33vi933OS7sT2MjYmrTgVuxlTaFXKqi4UuTxlm8THy+mPkrrSZzl8h+PYPBn9kgSAFhr6G0OVHO1lpZ46jdzB6u4MuMQKQdecYPkc3+L2EsQW0+YBrBF3ByFacf45u1HznQFe4BC1K0GoHWj4qDbla6mrDptkO9WFoAqQfNn/0dNbgXaTvR2YnMtqxcR5Zp5FzHDmHofsycvcj53loPw/t55F5n6A7IF5EzvN483gvtPcD+yB0DkLrILT2AxP8AIj9yDkInZeB8zLwXgXWdeQNY38UWRukj+2/RPXQ/+Axib1OZAx2ndTXk2p5CsFrBL0jsDuceo1Tdxj5GiFuIewWwu5g/BbUmRA0JfFuhbpsMGdC+UysnYm1K467EvhrUbgS+DOOP2W5kwZ71GgcV2un9cYpy50JwrkoHgvsK6FxyNcP+foroQHg/5RnzwThlOePWe5QaJxK/Eu9cSJVUorKcXJQpfs1pk3iHYroUWSPIicMk5fLszK9peZ8OEP73tPtrvX9DfjvQnrAn58RGEjuM5KaMZVFvbHihTeC+DtB+oYTFvX6iKGWtfq8woBfuWc13Sv40mRSoZLKJptKGDKrMbMKM9OFRGlMy8RduVJUyyOSSPB7Ax4g5EeTOUnNSXpJMluZ3hmFZxQxKZPjRmXE1x8ifTc2/2ik7/hGxze6gdnzzbajnRvigS48N4UvdW7flk4D46bldXb969i6CPRzXwOqMP2m2wmtG9/otdzBs7DzxHvhins6e6ILbUPuK8JA5CaSkCpS5hjrx9Fvv3hy90Vr8UmwfBa8/rT59ee7X3/euvu8Obs3tF09iZaBO1bElK/nojip1YeN6pxnM024FZVjWwE5vSgLwLV2m9M7jrNxrX0P6R/26TmZ1yT+c549dwyghjvnOWBkV0jiTOAztpGL/MoxvonBiF385ovmN7/Y/eYXu69/Hq8/jRZPg/XjaBm4uSIm9VraqGcSN5LZG6Fyw9fP+OqxVHspVwex1Q+sUeyChH70NBw8C/tPg94Tv/s4aLe8TuyeB+ZxaOz76le2+MIUXhriK1M6/PFIDxL695B+3HzbX+zGZhKZicKNSGJNM9sbdEHTC5re8u8+XDObxjyKL1B8O6IGwAk09uYw+p5zXYEg6xJ8CyErGClKSF6CZ/dYfgdBwDl3gSMFBhcotIKhOwgCuLiA4UUJAv3pDV5+4Im3xcI3KL5G0BmEzFBsQdNrurLE6bRMTRg6qZZzgZ1r0syUc0uZuRr4IsbNYBh5/cAZBu4oDMZRuO16fJiije8tREEnNfGM1FDPXWkQG6mrpZXyfAddfgQtIHRGEK8h9A2MvUaw7WDCawi9g6AZha9QdPmolJfgAsNXMLZ8BM93gNg+ui6htyhxixJLGAMSfpvPDt1LHaDQ/D4KFLo/BGALCJ1ByBSCx5ow9rVe0+g0zeH9OPgfgfQfBiDrdkKrHTlXoXsROmeBcxI6R6F1GFkvA2c/sPdC+3kIyvXei6a/F/ubYn7g7oUA6Tdxj/Gb/P4otE9C5zx0zwO7G7njyAWUN1C33xJT/ho/VYxCpxubgyduEpkTvp6TxBJBip3SDEHnKLbEiBW+Oc2DY2sO78zgHXArFgiW4cSAwDsU0alUr6vVy3rjgmNPOO6E4444/ojjryT5QpJOROEVz+/z3L7I72vSoakeKfKhKu5LjQOxcSTWL0T2muVuao1ztnEjcJdS46pOZzixwKiMpic0lZH0lGIyspyQVErRU4aZVSpFtbyh3wPlDALfAvyHPfs/Nuj7rAafk/hGDJ+iE5qZ1mozji049pbn7zh+WaunZWZVLi9oek6SOQ4kvYklRSxwbAZhM4LKy+W0TCUkDlQ+5yQ5JfC0xowbVMbgBUNOGWpIk32GHFFkUi1P6pVhjRmUqQlNTQkc9O8AUy8h8XGZTkU2NeWxpU5Ca7wZ0NhM0P3QG+Dd/Q1U79uB2QutrmdcmuqhIb4whRemcGjL54HZbnn93eBe0dUa7/qTx8HkcTBsuv3IHu76w12/E9v7BvdSaZzJXEcSBlxjzLGJwGc8P1GlzNQWkfP1Z83Xn8bLx/5q13/zSfNf/+HZNz/fXT4L7j5vvX4WL3xnZmiJKMy4xkKW0gY7YKtTvpGq/Fp4O2UnyoIoS77vgz69F/jvI/22T79FekWSOZlXRe5znr1wzdeilMp8zjYStp7z3DamHJvx7FwW546+DK27lvN6113vOsumtWw6y9hduebMUMYiO+TricznhpRowkCsjzi2w9UvxPoroXJjKje61DGVjqlcOyq4soCN3wmda888t1SQ0+878gtTONCFY0M60aUj/Y/J6R/OHW11FcABsBub7VAfx2aqiyMSW9HkFum3NPscxzMc+3ANAKQvcOKdeAD2m3gAyVvXHIB5KxjZQtfdTukWhlYovMDgObqxzST/jSgAACAASURBVH1degfpN2B/70Pz0D4HvM8a2bw+g6BxqdTH0HGZTivllCknOJFVyjOukQmNQb3cZYhhhZ42ahPHTAJnEjrDwO4HgP3g9gPne07E46Yziu1+YPRCo990Ry1vFLsj10xjJ/X1RGLzMl0g2GoHuSthOYzMUWyGIRkKZyico/AMgXMYmqPICsbuStgKIeckPaXoCYFNcPQ1hK8fIasd5DVC3GEkQPr5g2u1KWzACOgFgKHnOwReI+gKwXOczGg6rVUmrjoM9W6sA6bY2zrEj4KB2P6uLWO0cUl3+qHbCR1AI72MzbPAOQrtg9ABSA+49Huxvxe7e7H/IvJAHMTuQey+jOyXkX0Y2kehfRLaZ6F9GVqA03sTmsPIAbWW4cbAzRkGf3FI/+FB8C/UueQ7YhI6vdDo7dqjlpV66lwRZhVmDEPJo53sUSkvwduFPIOQvAQPkZ0UgRYofosSa5SaY2RCkkOa6tXqN7XaRaN2wtcOhcZLiT+UxFeyclHnr1jxRlQ6stZWzbZmtU2nbbuHrnFka8eaeCqxl1y13ah2apVutTbguD5b79arA4aekcyaLBcUk5NUUq6mlVrKlDOaSQkqJcicpOY0A2D+YXwP0n+oqPFDkP6+HYDNCGyL9BOKBkifs/VZvVbUakWluihXpjSZM8SUxlNyo/qVk1iGIylK5NXaXOJTvp6UmRlFLglyiRGbyh+BrXB8haJLgpxXqzOuMVOlualObXVkCCOVS0U2r9emNJmhaE4SU4aaVJgJ30htNQ3tYWhu5z+BJM4Pd318eAMPQvNdpLcA0u8bwoEpvrSkE0e98s12YHdCC6Ty6eMw2Q2S3WDc9O4lXuwbW30l1Y+F+rXI9QR2yLOJKGSylMjiWOSHEptb6jdPo999vvv6SXT3OPztp0/+r3/8/F+/ePLmafzmcbgOnZku56I4E8Q521jIUsZyQ66WCY2xwq146VgTHyJ9EARb7r3rups+/XuMvC3Sq7KyRfpzx7gTxETipo16wtanAjdTpYWhriw9V8QJ38h4NhHYTOKmMp8rwlTmU5lLJDaRuJnAJxLXk9mOwfdtaWIriSZORDYXxYHIXUuNY658LrFnYgP890Rmz1T+wpSuHbXjG13f7rjmlaleB9aJq+0bwguFPVT5M0061+VTVTy3fhzSvyeW9BDpk11vsOvcRPooMqa2MqpSQKUuIXHg8QDS94cTdO+sGbC03ltUBDHH8ALDt5J5QFbzLdhjKGjev0awNzD2GkJvd+DVDrQo7RTQzhwpAVL9CoXvVTveVu83RrrgKYJvq+LADW+JQCsUzlF4juGzMp0L9VQXx5Y8NMSByidcLa/XCqY8R4gcwqYYMaGpSYXJRT5ThMSQRp46DPVh0wSKUR9eSbCD9wNjFNuj1v1setMdtbxByxuE9mDX6T6xervGOFQSnZs2KrMKM0cxQJcFvIeURDMcyVB4jaCrHWRdwldEecaxE10YqdyAr97h1AJC5zvwCsHXKLGEsaKELCF0axS0xrBbFLuFkFsIuYPRWxhaQ6VFCZpBSIbiE4ZOJC53tHFsDiK9H5n9lg0S4h+I9A9RChTMP7RTGsd2EpmT0JqEDsD7QewMYqfXtK4j7zJyjyMHNOD3Qhtw6QEDH/Dzn8feXuwexPbLpnMaWOeBfRk47cjpR/cSEYHRj+4VvzdI7wwjZxj8ZNpwP1W8V/X593co+ZEBZD86TbPT1IexkUdW7qipyt/R1TVZXmLUHMYXEF4gxBKjVji9ROmiUpvKwsiWO57cdpSBq01cfWKqI1PpWvKVLZ1a0pGtHFraoaX9d0f+0lX3fOPANw89+9C1Xnn2K89+bquHunwpcb16ecRs3GJGQqPryte20Db4viH0DWGg8kOFHWhcT+ZHMpdJfMGxRaU6J2nQ3pqh2HbOtrgf5QX70rak/zB+LNIDK533kH5G0RnNzCrVolbPa9WsWplWKxlNpxg+JdAZhRcMWVAUKDOkJJ6S+I1YG3nqZNce+VpPaQBh0ClFL+jyjCKnDJUw5BhHJzSRKXziafPIzZte0rJHTXMUGdNAzw0p5etThkoq1LhWnojsxJSTwAKGF5tBqvta4w+/A9+7dTfc+9BsB/aNY1wYypEu7hvCns7v6fyhIZ7Z6qWjX3t6J7T6TbftaDe22na0a0u50qW2pbYt9UaXzvj6pVDriGxf5AYiN1alsaUOLWXANUZCI9flu9B+HTlL31oF9ptW9PVueBu5a8+aG8pUFnKem3HsQhRygZ3L4qTRGHC1qchOVH4tyKeG/K1ID7zsNn36H4L0Z7a+5viJyOZsY1AvZxJ3G1i/fRJ9vRssfXPuaEtXn6lSJvGJwGY8O5OEmSRkPJvUa0m9NuRqXYW9sYS2LfcNaSjxY46dCHyXb1wKtTO+filxbU1qW+q1pXRcveMbvdDqR/ao5Y1b4Sj2+4FzHVinrran88/lxkuFA0h/okvfivSj1h9A+u1mBL7OUWz3fX0YWcPHbicyhrGRR2amCRO2nNaYpEKlFLHlqAPG6XuLZIv0DympGUVMCcC224y6bWr7CLZt2Oc4PsOQOQyvERTUtNcleAmhYGh+jiILAGY4vsSwBY5tkX6by2759pseNgzPIGgGb04JKxhbo8QtU12LwtJUc0tNdSmR+aRRTSvllCCnMDZHiFuqcleuLRkmxdARiQ3q5bEpJrExfmwNdq3B7jvX8OGEVT8wgBH1uOkkkZ365tgzhp5eeHbhGrkhZQo7VxqFWJtztWWjtuS5lSwWugyqO5nGTVVuqrAzmR3V6RFDZ/Varquz0CpsdVGvLylihiE5DM0QeFvMWJfgLeWwwNA5iuQwMoXgOYzOUWSGYjOKzGvVTGiMFX7saJOmM246gIO5PQX+QJh/3yrmweub94mscWxPQmMSGiCzH4XOZu4rNrqR3Yndq8g+j5zjwHoVWGB8/Hlkgob989h7EXn7kfMysl/F9o1vtQO7H9mAYz8JrXGgjwN9uDlP2OMY6Hg7w8gZ/zWn3/67PzK+631A1XfYtLstq9syhk1z0rSypj2ztampTDUpU4RU5jNFSBUhU8W5qBSGOQ3c4a7ffez1Wu6o5SVN/3440xw1zV7TumnaF7F9EtoHz/z9x85+aOyZyp4q7snCgSS8lMUXEnfMVbsVOiXxGYbMaWomNhaWOvf0zNMXnrkOnSy2xr6WO+o8NPOWM/PNmS4VfH1RZhY4sULwNbJh7BYYusAxEGCaF8D/HMMfNvKzH+x991Ya5D2kJzdS3BlJz0hmTpVnlcqMa8xkPmVrQ3qT7SwJ8hYjlxgBRhMzmr6xpGHTnDzzhrHRU7lBvTJhmJSiB2VqQBF9huxU8BsS7ZXJgcp3mjpwm+xHZjc2+y1z0rQSTxsa4lQVEoUba0Li6FnkjCO3HxhdoOTxvfK3H670956C0m/XMzq+ceNbN751bevnugxy+q90bk/nX1nymadfB9ZNaALZt7anX9nKpSWf6cKJzJ4r/JUqXIgsGLLoiOxA4vsiN1DFoSV1LXEosUO+PuLricRmEpfK/EQSJpIwEhpjkc0UIRHYCd+YSUKhSGtDW9rK3FBGbGPI1WYil8j8kpOPDeW7qveSJG1ca//mb/5mO0//XdV7gPSJxM15bsBWEoV7vev/2y8/+e0Xj9dPg/XT4O5ZuG6Fy8DNbWNqanNTLwx9piqZJI6FxpCv96VGXxH6itCVhJ7ADwThhq9f8W9hfuiZo5bXbTq9lrvRHGiBx34v9jqhcxlaJ76+Z4lf6dy+xr8ypSNLPjSlc0tvu+8gPXCc/IH70Rbpe4Ha8ZXxrjts2v3AyJp2FugTS5qJjRlbzSo0GKIDMSXw91gtW8Nm8Pr0Huazezbs2849kMlD8Y0hLE7MUWxbby8QZEGQS4ZJKlRGETMELXbg1Q6yhNANZe+DnB5k8EUJAUXFOQzPICiHd+YoNMfhAiHmCDHFiBFJDKr0kKuO2Oq4WpnUK6MqMyhTQ5ocU+SUIAucWOHkFMPGODqolyeWlERmP9S6gf5e7es9PZZe0+rt2uOmk3l6qggjvj7i6xORTdnahCYm6KMJ+miMQWMczWh6oosTWxmGeq9pdFtGb9cYPDZHu2bWMrqu1DeE1FBT30xabmGqt2R5BkFzGAZ8xjmoVYAGBwTPIGiGIXOayCp0UqEmFSpplFO+ngiNqS7OPWMamiPfAGcR8LWOIguoMvcj8w+O2L33McE9szVLfYgx49h+qGNzDyfAzX1D3OuFVjuwLwLz1DOPPePQN14G1maSPnSPQvs8ci4jG+QfDzDJGEQ60HzcQtRWMeYnnC77yRD3285P/1/k9OE7BqnjD8YjfyDS90IDjF9uaNuh0fP1UWR1W0a3ZfSaxmDXGrWswa7VaxrdWAdnsjR0gQVL5pkT3xz5BviTJoGe+VoW6JPQGMROt+kdROZLT39lqceGcqrKJzL/Smi85GqX1UqnzCQkXmBogUIFgRR1ZilxXZO/cYSxJU8C/fqZdfXM6u8a7V195Rhzic8q9BRDZhA0L5UKCPpwBmeBoosN6XVjYwHAHsD8D+/cv936KBpw3QHSgx75nGYSnJzh9IJgcppJ+Xqqi4ktj01xyteSCpXh2AKjFgQ9pehJvZJI7MiWJ6GRtOxJoI9VacJzWa2RVusJzcyp8owpp5XytFpZVOtzWQZu95vsPLaGTXvcdMCXmwXG2NfGgTmO3EnLH8Uu4Mw+LL/98DP9w6ebkXrHbLvmFulPDfmlJu0bEnBZO/a0y8i+abo3Tbvdcjq77uhx0I3sG9+4crUrWwGN6QuRPZfqZ3y1LTT6ItcX2IHYGKn8QOVTUx5KbL9RHrHVqchmEp9J4kTg+0J9IDbmpjozlMLSVoG9ipxvnsbffBotQ3vMsSO2thD5icTNG+JLQwYONx8y8mq12s9+9rN3kN5xnO9H+lTmF6IwFuojmV3ver//3z/75pdPVz9v3v68ufosWn/xZP3ZbvE4zHxnbGgjRRxK/EQShpowlNgJz6Ucl7LCiOMHktxX1UuJOxcaZ2LjSuZvVHHomd3Ivozsq6Z11bQuYvM8Mi6bFmA2tlveeWQdh8aepzw3hRemcGCK+7a0Z/9opH/v63+7ie+a3UBNnriTx17X04ahPo7NQaDOJXbGVqcMNSU2NTEwrwlg/qHxK+jTA0WagqLAfN0UwzaVtPszNSipLTEC2NLfkuVbjFwh+AKG5zCc4/i8Wl6JQsZVN+3tj+H1R/BqB5nDaIa+g/SAB7Sp1UMoqG8DTZ45Di9IdMHgqcxnqjhW+LZUvzHYcahNQyOz5Nmum5pSwtXm1eqiXMlJIiHxpELNKHJMU2OhPvWNrOn2A6Pnm8Cm/eGC2ULgpOV3W1a7ZY1bVmYpSaM6IPA+jmUQukDx1wj2GobfIMhrCL17hH79iJii9Iyp5Q0ulflEEzNDLkx1aWq3np77ehHaizgctLzzZ3bbk0dVZvafPlqUoFscX+GbqQTAS/gaI25xfMlQS7620ISpJaaOlIda3nLS2BrH5njXHew6ncjohcYgdgaxNQiMJLLT2OkHRj8yRy3n+xHoW5E+ieyHiDu8n7nvtzZ9ga1q2wbpI20Y6pPQmITWMDQ7vnHuG6eefuLrp4F1EjonoXcSehehexPaQNF9GFkb95rY6Ed6N9a7sf5QDG7juhZZSfDvD+1/KfFTIf2uDW6VcWBuhH4DI4nuE4PAGPnGODDBgQ/orQKZ9F5oDGJj2DT7LbPXNEaxPfKNsSmmKjtVhcySE88YB/bM9lPNGnHioNwY0fUxU5uU68NybUKVU4qeEdiCgAu0lMGPJkhpgqNTAh+SRI5RRaU2cdVp017a2lBq5CQ1hZHpzs6itHOHwLcoAmp+W84K2BbesoLAWOA92AOnqx+I9O8U/GkmZ6g5TW2RvmDoOc1MCHJOMEuynJBkp0q1lfogUNMnTuKpPbHWZYgJTWXVypirD3RhEGiT0Bi3NmaSY8+Y2FpiGRNTH9jqzNZyR0s8LfeMpWONA/PsiQMqW+CbHYQbnbRR7AIzw17T6kZ2L7QGoQ0kHIYPsjhwbvv+++c9xejtiFbPMtqOce2ZN7515RqnhnygSy8M6Tcm/8ISX/naeWRdN93rln3dstuP3V7LBdS8XuyMWt6k5Y98q61Jx1LthK9c8bWByI34+pirJxKXynxf4fpSY8TXEqGRCY2pwM019daxp66eOdpdy3+9G9w9Dt980rz9rPmv//jZ7/+3p4uWM+Rqw0Z1KfCpzC84+cjVHyI9mLLzfT+IwnK5vGHkgeo9QHrP86IoCAJvy73X76fsbnkhlfmZwPeF2kDl8133m3/8/N/+yxe//+Unb75o3n4WTp/5WeQklpaI0qjBjRrcmOeGEj82lJEpDXSho7LXCgeYdzemdqRyJ3ztimtc8o1LTQSCOf3I7kb2oOUBe5tu0+nE7nVgdWIX5PT7jvyVwe/p4itDOba0I1u7sLVrT+9u1Aq1Xmj0I3Ozs/8hp8KHMQmdSexNHnvDpjnw5MQQM646IbApQQLPqAVBrih6QdNzmsgo7C1Hj6Zm1FtHmRmFzwisIDCQuC9QfIGSC3TDyQejdzmOzygyZ6h5hclpZkZQBU6lCJbRdCFw40alyxBjHJ9iRIEQQAZnhZMrnFzC2AqFgW7XHCmBMzsoXy9wbI6jBUWtqPKcJLMKPRLLHbMyjk0AOePYHLesccsaAXtHVxlbcqoI00Y9pagpRhQ4tSbLs0Yj57mpJmWensbOsGkDXPnW5vQ4tkfP/H7LngZuL3aGoTllmClUev3RoxmCLnBiSeALFJ1BUAFBm63nY6R4hBYlbIagUwJPGDJp0BOhPNHqqaulrShpNdPQXfjO0tZzkZ8RxAIn3qDkNzD5Oxj/GsZuIVDDR2YUnnDMSCkP5cpYaqS6lHtOJ3Q6sd1uOe3YaHvqIDDGP9E02h9XhX74K/1Q6/pK25WubeHcV65DrR0bvdgZRN4w8gaBPwi+U7fgr/EH4gHMPwT7H4v0P1VMQzvz9EmdSXce3TH0oEoODH4W27nEJdXyBMOnMDaDiQwhUoJKKfoOJl8j1B1GrhG02CmtS/BdCVs/QmYQtChBBQSNMWTAMrmj5prYQeAtM3erS7FR0UCRd5KBbXJ/390rEKzA8BzHM4rIvg3pt2XLh2N4YK/LcXyBE3mtPC9X5gST0cycYJY4nZfLa4Za0HTOUEmVTiR24sjDUB/ExqhpjnxtYiupKaemNHHkcaiNWyYwLAD4uskimnavafUjux/ZgOYCArwyfF+W8Y9sCX3X7/ZDbXugH4Rmzzd7vtkPrL5ndz3rxreuPfPC1k506aUuHJjigSke2vKxp50H5k3T7bXcftMdNt1uZLcj6zq2gPf6sOmOfGtoajcSfy3UewI7lPghzw55diyKI0nKWC7luDHP9QW2J7ADkRvJQqpIeWDPWn7xabP4eXP+WbT8NPzd57v/9y8+/Z//9Omq5Y6FxoivLYRGKnN3vPpKkzSJF4WGLIuiKLqu6wOJPD+oVqubnB5w7ymKcl3XcZwg8L4f6QdyY2iIaWwtP4nuPm998/PHX3/eWjx1Z7qQKfxEZMciP1DFnil3PPnal6885dqXr3353BVObeHYFo5t6ZUlH+n8kVi/EthzoXGhCkDrvhdaoNsByvj9p0HvSdhuee2WdxU7x6EBkH7fkDZIb6pbpO/4WtfTuoHeC41+9NaT+AcKd4x3/WHkjANzbMl9oTao0mOGmNAE4I+k94I52x781ksG9LrAlN2CIIsNzKML9C0Lr0Cw7VgOAHvAkZnT1IKgE5zI6tVM4TNNSLhahhNrmMwZqqCoBU4A3v5mlBxBgN7Othu3JHAwuLLEiDVdycvlpF7LNSmzlIkj55H5UOnl4b1+3TJvWno/0vu+OnDkoSWNHSX19YEjDz1961+SRHYSWKlvvn8N798zCTfei/3HzsQ3ZxSdwKUZvFNgKJCjn8PwvFRawPAKhdcYsh2IB8NvCVxKUGiCwzMCy2vVXJEzXZ+YchboaWz1fD1RuBFbHdL4AIFGUGmCwBmOZRQG/AXmJL7GkCWC5CQxFup9R859Nw3tZNcb77rbnPvPt0H8kNjegf3A6Hpa21GuLWkD801r2HQ3RrqxP47+ivR/bPyFIX0/Mse+Nqoy0//lozsYTxiyr3BdU7iD0VsIWe1Ay0fwagcBc/lvYCLDiQzHgJ7rFIHmKFJgeA4jwCHzFkJmGJLVy3NdKAQuQbElhgEtyMV9lQtU6R+KdmyRfokgG8EfGFsheIFtRWS/M4l/7/G2Rzml8SHLjLnaVGQzVcwFdsowPZoY0fikQk3YaipziS0noTFqmt1YHzbtcWxmsZVHVh5ZWWxNmtaoZfVCY5Ob+fq2FtuPtvYl70Q/sIY/EdJ/Vzys2w1Cs+tpXc/o+WbPtTr3SA+q94eGuGeJzw3+pSWd+Dqo3nebTi92erED+s6bFL/ldGK77WgXqnCssEdy41RpXBrChc5fGcK1IV/pUk+Rhro6drSRq49sta+JXaHWYSsDkRspYuJps8fe+rPmmy92/+UXT//tl59884vdedMeiI2RWM+Feqrya1E71OUt0kuSBITtgyCIgvBt9R7k9CzLBkHgOI7nOWHo27a5RXpQvd8ifYev9lRu4MhDV0ldbRE5y6aTuMpcqGZCbSTWexrbdqWbSD2PleNIOnbFs0C5iJTzWDkNlWNfOnLlV45y4ilHKncmc2di41wTAP8O0LbB9eq13HbL6ez67V3/uukCpH/hAqQXjkz1zNZPLW3De9zoEqsdX+sGejd4aza8/f6+H+97T8JeaE0cc6apSbUywrCMIpb18pIiCorYOsFM6Y07HBCN36byQOmpQDCw3oCh7XZ1bY7S21YZuqmhzTH8DqdmBDETG4WnZq485itTDPsdzhTVcsHQBU4UCFbc9+EeruoCQWYInKObmO4gS5KZUHSHrQ1ip/fE74XWNPa3u957n7cd6qDkuCGeBGon0jpNvddyB4/9/q4HRITGsZ0FVuoa71/DLdJbyiDQpi2v2zJSV1uSVIpAKbqz1fMpIKiAdsAgwAq492KbdKS4z1cKCEoRZILhwJYqqZG52lgEZt70ClefmXImcTOuMW/Ul7X6ulZfV2qzei2r0BmFZVgpgx8lKDQpk2OuNmfZVOQSRwXmdcP70TjwMUEO8UdsE1v64Y/dQUZN88Glc/qB1fWMjqsDs5Zh0x61HFBd3M4F/TX+mPgLQ/rUs5PAGsnckMBnTHku8YWpThqNjfcSjU1pNKOQGYksCXSJIwWGzmF4CcG3EHK7A7+G0NcIsS6hS6j0GoZvd+AZBM1pYlGvLmh6AaEA6R+KZ9z349/C/DuzOffb0QrBl9jbFuR30e/f0o8ocrv1TWkyx9FhjZqw5Yyrj4V6UmZmBDGtMh2pNtC4ia2kvp7d+z22Q73ja2DVDO69xwaR3vGVTmR0Ax2kZ4PAGL67Kr8Lzv9MMD+8x4hx0xk3HYD0HVftekbPtdquee2ZW6R/eY/0+/YG6dstD+T0/aYLCoo3u85Vy7557HZ23WtPP9X4Q6GxL9QPNPaVLR45wrErn7rKma2eO9qFq1562k2gdQO968oDU+xrPOC3jRU+94zbJ+Gbz1q3nzXXn8azJ+4k0LtSoyfWErE21viVpBzokipyAl/f5vTfgvR/+7d/+7Of/UyW5SiKXNf1PCeOw+9C+pznujWmx9dAd2EgNjJVTDSxK9TGaqOvsm2dvbKFS1+5CNQzTz61pFNbuPSVm0hth+q1r155yoWtnFvyeWQcGvwrhT0S6+cKv1XOGTe9rmfcuNq1o54a4oWrd5ter+VfRfZxaDx3JID0x7Zy7hjnjnHlGgDp257acdW2p3Z8reMbYIbyh1fv+02/HziZ7xSWMW3UE5zIcfyWZu4I4pYkQWEKDNctCHJFUnOSBubxQJB5TlMLgpyj2MNltoTgJYSu7ifrincD8MsAj2ZNkXOamJTxSZUY0eiExoBrU47jcxwtEKSAoBkEzVEEgP0774MiBYbOIGSFkwu6PBYaw6bd+TTs7Pqj0BvF7rjpgRjFLrAhGcVu5jupZ6eenfobDtEgMHq+Pgq9SRyMm14ntDqh1W/Z/ZbdiYz3l8Q2HLnvSqmtdjwp87Xbei1niCkObZVtFnAJwPwCLhXQzgwp3YvbwEDN9w7D36D4XQm73UHXJXhR2smRj6Y1IjOkkW8lhjQ2pMRSZq5euMbC0uaymLGNryFqBREFgs1RZIlA652dNx9Bv/sIzh6Vxjg+FtnJPf92CGZq/wSYHz5A+h/967ExfHvWdEexD/ThQZtpeK8tOIqMYaiPoh99kvgPN8b2/5PIPSdr+uPAHOliYkh5YC5De1yvFjtwsbNlz0FLqHRbKt2WSgscm0HQAoa3yhALnMgRdAGXblFkDZXmpdKGTg/DdyVk8YEG9mqbY3wb0t9C7yD98t6F671Zu4fl+k0Zn75XqqeIvEzPyvSoSk1oIieJMYWPMSTH8Tlf7/vqKDImTWsCuHKbbrox8K1R7A6bbicyOpGxMZcKNy5zgPAIkB7Etx7Oxh8Mbf6E/bh35mge5PQdV+16WsfV255+7ekdz7pxjDNTOTSlPUvcs6UDRz7x9avY6ez6/V1vg/Sh1Wu53cde+7HbexYMnoXdyD4zpZMG+4qrH6nciSMDmL/0tBvHOI+sE18/cuVjVz7z5Gtf7QZqP9RSXRor/FhkU0WY2Vrhm7lnpK42cKSBKXaFWo+vJlxlrHBrSTlQRU3i30N6UL2vVCobpP+7v/u7n/3sZ4IgRFHk+77vu81mZJr6dyF9Uq+N2BrgV4/Y2oRvjIRGm6vcqPylzp9ZwrErn3jKiaudO9qlqV+68k2gtUP9JlCuHfnKli5M6dwQTyJ9T2f3lPqhWDuTubal3tjqtaN2TOVKFa506UqXTmT2XJN6S2s/OwAAIABJREFUvj2IvKvIPA20fUd+bgr7hnBkyeeWem6p15557eltTwc5/RbpwU76IwQTPGcc2EnkJp4xEBsjhspQfLoDTQhsROPDCtmrkd0a3a9QA6AuhxMZSWU0nZAkEMMHK2S7xtYleF2676I9aJhtu2gACGcIvITg2x24+E8fT3d25jSRUOiIRIA+D5jjXxL4EsPmKJKh8IqkVji59WkFxjBLqFTg0C0MfY0R61p1pHK9pjF86nUDc2scAjQctlYiYEzr/qkF+mTDpp3YduZ7SeT2A6sXWr1du7drX0X6+5frfgVmhjTmarNKpStUJ5G6sOSpUp9Vic0E4EbYB94i/QLeKdCNSAAw39skIhC8LsF3MHoHlValjwocyqqVIct1KOKGJm7K5E2d6XLVHl/r1svtCjUsM2OKnKEYmE4EovcLuDT7uJThWCrzWeQku96GRP0TVe8fnhV+6PtsCfn3SA/iHddXwK4PtWH4B7z1fshu9df4S4hBaPda7jCy8sBMXW3csga71rlaT8rMGMWyHWRZwl9D+LqELiC0wNAVjGw8mRB0CSZIUWSGIQWBrEhsgcEFKAYgyKIEvUbeanKAWdNttW+rnfUeI29bX1yg+OKeVvwe0r8jfb81umWojCImBJZSxKzCZArb5ZkhhRU4Ma8wGU2OGOJaZHqhsVWcBcMjSeQmkQv4T+Om1wutXmiMm07ScpPIHuw69zqPb6mUw9AER95hqA8CbRBo4PHDE/Cffqt/2AV4bwX1A6PjqlukB+I5Hd9ou+a5pR6a0gtT2CL9TdPt7wa92GkH5rWnd1y9G5ggTerFTr/pdnzjQhfPOP5E5E4N+cxTAdJfB0YndNot7zp2LgL91FdPPOnYFU9c/tjhOqbU1oSOzPUFdsjXJyKbSNxE4rpyfSCzQ6425KrTRiVRuNeCcqjyD/v0juP4vu95XuD55XL5He59uVwOwxC41jabkWFo34X0hcCnjfqkUUvY+rheHbG1gch1ZO5akS41+dSQX9niS1c59NRjzzhxjRNPOQuUs0A59cUTTzjxpFNXOXWVV77yld7Y0xqvFPZC5q4V4UzmTjX+UuGvVKFrqQPX6JjKhSpdavK1od74xnmov/TlF5YIJAtOTPnElG98a4v0XU/r+FrH13rhj5ZGGnvWOHJHLacXGh1TGMnctFFPCaogywumWtTqRYOds42CYxccu2LZCd+YClzBsXm5nBJkhm/MHrbH6i03HsD8vevlO3yZdQle0eR2Pv6OIN5Q1C2EvC4hUxhLcGJCExm1cbWfYtgIQ6b3I6rbXH/5qLR49PECg4qP//Pdzs4SgQYkOtT55LFzE2jbLsZ7N3S3CSzDrQ1tePt//c1E+MNy6CD4YKXdRy6wKUEuPkZ6ZXLoS4krDc1GwjF3OPWh9c4KRVcwtESgOVKaoxDYy3IUniIQkPefYUiBQvPSxwUKLZnKoiYsOb7guBnH5iI/U6W5ocwMZWZomSrOavU1Sr15hL7+z/Dyo515qZTDUIETaaWc6lIaO/eVjJ+gJP6nI/0wsh4ett4h+kb6Buy/24X2B25bPzli/UePf68rMwmdXuy0YyPZ9UaRMXzqTD5xJ4G21JRZrT7HqDuIegNTyxKeQegEQdcIvoDQNUrckvQKwYsSsoTgOxgtKKKgiHvqz6Yxv8be+mECpJ8/QPSH8ttzeEPxWSH4lni/9XqffaCH/87Y8P3TjNpYws/K9EzkRmw1J4k7jFyRVI7jYwq/kcrDh/NsG6S3k8ge+Rs5KZC4A4mIkW9sRGrf7bmMP5ju+a4v9E+/H94LcBABu2UvNNreJmlsO8qNq7UB6duzLmzt0JSem8ILSzxw5DPf6Da9buTeuNqFKZ3pwrnCX6jChf7/sveezY1cabpgT0dMxMSMJMISoAWQSJ/nnPQGoK3STNzd/bQRdySVqookHEl4IOE9QVZJPT135/7m/XASiSQAUiwjdc/GKt5QoEAAmXnc89rnpW4BXYRMCbG3PHVNJy5Y8j2fvBKpK5W9kMkLmcxr/I0Ja4ZY0WBRFbAGkJHoK5m8lJJXkCxAugSpCkvUyEObOOwmYv1E3CYO2mS8m4h1krERcdhj4h9INstTAkN6kV5RFFxrF4vFHKTH//n9fk3TcIcb09QB4GmS2oj0Y4LsxWOtxGGbiNnEoU0naoAuIbYIhBvA5iB1JVIZhcoqbE7l8oqQlZmcQucUOqeQBY2+NYWiBW5NmJGZn4T4e5jMcESBipco4ppNFkW2LHJVWWjqYtuQbU0sAS5HETmKKElcQeEuFeZnMfkGJN8LZA4yecRWNBEjfU0T6qqwnpH38hVgWyKup2/qsKuhoYJ6AlsX+YYk1BW+oQoNnW8YQsPkaxbfNIS+BsaAHcUOh+EIbgm/KKgLPsL7gG8W8LlI76bM3PkD977AbDs83Noa+/3TcOgusn0XDM7++dtf/nlrHNge7e4NDg+6uzuD7Qju5dDZj9b3IvZ+pHewM9iNDsPBSSAwD/g/BAPzgH+69d3UvzUK+Ds720NAj1JqzXDqvtaVno4ldRY1qbYO2xrEdSx1y2nzYy+2X0ffULeNv2XrsMeSrf29cSjSONztQXKQPGzHdwe70Wl4GzfzdnMJZ4HAPBRy639wUuGiuZ/vL5j8P7zd34m09kLNeKTNkx0J2jLTUti2ynd10DNRJ407nUNbF1oC1Y4dtKKRRiRcjQQakWBrJzgkEz2WbEt8UxcbmtTUxbYlfQaCvvCA+OxfcIbRdUvitfp0F9pPvbcvfN7/z8jfakBGqtwy5Vudt4/kpiG0U3Csww8CM9PRWOIHHNmniSFLjhHbg3SDT9p0vEnFOgLVE2ibOGhGgv1wYLYdnO7sjLYdXX/qC858QadV4yakvwsGMVemNx/IqQAKb+OU+2Fke7gbHe0tw5EbQ/Xr7XDwm9Po/mD/4C669xCKjIKhrt8/iu4MmGRXQz1T6izq2VzIx6PR9sT7cO0PnpSNmRMrLTb+mEaIdR1h+3AV6RWuLLNVFdRVWFNAEfEXgPoJJN9g3ntMqiMKBS55zZMlxBYhhXPuboTkNU/kmViOPixQhz/zxBsu8R4mMwrliMZkNOZapgsiUxCZnORIXuUKGn8pMjmZv5G5IqSqXKJBxzvJWJ+ItYlYJxnvJhI9KjFOxrps/J5is4DGSM+yNM7Ic216hmEc5pw//elPf/7zn7/55htN0wzDwEiPEHgK6fsJopuItcl4i4rZdMIGTE0BBYXLKvyVRF+IREYirjUaB+YrCleW+bLM38rMrcyUNbZmwloKVQyUkeif+fh7mLxk4tn4/g0RqwCmYcmYPbhmiJhXtSKBPEsWOOpGoPKIvpBpjPQXgMqKbF7mvUjvUK8vquywO/qFy6WSBrUUaKUQ5mRoW1IrpTQMsWNqHU1pa2JbE1sGalnQToFaSrg+hfU07CJ2cHgwCm7P/KF5IDwPbo+2lwq427DOi/SjgB+DPe7CMg8E51v+D4HQXTCIbdyBb2vq999v7z8Q5B1DD2OH453d+f7hHZkcs+RQ4qYKuJf5OyY5OogOg/5xYGse8M+/9U2DwV7I3wz7BvH9mSgMdLGuo6YJGoZQ1/mGIdgmcErszEXQ2nRSXnHRdt0CLQu6Jib+U91CzbS0gk9YUehYUtMEdZEesmSHS055+iEUmfmCH74LDX2hoS80CgSdg8YXdPrVBsJOFwC/3/Fk+HwPPt/91nfjYGAUOxyyVIdL2kLSltmmBqomVzc4W+dbhuAUCqZF+0i0T6SuDkaAnXIM7tAzRvRMZKcKHBqoYyoNXa7KsKmijiXZJvhy7rbPN+tdwew6eBYWI2kvYP6zkd57e/8/0j8zLH/kddum2EiJZZEZiFyfJdssYRN77d3tRuBbe9vfjIZqu6E2eTBVwFwXRzLf0UHLAL20MrDENku0dsKTUPDX7fB8Zxf3br8LR2a+4L0vdB/cdvo+PO5P7fBmBrdxhy23l+YkFJ6FHFrcwXZ4sBMZ7u2M9neHezvD3ejzhLhYDxjvRGe7u5NodBAKDYI79t5u92Cvf7jbIvba8d1RPDYQqJ4KuxqyMbXcgt/GqXQ3YWMRiW8aQs0UGikH5r20B00duo5Yd0dstFK+ruCTwVPd50V6doH0PK67c5Eed7gpKEIR8XmWzJKxokC3THl4bnaPVdsSa5pwi6gsfZgh93P04XuBfMcRGSF5KzNFhS6pzK1K5yTqPUpkJDKvMtcqX1C4rMhmEJMFdEYWMjKXlZkcSt4KiTqf6DCJDnnQJmJtItGJx7t0YkjGWmxsRjGX8BHSK4riZuQt2XBxlZ3P53PsfVXWddVbZbeC9G0q0SUT3dhh5/CgTcYbgC6p3LXO3WhCBlEZRN2qbFnjGzrfMgAmA2/qsKzxtzpfMkEthaoGX1PZvMZfsYkLRBa4ZC5xkGUTdZGvH6uYI6+sw5IG6qZkW3JNEko8dcnEMxyREZLv+eR7Pomr7AqiUFSFkiKUF4F5JzyfcqLOL7fp7QVbAvb/Vw3QSInNtNSytFZKaSzqKBoGxOwZtRRoqaDLUP29/Ul45z60Mw9uT/3+wXZwsB0choPj8DLJfLrlw4n33jx8rHE7aOcP3vsCs0BgtB3q7IXt/bBNHPYg0zJAxeSLJucQQOqgnhYbR1I7LXYN2AJkIxa1o6FeJNzZ2W7tRu2DvSYVb0KmqQFMQtd1WFofGbUrGrT7+C/MLXcxr6GBqaW2VGCboCdynd2d4Zb/3hea+YJ33/jn3zpFRA/+8DyAxWlOf+9zmOpxH787f+Ah4O/7t1oH0Z7Md46kalqspFAt5ejadX3Bg2EALC5kLjJmlbaldFJqI63gwEQd1+Pqom1IbUv5PIRYf+S/TzR1E6DcmqVPOuY26sFfaE6tqIabR8wEj6w3C7qa6JOydnvr0/GUVvd7zF0jJdbMJTg5WJUSbRP8V5yeRfbuApGP/xKY/vPWx2/9M5//oz+EN8gkFB7vRAfxwwFHjkTORlRT49pHqJtCHUS3YnutyHY/Ep1FoqPt7XEkPI4Gh9v+SSg4CYTG3/nvv/M/bAVwZyw3tD/y+abhwDAcHEa2x5GdcWB7GoxMw9vjUHgUjcx3diehcC8SHiQPu8R+P7o9345ictxxJDLd2XGpQTCT9ygamW5HcBrgXWQbVyH9Gt1pb201diN9yNuKUJbZus7bpuBF6y/UWX9Xcetd8Vm30qPBq6PUNFiW+YoEKjIsqRzOAytJXEHkLkXuHaCvNTEL6AxNYF89btRSSSH7RKmZEKctFwF5w8SLHFFi2P8pJH6AiVuZKRtcxeSbJqin4Y3GlVSupvC2DtsmrFvgRmcySjIj0e8l6mcl+VanciZTUpkaJBt0rJOMdROxFpHoJ+IdKj5kySlJX/EkTxEUGcdsuNia1zRN1TXDMB5V2fn9/hcifStx2CPiAyLRI+I2nagKVF6mLxUKR9/LhmBbYlMDHZnrS5jqCHQ11LakuoXKhlA2hKoBmia6NkCGI97DZJ4lClT8BtINSVgw4Do0Q3Za7RxpLVO2NRFHQa7YxAVLXHLJLGALkL9GS6R3yHOw9/6zkN52SRCx0oAZY0ypaUo1Q6wZIu5z3DbFnilVDb5loJ4o9Ih4L7ozCm5jgttH3WMXzdYeQmGMZ154c3jvg/7JIqg/CQSGu9ERcdhnEz3IDFTQsVDdAlVLaKRgO4W6BsRUEk1T6lhSV0MdyA14egzYkcgNRK6L2I4sdFTYMhBmWNuI9OtL3/4UpPeenm0FNFShk5KHCujt7Q6/2XrYCn0IbHupf0chJx6PQ/LD4ILdNhgYBv0Df6AXCMwCgV7I30nsdSXONlDNhHULtVIOb0bDWECFLmBp6DyWxcEtYXHcQi75xiID8QsPiOc95H+Mg/H5G3PIOxV+he3rs+VrO04ldxaec8xi7c36+lrU74T0HR21NYhZ87BgX3QlDaaxeC3g7wZDH4ORSSB05w8M/T4cwJr4fFNfcBQI9sOh/k6kd7Az3Nvr7e914wd9IjY8PBhFd6bbOw87B939aD8amm2HPwQDD99tPWwFPgRC8+C228tqsqClwt2epiH/KBTA4D0ORabbO5PdndHeTnc7hKlv+juRIR3vk4f9nchsOzLb35nsOs55HL+fRHcn0V2XFmy4Gx3shEfRMM4YuN/baYeDnWR8bMhdS22aqJ0W2ym0gvSfevD+kYJpLdyd4l0PrmutYcCqCsoyX5VhRRHKGo/zwEoSl4PMO0C/h0xWEt7R8SsqUVGEuo6aptSwZGyJ1UzYSIlNE5URXeSIGyp2TVH/ExI/y1RJ50smKKeEpgnKFrxNgUoK2ZbYMlDXgH1LbKdQXecrinArcTmJyst0SWJsRPdYckASTyG9QCdpKkGzFM0yLtIrmmoYxipHHvbs/ybS94h4PxHvxWN2/KCa2L9h4lmRvFLposxXDeA0ehfINpXoUcQwSXR5qo/YvgbaptgwYEUX6jqyLfnGhFk++VZIZOn4LZusqsBWYNGADv+AITbSSufE6JwYnSOte6zXdXQD6UsmfskQGY7M8kwecDeAL2mgpHhK6lW+rjuR5k9acNiV5I2bOn4kHTYMiEtEcAF0NyX30lJdFdqm2NPFDuRayVh3b3cYDo+Dodm3W/Mth5gd18GP/f7popuqV7BXfxD2TUJ+rCJMQuFRbH8C2YmBujroGrBtQq/v3TZB21CbqoTrEVqW1ra0tqH2DK2TknHFNs60b5kizmLtfArSP3MCPvWnpgzqKuymlaEGe4f7fV9winl5A+E7f2jmC2JdBzfvwSqOR90J3S36+fbDge5upMcQfUXA9X62gTqWhIll3EbyLQM5qbk4vrDcqNLi2T/HRb8xgr7ekG3FrF//5B8vK0hfV4XPQ/rf+xFaprwo8lwd0g3o+yl5Fc/oDRtnsOlpV70+0c+vinXxMuMuP6+B1qk8ZehmdLu3HbkPRUa+wMTnm4SCo4AfU0a67Rumfv8kEPjFtz3fCuLuFTjWPtuOzHd2B3vbo2j4LrL9EAriJo2YMmuw0J5Hga1xYAsXnsx8W/eYI287NNreHoRCw8j2cG+nd7DTw6Qgke3eXnRAxfrkYXc3Mo64LWXD3e1QbzvSj0SHkeggHJ1uR4bhcC8S7u5GuruRdjTci4RH0UjvcL95sGMzZE+XW6bssNcZwrJ33CcevH+wOI7bRWr9hrpZS8RI79j0ilBShJLKVVW2pvBFkb4E1BsucYW4LOIvWKIAWdtyiukbaaWVUuqmVDXFekqu6qgqCzXEXScO88nkv6PkO50tG0LREEoW3zRR2YLXKVC2YMOALYVrQbolUB3I9GS+ZKIbA2R1NqMxeZkuomSFjdepWJuMdRMxO7lE+hlJZ3lKoJMMTdAshW16zHsvq4qmaU6c3u1lhyvwfhPpu4lYNxHrxA/bsYN6fL/KEBWRqWlCR4U9XRwaUhfxNp3o0sSEpWc0NWRJ3AW1r4H+kdo70ttptZlSbkyYg9QbkLikDks8VTelli4VLYSt57optY60zpnZPFLrKdk+1poppSAyFyzxnk9eAiojUBmBuUZCSQNlFZRVUHEz8DUBG9+fgfRO0MjjFbSXqC+4oe6O5aSj45z2tgL6HNU/2O+FgqPQgrpuOzwNh7DlilPKsWCAx6/HQd9kOzAN+e/8gclWYBiO9BPxnsz3jlR7YWQvj3IDNk3UMxWnc7whNiy1bioNXW7ojhekqqOqjivoltTrjrv7BXvgM5C+o0uYwaqniwOeHiZiw8O93l60H93uboe6wUA3GOiHA5glexgO4v/3g/5OwN8J+DvhYDcS6UWj9mG0Tcb6Et83pKV3QYetlGJbsvc4xs+1CQwk25Ae5f68GL3WkWDdOfz3ifTeR3A5Az7pW1jWmxp89m14B9Dzs5LLd+YwiqtOCi32w7llsYudKz0hHie56yh+Ih1n4ww+r9I9syQ2StUAtRSqp8VKClXSoJ52eO97qjBmqHY0MvKHPwS259/6PvpDf43ujgJbI/93U/8WTqTF6u+DP/hLIHzvW3oBJ4FAL+RvRQL3wdA0GBzvbA/3I+1osBMJ9MO4+i40DgcnIf94cbBgsHeQHvevC4Ym4e3J7s5wb2e4uz3ZjQwjod5OqHcQ6R1EejuhcSTcifh6e9v9w91ObL9zeNCJH3YOD1r7e6PdvX4k2o9Ex3v7o/393l60e7AziO/3BLolUC1ZaBtyUxcbhtgy5cWuRPZ/B6R3bfqNajGuN8be+6oKqirANDAllSvLbFGkL0HyDZd4L9BZxBdErm4qrSOtqqOqKTaP1Lal1AyxbInVY6VowIYhtlSUj+0XkokfEflOZYoKW9S4mgk7lsM13lCFjsz1Edtlko34vp2MjQDbkLiazFUUDm+QhsTUeKJCHraSh91ErEUSGOkHTBIjPU8RNJXA3ntZll2kVxRl2Z/+H/7hH16O9I3DPTt+0CPiQyo5YMgBy/QBN0BCj6W7PNMT2A5HdjhyKgr3qngngR6VsInDJhXvidwopfbTOs50y5sgj2gH6QHTTCkdU6kcyfWFq7yZUppHasVARQPWj9VKWs1K3DtAvofUBaLfAfICUFmJc5G+qoKKIlRVUNMg7muynsrxzI59ikXL8SVasGmCpumQPdm6k39QM2E9LbbTcl8DfY7qxPY7kUAn7O8FfIOAzy11nfiWGL9i048DW9j0H/oD/Z2dDk00NVBPi42U09bMpU5zyH0NgMuxlmQsuIgFn4OG0jQUbD+5lCwL+cobBu+Zji41VdTQUNsU+yYaanCg8F2RmdPUjEyOE/FJIj4lYlMiNosfTmMHcyJ+l4iN4wej2P4wdjhOxCckMaNJG5K2zHYN2LYk9wRvaMBp0P6COGtTh03d6eDu8m980uOs/74LnysR+r9DpLc/C6HXx/OFCPeUeI0kL/pijG9oqK5iqlFHFqSWq3jvRm02ipu94YZp3Lnw3oyXSmF9Eten70uQvpYCNVOwTdDRQVcHPch0AdWKRvpbvnkg/LAVuPcF5r6taciPjwKXZGLq35oEfW79LU7UnQQC/aC/ve1/2ApMfL5BKNDfDfd2QsNIaLYdvg+G7iMRt+cTZqeYhQOzcGBRwupQ69yHIg+7e/P9/WE4PI5EcFJedzvU3Q71w6HR9nZvPzShDmeIGYl8T+Q6stBV+I7M9bCfMhKdbu9MorvdvV2bOGjzSSdIYUktU3a5Olqm+N8F6e21Te1dt+56aJqorqOaBmsaLGv8rcoWFbYsszciewXJNyD5hiGuAFtQhOaRbh9rJQ3ULKl1ondSes2QKymleqTdGmLDUjumlifit4nEG5C8kOmqzOGmumNL6VtyF7FtnmxTiS5N9Olkn072GKLLEn1DwhCDPcq3MpPhD98no88gvTdOr8oK9t5LkvSP//iPy4y8FaR/hiOvlTi04wdtIjYgiQFDDhi6T1N9murSRI8l+4AZSvxYQ/fH+v2xPjbEPke1GKIjUGNNmqa1vuVogjlDyCP6DSKu6FgFcXZa7ZhK/VTDZEOYeaBqirc6KBqwdqLeWtKlwr1F1DuRfi8xuJ3dlcTeyEJJgRjpq060HlY8MXuvv+55pF+niMdguXZmwSbmeTCQQ9yLG4spfE/kBvH97n60HQ52/f6Bzz/yBcb+4MjnhKVdrkp3Y+MMvn50u7e32yUTHZG3DVTFxX4eKl/bzU01edsUsP7RNiFuktbRcfWqg/oY6Z395uZ7e5DvC/eh9+hsqWhZSmuJtiXiPjpOvaIJGoaAe3w9yquyYCMFm2nkCs6tsy2xaUpVHTkJ/2s0AL8tCwqOpmcnv/C7Txl/G5H+b35gPXX/X/4LXwXpV76L4RlvTzfQ5ooL9vgDNQ26WO5+y31/5Z8O5D9OsHJP7d+cwS/03mO1sm2KXR20EdOhiV7icBg77AhkOwX7bNJpYOH393zf9b77l2V8PRCYBH2jwNYosDUK+bww/7AVuP/OPwsExsHAOBTu+/xDf2AajNwFInf+0IM//MEXdvvNT8MhzKOFmakmgYBLQ4mD93fRncnuXj8YxL22HfLNRXFdJ7EzBtTEQF0DNjRgW2LnSOoeST1Id6h4b3+/v7Pb3dltHe43WKIhMW4P65UNYi+OxL9/pN+4ztdz9PBKq+oIp4eXFKEs8zcinxHZdyJ9AZhLyGYlrppWa0dKSQOu7xkT4laPlZKJmimlm9Zu2eQNkfgJJi4VBl+lb8kzU50YWpdJdqhEM3Fgxw/GgP01pc51sc0np0lqlEgOiGSPIoccOxb4ocD1OaaVPGwTz9n0NMvg/vS6rmuGLsvyP/3TPy3r6V2kf573fpgk+slEJ37YShz2mOQIsGMoDCA/gPy9pdxbyv2x/nBm3r+yPnyf/vCvR7Mz4y6tj3RpYiofTlO/vD6enBjdlNxJyTlDyIr0G0RkOKKhQPtYsw2peuLk3ldNEbujb3VwY4DKkXxrSVmFx0j/TqTfQ+oCUFeIySO2KIOyirwHQUkRcDUkLr17yY592bkmecR5x3FIYoqoFBppYChxA4Hq08SASgyoRJ8melSiQ8VxX8I+GR8knRd9Mt6lY3020efJHqR7Mt83pG5KbqdVh1DCc2xhX0JzJQkZv6mBpsY3NdDUgK09ykFr/g5I790qDQ3gLNPmogt7Q0MtXWpoErbhli0rsOvVeY0WKZNO//VFD1kJk8Pj1sPNNRf9upN2pfTWvStv84yXyEpm4kYj/r8LwH/GfX7dh11XklzMri6Ucrw9H0O++yfg0QkcWYTnwEbBc72C9Buf6+sOfs+UsBtpqMEBT3f3dnuB0HAr2Eoc1FPCkKdmsYO7g915KDTc9t/vbLsEdk4jyoU5fh8MYTrbO3/gYSvwwRecB4J3weA4FO4Hw6PozvQgNj44HO7tDff2hrvR9uFeZ3+3txcd70SnkfBdMDjd8k3+5dtZIDDyfzcO+sZh/yjkG0XDg4PdTmzz09bRAAAgAElEQVS/H4n2otH+zs5wb2+4szve2R3t7g12dxv0QU/heiZqGLCs8TVcyGqCoQYHstBHLKajbkt8W4MtU3QZbXGprdMQ1hKX55Ul/v0jvXehOksU1wF6jlxcQF/RYFmHZV0saehWEq4Rd4WYtyJ9JfFXEp+T+XJKqaSkoirULAmXaFVNsWZJjbRSMVDDkrvHehEy+WTi31HinUHjyHLXEO905c4yhgoYSvwAsiOR/5hS/5/vj399nZqm5XtTm2nyUAQ9gW0xZJMibDpp00mbXCJ9m4yNmOSMpPMctZ6Rp+u6qmuqqn7zzTefg/S9w4P2wX6PIu5k+JdT6z9enXw8S98fm79+f/TwOvXwOnV3bo5Otcm5cf86df86NTuzBqbcN6T5ifnw6mh8rNu6UNe4rClkRfpnMZnlk7Ymtk70hobKR3LZEmtHSj0l4452tzq4VvkbAxRNKSfz7yH1DpAXiL6E9CWgLgGVBfSNyJdVVFNFjPRVFRRlviyzGOxfjvT4xYqO73ntIqjUMlUnQq+JnYXzvGzBYlqoHoF6GrTSsJ2C7RS0U6BxBBtHsHGEGkeomUat1FKaadQxhH4K9dJiLy11U2LHkvDZ0VKdrtg4Kunsq0XOnYudOBmkbqGGyTdNsNhgkm1ILV1qGcgJOrwA6Z/3Qj81dDVTsC1oO5Av24bUVuW+qnR1vavrXV1tG2pLV2xNbumKbSgtXcEvHLe8Bloq31L5uirUFd7WxLYhtw0ZR9kbj9lhX66xuaE47+n/jKz4bNade/YTuuDfswbwElnRkL4cFN1fwwO4jMeroovcLmC79TIY5jGWuwk3WHBlMy5rLsvsCt5XFAEzduDsKvuxcvzU3H3FaAuuF2+lpGFaHslCP3YwDISnvvB9gmio7CC2N9+Oftzd/cUfmvi++xgKYj6JmT/kMEg6NJq+madh1TQYxM3mx+Hg/TehSTAyTBJ9RWgaQlVhGjJtI2qigp5AtRIH7Wi4HwzOAoEPvuBffKHJd1uDrW9GId9kJzTaC4+J/RGf7EF6cLDf3om2opF2NNKNRPo7O/39vfbeTh0RHQv2ThScMd4yxZ4FexrbEdm2ytu6ULdALeX0rW5qAFfE2AaydaFtwrYJbQOtI/3vWgH/tda87dns7v27ZXi4E1VJgSUNFQ2xpEk3IshB7r1Av4H0W8hcSXxBh7VjvWyJtwpfN6VmSilbYiUlYdSv6qhhya0jrSjzWTbxf0uJnwyqaAglna+rwkRX749S42O1b6KxJT2cGB/PzfmxOj/RPnyfmrxKTV+lpsfG2JCHIhgiYSahe1V2kb5HLJG+wNMrcXrcn15WFV3Xt7a2nvTe4zg9yVEcRWCkv0sQfZYcJ4lW4rBzeNCLx2aQ+9/fn/z6OvXh3Bwa8K/fH/16bs2P1bszY3qqj4/V+StreqqPTo1OSrYNNDjW7k6tsSXZClfXuKIB3yr0DyJxAZPNlFI/VqtpuabB2pHUOJKqplg3lXpKv1bQlcTmTZQzhKzOv5OpdzL1Ix+7kugMYjICleOIksR5vXy4OsI9Ebw+/I1w7p4Fn7RWntz5MsDSUGBDgU0VYXH86muCW8g4jR9wYqAG29pLb+bvwehcd5DaxjJnaoUNwyHg06FbkoTf/Ntu/vXl8amD/ze8eS9UP/exjYkLlhNzwTFyt7fhZz8U7gZmL2qZcIZzXd1gji88cJwH0YWKDKsKqirI9ec/svUVVJWFqizUlFVb39XqbI/r/jMQfUUhcOWpbEdc4eL4pVS+JTJtQHcE6k4SBjuR6Tffzf7lu3HQN4luTwKBh2+Do4DfFdybCsf15gH/g883821Ngr5ZIDD71j8KbveIeIdLtgSqKbMtU+yk5LbK16lYcS/cBvRAFvoSb/NkPXlYO9xt7ETbe7s2udtiYx2B6CC6I3MdHbVN0dbEGiTriGqING5DiqWlcMumsTrEGWp4Ep8qZ/hNnoO/c3nq0ZqbDPqaAqoKupXgNRLyAp8X+BzkLhD9IyJ/RtSFzOZU4UaDFUMq67Csw0ZaqZmwrPE4+FgxQT0ttk7VqgXfCYmf2MMrlb0xYUnlbB2O09rDq6O78xQurpu/su7OzcmJNjvVZ6faNK19fHX0y+vjv7w++fXV8S9H1l9Pj/73+WmXJ1uJwzaRGCeJNnkwYJJzis+xNKSSLJmgaZKmaVV2quww0odCoc9Bepyc2U/EZ5D7X6+PPr6y5ufGyES/nlt/eZW6P9XvzozZmTE50e7OzempPj4zu2mlZYqjU+Ph1dHdsdY1YMuCJRO9VegfpeSVSLWOtPqxWjtSGobDl1KzpLqpVAylIMOMyOZUIaNxGY17J1PvJOYngbiSWIz0GY7EfW6KMn8rcbi2vqRyXt3f9eGvTK17nK0v6I3w+aKDQxOxYCB3LFQ3gr4mbkHg4uBwuGlffjD9zZHe3oR56znSLiUFRno38/Fv5et7dLcLZeWThvH3GPaNtvVvQLi3MOFpeNuI9CtMZBjpv9ymtxfI4cm82+CHr2kQ05AtZGnTO/3LV5BeBZiqrK5Cb7S+pkHXe28/PrW/7oxs+IAJsNusYQgNnW+pfFfhuxLXZYnOdmi65Zt/65v4vhsG/eOtrftvAh/9oY/+0Adf8GErgOX+O//8W9/I/92d3zcP+GfhwDwQnH8bmG7vDFlyIAsdmbMVoYmTczXYgnSTSXQ0YWCJfRO1Vb4rcT3IDHh6JDB9mRtowkB3KLPai5BzQ+W8DWNaBsAWuXcLuNrMc0rSV0L6jYP5VaZsZaae30den5ZnHJCL9BUZ3oggD7icwOYBl4Pce0j9AJOY9/5KYnMyf62CW4V3HPgpESN940gqG0IthewTpZ4WL2DyJ/bwUmFuDFDW+LYpjtPa/Xl6dmZ5kX56ot2dGXdn+v2p9eE8/ev3Jx/O0/fH5sOR+R+nR//1/Xkf0G0i1kkSEzLZoQ5dpAck4SK9IsmaohqGYVimoijRaPRzkL6biPXisX4iPhP5v56nHs6MuzN9lJY+nhp//bfjD+fm3Zkxf2XNzgws01Ozm5Jbpjg80T+8Pp6dmF0D2iYoGvCNRP4gEhmJttNqJSVVUo4PHBcj1k2lpKGCIuRk/kpiMzJ3qXBvRRojfUYWMiJ/wdNZnilA/hpxBcjmAXUrcbh13uOThXOde+6Z7hYf2wbCVsj6cvEq8s9k7jxaOh55VPG1Kb2/ZawmsPxh/bM3HmGfsdM2ljZ5w3Ur9JauW8/Jm1s4AP6A59344N4sS9dp/xIGod9JwfpUpF9BtSXKerriPpNxtsH1sq60PasTP3X/tqeiqSpzSze+4nHIa3xJ5UoqV9Z4r5RUruLJ3fPm6rs/spLN53Xdf925WF8P3sHBiaV1C1QNvqZxtgm6BuzqoMLs16LBUTCEE+uG4eAoFLgPhye+71zBifdYOuGtcdg/DvsHYV/fv9X/dqu9u21Dsm+JHR01NdBUka2JHR11VNhWeXthnuIXfUvu6eJAF7sG7FioYyEc+MN1XDUT4sRYJzfWIyuJxr+9nj8R6VcWz8q1vJ/8PB/MU3tn5R3v1vZafUukX/BzNDSwgHlUU1BFAreQywLWi/T/DoifROqdxLyXmCvE5GUed6HFbG8VDdYMETO9VgzUPFLtYy0j0T+xh+8l6sYAVQP0LXlypN+dWuMzs2WAQUqav7LuX1mzU31+bj6cGb+cp+6OtV+/P5qf6EMD3aXVD6fmf35/MhK5NhFrEYkpRXbpWI8h7kgux9JCMsGSCYahaJqWRUmRZMMwzJQly3Iikfh8pO8R8TtJ+OXMvDvT78706Yn64cz4r//z/JfXqdmpjpH+7sy4OzNmZ1YvrbRMcXCs3Z+nJ0d6W4M1hS9p4EdE/DtKZCS6daSVUmLJRLYlV1JS1RQxp+mtAooqLBoiBvsLmf0Z0D8j5kcuiZH+UmAyApODXB7xWUDnIHUtsSWdr5hO6Z1zWMgCLkx03fjeKW+Z4lNI/9S6/5on+5pF+wcj/Yo286k/8iTSb7oc5sR2PmMsG2D8kUi/cWafwtdnEPflX/lU+dTHsR8jfXNB6uymST83I+tM45uedGWFPK95NB5XPWCiEpwuijVs7Kv3YnxFF6oGqBp81eArOlfROUyHVVEErKbXFL6hcg2VW1EXXKRvrqnjX2u1eJF+wzQt2mLh27Cxfq/BNp+wd8KjQHC6FZj6grjh7DwQHAe2sDhF8G513Hb4Qzg0DwVGga2h3zf0B3qHuy2FXdTgSK6P0N0yTRNhRi8c/lsMOC5EXE4r5vp8Kprmbevsfcavvt3sTUi/jrhfd18/s09Xvl7X+brOY0+SEydSUE0VcVebHORykCtAPo/495D5USB+kum3CovN+rwiFBTuWuWLBrTTasVA2FitGAi79Fsnekaif+RjGOnrOhikFIz0o1OjbcJeWrp/nbp/Zd2dGQ9n5v2pjvPy/uPfju/O9K4uzI6U+Yn2l389Gsl8K3FoJ+Iu0k9JNs8xgCQ4inB62SFRFiXMhqsoCs/zn+m97yfiPSJ+p4APZ8bdmT471+fnxi+vrP/6v15hpMd3fHdmzM/N+av08ERvW9LwRL8/T0+PDVuHNYWvGOgnMfmDSOQUtn2sl9NSKSW2UgrOXcTp97cKX9ZhJaXcaDAjC1cS/0ag3gjUDyyRkYWsBK4AlxW4POLziMet7W5krqSBioGKqkuRC2uK4zAsaxu4QjcivTdEt3mH/27y1U+r5/fGFyL9Mz++MrzYvFtXrf6Yh1156s+ezT9mdrzL71MzJXF3bdyW47fB3ttcB8vjG7DXDuuNF125pRWwXzY40UBDW7rlHZJRp/+kQ05V1/maxpWXPjm+rgpNzWlb7nVauG1GV27791s2G4zCBbdmU4dNDbQW/LgzgRkfHMy3dx/8kflWeOYLjr7Zmv7zFm5qhbmxcToelvm3gY/f+u+/9U39/lkoNI/uTEiiqwtVC9ZNqWXKbUNtG6ptSA1DrJmwZcptS7EtGaflNk2priNc3e7WB71kkXun+IXz+xnj9hTSr6/5L7/QJ+1rd07dPBXHOFwgfUNDFUW4lviCKFxLICcKF4j9CSQx0l/IbFbhrzV4q4OiKuCq+oqBcO59zZLKOqyn5M6JcSXRP/KxC5m+NWFNE3qmNE5rszMH6Ydp2UX6+bmD9HfH6v/6P84+/mt6lJbuzvT7U/3X79NDiWslDpvx2IRMYqSfUVyBZxFNchTheu/djDxN0yRJ+nyk7yZidxp6ODPuXhmzc/3+lfnL69R//o/Th9eO/2F2qmP15O7cHBwrHUsaHGvzs9T02GibYl0HFQO9lcgf0SOkd6sUqqZYMUFJ53HFQlkXczKfVfifAY2RPquAnAyuAIsN+oIoFEShIHI3soA9AbcKKMqgoghOYoUKKopQlHnXY4/x5qmTFL/p+sd+P0TcuPf+MPD7/TQY7/bGuI5tO1yVt+Du/dvQzrzkqdex9o+Rp27gJQ+FX7hIj/1YDhY+MdTrSO9eEefWrZh6L1ktLih6P+YGa5y/GhDbTy5P2fJPj09e93JtU2ybcLklPXfeSi1ZkL8cMDaO/4rvdzksCyVmJSrX10APMlPEj3mmSybaRKx9uNc73O/vRAa70cFutL8TwTLYjQ73djo70cFutLsfbSX3+2xixFFtiS0dAZyxi/G7pUu2IS0YtNCiGMe57YYG2paL9AvX4OLGngog2k+A8Vfca5+6fr7kWr95iRUV1i3ScRM+vOmfNVW0NbGmwVsF3MjwRoYu0v8gkm8V9lLhsgpfNMSqKeKye9egx0iP0+8x0v8kxK9UtmjAmiZ0DXF0pN2dp8bHeteAoyPl/nXqDse+z83Zqfbx3JyfaP/5P05/+bej2an2cGbcn+ofX1ku0g+TRIc67LPJO5rP8oybkccwjKaouqrpuo557z8T6Xvx2IBItInYnYbuT/XpK2N8pt29Mj6+sj58n7o70xf3qj+cmfMTfXaqD46VjoV6aWV2Yk6OdIcA30BvJfIHmMhIdPtYrxzJpZRYM8SapWC1CCcu1tNixUBlXcwrQl4RLhD9MyR/5JJ5DeUVeAXYPGDyAIfqBSw3IrgRQV7mryW+iHjc8L6qgpIiFB9X4zxzkq7b9C+kGv3U1bzuq/+kTlAvN/5eeNtffft5z0o8+C7SN19WAvc7yVNuvb8r+aTHsRfee5d7zrV6N+Y8Np+N06/8rP3Yjf/yW3LvauXrzj8XzQtsAy3LR3VxJQC8vsJXMj03Iv1nLK3nkX7jHOGAAv6Wkx5hOW1O7GOteaTiRK2mIbQM0IJ0GzFYOiLbEdmezA9U0FL5jiY0Db6SFlonYt8SbQsWXykLR8uSycN5wAVDFH6BwyItT32j+/gY5tcfcGUjvGRwvlCFeuER+oXywg3V9DSFqsocNuKrClphbmioQlUFRRUWFOFaAlnEv4fMG0j+iMh3EnMhs3lFKJlSPSXXDLGqI2zWN9KLQnFDxEifkRkX6Rsa6JnS6EibnVmjlNrVwXiB9LMz4+7cnJ5pD6f6w5nxy+vUx1fW/al+f6o/nOofz82RzLfJuJ2ID4hEizoYcOQdzWc4GlJJ7L13kd4wDN00dF0HAHw+0rcSh3NdxEg/PFFm5zpOzZueqPevLIz0H86tu2Pt7swYH6vdlDhMqy7SN01UM8T3Cv2TmMzKTOfEqJ2olSO5Zoj1lNpIKxUTVC3YOlWbx3JZhxUNXqugoIJLkXkn0m9AsqCLeQVeCgxGegz2BcjjWogCEHISl4PMtcAUIVeR+KoKyiooqsJThCrPL+IvOYKfB7OVFLxPpuv/XKRf//zXRXo3/udeyz0TMdLbj8Hpd938L5lZ12LzsrKvizc7bD1T7CvKxgSi55+i5QmUPGaWhesrykGphem8THDzPMuKEwsPzvPpis1NpqHXJvb+IO7UuUxcNWRMt9DSlbbp6WC7/P1l0GeZWIBt3IUy8YVI771n70+t44SjqZgIjxtmLS2pXFHjqhbsG1JNEmoarOpS3ZQ6R1rPlHoG7BuSKz1d7Oli35AGptxNyX1LbFmwagktA4xkoS+BlinijhVNHTZNh3e2bYodHbh7yl4kFDd12LakJW+3BXGnFscvYq6OmDdYs/JcvzkanzGS7vZ352jl177u+bOyrzduKy/SV2TRrfBcFIBwFQWTzwu3Cl9QhIIoZCD3HjI/P0b6qik3U0rDkpumVFQFbNBXTdGlde+emlcq+wYksoqD9H1LHh/rmGymowmjtIxz72dnxuy1NTnXH071X16nPpybWO5PtI/n5q/n1lgRujTRThIu0s8Z4Yql3Di9NyPPsExN01iW/W2k5x8j/TBJtIlYO3YwIImpAmen+vhMn5xo98f6+Ei5OzNmp/qiTsCYORV31vTUHKbV0ZH28P1xx5JsHdYV/iZFXyngBzZ5mwLdV2rTUOy0ialw65gPVQe41U3NUmqWciMLWYV/I9E/wORbkc4pbF5mryCZE4UsYPOAu0bCteDUQmQBmxW4jMBcguSVmMzLdEnl6iq0NRkX49bVx81jnj683NYajyhrVIRjcu569TTbkJ3gmbH0fD6zQ77cmLMf6+lPnU0bNy1OhscNtp02AfpSHnn5dOj6AN2/PlNTgM/uDva1LojwmiZwjbYFE9H6gD8q/XrqkXFMt+k2OTUBvor7AovbBdVh210/CIylJ/kRM+sjIHdoNKqyUNOEirJshNVQhbrC12RunejNSQ1ZMDi5v7wAVODKOjcc9iLWFODirtdQW0cg71y7Np/teXPliG+lJBcGnFuSnXx43MzD5Zd0V1RT9zBMm4+X2WKon8nB3pj87NVQcbCgvaBdaxp801j2JnbbE7szuyLrCdXO60Uc3bvgG4ZHjXg2mdxZz/qjPB5vUaKHx/cR39/KesYfruuglUKLvPdlZ+2GARcE8k7HP5eky40wroznuibnXOhIwvl3TWeHQkdnMtDKvl401PB6C2TvPTxqjLmQDSeV/og+/KnFuSJP6Q0bk5Efrd7nj1CP5tdYEGW6DRdwUr1bqOm+U1NATRVds96pr5P4ssiVVK6qgooECpC/QtyFxL+XmLdC8g0k30tMRuYKKqikHAse8+LVj9X6sVpJSWVLrJpiM6X0F0j/TiRLJrItsaOjYVqdvkr1LXmYkibHKvaFYzaa2bk+fqVPz7T7U/3DuXn/yrw70z+cGX95lRorXIdJ1IhYNxHr0sSAIWdJNiewQjLB00mSJBiGkUVJU1RZlhVNfalNv470nWS8m4gNqeREBtMTbfrKnJ0Z2EvvWvPuTc/PzdmZNTuzRkcaRvpeWulYUstA1xZ1KQs/sMliGvZea3VTaaaMesrT4cZEuBVg1ZQrhnSrgCXSIyorMwWRyQIyJwo4Wn+NBFz1iPMkswKXBewVpDMomZfposJWVVBTkIv0Lsw8r6s2Fs3OHyG9LnqVg4bm5fEGiwLfVTKZT0L6p2TlxHQ10402x/rnV38NH1iWR8fX4Yqs4LcL/PhPbpxy4xdt12uHz2tDcCly3fFZvatnbQ4v0jvcfwuk95773vfxpVcOIFxLU1eXHG1u6Zdr2lZlzuVpWWiHyPmMzGH0XXyMWyA6qLoVHyrAjau9VO2uBlBXRSy1FfEECysKvvqq58Bro7j9N1dkdZGsJV03TeQFqrrqNJhxitwUDie0u7/gRTLcomO52F6A9M8rshv8Uo81NtfJv4J8K5r6b9qdy3F4yoWjcXWNe+RcUWBD8ewsD2xvxHind7ZrPhrwsZrl2NxNE3iRfqMvZGXcvPe8smKXkZq0hHdNU4e4aN5Rc9fch4vLbUD3R2GUhR/FQfpNhUKttXl8ZgrcT27+08ZD74kq0A3iNpjH2SoiU5FYvIuxeDHeqwFUJFCRQFkCFRl6dyvODC1LoAD5DOQuRe6dSL8Vkpg5ByN92XIYXXG+fe1IqR0pGOkxIW7/1Myb4C1KvkXJogFtS+wa4jCtTs6tYVodHSnTE21+bmL0xEg/OtVmp/r9qfFwZmKz+f7U+HhmjRWuS7tInxiy1O+F9D0ijhvZTUVhfqTdv07NF1WAH75Pe7PuXaSfv0qPj/VhWr1/fTRMq4OU0jXEa4u6kPgfObJ0hPrf63VTqZsajnZgU962ROwSqZpySUNepH8PqTyiC5DO88ks4jHSF0QhB7ksYPO4KALwOchlEJMV6bxMF2W+oghVGbpTXlPAY38O2iyeDlorG8DdHpiCd4UVpK5+TWfUys5/4QG6/pmVN71I71h7T1jn63j/jEKwmnngXn1h0zc0tK52uLf0vArvHNk6/whgsEGvC64N55C1WU5Gt/esrKvCkgPLM2ve+NzyA7JQU1BdFRua1NTlisRWJLamOAY6Zmld/F/wGuUOd5squuZCRYZlCWCpyrAqw8qarNzMIqX0kQ9gg0WycDl4l/eKz2CFasarUuAXWCkpq+BW4ooiW5Z5rLA+aiTj9o5bTr3gFW+jZK+sr0/vClwh8PG+46K+81OPdQKvG2CjKekdsUf5VjK3Ucoyi6d4ITyWhoY2Nt15iod/kefluEBczdWl2XHx3ov0GzbvYxeX60hwGYLdBdnAFQpYkdV5zJPj6knuLn60EXTgfainZamvrCDuSkuwlyhbCxVh8zr5EqS3Dc844wovifUifU3ZsAucCcXV8zKsKqisoooGSxpwG6XeSkIeMFnAXkL6PaR+Eoi3Io3T8Vykx8njuL0NFpxwVjel3pl1eyS9E8mfIXGjCRjpBylldGoMT/TJiTY91V2kn53qd2f69FR/ODM/nJr3p8b0VMdV6/fH+kQWujRRI2Kd+GGXTgxZcpZkszzzO9j08cMeEe/TyTHk5in1l9fph9ep6amOu9rg2n+v9/7uPHX/+mhyYgxSyuzM6ltyz5TaGry16EuR+5Eji2nY+V6rm0rNUBtp5Smkv9EgRvo3kHwvkHlA3QjUNesgfQZyWcTnIHcF2CziM5DLQyGP+KzIZkX6WmKLMo9zKVfosjGZdllmn9qx625Vd314e2g67lYNusc99hm459F6QP1LZOWA8wYmX/hdV0PH3vtlqrO2WbyIvjw1NPCU936j5v7MEeCNgzwymDyI5ZWKwlQUpqay2Ahzfbz26kEG8AM+NtlfMMULhF5isCJVFaki8TjBE5Mu34gsZmZc+nIWiwF/y4X2kiiURKG8sBvc971SlEFRBhUZelnkvED71Dm1/td11XNFVjQb93IVRShJXEniMKW0ewmvyts0paYGGqrgEQ7LCvC7sqLAubPsnuDuCnRm33x0uGO8bxngsa3paNttS/G0xAXekx1v8xXlaf2dp6QqCw7YPx7G30R6N1jjfcaGARd12zxWQF1ZfweLUxCRknDAxTt0y+IFVcAw39aWitcyroF/RxNxd+nF9nHGwZ1rL4P42r5YPgWu4H9EnIxl1ZaQfkOeWCef6r1fva4nJuLJPlmyLz+18RuaVF9s+bKKiiq80eC1Cm4VcKuAa4nPAyYn0FlAXwDqrZB8K9JXKr+O9K640XqM9Ddp8Z1IvkXJWx24SD880Ycn+uhUmznFdcb8RL8/Nebnxv0r6+Or1Mcz6/7UwGl6s1N9llKmEt+jlkg/4qhZks1w9O9g08djPSLeJRMDjrqT4S/HxodzC9/oM0g/PtZ7pjQ9Nd32LSWLuRS5n3jq2uSbZxJG+uaRutF7X9bFGw1eqQ7SXwjkNU/esslbmsgjPrtA+owH6XNLYQoidysJZRXVNcULzJ4tzT21YxcKwQZ58nRwls5q+PzzsHxF1j/5DHA+j6wurFb0pQfysUGzFG+K1hKVN4USVtzFzzgbvHu15amTXt6Mwq2Yqq54KFQ5l1ylpvD4r1iHK0lMWWaLCltUvJSrq3O9jp01DS5zcR1zXKzIYllCLn7jxlZ5wBRErqiunfvLLy5BHVsMXivflbLqSEmBJQWWVbTRCl9H6I2W+kYceup9r1m//smVjtDPupMAACAASURBVBKulvxUHuJT62EN8JxZXnGDu1JZ9J5e1s07C0laNpD0ujSWiRH8Rtxad2O8XJ5RmJ7WGgUX6b3AvCKev/I1jatpnKsKLBSCDRoSLp50Ems86jVmuV/mJVhL8Tp+VpSe50+zxfG4cGLpjiyDPhvm/Qn/6CPZvE4+26Zf0QkaBvREVTYs8jXPGaotNmxJgU6dtgqvEZeTuKzI5gT6mqeveTojUO8A+TOisE2/zL23pHpKrqZllxLGycuzpM6ZmTOEtyjpjdP3LXl0agyONYz0d2fG/ET3Iv2Hc+vhxJif6PNz8/6VNT/SphqaQK5HEU0i3k3EunRsxFEzkv5dkL6fiPeTiU4y3knGxww1l+GHtHZ/atydGQ+e2n9vRt7deWqYVnumND9LDS1lYModFWKkfyPQGY2pHIOa9STS1yylYkjXC6T/GZJXPHnNJst0skwSBchnAZuDXE4UMNJj730WsK7gKH5RRmVV8kZD18+y589K797AHF7Yt1P2tOda6o/qoxj5b7qzPltWYnhPheQ3Rvu8BCbPy0pE8KmTy3uEeW2aZRae8ajwwXtXTuB5tXP5E+evIVZ1hPGg7D1klSVGVlWAPZwlifGEVDcbtSsT7VJn1DUJS02Vq4pUUmBRBjcij2E+C+iCyN0qXi8RvwLq61LXpI0wvyLrRvlvGKDeR1iMTHkRa3wG4aqLNezqqXhHuF8vv0BXWAz+5vWzMXMNZwM8v95Wbruhy3VNWteW8POuy3KHrq8Tj2yeqU0/+GKwX33wxfJe/czGYL/7zqqrw5vUudK7a5GD6Yar3bO0YYgrC8B10jwVj1hBei+BMZanD4rFt7Az7Mm1unmRNDYWvHgPlmdLVLwD5ZgKnjaJG2fKjbI5m1ECRcTfQgFLHnBXgL2CdIGnixxZYukCT18Aah3psbhOe+yZxr3Xm0fqpcK8AYn3ElW2xFZKcpG+l1YmJw7Su0by/NyYnerzE31+pGHsvz/W57o0E4UxYAckaScTXeKwQx0OWXJG0nnud/De9xPxLpnoUUQ/mRgRiTFFTkVhbIiTY9WNNKwg/eTE6JlS35Duz9MY6bsaKhlURuR/BsyFTJbSfD2ler33G5H+UuEw0mc48oYhyiRRSxK3UMBZeLgEwkF9z4sc5PKAywOuAPkbERQRX0R8SXQ8eJ+k4FcXRflFmfdGcfA5smoaqvAlts6nylPIvV4Gtn5172dwVBLvXpyB5WxUXfCKu7FvZQYbx65gNlNXVqjLH2Un6WgRm0fLbOrHKVHO/Ui4M+lSq3gKBcu6iJtGuyxJRRngFpMVTazquHwDuXve2yvFq7EVF0obFjy5twvftQv5rg//RoYFUfBqk1iJxF7QosjiBbZcZgtrfsWZ7/3YjfhIbiXhVhKKMihL4DdNrqccTrcKfyNztxJ3I7JY8B2ueJ7ck73oXkjiKxKP/bo4NoG/fitxXmd+UeadAV+KWFJE72B6xdt5dtF/9pFXZu0dxm17U1IEPL83MsQvXMH+D+xuLWloRYoqvJE5PA6uFEW2KLI4mLIuK5EUvB6KMl9WgedZntMRvXbw0ofvkvi6ORmLuVv8Du/pzPuk/8lzodXRw1LEE60IRVW4VZy1VBIFd5oWoSiEs09WEtG9bhKP8O72dK+4sv1LKoePhcU4C8/Lyr5zpb6phPWRNvBsjatXU/SMpBOnKMt8WeRwAG4lwcVZMwosIv6G5wosU2DoAkPnOSYjMJeAKghklaWqNHnNUlf80qbPyXzJdAro6ym5bC2i9RqsGSJG+mpavpDpn4T4O5FcQfpBSpl40vFwf7jZuY6b2uFQ/V1anahwArkZy4w4dkCSLZLoJWMd6nDAJn4vpO8cHnTJxJClxhQ5iSdG8XiPSXYgM0rLOJvArbKb4gZ8Z9boSOvoqKeLGOl7uthTYVEnMyL/FrLvpWQxxTXSWlV3SIWqOsJI30wpzZSCkT6vARfpr9jkDZWokESdIG6hUODZPFhm5OUglxNYTJx3LYFrCApAyAt8TmCzgL0WmBvA3gC2iHhvgOp5Dd1dKzcie42Ya8QUREfwIegcB/ISS6ryk3nRL5GXF167n/d4sJfXXc858vrkndNBWZ4v1zLtlYJEYbmW6RuFwbL+zrrcysyNRBdFGqPLclMpzFLW70dksMvdBfs8YjdKVmSzIptBTA4ymAg5j9iCyF1LPJYFWjt51JsRUQLrSI+x7RYxN5C+gfQ1oK4FpsDTWFzXkatHXiPhVoIYPzDS30IOfyXPUQWevhYYd9VhuRaYAs9iyQkrQucBU4DsNeJuJcFdou4LVzByewXfwC1ibhGTR3QOUjlI5QTSlWtAOTgncd61Wl4oN/goLCEWP3sB0teIyQPnR/KAwu/fQNqjlECvrCCxK9iz4hUv6ruhluXUK0xVYSoKV5b5ogxuZOFaAgVRWPSyYrxSgBtWCF4YeJNeS862vUZMAU+rwKzPyw1gbwB/A/gbwBYgW4DLze4qTHizr58YK+rXirG+rNHwBIBKolDy6JQrUXPvpK+8j3+/onAliSmK9A0kr0ESC56mPKILIocHIQ+Ya4EriFxBdIauwDuO6GueLiG2hFiMf04OyqI6yZOdLrjZbUuVYqHx36qO3CjMtUxfS2xBZJzLPS1Yl12X2qY0yUeqzxOplO4nFxoPPnyYssyWJA5vilvE3AIaP6/T+1h2UjEw09qNyN8A9ppjr1nmlmGKNJNjmSuevgTUNU/WGKpBkTc0ecklf0bUlcrnVCEn80VDxDBfs6Sy5TRtwUhfNUXcsf5Cpn/kY29RctV7n1LcsrVFpxhjeqZNzq35q/Qvr49/OT+amWofcEOKmhHUkGUGJNmmkr1krEXt9Zn4jKQL/Aty7//0pz/9+c9/9vv9sixrmiZJKJUyIRQc5hwy4UX6AZEYJuIDkujTyT6dHJHJEZkcUskeRfQ5aiTyU0OaH2kPZ6bryR+d64NjZWCJY0McK6DPUT0mORHYtwp9qTCXiMzKTOVIrp2ouCahpKFKSqqm5ZKJSimxfqrUTuSiBS5VPqMJl7JwAZgLlsiyiVs2WWKJGyAUEMgjtsAlSxRRo8kKQxYYIot4HLDPQC6DmAxisiKbk7j3EvNOpN9D6gJQV5DOI/YacdeIw593JQO5S4F5z1EFjsoDJiuyGURlAVmAdEFksiKdA6CAQAGBHFiEDyCTEagbGd4qqKQsAr3Y6NdhxQRlQ3DNXzfQ9ZT/ALsKHgUIVh2Jokfksorw64UpI9zIQkER8Itric+JgjsgV4DNCExGYLKAvVrIJcTCbZQc4HOAz0MhD4Uc4DOQv4Tce8BmJJARhYwoXCE+A5dyKTA4UxKnUHgH1itZxON5cXIqRcG9T/zPC8ReIPYKcRnR+QXc5gC/xp93v3IF2CwSFvfguN3w7F9B+pEsnjorcFeAdVdIHrEFyBeAkAccLqq5QOwVYPOAuwF8AfJvJPoC0VlA5yCDuy5lRDYHGXc5OYoI4q8k/lIW3FvNiGxGXFwIOHf1aBwQj9WI1fFxRMhA/gpwV4DLQD6LhJwIsLiPnEUClgzkHU3o8Y/nRAHPI/78FeKvEH+J+Au4aB6xGE8sGZHPSkJOFPKIx46xpQgOSxVeEnhV5AB/BckrSF8C6hJQGYHKAjxWzu/nPdO3uDfnkbGWhk3wG4XB8ZEF3ArXSHDmBX/dE5hzHk0GWUnIiDxeKliuEHctgbxn1WWR86cbEWDfzOJNZ3acNbAARZyEhScrJ3F4pV0KzAVPXwpMxtkdeOPQV4i5QkxGZDMin5f5vMwXFKGgCAWFw5KXHQ3VEc9+xDP7csFVxN7zDQvut4bFu5AuEHsJ2StIXwtMkaWrJNUkCDuWaCYObOLQTsZaZLzFEC2GsOlEg453GarNUjZPNyFThfQtYgqQzkFqscJ59/fxPvKuAa/gNZaBPP6Ye2+XojNuePwxnfk1EnKicKugmirXFbmqSEUZFWSY19C1gm5dcTVLBRVlhBXBgsgsNBsOr5MM5K4QdwnZK8DmeO6G5285vsHwVZKqErEacdAgY00mUWOTVZaykzH7YM+OH9SIg1YyNk4k+rHDJhXvxZPdOGUTVJVmyyxXZOk8ncySsTeIeCuRlwqT1/hbE5ZSYiUl1VKoaSgNS62n9HpKr1haOaWUUmIpBTFHHu5wU1K5tgYnR/r02Bil1GFaHh+r81fW/F/T01fm6FQbn2mjc312Ztwf6x90+U7ghklimIgPE/ERRUzIZJdMDhPxHkOMOGpGUzlIcUmKpZkkRdAsJUlIU2UX6SGEj5BeURRVVUURmqb+FNLj6w1IYsCQY4aa0NSETA6IBK6wHzPUGLATxM9UdG8pH9Lah7T28cyaH2kTFfYEuk0lWslYKxlrk/E8n8zzyRxHFCBdtsT6sYqL6eumZKfVZkop6/BGE4oGvDH4vMpcKtyVyv+/nL1Zc9xIli5Yy0s/dVv3S5vdTpGBzeGA79gRQWqrmvs+djNFMvZ930hqo0RKlDKzetrmYf7yPByEBxik6lbftGNpQSgCcLgfP993FnfvSL9F3abndD176FkjbA1ct49R17MHyJhZxtq2Fo4zRnYfoz5GPdfpuU7PtfrY7mN74DljZA+Q1XetDrZa1GkIVBfoXKLddMVthkE/WtRt+E6foAHHPel1uNtmqMNQm6E2Qy2Kd+LufoJa1GlRt02dLnfBXsCEHwRkFPChYtqGjiQdSTpWrC/dH4jXl95De0GGASlu+AOBL8BveyACd7nb4S68lJYWdUH0lSZz/460KG6Twh61mdeiuElxneEW89rcb3MfLpa7pXzzvyNgH6FXy5/hzyZzGxSB6DZ36IP2w4cmQU2Cyk9v0f2tDkR/oUVxk7ktjhoCtThqcdRmuE1wl7gt6taZW2dum7ja524Ru4/tMbJH2Bn6qE/QwHNG2Ol69gB4Ibb72O74qENxh3uaQu1ujlrUaVNHa0up5e6BPOyoB937JBsrkJt5LYp3b/q4w/ffbzGvuRvHH40OIESbuHBuZJe4O5LkaVYHDy2ey+1yPxdMqwQ5j0a/mGsAljtOtqcLZcoIHzq0aI/upbJuN5kL7LDgiBSXvwnPajL3IbvFbYba1GkRu0Wd9o4OwpXm7iL0Z3m82gw3KUwcp8mcYoiF2xZeWZ+1PLpSajZxQR5Ooh8y78dKAu8LPaNfWUuTuWCaer4zwPbYseaWsTSNpXmsZW4dz63jmX08tY5Glf8YGz+N7MrYNYee1Sd2h4EURPmRJcFPSvOhQdBtLtuWDvc6fMdIqNNhqM/cPkE93+kSp81QR2KgYpokFSZOYHAVOtxtc7sYBeq26H6gQdrE7fq45+E2cdue1UHHPefZwP6PoXM0dI569vEEVSaVn2b28dA5mjrHl5axNI4mqLKyzIVlT5A9wu7Qxz3f6WCrhY4vuNOQLiD9OKGzlK8yuU7h0Ba1TNU8U/NMLfJgUVPLE9lTbp0YbWpNBd5Q9I7gW05vOHkfso8xu6sGehf5u9Poy/Po/jS+idg733nvmDeW+dE0bizzFjka6T9Wjt87xg227xz7H0X6P/7xj//6r/8ax3EQBFLyOA6FYD9Ceqi9/4Csz67z1UVfHefOsW8c684wb03zs2XeWOYnZH/2XZAr4wjy+m+tyjvb+ETczxRf2ZWVZU4qR0PreOI7c+WvErFN5Tpk14m6StU2FouAjAUeCneg8EChXuB3ldcWXoOiYqb5qO1ZPdvqOEbbrvSto5lZWZrW1Lb6jjmwrJ0YIEPbHNrm1DQnljm0zS4yG751zuxfhP2ztC8o0gL2HU7TaTGrzVCLozp3LljxtXPi1Bk+J+jMty8oanDclG6dOw1qv/GNM2LWidWgNhgduFuDkxYjLUaa1G8Qr0G8JvVbjNS587T4qEHcJsUt5pXlEQY7IPArsDUtjrTdgZYAUh68XfnP/UVmPy07uNX3OWfonKE6cRoUNZlbZy6cNHhOHN1L5T/hSrmfLyg6p5YW/awHVyg6J86Zb2vRt/2BoP1Dmf3D7t29MrzFOUNvuH3O7HNW/LxJine8oKhJUNtzOthpe87QNieWOa0YM8OcWOZo9ydo18Ay+malbR23bbOF7SYpuuucOOUXbFC7IRC05KCvHndaufce9+eTF8/8Ujc+uu2T/fbkg7TAKIPAWD/QBOLoMbpgZvk1d/rptjgG0nbwUloVoQ2HOnbQNmYffGF/H+LUD3qGoXNWNFjDv57X5Ts3KGr4VgubLWxCpzWo3aB2nVhnxDwjJozdQX8+eNaPdfhAHk+rcvvrD7u68XB6luWgE+oMgxx0S2nUnAa1G77V8My2a3aROUDWAFkjZAzs44F5NKw8G1aeDcyjvnXUMZ+1rWcd+6iDjlvIaHhmw7fqxNoZE7tB7YtHQ/AjeVLTytO5/OU3xLzwzbpn1rHRdI06Nuqk6DSwwNAGMHHFN4l1wexzZp9R64xaZ9Q5o04ddJIWUuiwj+qe08J2xzG61tHA/GlcORpXjsaVStM3Oui465l1v9JCx0PruG88a7uVvmd2sNX0rYbvNMCkEOvCr5wzu84dOLJ2mjBYTXeZqWXGVjnfrbUL9Iq7nkAd3+y7xhLZ75FzY9mfDOuDYb713Rvpf03ktyy4TxXIXSq+CPIBWXCe3K1tfbbMj6bxybY+I+vWtt5a5sfK8Tu78t9AesjT/9u//VuSJDpPLyX/+0j/zjY+2dadZd1Z1q1tfUL2F9P6YhZ/3jn2Z6fYZufOscHvvz5+tjWevfOddxTNzJ8uLWt09FPfeDbA5tCzJr6zoO7Us+cEzQmaEjShqE/sLrF6Ag0UHoReV3lN5tZ9dE4KeeNZPddqu2bTNbqOMTaNqWkOLKNtmx27AtKzjZ5t9B2z75g924D53PYsYOsgDWpfcHzO3HPmXlD3grrw+Yyic2qcU6NOrHNqveHoDUdvmHtGUV3gc4bOqHPB3bpAF9zZ6Zl1znaYwdCZcN8w92finBF8Tj2QN777xnfhyi/MeVLOKPrfidZj64xav7Dyo/fyhhRSaHyBakgj3P+ZXHAXeqPh7y2s/ld40Bl14NEH10tSTM43xHzc8kJKNqL0yo4eIBD487yE3HD/C+48Fj06JZhHbzj6he3vf8HsM+r8wpxzhpoEtbANMrSMsWmMK5XJcWVcKWR0fDwwKwOz0jcrHfO4ZR03kFn37PqDNu8H6II7dYFALrhzwd2/39vlF9d9CN374y9bJdn/tqRgeyN4TpzHPfD4iRfcBXnD9036mdpa/hexzphRfrSeC/CO0Gb4MjQDHgpyztwLji84rgsP5ILj8hu9IabWZN3gX5jzMy00XPeAvqeGwAb3GtzT07ysinXiaPx7Q0zdbJhWIA9f6vGgWGfUOuemVjn9w50U7XzYLbYenR+yrn9oPrpvHomeEWDQ6txpMqdOrAtsXGCj4ZktYreI3fasFjJa5lGr8qxtHHXsSgsZTddoUwdsY51YD2dfeWT/AUNBD0ekGD7ivCHOGUW/UPQLRbrZ0NUNujfOYHvhiWfU+sU3zqh1wZ1zav2Mj8/Q8blnnBFzN1iFUsFPCovNkdbY/8XRLwKdM7tB7RYxm77V9qyOjy6YXffMNkNn1LrARteqtCrPLtwKkLYzar3h9htunwlHD9wFs1sc9ZU/CehuZzYyj/A8wrAmYh0yvR9D3zN7qDIwj9ameeM4t5bz8dh4W6lsjp69s42Prv0BWe8dEz5c28efKpU7y7pH6DvGX10EGPrRND4j686y3lrmh+Ojd3blo2v995AeKvKiKIqi4Emf/t60PnoO1N6/NyvvHfOTbX02jJvj44/g5RuVj6bx0TY/uw548zc++oDtG8f6aJvvbOOda33g+HMiPmbiMvBWHupaRw37WQcbHftoYB5NrAowyr511HcqA2x2PbPtGW1q9ZQ7CL2OxA2KznznnKBz5p5xfCbcDrObzGkSu4OtkWONHauHzKZvNTwTBHC949sgMA8bAoJsbmeXwT0ThRUrvFvu1gU+l/gNN8+pUffMBrXPhHum8LnwGtyrCwyWuiHduth5/Dsj3pDuuUTnEl8o71xi0DNtKzW0nIkfmvgz4ZwJ5w23tbEAVdtP5r0S22XRP9xp5AP7XlZ9EG2+d4KflHOJz4SrRRvulo/Ac60ztyG9hvSAA9UFhu9AT8I/PRS36LpyN+4+7/+VPRiRC140oC7wgeg7766gshyA6x66HgU2ChHoDbd/EfYFdxsUNbBdd60GtrvI7CKzh8yebQwsY2gZfbPStSo92+ghE7JCbc9qElRnbl1g6OQy7TiX6Fyig+Y9fgv9IuXRKcMt9H9T+Q/fGj/5+vr6ucTncv+1pvBAyiP7WMpD/yN5I9030r0Q1lPsygX9AWzWSP8zd37m1l45mXvG8bnwzoXXFD5g894Lp9Y5tR5QBFHIz9yB2VS05O+p926ai2Ju1gVuMrdF7K5nD/Ceh8EwwWw6E/t30f2pif4Fdy+4cyGsurTr0m5It6lw/QGTc/bPlXZd2geaWf7CPyz7n5wJ94zjQh5OUi2QnGpQG5C+Tqw6dy6402RuA9tt22ybRscyO9hp+ahBUb3gxHtmv+vbB6bmf6shDY7rApfHBe4G10HhL1Qh54F3ody6KFJpRaJtF0+tFxzdvuAOlFtd+GYdGw3PbBK7zh19z7rAehCLO8tC8y+k35BeU/kthVsKN2RhtRoUNT2nw706c+uePbCsbqXSdu0L7mgdKM/cc4bOidNkbgcqJIjTwVYf2wP/eOgfT4g1860ZNifInCBzhu2O+axnPusbzxa2+cFzP/nee4yuPfTBsm5RkQe/ta1b5Hx27PfW8aej46+O8x3jO8f+ZBq3tvUFOV9dBEj/3jQ/HB+9tY7/G0gP//37v/97EARxHINP/zhPD0j/ybZgj7yPrn3nolvbujEqHyzjo+d84Pgjwzfc+yzJXcBuQ/Y54rex+BqJ+1jeRfw2Fven8eeT8DImc4VmAWkx65wabW4PPWtqGzPHnGBrQqwJRRPuQui+J1BXoq5ye4Hf4gjcRwCVeuDXI68YLYE6FA9dNEZ2z3fawmkp1BB2Q9gtjjoSd5XXV35Pel2Be9LrBX4v8NuB1w68VuC1Ag+sXnsnUE7VCkhd2k1it7DZInZdoPPAayq/K/ymLEoHusrrSAyZpA53W9SBx7UUhu+0A6+lcNEYhUAayimE4yelGRTfKUzDTp7Ey4Z0m7sPWsBOaSdMcwtQ2bKtaQjUEKgp3aZ0tTt1IGUsaUivAVkJ4nSw0/FRi7pN4TWV3wpIU/lN4RVECnpGeSUhXUWeuu7te/LhnzAnSzPTbUi3KbyW9EHaimjphD6I7nl4r6Z09zcRqOhk4bU4KlLRIMJrC68p3abC5xK9kc4Fd/ZI7zsNWsSlW8TuuVYPmV1kArp3idPlblfgjsRN5dcDvx740F1NuGdpmHRjoJ3twCteIfCKkpTSK7QUbivSkr4GZpAGf6K74Ir+XBK/s+sx6LRuScrd9VCRPE0RNHg0+JPUzasHfkPYjYcaBb2tWYumuTunHCjs3uuCCM2T4ej6A4Jb6PMb6Z4prA26ZktFF5WaB1fg3TsBhQneVqQj/T5zhz4auoW50GahqXAhpSErlEoPRDGyDkzt3QjiTojbgdsO3PIQdyTaSTEuMFP0uByM7w/tA3RsqW9/JPr7HYnbDDU8s+6ZTVYAYVt4LR91HKtnWwPk9Hy3xYELPiCIeuI/YpAImvqjp2uNulDuhfIa0mtJH1SxUDxFQLdhOHqBD+2Eog1IzxfWFbor8GBzOqig7Phmmzod7nbF/p5d5e37PPBaAdECZ5qPJB1I2hekJwk0pklQBztd5jU4bhN3jNDQtAYeMBJUFzuLvZsUBc+jqMVxh7tQ0tGjqO8e99HRwH42so9G5k9D4z8mVmXuOV3rqGMf9V1jRt23itxE4lOqPiTyLbI/es4Ndm4c6xOy7zz3k4feIePGMj879o1jvTOO31aObizzzrHvLOvOse4s64NllaP3PWr/oz798fFxEARpmgaBTJIIkN7CNiD9SNLHSH+L0Z1jf7KtzxTfx/L+Zfr9Rfrry+z3lzns1nv/Mv3+Ov/1Zfb76+qnVFyH/uda8PkkvEzpdc7HCW2F7pmwuhLNGV5iZ+Y7s4BsU77JxSqTs5SPEzqI/G7ktQO3pTAkNVscN4XXVLgRus0INxWuB7ip/D7zhi4aO9aQ2P0AdULcVW5bOB2J+sofhnQY0lFIR9KHovRhQPrK7wV+J/S7EQHtGexK3nrS6yoPrG2XOH3XGnhOV3mdiAxjNov4KCbTjM9SPo7IJKBQ8T7guE/QWJFxxIaBB6GIYeQPA28QFjKM/EHk90OvF+Cu2s/wAwGYPEBBjZ2PpSf3uNjeGSltqXV8+Ew4F8qtB4XBOrhDT+4B6UA6OxukQaLDvTZxu7bVx6jPvK7YQ0gnoH3pDQMyCuk4YrqQ8KCucPcFMonpJOaw/eQ4YuOI6T+HMRtEtB8S3Q/A0qC1feUPAjIIyDCk8GEQUfg+CJR3wK/KV0q2xutI3BV+sYJAFmS/E+K6BK/FaRJUd60LbDUoOmdF1ARWe/aQ2XOtjm+3qNPhrgYJjfQt6XcV6QW0r/y+KnhhS+F+gPsB1u3XAldAXcsyiHgvoN2H8NyRPvQz9Bh0Gsgo9EehPwKdD+m+ljNgT8o4YtCHuoUthZs7hgFaBNyoLTywqiCaHBejz+2i+mynq1ChVkYviNDsQhSFo9wQ6HGpx86hR+cEXVC3znA5nlGEjpTXCEk9IhfKg2BPS/q9gPYC2pMEEFrzP1CefkiGig0C1gtoP2SDgI2kP/RR3zEHHPelB4qktagfkl6AewEuT8N+SIYxG0ViFLFhSIeRP4pJIRGbxP4k9seRN46IHohxxPoSCo/wMPDKlbbdkHUCWvCPEt7rfj4QjXxlugBwrqVMTVoKdZXbYajt7wBC/gAAIABJREFUWQ3PbFGnKbxziSEz1bOtkWVPXHfI/I706zsvCNiJbk+D452vcmg9QBsPVKIt9rrUCrxO6PdDBlX0ZWsAUwM0fxTSgfKLlXgBBcUeRWwRCdihdpKIccwHyh8yPKa4w+wud3vSg1nWCyiYcRi10sxiw5APQ96LKXR1O6SdiLVi1oxoIyQd7nWJ25OkqfwO98YeHtp2x0ctvqNi4KHtkP5MuEBM95NCeaOITSSZcHdG3QV1ZtgcO8dj15wS1PfMtmf0lDuJ6SoiHzL15TS9O0neh+xTzO8S+TWRXxN5n6ovqfqc8jtBbrl/w71PFN/46MaxPlUqn48rd471xbY/WNanSuW9Y3zG9hfb7pN/AOn/9Kc//fnPf0YIhWGYZZlSIssSIRiynSeR/r1Z+WAZ7x3zo13k7D8z79dqdPsy+QrQvtsT9+55fPcq/VBT317nHzJxqfDtaXR7GsHRC4PQawbojBltai0ZXrj2yLcnKdueqO2JWlbFJGUA863QLYJm3Kkzty0KF7ku7YvAAqbWVmRAvbHtjE1j5BnjwO0ptyOcNrXa1OozFwB+IonWMFh7ppcFD2M2jovNEyaSDIUHc2kQ0THFU4xm1J3EdFwVy5PgbS1a5+ryJNrWQtgA4DJT60hOmDfj/ioUq0TMIjpW3iTE08ibhR7s9DJNCpnEfBjSvvJ/xIWhzLgvyFCxoWIFA+V+T6CdPFiuA8WoXYEB1TqhXzglwmvwPdJDyWgr2KGm3AsgQUfZT0pPFujSD4tFL7CBQduo9JEzZH5PknbhZfr9kM1DvozlOg3WabCMJezzqpcC7reBi+UqEZusOOB5nUr4DH9uMjWrBpNMDmMGCF2Yg4iViAIrI9wDdNxhJ1C9UcTAKPeV31e0r+ggYIV/oEhX0o4gLemDD9cJcUM5F9ypc6dJbED6C4rOqPUzt37m1jm1WsiAoH3bs6DouhwShHHsKgIP0katK3BbFCssfrSAQr+XllEkhiGHtWTQeJBim+c0uKzGl9V4m0ebLFynRe/B51WilrGEbp9FEmQeq2lJYBuiUUgh9NWRRSwE4EcT0K4iA0n3OqloTxJY3gYfystGtAXXnpOGgYauVBWoAGOJ28KFSqsm24eFzxk6owhyumcEN0pVdRcU1QVuBaQdUkD6c4bqzO0qMgiKFta5A6G1giAGPhDEiWQjSQEARpEYKzL0nK5VGXFvLPzRQy0ahRRoel/5UELfFXgUsVmm1rV0fRLD8WXLqtpJuMzIMiOwtnYes3nMCgugfFg6Cwtll7EEGUS8H7J+yIDPQUe1OIZefSx6fU1X4K5EWsozuuwnANJ3udvBVgubbeq0wCy4ZsM2eoYxNq2ZiyeM9AJaj0jZbWgHXkkB3K5yn7AeARsEDHRSq0RX+G3hwLxoB14/JONQzEO5ChXsVFPe/6q4sltaXJiFWggbz11Xw3W6Py8OjjcbE6crUeEIBbRTQvpi+HZkYhLwaSimodCOx0hSuAi7XvZD1uN+P2T1iDSkN/Dctm3WPbvNtH9VIP2Fcs8lbgT0TLhQxwM535b0+7FY5/EmCy8zdZ2KdeCPfXOAzSGxO8xuULMTe8OMTUJ8lfCvJ8mXPLrK5YfT4MuLpDgJ9kVy+zK5fRn/1+uT307T307T/3yefY/kZ9f5bBjfbQeQ/qNt/58g/R/+8AfXddM0DcMwCCTsnIMQMrHtIwui998s+71rfbKtrfHso2ncmuaNUXlnGx84vk3l15MI0P3L8/jry/T+Vfb1ZQofbk+jm9Pw40nwNuYfEvnlNH1fDdYxHSW0E+JzbjaoOeLuzHdmjrn18WUi32Xhh0xdhXQp8RQWK/uozVBL4fPAfSOdM7ErNVe4BYpInbZrjhxrjOwJxctYLhI5jwWsJp9Fch7KWSCWcTBN5SxTM1j/kAerLIBFEZOUTTMOuxwscrlMxTxms4j2Q9aibpe7Y+HDPhvLWG6ycB5S2OX48iTa5sE65utUzjOxydRVLSo2ak34IuHFRolpsM7DbS3eVKNVFkwTMQwIrO8H5wlyEHDmcVd5g4CMYz5N5TSVQGMniZhlapKIsoxjrsMV44iNYz6K2CCiOjcBedwL7kKKCwxfR2LY9kHjXyEJn6TsSemHZBAVk2cU0lHE+iHpSNx2zY5v9wRuB14j9OoB7odkFvFpImapXOTBOg/XeVg++EHvMgGbSS1TsUj4PGbLVGyqAfAnvecUvPJwh0CA2eOYw2/nmZjlYrqTWS6mGd9LKssySQTECQocTcQ0lcNM9GKqHb59NJXbDWE3lNMM0AUzz91KA5kd7LyR7htu14nVwVbfMbuO0cJmk1nwK23U2qHfiUg3phD/6Ct/EvNFIvUWCEAQlzFfJBLW5IBCLvJgnqlZKjUpBNlfSeUkEUB92sKdhgS6Do7H1l1X7t5VJtd5uKlGm2oEw/FY4KGTmA8CouNDHYkbOksVkUFEh3HRbwfN040EDQQZxxz+HIZ0GDM9iIDokHbVal88Dpx7+D93WhztmIF3RtH/8u2fifMLcy54KeAkPM3Pim3LQjLcUaV5VYJMMz5JiybBVJqlUqvoMlWTgA6FV0Jfvk7lNg/WuVqmAuJ2s4gPA9KT3jCk41RN83CeqVUW6Cpr6PB1Klc5L2R/6kmwygLYDv2yGl5Ww001WNWC1Wm4fh5NczWMGcSuOhLrRTQaSgvN3/FamLnj+MGEHSd0nIrJTkkKhQ/4ULF2hHrKmVA0dZ2hbbaQ9TNx/m/pdh1jYBkj2xwgq8NQcQxryEcRA0o9TsUo4WCLJomYRYXGThMxjhhgqh5oUJ5ic4Ii8O7DcJfL1AHCy9N8Uw1AtrVQGwTQbei9WVUuampbCzeJGBNniCsTYk2oDXvX9KQ3DMgk5jCmk53lnGXFardlWgzTohqCSYE275WhGqwkW57G46oax7znO0vTGrr2IOKjSPQEbhEb1vs1Fb5Qbld5RfUAVFowuyPRKKHDTCzyYHUajk/4OPKWxFn59pQ5rYCcM7su7UlKVhF5G/MvL7LPJ/HbTH55kfz6l+q358l9LfrtNP39Zf7by/TXv9a+/8+T29fp5xfxt1fZXcA+WMadZd3a5p2LPpv228rR+6P/8dap/OaQPsHUNrFtIGQjhAKpQhWEYajCIIoipVQRvf/zn//seR7U3kdRkCSREAwhZLgWQdZfjEoZ6a/N40/I/uzYHyzjhrj3eQjhetgEFzbMuT0Jb3J5exLCNv33L9Mvr7Ob0/jueXr/qvouV8vQn6SsE+I6t5rM6hN7hIyhdTy1jYnvTHxn5jtj3xx6Vtcz29RpM9yTXif02+CqqsJzhXxML/A73O251sixJq4zF2RTja5O020tBiu2rcUAsZtqtMiDZTVcVsNVLQKB78xSPkv5NGHThM1SPs+KIwrGqRoERVi+4xhdZE65v4nVOpWbarCsqm0t3ObBJhHrVM7SwjrMQ7pIuFbfRcI3WbjJAPOCaSJGIR3s0gfllBK81yCiexXM1F5rd2AAeFAWUPF5pqapBBiG/imSrFBTyuyGQB2JC2sYs0ki4Fez3SPKxzGVZVENl7VoUQ0BcgBs+iHp0WLZa1fgbkS6Me2HZCR9CCnPUrnKgnUe6mmskf4A7zVcwUXNtMB8aJgfRQy6ZRGxecxmKZ9mfJYLEE3UtMBYL6vhfNdjerXrIg/meTBIeSf0m7KINuvygrYoqj3agdvidh0bTcfsuU6duQ1qd3y771o92+g6Rse3OxKBXdM5F532hpqPYUhnqVznoXayS53wAHGhtYvSQIMsU7XIg1UtWp/Ey1o0TeUwpB2JRxIXG74GvqaV+lgtAB5Y47sDpL3AE2FezDMFalnOMmjisofPmGsDClMJVFFPK62uWmnhg0aCcsxAl4lopC/SzzsUbwu3SKMK74LjXyj6mThn1GkIBEag5LMW3ic0FRBoBJtWJYdwC/xek6plNbw8SbZ5NA/5XJBlUISaHtLQ3bbcIS02uthlPeYxdK/U+rxO5boqDlS9rPAQvoIt1YCVlunsvpxo9wFgfpKIcrfv+rwIJJQVvnjBRM5jMQ/lPJSj1B+F/oCjPra7yOw4VgtZTWS3reO+WRnZ5tBzegL3QzKJ+SIScK4Y9NIslfD6y1RpndFDX9ilHYKOIqYroroC9xXtKtIWXlu4vcAfx3zHjfa2RfNRYKvQ59DtoNKrTC5qalULNplaBGToWQNsjokzZS64H8DdF4ks6+GsZB61tpc1Vv/rshrOUrnhdH0Sr07iZTWcMG9t2iPH6kkyVKzL3bZndRjqqyJc2le+Dns0pdtkTlu4sG8KnMIwjrwxs5euucLWlDltRc6o1RD2NKPrmF5H7PY0uamG1xGD7WW/PU9+e5X/9tfa15fph5zfnoRfXiQfT4KPJ8H31/n3WnzLvM+u88GufEDWB8t66xgfzGeXqPLVwi1s/x2kF0IUFXn/9E//RCkNw1ApBbX3hU/vWr5j/sWoDLgPSA+n1r4zjj9YxicP3cfy9+fZ317kv9Xi+1p0X4u+VsP7WvT9NPntRfbr8/TbSfw9D+8y9TGX16n4eBLdvsze5mqb8knKWtyuc6srUc+3BsgYu+bYNQf2cc981rWO+q7Rw0bTPW74VkthiLyNIgaJHAjVQhhtEJCh8PrYHjnW2EPLgG+fFzAPKqUxZpkxbeM0Buws6Q5makE5FlcQ54AOGe5ju+sYI9/eBOy6Gl6eRItcrnO1ydQ65qtEjEJ/xN1i6/5doKnQ40StErVI5DhiA+UXExhSgNLriiJl21cFBh+4ShrItZ0C0Rqs9RhMtrYaLekXAU9m17nTFq7OBMOsW1YfYAycPv5YNL0ALg/dMozZWJEBdQeeM2R4FNJBRHvSK/YaUz5MP403jwnEwT8BuyrmdsJnUZFjBhmFFGj7Ig+2qYQAdZkuFLtMP7whoCmwuk012tbiy5Pk8iRZ1aJlNRzGrKv29YM69z8MyCAo0q596bU9p+NYPcdpE7fr2X3XgtXzPWT2mTuM/CIXrtPt2jmjTpuhgfLnsdiRzhDiFuDTbKo67BGURxMAWAv89vIk2Zwmq1o0SyV4VLC9uUb6AzpVippIcMXgA3zWKrTKguKGu3SpztmXI96DUkEAwECZYpaw5wFZ0UxL4/0wpP2QABOC/Agg976CUmFd0Kdr3y64e85cKA5tB0XJyyj0h5EPS3APQspAWS4zdZUHb2vR21p0XQ0v0xDOyFlEYpUF80yNIjZNxDoP15GcUDyyzRn11tHeFGyqAajZOi/O1ZyGxVlnY0VGIZ1FfJUFu6FUq0yukqdhfl3VxKvQ1UlMxxEZhJ72hnXLD8o1xhErmwI9ggcTCjYfW6fBNgm2SXCZhldZdJVFq0xOE9YLcIujFrH7yJlY9rRiwQrkoWuPKR4GBMgEuCWrRK3ToPwBApNaVzVSlkOPOke2y30wAPuuIpovDncMrNwVetqWr2j+tKkGEDqdMnfo2kPPmTBvLotwAijkIpGrLCi8uJMYJjiw5ANt1/ML/txUo4ViG8+7rMZXp+n1SbpUbGM5A8toU2covB5FbdfsUTQMyCDyewEeR2QUk2Hk90NPlxB2uNsneOa5M98ZetbIPloYR3OnMiR2W3hvfKPOrXnGtil/l4gvL7KPJ9GnVMEZNrcn4eeT8OvL9Mvr7NPL6NeT5G+vql9fJLen0W9/rf32IvsovCu78tapvHWMa9N4i8wbVLnyzK+21yToR0ifJAnnvPDp//mf/1kIEQQBIH0UBVCRZ+58ekD6d65141gfTePd8dEn2/otVv95kn7Pwy8h/x6KG+m/o+gaW+9856tiv6fhl5C/J+gTxe+FdxV4K+W9y9Wn58l1Jq+rapqwBjWbzOpK1MHGCFsL7s0ZnnnulKAZx1OBBxy1qFPnTlPhQURHIV0lapsEs4DBsHU9u8vdUUgnkgywPbTNsYdmAVudxJssXCSyYPQ5X9Xk6oTPMn8Zy1Wyd+yAk84yBSYSZFULFrmcJmwckWFAdHxvFYoJRUPXnBP0Ng+vahHw6HUqAemnIRkyVFbQWUQL9Y3lMpbzWIxCWkzpwB8lfJIIiCdD1moSF4Ey4OM6m6UN9IGUdbcA7N0hv5COAkLd4Li+W1vYl95oZzgecwV9wtCBTGIO5QW6bg6ChItEzgSZEjyj3lTR8c5v6+/iaTBptRxAu/5TW8NyAH+VSY0lB9TnKg+u8iIKCkl9aOfBg0pZgz2CQoAH+mq8K5iAWCUwmGlaOH9gKWYRH1Cv56Ke4/Qx6jvmENbXOebAc4bCG0cExkjHV6CvwL+BlOokoPNYLFOxrKr1SbiPOpSIIAhY1U0WbvMI8u76M7RZ5zUnMV9X98YRakd075XD+JodHjBFLUDgihRmWISUIOQziblOeQDIwdN1krX87lqdyk8EF3BPE3c0AspsD5B+X9yuVytwrPP6LUk6AR1EdBLTWUqXGVtmbJ6QMsCUKxxnAVlEDCJtl9VQlzJsk+CyGq9PYuAimyxcBXziOv2ffpq6zioUEFdfnYbbWnhZDXe5djaPBYwRxGZgEm2qe+q2Q3rQtz3Gg5QzVuC2FkivfAgVAJ0FeZC1ScT+us5qx+JwWu0mLLRQI/08E5OU9WK/HXgASBMHzSxnaJsDZA08Z8DxKKTTVK7zcJtH8HaXacGNtkmwzaNVonS0YJFIree6SkY3W5OScSjGsZwkapKoYSz6IQOLVI61lG1CGezLEb7LmrrM1EL6Yw9NCZ5zNg/lPFaa92hrCbxzfRIDudcRDmg2fAA7ALMJ/hxTvLSdbRIAn55LurSdjmMMqDuRZExxz7X6BE1DMk0Y6N4i5wAT4HzCNskd7Iwca4LMETLGzvHCOJraRtszuoqcEbPJrEXOLzPxIVP3r6qfnidvQ3abq68n0V01+FILvz1Pvj1P7qrq11j9moW3sficiO+nye/Ps+95eB/LW+K+d63LyvG1Y9ygylvP+oZIj/s/QvoHefp/+Zd/kVKGYRgEQZJE+oQbQPq/mkWeXiP9x8rxJ9u6F/SzJG89+y0yP/vuB+p+oO57bF/blWvz+J1tvLONK+v4E8WfQnaTyw+Z+vIiu39Vvc7kZSZmuagTo0HNjnCaztHQNdeKrgJ6GanrLLrO43ksIELSDrx24A5SPk3EdR6/r6WbLLyqJZdpOMD2kOFFJJYBH2EHkH6q6CxTm1hNFZ1Ibx7SeUJWOV+d8HlOYAKs02CV7cLgeTDL1FUtKqAlZtOQjKNCFoncnCYQJNjmwVKRoWsOnco6ZNu88PvXqdwkYpsHoK+bagB6rA3uMuZgxIFeQDneOOazarCsRYs8AAazTYqGrWoRUGngB2XLotsPAFAQ7d0blaN24Hb0JCn26Ssh/SSgMBWX6R5gwEb/KHqvzbeGXh3KmwsyxWju42XAV1lQZNaL6D3XjjV0xUG2Xkt5tj9AqR0xP0hg65M39859Kn8km6wIqGjOVFiraG9Jy5nyZbUgBGC+l6maSNYnuOeiPnL6xvHw6GhkVIaeM+B4GJBJ4M9jscoCiBZoCwJcYZbK3elqdBbRSUwhSQQClnqVHIJ9WVZJUVsHtY2TgO54g1rlfF0V5Y6FIIHOgB7kCB5n67V/Bl2hTTbEeyC9VbaS8HmVqKLmIJFlP0m/AtQAgvZusqIOoDiUYVcXCYl5jfTllYd6neGjVZG4q8gwpNOErXK+PRGXp3JT28ec9kwLJPCnIZlFdAeHRfvX0Z7xrxK1DPic+VOMRkZl7uNNrDbVYF6Vs1wsEr6IGMROpiFZRAzeCFAQ3ABQFa206x1T3M+gXdpeczsNaYAcgJfTRECOpqzz5RD0XvZ68lDbH2QKAuD9s4iPEgoyDGlPeh2KWz5qe07frPSQ2aMIUmMF+0+KPBfkm1ZJAY3zTIEfvKeMQIVLQZ3H6UV4o0U1nmUh4P0gKthJOfikz4IDa7CI2CYrjnifZ+KyprapnDM89tBKsss0XmXRPA2h1mqVBcu40C5Nj3QRRlnnHzQ+VToS0CdoapqLSIDajxWZI6ftWXNJN7FaBnzoozFD0KpVJtdVcXkaXJ4WkAHxMNh6eeSjKcFTgRfC3RI09ewmNfshu2B2i9uzlF4m/GMe3L+q3p4mb2P+LqZvlXfN3c8B/Z4G30Nx4zufffej57xzrXe+cyP9u4j/lkf/78vad0FusHN9fPzWqnwyj65R5ZuJe777d6L3+xNudPQ+CAK9cw5GroXtMtK/x/aNY62P/+OdbXxC9jvb2NjHl9j8yPCdIN+q0a/V6FuibpkH2/3c+OiO+3eJ/H6afKmFN4n8/iL/7S+n76vBtirHKasT44KZHeF00PHYsy8jcZnI6zy+qiXrPBwEbLeaxeuH3iihi4S/q0bvTgr7u4n41LWmyofg+QhbI2TMqDsLyCRl61AMPWtIbDh7ap6QRc5nKdVTokg/P3StNNHWssnCbS1eVsN5JkD/ZhxPPXvs2cuQLlNR/DbmUGKzTMW2Fu5r8QqYETqkv6kWAYNZypdVtaipRS5XEVsKf8G9hfShuK/I5CVCY1UZt6A6XReo7/ZbfhAbBMqyR/pdanMU0kUi55mAN4KD3qFtq0yW6ocfSEGuq2pV25uzbSqXIR1hq28djbC1jvm2Fi6rStc6wA/3nuWuQOnJVH1ZHl85kHnM9LGHxYAmAop9tKxTuc54IaUu0n4//EQbHSi8gHfUqAnmexbxoSA9ivsY9Yzj/tGzvlnpE9RX/iikU+VPQwJDv62FkHoo3mJntbV3AuUgUJJdjj3sKzcfwXxZIDKkcXeekGXGys7izpYdcLXD0siHNG7/pvNMTGI6ienj4SuP2jaVs4BMpLeM+T79XDp1WpccwgBpnQRfDVzMYeTDNtL13X5TRXp+vxLaqwt0DnvrCtj/3B+GfJoIiNVtanJT2yfFYUaDbkPlDSSw9Z86qDCL6FT5U4HHxBl6Vt+pDJAxdM0Z9VYBX6dFV8BgzSIKY1qoSio1Cy+FMR6k4Z/W24zt5122N0GFbUk4+AmQfykbqHLPFyUv+3iP0vq/SgQcD6Yz90UcJeaTjM9yAag8CmlbuOcM/cKcvnHcc62e9MapmOcFZC4iAUuI9aitMrmqBbO8rGYP1OYg6XlQN6AJwSyV8zxY1qKy7pW7Ds6CWyR8FhAgLouEzzOxzYPLTM04HmFrE4i31WRZDWfV3TzdWctiguf7OXKA9MCJD0zBMhUD6kzNylT504QtcjkJ/LnntIi5kPQ6i7axGsHBtSG9hLPUd7oHtmgckYHyO9xtCm/A/Ykk04StEnEZsBl1m9RsSf+cWhfMnMT+Nma3tfj3vz7/cpreVMNPVfUhope+feWaN9i5Rc4ns/IB2x+w/dFHn5n3nqAr13zr2R8Z/kLcD8i6fnZ0bR5/Mo/eIeObibveD6P3cRzv8/R/+tOfMMZxHCulyqfWPunTT62f3jP3PuB3gnxS5Ese/PYq//1l/u11fv8yva9FX1L1JRZ3Ef+ayK9Z8PVF8u1VdpPwK+J+z+L/+uuLjyfRZU0NIv+cGnVu9ZTb98yxZ28Cto0FFKx1FQEK3wv8YeSPIzJK6DIVl5naVIN5Tc1yMRfeCtmLiG3zYBWxATLGjrEW/jLm04xfRmKErZFvr3cWp/BySjCvdWueCW2DyqniZSq2SbBMFRimScpWmdwkYin8ETIWAVkkfJFLYP0wvcfK0+7UMhWzgMByER2Pgn/V1eazqpylfCa9ETIG5tEEW0vhb6JyDdHDKPcP3NaDr0GSexqSvqKwnOZCua3A6wX+OGKrLIDiNZ3b06bnoKJNS2HyUg6/mocUjjcd+fYAGSNkTJm7TuWqFswzMYuonvkFQ0/4PCGLlB4E1Q+C+Y9R/3E0vujbHQjB6xfwnz3on1XKtIB/AE2CN1plezq1Kp07CY+YpXyesWVVrGpyWRWzlI9CWhyyh8y+cdyzjQ5DndAfwrqgh9FIzRShUqmo59CKUVUQdl4e1hM8XRF5EPMo5+AXKYWttjXM72KV4mHf6pDP08ypXDJZRjVNWQ5km8oxQ0Niz0O6yQp9LlcGHIxy8f9EFI5aVc1SPoqJduuLhfXcgeUnsCalId0L7rwh5jm1Whx1lTdUDGob9W0BKX+kOQDwoO3Lqiq5y3KZioX0J9gaWscjZEx8Z8Yx1JBuslC7yABaumf01AYg0dVqD8YrlTC4TzDUTOjWrnaFQeuT4nX2BPHRcOu+1Zn4HREUD9hVOTVWIO4+UrXIg1mmRhHrSQ82xy2QPvCHuZzXwnW+Cx1VZXG4aEAm0pvHbFlVs3zPSJ7UiscCE225K7Cdx2JZDTenCcyF8jtqHryqBfOQjgUGbQGbs87VZTWcC2+ErVVAN5ma5WJW3XeIrtqBIftRezTSlx+6TMWYoalxPJPeImKXJ9Ey5isPtXBlQvFVGl6lCrR9ERCoW9IDDRnDSUyHkd8PcF1gqB8fpHSeicuALajb9owGx2fUqnNrHHmXCf/6PPuv//ny/jS9lP7tSfj76+p9LfqkyEcffXTtD3blvfA+KnKfql+r0ddEfpYE8P4zdT9g+8qoXNuVG/v4HTa/OX6X/NCnh+Ns/vDHP/zhz3/+8x//+EeMcZZlURSFoUqSqDifHj2oyHvnWh9tc4iP3irvex7+7TT97UX2/S/V+79Wv/4l//g6+fQq+fI6g91yvp5EX0+iry+Su1fp/avsY8yusPO3LPn//q/Xn2rRMqHdyLsQVkPYgPQDZEx8Z0LRNBEd7p759gV3uyEbxmwckVlEp1nhIi9yOTlV45TNGb7C7jLm2zxYBKRnH4/sykaSbSrnmbgK+dCpjLC1jcU65lCAs0z32nBgVQtnTjPWRBTaE6tVola1YHkSzHIB9Z8zjme+s4n4OldwCh8o5Txmk8DXFmGbB4VDE3NQa9DXy2qoPenlabiqBQvpD8yj/tF/TJC5VfQqlssfg98B/un2lyMTRQ4LDsksAAAgAElEQVRCeT1Jmsw9o86ZcOoCNaXbV/48FrCksAwbMC1/xCSWVbWvbE/4hLsDZPSto559PPXslSSXmVrVgnlVFrHoEtKvMgloBK7nY3kS/g8Q7uA786rUgH0wgquH8VIQ6Pz1SVGEAf4KgP0ur/nA1M4ztsj5HulzAfaxF9CB5wwso4vMJnNagTeK2Co6NOsF01L+8jRe7AJCD8z3Ltige77AAN1gOCoj5/sUb86BHxQ9WfrOMmO7lgdQIv6ox3S9/dOhFA08+/LVnZodcAuQ62o4ZmjgW4uIXVZDMOVlh+mJX8V8uYtXLVMxjkhPFaBeRnrw3fV+gnCixAWzYZnWUJBFIjfVaJfcCWAxwoEyrLIS4dNzOdsnQcCebAI2R9bEOF74aBvybSrnz+NlLVplAeSGwOAc+LI7qAg21aiUxtp36SoRP1plB5Oo7KBfnkTb57FOHQJlLEN+uSf1i5SqLvZMsSgeLIW4tEpsYrVI5Djm/YT1Q9ITuOvZXcfoG8dt12xKtxORcSp0Om9zGm2qwSYRC+nPOIZwHUznJ1WonHF7yGx2Khpz2EVglcn1SXx5Ej1G+kXCpxlf1YJZQMYMrWNeIH1NLXJ5eRJB4f1ceIuYjBN/XGVFPDLZU/yC8ZfmC0yTTU1uT5Su7V/tsoTQ4ClzZ8dHM+quY/7heXqVqg1GLfvZyEfXWXRdDacCjxlaRQwqhHRmdpsHm2qwyPk0o5Oc1uHMQOF2Ym+Ssq2iS+L2PbMVENilY5qQq4Tfn6b/z1+ef0rVJXVvc/Xbq/z7i/RLHtyn6luivsfi2+v8++v899fV31/mv52mvz/PfqvFtyH7FvHPkrxHzpVrvkfHUJHX8n/o00P53X43XN/3syyTUkrJsyzhnLrINpCJnMpz82jO6Gff+4DtpWt2mLkM8a9/rX1/nd29iG5Po2+v8/sX+d1pBIWCt6fR15fplxfJ3Wn05Xn85UV2/yK/yYK3itwkEjYGusmCceLX6XGL2xd+pUGMpmv0sT3x3abw6syFI086oT9NJaSx12kwj8WqFk0zDqnxAa6suFukySWZGMcLx1pQdxnzRU2tJBkhA/B4HjMICkFgXNvWXXypyA/tWXbJ8haezc5vWKdyFbEZx2OGwMBBsHeekMtMzIULVBRy9qB/ulJs/TBXrafxKpPzkE6ZOybOjLprRa/ip23WvtQ8EUAti5lfDUqWrqgo1iXlFxS9Ic4vFDWK7e3cjrBgHeDBpH2SA8GVRS6nGZ9XJTDuATImVuXSx4vAW8d0nfE9DqVsmdCDTgaBJFzh1D7KDjxpQTTIaUjTU1cD4QNQf7SWrPBl9a8ekIzg4Z+HTiHwg20tXFfFIqWz2B8GpOvZPWR2HaPnO8OQjlOxrEXbPADVKmA+IEOGFgEpGENWuPg78/1EDz/JgX5EXPZdUaqze9BvJZtbvk8pYSlBkbShBJu1V4ZUrpLCB30c41mncirwlLnrmEMIZJHwy2r4+JvF92MKerKtylXOp5E3UKgvHUD6C+7C2SfnxGlQu0WdBjXr3GpwDIdGXlDUkWgQ+U96un9HDgJ4691aErg+i+iIOkPXnPnOSpJ1zOc1taipZVWVad8ilwutb7sUeIGg2c5cVCX8ELp9kwu9lK6Y47u4fXlENELrTi53eNn7P9TPh9Pn8K0fhgEWCb+Ko2Ug+4K0hdsJ/V6A29Rq2M8mltl3rRZ1WqHbjbxB6E0CfxaQecYgOr2I2ER661RencbbWljkSqpie6LWVQFzanvyQ+IIxhP8EIivQIb7R8M3y8X1SbySZIKtdViQyMJNSuUmESPfnlD0Ng+vwV/ST9zxuW0SbOIntGJvYR6F8ZapmPnOwD4euuY2Fu9r8SbiY+L0XWOBjKtUzGtq8zIZ+NbYs9/mCmrxyjFRvUZprEhdoF+key5xlzgT1xm7Zg8d1blz7hltbk8DfJXwX19W/+vFyRfJL310G4tvz5P7l8n3v+a//rV2/yr78iK7f5V9e53DRjr3r7L7V9mX59HdaXj7PPz+Il0Id8qtj1blvWt+dlCL2ARZjl1B2DFtK4qiQKo4DmUgwjiSgSoq8v74xz/CzjlSSqVEmsacUw8jC9vYNV/alQVnt8S/8dHGd4bSWYX4++v82/P4Sy24O42+vcq+Pc8A1+9Oo7vn8f2rDHb8uX+Zfn2Z37+qfsrDtyH7nAVlpL8gR3Vi1IkxSdn6JN7m0TIoFje/IeYbYrYDb5YpqH0Fz3hVC2Yph3Tg0DU3ksyrcpmKlSQjuzLD9pSgecxmuZgz3HcqY89ehwxi7NtauE0lpLc1emkNgELi0tqVXYVRJnVJ7TpXV3mwCugAmyPfvsoDWNK9yuQqZVepmFJ7RB2ozoPQHzxO6+vDcuiCfupM/zrm21ReZury4br2gyi9Dgxs80DfpIxes1SOItaRuM6d4mhLjs8FqQuvKby2cNrc1DVK2hY8GZErT0gIo22qwTKkE2xNzcrGsVcB3SSivNqtHKbWOwro+/zIR3+yYP6x7dCPeNIC/j2Lv/OMy5TiYCzKGA/6tojY3iPMxbYqJwFtIaNtV9qu2eUubL67gDjN7j7rXC1jPhV4GdJlVSyrQr/gupTafLIZP5LHqwfLK/TKXb2pBuWC/HJh9rJYblcKCMHb5TuvqDRAhUH8gcW8roZz4U18B0pTV5mEnSJ/NCLbWCxDuggI7Cg1DclA4Z5AEL2HM/Fgx7Hi1DVuwe7XsBVunbkdiQehdzBMj9d0/EgT9iibiE1SgMc8ZnPlT3xn7JoT31kqMknZPmseF1QPsi1lpN8PHITNd2H55a76XRdhPOi3qjgY+vL4PtlvB4/TP9FZiYMXP1hRphebwDKBfkiKLYaE2yJ2A1VGttlzrQYtjo0ZBt4iYttUQvRrncq58qcCLyK2zpVe3f53DMWj1gabagSV8Is80PuUPKnky1TMcnFViyA9ulQEwj/rXEEM5jJTE4omvnOZ7Inpk77KQcFpqU/kKnuwQLdQJB+N3SKJfJ2olSQT3xlha+oam4TNcrE+CfueOcLWOuOTlDwxiTK1zYNJQJvS/UU5Z8Jtes7QcyYUjbhb584b32hScyiddUi+nKa/P6/eBeIt8+4y9e158vVFfP86/fY6//oyvXue3p/G31/o4+rjL8/jryfRt+fJ11fJ99f5QuKpsN87xnvP+uygLnE00luOXUb6/c45EL23LCuOY430jBHsOoD0L6zjGSWfPHzjoy1BI+FsQu9vf6n97WX264sE9rr/epLcnUbQpq8vkgLjXyRfXyR3r/L7V9XPJ/H7WHzKwy+n6W0t/pCpSUrq9BiK8ua18OpVdX0SD4UHSbtzZjelO0roqhZcncZXtegyE9uqBPJ7eRKtYz50zauQA9IvFRk6lalnzzhepmJ5EkyZC0i/DKnG43XML3e1Wg9QJBFXtaS8magWnX0Eo3+VBwvpd53jEXV00HKVyW0qLyMxds2Rb28Scbnjm+tcFfHhhyXlWiPLUXS9x9nTWLWLTQF1KMJ0uYK4uo5fwYqpQUDawj2n1gVFDe41FbmQ9ILjC4rawu0FGMq49gVNGQcke2w0C8nYIqXzjK2rYh3TGXNmqDK3jsfEXUi6joqFLsUC/ZP4oOxIRxSvalF5aZzm1+VNssqgdVA3q+dted2BXoawyX64duDQJ95dhzl/AAmw16HOsMA0vqyG16fhLOItZNSto4ZngnvUD8miGkIZEVgN+O1U4KUiesT3pvlhDOMxz3hSDtZZlGRfjaUrEDe5eLwB2ePPq0zClwHpD+gaMOzH0RSQd9VozvDQqUwJKraDhNUQpZuvSj7rWvEp80Y+mjAPNmaB4jjYDw6OWzwT7oXy9HEydYHhYOIL6ra5PwjYKGKXp8H2RG1qhwMKmqxFE7tiQu0qxYr2ZErXja4SseDe0Doe2MdTgmYR1aG4MtLvIeRhkEkXxuo7w5Vldb9wF9qzqclN7QGcl+t/fzRMP2IwB4C6L0StRrrCvLwWd56pWTUYZqId+hfcqROrhc0WMkaO0/PdJnMvmN0W7jRkl2n4No83p8kyVcuQLoW/FP42Zpc1ta6WC0FUedPPx9i/M63qYBU+kMgfMZhlVV1XwyXDI7uy4B5kxLe1cJixVS24roZzhqGYaRUx4JfaO1+mYpbSWUrnGTtYsKqlXH5bdG/MFxGbYXvqWlPPXjK8ZHjmO7C/y5TaEJFdJWqEnYnvbPNgflLYQy3FEpianMesE+LzwD2XuOE7fYInAZ0k4oI7sMpuoNA6pnfP01+f57ex+hCwr9Xw2/Pky/Poy8u4CIc/T7/Vwl9Pku+nCUD+/WkMH379S/7rX6rTAPeV9dY13vn2F8cdeID0JsKOjZwwDAOpoihSodwjPeyG+9NPP4VhKKUMAglIjxzLdC3sms/No4nvfXTRB2xvCepzYxXi//zryd9eVX99nn59kXx/ncMu9/D5++vs64uCidyeRrcvsy+vq59q0btEfEzV55P4phq+y9U48evEaHH7gpm9mPYT1pH43LPe+MYbYta50w7cScbXJ+HVaXxZDbcp31ZhOY28PImWIe075qUS21q8zaNVwIe2OcVot+tFOCYO5P6XIZ2lfJaLZVWtElFG+r17lKlFxGDbNQixggGFGMBVLbqqRZtMXeXBdRasAjr27FlArp8n65Nij6pVIlYBHbrmxHeuUnVVi4Dmlx3ZAzermAzVw+VnBXL/gC+vIraK2Fz5Y4Ym3AWuvSol8MCnH0S0Kd1zZjc4birSVKQuvDfEOSdOW5FRwvVaZB1yX6Vsne1dloMF2TB/5lW+qAkA+yVDM1TpOxVIbhXkqapWtWBzGs1yAan0A+f+yfXu61w9DhEXiFtCjgcmrxR23icm40OXSwtE0UEKP7smV7UizbavRzspBBbj6l1u9FvMAtZ2zQaqnLuVC2Y3Fe4F/rJarKWGDROvahHEfraxuKolV7VkW4tLZcliWd0zm4N2/jD6XY7rJIV5gnJUzZk0bG+rUteca4GaynLUcZkKsFPzhOhiLmAkELzZVINtVZZlk4t1xlcpu86COUE989kAGRPpQRTkKg90vf3B6MwZHvl23zWGxJ4FBB40jkhXeS1enGJ+obxG6DVCrxmg3S7OGM616wgyCNg4ltcvoqvn4dXzENY4aTlkcroY8xGyFupXVfOqXFbVZTXcKjpB5siuzAlaxxx22rmuhpuSrdjsXkfnjDY52+Q7N+ChVs8zsdtvex/5X2ZkkfqH0/mRH68DbJAFe+D3l/ThAFN1h2vbckAdFjW1PAlmVdmNSJM5LWx3HKvv2D3b6nqozXCTuX1BVqHYRHKt+ESykY8mrrNw7eX/T9ebPbeRJHmD29M2NmbfW9uYzcNOkUDeR0TkGRGZicRBUlJVTX9P305LIkUSIO77vkkCIKlSXd29+y/vgydSrOoemZsMAHFkRnj47f7TlQFRh57ZZ0m/YlpQDFz9u9TDb4y8o/cM9lZqhL1Wk/1XsmiU92eR18caaHoQ15PIa4fWOOctIn+I9Y4sdHW5jdWeaw5cMmH2POfPYjqOneSM575W/r5e6q8CBMQUyDc4TZrc0aSOJrV1CXR881hoPPBx3yUDG3c0pY+MWUzHZ3xeoikrjgvepOgD9blV840rV/toawBrW/VwlVofLPkjlsq20qLGNLTvi3xfCLbc2TA7KWgr+PsiPZT4rsh2xeAlTz8X2OcS/3wWfn6TezoLID8Omr7laRVXnKrZpSkfFK2hyUiVVEVSNFVWFc/zXmt6x3G+Ytn9x3/8h+u6rusClh3k6SVdNnSpJGU6yNzq2sZQplirutKImV/e5T8Xg13Ou4+9dMr9y0X003eFX74tPBfZruAfSnxf4o9n4eNZCGP/ltxe5bxlzltEboOal0bmhkgwGCdFUk8wm4n8yVLuXK0dkKRMOrKnBQ9iStMS7/lWw1DGNplwb8q9kWs1ZLGtyi1V7iC9jfWGJtZVoWXIfQ91A6sT2f34mKQ5Go+w32B3TwsO0KTkzkvevOTNC+4idmYxhQaPSeCMfNIjettUWobcYwTK9Hqx28s5bc9sW1rTlDtInXInSVjG7rjEJkU2yvvTEp+WODweF+ikyJJXYn+aTyyJAbOgpSRtCkqTdkkZbexOAmdISYdodV1sERXiB2k+YhS5MAmywcitZ1w66hHE0wT36JKot45Z4wSGyL7u+UlLpX4XHYWi2Q4nndDqRDYMoB6GTt9DLUNuqpm+rc1DZ17wpwVvlHdHeXcYO92cA5IU9N80T8cFOi5QuOtxiY2KFCaTDPJeP3ZhnC3II5gEPi6xcYkNYgI0zFujgj0uOpOSOym5k7wNvdSzojsrupO8PcqRQYj+cY5s0t17nH/+O3otPb9mPWOvn/NhAPCw4EPOCHrPakitalJFl6607KUhfLKUiqV1fNLzcc/HA2YNfDzw8cBFbaz2HXMW0klEIYA5yHtws/341Z6++vVhDH/9JzQI0TDC49hKbxloXuTzIk+H7iXMnKfpCqc/Ct3hx/5mL92LeZHPCmxRCubn4ewsgA+OS2xyxqclnuqMaZ7OCgyStaPIHTGrjdW6KjSx0vER2GSzmKaa5jfZhMgdczLwzY6n96gJ8aReSDoc3blG2TZA0187CXTClasAzuyVpQO8zRXWyrZRc/HrE5FWfQ5jb1JkQHCaZjGd53xQAGkMKe1KhWYBsGYmgTOyzYGudHW5h9SBi8bUmgXuNHTH3B5SMvBxzzXH1JowexI448iexu4s7y3z/qrgTUscKufhlkd5HxRqO3TaodMJEiEwO2PTEp2UXDgFIAHGBQoCDeoKxwU+LvBR3k+XeppP3vC1ay5l3Vfp/N9o/ZiMcgmNIzIK8TBAY44GHEMAsmEbd4ZcVeSGLLdF5S6brSjStS5f63IN6T0bdZBeU8S2pjUluSNLfUXpSkJLEVqm2MRSnyEwKIdR0pzSj+1eLsEX+CpSjhb/LH+MweStlAYxGRXs18d5euZNz7zZuT/K+5PA6RhyUzjtIXXkJ+vf8/GQkplvDXSlLWQ6stBUhaYpDy1j7JFZ4M4hTBg704I3LdHZuQ80PfPGRWeYt/o53IsQjB9uBwR8v3HOGwVOn5KhoXZ1uaWJdVWoaUJdF+u6WNOEmiE2kdZBeltT2qrcNrUhd6FcCVyC9Hx1c04nspu+WbaVSyID2B3g31wS9T2RYBpuixrjyF7F/jbnr5i9Yjao8H2RHkrsUOL7IjsUwy/n4eezABx9COlDDdyXi+jlImq6asUVJ1p2geSDojV1xZRl0PSqrrluUpHnUf+rpod///7v//5a09s2STX9mZztYgSafoLUqidOAvzrn89/eVuC9PzTebg/Y7ti8HQW/Ppd8dfv888l/5D3n8/Dw1m0Kwb7UriJvJmPZ9yah84sciY5p8nQR/30ExLAMfqIpY9YuXT0G9eEWZhpFW7F0SuWdoPkMlEBMezO1m804Tr7TVk4retyC2kdpFeFTFOR6pLQkMWqkAGLrKGJTaxUXa3saXeAIXscdAqoG8mwW25PS3RaouOSPyp6o6I3jJ1+gHvU7Lhmi6hNrLSx2tSlinhSEU/qqtBActPS6q5e8/SqY1RM+VYVaprU1pS+g7vUgu9vhw5gTrxGni3bWjq3v+njDrf73OlSC/B4EtAz7whs6ht1ajYYAhoEdpfipqXVkNy0tD4lcIBBD7UZhiG1Fd+8djTAp08Ru4FuHbPsGSCJ0ln6ryuMftehC15a3f2KBdnwcdvDLazXNKkuftM1pZFnjhjuUbPj6U1XbThKzdEattay9a5j9FwTOs5bFIFnCXPB7hz11pJviHRFREAwg/1N4XqrntniX6kdoE6IuxHp5axhwX1NvZzVDlCD6r8Dgf1KRxDSqpfgcQFMODyuuhqsNiCK1l0dppMCxF/N0aq2WiNK3VJvxNOKnG3qSlUVb5TsjSldG2LFlCtqpqYJ0JldU7JVOXMrflNVsy2kNZFWt/SaawJO8Z2rwYMjEOrXK6n5BiT+/5EaVG8yoxPiXs4a5B2460HeAVAfQDcBvFRg6RSi/gjYo94Q5RrLUO8G05cBJaVBzQY120eQEphTmyLcpIPbYLhQCoTT8FDDNhpEb9gGzMmvOkbNMWDqTueIp5DOWUqCByEB6kdWNyLtAFU9XDkObAY06htPvfHUGzsBZ7ok6gckfzRlQKx+zSGvkYgBwrxq6zWi1bHWNNWmqbYMtWnKDUMCAvFdN6W6KTUMqW1pHVtvmnJTzralbFPOwt41damFFCD4eE0TmqoAOqCqC1VdqBkifFvT0etYge+sY6Vqq2Vb+WRJ11j+hKRPCJoDtfoRq/p38FQpFkDZNpJ5sTCukaHjibZejxBOCbgihRFKYIcCpx/bvZC0qNF01TqRGkhsGELDEFqG3EJK3ZTuVPFOEeqS1BKlVlasC2JFEq9l4VrOVFWxrSlNRbrLnnZkqSNLfU3tGRrov7opNZA8cI0hRQOOexy1qFFnep3pVaanG5FCybWY1eF2LyTdALcD1ODwZrVGlbqvVF2p6ko1T677St1XGlRtMq3JtE5odVyzqQqN7ElLEbqm0tQlyMO2damry005WxNO6nKmIp7cKZm6KiT7RdSmpbVcA4YopAcEDJFOiFvcbDIDZtneumrF1xuwyJ7ZtLSurjYVqSoLd6pY0aWKKZcN6VYXr9VsRZcaplpTlbqh3Rly1dYBlDnFZYaRjqCzKo5+RWRAWbx09EtHv7K0D0i8dNQrS7m15IanjUJrEblLIG4/FuihxA8l9nTGk6z3WfTX70s/vM09Fv3Hor87Dx7P+EOJHc6iLxfR5ze5tqtVXWmmCUtTflL1pqmasqypsqwqqq45jpdqegjVJ5r+D3/4w5/+9Ccv+efA5BxNlSF6Dz79RlNXmjTUpSrJjH3j13fFX88KX+LwKaYvpWBfpI8FvivQn97Gv34bvxQTTb8rBodi+FSK7mM649aUW5PAGoSkF5Imx1dm9oZIV0S+cRKs3w+Wmmim4/DLSyJ/QOJfjGwCYenoN655a+m3plrT5Tsp+yn7TUURarp8I57WNKmqinVVupOyTVlsKVJDFu9U8dqUPiDxvSlcEfkWazdEuyEaYF/Cr9wQ7dqUrkzxIxIvsQQ1QTemdKMJd4Z4p2WrarauCg0lW5czUKJZFU+qcqaiZm6U7K0qVBThVjy9k7JVWaprasVUPyHlE9E+2foVVm+OwNsfTfmDIX0wJMDcTOVX2TbKRL/FGlzeNVZBKCdDRSzldxhf11i+QTLMVC8T9RYrgMgCGJGAHfLBkv+CxaS57giXByGTdEoJoIWmIrKKVRBkVV2407KvCRzZsiHdmFLZkACavS4Jd5mThiQ0daWeIGcIZTlblrMVOVuVE5ishizWFPFOFcuaWFGEiiKUNbFsSLdIvsUKYHbBRqQE8OSXSAFxeWWKKcErr80m0GTXWL4yxd99z+++EL7zEksfkQh0SeSPWLrE0ickXZvStSldG+K1IcIh/6RkblWhrIl3WraiZu607I14epc97SpyR5bqklBRhE/S6a0q3EnZqiw0FakmZuuSUFPEipip6/KddHojfXMlf3OpZS8N4b2RvTSEK1O8xNIVka+I/BGJH0zhvZH9YApQV/FPCe4auAKsoiNJNyR5/RWpKdA7cFrKfvDgGqvXWL0h2iv1r91a+rWlX2EVDuNHrHw05XTZr7H82mi4spQbooDx/clSPmLpgylc6cKRe9PvT+gaywBoluIL3Nl6xdIAnjV9262l3jjKjaPAxQBQGMAwXhL1CqvJrmEpXUA4IB+ReGWKnwzxRhMqinAnZWtitiZkKuJJVTypiic1IXlwJ51W5FM4vzUlWxVPqtlvGtmTmnRalk7Kwjdgzd+K35Slk6qcqcuZmnTaVcS2KtZVAdouKnK2ImaqQqamiHVJAAejpogVXbo2pY9ITFiOyECXRE6gtwGr9zjf9xIpHwzpvS4CLC9IpGtLT43dMtFvLR1W9etuEvX15iZzgi0dLKEbJIPsKsvZO0WoykJDFqEhtioLZSlTETM1MdsQpaYgdmSpIYsVOXuEusk25WxDyTZOT+titqHJVVO5NsQbUypjpYyVmiJWVfFOFSumDHf6AYl/wSLsDlC69WXyVSlep1uJpUss/G77QL4lQzyR2pDFRjbTFLINSaiL2bvMSU04uRO+qSnZsnJ6o5zeqplr+aSsZW+U0xvl9EbLfNKFK124MuUbot06Zio50y1Ify7djhtHq1jaLZJvVaEhy3eSWJbFsqHcIPUTUq5M+aMpf0TiJySVif7JkG9s45KoyS0cvySlBCzU1mFHblx05RpXrgEh6ktH/WSrZVtp+vootGaBPQ9sUPaPBbr/raZ/Os/97c/FL+/iQ4ntSvRwFuyLbJfnL6Xoy0X045u47xlNV16qwtqU94rWMFVDkkDTa7pp2y71mOd5v9H0gGX3pz/9yff9FLU29enTirytrq00aaCJNfOkj8QDd3Y2ucfmg4dfYvZSZPtSuCvQn95Ff/0u/7lEX87oy0X0WOCHYvh8lnuM2SJ0ZoE9Cq1ugDshrvnGNRYrjn6N5Ssif0AyAKh/xOpHrL43pf/Whb8Y4gckf7DUD5b6gWh/IepfiHrp6JdIKSOthc2qLFyr2Yop3yHlSj4tG1JZE2u6XFXFuphtSEIii5H0EUvviXTtaCk29iVJJBp4DDdYv8Ia/Pol0a6wdm2qnzT5Vs2UlUQEVMWTmnRak04r4kkre9oSM3U5cyOcVORsQ5NrYrYuiGUheysJH+Xse128JOoHS/2IlSusvgLbVi6JChBzV5b23k7eA5dxXATltYx4Te9d5YOjXLlaCnQL2F9XRARK+NtSPljyeyK9J9IHS7yypUtL/EgEaGr4iKUPSIampk9IuTaVT4Z8pYqfFKGsnN7KJ6+prJyWldM7SaxIYlkWbxSxLIt3slFNli0AACAASURBVNSQ5baitgS5KSlNRa1KclkUK5JUVZSqorQlsSOKHVHsCmJHFNuSWJeEqizUxOydlK3I2bKcvVWFG01IjugRjxxWJqVLpH80NaBLpF9h4xMxry10hY2PpvbBUD8YKrwO74RS7X+k484mdGVpcD4/2spHW4EpbJ+Q9MkQrw0RpOSNeHornlbkbE0Ra0r2TjqtSadVVaxmTztZoS+IbUGoiJlr4aSsiQ1ZBOOyLmZbitTR1boqNU21Zch1XbzVs5+Mo22BlBvy1eQCW/a9KcC+fNWyv6VL9E+W4goboPMSeqXdPyAZ6HUI8ZKol0j9aCofTQUszg+GdGXKV6b8URevTPkSKVAc98FSP9oaiG/QRqmVAE//D8q+N4WPSLwi8kdbuXTUa0e7c41UgX0EQXn81JWlXzvmjW1+IvoN1m+JcYP1axOMOeXKlC8N6dKQrkzxExKuSRbMi4+wJrYCLtFHLKWHKFmW427CpV6bStlQ7lS5KksNUWqJUl08rYunTeG0KZy2xExDyjSUbE3JdmShpQhNVWgpQkcWOrLQ0sSGIdVVoaZkQdNXxJOGkm2rYksROmK2JWbqkgDceyeJNVGsS1I9c9rKZoHVm7JYVcWyId1i5Yila36ydegs+GAlsuu1ek6t//821b8g5T1WPyAFJAboJNDxX2214y2nguIVh8A3a9dIu0FaWVfvVKUqyTVRqgtSXRKaitTQ5NQdaipSU5G6ktSUxaosVOVMslBytq1LbSnb0sQ61sq2BjbKravfWmpNlMpZ4UYUbjXlFutXWHuP1ffW10h1altfY/UTUq4M7RLpn4h5ZekfiPYeq+/hJB4P5hXWXtMHLXOri01FaokCKPumkK1nTpvCaVU8qRniLRIT6xYJd5ZSIXLFVgBG8ijV1fdYvSQaEBz8VyRdvuLYG6JcG+InJXMniWVRuFWlMtJura9b9sFRPljyJ1v/P4bwwdX/H0f9b1t6b8sfbe2jrSW6yVLhyFwSFYL2n4h+7Zjwhk+Wco3F90S6JHLZVtq+PgmsCSNjH00ZWeW8hxLbl/i+SF9KHOrZny/in99GP15Ez0X2XGQvpeCQ83eh/5zjoOmHntl1lKWcXeriTlarppJqet1ArzU99XzXPmr6f/3Xf/23f/s3z/MYY45jUeo5jqUoimQouiycCRmYnLM11a0kjoXM/OT0s6ZvTr5ZnX7zSPTPOfqlGD6ehY8F+nIR/u3PxR8vol3OeypFT+f5XT788rZ4KIZzD499NOakx1E7QHUHV7Be88knJFV889LIQBD1GDY0b2zjOOzavHXQJ1sFUNeybdxaesUxKx4uu+g9kW5dHULBZUcqe0rVVWqWUDHFmibMTrJdMVsxMrdEuKJyw9MgipsgdAHuLbgpr8Zug5sLBKF7IHhcN6U7LVszxLYu9WWxd3raOz3tSUJfzvakzCAr1sRsVRauHa3loluGaj66ZQmG7Gs3FMz2iqXd2XoaBfpKlvo7hzX1bm+IcmfrgJsCYL4Viiq+fkeNeoLrpZUd6caRrl2pbCtlSy5joYyFO0uquHLZU2595crVrlzt2tFuLbViylVVbIlSJyu1hcw/pYYs9iV5nJVmojJT9ZGqdbJC55vTTlZqKkpDUzui3BaEmiLWVakny31JHgrS6FQYnQqjjDwS1ZGojrNKU5LbGXF0Io1PpP43mb4g9iW5K0kdMdvUpYqtgPJ75Xcq4AsCmG+DEdhBwDq7foV8mqzn0WuEB+D4lm2tTPTUPbr56gDpn45Py0StELWK1bIh3arCnZK5UzI1JdtUhbYqtlWxIwstMTMQhX4mM5HlkSz1NbmtipXT/7sjZnvZzFAS20KmZyhNU27Y2q0ll6lec5Seq3dNpZE9qWdOq7JwZ8gVy7iz9SQYQ75eOYyBe80kKZ9cW/qtY5ZdBMBu8LjsoopjwsrUfFTzjSozK75640jgJ8HIuXSGfJXhI9ujimPeuajq4ZqLqw6qevj1ixBUL9tG2ce3HrpxzVvHvLGN8pFuXbniq1WmV5l+R7WypwAlUH5H3NKUgS+RkgTPsHr09owy0T85cseQ64by0VZuLfXO0iBlULGlWyLcEuGGSNdYvDKz11gs24n/BHN1wL6BLQafCTjh1lJvsXKLlTJW6r+lGlEqRL4lUt2U6nKmmTlpCqc1TShjqWIrVVu9c9Q7S6kR5daSLy3xypYqRK6q2YopA2/UiNayzaapNnWlpcp1MdsWhDtV7Gayw//MdDPZriSVba3loopzjElgCYIigDefgtSBTEgSeZ7yNYuUAAejsotqPkr5Ac7Cta0msUmklgHlD6tQtFixUZqtS+TnERG47BnXtnrrqlVPrxC5qp425dOueNrQxEss3JjCLZFahjyR5aYuNXVpIJ20daHFzZtAu/SUW18DqVjRhYaSbUvZhizWkFr18CeilW3j2jduHK1C1DtLA9TmW1cHVx6QSH+Dg+ybdw6+s82EgbF+5ZsfGaohtWyJDemke/qfXfF0oEgjURyIQlPOVtRMDck1olRspeKot656bcvXtnxn6zeufulp175R9cy6a965xrWj3bhm2ccVD986Ztk2qg4CPq+7ZsPHVYarDNcprjkapHIGWbGnKk3LqPjmJ4ouPePaMaoervnkzjWSXJuvQqKt4ujJKbB02IKbowN5YwnXJHuDszdYvCVSxVYqtnJryXeWdGWc3BKhyYwOR/0AjzkZ+WjNHXCG90W2K9HDOX9+w1/eBv/vn0tPRe/5TXg4C57Pcj8X451l7jT1yTR+spylIk804bMk3yviQdFq5Dcz8nzX812PUuozyhj7imX3xz/+8Y9//KNt24wx17V93wXUWtlQdFk4F7NNBz9L8tpQVmK2p2SnkvDFtXe6stalBw89xfS5yB/P+K7Ins+Dv/25+NObcB97T6XocBY/5NnLebzL85mfaPoOR+0ANT3rzjYbjNxaaoOhW0tucdwOSNPXW9RIs85digEdpM0AI8TquLjj4o5PWr7d9KwGIw0fJxBDAWpQvUWNATd7rtk31W1WnCvSwNHHnHTy9ixy0iqztFwW6u1TSBuAIelSDDVWryd4v+65Grl4bJljXR1L0lgWpqo0UcSJmF1IYl8V+rpY89SubzRC1OOoFSIYpptgUadZVYbaAXn9IFkEhgDYG5J5aSquzW1ADu0xu0/tLrUAQLbJrSbHgKLYoghWuMGNGtUAvLxl611H63h6l5ktbrZCBMju7YC0mNWlVt8lQ4eMLNw1lY4hv6auqXRNZWCbI2KMdXWqKDNVnajKQJGGhjpGes81Bz4eO2hk6x1P7/rGxDb6jt7HSl8XB4Y0IDoAFfax1jOUoaaMFXkiyxNVGqriUBXHijgSxZ6hNC3IoOtVx6g7uO4kuGSNI7pauiYpsHcrIE2OWxy3eIIcAxAyaUFAi6IOTxY5pdbxI02eLG8CicGtPiU9H/c9BLV1I5+MqTX2yMjFI9scyUIvezJRpbGpDJDSx0pHyQxVcSRlJ6rUV4UhVnu21uOoznTY/TEnY8cYakpfkbp6Ag+a4nsCdB4gfPciDyoTUz5JCcoVoXQRRhjB0yRBG1rHOzJh3wHUte4bLY6hWgo+lX5/+rVQ/gk8CZT+aIvj1qtreM23UDfQDlA7QJABBUrPUYuiFFI2QZhNPmg2qAk/BH8dI71nGzWO2gz3mN0JnB6zOxy1mdlmZjtA8KPJhYUWUAseHy+sGSVFcHBMUuQ3OMUwna1PCSAMNRkauGiI9YmqjBV5iPW+h0AOQNfrKHK7kd2MrE5k9ynpIbVnG2Nuj45CoOfjroc6tt62tB7R664+1JS5IE1Eca4oHVvvObhxrGsBWO2mYzY81OEIYNB6IemEGBYwpRT3KEnkBzasUotjYHW46ybHyXTqyO7mnHZoQTFQkyZvgMrZTmR3I9KNSCfEgDsF0++7zOw7+tjSJ0QZWlrNU5uuWrXljiFOJaFjiF1TGkmnXV3scVQPzDLVGwwBnmHT0btYG5la11Q6Lu5EbpM7ncBrhKgdIJh43QlxK0TNwGwyA645qf/NOd3I7kR2BypDudWJ7F5oj5jVytmNvDPyzBaR+3J2lD0diJmxIs5kcaaqI2L0bGNIyYBZbYbh2+CM9LnVDkgjJK2AwHTOHiMgCpKi5lftVENud30D6kX6MH3SR30k9tXMUMyMDHnoGj2OAAqozXCPkbaHOz7p+KjlaW1f7zITKpRT6CDAFUwLU7oBTviWmcDqDWpWPb3uqrdEKFti3dda3OxxNGJ4TPGSWrs8fypFj3l/V/APJfZywX94G/7t+8I+7xzO+eEsOBTD5xxf6fJCys7F0wdNGwinPeX0SZHvNemg6v+TpofofaLp/+Vf/gUa7TDGjDHPcwC1FhBudFl4I4sNl+xleWZIMynTQtLY0n85y30OvQO397EHLXYQf3gu+X/9Lv/LuxzEHPaFAJIQ25y/YNaEJVvV4rhOccXR69Qs20qL45qnQqnOkBpjjmYhmUfWPLLmAZlxPGVoEXgL5iyYs+TunLtz7s4Cfx5SmHw3ptY0dGH81iTnrAvezMcTpN6fCktBmCFl5aNxRJYMTzhKaRrgWUgSCtx56M1DbxH5i8hfhv4i8BaBl7YMDY5SAyZ6Lrm98MnMNiaGMlHEmZRZCplVNrPJnk6UzETLNh2x7yrtyBgHZj8wO4HRCYxuaKYErwzzVpvrncAYRrgfmANujkLcZwaMvftagX+U7D1G0gF5Y25DZ2CHExjnBxZMOrGux1HfQ0MPjz0y9sjEt8YUDwMyjKwpI2OwZtLpm8zqUzJh9u9oyp0pdyYcDakxcNQJkheqOBFPh7owZubQ1TqB0YvQmKMxR90I9SJzws1xYA4cpY+loasNAzQIUY8bPaoPHHVsqyMkDYk8dfUxlkfK6ULJzoTsUBXbWG7YWsMzYER2l1qpzZceXZBxI2aOmNlnRo8b/cAchAgI1nDAzWGAhgFKH/ei/4FC+6s4YNaA49eUNh+OORlS1PeMsS72pJOxKU1cve+qA0cdm9JUFaaqNDfUkSaNiDZ0jVFodULcy9ttV+m5at/WxlidIW1i6kMHjUM3qYc/Nll8bdMKUT8wgXrc6HGjy/Qu0+FGBtzsUb1H9T4zkqdfG5wIaMeWpzQcCahuiy1PgW+D7/nKhEzvMh1WL/1r8h6qAXWZ3mfJ8g4jPIwwXF6PGwmKQUiSQQscHRv2DKDXt9DjBvw1bXeGbqhugFuOOtXkIVY7HMHwqG5g9SnpUbPPUI8nyuN1D0iKwZOUozMCHSuv++h6jIBq/x0MUtoFN6bW3MZzTZsrytTUZ741PiqJr8guoT3k9thBQ00ZIG3BnAmzh8cT1w2sBjXbgdEPzEZkjCxlKQtzObuWhDGWe7bRdoymb3Y4GTALavgHPu4yrcf1fmD0A6PHdXja4/rroQXpuP5OaIGg6EWon8Owcb0IdQJjwE3Yml6EkiLHAPc4anO9zfVXu6l1qNqh6oBZsHpthjvUGFI0cc0hkRe2Cf5lx9N7hjQVsj1DmhBtrghDUx4x3I2SNYED0g3w0DNnLupjreuhbmS3ud2PvE5kDEJzGJrD0OyGRjc0epE5DM1OaHYCAy4JGOnIbGbfM+BGJtTsRagdmVOs9PXsRDydCacTJTtRxLkkznVl6pgTRmaBPQksmLQINA3tMbWGNNnrkU/GHhl6uOfjVIOkEh6ernLOImdNQjTh5jLAK89YGdJSOZ3qwtLVNyG8wU4otObcXYb+PLAnFE8onnFrHtgzbs24NWUEXpwwMuXWLLDnobOIPWgIn+Rd2MdezmkHpEWNpq/fOfKdIzeo3uFowPGYkyW19oUAhsymmv7Lu+hv3xf2sXcosSeYQRfTNdbWhrJCys5GA03sGNmDpmw0aSerd0j5nzS953lJnv53mv53CDeGLLxVpIZLHiRxYkgzTWy66pjiv35/9vNF7rnIns540uxforuCfyi4P3+b++t3+S9vgh/Ow32RHc6CXZGtY3cROpPAGjCrRVGTkrKnlW2l7mtVW24zs+3rg5AMuDmixpShRWitcs597D3E3kPs3efcXY4+hN5j5O9ydBt6K2YvubuJ6CxwwQiY+XhM8TS056GzYNYmtNceOkjyWsguDHnrmMvIegisKUOvacbxPCCL0Fr4ZE7JgllLbgMtmLVg1pCSBBoVLHroofLxgsFmo7GjDdXsOPvNPHOyEYXV6TdT8WQmnTZRpmdJrdAY80Tf9JnxWkyPQjyOyChHukwfBmies8H+mIVkwtEwIH2GetTsMhNEZIejFjVAAo45GXMCE0b7DPUDDPP1ZpE3De0RwwPfHFI05mTk4rFHptSeU3viW8CXY07mlEwoHvkITs44Subz9z2UEtwpdPAPqdHmeodqE0db6/I0ezIwhFGODBy1zfVOaPaZ0WdGOzI7oTlm5so1Z0SdYmXmGfOATAI8ZuaUIdjfvqv2PW0WkomjDcWTpZBZZE9HstBGUsNRmr7e4yiR1wy9plQHjzx94GkDT+t7Goi8r3qF6n1mDKkxpMbAPy74UUXBLsDVDrg5yTmgyGExh9QYMXPMUTK9lX3V+nABS0sfaNmxrU4DPGLm2DdmRJ1KmZkmLpAyNeUhkUeePgpxL0K9HB5wEy5p6hlzyxgZcgfLvaPD2mVm59WeTgILDKZ/JLBsRsyE+4LrHMHHAc4utIYB6nhqwxJrONv21aYr1yyh6cqwOKC8e9wYhGgYoBEzh0wfcWMSokmIpiEBmgQ4/a0xRwNfH/j6kBpgML0yRL72QKct0cPIgrf945UPKRrSZAfB1gRLdOCoczk7MaQBxxNGJhQPAzKmeEjRcUfQiOFpaE8Ca0hR1zdGodWjZtc3ZpEzDe2Bb0LiExg73bhk+3wMAMfgjvePWmFIycRGM12bStJUUeY2HjELwj8dnph9E2ZPXDxDxtIwph5aRu6Y4oFvwok7+uVmNzTrkTG0lIUiTMXTVTYzMsQuUVqOCpw8DMiEkTHFIx/1PQ3WE5gzXd5JgCcBhh761MTpMZIueI8bHU/t+lqfGV1fG/r6hCMwdgfcHAYEZMIkwGMwyn0d9nccmOPAnPjWyCdDinrU7FFzwsiEmn0srZA64WgRWiNmjgxxkT0dGeLC1pemNsbqmBMwyPo8mVrfCYyRj+Ye7pty3zPazGwzmGZvjgNzzIwh0/tcH0VoGuF5gEc5Aq4L3HjKw/BKjxsDbs4pGka4E+gTUxzKJzPpdKmKU1OeaMJUPB2r2YGjgjYFDpkyAlp2xq1F6MwDG7TvgllzSqaMTBhZMrziZB1YS06WnCwYngdkHpB1aC9CMqHGxNOWnrFCykrKrDMnEyytfPM+sNaBBZ9dMjzzzVXgrEN3zZ0VszeMrANrHVgrTjahvY2c+5z7mPcfC/Qh729z7iZyYHLMInIXsTfgOJncECZIVHVXBbe+zcweR6Oc/Tp6f8j7z0X2wwX/+dvc374vHPL+vshgDN1zke8D9zn0vpyHP53lRp7ZIuKDLi804V5WKqb8O01PPZ9S6voelN8l0XsYiEsIAU3POXUcS5UVSZcNWXgjizUb3YvCBMkLpNQcZUjRL/919tOb3HORQQtg2g64K7g/vg3/9ufiz9/mfoQ3vInui3QZO/PQGQak46OGZ9Rc89aV7zylRY22r4OETYSCj8YUzwN7HfuPBb4vhc9nuZfz+Mc38Y9v4i/v8j+8jQ9n0X1M72O6Kwa7YrAvBIc8v4/8Vc5bx/4m8tbcWXKyZPigqUshMxFPF4Y04+g+sKDccRE6KYvA43XorkN3E3kprXLeKufBTm8ib5vztzkf/rQO3VXOm0XWMMJjjiZEATt0pQhzOTtVhYWUbZnigKjNCI9Cqx/gaWiDtAKahvY85y5iD9TMPHRWOQ8sjHXoLrk95RbIu0SyMNRlJoSPXiu8RAkFeOQTMHtngT3l1pQRuLUpd+Y86eiA85CYnxAsCfA8dBbHNUlt1Skj8Bhs2Hlgj3nSHzWnZIuMqZDt6+IwsmY+hmYKEKzdiAwja8atFdJXSN9YaMPgMqwZt1aBM+XWPHSGFPUDPMt7Uw+NpOwqKyyk7EgT2kSsu2qbmb2jCgEJ/pqm3JpyC25nyq0xJ8OADI7NPOkgILieMSewRGCogWs1pGRMrSl3ZoELbAAG3zTAqbGV3j6sGCzaLLC3lEyxMnG0ZewsYmcRWmvHnIqnK11eY21BtDGWR54+YuYwQP3AHEa4F6FOaE4CPPfNEVLaWO6CE8xQnyHQZLB3i8hNxdbv1h9mJAO6xjznw4NZ5HV9o0fNAcfQPN31taYttYjYj6wOR3VXbXga+NAQNx4GZBp+ZRIwdqcBXoTWMnJXOS/lkxlz5twFdk0XeZC2yb1y6F/PP0n9m8TFOdKcuzPmwJrPw2RAxSRw5r65ErNzXZqFZMHwwiezwF6w5K7ngQ2cnDIwFDHNuDWheBm5s8Ae+WgeOguGZzwhkOnzgMxCMj66XMAqqQUwDMiUkZltTDV5pisLF405aQcI2sT7AZ5Fzjp0Z0SfafI9Nuc5d5n3QZtOQxvMsmlog4ptRnjg6FNVGsvCQhL7ptyx1ZanQVJ2GBy11PFKYH1SmocOeJzpRb6OKg04hi0Y+WjCyIxbYx+NbH3J7XlgTxiZMBsSTFNqp2LtSGQRWoswcWCgLHoWkmXsLEJraCkrRZx6xjZylpE9x+oqm5kY0sZFS8scEHXEMGzxgOMONbrMbFK176pLzxya8shH/QAPAzIJrHlyjqwpt2aRs8x569Bd0683CyuQ+sRDbg8pgfldU0Z6IWkHaKzLY/l0oWSXpjyztbEpTcTToZodeBockHlgrwIHRPE29B5ydFvk2wK7j+l95G9z/jpOaBP4m8DfRHQT0fUxQLsIvBm3lpG7iv1Nnu5y3qOLt4q0FbJzx9xyB9zITeBuQ2+bY+vQh996yNGnQvBc5E8FBnNgn8+Dz2+iL+/iH78v/PRfxS/f5V/eRodz/lQItqG3jNxF5IJd1Weo5yegDy1PK1tizVOTLHNIltwGNbcr0H2Rfj4LvrwJfv02/uXbwiHvP+Z9UK/PRf5c5D+cBT9/X/z5XWFIUc0S1ro004QHRa2aX316RVE8xwVN73gupTTR9P/XcfQ9IYRSmtbep5r+rSiApp9iZYGUuqsOfPOn74pfzsOnAn0uMriI/Rk7nPPHvPdyEf7657Ofvy9+eRc/nfHdeQBqfhJYXd9oOnrN0Sq2UnHluq/1GRr5KI2BTDgaUwuGVMy5u4roJk8f8uwhz2Di/+e38fO7eH8RQpv+03ludx49xmwfs+ez3PNFfF/ku2Lww3m8vwifL6JfmP+I9JUuP1rmpugdzvkqoquIQnAepA9ItP1F7p/S81nuqRQdiuG+EOwLSdPgUyl6KAWTnNMNzWGAFq4xVYWJeDrRhBnRJ4ayEsW+Lg6x3goIJEGn1E5/K/3dGXOm1F4E3irwltRZUmfFXEhPLCN3xi3wA0Y+ApdoSNFrJNbXviYYuWOKZ4G9ydOHUrArsse8f1/kD6UA6L5ItwV/k/c2eW8ZO8vYWeWcdezfx/QhR7ehdx/8xtYBAl5f5iiMH1lyd2WTiSwPVHnqkQ11Z5E3DB3YOMiHLakz0pQ5Nte+swyTwT7j0F1E/ixwF5E/CRzAAZp6ZKzIi4w4l7MjTeoQpeFpLW4CBNYgJK+tsfTBMnJhB2eBOzlGZWGdUyAiyDvAG4b8azICtmAZ+tscu4/5gqIFRUuGN5GziZxFaC0jex078PQ1bXPufewdcv7KNWe2ts25j2d8V6AH7qw0aaHKG2KubDRCytgxhscBA31PazGtGejDgMw9PMVa39EHeScx+xgZUzwG/qd4QvGU2v+cuJMmU2aBC0+n3EnSCgwBP3R9re0qHarBtFeYDQChZsiADJg15vaU2jMfTz008/HMx2PfAFcpMS+YM4UIkO/Mw2SRx8eClSTL8Ir3XhNc1SLwVhHdxPwhHzwWwsdCuC/ldsUIHt8Xwk3MNzHf5oMttzaisDaUdexuI2fLnXXsb8Ov7LcO3W3o3Uf+Q47e59z72Hss0G3OXYc2/L/kZBM569BO6bcb561jf5On69gHcxa0BZg7E4qnlj7F2twxJ4z0QgImdZeZ09DeBO5MV/rZk5kmg7od+OYssFc5bx7YENWDfGI354xcPNXUsSLPJbmH1LartagBQyD6DKUGUKpyUlqH/jpMrm3KrTSSdDRV7Sl3IJ+45O6SuwvfHhGjb6pL6qxDfxV4q4iuAm/BnHXAFsxZBd4monBswYFZBc5D7N3H3n3sbfLeOnYfC/Qh9ua+eS9Lc0ffhe6uyO5dtBayY1188PDSwwOiDnwTjOYxJ32GeiHp+trYMdYeGerShCbG9IRiOFkL5sy5m1ytTaaaOrLNBXM2R5ELtzCn9pjbI59AUmDo4RY3G1QfadJMycyUzNSUR7Y6QhII1aGvjxiecmsROuvY35fCfSncFYOn89zjebQrBvuY7XL0Ic/ui/y+yB8LfF/KAcvdF8J1ji0CLzE0mbPM0VXsbwpsl+ePzH1A5qOqbVyyC/2nfHQo5val3P48f7goPL0pPpQSZ/KpEDwXw+ficdb7OU/p6SI4nPOHEr0v+o+Ruw6sBUvcg5GPhq4x8kzIlnZ9o+6qQA1PazNzygj4tLsie7kIf3ob//Jd/Pf/Xfrhbe5QYuDTwzidpwJ9KtAfv8398Dbu+sadLawMaa5LD4peNbV/qult1/E87ys+/R/+8Ic//OEPlmWleXrLwoqiyIaCJOGNkG3YaC/LU6xMNAE0/ZdvC18uoqczDi2Az0W+K7LDWXAfe/sS/+n70k/fFV4uwn2RrvN0FtjAKA1Hqdpy1VUqtlTz1C4zIYw89/CckjnYtq98mnnqejI0oeaMg+dhLyN3E3lgfC0id8rIkloPObrJ00XobCLvuRg+FvhjgX+2jRT6JQAAIABJREFU7ZUizuXsIzHWsfuQ91PfHVxnCNEvmAUssi0wsBDBvHjIs+ezHNBTKQJl/1SKns9yD3k2CaweR2OK51idSZmRdDpB8tg3xqa0zpyOZWFuqC1udjhpcQwiFRIEr2nNnceYbZg9I/rKJ5vABbv46Gv+3rebhw7Qa/d9ygiIiQkji8i9LwWHN9HTeQjziZ+PQwwP5/zpjB9KbF+k+xKHAcupBQP0ch6/nMfpXcPTl/P4vsg3ebqJvE3grqk1QepIkxamtqU2NE+CUdJjZEjJ3MZDSVwQdM/9Vc6bxu4k7y5iDzyzVc5bRC6oujm1F6Yxy4qQp+8SpeVpXWZCEm4a2v8YUIGni9BZBc4qcFLPPnErOR5zMmFk5uMFs1aBAysz5y6on/uYPxbCXT7cF6J9IVq5eO2Rh9CBM7wrsl2RQXnpvsRh3fYlfjg2wHwuBg/UmhjSlpLPZ+FLKXgOvY2pzhVpQ8ytZ42xOnHNoWeC1F4waxRavZw1Cq2lg2a6MiBqP7ImFI99NPJMaLZJnTAISCbRqTwFWsc+SKv5sUgFaBF4s8iBDM4wIP0AtzwNJMg4dgYhaft6khc7euGjwJmG9jywl9xeB9Y2craxs8nZ69gFgl9c5TwQjq8dRBBer33T9GlqsoC5sIzcTZ6Cs5IYx0fIK5BcMBfs+Tzcx/6DIj9a5v4ifCpFhzw/nEVPheC1YX0ohuBOvJSCH86jz2dhMkoMookJJ7N/Tnm+LwT7UvhY4KD5NoG7Cdwlt2fgELvmFGszok89NI7sEcPDyOpwNAmsXY5ubTxRpampjile5bxF6Gxz/mOB38fJKsG39QvO2EczXRkr4kISB4bUdbQuM6EuYcTwlJFVkFiooPNAwaeUcjIkLPosSV5MuQUhDYghb5i9cNFAE5cefioEh2L4kGeHs+hwFu3y4VMp3heC57Pc54v8y5v803mY8vDzebg/rhXoD4BJPSjawjb3EX2+iA/MexDlqSY/evY9c8aWPvZRKnym3JrknGlozz28852RJi38YwjHx6/99XlgL6m1RPpcElc+eQS4kwKHQCzswiJ0ltyG4cpjH0HR0gIpM+F0Kp6OdXFkq1NTXmSzM1EYEa1HzSFFY4oXobMtMJDVj2fh43l0yPN94O8D/zFmoJh3eb4rRl8ty5gDM8+YkwZCptxaBdbaQ2tDWSniWlM3xLxnzn3kr2MfzNBdMVrlvPuY3nN/TtAMm1tqP4QO5AUgwr/4HVG05GRCzQkjq9ifB/bY0uceXgXOlJERw/0AN3295igNT2v7+tAz56Gzjv37In15G/30XeGv/1X4+/8ugfXwdBY8n6fczh7z3k/fxV/e5bu+UbGFpSnPDGkn6zVdxbJoKGKq6ZlPKaWWYzOfEkJ+E723LItznubpofYeScLbbLblkidVnSFlKJ5UXaXj6c/v4peL8HDO92dsV2S7An0s0N15sMo524L/w7v857fx/ow9xO4i8oF3u75Rs6SqLdd97c6RW9QYBmQROitmLz28YvYm8tZ5mprnm1QGRdYqJGkYah6QZeTeR/594K49soidVd7d5tx16AJTLrl9H7gLn8w9vFWU8enJXMw82fi+SHdFdp9zH2LvMe9D+n8bOUDg6K/A6qTOirkb6m6ZN3HNOSWpaQzR9W3OX3NnTPGI4YVPlpoyOvlmLGfWFA+ZOjCyq2/+cyadrg0FapE6Id6ENuR4IMHzEHsADfBUYD9dxA/cnmLlPrAfC3QZ2fOcDZ4riPskPBXT+5im4amvmi9wweJZRO4y561if1uij2cc9FOijYrs2JrJn4vsuUCfi+FTITjk+T5mjzF7LPDDWbw/z+/yHOgxZo8xS5/uiuyQp4ecf8jT+9ib++bclDeafM/JLEdGOTLhaMzMHkc9ak4tfSpkHzF65v4+9jd5775IH/PeLnLu8+5DwXvI+8vYmYVkFThrBy9kaZHNTlRpQNSOpw84nofOMuetct5Dnj0W+K4YPBY42F5ghwG+077IHmJvHdpQCjAKk2qAOUUrH20YeQidbeSsQxvKPgBoEawfiMUtiLGy0QN3QdPvi+wh7++KbFvwoc8VND2k4h7z/pezeE/dsSysifk5H37OhwfmLU1tqaj3lrXjdGahBXNmzFnFbBH5D9xd5rxJ3l1E7gN1thZa+WRZYgAA8TpnlOYRlpG9Lfi78+DwJnp6mzu8ifYX4fN5uCvQ1xwLnDzPuRBah/myDU+rukqD6qMQD7gJmV0oTuwzYxigUYinIVmE1jayH/Pe0xl9umCHc3p4y/dv2P4i2F8Eu/PgocTWsb84CjX4ufujX7jNub+zveB0rAIH0gHLyN7m3Ie8n27TY955zDu7grsvevu8s887T0Xvhwu+Ce2VmN0ibXceHYrhLkcTFy3PQUl/Psu9lIJDngKW1+ezcB/7u5y3j30A0ny5iJ7OgsczDnPEElutQIFeStHns9zzWW5fCh9jBoGrB+7eB+46dOehM6dkYZtzrC+9JB0wybugnnd5/hSxjUtWPtmG9PksfyjmHuPgIR9sYr4pBIuYgq88LDkTjhZImSjZlZgdaULf0UcMj3L2OLKn3FpzB6LNqTsBjJ1QzO5jvonoIvKnxwmV09CeRQ6kIVaBtQnt+8Dehe6WkhlSnovs53f5l4soDfA+5v1k7spZ8HTGdyV6n3fv8+5j0X+6CGCcKvDwQ+wd8vQ5z54i/0nVF8TYB/7Lm/xzQEHT73znENKlgxY+WXNnzZ1NaC9Ca5V313m65c4z92e6sg29Zc67L/Jtzl/GThIsjOxFaN0H9qOL96a+j7yXAn86CyCTnfLPJrS33JpF1jTAMy8pUVxjdXF6MhNOJ4Y084wVNjYZYZnJjjQJspZDiqbcSkeqr/N0m2Nb3723rHvL2lB3E9FN4N9Tb8HwkpN1aL/iWBek7mOBbvLetuDtz9g+526ItlKEVTazVqWNbaw4mXE8ZuaE4gWz1qG7y/MNdYeqPFCke9/eR96WW/eBC1PrV8yGJYJc/pKTdexOAzyPrN15tIm8CdGWDnrI0QWz5qEzy3s9juqu2vT1lqd1HW3E8Cyw17H7dBF8eRf/9C765bv4vugDMx+O+O/P58G+SH/9Pv/lXdzx1LKVXRgSaPq6of1TTU9sK+RBoumhHO9//a//5boudNkx5juOpaoyVOS9EbItl7zo5tRUx7LQ46htKfuL3Mu3xW2R797GD2fhQynYl3L7QnQfsTV37iN/Vwy2BTbj1jR0uxQ3Gar7RtVWm7bSdpWWJ08Ca07Jxrd2vrO18S70t6F3eBM/xgHQPmYQMHkpRc/FBCvvIe8/FuihGO5Cf2vje2zuY3bI8+diEsnfFtg+Zj8Uoi23VkTb6spWke6R9sjsx7z/fBGlzisE4YEOxfD5In7Is4dS8HgWQsBwF/orG7W10w0jD6E38zFE0SeMgFCecmtC8chSRpowljMTTZgh5V6WVtnMRDgZ6/LIM9Ps5irwtjkGDRVPZ8FTKfp8lvvhPH46z+1C/0vAtsgYquKG2feRv2E2CALwbEDvwmqAu7MrBhCWP5xFz8VwH1FQhCmcIER7Xkr8hwv+49vw529zP74N//Z96ee38d//6+znt/Gv785+flf68rb4fBE/necgPXHI8+eLOKWn89zhLIJY2bbAQCcdiuEhzw8hfw740jC23Hks8PtSsIjcOSUPObpw0SZw1wjNDf0hoE/n+d1Z/HSefyrFL8U4Wf+zaFtgSTjOIzNZnGdOxrrYxELd17oRmQTWNufvcnR/kXs6z72UoqdCACr/UAxfStEPxfyX8+KX8+K+EK1Df8ndTeDfR2yb81OrKA3MPOTZpsQ3efqQo/tCkCR9Cvw+8ke2umT4pRR8ucgdzoL9RfjyJvdUYPsi/XIR/fpt4ddvCz9f5H68iL6chz+ch3+/KPx4njto6r0sfQ79H86jdew+aMpSkR8t/CUOVy5ecwcU1aEY3sf0kOePMdsW2HM+eEDmzrN35xEs7GOBP5Wil0K4j9lDns0CexXRdY5t8hTyULtiEv1+jFkaT0ozSuDSzQN74JuDkPQjq0H1qqu0qDGMrLavN121RQ0o7xoGZJ5zpwFe5RwYaQWstX8lTeCIbSJndSxluo98+OnfHZn0AlL+fMjRhxxdg2FaTBTYIc9fStGP5/mf3uR+fZv/27f5X97lID75t2+LP+XozjJ2jvn/vS3+9W3xucghWpZo/WLweBbuzoOn8/Dnd/m/f1f6+9vC/8/Ymz+5bWXpglwzZbvKSy1tV5eVSWIHCGLHvdgXMlOyq7vfm5iYiYn3ul95kyVZUio37sQOMjMlV3dHvIj5f+eHC0KUZFeP4oYikwmSwMXF+c75znfO/ZtvrkR2KTBbR78bWXcndjEyVpaE+Kp3RuEDtHrRbK8dHRFCkQty21zYYOaClamvBGHJcktRmEFl7cO5rSLubWkoqWdsR05saTnUChtufAt5IXlgoVtcmiBywczVJrowHTBTmryg8Gcs/nJIvzCGzyzhpc5fAWFqKUtXL1wDEWb7E4h+Xro6Im+QPAgtgLUPF6a2tkBsaRFUUl3JVTkacPM+VijqDdBLQ78d2eVDNwrNbOzlgVeeuFloZaFVhDba6rQMjJux/erUuTt1Xj/0Xj/07k6d1w/cn0/du5FVDrglicdAykIjgTIyX5mpLl19qYmZruRQSx2w9syFDTLfTnwrM+EGgAXH5baZuGbm27ltlq4djZ2Va6yAOjfU6YC77uNrTanskgfRZSLblfhG6oDYAXNbvTTESkuv8y9k9mxITClsiWNX+PGE7C+w/gV29JzHkX7opcIh0usK8BNLvDaFS1ueSoMVy1z1e2tNeqlw11BcQLlet7UJRaNwAaI6MlsrA2Pt61OJnfaPp/3+lMDX0jCy9bmjLT2QBmbuwKWrb0ywCe2Zra6lwZ2pFyNzFYLU13cD1JiSelYagqUtxW7l1pSBESvDJUMnmlx65sJUJqZ8AYVzU3wKBt9r9I8y8UxjLiGPkoarQFs/MJK/OAsoJz5IRsYqBKsQrAJ95Wmxr/3HP422nvGTRH+r0Rdkb00Smx7z44D9Ne09AKCqsut2u41G4w9/+ANCek1TUExPkjjOEDxNjPu974dsQlCXHDVhqe9U6nsBT0bWzamfubD0zI0Fb2wDJdRXprqA8grKa0NZAula4V/owiOFrRpEiNSPEvMMDJ5D7kwbIFSeCtxU4HIHJr4Rj6waXTLfRA57xT87WuWuhkYeGgiGZwMGufm5o8eWsmsrCNDuO4shsyTxBYFFQzY1lMTT85G5z1Tvjzw0IldLAxiHcGUrsavljr5U+HMOX+lCZoO1pc1sdWIrV1C8UvlKWQMEFN2+xI9e4kfnVG+G9a6x4wuydzGkX6oDJEg+N8WVDdaOnriwjnIK39yEduKDxFa3npFq4iXVn4ls6miRU6kR9yUCyOnJXJgHVhZaUWAgMMh8cxPaaNIQI5qHRhbAwgeb0Hj1tfvqof3q1MosBe2PdDu2bsbW3al7e+KUYwut+8jVkLNfU+U11VYFbbaMHGSEuxvf2rjmjGeXmpj5Zhya68CIPViE9spUYwfkUIt0ObV0hHOpZ8QOQHxj7IDYgwtHmyDSQhUuSOyyd/+C7j/m+48U+ifIn5ti5ILMhWu/gvYyqBZG6hmZC7Md9iBWdmmp1bd4EBn3eiBuMw3MyNbXhrKCVd43MbXC0NfSIFfFW1O/cWHi6WtfX3nawpRSXy/H5qsHLgL7nx96yEq+CqybsZ1x7ILACqjcjZ3Y0xOGnpJEJAu3gbOC8trS0I3LfDMNzMI3U8+IAqNwjRXHRrIQh2bmm1loxQ7IPaP0zNQBkQvmjrawwS7g0yK31pyatc3ap7WL0K6RHlUJ/6DS30skUvU/VujHCo1ETyiJfg6GM0deumoawCy0Mt9ESzHe2wa7xvuVrawdFQXW+09KncOqsap+MXFhHJpoo+o0qP6KPNqNC7eOfhuar06t24f2zQNnGxqFqc4ZfMlTd75xG1ixpUS2vrTUtaPHDohcsHC0uS3Hnr45sX5+6P3HV0GqCdcMtpTY16H1n1+Hrx96eQhnxjAJ9MTT3hmZq6GVXLNBSMabhdZ25CQjKzl1itBONXnB0EuRL9BKdvQpEBemsra0yNbLwEodsJaFhTDIHbgdOfsu18Y108Bc+OAKCFcD+prEL0jsjMHPeOoZGPxkDs/BcGEqiFUuHaOet/1bWbk1O9aq5rGq1YscAhssFeGKxi6xo2vs+BrH5jQ15+klEGaWNDHlhaOtrSrFVj2/lryy5MTT89C4O3VuHji3D93bh+721H71wP33r4O/PfDSATsjsUgX89BIDSWiyEnvaA3ExAdrIOaGUpog9Yw4NNc+zEd27MHM1EtdnbBUZgP0bKaWnmry0tUTv/JZl4owI4kMqPnIROYl8QHaCw2lWrIApgFc+3BqKUiEiNTHZxp7yRETsn/ev3+BHU3w3jlxfCbTKIWB/r8CwrnKovqsuSHPh9yKZSYEntkASZSSnW/6jlucekbhAlQOhpA+HZsRlGKWXmD4nCITVco9Y+WBpQdSz8hM/VrhM0XahPY6MFIg3VkgD431W25llZOqPODQiF0t211mEdo51JYsk2ryNrAjFyw9gDZ/eQ75H3X2e41+pJLPFfpK5SIolZa2tfQ7CyxdPfb01FJzQ9nY+saFuQdiX7v7i5+5+iOJ/EanLxlsxVI5xnzDUb+G9LquV3n6TqfTaDS++OILWZYVRQFA0zSF57l3kD7CiAuWvGbIbxXyuyG28sDmxC58uA3MjQfuXFie2Imnz8DwWqAvefKapyZDejKkn8oc2vXhW5n9QeZ+UgZnQHxpCOdgEIcwdbQLFp9LXBkYaQBXuw160TQlQeU3JZ5WuKDwYZ2fS2w9NtTE1LIAbgMzNZSlwie2WozM1Aepo5UOWPHMHO8vsH4iDgoXIBfpnbT0mxA/gKgmMA1g7GqFDwsXLBX+ksGWErex9W1gp4G52rn8KFM+MaSpzk8G5Hn//tnxn8+J46oSdEgiYepzyKP9DKp8oacnnha7auyqdfAduVoxtnJHn9L4giU3LowCsB9F7fMQZWCVgZWP7HRsx6EZBRWYVVsj+HsrD+V4QpDYSmrKl1TvgjyeivRcGyxNca7xc42f6vy1NrhSuQuNu9C4K5WrBQGV8G1XpzA1hbktrWwF5fw2oVm44JIjVtKw9Ex0DnlglYGFcnKZraWWmkB5qfARlBArg/gYdAtWHkAC3ak0OCf6V/2jl+TxU7b3RGWe6Ny5KcahWQYWwvvSM8vAqvEj94xq9nyAqNq4EsS+i+71KHwzd2BiaiizczGkLyj8CusvcSylqYxjM0UoXJCPzGRkJCMj8lTUibrOehQ+SH09dbR8ZCYcM+0fR+rwdmSnAUxp6hLvr6XhXehGpoqYm2qlBWaOTHlo5g6c09RaGqKYNQ+syFRTSy/8Cunj0ERSo8jVEImFNrZ6P4BGhEEeWJELpqb8UuefgcFPkH+kVEj/WKF/lKkfVQal559p3AuVOwfDhaeu/WqdVylzT489PXN1lAivFxJaS+88JnWE9IvuMmJr0Hgn9J8LzGRALiU2tZXYVeemMNf4ucRdE8eXxNFcoFe6MFMHU02YAvFaG850cW7IE1240LiZJaHbsR2ZW0efDanrIZlZyiaAm9AoRgaSAyMNSm0xENKjnAIadW3LytbSAK5DsA5BHhqZLl0TvWsGLx1QjJ3Yg0tLRacd2Tpa1ZHMn1O9GEivTtzKCgUw9vTSM5ORNQ/hBRReDshLvH+NY9ckfs5TP+ncU4O/gmLkgmRkJb6RW+Adx+gdc7T/K5q9PLCQ7557YA3EKU/NBlQkcBfY0RXRmwvMXBtcGcMrU7gCwtx488BWiU4wnEFhYUpXGnulsRMwmIDBtc7N4TC25NiUVgN6QvZjTSh8WJhqzNKX2NFc47MArKGQQDmztdQHyciIApCFRuRquaXlqnjN4ImpoPxgAuUVRczUQR4aCZK5AGlJ4rkqbk+dNIAVFxvAOq5Y+zpKuCxd/QqKaNecc1v6yeafi+QF3T/D7p/371/hx2dU76XGIvEK0kksLXVhSkhtEKnDJUctaGJCYZmrxyHMR2bqaLUr9j7SoxNASF+e2Lmjl+JwgeFLksxVufTMtQ+Xrh47IIHqS5ZYc+zGNdMHduGCrVNJQ/Zi+rdHbYdDY+3DPLBKx5gx1GLIFLYeOyAKDJQkegH4Jzr3GHCPFPo7kUBdcqemOIfCTB1cyFzkqJvQvAmt28DaekZma4mt3PzFj2z9O5H4V4284LAlR6U4828c/l8jPdq19ne/+x3a3k7XVV1XeZ5D7D1HYidY/7E8zCgGtYh5rrCPOWymDmNLWTnyKtAWnjJzhLuRFUPxiifOqB4aL+n+SxZ7KuDfDXvficSPKvOTyqJCkQt9uPa1PISJJV9zeGEqN4GReFrsV844wsLYVSNHQSN39MIFqaMldpX8ywK4PfFiV8tsba3wK5HLHb0cW7Gnr23lxoVrnpn3e0scyxRh4xuJD6IAoPfWtqweubczbT5ASJ/Z2lzizvv3pzRe6vKNb2a+GQUG8vrntopqombq4JojLvr3L/r3pxR2iR+fc/gLhUZinBeAR2Ld2EGfD/IQvpHFeXrqg6WvrUKQe2DJkGua3HrGwlP3T3L/nG8DK4HyXOMXhojWU029/vIYwcTTbj245Kk5R2RQii0lHZuxtetVYCtLV1266srTVp42s6S5LaOUG3q9+qsjx75W7a3ka1kAElt9QffWQ3brGfUJxJaCIkKUC0yBNOfpRBW2noEiZuR/FCMzDeDCUSY6f8mTyEN6iR89o4+fyVX9ydqHhW9WFSaOnrl64oM4hFkAy6DKztaCo/om/to8ZLaW2Rr6kJWnzcBwztNzCl+TREwSKwJf80xma+ivUQAQL4LmFg3EeawddR2CNUdf9Y+WErfxjdQHKU1dYEcLkb0NrLUhodRp5KgxIpkcLfH0OISZrc1oPFaG6dhMPD139IU8WKnDwodo0mrZWn3T0X3f997e+VMamAtHu4DCc8g/BYNHCv2DTD0Fgx9lCuUCEXX/k8q+1PmJKS89UPXZ3pOzJb6BYL7wIdK+1eP9Ffj3x/6c16/Erhapw5XIJbpYejALDfQk5o6eK8Mpg51TvaU2RKsxcgHS2yYuXNnKzJJQAn7lyFkAckefiMxEZDJb24RmupNQIKovf1v3l3sAkYIVL1j3FQ8NhPQLT019sLH1OUtOabw0VITfkaOij0IBcebqJZCuGSxS+duxtQmNPIRIpZQ6WhSAqa++1LkXbP8CO5r2jxdY/2JAvFCZ55C7hsPYrTYpKS1tf6Le8qh+ZT5RgIjOJHO1TQC3PiwcbTYgF0M6s5TYVZe+ugrB1BTf1Ca4KtJXzixpaopI+VE/44izLHyYufqUIydkP9XE0oOFqUYD5oroTXW+8MFS52NTSh018bQ0BBU2u1rhglgZIqTPArjxjUgdrnq9yZAuAyPx9HUIMlNd4lg0ZFF4Vgm5vAoIE09feOrK05CnvjCVC314BocvHfmxIzxVmMpnwvrXOPaS6F+ILIo6roCwtNTEN/LQ2I6swocxR60ZYs1Rc56KHGXlqVkAsp1k4Z01iejeilSwtcIFKMRKhcGsdzzH+7kibFyIgofM1TNTnbBUhJO5oSSnVhbAEimWfPA+gVQhl1fRlmlgrjyQ+EbpmVc0sR6yGxfmobE5dZCRmdjKhSW90IUnCvedTH+vUD+qzDONey7SzzliPuQiU14F+jTUZiN9FeiRo6amfPvQiw31kUD8q4xfMv0FjRc4/e2AHJL4LyK9pmlvuuE2m83Dw0MI4Vv709MkRuMDCj/FMYT0lxx1RRMvBuQz/PiaIZcCu9aHmatlAcgCbc1Rcwa/ZvDJgLzkyecD7CmLPWWxpwL2/fD4kYT9pNMvNeZSYZFWYhMadyf2jQuWAnNj63e+kbsaSq2hUYvI0EhsPXPfRB7IfCDt7kodzgbUWhpsXLgJUbMh7cYG0YBZ4tiaJktd3gbm30f6zH1jmDJXR0i/1IYzGp8S/TXPFKaaeyALrWLsINIYSZamCnfN4Bf9+1f9ozmFX9D9F0PiqUY/gYOfIH8Bhakpr2ytrsIsRkYe6gjvEfmzDsEq0HNHX7FUzNJbz1j42vtIj1555ZmRzF/Q/YsBEUGpDAykufs1S7HytNjVtp6xlgZzns4tLXLU7MTK3g7p1n41aoFuhaC7kXhKcQLTUKuRPnXUiyGx5KitU0Fs7oHYUna8nI74wNmAimR+6xmpDyqk93azHcClKV3z1CV+fI0dX+LHL8jjFxLzk8490bmZrWYurKRztha7WqWH90Hl9llqYqsolN+Zwnfv7P7UIXOzDsF6BKMA5Ja2hWok8yuemdL4AuVNXG1pybWhT/dmA81YHMJloK8G9IzEIpnPHT3x9IJjr4jeSuRufHMFxbWtoK/OPZAGEJ1kMjIyW1uwZKZL2YmVeHoC5QlLLEQWla6sHRXlXH7pPur7GLY/itBe+/Daks/g8CfIP9bYRwr9WGNRGQ9K0iMpEyq/jIIdg+qi7pvoRpv76I4eNDTeR+565fziPO/XHNcQFTlqCqREF1NDQewF8qVKD76ywGxAXXJE6mjl2EIcL3rX5sRGfC8qrF07ahrA2FKmCrdQ+dKDtycOknqtHTX5pXnLvZ2/tZeYqMgSxPChZJ8D1tJgwVGFJqHjka9Wv2sOhdWAmtD9hcikplwiyZur5iFEy3LuKucq+4LtX+LH0/7xond8xeIvFPoF4KZgGFsKespK5z2zs7uPv2aX9hwmLQvAzdjajszc1RJdiIBQ+iDxtGgE01NrZSvIfUcPYBSAip0KQBpApOusBJ67yYkt5YrFpxRW6nLpwcxUY4Gb0vgaiDeuttK42BazoPrqJND9htsEAAAgAElEQVSjQI9crfRgJPOTAZnYKrqJK5GL+9gSUbM+WI9g7ugripjReASlzNXLwMgCWN+I3ANrX4v9yolZ2dolEJ7rgxfG8Kk1fKqxZzx1jWMzDLvGsZd475qlUF+TayiubK1KU3ogNuQ13o9oIleGqSmnvr52ldTX81+08Oh58SFSKxe2njs6IgCiATPv9xYElisCslSRqxU+3LgwkvkYx1OJX/s68k0jT91nj94ZyS5Bmfgou6qXDpiwRKYObwJjExp3X/nbUycfmQtPvbZE1Hv7J2Xwk8Q+58lLmpgS+KqPz0hiztPXEnMNh9HY2HzlbUIzs5Tc0tbS8OmA+quET+j+Au+VOP39gNpHekWS95GeZdk3fe8bjQZi70VxqOvqcDggSRwh/bjf+3ZAL4/75wwx59mfOPwF2b/C+rPe8ax3vCCwFY0vif4lfnzN4DNxMNWElwr3RKB/FOgnCvdUpL4X+j8oxBNAv9Doc5WdQWHhKKmj/u0r/99P3JXIxgq/8UDhIxENROMtFtE3kTwtdQBSjSa2irSmmanOeXrGEMgtRe8qA2Nr6dGAWZNEwjEboGwDExm1//KJSn1Q+LAMjNwDqaNtVGnJkDMaT1QBsT1FaOeekbhwZWtzQ54q3IQlrrHjy979a+z4nMGei+QTwDyBgxeAn0FpZWsrD6Sese8J1nsUZjseNYPyiqWiIVt6MB4bv4bctw5MgbSSByt1mFpq6VVx2Dsm+A2Qh2YeWNvATIG0kAe5o0euhmrw9mOgKm0R/qrHkPvq7amZh3qN9FkAlmB4hR8nuojI+TIwUkfLApiPzAjtwGipkwE5F5jC1hFMJra61IYTkVlBcROamatPeeoSO0ICnHPi+Eyg0dbXV6aE9BO1Z4DsfmwpkTqMxcFK5NYKn5jK/mr5RRxC70W+/CrQl4G+9LXIUXNLS0xlIQ/mArMGYjEy85GZBXATvhGBIvcirqHrxFp4KmJfYmWY2Vrs6eWQn5FYLHA3Llyo/NqQ0IoqfFgjfRzC2JAXLJkDORkZuQcidTgh+0uBfbNthAcyV3v/biaelu6CYzTeWK7QTnxjYspncIga4qLqnW8FHAX3Z6aAujMh5jP2ELSA1FETW0FZpMh91yt6J6b//z/q1Vg/Vgg4N76BBqqAjUNYjq2NC1OJv2bwucTloZGFBhKH18E0AkgUZ6MK3u3ISh1tbUiJrdYUDjrg/Ucb3cR3fBTkeUSVXwVzD6SWulT4ucCkmlhjfH3yiadPdX7KYHOOiFQ+s5TSB6mjrg1xs3MHl6Z0JdJnVO+K6E37x7Oj+1dE71ykznVuDoXEVtGFVAzQL4HQO4C0P5+7IMHIAhA5SmIruaffjOAmgKUPIkdd+3oyMmJLWSuDpc6j1qWxpyOkT6qsFlj7OpI3Ilas9GBiKlc0NqfwG6hWRQ3iYM4QiS7emPJKZmJbzEOI+qYgPf/a17eBuZS4ucBkrp6HRm5pc5aMSWKlC2jSloGe2Vo0YC6p/lLicku7Ca1NaCZ1ksitOq3lIUQCqYkhXejDl7pwZgrPwOClyFzi/Umvd03i50R/RpFX8mBuyHNbrbqDOGrm6ompzLHjBY1nungzMlFd9y5985aH+iah6QGUhti4sEb6JUMusP6CwDJ5WOl1HDX3wMaFGZQTDE84ZmXJqaMVnl7FOb+G9Pv6Vk9H/TbmDLE1pFdjezsy777ytqdOMTIXjnJlDM8UHnXzfaowT4fkTxx+xhGXHHXeP57R+JIh0wF7oyt3Fkh08XJILDhqRhLPWPI7kZgz+Bw7LnH6O478RaRXdU1VVRzH32jvG40GSZKqqkqSgGL695H+kqOWwuBb+ugp3T8nsQVDF4r8yjZfO1ahKS8V7lwTzoD4ROe/l7lvJOY7hf8RSI/k4TcS863G/mgKT3TumcZdmcrCNyJX+/mfRq9PPdQ2tQyMYmzFYaXoQRnotQ+XnrHyzZVvrgMjCozYAZmt5Y6eO3ruge3IKnV5SuMLjiotDYW2ZWBsfGNr6asBvSLwmKU3QNn4Rv30/h0qsl4WlaUIjVtDjQb0lMJiZXgTWuXYyj1QerDS6OnitUBfM/iE7COwvxgQZyrzzBw8h/yFxi90ETVyKgMLcdFvqJ4dg5o7egGVNc8sOSrRxczVk5GB3J23zs0HiQ9yRy+9t6qKd1yTlu9dYOoDlPGNPZgHVuqA2NLmGo/45ygAKBKKXQ3VL+1zrfujhpbS135+6N2MrdTXY1et3HxbvSb7a4XPPbCyZITKyPIuXTVytdTRJiIzGdKZrSHKNDbkmchec8RS4beBmVvalCMR0s8p/BI7ejkgXxjDx4C7NMRy5CDhRebqWQCLsZUFcKULswG1wPpzvL/kqEyXSgf8HVYDXQiq+EK0fx3obEfWNjDXmhCpw8LWUU6hcvW8CrHQadezWozMmSUtSXxF4JHMZ7YWBaAQ+CWOxTx7Y2gzkV3pAoprkQuFkH7t6xGUlhxVQGXt64UPVyI3wXuxOMh3jDrS/Ce73DwS9KUBTIK3gGd/JaeeEbkANaA8M4WfIP+jyjySyBrp60KvayjODTmy9cKHm9AoAi3zlGrNuLAuSd+3jH9nSv8+3r9Jmrg6WmCIriuDql4gcrXC0wtTmTPEFY2lllqOrVolU3WAeO8bi5GJGKzM1XNHRz+gKLwmXd5B+uy912NXW9tK6cHc0QtbL1yQuXpsKQmUC1Ot+LwAooWHyPPIUbdQXUuDwlRvA2sbmKUHCxfchFYxMnNHXyv8FY1d4scTsj/Be9f3v7zGji8F6grwsaWUQRVb/51V+mtIX187yj7ElpI66jY0/vZ18PqhV/gQhY+pD2IgzRhiLtCFo+WeHjkKshiRo2auXkssUUi98Y3C1hNdnFLYmiQQ0keuFivDBU0k4qBQBrMBuTbELACJreSulqPaxQBsQnMhskuFRxOVQPma7C8IbG1IaH0ufS2x1UIVLzliypGJLm5ciGKSjW9sA7N0QOmq29DYjkzk3qFmRJeaeA6GZ6bwQuVeEv3Lfu+CJc8obEYSZzw11YSZpSCkjz29GJmFD6MhizzFwgVVeIbkO/tKl72ZREifj8yNC3NLy0IjdbQ5Q8yw3hzvZ/Jw48LY1ZaWnHh64YKVLkS9fkpTqaFsPLAJYBTobyP97k4hKYAPkAeZeFoxMjJXWwzpBY2/DuB/fu3fPrRf/3N4+9DdnNiodSwq1X4GBj/q7Lca/VeN+kYn/wqpM5mdKtycp+d4f0XgEUNNafycOJrgvUmv95wmHknkkiPn2HGOUd9w2N9B+i+//LLRbDRQQN9ut//85z8DAHRdNU0oyyLHMSRHDRnyAYEj9n4qcCuR/0Ekng7JZyx+JQ/SsV3+y3j1lfvU4J868iNL+Fbn/6fC/A+Z/Z8K968K/2/y4BtZ/ldF+MaQHznaI0N8rA3PDO3CNbMH9u0/hcXYmur8pcxsH7jl115yaiWnTnLqJafe+sRdjuxF6CxH7mLsrkdmPLLykb0dOXehvfUMBPapNJiQvbXAbP0q/10GsLTUraUvOWqG9dY0WWjSxoVVuvRXUtpVbwBXRV5hJQ4IYa4MVwNqzhCJKtyEVhbA1NFuQiu19MhUJ+rwYkBcUv0phU2J/lX/6FKgLsDgpSuem+JEHS4VYWkoC1e/Gbs3Y3dzYm9O7HJcdbNJfJAEegalbMhO+vcXAzJz1LUtr13l/YiqLhTOQgNJY+a2jAqvkxMT1dTth7ZIqR47oAirfhorW0NEdD4yY9TgydffyZLsM7f7425k/ec/jV4/9DahkXha5KiJp6eOlkh8AuVybC0tGSn1Ek/PwqouoAjtFZQn8iB1QB5YiQtTQ4k1YSlxGZRvAys1lBlDTIn+FX68ZMiL/v0zBn9piU/g4NwU7x6G5YmNeD9EFaQ+WCr8hMKW93uL4/6apnNVLh0DsSyx96uWFNFx28Dc+EbsalWAeOoUproYMkuBLS0NsegJsrZ2VcC9j/TI/Zob4hLHljgWi4PCBenYzKVhRODpgL01tLnArHThTVweVjxHFIAIStGQ3Vp6HMLcA4shM8f7qcSnjoZyltkuy/O2uq2qNylGZjm20BIqRiaKTWMHIPLzBeBRJ9cnKvODSHwrEaiFDuoNfKEPUXFwYuub0Hx16tydmDcjeDO2bsZ2Edq1KLpOkex7jftR0TtY/necgLrdTeFDpI1HNBKKdTJHLQ3lmuxfUn2UBFk7KhL2Zq6OkuXIW0LuQuX7OlrugcRWE1NBFqDOBL2DkXU2pxY31D/Hrrb1rEgRV9IwNlRUuZrZoDD01NHQgt+OLITxxcjcnNj/7ttTjlxKXOkAlOLd+Ebu6HloZKa64plL7AgpdaYUdtm7P+/3JkN6boiFD+/GTnZirX0d+Xz7k/n3PSrkhKG63MrhDgzkZ9w8cO5OncRWUclf7hkpkK7w4ylHlJZa+iCxlerDHa30IFowye4BL2w9g/JSYOcUHpPEDVTz0Fj7eqwJCwKLGKoYctcMtjbEPISprRS2Xnow8fQoMDahPR9yK1XchHbqGZEuX2H9axJHJQOZb64DI3XAK9ucSoNrqrcUmAxKmaOWPrg7se9G1o0LXofG3x44rx96+dhYOMrEkK614bUinGv8c7TTD42dk9jLIf2Cxq6x/jlPXSv8pT6c2erKh3EIi7GV+mBr6VcD8iWLrQ0JOX+Im3w/oE93NFsUgGJkblyYmSpyxKcUNsF7U6KfycMqz+ioyOOfyOzi6Cin6dLSXgXm7diKkdkM4W4YtfQvD5xiZJZj8/bELkbG7UN3E+hzDlsz2Csf/O0rd3tq3v3F35xYeWigRqXntoRojKca+1Rjn6jUE5V6pJLfqdQTwDzTmAuNyx39b2P3b655o8tToj/t918w5HcisRiQE/w4Jel/4/8e0n/xxRdvkL7ZbH7yySc4jouiyPM8SZL/ePyn+19+wfzjn8wvj/4Zo/6V4L7pMd98if93qvff8d4/9+5//eWfxp//wf79Z9pnv5U//Uj89CPx04+kz34jfvqR8MmHw48/GH78gfDJh8KnH0uffaL8/jPtd59pn36qf/wJ/PQz87PfmX/42P7DJ9bvPzY++w38+EPjk4+8330y+offB198Gv7ps+CLT71/+Nj5h9+6n3/sfv6x/cffWJ98cPKn3/9fLP4DkC48uAqtNICFD5aGMuPZ5YBNoJyeWqsHRnQCy7F544LZkDoj7k8GRGrKWQDiEEQjEI+NeGwkJ2Y8NqIRjEYQvRI5UurrxYm5OXWKB1429tKTID0Jlgp/MaDOWOpKkWY2vHbgha2eu9oLwP+ksj+K5Pds7xvq/rfk/W/J+99TR99z7GN5+ESTHqviU3V4rstzByS+VX798PV//6f/+D//8h//7eTnr93XD2xUu3UzMldgeMFh5wNsofNpCNJTc/3AuDqB1zZ/e6IlNpcEcnxirkIjHduxp29HVmlpG1svXIDIxv1Q7x0rjLoIb8IqCtm4cBuYN6G166jzJl1S5WjfFjTVWdvyxC7G1s9fBRsXJqrw88hJbHViCAmU0WfW6id0SktX3YTmjQtjTVjIg8iUUU6kGJnbkXU7sm89IwfyeshOKOwKP14QGBLlnfHUORi+MIZTRy0eeLdf+eiRTv3KZ18DcSqxC5ZccNRS4hIoo7qMinDey0q85dgFehqCzYl188Apx2bsqrElZ64WK+KUJtcDroBaYioooKzz0+9b3jIwlgI76R0tCAwljFCC8xo7jgTuZ1FKcWIFxTSAG99YBfo6BIirLz24kAfICcgCeGvqUxqf0vhK4xNPSwJ17Uq5X6cA1dRXs0DLQ1iMrc2pd/eVd/vQvXng3j70UKov8821paFNt85V9lwdXBvSORj+KFM/yMx3Mv1IYZ/rA1QLilrtXgN5ZaqJp9+M7Z+/8n/+2v35K//uK+/2oVeMrWJsIeVarZUpfVAGsAxgEWjolJIAKTl2bZf2aplQwXoNpYmtInhG3tXSVWNPLwNjE5rFyLgdWzcuyJXhAusv5EHkgtIzSw/xedWt3E/u5mGlR4ktJUI9WCwZyTUST68t+y8g5cjId42SysC4PXE2J3bqg21gXon0EscKTboNrDvfXI8g6qqUeHo+MouxFTlq7oFtYKaWuuaZOUOseCbVxBzIKZBiZbgSuZilF0NmQvYv+vefD7Azpn/VP0Ik3xWLryw5P7VvHno3D1y0RJP3AnfEq68dNQ8rumLjG6UHa2+jfgz3nHh4O7K3Iyty1JWtpD4oPZgDeUJhcwq/sUHu6WkI8rGRuXrhm4VXKR4qiHK1GxfcWWDOEGuanDNEBuWNbxQuiDVhSmERRSYEMSOx3NLSAC4tGXmZiadHI7g5sWdDOhK4Upc3QImG7JzCM4bO1OF2ZK58OQrVLNAKH+SulnHsnCGmPJVA+dXI+fnEe3XivnrgvX7ov37o3526eWhEjjqDAioCOte5mSVN5MEzsveSxi95+gWLP6buTyhsKnBTIE8tsPSMlQfmtjR3xc2JlUFpTmHLAZ0FMB4bK1vJHb1an169INXY17IRLNxKp1mXN2+hOqWweb83w3q5KpYenNtyFIDtqRMbMiIa19Igt7SfH/gor1czxHXqs5LyhMbmxCjHsDiB21Pz7oF1G8JY5Sb0cWlpd6Fd+HBzYiPxf7VZDhSujOFLnXuhMs8V9ok0+F4c/K8h+80Q+0GmnmrsmcZODCHxwebEvjt1F7p4PmB+HBw/Eog5OZjRvZg4+pEZcgRFkxRBkRRDi6Koq5qqqmiHm88//7zqhtvY7WiHmuVVL3XbjXaj0Ww0Wo12p9HqNhrtRqPVaDYazUaj3Wh0Go1Oo9FsVcf88mi//UOz0WhWn9BoNpqt6u3olU6jcdBqNButVqPdarSbjVZz77PauyNbzcZv73V6f/wMEL2xxP1AMo/7xDOMesnyL3TlzAIXpjY19HOBf4Jj3x/d/4kkLsThla5cQvXC1M6AfAbkl1Cpx7mhXpjac0d7Zus/GspfdfH/kQb/x5D9b0PmXwashfWkP3/B/vEP9Oefk5//Q++Pv//yj598+cdPev/w+dEf/nj/s9//+ZPP/vHjT7/87af3P/7s/sef3f/Db7/8/W/+9Lt7n3968I+//4C+/3vI9kYy+3+Lwv/S1ccufO6DF67+0gUvXfDSNS4k6TnLPSbIn2jmUpanpnHtmBc2/N+j0//34enW0f82tm4CIzGVtS2vXSkPjczWIl3MTLWOQZGCbF9j/IZ+9/RybN195b9+6N+ObGRBqpL9nVjp/SBjH+mRlSnGFtK7Jro4Z8mtpaeWGrla6YBtYN6M7SyAKOJMfVCOrTw07kJ7A5Q5Q6Dcyp1v5kC+882tA3Igp/JwPWQXHDWl8QmFLUn8GjtGSI+6gV4aYuzBm4fe5tQpx1Y5trYjC0kBYkOONSHSxcRUELGf7ST96Mj35yEfmfnIRAExMi6xpWSunqjSlCbnLF1ArfT+6xir9OCcp6+x4wVLxkBC5jsG0gTvLTiqZNlVr7cGYuqD3NFRSVsWwNKDd74ZyXyiCrmhZKZaqOKcwtccvYHyzcjcnFhlqN+OjdcPvZ+/8l997b762r37yrl54GxO7HLkFCOjGBlohrenTjm2EheuTPXaFBaOMjGEc3VwoQ/PtEG9tcQjkX6mcVcQdYOXl5a6dPW1paEsxnZkbkcmqlIrRmZ5Ym924/bEuTt1UC+Bu1Pn9sS+GVvlGCLBeRpApNWvsxtotisZhCW/JSPwYepokSmjebgZ2zcPXBSPbh09Ebk1Sax0AXVNyD0jDs0oAImpoDQ8ctdSHxTIWw0MRJNErrY0pdiQM1tD4olfSygsTClytSyA25F1d+q+euAVIzN2tY1vXEvMEscSid+48FVgxSdmPjLLsYXyRPnIRCFg6cGVLqwIfNo/nuC9GY3PGGLGEHOWnDHEnCGueeqKxi4Z7FxlL4bkRf/+FdG7JnoXdH8GhlEAyhP79UP/9sS5GdvvKwcrPayjoqcmc/VNaN6MbTSr9drefzYReYb49gh5Qh4oLW3O0wsCy4GcuVrsa0mA8uJG4ZsVk4+KFUPj55H92jEWLLkgsDlD5IaC+PxI5qdEf00SEYFPyH5mqsXIjL1KEBq7WjG2toE5pfEr/PgKP74melf48ZToX3z5jxMKy10tDbXtQ+v1X7z//KfRzw+9rSyueGYucaUHX524dUiwCc1NWD2k0a5Z0wwKF5BfWvJM5s/w3guy/3JAPhsQjznsEju6YsgreTiBytwBS1dfeWo80jYPbLSQUnm4HVn5qZ14emG/QfrU35VfhiAbQRQMID6s8OGNCxOJnxJ9lA3MFaF0AOr3WozM2JCXHDVjiBRIuaPfjG0k3tpXeqZ7zZgjV0s8LQ9hNoJZAMoAbn2YqMMJ3V+IbG5piASqGregih5XWzjKxJauTOFCH75Q+cfy4Dtp8K2Afy+RjxX6qcK8VAcTQ0C9O6emfCYNfpTxRwo9Z4bTARZTx99zQ46gGIp+H+k1TauQHnXD3cd49Eq70Wo3Wp1Gu92oEL/ZRKONkLjT6HYa3WaF+J1mo9NsdFqNbqvRffvnRqvC9CZyEdDYvas6GI12o7OP9K1Gu9msRqPRbTQPmq3DVvteq3nYaXTvNTofNrpfNBq9Vododnut1vFht/fbD4jf3CMPu/12+7jZPG40+s0W3u3ihwfYvUPsw3vH91q9D9r9Dzv1wD7qYh91qd98hH/0wf0PD/540P5tq/FBs3HYahy0Gr9t3fuwcXjY6B40up1Gt93othrddvOgXbk7zU6j2d2NTqNRTVqzhS75oNH4oNH8qNn6qNH4rNn802H3yw/a9++1jw/bx4fto4MWfniAdTr9dpvsHjAffsh9/Fvytx/1f/PB6eef/wvT+x+29K2tPFOlV+Pw30fOjSdtfGupCCtVTB2Q+EbVQi58Y6YRtfuGsQxghX+BkToa6gSceDrab/F9vdI7UFeDPfrMwgUreXBF9DJFSA0Fiao2vlEGRt3JHCH9xjdubJAKgzneX5J4IQuFLCwZcs3RC5qY4L0r/Pia7F8z+BWLnzPYgsAqpOeIM4V7pnHnGr+01HxXJbULN9+EONWZ72hnJNtGF1tbyfpC9q1kjR/l2IoUccJS1yQeK8NtYKKms78GG1kAbz1jwVETvLfimbUhpQHMXH0lD1YUsWDJhCLn/V4MpGJk5h5ADZgLH956xisbRgMmGjCrAb3kqDVHz/F+TFMbVXoVmK8fuK9OnX//2rs7de9OHSSxRuiOrr12yOqpQNZq7VTNSVBj7TNt8Fhmv5fo70Tqscy+1PmJIVV9QJ2qw2Ba6eaqPTPqNDDC7O3IuhnbqI3a6wfuqx3Yl2OzGBmor2q6lyTaJ1EQbmWhsT11EPdw+9DbnNjZrvX6dlT5YWUAE12YUv2EoddAXFXJVxiFZhSA1FASW0U+XH3Vm9AsfIiyV0hIlRpKbmmFX7G1+7dpH0frMLoMjHxXlVp6cKYO5nh/wVEZlO98Mzm13iD9zlNEMdxUYhOCWGH9BdZHm9BPaXzFM5HALSXuUmEvBepSZs7N4UuRuujfv8COLrGjM+LoQqKvAL+y5DIwChegMs53WQeklXM1NDMoDEWqBcQh15OMPKeKG/Or2UaVb6kPNr6x1oQlia+lQebqkaei15HmI/H0xAdLW4oc5WZs/Xzq3thgRuOohejG1G58szDV9ZCd4/2YJGKWntF4ootID5TuktzbwNzY+mpAr3lmxTPrIRsLXKmIS45a8czdyLo7dV49tF8/9F4/cHNXW/PMQmRXUMxDA7VgQYt2XwmENEPIa7k0+YUpLUX+isBekPiLAflEIH8UyYvjoysCu+K5iS5NLW3uaFGgl6fGzVfu3cjKNSESuMzWtqfOzdi+C+39SduvbUZzixqF3YTWxtRWLLUgsBWBr0kilXikHUYJuwhKMxqfDajS0lBP3/p2vGM568YeSOmJDkDThfKDVzSWAgl9COpKUi8AVBWJUhgvZf6JNPhB5tAj/EikH4vMU4V5rrBo97KfdO7RkPqrePxXCb+iuCu2tyTuf8MMENKTNEWzzC8j/Tv/2u12BfmtVqPdbjTbzWa73WgdNFr3Gu0PGp0qLkcRd7NRuQe7uPyXRqvC7Ood1a9ViF/5Fugzqlh/f9Rx/+7Q3Wg1O53OvYPDRqfZOuh2u+0q+O82Gt0dRdBttjrN5o6ZeItpaO/xDa1Go1W9r9tstFqtRqvZaLUbnU6je1h5Knv/mu1Wo9VEh7Q7jU630ek22p0Gco6ajYNW87DVPGi2Dmo/pt1oNVudVqvVbjW6zUZ3x4i0G7UbtX9pjUa7gQ76zRe/+eijNvXxb35Q1dtxsIFiYcNrnomBkgdWFBioM93N2K0tNRo10tfQjuBtbSuoA38deKX/VWnvWwXWjo4U49GQjdThNjCR/cpcHVXno0cX+QRI3bPEsTnen/aPZ1hvSeJzvD8jsSVDrngmUocrXZhr/KXMzLDeVf/oHOXpFe4cDFFFTfxeVgJlHOoOS+gZQ5Yi/hV+Yp/Jr6+rGJnbUycG0krkJhQ25+nSAVkAUXPsX4T5LIBbS59S2CV2tBTYFRQTHxQuWIncmiZXLBUx1IzEYk1A+RGkG88CiEjCBU0sGXJGYhOyv+CoKdFfENiCJhJ1WHh67unbkVk5MbYaWwpiqus+tb+STajkmbGrzW31AkpP1cF3Mv29RD9RuJc6P4MCuqLY1RL3jflLdqr4OsFRV7GiGS49WPpgE5qofHxXF/oW0r8zP/sWEAXfaNRvQYJN1KgnUofXRC9lmSUQFr6G+qhEI5iFBuq+sO901gt1bstpAMuxlVtaqom5oWSuvnTVX3POUKBcX2x9cwsfrqC4JPEroreUuK0DkhPzLQD29MTTkQJ3rgwyikppKuGYWOAigYs1obQ0JOhbeCraiOu5xT8TiIv+/WuiNyH7F+OAhNEAACAASURBVCw+A8OFKa1tpfBh7uiJqfwi0qNNEdGtqZ9HhBzv6HXqdFtaiypGxtrXUx/cjO3UUpckvhgyKE2AqL5013UjCw20v18xMm9Hdg7kS/x4TZMxz5a6XBpqogpLjlpg/YQgCk1aDuilUHUXjXYqgcLWI3W44plMl7YOKB2wdcCtAxNVWAyZWwfejSxEF219uFYGUxpfa0Jatz0IYBYaK2+v7rGWhgQwC42JI64NaT0cTEniJU0+GzKPFfo7mbzoHZ/3jy9p4lriroAws6TY1zahUZyYmwBG8mDCViLf25G99YyVJe8CDx3Jh1Fh5K5mWM89UDogkfgFga1xbE0SEUXGPFtABZENSAtyRfSmHFnYelUEsedq7y/Oeuz3P6hSVy7MoDxhiZU8QHnGyFHflIo4VYv3xAdrW7nWhs9k7rE8eKQMvpeqrrKPZfaxzD5VB8+B8Fhjf5SYbxXsW4WcMPx0gK2p4+9Yfh/pJUnSVU1RFLRrbYX0rVar3W632+1ahP8WplZ4juCw1Wi13oLM5n8BnzVj/xaMtRqNdvMXjqyOb/3iaKLw+aDRPGg0DhqNTv2WZqOFmgI0G61ms91qIlel1Wx12rXjUh3QbCCGoNXqtFqdHVvQajbb9cU237zeaTQ6yGOoYHn/AtFfm91GazeanUaz02x13rAYrXar0253O52DbqPVbjRbb/lWrWblNLSqC6gzKZ1O58N7v203DxCrca/VOfrwo39T5ezBKLcAQvoysKLAWHpgZWuJC98Rmu7bcQT2KFLJXH0JhInMpjveNXu78rCuCHjXHiE21daQXhe5urmllV4lkkJMVLLbpmwTmkuJuyZ6E7yHIvgFS+aKkClCqctbS0dkQOKDuS2fg8GCwCZ477x//4zCrlR+ZqsrD9TtWt/Xf2V7jVBQoI+A6h3Jwq95MPUxhQtKS1vxzJQjM1NFIqx3YOYt5DDUK/z44vjL2YBaqHxiqxtbT8TBEhmLITsbUIshs3EhYomjEeqkBnNDmbNkKg8Rh59aaqqJ0ZCd0fhKHqSOivb+qVA2MBBTne604rWWeB+eUx+ktrLU+aU2jC1l7eiXhvxE4b6VKGQjzhRuBgWUb65maU+dtL9m6u2n3ymp/0X4rCXH+7dmn1VG0XOdxUS2ta7ySHxQBkYG5SVHJQw9VwYLTy3GVjm21iFIfHAbWO+cZx3/VQG6ra1EbkbjkcCljrb2f1VX8f5zUd13H8auFrP0ef/+bEiXlhaNIJIXoGPQJKME/xIISxxbUUQq8QVUcktDSu/Ch8XIXIzA0tdmjvzMHDzlsUvsaIL3LrGjyYCMHBW5ejehhdT+6Xs+KFKQoa9Dc1iXEaK6xLoMpHKnvKoUpdbnVt5kYKaWuqCJGuljV6t6hiI2a2SiXjqxp6OU/BXRWxH4iiKWHLUc0AuWnOP9FdaP+9jWAWtpMGOItcJnboX0SDk/l7i5xMWGXDuIuaOvpYrqQzVQhQ9LS11y5IpnSkvbjiyU2Ul9UIytdPymp2eyQ/rKax/DxJASjpnj+BlFPBWZH1T6W4U8w3vPe/cvsN41S10r/NKSswAUnh55au5qkcpPWGIpcRsXFi5YqPy1yq0sCcF87Fb9LlHFE3I4Nr6xVvgZjS9xLMKw6vllqEwRSq+6C4ULpjQ+5+nC1pEqoq5PeYcy3Dcs+3WwqKSw9OCCoyYDMjPVuv4CfUjqaLGrZQEox+YmNNe2cq7xPymDH1X+e4n9TmS+l2g0fpCZx9rgic49lbkfNOIHlZ5T/JzDEvL4e3rwXyN9zdjvs/ftdvtgF3SiGLyKdJuNbuOg2zjoVFR2p93oIJ6/+avjl2P9vbf/8nj7Kzo1vu9G86DZPWh266RAt9m61+ocNttodJutbrPVaSDEbu792uo02t0qFK/GQbPb6rRbnXar1WpVb2l0G83DRrO+QPTiQaN12Ozea3QOGofvjMPGvcPGvYMdrXDYbB42m3X43jnoIo+q2+50Op12u3IC3pxeo9nZfe9Bq33QOPxN48N7jW63fa/R7DQbjS8/vPdXx8psMBmyS5HPTD0PrHxkI4H9O1hYIz3iAxGVVHowNZSVPJgNqD2f9y2JdfIrYI/aX6SOlhvKgiURgVmY6iY0kbY8qzvW7YKPtSbMGOKa6C0HdAqkja2XVmUstoGJVvzK0yaWeKaxK4pYkvgVfnxB4VNNqDbvCax3DPQ+cie7HkdI81Upnt6rqoh3lNp+bqKivm1lGxo3Loglbs7TqaFkAax6dP9Ktn7jwjlLTvvHS4ZcDJmVPEglPqLIeb+3xrFMEdaaMKXxDMr5yIxdLRkZSImWGspsSKNc3TYw85G5DcxMl+YsGWvCJjRRy/08NOqdgqtGnnu34x2nJwvgSuYu6N4Fi690YWEqL3XhB5n565D6QeaeKNyZNpgYQuxqZVC1iNiLy826jzJiON/t4/1Oewa/ts5vFxe9fW4bF6KSqo1vIJE8InuqWju3sumZb6a6MqepNUlMhvTSFFH3N7TPYentOJsa4HdggIKtWBPmDHF19OWCJVNLXYe/2hErtpR6y4z07SsqRmYm8pf48WxIo4KImtWokT71AdIZzCl8RuNraVDYepUFCCBqx7nwKwf30hieDYlr7Piqf3R+9OcrGktstdo82oeZrSW2+g4dUiN9uqvo24TmGoizIb0SuVKXb1y4cav+InWwWD1xoRHt3pLZWmaqiS4uOAphM+q9nXsAdbhDX7RwtIWrxx5MHZACacFRKCUx6R0h8fkM68UkEeN44YJUE2c0vh6ytd+QO3oZGFOJRd3xogAsfS0NICoZvSJ6iSTkFihCO3W0SOZn/aMlQ0YyX7jg9sTZjqyqJqVuS/Xeo3rzlZsDKaLIab//E4n9IFCPNO6Rwj4Z4E/xo8t+b0phU4HJXP3u1NmGRjEybkZmBqUpR654ZuuAwgVThVsYQlXnFoC9InsNUR2b0CwdMBtQE7y3JomEIGa94xXWX+LYmmcyKCPDchNaKAZIoIyQHs1DtMuq1M/ImzKlXQI+2xU+IOFFLA6uGRwhfW11kR+Z+iAP4e2J/erU2YTmzJKeadxjbfiDzH0nUt8K5DdiNb6VqO9E4tGQ+k7qfyvgE4yZM/2YOPqB+gWkf5e9R9E8iuw7nU632+12u51Op3Wv07rXaR52m4fdZreD4uN2s9VqHrba91rtw3bnXqf7Qaf7Qad72OkettpvRv2ndude56C7P9rdDhqd7gfdgw+7Bx/uPqT6FVHurU6zc9Bud1utTrPVarTbzUaj02x1Ot3Dg3uHhx/c6x7ca7UPG83uwcEB+uTu4cG9g8MPDw7vHRweHBwcHh6iC+l2u93DA/TVnU6n1e62OwfonPfHAfrX6R50uofdg3uH3Y8OD35z77DVvtdsHTSabUS/IzKg0+p2DtpodLvtg4POwUHn8KBz77Db7XYrImHn6jTbrWa3U81eo9lutlpIqFClKxpvDt5zhdqde41Ot1IltjsfffTbg0aD/tMXK0ueK4MpR0Yyj4xOObbSXZ+4X8Cz3bK7Ca2tAxKJn1P4DOtNtMG6rsPZN9a/AvZV7tDRSgfE4mBKYTOG2JjaJjQTuyLlaqRP0AYSlhYLHGoOg1R7ialUdO4u9E99sLKVa22wILAFgV1iR+ckNlOHsbfbpu/t8vGa7ot3l1ZHqzX8v+/0oJLiffVynVrbhEZqymuBWYks4uiQXuZXYlmwHVmRwC2wfkTga5pE6YnV0fGKwJfHxxmUy8CYkP1I5lEKHwm7toGZQHkypFFb33JsLTy18GGiCtdEbymwqIRp7eu77U+qrbVjD6YBzEa7/TN2UgPURyULQK4Jc55aiGwMpDmQzrThDzL3b0Pykco/1gYvdX5iCImnlWNzExp1r5K3kN5HvE7d0OndVVTBPKrv3yF9Bdi7k0k8PbaUFRQ3plaYKlIdZqaaWiqChxpEY09f+zBxYaLJc5qKiP+vujcPkuuqDsZ7JHm0Iwtbi6Xu997d39LL6369792zSTarHfjwomX2fenu6Z6ZXmeXRouNoAjkD0wqVQS84YUQQwJOVcCmCBVMYpcDgUqFokhRpBzHYFu75vfHnXlqjSRHAr7vVzl1aur1m/vuPffec+8595xz70V5leRdrKKr04ajHNKnYiunCK/hwBW2jBhTHnvJoZQpmZTEsiZPR7yl1DWMWo/cQMJXwKYzhbPfXHNkzuMap3DSpSyErx5iwe20V+06Ue/KMWoynnTIM2Evz5DTUwy7J+PGbMw/E/TkDDWj4gkgjYnWApQKMq6FDW4245FcXNFZy1Rc0q8eJDAXDxTdGo9RLRFcdttrfp0HHtZrP9yzYDqDa3696FLLTrXoUqdDBr8fqBbnF4P5ZpqC1bivGPFMRAx+MEkt6p8Le0u6VgGwijE/IY4712qMVhAqRTwzQc8ERVMqnYmukM1ddRkVc0lfSQVWzo2OeCdVmoWgqjunI/6Zllg54is7lKok5YE4TkDRrc0ngkvp6HwswG++rjcgmZEHs4nAfNpf07UyRuMI9lLY7qK9PvuAYe/yyv0qymGpAKU8Q9Wwe6klOh/3zyUDC6ngdEDPyagg44Ww71g6Uox4+NaD2XSw/hKEasSzYnyK+4uGg+/vLRFcI2QCSEUISghyo0jJ7+INO+12ZBmc0FW+f5iz+pq5pRxyl0PuFatnna3RnI6mk4Fpj3NcwXPRq76Ya12EvvlUkIfFlBK+Ib/a49W6DbVDZ0ed5LATH3Ehjh0e2uNWOr24Qyd5rE7Z8bQCOzWnKellVdF13e/1/Q9+ejMir+Faq3pDw/oN6+5o3LDRdM+bHnrTG3+Nkd6Msb/Gcr9ig99w45LrUq9uB7CsfnhNAXwhz+niFDasWB82WNavs6y3WNaZhvKGhoZ1G9ZftfDXeyXq8jSptawWeY33Yd2KM96M/7/6rzV15KEBDeu5wmJZt97SsMGyvnHFpWBZv75hwzpuXFi/oeGOxqshh6vIP9zAM220WNZbNlgaGi3rNq7fYGmw5EOuckCfUMiUSstuOw/zLvO9YdfGSa38NEOgw0ZJ1woMFTGaUeQxtzwZ0nlwk3nHVHl1hr3hsp6boxcToRnDNSHjgozngsZiU4S7A3lcmKmtH4sHT0SD0y57BgpZBqshz1wyWA65+XH6/ORtvueqEvaMu5WcaBuXhDHROgzFcbfGj0SshK85D868d7wS9/ETvFfPoF4506OaDq5Z8prtMBMPzpj3FibDM8lwLRmqxAOzCX/Ray9opGo4FhMr8czmcL1+zVqN+yYd8qQkliVQpaSIUQmAqgSqlIzv2zcdcB9ri+cxmLCzUsK3cg5oxLuYCE0H3AUH47vCZtKhYsp/rDk67/eMI6moscVYgJuCV28wi3CsJoKlhK8YX71Tri7WnR9hdCoROBb2Hov652OByYB72OvoNuyHnPSoS+50y/2Gkgs4qknfYmuUby+cTvprKz5gfykaKMf8lai/Ert6o0El4TWjH656E80LbFYlfWXlNFP/bDrIb86e8jvG3XJBxjkChqFtCNlGqZSz05LfNRdfmcrnkvz6ieBsKrIYDc163BWCCzLOUGkc2CYoLAWcpYTP5MNr1Fbu0g7o/DbqCsFFSao5tYVkaLo1cr2MX5H0/ECVVTWU77jjR6PMNoXnDT3P0JSuLkb81XTQPFuaz848uJUbqGaddh51X/W5Vm5hWHVYVFKB+Yhv2u0Y03CWwSIEY6J1EoJxCos+J1+q8g0v/CyBNcoo99PzYK65ZHDlaF6GKwSXRCmDxAk7q/j16qp2a/rIFlqi3HK+mAiV3faCjIsaq3idC8lQOeIrx/yziVA1Yswm/AstoVrUWwg4C2FPtSlSSYWqscBc1F9226chmqWMq60lRiYQqFJShGAypM9HfJMMFxiqhQ0u0ecTwVNNsbydVvx6Lbpyjv1cMljx65MKyWNU1Z3VcKDaFCkE9EmGpwWxjFEeg5yMpnR1Jujhrv3piNeU8XyjwbHmKN+bUA46pmRcAqBAcL9KOt3yoN856nW2h7V+Jx0nYNy6f8R2T9GtzsZ9lYBrwlBLAeeUoWUZLDA0FzSOpSOlqFFN+spxoxRxF8N6Oerhkr4WNXgjl/yurILGKSwQOAGkMkZTCJYxKmM0gUCWwYJb5UrqYsDIEZC304VkqBr38TmQ934l5p0K6XmffdytFIyVjcS1ulVWvU2xptvHFbwQD5qcU++/KEc9M3HfidbYo/elp5tDoyFHj1fr8WqdbvmoEx11og4P7fDQozruCWr9AWdPUO402DhRx1VQZOIjsqogYkp6t9ttSvqVXXbrLA381to77rhj06ZNxWJxenp6YWFhZmZmenq6UqnMz8/Pzc0tLCw88MADXKR97GMfW1xcXFhYqFQqPM3CwsKJEyeGhoa2bNnC00xMTJw4caJYLC4uLtZqtdnZ2Wq1Wq1WFxcX77vvPovFkkqllpaWarXa9CpUKpW5ubmZmZlCoXDXXXcNDAycOHFicXGxo6OD37Z3xx13rFu3zmaznThxolarzc/PR6PRdevW6br+2GOPzczMTE5OLiws8OJ4LWq12rZt2w4dOrS0tFStVufm5ri4veuuu0ZHR+fm5ubm5qrVajgcXlhYmJ6erlarx44dW1hYKJVKS0tLMzMzxWJx9+7dFoulsbGR2zx4BTdu3FgqlUzii8Uir0u5XD59+nRTU9NVX/ya6Ic/ALimMh4yplPRrF3NE1xh8gQCkw55yuuYjfsW0qH5luh0c7icDpRS/nLSV0n5uepdjHsnDLVAwKQkFAks2VkuYh/zy7WU98R90fm0t5rQp9NGOe6aShj8niE+MCoxo5TwllK+SiowmfAWkt5qwj/t00t2Oe+UJ4KuctxdTRrllFFKeopJTylllFLGZNI93xzhV1+MESlDQcmrz6Yic22JhXR4vjky0xKpNYUqcV/J75pyKnyaGJGkHknoltGw15GPBErJaDUV515zHrg73xzhodHVuI/LuVrUmI5555KBFXmT9M0kDI7TcU8t5p6Oumdintm4MZXwlhKBcsRXCXtn4sG5dLSWDE2GPDVdKTpI0S3XIvp03FONe2oxdyXi4icWzEX9c9GVcwkXU+HjLbH5VKjidU4RVJQkvh6axDCLxBohY8BW9DmPpyIlhzJOQM2v873p/JSxKZ+96LXXYu5yyiik3NPNoemoUXSwPJamVDITdM8nA3PJQCmmV5NGLeWtJo1y3F1JeCoJTzVplOOuatI9nfLUku6ZhHs+7T3W5D/eHDjxodixg9HplsBEwjMStPcacodHbnezIy7Q4Ua9hsxvqq2lvAut3hMHfUv3RpbujSy2BWebvNMpTy1hVBKeUkyfTnl45nzfvLm4n016eWNW455qfIWYWspbTHoqiZVbzoop/2RIL2q0LFinAZsGrIbkGlZqVJ3WnHOG93h4hSdLKX8x5efPUzGjENZHdTZMpUmGSwSPS0LFpS0mQjNR33TcM5fyzaV8lZi7mjTmW0OzbaFqk++xlmhJwwVhXwXBqsZm/Po8XzmFXdNR93TUXYvotYhei7l5P07GPVMJoxg3+K4zfqhGOe2fbY2WIp6sg2YVNOVUpv1GJWgUfK6iz1kO6CW/a8JrLxjalN/J7f8Vl5ZlMKPimajvWFucnxtRiXnnvHrVpU2ptEDgBAITCBQkMS8KA0QYpOIQk8Y0nPeo1Yix2BQ5eSA52xqdbY3OtERm2qIzB2LTbfFic3giFZiJeWaT3pkmfy3lnQooOUUYx/vLRMgyUNLVubB7MemfT/pmEkY57i4lPdxnV4v6qyHvhEPl0f4TMi5FXNNJbzVpVNLeiZhrKq4f+1D8xIcSmaA7EzayMV8m4c+EjYzXldGUDCF5jDgWCJ6gZJLRoiKXVGXB71mKBEoe+5iCioarGjAqhj7jN6qGM8vguEaqPlfV56oazpKujVM4tVcsM7US8NXi4blocN5rVOxaHqMSI9wxN0VQiZGKwqbt6qzTXjQcBZcy7mATulrx69MhoxpwFw0Hv24qT+GYgoadbMCr9gXtPWFHT8A17NCykEwIMAdBjiB+e30RkzJlJcYKlFRcjmPx4OnW5OnW5EIydLwputQcO94U5XgsHVlMhU81xWb87imVTsmkTEkJwSIEVYwnFZLHII9BkeJJhvMMFRys7HMtBIyKUx1H0rzfs5gITQZdXCcrR3xz8VAlHqjYtVHJWhBsBZdSS/j5/fTVuHeGs27cM530ToW1SQVOaqjst8+n/TNN3kraM93iWzwQOnYwPN8aqDX7p1sC8wdi8wdi06ngRNA1GFD7fXKPh3R6cLsbtbvRETc84oYjDmXQ6+7y6h0OMuoAky7ap6kfF2WMKWMKpVRVVcMwvF6v220Yhs/r9e7du3clqryxsdFisezYsePSpUvLy8vnz59fXoUrV65cvHhxeXn59ddf7+3tPXTo0Msvv3zlypUrV66YCZaXly9duvTmm28++uij27dvn5ubu3Dhwrlz5+r/u7y8fOHCheXl5TNnzjz00EMvvfTS5cuXeQ7mw5UrV86dO3f27FlBEF5//XX+/pe//GWpVNq4caPFYtm7d++LL75oFl0oFHw+3w9+8IN6SpaXl8+ePct/Xrp0CUL40ksvmdX57Gc/a7FYRFH86U9/yt/87Gc/O3Xq1IULF3g1zXw4/cvLy5qm8fbh9wBxF/uOHTtMsuuL5nX88Y9//LGPfcyyGu1oWb0a+I8i6bMhZyUVyDpJjkolivLS/rwsjTvxmINldHXU4xhya/26MuBSBlxsSJd7XHKPW+l1s34ZDkq2EZs1i2HOLmd82qjOKjHvibbEYio8nwoutcbmm8OnUpFTTdGl1V3Ux5rCx9PhpabIbMQ3kwoutsZONsdPBnzzdo2fHHk6Hj6diJxORE7FwyeTkVOp6Ol07GQ6+lhL+NNNoRNhY8bOqhpZDOiPtcY+85GmR1uij7ZETzSHjyf8s0FXyU4KyJax7pm0WYuSOIGlcSLxONWZoGcx4l9KBk6mQ4+2RD/dFj9zIPHptvijLdHTzZHZtsBci3+22TfX7Jtv8c80eatJ91TcWUp6yiljOu3jONPkn2nyzzYHjqeDx5tDi63hxdbwUltkqSk0F9KrLrnA0JTGZoKe401R7krkK4yllvDx5tBCU2A+7Z9N++eaAgstoWNtkdmop2KoUwosUTAt46qCpxSYp+I0ECegbSGoP5YOzzmVEhJrLnk2pD+Wip1MRhaD3qpLqzm1xYBxLB6cSwZLuqOkKiVCK0ye1l1zoZWjY7hhsz7G0PQ7zKZDx5qjx1tiJ1riJ1sTJ1riS82xxdbobDpUihq5gGvQo/W41C6X0u5Uu1ysy8V6dW3Y48z53eWoMZfyHWvyn2yLn2yLL7XGjrfEeG78YT4V5Fuc51Oh+VSE40I6yrdQrpxBu+r1WNnWGAtMR0PT0VA1HCj7jJKmljEa1OCwAw/aUb8KujWpz4X7fXJ/UB3U1UFdHXCrgx5t0KMNubVBpzLgkPs1YQDvyxOhSKQpKs36HKeawsfTwbnmyHxLdK45wrfn8SOD5psjpz7cPOV15AgoMDTpkGeivqUD6eMH0/Nx/2IyeDwdPpYKLaZDx5rCx5rCC6ngUjJ0KhU5nY5+uin26abYo6nIyXjwWNR/KuGbMZSygioyqjFUJNIEFiaJWEC2SSJOEnECCxNYmJRBUUVFFc0qpEJARUbzbm3R75r1aFUnqzjopIYKCshRIQP3j4F9mVXMQyvHCSxMUamk4ZpLnnGrM255WmdVl1zTlWm3Om1oNY9a0eWyU5326fOJ4LHm6GzCX/JokxqZknHN75oLG8dSoaWWKD/e4HhreKklfKI1crottpQMVHR5nAgFKpYZLDO44HWfiARORIOn4uHFiP9YyPfpdPyxVKzmddb8rkmvlnWSUQXkZTiBpYJgzcL9JuaQdRzb8kQoUHHGzmYdcpFI4+K+KSyWGS4SWGa4zGABWCegjRdXZrBEQQHZsgxO+hzlpK8cN6YMrajRKRlPKrBAxQIVJ5hk4qQMJmUwhcUikUoUlCgoEok/lxksI7EIhXFsG6O2YRUMunC/lw745X6fPGrHeSBO2KzjojUL94+D/QVh35QolCEoITABbZNErDjorEeb8Whlj1IxVpq36lZqHpXjtN9RdrEpFZU0XFZQkUhTWCwzWCRSEQplJNYorBBQJNKUAqsuuRJwFN3yuArmYsaxtkgl7Z1pC820BmebQ0utsYWWyHHDWVTRNEPVoHOhJcQPQzvRGjt9MLnUEl1qCZ9oDs/FjCkgTSBQtMvzER+30i+1xvgRgTxEcSrhzfMjgT3aiEseMOy9HrXHrXTrcqf7KnZp0mFDfchn79BZ1o4LDvagwgIAUSozxhhjmqZ4PLrX6zUMw+PxXpX0ljpX/S9/+cvz58+fPXv2e9/73sjISFdXV61We/vtt8+ePfvOO+88/fTTjz/++Pnz5997773/+I//WFpa6unpGRkZ+e53v3vx4sWzZ8++8cYb+/bt+8UvfnH27Nnz58///d//fXd39+jo6NjYWF9fX3d39/Dw8Mc+9rEvfvGL77zzzqVLl/7zP/9zaWmpu7u7v79/eHh4aGgom80ODg5u3rz57/7u7y5evMiTvfTSS9PT04ZhPPbYY1yQnzt37ty5c52dnb29vVeuXPnNb35z9uzZ48ePDwwMDAwMTE5O9vT0ZLPZ7u7ue+6558knn/ztb3/7X//1X+fOnbty5crIyIjT6fz+97/P1ZFXX331/vvvHx0dbW9vf/HFF8+dO/fuu+/+8pe/zOfzPT09Q0ND+/btM2WtKbC3b9/e29s7ODjY2dnZ19c3MTFx9OjR48ePX758+a233jp//vz09PTVM4j+eNDQ0NDjVTIRd78DDRFxnIARcd8Isg3JYr9T7teVXl3rcvGITaVbl7t1uccu9znVQaeWaLjZHQAAIABJREFUYXRchJMimmByweXIhY2MX68kI0v3tiy2pBbbkifuaz52X9OZ5vip1vjxA/H5A7G5tujxlujp5tiZdOx0OnqyJXaqNf5oKrLodlYxmqKw7FKqqsqxqMhFRS5ratmule1a0a9VvNqUi+aolCXihJOVg65qxFMKuqb8joJHydrxGJNGkG1Q2jcg3pPfv78MYYXggiRmBes4klZOwfM7igFnOaRXIx6OlbC7HNJrPvu037EQ9JyIBU6no4+2xE+2xJaaInxCPHUgcfpg8tSBxMm2+InW2MmW2Onm2Im2+NJ9yeMfSR+/N7GYDM66HTOMTjJacdgXI8HHWtKnW9Mnm5OnW9OPtjWdPJA43hKdTwVn4j7zDuVKzKjo6pRKJigsybii0rJCJhkqEFCS8YSdTkeN4+nwrM9V1OiUU57y2ec8rhndUVLZJERFgKaZVnO4qro+iegEwJOIlp3OatBfjgWLsWApGqhEg7V4eDoRqcXD1VioFg9znE5FZ5vic82JuebETDpWS0bKsWAx4p+MenNBfdhj73PJXQ653am2O9WjLu2Iixx1sg6H0uVQ+12OUc/K1ex8V30lHijHgpV4qJaMTKeitWRkKhq4Houx4GTEb2Ih4suHveMhYzxk5PzurE/PGe68yzVpdxZU+5jChmTSpZMeD+t20yMOeMQBO7ys3ScfMWiXS+nW1U632ulWuzxaj1vrcak9LnXQTUbtqKCRokZLujoX851oix8/ED/eljp1sOn0vc2nDzSdakufbE4uJaKL0dBcOlrUHROMlmW56nQsRoInm5NL6fh8c/hYW2zpYMLE4/cmjt+b+Gxr8tOp6ImQb95wzTjVml2uaqxml6sKnsLiJBLKDNcYKSFQhqBGcAmBMoYcqxTXGKnIpERRBcEqRlWKSxSVKCoSOIXBBBTHiTROpBwWs0jIQFsG2nJYHCfSBBQ5TiJpCoMpDHjOJSgUgW1Ksk6JQlESS0DiOfPqzIcDS63JpXubjh1IHWtNnjyQXmyNLbTG5tpicwdji/cmlg4mTh1InGqNP9oc+ezB5GPp8IzHUVZIVWbTMishOIVwWZarqlp12EuqUlTkabu9qqollZYd8qRGRpBtBOzPY2kKgylRyMFrcByJeSxxLCAxL9kKgm1CFPKikAVCBgr8UKAJBCaANAGkPAYFGY9rJGeo5ZC7Fjaqur2EYFkQqgjOMDpJQD1OYKmAxAISyxBUMZqmpEZwCUhFaeVNQUFZBoaZ2K+IPXbQo+MeH+vxy11+1q+TURmOEWmEiENEHCLiKBazWBpnIC/DHJVGsTBGxAyVMkzgvTBOpHEk5qCQxxIngFdtgv9EUh4KeSgUkDiFQRnDKkY1gmsEVwgqUVRWSEmlZYUUCVzw6scTwemoMZcMzCX8k2l/NR0spwOzbueUSmuMFAPOctrPTxKcSQXnmkIzcd9swj+XDFTC7jJlRUonFFY0XHPJcDUWGPc5c15Hn0vu92iDXkevR+1ysS4H7XayPpfcritHXXI9HnGyI0426MJH3PhBJ+lWcVGRJ2Tto4QyKDLGKKWKwpxOu9vt8no9Xq/X7XZflfSmQNqyZcu3v/1tvsj+zne+s3Xr1s2bN4uiaC7KH3/88T/90z9dXl6+ePHi+fPn/X4/X7C+8sorfEX7gx/8YNeuXa+//jpf47744oubN2+2rAbzczv2hg0bZmZmeJ7nzp1ra2uzrEYGmMLMYrH8+Mc/5paD3/72t1euXPnWt741MTGxvLz87rvvXrp0ia+/u7q6ent7eVaXLl2qt5mvOMXXrdu2bdtf/dVfcfIuXrx4+fLlt99+e2xs7OWXX+aZvPHGG42NjXyf26OPPsop//Wvfx0Oh3moPM+wsbFxw4YN5hFD3OXBq8MpX7duXSgU4orI5cuXp6amuAp1g+2LtyzUb/j+Yafc7Xd2aLSXkRHKhhEeIohfbdTuwkd1ethFHtHJYQ876iFH3PgRDz3sYZ1uuVdDQ1AcgmIfA90u0qGzdgfs88ijfsegRxn0KPx837GgNhxUh4LqcFAdDag5nzplaGW3VvE6JtzKuJPmVVwgYBzYMpI1S8QclcYZyFEpg4URZBvFAsdJjCchmhSkglWYEkEF0ynMcgCNSWBMkDL7hew9tvF7hMJ+qSChSUhGEcpinEM4I4JRURqDcAiCPgmMSeKYJGaAlIWgHkcgHEUow2jWruY8zqxPH/W7hnzO4ZA2EraPRhxjEcdYxDES0oaD6lBAyfndGb+eCbqzIU+Omy4RyIniBBTzUJhkqOxSKrpa0tWKrpZdypTLPuFQsxoblfEIQ8MUDjE4xGBBAjlRzEhiDoI8RgUI86I0LoglgAoSyGNUpLSMSFGCeVHKSOIo3DeKhQwWssBWkMRJiPIYZRAYQdIwFIcIGHLQAa864Nf6feqAW+43lAGvOujTBrwqf+bYbyjXoE/lOOBXeg253YWPuNBRnbZ75KNe7ahXO+whhz3siC4fcbJ2l9zlUnpccq+b9etswC3366xHpz067dUVjt262q2r5ubdHg/rNWQTezysy8M63bRDJx06aXfhXjfrdtNeJxlS0CgGoxh0K+CQA3Q7tR6XvdupddqVDofSrds7dftRh3JUp0dW8fDVQGLa6aS9djrI8ACGIyobc9szXlfGr/f75AG/MhTUBsP2gZDW42MdbnTEKQ245R4VDsrSsAqHnSQT0MYijqGAMuJXxoJaNuzIRZzZsGM0bB8N28cijnEnzdtJTkU5GeaoxOXxGLCOCrYsBFkMRzEYRShHSB6RvITyiFxFQvOE5hDOQjQqChkgZYA0ItiGbdZRURiTxFFRyALJRM6lOQRzCA5J0igAYxBmEMpClIUoA2AGwALBKwZzAPISyktoCtESkfOikINiTsVZj5IJ2EdDjrGoKxt358KusbBzOGQfDNtHQlrWrxU8yqRLzjNUkOmkzKZkViRyAdCCSCZFwockxzFky2BhnIEsEYcE6zAUh5HUD4UhKI4RmMUwAyROw7gI1+CAJPbbbGMSGsdsDOABiHoZ6ZRxByX9ijLI5AFIBhEdkJU+p73fq/d4tQG3OqKyUQDG9gs5m5SVYAZdzTwngJwA+HNeutogHM2fUxLOizAngDEJjEA8TOgwY8OK3C/DUYJzAOVXKMTjIi6IJC/CgoQmAJ4AeFJEeauQ328rWIUMkHIIjiOYgyAPQAHCSYgmIRoXwIQAJ0VUsIG8VcrZpJwAshIck0AOoHGICwDnJVQAeBzicYiHRXFMAsOiOKawUV3rcck9Xq3Lo3QZ9gHD2e9x5DAbkmDWBvs02mdoA165R8c9Ou5xox4n6HfjQYP2u/EoFkaI2Ies/SrI+J39hnJEEQ+rYodH7vDQdjdZRXRUh0dc4LCHHXXXoU6PuMhhJ+41yGEvfcirtHvULof6f1QWkIlVxpRSSrHdrro9DrfH4fV6fD5D1/Vr1vQbNmzgcqVSqXCj9CuvvDIwMPDAAw8UCoW33nrr8uXLr7zyytjY2Oc+9zkuzN599925ubmPfOQjIyMjr776Krdav/7667t27frZz362vLz83nvvvfTSS9zgf/To0Z6ens7OztbW1sbGxnK5zAXq+fPnjx079slPfnJgYGDv3r2mrbuhoeEf/uEfuBGeS2guy01r+cWLFy9evNjb2zswMHDlypXf/e53y8vLk5OTDz30UE9Pj67rpqS88847n3322XPnzpk5mL4JTvO//Mu/NKzCmTNneLL//u//bmlpsax62Tds2GCu5nm4AH948MEHu7q6BgYG2tvbP/WpT1Uqlffee+/tt99eXl6enp6ut9ibGsMfLukPO3G3oXY72aCdZVQ5K7MxhY1qcqcLdq4Ie9zuJqsRHPCIGx/1kC6dDGh4lEojROxXQZeOujysQye9htznVXp02u2mPR7W6cKfCOEH/eiwgTpdsNcBB7QVHJSlXmzthvv6oXWUSlkGswoaUxBfxOSwuDKBwhXkEnpMFMZEIQfBOEajQByw7htGMIPQOCZTmE1hVsA0h/AoQhmKxqCUAdIEQlOE5AnOYjhK4AiSbogTAOYByEIwgsEgwz0aabfjw3bEA1i43tOlExM7DKXdRTsdqM+OBxTUT6V+Kg3KUo5KQ2D/ANg3hKyDxDZEhUFi64P7+pDQj8VBCgaI1I9F/jzEYBbDDAKjBI7KeFTGYxTlCMoRlENwDEojkjAiCVwXyQBpFIg9cE8/2TfIrKNUzFEph6URJAwCoVdD/Q7Sa8ftDshDart00q3Cozpsd6OOVeccx6M67HaRThfucKIOJ2p34Q6drNxA72NdBml3ow4P7fLK3QG1O6B2+bR2P+30yZ0+ucur8n1KKyJcx71u0qPTLp10rjZRpwvXbdulK+jBnR7cZZAu46qzkGOHZ0XS97nwsAozFIww0OPAhwzS53d1G/ZOt9pt2PkDtzDxPM1JrUMn3W7a7abtLtrjoD0MdiGxV0ZdCupQYJeGhx14QIO9Guh1wF4n6tJRl0F6/fKABocUMEjFASb0alKPB/f4cJcB2x2ww4m6dNLtXqlahxN1uvAQsA5DG1/85SksEFggcBLDPBALBOYI4OyUI6hAcGF1uueYA1elUY4gLhq53pmDYBzBPEZjFI0SOILBKIEjDHG9cIjBDEIcuZjnkiwrwTFgy0AhC4SMJI6JQlYQcqKYB2Dcuj9j2z+ChCEF9NlhpwMcdoiHHSI/Ia7bTTt00uXEfYo0RMQxKOSwNCLuHxb25SAoQJi1STmbNCHRcSJlkcDH46i0PwNtWSSMAWsOSxkoZJCYoSBDQQaJY1DIInGMQI5cXTMxh/CYIE1AMsWUDCFDMhnQ7d2Gvd1O+5zqoKYMMjoks0Gn1uuxd/udfS7aL8MRSchabROCVIAwi/EQBGMYj2E8ihBH/jNDCNefuIzPITyOzTdSBkhjUBqBcASjYYqHKB4kqJ8Kg1jKIK7orzQpnzpGIMwgkCMoT/A4RjkIchCMCraMJGaBNC5JOVHMixLXyMcxyRM6jkkWogynh5JRggcQGCJolOARjEYwGiUr78dFWAA4B1CG0QGNdjhIu5sd0WmnW+1z23t1JUPIMII5gPo02sN3/+v4iAtxm1a7C3POH5TFITvsUcUeBxzwK10GOeQA7W7C5+F2F+5wo04P7nCjoy7pkN3W5WHdhtxtyD1ehavavW7Wo9NeGfQ71QFD7/K471flGJBcACiEIoQYI7ru9Pp0t8fh8eg+n3HNmt5isWzatMlisTQ2Np44ceLy5cv1Hmjz+c/+7M/4cvzKlSv1Cd577z2e7OLFi6+99tru3buPHTtm+q3NTPibV155xel01mo1vhCvd2/7fD4uEbkZ4Ec/+hH/8Kc//emf//mfmz51/syldUdHR3d3N/epmwv9CxcuHDx4cMOGDbxS5pr+7bffvnz58uc+97mLFy/ygAC+xP/xj3/c0NDAYwk/85nP8BzefPNNbmzYuHFj/crelP133HHH6OhofSwCbxP+99VXX+WBh1xL+D3E/PuI/4cd0mEdHdVxhx32qLCPgS5Z6pSlI0521CUfdalHdPWIrh51a0fdymEX63Ao7U61y6H2K2yI0iFK+zS5Q1cOOekjDnLISQ+7lENOmX91yCm361qXQx2SlSySC0DOSywr0YxE8xLLC7QgskmBTQpswkYnrGTCSgZFcRgAPt5WEKNhBDMIZLE0TgA/GTuLxAwSM0gchuIYlLIQcHV7TBKHRduAaO2HQr9oHZRsPNmgtH8A7B8h4igWR7E4goR6HMXiuCRkJNsosA1iqV+GvXbcpZN2N+vUHR0ue5dzBbtdDv4woKAhAjJAKkhgUhInRCEPxDyFBYCzEswBtGJvkEAGwFFRGhOtWSDwY3/4DukcFPMYjEtCTrRlgcArlQXCuCRMAGkMChkk5rDE65tBYhZLGQp6XHK3k3U7Wa+TDahyv8J6VdbrUB52ykfd2lG39qCT/R8Xe9jQjujqEZU+rLNDHuWQR3nELT/ils3nDsPR7rHzTw7p6sNO+SEHe8jBHtHZwy76sFN+2Ck/4lIO6eojLuUhl/ygkzzkkh/WlUO6ekhXD+naYad62KkectIjunxElw+7lMMu5ahbO+zWeAKe8rBbO+zWDnsUEw+55Ud0xvGQW15571KOOFmHg3WrtEehXSo97KAPupUOj/yIAz3iQIc97IghP+zCjzjQYRcxOZMzZ7uudbjtnbp9BIMcguOSNC6IXHXjcnRUQiMiHASwH8A+jHoo7lVZn0MZZHSI0kFCeinuUlCHgxx1kqNOwmt32KkecWlHXJr5c4woo1gehnRQwgMiGhTRiIjHRJLF0hCwDoD9A8g2iIVhLIwgKYtXNEtT4PF18AgGYwoaIeIgtA5DG2dC/sDZIyPZMlAwe39EsnL7mYmmhjqEbMNYGKXSKJU4b48RmKGoH8B+hPoY6dPkHpfa5dHaPeoRQz2syUec6lHd3q7b251alyr3yXI/k0c0NKSAASYOUnFFGYVCPxRGCR5GMEPIKELDAIxhPALhkCTlVTKKxSFkGyHiMBb6pX0DYP8YA1wurtgkJNHEcYpXbGkY9gFbNxV7XHKnoXQ4SJeD9mm0T8F9Cu61004nPezEvUwYQLYxYMsCaUX/xtIAEnnOXDHiQ54XxHUjricNI4njKIFjwMaVoTEoZBAYxSvWr2FoG4YrxwyP1dG5YhsDwhiUsljKrs42A0QYYtKIAkcUOMLAqAxHGBimUk4UTRyXpBzXyEUhZxPGBXFcEAs2sWATJwRpUgSTIuCGgXGMRhjq1VCHE/Gl1BGddujskBv3y7BbAUMEdDjRERd6yKM+5FEfcWscH9bVh1zKQy7lqJN1utV2XTmiy0cM9SEX/ZQDH/IofBi261qnR+v0aB1utd0jdxjKw3Z8yE4OOyg32h9dxU+61D9xyB+1y00ac6sYEUkigDGGMdY0zTDcXn5kjkf3er0ej+eqpOfhZlwmzc7Ocln12muvnTlzZn5+/gtf+AJfpH73u9+99957v/CFL3DZ9s4773zpS1+qVqunTp164403uLR79dVX77zzzsbGxmKxeOrUqePHj584cWJubu7MmTNnz57ldvgzZ84sLS1xyf3b3/72L//yL2dnZ0+cOAEA4BJx48aNDQ0NL7/8Mhec3/rWtwzDOHbs2L//+7/fd999Ho+HGxWuXLnS29vb1dV16dIlvjr/0pe+VKvVTp48GQwGufqyYcOGxsbG5557jhf3m9/8ZtOmTZlM5s033+SZX758+V//9V+5TmCxWB577DHuMnj77bcPHjxoWT0bmK/Oefg9F/Y7d+7kysqFCxd+9KMfLSwsLC0tLSwsnDp16rOf/Wxzc7Nl1WdRrx/84WK+oaEhzsS4CpJ2lJJBExZbiZTCQoqKcYoTjCQYiVMaI4T/jFMck0lEIUEFhxlKIJhAUpgBrwoiFEQZjDIcZTgmk4TKEqoSk1lQwSGGohjGEExCmAAgDkEMSEmM0hg3EdJESBrjFEIpAJsAbLYJraJ0AMA2CbSKUpsEDkJ0L8JJJKawlMJSCgtJZEtAawoLzURKIyEFbSloS0BrAlqTyJbCQpqIrQi0QOkABAeRdACKLaK1RbQegGITvgabicQxha1JZIsjaxRZI1gIMymsgKACw5ocUllQoSFGOAYpDhAUxVIUiXEoJJGYRGIS2RLYliRCnIAYlpIMJRmKExAjIE5hjIAYtsWJwDGKrBG4n2OU2CLYGsHWGLbFsC2KrAlsS1ExAa1JYG0lUhsFvHZJIqSJmKQkRlCYwBiCcUmKC2JckmIIRmQcV2hKYXGFRhQS01hCZUlKIhTxTjG7JsowfxmhKEJRXKEJlSVUFlfoDTEmkzi9+nldejmuyFEsmbmZCWIyM9Nfj/X0mGkSqpJitImgJoKSDCVlnJRpiskpLMWhkEBigoIkgwkKEhSkKeRsGaEkQklMZgnGEoTGMYlgaxxZU9CWRkIKCwlsS2BbCgtJIKYRaCIoTVGaogSFcQKiWAoTKU5hguA4xTGVBhUckFFYxnFFjjLKM0/KclKWE4wlGGu2Sc0SbIX4AKYHMD0ISZsAW6zSfQQegGKrZGsDQqtkaxZszYKtRRT4z1bJdgCKrUhsgUIzsDUDWxuWWqDQLOxvFva3iStfpcX9SSbFmRijQowKcSby5yixcQZulWzNwNYChVYktmGpDUtpcX+TZOUv24DQBqQ2IB2AoJmgJgxTCCUhTGLER25MZmGCzRZLUpYiOI1xE8Jx0ZoEQgqKaSQ1YdBCUTOBaSQ1ASllsx0AsFWUWgTxIEQtgpgWhIMUtwGpRRTagNQCpSZJaAbiAYJ4B3GME8nEe6F0QBIOSFKbKKZFWxIITRSmZJRWcIqAZoYOUJxGUhOFTQzFsBimtiQRmonUTGCCghiV4kRKE8BHUIKKHONE4AOnSbLyZmmBQpNk5c3SAgVzpKeJ2ESlJiqlmZQioAmLaQI4NmHQgkAzlNJIWp1kVjBNxDQRU1hIQRufLupnjzQSeAclqJhkUkoGvPviTOTTVBLZkkRIUTFJBP6QoCuUpJkUU6SoBkKaFLPDGJUSMgyqIIWlGBbbgBRnYoQJYYaiCokqJCozzpNhgsMEhwk0RxzHuEKTmrwyqCmOUxzFMAylEAYRimIEmVM6x6RMkzJtcjkjjBpAdEBJxZgRygiVGVEUTdd1wzA8Ht0w3IZhrI3I4/Hk3FN+/PhxLgJNF7sgCBcuXLhw4cK777771a9+9cyZMzxM/d13343FYhaL5Y477vjud7/Lxf9rr73G49caGxvrz6DdtWsXd7Ffvny5VqvNzc1xY8CVK1fi8bgpxsz0Fovl1Vdf5drDyy+/LAgCY2x4eNhisdx///2XL1/mor27u7uvr295efl3v/vdxYsXE4kEF6imC8BisWzevPmJJ57gK/W33npLEIT169fPzMy89tpr3Bjw85//vKGhYdOmTevWrfvMZz7DJf1//dd/pVKplXMFViV9/Wm1O3fu/MUvfsHNEl/+8pe5277+kMF66f7HWtPzxrECvB8RkSkiZgBSjGQJM4HKUKZIUbCsAEIlTCRKoSxDmRLCAGMCoxKlGGOMMWDEphCJYsCIRLFIkI0SwJhEqQ0hGROMsYSRwLCgEFEmgBFIiaAggUGRAAFLAoOiiqGMAYU2RgWZiYpsY9RKiY1RSVWApkpEsWJmxUygiiSrkqwCqkhERlgGRAZUEZkiyIogKyJTBCoLVBGoYqXyfsYEWZFUTZJVkRAJySYCrECiQqIiqgFVgbIMqAKIjLCCiUqoRogDUgYIBYRCyhCTEZMxYQhTgu0Y20Vqt8mqTVZFRYVMxURBTDbTm59ImCCq8bLMEjmKTAVUhUQlVMNE5UVTZodMk5BMsEqZXSKKQBVJ1gSqSJQKjIqKjFWVUBkiIiIsUSxRChFBmGLCAGNWSgRGoSybNNTTAwgFjIgECRhKFPNeEwmSKBYJkSgFjPH0q0jMZ8AIYAQwtooEyhTKlL+UFFlSZFE2k12DN8p5pXlFmWFMKUQIIStDVhlLlFJAeFtJsiYy1cYUG1MEqtiIjBQFyrIoM1FmkiJDWQaEighbZVmgMmIqljWJyDbCRMxERG0yljQmaUyUicAwJxswIigEMAIxkvAK0wIiK7IDylQkyIaARDFi1EQbRVaG9lO4j8L9DNlkLMpEUqiVMknVgKLZCLMRGaoOSbXvp7KkajYm25gsKqqkajZF2UfpPYTsp7KNKTYic5bm6a1MAVgx2ZI/858ClQUqcw63Mdkqr6BAZZEpIuODQjNRlIko866RkaKYzSWpiqTIfBhy5N1HVCdkGqAqR85yQNFsdmU/I0BTRZkJjCK7JiqypCpWKtuYIsiqpNol1S4qmpUpVqbUM3k97ifUxmRBVkSmmihQRVDVfZhIsgpVu40wkSlAs9uYLDIFUoVQFVFNkFUbUwBWFKwhpkKqACJLmAEiQ6rwvhYVlTeOICu8qUVFFRWVc6MoM95K/KWoqIhqgKqCrAqyCpmGqMarLyEZMg0yTSKKjcgCXZlPAFX5e062yFZaGygaoAqgikkYpAqWNcjUlX5RNUnV6mkDVKFMI1RFTEVMRVimROX536NpgKo2pshoJb1EIZQxpARSghjlgxcxGap2kSmAMaQofIQSRhHBksYEhkVCAGO864GqAE01OxrKlA8BzrcSAaICoB1TjclUIUiGlAA7dTp1r9dvGAaX916v1+PxXt1l19BwNZ68oaFhYWGBr+n/5m/+5pOf/GRbW1tvb+/58+e5Yfzxxx//7Gc/y+3k77zzTjQatVgse/bs+cEPfsBN+j/60Y/uuuuuD33oQx/96Ec/8pGPfOITn/jEJz7x8Y9/vK+v7/Lly+++++7y8vLp06d5RN7ly5fffPPNSqXS0tLyJ3/yJx//+Mfvv//+++6771Of+tTmzZu/973v8TX39773vb17927evHnHjh3r169vbW29ePEi1zZ6enq49f6dd95ZXl4eHx8/ePDgI488cuDAgY985CMPPPDAfffdt2vXrmefffby5cu/+93v3nrrLQjhunXrCCEvv/wyd8m/8cYb69ev56L60UcfvXz58vnz53/zm98kEon6E4LrBfb69eu3b9/+q1/96sKFC5cuXXryySfvv//+D33oQw8//DCvxUc/+tEDBw7wYL0/1v4681kQBFmW7XY7t9hwIIRQShljsiwzxggh5nv+bCaglNY/XA/sFkCuA14cIYS/55mYD7eYIQfzW1VVFUUhhAAAOOW8IIwxWgXyvwTqG7++pvVVvhUwMyGEQAghhIQQWZbJtX1tFmq+ZIwpiqIoCm/A36MKZo9zMurf8H4xKeRE1v80gafkiW+YktPJS+H9a5ZS31A3qwLGuL6m9UWsaepb5O16OmVZNrOt/7kmzzXj4oZACGKMKMrKYMGYYkwJuYYTbljBW+cTs8XM1l5SdiZ3AAAMFElEQVTzYDLSredpNvLNmOR9Pjd5rz63NaPepOoWSaoHk885hWYpZp5mh5r//b8HN2ufmwGug3qa3+cTeu1Mrqqqw+HgAt4wDLfbzY32Zuz9nj17Vs6527hxI9+w/uijj9b75ut9z//0T/80NzfH3eT8TTqdXrdu3d133/3P//zP/M1PfvITSZL+7d/+zUxT74xfXl7++c9/fvTo0Xw+/8Mf/pBrD+Z/ze3sv/71r61W6/e//33+84c//KEgCKaI/fCHP7y8uhcgn8/fd999//iP/2i+qc+HAyHkm9/8pvlTkiR+/M5PfvIT/uZXv/rV+vXruQuD+ybOnz9/7tw57mg3Y+wtdWv0DRs2bN269cKFC2uC+3jpXOk5fvx4vaj+Paz310fkcXcAqZsTV+eOFYl4Q+65nofqJc0fDnz8IITWKBw3Y2h0E+CDkCcwqeVzBM9QURRVVbkSwLWB/xWgaZq6SnP91HZ9H70/rGlzs1XXTC716euTmY1/u+WaQpcLUVOKyDcCnuCGYPajqR0ihLi+Ys5f5lyJ65RUngxCeDPiOf+YY4Gn52SbArs+Pc/5ZnzIv73+5/V8TurUuFsfUCar13dlfde8z3i5vtbXAwDApLy+B3kb1leBU36zfr+ZTLqZ+LlZPiY99dr59Zz5P9ZrDdT3u0mYmQmEcE0RZtG3mP8fHW7WPtf/9/3T41W1hg83u93ucrk8Hg8X6tw3v0bS32BNPzAw8OKLL37lK1957rnnnnnmmRdeeOGpp576yle+8vWvf314eHj9+vWDg4MvvPDCk08++cQTT3g8HovFsm3btpMnTz7//PPPPPPM5z//+Z07d37xi1/867/+66effvob3/jGE0888dRTT33ta1975pln/vZv/3ZgYIAXdOTIkW9+85tPPvnks88++8ILL3z1q1996qmnnnvuueeff/7xxx/fuXPn5z73ueeff/655547efLkrl27NmzYwIPjgsEg//BrX/vahz/8YYvF8sADD3z7299++umnn3322WeeeYZT/rWvfe3LX/7yCy+8cPfdd1erVf7JM888c88991gslnvuuefMmTPPPvvsc8899/nPf37Lli08or6/v/873/nO17/+9b/4i79wOp03k9A83O/JJ5988sknn3rqKZ7z008//cQTTzz//PNPPfXUN77xjQcffLBeM7hdMX9DSc81Er6aN1cVdrvd7Xbruu5wOOx2u7YK9lXQNI3/yxQ8mqaZUvO2JBYXWhyUVTDFAC/I4XCoqkopdV0LTqfT6XQ6HA7nTYCzLM+Zf6JpGv9ElmUAgCAIgiCIoihJkvi/DUzK+Wx7M0nJu/WGwAWDoigOh8MwDJ/Px/V3l8ul67qu62Yj67rudrtNNjA7rp4rbgtUVeXi2dS3NE27nuA1jLHm/RpestvtnBnW8Kr5L85OTqeTMwPnYRM4p9V/yLPl1efZcsHPv61vAf7tzfjQbMZ6eupLuWHttGvhfcYRH6pmmpt1iplPfX1vBczxbrfb+fAxByZvSZ65WcrvxxK3DpwGs7/MBlwzU9WnuXW4ftIzq3wzrnufrG4I/w/S31Y+nCUcqwzscrnc7hWvvM/n49MCt96bUn/37t2W1Zvo15lu8nqnMn/JBdUacWUeSm9ZPXin/l/1wslisfAV8xonOn8wizPzNyME6/9bv4u9XjUxg+lMqN/pbv5c42g3f9YL4+t97Tf0r3ODvJntDVWBNS//WH56fpohn3ANwwiHw9wrY8ZY8qmfW2+MVajX7zweTyAQCIVCgUDA/weArw6CwWA4HA6Hw6FQKBwOB4NBj8fDlYmbzYM3A5fLxacAv9/v8Xi4br5r164PfOAD9caVhveF+hb7Q9L8scAsZd26dfzM6a1bt27fvv0DN4IdO3bc8D3/144dO3bu3Ll3715RFBFCXPvh2gNCCEIIAOCaBGOMTwFerzcQCASDwUAg4PP5OJPcLvAVA+cfn8/HWSgYDPJsTeC8EbgJmGzj9Xp9Ph9PGbw58PQej4frMbwufr/fWwcmeWso5DwZiUQikQiXrFzAmJK+Xjysgfp/OZ1OwzCCwWA0Gg2FQrzWZo1CoVAkErm+mu8PhuHzeLy67uFyV9edPFLaswp8mjbHl/c2gbet+WzOAKvhWldLWdOYa6CeAW72vh58N4f6BLwT18wkt1vHeqp4zvy5Pk8zDec0kzlvt6z/22BSy3nY5PabtbP5lbeuL7xer/mJORD42AkEAitresvqLrs77riD2/A3bdrU2Ni4devW9evXb9mypaGhgZ8bw/ebbd68efPmzTxlw6p+cMcdd2zevPkDH/gAT8bvkdu+fTsXips3b77jjju2bt1qBrHz91u3buWn1vDpb/PmzXy3G9+/vmnTpo0bN/I3vDiLxbJly5ZNmzbxDLlOYJLU0NCwZcsWvil/48aNjY2N/Fo5XtaGDRs+8IEP8Ez4fX38vruGumNweAts2rSJV7leGNSLW67ZbN26lQczbtq0adu2bZx+PpWbB+Y03ERduC1ouDZWoLGxccuWLfv27eNLFsYYnwQjkQgX4WsmUC6GvV6vpmmmdbTearoG/kf/0/XvEUI2m23Pnj27d+/evXv33XffvWPHDu4S2nQ7sH379k2bNm3ZsmXXrl133nmneSRRvbw0xeety9p1dfDHkt+3VfofJZ96fuBcfTOXEFdG+XjcvXs3hNDhcHhXp7z3Ea43BC7PuEhzu92KoiCEJEmqt8nXc0g9b9RbrXGdoRtjLIrivn379uzZY7LN7t279+7du3fv3t27d+/atWvfvn2SJKmq6vV6uZT1+/2GYVwvVvlcyR/49OdwOAAAu3bt4poTH5t83ti6devWrVv5NHJD4Ck3bty4efPmbdu27dy5kxO2a9eu3bt379mzZ+/evffcc8/+/fsFQQAA3Mw7e7NxZLc73W4jEFhp1VAoEAj4/H4v15LXqNHeOpF/i8B72XzmgiEYDHIVzahb+XFF6taUvWsk620B19pNacQnqzXl1jPn/1g7U67zn1y344TxnLlO47t2dWs+32573i7c7qrJe53ia+qUN4Q1M3z9WKgfGuZ/DcO4Kukbrl3l8MWH+ZOLLsuqRG+4Nki+oaHBFMPm5w3XbTAzD5zhIf31ZoCGhob64DWTGC6GLXXH11wv/+qLNpfa5ss1taj/kGswZiyemQMX8OY02nAjZ7k5g9dnaD5cH4W3Zqa+XVgzy3OCeSm8p7Zv337nnXfeeeedN1wR8qmN7znkioKpBv3e0FgHXKt7n4a69eo31Bldrhdj9S3/PuLz+qLfR9Jfn/iPDmvK/X25wLKmCvXNYr4339SPvsbGxm3btnFmuJkt4X1gy5YtnMF27Nixbdu2TZs2cR7YcC2sX4UNNwFT5+aK/g2bor5qDatWkC1btuzcufOee+4xLRlrQJIkSZKsVuvu3bvvvPNOroLz/bH1zXLr7XwrnzSszh58FNz62OFK2I4dOz74wQ9+8IMfNMcsH6fbt2/fuXPnnj17bDYbt9ZItwlinXsLACCKIoSQWwG5DsTFKpe4un7VlrAGzHXhLYL7JmCKXu+q25iLHy7kuMOOEMJJ5Taqm4HZ3WbtIIQ8T55hOBzm6mA4HHY6nbIso9VICzNM4Xbb83bhev6s59LrgRPGq79//36unpoD9nrYtm3btm3btm/fvn379m11sMb4Z8Ldd9+9efNmfvlsg8Vi4ctfy7V7ySwWi3k93fUD4PpVr3nITL2h3nKt+XrNDN7Q0FA/7BtWJWj9VFWfZ0OdYnFDgz/PyqTHJIC/qbf8Xz9017x5n+U4T8zbxPxbT0Z9Tf+Q+f0Phz9QwNxWQfXGjN8jh3ovEgfOltdn+P9vk/7e0FCndtyuxmDmUK9DcMa+oRrxe/fC9TTfFgvdjJ7rwTSP1dfoZtqMKVbXXQfXJzbnCnNOu3Wq1uRjNmN9cbeYw21Bw7VzIB9KDXVj6hahnlQOjY2NO3bs4HLFarXa7Xa+mucL6JtZlW937f7+a3puDbJarXv27PngBz/Y2NjIDcPmAF+36hV9n6rVTy+8lbhJlZth7rzzzn379u3evfuuu+6yWq07d+7cvHmzyQlrGOz/Pbz/uOZ1eR9DnQn1ud06d/1/TuT/FHDgccAAAAAASUVORK5CYII=" />
</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Binding of Issac as an example of game using room map
(map of rooms at the top left)</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Analysis
of problem:</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-style: normal;"><span style="font-weight: normal;">While
playing this type of game you usually start at some starting point
while looking for the exit. All of the generated rooms should be
connected. Otherwise the map would be made of islands and it would be
impossible for player to visit some of the generated rooms. What
would be even worse is the case where the starting point is on one
island and exit point is on another. This situation makes for player
impossible to proceed. </span></span></span></span></span></span>
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" src="data:image/png;base64,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" />
</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-style: normal;"><span style="font-weight: normal;">Example
of properly generated maze - all rooms connected (red - start, blue -
exit)</span></span></span></span></span></span></span></div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0lwETeYoQLb64uU_Hg49UXDtIXXcsDZKTkE8HM_OzNMfZZ_Ncx9FDCmAzd8QnZqS5zUtqK8BxKFQqtC5dXSuXRXK-19_TdlyDSAeNvB8LGwLIS-CpfybwyTIgqCX2nJxp-GY5gihNFIY/s1600/01.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0lwETeYoQLb64uU_Hg49UXDtIXXcsDZKTkE8HM_OzNMfZZ_Ncx9FDCmAzd8QnZqS5zUtqK8BxKFQqtC5dXSuXRXK-19_TdlyDSAeNvB8LGwLIS-CpfybwyTIgqCX2nJxp-GY5gihNFIY/s320/01.png" width="308" /></a></div>
</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><span style="font-size: small;"><span lang="en-GB"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-style: normal;"><span style="font-weight: normal;">Example
of badly generated maze - player won't be able to get to the exit</span></span></span></span></span></span></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><b>Follow the
link to get to the finished game:</b></span></div>
<div align="LEFT" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">http://www.filedropper.com/metroidmap</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/MbXKNUlxxi0/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/MbXKNUlxxi0?feature=player_embedded" width="320"></iframe></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><b>Link to
video of the game:</b></span></div>
<div align="LEFT" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">https://www.youtube.com/watch?v=MbXKNUlxxi0</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Algorithm:</b><span style="font-size: small;"><span style="font-weight: normal;">
</span></span></span>
</div>
<ol>
<li><div align="LEFT" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Create matrix with width and height of your choice
representing map with no rooms</span></div>
</li>
<li><div align="LEFT" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Declare number of rooms you want to create (no bigger
than number of cells in matrix)</span></div>
</li>
<li><div align="LEFT" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span style="font-weight: normal;">Create
empty list(</span></span><span style="font-size: small;"><i><span style="font-weight: normal;">room
list</span></i></span><span style="font-size: small;"><span style="font-weight: normal;">),
we will keep there coordinates of rooms</span></span></span></div>
</li>
<li><div align="LEFT" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Pick a cell at random, add it to the list</span></div>
</li>
<li><div align="LEFT" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span style="font-weight: normal;">Pick
one room from </span></span><span style="font-size: small;"><i><span style="font-weight: normal;">room
list</span></i></span><span style="font-size: small;"><span style="font-weight: normal;">,
with some probability if neighbouring cell is empty try to create a
room </span></span></span>
</div>
</li>
<li><div align="LEFT" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span style="font-weight: normal;">If
5) succeed in creating a room add its coordinates to the </span></span><span style="font-size: small;"><i><span style="font-weight: normal;">room
list</span></i></span><span style="font-size: small;"><span style="font-weight: normal;">
</span></span></span>
</div>
</li>
<li><div align="LEFT" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Repeat 5) and 6) until you reach desired number of
rooms on the map (as defined in 2))</span></div>
</li>
</ol>
<div align="LEFT" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Problems while creating match game involves:</span></div>
<ol>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Matrix in Stencyl - creation, adding value</span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Generating map</span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Not getting caught in endless or inefficient loop while
generating map</span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<a href="data:image/png;base64,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" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><br /></a><span style="font-size: small;">Creating exits upon entering the room</span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Updating matrix while moving to another room</span></div>
</li>
</ol>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Working
example:</b></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">In my Stencyl
game there are green squares representing exits from the current
room. You click on the square to move to the other room. The map of
rooms is generated in console(2- current room, 1- room, 0 - empty
space). The map is updated after each switching of the room.</span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-style: normal;"><span style="font-weight: normal;">The
solution was made for problem where you can move from room in 4-way
fashion(up, down, left, right), no diagonal movement is allowed.</span></span></span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Creating
matrix:</b></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">Stencyl does
not support matrix so we need to handle it on our own. If you ask on
forum about "how do I make matrix in Stencyl?" the answer
you are most likely to get is "create list of lists". It
does work however we will present different approach. Using width of
matrix we can write matrix as list and use it as matrix by properly
translating the (x,y) into list index. </span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" 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</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Input Matrix (</span><span style="font-size: x-small;"><i>M</i></span><span style="font-size: x-small;">)</span></div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" 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" />
</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Matrix written as list(</span><span style="font-size: x-small;"><i>List</i></span><span style="font-size: x-small;">)
- yellow numbers are equal to the index in list</span></div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<a 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<span style="font-size: small;">Let's assume
in our matrix we start counting from 0 in both rows and columns so
M(0,0)=10. In order to get M(x,y) from M represented as list we take
List(width of matrix*y+x). For example we want to get M(1,2)=12. We
have our matrix written as list and we know that the width of matrix
is 5. We get list(5*2+1)=list(11)=12. Similar thinking can be done in
order to put value into Matrix.</span></div>
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<br /></div>
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<span style="font-size: medium;"><b>Generating
map:</b></span></div>
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<span style="font-size: small;">Map
generation goes according to algorithm. </span></div>
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<br /></div>
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<span style="font-size: small;"><img alt="" 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" /> </span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div align="CENTER" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Start
- upon entering the room</span></div>
<div align="CENTER" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;"><do
after> is important because we will have plenty of custom events
along the way and Stencyl can't see them in "When created"
moment so we give him some time - as little as possible. We set width
and height of maze. If there is no map generated we go to generating
the map. Then we create exits based on current room we are in.</span></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" 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YNT+Pja43qH0B0r8o7Sfl6vJTHNs8nI9Xq9RqPhWFSj0Xj48KGzHZECgIkgsUiFHEW2FsWTAhsHKiBH/F72j/aU8T00H4S/lHvfwnU7lsrlcvSS5KQiZdWMUEFNgYhDhPNGSrngu4E2y/Own4RwJ9nAZ0vQJN1HDkRUAc2HkjI6QWHSfAj3rcglU9JuwZ3itDTugsY2OIWPr9+r26xU20K0q5qGR1+H/r+0G5M0z/Do8sGDB6urqysrKwcHfhYakQKAiWCwjNTBxpJNRmoYkVoKHShK2lSRGjQjpcwHUZmUqIyUfkoeWqS0+4VSRTHf+jWTtHlJTsQ06X5Stb1qRsq2SUOLlP78WYiUkzWJdCmLjNRgIhXb4BQ+fsRe3WalUq1q2x2ZfEyUkdJl/nTnRY29vb29vT15CyIFABPBaNdIDSxS12Zng2ukTHvNzc1JTYhcIzU3N/fo0SN5WJe+KEdPPKXwCo+YNVLhSSpWpPoVektqrJoRqkzXTrUN3rqfsmYtjvbdqPU3agrEtEbK0KQ0MlKm9rhrpMIi1W1WSsHTa3ysGbVGSi+LcRc0psHBOgf7+JFntV2NSJ6GPk6CNVKm5plvOUMcHx+rSWVECgBySBF+tWcfN27csB7JCWG3xIWYoJiYC7q1taX2X0QKAHLIdInU6dOnb9y4IeelCGNMzLxL2ETk+vg8xfHx8dbW1vz8vNp/ESkAyCHTJVIEQUxoYFEAkE/iRerCyrmsh1CCIKY6sCgAyC1WInVh5dxMdCQaDQmCIJJG5gMlAEAUtiJ198p/jGLGzqVmZmYMlQAADEDmYygATDlWIuWUicJepMz1AAAMQObDKABMM/EiZS7gEOtSMzMz5hoAAAYm85EUAKaWdETqw0v/YF7ikPk4CwAFxluEAAAwZlITKfM6hlTGysXrJwGgqCBSADCJpCZSo2bx+uMAUGQuDZ66RqQAICsmQ6Qy/64M08KlGciQH899D5ECgMliAkRq8frJ7L8rw/SQtUxMOYO5FCIFAFmRd5HyLSrr8R0AxsMALoVIAUBW5Fqk+o9adCJ19ncbYM8ws1rmjR//mfnx3Pc4Xdlei6QuhUgBQFbkV6T8BSuKSJ365QYkZTAtyLzZmZyZgUUq888y6QzsUogUAGRFTkUqsOw3KFLOgHvyF1cgKYNpQebNHv+ZGUykpud0je1a2LsUIgUAWZFHkQr/eAqRSoknnmpgBjZnBpHK1bVApAAgz+ROpDQ/QUekRjNFYQZRZwaRys+1sHQpRAoAsmIokepc//2/CSfao7KowonUifn3doQQYn9t/vKY6ym2SEWdEJsTlWeRSuuGiaz//Ef3+714P/OLqF4LS5dCpAAgKxKL1JdCCNH++OL3Oxf/8bMvhRCffnb9+yO0qJREatSz0ShaYi45gDcURqS0n1HeGPU6qsKkInWp85m499sCiNSJ+bfWD4UQX62fz7hfRF0LS5dCpAAgKwbPSHUu1j2pGqFFTbFIDVbPNIhU7AkZkUgtXHzx/S+FEOKLzovFyEjlp19EXQtLl0KkACArBsxI3VurfSnkGOrRXsx/zWEUqRPNfakZzsTpfMl24qv1895U6heTB25nItm53X/v/s231tzXO83L0mTjF1Ar1B7XPHW5R+yXjG62bAP+EV85o6nH/ElDU5RT4ovOi5c6nzmv726cMpjBuE+Uc2Vvv9cvf/jR/Pxl54gf/LPNmfHi8J7uhBvOjCpSCxd/e1cIIT57//qpqBvVeLqiLqh6HcMnVrlhvLMdecOs3/xKvfrBE6U/dWq/8KoKntW+eEXXabxPlD5rKVIGl0KkACArhnm0l05GKj41YhSp0Pdp+VFFf/HH4UfzxrTETnjGCsxegYdH/dUk3izSn8l2mpejjhstUmKn6Zc8c+YP6u5nznhz7R+kA4Um4EA95k8amqIWrv/xCyHEl3/9718KrSLoTvX4T9T+Wv/FV+vnw/KhPTMRGanwibIXqYWLv70rPnzzYqRCxZwu5YLqRCryxGovtPGG8R1F/oyD9Qs3/ueO5nCmNsR9nMgcmE3eFJECgPyQvUh9eOkfYpakGEXK+7IrhJO9CM0lmplVN2GYngdJq3HlCn05UJMxXjGjH2gmS3l3SRdMmQz7J1nqFLWw8aFzsFAuyuys4zlR3sXdub0vbr+3dlvs3PzofuAqW50Em5MTn5FypDN5Rir2ksV+BONe+htGez6T3i3y9uQNMx0o1GcTiRQZKQDIG7kQqRiXslgjJY3jf9Aunh1YpIyzhX8U+0W7EUfRNFv7booiNVBGanwn6qT0DOj+zbfm+8+YQukNzZkZhUi5qakEa6RGIlK6bJDNTX5ywIxUKKdon5GKP/OW18LGohApAMiQvIiUyaXiH+0Jb4o9GV47Ik0G/soMzVoQ0+wbWNIhz22BQ0Qd10aktLtrZtCod4NzUtQnTWWN1NhOlHSupKnaLg0WPAn9NVLDi5SHza/2LJN21iKlfEDjDRN9MkOVWIlU3O7yxU32cZw+ayNS/GoPAPJJvv4gp34CK9bfkRoS87oiM8X+1d4w5PnvSE0b/B0pAJgs8iVSepeaWJHSrQeKTBgkqWrAv/qTW5FK8UQNBiKVH/jL5gAwWeROpDQuNbEilTdyK1KZg0jlB/6vPQCYLPIoUmGXQqRGMD9hBoYzg0jl5FpYWhQiBQAZklORCrhUUKQWL81kPtxPHANY1JSc6qgVOZyuzK+FvUUhUgCQIfkVKd+lFJFavDTzxFMNsGcwLZiGU52iRU3D6RrbtUhkUYgUAGRIrkXqw9i/1QmQKtxveSCpRSFSAJAheRcpz6V+PPc9gFGTuUPAj5NbFCIFABkyASL1IXkpgOlgMItCpAAgQyZDpHApgMIzsEUhUgCQIRMjUo5LAUBRwaIAYBKZJJECAAiBRQFAtqQjUlfmnjSQaEwEALAn8zEUAKacFETKGct+FR1X7FzqytyThkoIgiBsIvNRFQCmimFFyrGoZWPYi5S5HoIgCJvIfGAFgOkhBZFyRq45Y8S61JW5J801EARB2EfmYysATAljEqm5uTnzQocxDKwEQUxPzMzMZD68AsA0MD6RMi9rsB8fFxYWarVanSAIol6v1WqLi4vPPfccIgUAmTA+kUolFhYWlpeXt7e3j46OBEEQ0x29Xq/T6ayuri4uLiJSAJAJEyZStVpte3s769GbIIgcRafTqdVqiBQAZMKEiVS9XicXRRCEHL1er16vI1IAkAkZiNTs7LVdIYTYvTY7m7RAvV6Xxs92tVQqu1FpdoXoNiv+lmrbKxm1vV+L91bJfy9yl26zUml2RbgOv3Coqoj6Y96Sm1GSjteuBv4p2tVA87rNSqnkVtVtVir//Em3WSnJlberJeVYA5yfmFMX2eZ21d9FOY+hM+kVSHqNhjyB8nWstsOtUlrdb0b/tCqXwCvebVb8T9FvRNRHiDhiqLX68xnf2hGfEG2rNGcpcbXRgUgBQFbkMSOVRKRCs6c0b3WbFf/dqO1hq5AmlchddCIV2aTo+k1vhT5RJdCS8CxYrVb9Ld1mpdJsVr1J2p+t/Uk24igJz0/MqdO3OXju2lVVftRrOsg1Cn20BCcwdGD/rEV4mtps/SVQ/LXbrFTb0R9Bf0Tt5ZY+i7OLubWjPyGRVzlirwTnOTIQKQDIivRFalcIIQ4ODvoD3O61WU+MNjacrZ98IoQQu68/+7qzfXfXKXuwseQV9mJ3cJEK5AJ02zVOJMuHtioh2lVbkTLUbzq0srFZ9b7GV5tq+5Wm9lshV+hMVnqNGuT8xJ46bZsjdccL5ZoOdo1Che1PoNyQOK3RN1t7CczN03wE3RG1l1vTsHiRGu0JibzKur2SnWfRarXkn+y1Wi1nOyIFAFkxKpHaWJqdXdo4EEIcbFT7wuRFSKTE7jW/8NLsbCqP9pSv/7rtEQO79+xBV1USkTLUbzq0HM6U5qQv2lXnpTLz+tv8ibDaVjID0Y9Lkp+fmFMX2Wb5mY6uMYFranGgiGs08An0Gxl055hHTopIhS5BpCFEfQTNEfWt1ZzP2Ed7oz8h+quss+Rk51n0er1Go+FYVKPRePjwobMdkQKArBiRSO1ek3zIyzw5YqTdLstTGo/2QqmXiO1W2Q4lizP+jFRXeh4TkCZp5ZDsMP1GtoMVGp5JJj8/FqdO1+ZQeQuZHOwaKYVtT6DQ1pY8IyWClyA+IxU6qPbe1rY2UMBdaRSXkRr5CVFbpe41YLUPHjxYXV1dWVnx896IFABkxyhFKpyRGqdIhaZpw/aohdixD1C0EWqSuf7YNeAiONGGVUmTPArmpiqJRSrR+Yk9dZo2BzXNJis35DVKeAL112EgkQpegmHXSGlbqz+fViI1whMSeZXlvQY7z/3Y29vb29uTtyBSAJAVIxIpLzRiFCtSc3Nz0kKp3dD4+OjRI2nYVR/tBZ8k9MflqO39f/nfwv3NkbsYfCRqrbSu/pi39M2QNmiWtYee5oWXr9uJlLA8P4a3Ituc7BlZ0gPpVTThCZR+biY1MvZhWfD3aBGXIPApYu7M8BH1rdU3zObR3khPiPbd4FkapNrIOD4+nlMCkQKA8TDCjJQ6tKUSN27csBxeCYKYhtja2kKkACArJk+kTp8+fePGDSkvRRDElMbx8fHW1tb8/DwiBQBZkce/I0UQBDFMYFEAMDaGFakPL/3DhZVzWQ+bBEEQ/cCiAGCcpCBSjkvNREeiEZAgCGKYyHxUBYCpIh2RunvlPxqYsXOpmZkZcz0AACEyH0MBYMpJR6ScMlHYi5S5HgAAlcyHUQCYZtIRqVhiXWpmZmbIQwDA1JL5SAoAU8uYROrDS/9gXtaQ+UAMAJPLlbknMx9MAWA6GZ9IAQCMCEQKALICkQKAiQeRAoCsQKQAYOJBpAAgKxApAJh4ECkAyApECgAmHkQKALICkQKAyQaLAoAMiRepCyvnMh8oAQC0YFEAkC1WInVh5dyVuSejSDTkAQCkSOZjKABMObYi9avouGLnUlfmnjRUQkx6ZH4rAwAAjB8rkVo2hr1ImeshJj0yv5sBAADGTLxIOXOk+X/Ki3WpK3NP2vy/xcSkR+Y3NAAAwDhJR6Tm5ubM6xjGMIUTeYiZmZnM72kAAICxkZpImRfQjGEKt4mFhYVarVYnho5arba4uPjcc8+FzjAiBQAAU0VqIpX/WFhYWF5e3t7ePjo6EsQQ0ev1Op3O6urq4uJi6CQjUgAAMFVMkUjVarXt7e2sJaQ40el0arVa6CQjUgAAMFVMkUjV6/VALqrbrJRKpVK17W9qV/v/9F5MVnSblUqzO6aD9Xq9er0eOsmIFAAATBVFEKnZ2Wu7Qgixe2121lCsXq/LHiC5UrtacvxjFCIVVZV30IGrDbVZWIlUt1kplcrlcmmoo/cDkQIAgClnakVK6xzjFKm0IpFISQXSyF4hUgAAMOUkFinXWpzYvTY7G71ld9d942BjySu0ey2+wNzc3Ozs0saBV+3BxpK6l7zRb8Drz76u9SpZpLrNSrlcLpfLpWpb509a++k2K6WyG6Vq0/un5CZ+Aa+ifvlK85Nus1KpOM8T/+weotusSMmhdlXJFHWbFact3gvRrv67ly5X3ab79Yv+AYKtCtblb/X+4Tc7Kk3VarXkn+y1Wi1nOyIFAABTTmKRcuTGcR1Jdw42lvyX1b7KyM4U8KfX4wvEVSu9H8pIRSWoojNS9iIl7yLrk1LYLytVFSgZ2l5pdiMe9vWrciSpL08v/VnbVOkAMa0K1huXmer1eo1Gw7GoRqPx8OFDZzsiBQAAU05ikQo5imwtiicFNg5UQI74vQZ9tDeYSGmUyMsPOSmibqhkwFmCh+i7lFZjus1Ktd1tVqpt0a46r/6sb2pUC3WfIOh6Un5OHw8ePFhdXV1ZWTk48POEiBQAAEw5g2WkDjaWbDJSw4jUUuhAUdKmitS4MlKKSOmVxkKknOxRtEt1m5VKpdpfWl6pVCrNTwYTqbg1Uub1XHt7e3t7e/IWRAoAAKac0a6RGu9Zz+oAACAASURBVFikrs3OBtdImfaam5uTmhC5Rmpubu7Ro0capUgtIxVcROWWdfI97hqpsEh1m5VSwKh0MiU99HNfhtNg3hopo0hpfrXnLReT22wTx8fHatoPkQIAgKmiCL/as48bN25YewIRE1tbW+oZRqQAAGCqmC6ROn369I0bN6S8FDFIHB8fb21tzc/Pq2cYkQIAgKliukSKGGlgUQAAMG3Ei9SFlXNZT9DEBAQWBQAAU4iVSF1YOTcTHYnmWqKokfmtDAAAMH5sRepvZ38axYydS83MzBgqAQCAAch8FgGYcqxE6l9P/dSAvUiZ6wEAgAHIfCIBmGbiRcrpqFsnf2Yg1qVmZmbMNQAAwMBkPpcATC3piNTWyZ+ZF9BkPsoAABSYC48/mfl0AjCdpCZS5qf4mY8ykBMWr58EM5lfI5hEECmArEhNpABiWbz+ONiQ+ZWCiQORAsgKRCobNn/0szeeP/tytVbPfSwv1a69sHDz6WeH/Mh9S7g04/K//3r1TO03S8O1rvbr87/4vy/+RKq2IGR+i9Ij8hlR/RGRAsgKRCob3nj+7PLy8vb29tHRUdb/44sper1ep9NZXV299sLCkB85JFK/Xj0z5Bnw2vbr87/I3HtS58dz38v8LqVH5C0M/RGRAsgKRCobXq7Wtre3sx6WbaPT6Swv1Yb8yCGRqv1mKZUz0Ol06vVa5t6DSE1Vj8g2tP0RkQLIikFEanP+na/7PfrWnRPPDDx0bp64ejh0JRNKvV6foG/evV6vXq8P+ZFDIpXWGXDalrn3eCxc/O1dIYT48M2Lp9IVqWH6nWVHy7BLBu+HdrVUbQ91X3SblUqzm27JvIS2PyJSAFmRWKQ2T7y0f18I8fn+/CBDrTxSa0ftItmV4bPU63XjUNmullIZ3DUTUrs6SM3qwJ30SqkiFThAt1kplcrlcin5B58GkRqy341HpIbZPXg/ePetoSOYZWs8IjVMP+02K6VyuTzwPR86gYgUQFYMIFKpDbVFcqak80qcSKUVwcmmXR1s1BYjFylpMks+r02HSA3VWSYiIyVdUpuMVB5EaphoV73mJ/cxRAogPyQWqcNAd751+4evSVsCerS//rmzURnQvdj/uxBC3Drccf75+f58wK42127JxwoN7uq77r7yFud7vKZ++aBb/jf+wMbI+UZz6KgD+cWSiJQ3SXSblUrF/eYquUZ/S7lcdmcTaV5xp4Z21f3K6w/TMdNGq9WSfyLUarWc7erAHXsnJBCpQKMiW2hoW4TN9OOLzouLl2YWNj6UtoVFx7Gfu/ecdz97//opWYm81/+y9mqwpPii8+Kb7uu7G37Ju9LGxUszCxdffP9L7+iB+t/vfOY0ySBSafQ7754Xh2v6ez66dwRu5q/XX+p3gfvvfCDd/AevvKZ8TbJtYXRGyusIgfyN7t6WQ9tH/MRnsDfFdDG/BW49rvlIna5dDZV3Ky6VYqUwulPa90dECiArhspIyY8b+gs47r/zl8AQHx4udRkpcbim7u5NFZFfjkPveqO5M0lsBZ+GqM0LHvTXaskPor+URxw6vPtwj/aU0dt/KY+73laNSOm+tceIVK/XazQazqjdaDQePnzobDdnpKLOQLoiZWhbZH7o+h+/EEIWoKhEkSNedzdO9Xf58o8XpV0UkZKdKeBPgQJ+VY5Fffb+dbV+L0wiNWS/s7zntb1Dvo7uOq1bt/u7i8M19wvPzlWvkbeNlWtbaBYp3T1hn5Fy+4isQn4BbRfT1qTqnfsisKNrWdraNGHKR9n3R0QKICuGFCnNa7MAJdr9zo40ouxcDVUVele1FiUnFK5fOWigpOHpRsShw7ubH5ToB85+BDJS7iCr3ehtTUekhBAPHjxYXV1dWVk5ODjwNg5wKe+kLVJRbdNkpPr+5MWHb1485eWNhBDi3m91IqVPPsVutN4r0CSz2xlFKnG/s7zntb3jzolnpHXu/ZJ+wnjnqtMdDtf0jbFsYbBHqMoipaDUFKwmdH1EShpJqSNtF/MPJye9+kX9ZYaazieM9heOdjU2X2XZHxEpgKwYXUYqBZFSdzFUKH8JVhNF5gao+w55aJvd48ZXS5Hyvs5K32v9l4OIlBBib29vb29P3hJ3KYfLSCVZI6W2TRUpreuY1zCNRKR0GSnL1VSDZqTiREqXkYrrHRF2JT8ZDKZgjRmpAUVKec9epKQUkebW0nUxue5QbqtSrarlozJSxjvZQqL6YdMfESmArBh2sblhJUTUcCktMOqvkdKO2qFvzN4Du+DcEHg3bo2UsJ0VQgUUJ9AdWrN78MPeCrX/228e6cZMJ2JFKryAw9nqfoGuVCSn8r9SS9/IE/26/Luj47hLmXiN1OKlmUfHD/09Bv3VXq93rHmiF1gOJdSckLNuKda91MyWtUj5uzieFFwjFa4q6WLzpP0u9EzNrcS6dwQWBQr19g52wJg1UlEjg9QjNI/21PxQ4N4Oh76PyGuk3DstvovJhwjaT+waqeh7WWpJuJFxoe2PiBRAVvAHOU04Q//X6y+NovLu2+/aDpyaMXisvzP6tLU5/OdVRepPf/2vw7ftX2+9M8yP43LLtP1BzuF6xHSFtj8iUgBZgUiZcERKTYalwvtPz3bffvfbbx5Vg19MLdL94xOp746OP21t/uknPx/+86oi9ctX/48//fW/BvJSSaLXO/7XW+/8+neVzKUHkUq3RyS8EdrJe9CYI7UWGvojIgWQFYgUjAlVpACRgrRApACyApGCMYFIYVEwOhApgKxApGB8ZC4oEwEWBQOASAFkBSIFY+XHc98DM5lfI5g4sCiADIkXqQsr5zIfJgAAQAsWBZAtViJ1YeXchcefjCJZhwcAgBTJehYBmHJsRepvZ38axQU7l7rw+JOGSgAAAGAUZK4axcZKpJxlUlHYi5S5HgAAABgFmdtGgUlnsXmsS1nKFgAAAIyCzIWjqKT2qz3zU/zMbyAAAIBphhV1eRcp8wPazG8gyAmL108CwJBk3pFhEkGk8i5SALH0/7g5AAxN5t0ZJg5ECpGCyaY/AYT+kHfW3+xhKsj6r9WPiMw7NUwWiBQiBZONRqSy/k4PU0TW0jMK+Dv4kAhECpGCySY8nxV3egMYD4gUJAKRQqRgsrERqbO/2wB7hpmDM2/8+M/Mj+e+l7n6IFKQIYgUIgWTTaxInfrlBiRlsAk482ZncmYQKZhyEClEqlBs/uhnbzx/9uVqrZ77WF6qXXth4ebTzw75kc0i5Ux+J39xBZIymEVl3uzxnxlEatKZoGEz24gatBEpRKpQvPH82eXl5e3t7aOjI5Hj6PV6nU5ndXX12gsLQ35kRGpEPPFUA5GyOTOI1KQzKcNmtmEYtBEpRKpQvFytbW9vZ93jbKPT6Swv1Yb8yIjUeHQBkYo6M4jUpDNZw2a2oR20EakcidTm/Dtf9y/WrTsnnhm4V2yeuHo4dCWTy7ffPMqwmyWK746Oh/+8xRapE/Pv7QghxP7a/OUx11NskYo6ITYnKrcitXDxt3eFEOLDNy+eSlekhhmcLUfjbMdtadhsV0vV9lADW7dZqTS76ZbMS2gHbUQqLyK1eeKl/ftCiM/35wfpRXIn1HbIItmV+bMYe0G7Wkql38pjTbdZKZXL5XK5XEpeedJPpzIKkUpLX0Y33yctOYA3FEaktJ9R3hj1OqrCaROpIQfn8YjUkLvrBjfDaGmWrfGI1DCDecqDNiKVH5FKrRcVyZkGGDIG61gJQx5H2lXpZdJeOfyAiEgNU880iFTsCUGk4kRqqBF1IjJSEYObzQCoRv4zUikP2ohUXkTqMHClbt3+4WvSloAe7a9/7mxU+qoX+38XQohbhzvOPz/fnw/Y1ebaLflYoX6rvuvuK29xvqJp6pcPuuV/mQtsjBxKNIeOOpBfLIlIef2/26xUKu6XErcf+V9TyuWyO1BIQ4bb69tV99tMqAdGDwutVkv+9Uer1XK2Rwy7/qdT74RhROpEc1+q3Jk431r3D/DV+nlvKvWLyZOoM8vu3O6/d//mW2vu653mZWmG9guoFWqPa57v3SP2S0Y3W7YB/4ivnNHUY/6kIV1wSnzRefFS5zPn9d2NwGwdOtXjPlHOlb39Xr/84Ufz85edI37wzzZnxovDe7oTbi9Srs0I74wtXppZ2PhQ2hYWHcd+7t5z3v3s/eunZCXyXv/L2qvBkuKLzotvuq/vbvgl70obFy/NLFx88f0vvaMH6n+/fzU/NIhUGoOzNzCKwzX9wBg9hAZGvK/XX+qPk/ff+UAaIQ9eeU35Lm3bwgiRkkfLQP4mcgDsh3YgdTarQ27MOOy3wK3HNR9pZG5XQ+XdikulWClMY9BGpPIiUsGUkp9J7j+bv//OXwK9N9wTdBkpcbim7u6NApHfe0Lveh3V6f9bwUS32rzgQX+tlvwg+vtWxKHDuw/3aE/pmP5LuUt5WzUiFfGFzPTVptfrNRoNp0M2Go2HDx862zU2GXcnhE5gIpEKJRvcSfqr9fOXT5z/6L7oT8CGtIQzyO80/SlZeh18eORU6G70hGCneTnquNEiJXaafskzZ/6g7n7GVaVX+u8GGubpglyP+ZOGdGHh+h+/EEJ8+df//qVwJmNzRiqjE7W/1n/x1fr50GfXn5mIjFT4RA2QkeqfMUmAohJFjnjd3TjlnuQ/XpR2UURKdqaAPwUK+FU5FvXZ+9fV+r0widSQg7PlwKgdQuXO7q7TunW7v7s4XHO/Fe9c9Rp521i5toVmkdKZhn1Gyh1IZRXyC2jHYW1Nqt65LwI7uoOwtjZNpDNoI1L5FCnNa7MAJdr9jvwNdOdqqKrQu6q1KDmhcP3KQQMlDYnriEOHd09JpLz+o93obbUTqXY19qvPgwcPVldXV1ZWDg4OvI0DXMo7Q4iUlxQRwslehLIRIvb5TuzzIFcLQhX6cqAmY7xilk+glCSKCOqCYZcET7LUR3teWiWUizI763hOlHdxd27vi9vvrd0WOzc/uh+4ylYnwebkxGSk+v7kxYdvXjzl5Y2EEOLeb3UipU8+xW603ivQJLPbGUUq8eBsOTBqh9A7J56R1rn3S/pPFXauOmPm4Zq+MZYtNIuUkHPwap5eE7qBVEoaSakj7TjsH05OevWLtqvuBs0ILYz2F470Bm1EKp8iZfjSk4JIqbsYKpS/36iJInMD1H2HPLTN7nFdx1KkvG8q0lcW/2Wg71r0x37s7e3t7e3JW+IuZcoZqZCdvCKldqL0JZFIGSXGP4qcaNE6QZxIaZqtfTdFkRooIzW+E3VSem57/+Zb8ze/cl4H03KaM5O6SGldJ/jUT/9oL2WR0mWklOePA4hU4sE5rETBjFTcEBphV/KTwWCe3piRGlCklPfsRUpKEWnMRjcOh37JI+e2KtWqWj4qI2UUqXQHbUQqjyK1Fc76WC0hlxYY9ddIaTtk6MuQ98Au2O0D78atkRK2HT5UQHEC3aE1uwc/bDhHbfzzB7EiFX4272x1vxtVKpJTOd+WPpEe/Id2jI2oP38gf7p010gFUn5NdbGR8B8w+aupNGukTLNvYBmW0CWQ1KU/QqsyUSKl3T2gJkqyJ0qkDJ80lTVSYztR0rmSngPapcGCJ6G/RmrwjFRgOZRQc0JqPk+vR0pmy1qk/F0cTwqukQpXlUikBhicQ8/U3Eqsh9DAylGhjoHBUTpmjVTU9KH78wd+ckfND3kDYFeooR9I5TVS7m/l4sdh+RBB+4ldIxUtUmkP2ohUXkRqqnB69dfrL42i8u7b79r2CU33GutPSD5tbQ7/eYv9d6SGxLyuyEyxf7U3DLn91V5aTNsf5Bxu2Jyu0A7aiBQilQGOSKnJsFR4/+nZ7tvvfvvNo2rwO4dFJnd8IvXd0fGnrc0//eTnw3/ewoiUbj2QGOwPHwSrsnouFqsL+RGpFE/UYCBSxcMbNhOOZO3kw+yYI7UWGgZtRAqRgsmmMCKVN3IrUpmDSAHIIFKIFEw2iNQYXAGRMpwZRAqmHEQKkYLJxixSi5dmMp96J44BLGpKTrX2zCBSMOUgUogUTDaxIrV4aeaJpxpgzzBzcOaNH/OZKZ5FIVKQFEQKkYLJRmtOAGOgkBa1iEhBQhApRAomG61I/XjuewCjJnPjQaQgDyBSiBRMNmSkAFIEi4KkIFKIFEw8mc89AMUAi4IBQKQQKSgCmT/lASgAmXdkmDiwqCxF6sLKuczvAAAAABgMLCp7kbqwcu7C409GkexaAgAAwDjJWjWKja1I/e3sT6O4YOdSFx5/0lAJAMAYyHzMBYCCYSVSzjKpKOxFylwPAMAYyHzYBYAikc5i81iXspQtAIAxkPnICwCFIbVf7Zkf0GY+bgIAeLBqBADSIjWRMq9LyHzcHJjNH/3sjefPvlyt1Sctlpdq115YuPn0s5mfQ65O5jENN0MiECkASAv+jlQMbzx/dnl5eXt7++joSExO9Hq9Tqezurp67YWFzM8hVyfbmJKbIRGIFACkBSIVw8vV2vb2dtZT4YDR6XSWl2qZn0OuTh6i8DdDIhApAEgLRCqGer0+lmxHu1qqttOutNfr1ev1gT/7oRBC3Lpz4hlzsc0TVy1LjvjqDH8Ou81KpdlNt2ReIupm2Jx/5+t+kaGuYIa3wQAgUgCQFolFyjBcTtZIatnyer0+lmnOk4B2tRQ1Qw8iCurcaX+NxiNSw+wevDrDn8PxiJSheTbHLZXL5XK5XEpeiXozbJ54af++EOLz/flhr532OuZ2TECkACAt0hSpySVPIjVkmXAUPiOV6jnMf0aqXfWan9zHdCKVmgRP1siASAFAWiQWqcPAyLz/dyGEuLW//rn8T2lU9cKw0flO7MTn+/P+iOxWeys4divl124JIcT9dz6QajtcM9V8uKNu9FsVNVV3m5WyFP1ZrNuslErhLZVKpVQqOXN2u+rtEj2Hy9kU50U499Cuuv/UTZ+tVkv+lVar1XK2R2Wkbv/wNfVUaEu6BcTh2jP68687q9Is24+v11/SXqmDV15TJuP+hZCnZ+3NEJ2RGuQcyuXL5bJvXOoldq+xstHf3W+BW49rPpLMqfdG6OYxRLTLJbwZ/BPu3hX9f8aef+1ooOtct+6ccPupVHmgXyvv6m4G+3svXBKRAoARMVRGSlGQ/kh6+4e/lmzm6mH8xs/355/pr9W4/85fAqN5eOzWlZdqdobjnavyMwu15sM1f+MHxi/T2oxUt1npz3PyPOnNbPLGQAGbR079F7pZ0pRN6fV6jUbDmTgbjcbDhw+d7XEiFT4V6jQpF/iL8XpFVeWuwgneA/6VGvxmMItU0nMY3MO9ctpLLG8NFFBrUvXOfaG9N7S1acKUj7K/GYLd2dRl3LgVvftV3Q3zWkjco/JVoXflb0TBLfH3nvYuDd3biBQApEUqItUf/qQZUc0xmDcGRmrzmKuW97/s7ly9s+OOqmHJi2yD+amEKlLtakme/srBCE/gwYk7ehpXp1spfeJvME2xDx48WF1dXVlZOTg48DbGZqQMH3+A6xU4q/4q5n5J45WKv23UmyEuI5X0HAbUq19Ue4kjrrF3ODnp1S/arrob3PLae8PmmWHgFtSH5c0Q1Qssz3+i3e/sSO3buRqqKvSuek/a92jtXXoHkQKA0TAikZK+EVpv1B5CHbu1a2MDmfzAk6PImgcSKWUG0057uryGu7ttRkr3XvwaoL29vb29PXlLOiKl+65vPqvRzqpeKZuM1IAilfAchvTITRFpLppOpOS6Q/dApVpVy0dlpIwiZSFR/bC5GawzUimIlE3vNowM9j1aO6qEQKQAIC0G+fMH0moGf1FUeFDTZiO0GwOrGfSDb6QzyUd3W6U8C9DXHLZA/0PdCh3x228eOW+E1khJ63CCP6QKzYUDrZGSj1WSUhnR63s08d3RsXoCE4qUcp6tz2pw1YuIulLRD4utljB7VyeNc6hZ5ORuDv1WTpuRCi6xkg4RtJ/YNVLR11dqSdwdFQ7tzRDxXcgJq/OvHQ1UkQplibxOqr3ZgjeG3Bjrey9ilECkACB1Rv53pEyLZpSFC/mk+/a7tpNVzuLT1mbmZ4+rk5OYhpvBHkQKANJiVCIV/Dap/RnXgH+6Zvy8//Rs9+13pczHkNGuBpMKto9qksR3R8eftjb/9JOfZ3728np1xnEVhovUWjg9N4M9iBQApAV/2RwApgssCgBSJF6kLqycy3zgAwBIBSwKANLFSqQurJy78PiTUSQbwgAAMiTrMRcACoatSJ393UYUF+xc6sLjTxoqAQAAKCSZz/QwUqxE6tQvNwzYi5S5HgAAgEKS+WQPoyNepJyb4OQvrhiIdakLjz9prgEAAKDAZD7fw4hIR6RO/uKKeV1C5ncwAABAhjzxVCPzKR9GQWoiZX5CnPkdDEOS+SIDAIBJQTuKIlJFJTWRggKT+fICAIDJQh1IEamigkhBDPm/Af529qcAABliM1IhUkUFkYIYcn4DOH95HwAgW9TR6YmnGqF/Zj7lwyhApCCGPN8AzviV+R/LBgDYOvmz0ACFSE0JiBTEkOcbAJEaEZs/+tkbz599uVqrFzGWl2rXXli4+fSzmZ/nvFHs655iRN1CoZ+oI1JTAiIFMeT5BkCkRsQbz59dXl7e3t4+OjoSxYper9fpdFZXV6+9sJD5ec4bBb7uKYbhFkKkphNECmLI8w2ASI2Il6u17e3trCesEUan01leqmV+nvNG4a97iqG9hRCp6QSRmjBOzL+3I4QQ+2vzl8dzxDzcACfOf3S/P3zty9tVkdqcf+frfslbd048M/CMsnni6uHQlUwu9Xo9NzmJdrVUbaddaa/Xq9frmuue0v2jxfKOyvDeC1734c98t1mpNLvplsxLaG8hRGo6GZVIjX++zyHySUjrhHj1vHLGVKHhcElbkrlInZh/a/1QCPHV+vlwg0MitXnipf37QojP9+cHmYHkCUw7mRXMrgwfp16vpzTdDDYZy3t5r9vVUtRcO8hR1FlwyPsnlvGI1DC7B6/78Gd+PCJlaJ7NcUvlcrlcLpeSV4JIgQMiNVIDSP8kWNZZLJGKbLAiUqnNQAVzpqQzbi5FKuWj6ERqtBd9IjJSCc9qHkRqmGhX5RstYRMQKXBILFInmvvSjeTkWpyEgRNfrZ/3si9+MflmcibFndv99+7ffGvNfb3TvCxNnH4BtULtceNmYstme23r12kouX7zK6dCNz9kaPPhPf/Q8luBfFXo0AarkDNSoYsSaozu/EcV1shK+AaIbLy65av77nnbabqNPPxoXtrFueLWlYc/S0ikDgMlb93+4WvSloAe7a9/7mxU5jn/QH8XQohbh/3Df74/H7CrzbVb8rFCc576rruvvMXJf2jqlw+65WdKAhvjpmHLY/nFkolUu1p2w52JpDnVnRbbVffrfqX5ifTtv1wuu2Vj95LzIs6LcBZBLt9VWtpqteTfW7VaLWe7OgtqbwDvVjHcTu71El+vv3THfX24Fr5MocJOgSS3QeCSfb3+Uv82u//OB9IlPnjlNeX7gKbN2i4QnZEa5MwL/RV3Nve3u/t1m5VKpaJu9Hf3WyDdcO794m8K35b9ikulWCmMdjn7WwiRmk4Si1QoNyA/dukvZAnMlJqJ2ZtB5dlUW95dGdPf6AnNTvNy1HF15iHv5VnIH9Tdz5yR2uNvNJV0QzohUpu1j/bsDx3xccIipX3GZ5mRsjmNoRvAO5mGG8D9OKGNf/AvhCRV8rGS3kuGjJT8mKa/8OX+O38JzIUiNIvoMlLicE3d3ZtTI3MGoXe9Sc6bXM3NCx7012rJD6JzFd6BvI9zO6KGwTNS8mzmf5HXKFEwYyHPVF4VsXuFp3PdfGfKi/R6vUaj4UyBjUbj4cOHznZzRkoRzf9xaL5e8g0TcWItL672NpCvuLuQy7uy4nDNNfudq+brbu4CZpFKeub1Vzxw83gFpK2BAmpNqt65L7S3pbY2TZjyUfa3ECI1nSQWKS97JIQQt99TEgYidkmQdtlQ4LW/sliu8C15Co86rsE8gjaj2T2Q47EuGfSnyJOgzyQZN5o/jrxL6KIkEan448aZdIKP4/nT+m3/Uia6N5KIlOa1WYAS7X5Hvi12roaqCr2rzqzKPB2uXzlooKThoY99DYOLVHD2dP+VSKTs91InTikRoqa1dPHgwYPV1dWVlZWDgwNvo51I9U9O7P1g81zY8tJEVusvhO+X9DOjO1edWy4o0IbbSX8LxWWkkp553RWXkkZS6kguqTmcnPTqF21X3Q2aW0kY7S8c7WpsvsryFkKkppMB10hp8ytRs3WiydLoGf5RDAuQIzJSgUdy2mbHJpCiPp2NmthlpAYUKbMhjSAjpb8Q+o8TyC1JD0l1KbdxZaRSECl1F0OFcm5AzUiZG6Duaz60/6kHrcFBM5l4EZmRkqa2GJGy30sznXuhn0J1sbe3t7e3J2+xvwG2YjKIyUVKl5GKuw2ijiU9GQwmGo0ZqUgX15zdwc+87orrzUYnUoZsZqVaVctHZaSMImUhUf2wuYUQqelksEd7/XCTQ/ISIuHrhb9wR7NGyuQcgRU/QrvoR1nkJKLMIzpdFN49Mo9iLNk/hNJm5SRYrZEaQKRCJ8d/6BZx/kNvjXKNlKba+f6qMk06Slu5WcrNi80NC0SiZhFpbVN/iYx2MgslEiJWwwTejVsjJWwny1AB5TGfPm+hqyH4eW+FPsK33zwShtCskRLdZsVNHlQqkh1p10hZ76V5wKRmKbzyXVOj/fju6DiRSMXeTtYipVwC+9sgsPBOqBcxeKfFrJGK6gLSdR/+zOuvuLxGyv2tnDYjFVxiJR0iaD+xa6Si7wqpJeFGxoX2FkKkppPp+jtS5uVHoGWAG8CUD4tYHTUY0/wHOZ0Z8ev1lyILWCyoMtB9+13bKcU2cvS3gj5tbWZ+BfPJCK57MUN7CyFS00mhREq3cEooSZf4p4E5IerjjPkvSqQoUt4nun/zrVTahkipybBgL+sqhQAAIABJREFUEmLwP4n0/tOz3bff/fabR9XgV3bbByGayIVIfXd0/Glr808/+XnmVzCfeNc94Xltp3efjChSa6HhFkKkppNCiRSMgjzfANMsUgCQK0IWdRKRmhoQKYgh5zdA5qMnAIBqUScRqakBkYIY8n8DXHj8SQCADNEOTYjUlIBIQQzcAAAASQlZ1ElEqrggUgAAAGmiWtRJRKq4IFJgxRNPNQAAwAbtEJr5fA8jIl6kLqycy3wWBwAAmFCwqGJjJVIXVs4lUm/DzQQAADBVZD7Tw0ixFalfRccTdi71xFMNQyUEQaQemY8vAACFx0qklo1hL1LmegiCSD0yH2IAAIpNvEg5w/GcMWJd6omnGuYaCIIYUWQ+ygAAFJh0RGpubs78hHgMswVBENqYmZnJfKABACgqqYmUea3GGGYLgiC0gUgBAIyO1ESKIIh8BiIFADA6ECmCKHggUgAAowORIoiCByIFADA6ECmCKHggUgAAowORIoiCByIFADA6ECmCKHggUgAAo2OKREoQxNSEfOcjUgAAowORIogChnznI1IAAKMDkSKIAoZ85yNSAACjA5EiiAKGfOcjUgAAowORIogChnznI1IAAKMDkSKIAoZ85yNSAACjA5EiiAKGfOcjUgAAowORykF8/OoPfvDqx1H/JIjkId/5iBQAwOhApHRhUBn1rajC3nb1hblObbHYSghCCvnOR6QAAEYHIpUwBvCY2F0SZaQQKcIi5DsfkQIAGB3TKlIfv/qDH5w+/YPHnDh9oy8or55+7LHHTr/78as/+MGr9/wtbhnx8avuLr7MRBV2tku7/Pv//J8dB/I3Peb+WydS8sHuKbVhU4Qh5DsfkQIAGB1TLFKeitw43Zenvi1JbuRtuXH6sagnaxGF79k82rtx+rHTN7Qide/jV3/g19d3Ox7tEZYh3/mIFADA6JhikfJ15Mbpx37w/2xKW6Qk08eh8gaRitpd++Kxx0LZprBIiRunvUSYuQEEoYR85yNSAACjA5ESYxape3IyTN1X0zb/aSMiRViGfOcjUgAAowORUp7EiTiR8rJExsL31F2Uko5T6TNSH796WrIt3/PUBhCEEvKdj0gBAIyOKRYp7+GaZDnxIuXmiLSLzaN2d3bxFpvfcNek/+D06aiM1D2/1GM/ePVjUwMIQgn5zkekAABGxxSLFCZCFDfkOx+RAgAYHYgUQRQw5DsfkQIAGB3TKlIEUeiQ73xECgBgdCBSBFHAkO98RAoAYHQgUgRRwJDvfEQKAGB0IFIEUcCQ73xECgBgdCBSBFHAkO98RAoAYHQgUgRRwJDvfEQKAGB0IFIEUcCQ73xECgBgdCBSBFHAkO98RAoAYHQgUgRRwJDvfEQKAGB0FEGkZmev7QohxO612VlDsaynNoIYX8h3PiIFADA6ECmCKGDIdz4iBQAwOhKLlGstTuxem52N3rK7675xsLHkFdq9Fl9gbm5udnZp48Cr9mBjSd1L3ug34PVnX9d61bBTE0FMTiBSAADjIbFIOXLjuI6kOwcbS/7Lal9lZGcK+NPr8QXiqpXeD2WkohJU45i+CCIfgUgBAIyHxCIVchTZWhRPCmwcqIAc8XvxaI8gnECkAADGw2AZqYONJZuM1DAitRQ6UJS0qSJFRoogECkAgPEw2jVSA4vUtdnZ4Bop015zc3NSE1gjRRCIFADAmCjCr/YsI+upjSDGF/Kdj0gBAIwORIogChjynY9IAQCMDkSKIAoY8p2PSAEAjA5EiiAKGPKdj0gBAIwORIogChjynY9IAQCMDkSKIAoY8p2PSAEAjA5EiiAKGPKdj0gBAIwORIogChjynY9IAQCMDkSKIAoY8p2PSAEAjA5EiiAKGPKdj0gBAIwORIogChjynY9IAQCMDkSKIAoY8p2PSAEAjA5EiiAKGPKdj0gBAIwORIogChjynY9IAQCMDkSKIAoY8p2PSAEAjA5EiiAKGPKdj0gBAIwORIogChjynY9IAQCMDkSKIAoY8p2PSAEAjA5EiiAKGPKdj0gBAIwORIogChjynY9IAQCMDkSKIAoY8p2PSAEAjA5EiiAKGPKdj0gBAIwORIogChjynY9IAQCMDkSKIAoY8p2PSAEAjA5EiiAKGPKdj0gBAIwORIogChjynY9IAQCMjikSKYKYzkCkAABGByJFEAUPRAoAYHQgUgRR8ECkAABGByJFEAUPRAoAYHQgUgRR8ECkAABGByJFEAUPRAoAYHQgUgRR5MCiAABGSrxIXVg5l/VcQBDEIIFFAQCMGiuRurBybiY6Eg3rBEGMLTIfXwAACo+tSP0qOmbsXGpmZsZQCWETmd8uAAAAIGMlUsvGsBcpcz2ETWR+xwAAAIBHOovNY13KUrYIm8j8pgEAAACH1H61Z16rMQa9mJ5g7QsAAEBOSE2kzIt77C1hYWGhVqvViXq9VqstLi4+99xziBQAAEA+ydffkVpYWFheXt7e3j46OhLTHb1er9PprK6uLi4uIlIAAAD5JF8iVavVtre3s3aYHEWn06nVaogUAABAPsmXSNXrdXJRcvR6vXq9jkgBAADkk/RFanb22q4QQuxem51NWqBer0sW0a6WSmU3Ks3uoDbSrpaq7eGEZqD629XSEK12A5ECAADILRlkpJKIVCoClJVIpROIFAAAQG5JLFK7QghxcHDQn+Z3r816YrSx4Wz95BMhhNh9/dnXne27u07Zg40lr7AXu0lEqtus+DmqUrXp/dPN/IQKtJ1a+v+sNP/SrHhV6vJFyep3apLr/6TbrFQqlVKpVKr+2W1/t1kp+YdqV0v6PFWr1ZJ/stdqtRApAACAnDOgSG0szc4ubRwIIQ42qn1h8iIkUmL3ml94aXZ2iEd73WZFNhJZbxyrkQt4W2Uh815r00ix9WvLSlUFSoa2V5pd08O+Xq/XaDQci2o0Gg8fPnS2I1IAAAC5ZTCR2r0m+ZCXeXLESLtdlqchHu2FREdVFrmAtzVQT7dZqbaFaFd1RhNbv59/clJQXVWY1ON7b8UtmXrw4MHq6urKyoqf8UOkAAAAcswQIhXOSOVNpLz0jyI0lWq1onWauPrlbVEZKa1IOZkqC5fa29vb29uTtyBSAAAAuWUwkfJCI0axIjU3NyctlNoNWcKjR4/ct2If7WlFKryGSbhpJM9h2tVSxOrwZPXLFUprpMIi1W1WSgGjSvBbvuPj4zklECkAAICcMHhGSp3gU4kbN25YSkacCQ1TJi+xtbWFSAEAAOSW3InU6dOnb9y4IeWlEkW8JGkXjucwjo+Pt7a25ufnESkAAIDckq+/bE7EBhYFAACQH+JF6sLKuazlgegHFgUAAJArrETqwsq5mehI5AHEMJH57QIAAAAytiL1q+iYsXOpmZkZQyUEMWRk3pcAAGAKsRKpZWPYi5S5HoIYMjLvTgAAMG2ks9g81qUsZYsghozMexQAAEwVqf1qz7y4ZwwzKEHMsR4fAADGS2oiZV6/MoYZ1CYWFhZqtVqdmPyo1WqLi4vPPfdc6BIjUgAAME6m6O9ILSwsLC8vb29vHx0dZf3nNomhotfrdTqd1dXVxcXF0FVGpAAAYJxMkUjVarXt7e2sHYBILTqdTq1WC11lRAoAAMbJFIlUvV4vci6q26yUSsH/jdn7v5bl/4A5rpKh/h/Csf4/hr1er16vh64yIgUAAOOkCCI1O3vN5n8ArNfrSabpdrVkcAJrNbE9lrY2cxuiqvD2GqlIqUex27/brJRK5XK5ZP3RDIFIAQBAtiBSg8V4RMo+tAYznoxUIpGSCqSRvUKkAAAgWxKLlGstTuxem52N3rK7675xsLHkFdq9Fl9gbm5udnZp48Cr9mBjSd1L3ug34PVnX9d6VVCkus1KqexG3wS6zUql4jwg+7PvB/2tTkkvCdPfMawCoWqbzeCOoQKe5ni1faJrQ7dZkfI37aqSzOk2K9IHUf1Jch03ISQ1SYh21W+zIjfdZsXZ23sh2tV/99Llqnswv/G6cxWuy9/q/cM/J1FpqlarJf9kr9VqOdsRKQAAyJbEIuXIjeM6ku4cbCz5L6t9lZGdKeBPr8cXiKtWej+UkYpKUCki5c3ZriH4piDLh7RVVgl9jkeuVnowF6hZLRsSHbUNzvZKsxv1sC903AiRClTu7iJv1GaJ+hsdSerL00t/1qa7tOcqoplyvXGZqV6v12g0HItqNBoPHz50tiNSAACQLYlFKuQosrUonhTYOFABOeL3SvJoLzB9+5kfZVucoxhMQS7jv/ZSOFL6JyhMmja4b0WuK7ITKSnz5KfE4h/NdZuVarvbrFTbol11Xv1ZfyqiPr6umUGRDKQGdfHgwYPV1dWVlZWDAz9RiUgBAEC2DJaROthYsslIDSNSS6EDRUmbKlLJM1JummcMIqW3DguRchI8kS5lnZGKTDipRw8WqVT7TzUrlUql+clgIhW3Rsq8mGtvb29vb0/egkgBAEC2jHaN1MAidW12NrhGyrTX3Nyc1ITINVJzc3OPHj2SZvTwWqUkItVPoujWSJkzUsFFVG5Zr7ZPIjJlpYBRaRcyWYiUu3toQZK3xEq7RqpfgdTUSrOrPRWfxIuU5ld78UePiOPjYzXviEgBAMA4KcKv9uzjxo0bOvMgJjK2trbUS4xIAQDAOJkukTp9+vSNGzcePXqESE10HB8fb21tzc/Pq5cYkQIAgHEyXSJFFDuwKAAAGDPxInVh5VzW8yNBxAcWBQAA48dKpC6snJuJjkRTHUGMKDLvSwAAMIXYitTfzv40ihk7l5qZmTFUAgAABSPzGQ5gDFiJ1L+e+qkBe5Ey1wMAAAUj80kOYNTEi5TTGbZO/sxArEvNzMyYawAAgEKS+TwHMFLSEamtkz8zr1/JvCcDAEAmXHj8ycynOoDRkZpImZ+UZ96TIScsXj8Jk0vm9w9MIogUFJvURAoglsXrj8Okk/ldBBMHIgXFBpGCMdGfiS/NyJz93UaBCX3YwpD5vQSTBSIFxQaRgjGhitSpX24UnsylZxT8eO57md9OMEEgUlBsECkYEyGRcjzj5C+uFJ7MvQeRgmxBpKDYIFLZsPmjn73x/NmXq7V67mN5qXbthYWbTz875EeeWpF64qlG5uqDSE1Jb802osYKRAqKDSKVDW88f3Z5eXl7e/vo6EjkOHq9XqfTWV1dvfbCwpAfGZEqDNMmUpPSW7MNw1iBSEGxQaSy4eVqbXt7O+uhzzY6nc7yUm3Ij4xIFYZpE6nJ6q3ZhnasQKSg2AwiUpvz73zd7zW37px4ZuDhafPE1cOhK5lQ6vX6BH277fV69Xp9yI880SJ1Yv69HSGE2F+bv2yzPZ8itXDxt3eFEOLDNy+eSlekhhkTLAeBDIeLYG9tV0vV9lD9qdusVJrddEvmJbRjBSIFxSaxSG2eeGn/vhDi8/35QYYzeTTUjoxFsivDZ6nX68bhqF0tpTKAagb9dnWQmtXBMemVmhSR0rqRvDHq9dSK1JBjwnhEapjdg73V61OGTmqWrfGI1DBjSLdZKZXL5XK5XEpeCSIF08YAIpXacFYkZxpg7B5shEsYwQG9XR1sZBRCDD8zTYpIxdoVIqWI1FAdOf8ZqWBvtclI5UGkhol21Wt+ch9Tzx4iBcUmsUgdBrrMrds/fE3aEtCj/fXPnY3KoOnF/t+FEOLW4Y7zz8/35wN2tbl2Sz5WaABV33X3lbc435U19csH3fK/VQc2Ro7pmkNHHcgvlkSkvIG426xUKu63Q3dA878vlstld8SWxm53+G1X3a+V/lAYMzS3Wi35ZzitVsvZHjH/+Z9OvRMSiZSjIzu3+/vfv/nWmvt6p3lZUhm/QGiLazZvrfvt+Gr9vN5vTjT3hRDi9nv98ocfzc9fdo74wT+rnuQf4pUzoS2H9wIt1xwxJFKuzfTji86Li5dmFjY+lLaFRcexn7v3nHc/e//6KVmJvNf/svZqsKT4ovPim+7ruxt+ybvSxsVLMwsXX3z/S+/ogfrf73zmNMkgUmmMCV5/FIdr+v4Y3XMDHe3r9Zf63fP+Ox9IHfPgldeUr3C2LYwQKbmTBvI3un4nh7b/OpvVnh7T/f0WuPW45iMNCO1qqLxbcakUK4XRA4b9WIFIQbEZKiMlp/T7iyTuv/OXwDAaHpJ0GSlxuKbu7g3HkV9AQ+96I6YzEG8FnziozQse9NdqyQ+iv/hGHDq8+xAZqcAY7Y99kl25Y5u3VSNSum/GMSLV6/UajYYzMjYajYcPHzrbNTYZdyeETqCFSImdpu8u0uvgU7bzH92XNnrmtNP0LOqr9fOX+8UOP5rX5Yqkmp0XX62f729xVWn/lTN/kGo2Z6TETjPyiFEZqYXrf/xCCFmAohJFjnjd3TjV3+XLP16UdlFESnamgD8FCvhVORb12fvX1fq9MInUkGOCZX/U9lz5HnPXad263d9dHK65X8Z2rnqNvG2sXNtCs0jpepR9Rsrtv7IK+QW03V9bk6p37ovAjq5laWvThCkfZT9WIFJQbIYUKc1rswAl2v2O/N1/52qoqtC7qrUoOaFw/cpBAyUNTxAiDh3ePSWR8gYy7UZvazoiJYR48ODB6urqysrKwcGBt3GAS3knsUiZHpy5/uRFIP+kzVp5xbRJKSf/tHN7X9x+b+222Ln50X3h5KjCRmVqlcVjvnBGqu9PXnz45sVTXt5ICCHu/VYnUvrkU+xG670CTTK7nVGkEo8Jlv1R23PvnHhGWufeL+kns3euOl31cE3fGMsWmkVKyKlfNT2sCV3/lZJGUupI2/39w8lJr35RfwmkZmAQRvsLR7sam6+yHCsQKSg2o8tIpSBS6i6GCuUvmmqiyNwAdd8hD22ze9wYZilS3ldG6buj/3IQkRJC7O3t7e3tyVviLmUqGalINdE6jbvRf5omZ6Tilz05T/eEuH/zrfmbXzmv5eSTm5H6av18miKldR3zGqaRiJQuI2W5mmrQjFScSOkyUnE9N8Ku5CeDwfSwMSM1oEgp79mLlJQi0vRLXfeX6w7ltirVqlo+KiNlHAYsJKofNmMFIgXFZtjF5obVBlFDkrTAqL9GSjsyhr6Veg/sguNv4N24NVLCduQNFVCcQHdoze7BDxt+WPDtN49045ITsSIVXiThbHW/pFYqklP5X1ulb72JfsH93dFx3KVMZ42USVNc73FDXa6krpEShozUCf+h3mX5cWFsGkyWMG+NVIKMVGA5lFBzQs66pVj3UjNb1iLl7+J4UnCNVLiqpIvNk44JoWdqbiXWPTewYFGoXS84OMSskYoataTeqnm0p+aHAv0uHPr+K6+Rcn8REt/95UME7Sd2jVS0SEktCTcyLrRjBSIFxYY/yGnCGV6/Xn9pFJV3337XdnDSjHNj/S3Pp63N4T/vRP9qbxjy86u9tJi2P8g5XG+drtCOFYgUFBtEyoQjUmoyLBXef3q2+/a7337zqBr88meRUh+fSH13dPxpa/NPP/n58J83K5HSLZwS5j9YgEghUlG9NWEHaifv3WOO1FpoGCsQKSg2iBSMienMSBXPoqZTpGAYECkoNogUjImQSC1emsnccrAoRArGACIFxQaRgjGhitTipZknnmoUmMyNB5GCPIBIQbFBpGBMaEUKJg4sCpKCSEGxQaRgfGQuATAkWBQMACIFxQaRgrHy47nvweSS+f0DEwcWBYUnXqQurJzLvCsCAMDEgUXBNGAlUhdWzl14/MkoknUqAACYErKe4QDGgK1I/e3sT6O4YOdSFx5/0lAJAACAmcynTAAVK5FylklFYS9S5noAAADMZD5rAoRIZ7F5rEtZyhYAAICZzCdOAJnUfrVnflKeeccDAIBiwOoryBWpiZT5wXbmHQ9ywuL1kwAemd+QMIkgUpAr+DtSMD76f9wcQCLz2xImDkQKcgUiBWOiP3EG/1L22d9tgD2Z/2XzEZH5zQmTBSIFuQKRgjGhitSpX25AUjKXnlHA30yHRCBSkCsQKRgTIZFytODkL65AUjL3HkQKsgWRglyBSGXD5o9+9sbzZ1+u1uq5j+Wl2rUXFm4+/eyQHxmRSosnnmpkrj6I1JR0/2wjavBBpCBXIFLZ8MbzZ5eXl7e3t4+OjkSOo9frdTqd1dXVay8sDPmRESlECpGarO6fbRgGH0QKcgUilQ0vV2vb29tZj1S20el0lpdqQ35kRAqRQqQmsftnG9rBB5GCXDGISG3Ov/N1/ya/defEMwOPJpsnrh4OXcmEUq/XJ+jLaK/Xq9frQ37kgonUifn3doQQYn9t/vKY68mPSC1c/O1dIYT48M2Lp9IVqWEGGctRJcPxJ9j929VStT1UB+02K5VmN92SeQnt4INIQa5ILFKbJ17avy+E+Hx/fpDRRx68tANZkezK8Fnq9bpx9GhXS6mMd/IY3W1WSuVyuVwul5JXro5lSa9UKiKVlr6MU6TMJaPeNexVeJEacpAZj0gNs3uw+3ud1NDrzbI1HpEaZlBKefBBpCBXDCBSqY0+RXKmAYbawQakhCGPv+2q9DLpaDb8RDK1IjVYPdMtUkONDPnPSAW7v01GKg8iNUykPPggUpArEovUYeAOv3X7h69JWwJ6tL/+ubNRGeO82P+7EELcOtxx/vn5/nzArjbXbsnHCo136rvuvvIW56utpn75oFv+l+DAxsghWHPoqAP5xZKIlDdudpuVSsX9MueOP/7Xu3K57A6w0lDrjpbtqvstMDRyRQ+nrVZL/tVMq9VytkdMV/6nU++ERCJ1orkv1ba/Nn/5xPxb636NX62fv+y6hV9M1gtHO3Zu99+7f/OtNff1TvOypCZ+AbVC7XHNAuQesV8yutlO5eEjvnJGU4/5k4ZEyrWZfnzReXHx0szCxofStrDoOPZz957z7mfvXz8lK5H3+l/WXg2WFF90XnzTfX13wy95V9q4eGlm4eKL73/pHT1Q//udz5wmGUQqjUHG6+DicE3fwaOHgkDP/Xr9pX5/v//OB1JPP3jlNeU7oW0LI0RK7vWB/E1kR+6HdkBwNqtDR8x44rfArcc1H2mEaVdD5d2KS6VYKUxj8EGkIFcMlZGSM/D9NQ333/lLYNQLjyC6jJQ4XFN390bPyO+LoXe9Ac4ZN7eCDwjU5gUP+mu15AfR31MjDh3efYiMVGBI9Ycqya7cocjbqhGpiC+ypq+EvV6v0Wg4A1mj0Xj48KGzXWOTcXdC6ASaRSqUfXF15Kv185dPnP/ovhDi8KP5+cuGPI0zG+40fQuRXgfK9yt0N3rqs9O8HHXcaJESO02/5Jkzf1B3P+Oq0iv9dwMNc0UqUI/5k0ZlpBau//ELIWQBikoUOeJ1d+NUf5cv/3hR2kURKdmZAv4UKOBX5VjUZ+9fV+v3wiRSQw4ylh1cOxTIN627TuvW7f7u4nDN/Xa3c9Vr5G1j5doWmkVKZxr2GSl3QJBVyC+gHU+0Nal6574I7OgOJtraNJHO4INIQa4YUqQ0r80ClGj3O/K38p2roapC76rWouSEwvUrBw2UNCT8Iw4d3j0lkfLGHe1Gb6udSLWrsV8ZHzx4sLq6urKycnBw4G0c4FLeSSJSXvZICCFuv6ekZEQwoxMlUuEygdd9fwpV6FuUmrXyipkfyalWJO/+ypnQu9pdTC03i5TrT158+ObFU17eSAgh7v1WJ1L65FPsRuu9Ak0yu51RpBIPMpYdXDsU3DnxjLTOvV/Sz47vXHX6/uGavjGWLTSLlJBzyWq+WRO6AUFKGkmpI+144h9OTnr1i7ar7gbNSCOM9heO9AYfRApyxegyUimIlLqLoUL5e6GaKDI3QN13yEPb7B435FiKlPcNT/qq578MjHkW41g/9vb29vb25C1xl3LYjFTITl6RUjuWK4fMOmKUGP8ockbKfm2Tudnad1MUKa3rmNcwjUSkdBkpy9VUg2ak4kRKl5GKGwoi7Ep+MhjMNxszUgOKlPKevUhJKSKN2ejGk9AvUuTcVqVaVctHZaSMIpXu4INIQa4YdrG5YXFA1AgiLTDqr5HSDmShL5HeA7vgcBl4N26NlLAdKEMFFCfQHVqze/DDhnP7337zSDeMOBErUuE1Dc5W9ztlpSI5lfMt8xNpwURox9j47ug47lIOu0YqkONrqouNhP8kzl9NpVkjZcpIBZZhCV0CSV0jJRJlpLS7B1RJyYpFiZThk4YzUoHlUELNCTnrlmLdS81sWYuUv4vjScE1UuGqki42TzrIhJ6puZVYDwWBFZBC7cvB0SZmjVTUMCh1f82jPTU/5HXkrlBDPyDIa6Tc38rFjyfyIYL2E7tGKlqk0h58ECnIFfxBThPOaPj1+kujqLz79ru2Y4lmWBrrT28+bW0O/3kL9nekhsS8AMtMfn61lxbT9gc5h+v+0xXawQeRglyBSJlwREpNhqXC+0/Pdt9+99tvHlWD39UsMuDjE6nvjo4/bW3+6Sc/H/7zTq5I6RZOicH+8EGwqvgHiIhUUfG6f8Ie2U4+XIw5UmuhYfBBpCBXIFIwJiZXpHJF8SxqOkUKhgGRglyBSMGYCInU4qWZzKVk4iikRSFSkBRECnIFIgVjQhWpxUszTzzVAHsyNx5ECvIAIgW5ApGCMaEVKQAsCpKCSEGuQKRgfGQ+Z0PewKJgABApyBWIFIyVH899D8Aj8xsSJg4sCvJGvEhdWDmXec8BAADAoiCHWInUhZVzFx5/MopkfQAAAGAwsp4yAVRsRepvZ38axQU7l7rw+JOGSgAAYKLJfD4DyAQrkXKWSUVhL1LmegAAYKLJfEoDGD/pLDaPdSlL2QIAgIkm81kNYMyk9qs984PtzPs2AACMAVYywbSRmkiZn51n3rdh4jj7uw3IlszvAZhEECmYNvg7UpBHnP/SGDIn8zsBJg5ECqYNRCobNn/0szeeP/tytVYvUCwv1a69sHDz6WeHPDnOFJ75/xAMDpl3FvpmPiOqvyNSMG0gUtnwxvNnl5eXt7e3j46ORCGi1+t1Op3p141+AAAgAElEQVTV1dVrLywMeXIQqVzxxFONzPsLfTNvYejviBRMG4hUNrxcrW1vb2c9GKYfnU5neak25MlBpHLFtIlUUfvmKELb3xEpmDYGEanN+Xe+7vejW3dOPDPwgLV54urh0JVMKPV6vZDfd3u9Xr1eH/LkIFIpcmL+vR0hhNhfm7+clkgNMwJYdvkMB4dg32xXS9X2UH2i26xUmt10S+YltP0dkYJpI7FIbZ54af++EOLz/flBBjh5fNSOlUWyK8NnqdfrxgGq26yUyuVyadhB3Al5MlAH63a1FDV8DzKLqANr0ms6tSIlS8/wAhSq85UzpgoNhwuJ1JAjwHhEapjdg33T6wIDd5PxiJSheTbHLZXL5XK5XEpeCSIFMIBIpTbAFcmZko7mcSIl0vgqrK0q0WCNSGUmUmOuM4lIDdVtJyIjlbAL5EGkhol21Wt+ch9DpAASi9RhoBPduv3D16QtAT3aX//c2agMo17s/10IIW4d7jj//Hx/PmBXm2u35GOFhlT1XXdfeYvz7VlTv3zQLf97dmBj5CivOXTUgfxiQ4hUt1mpVNxvje5A53+PLJfLbllpL3dYblfdr5uV5if6jJSzS/iLqbxjYA8hhBCtVkv+CU+r1XK2qwNr7D1jFilngt+53d/h/s231tzXO83LkgT4BUJb3BzPW+v+gb9aPx8pFpa7e/Lhtq1fp6Hk+s2vnArd/JChzYf3/EPLbwXyVaFDGwxJzkidaO7Lny7UGCH2DSKVxgjg9T5xuKbvfdH9NNCtvl5/qd8Z77/zgdQND155TfnCZtvC6IzUIN0kop86m9UeHdPN/Ra49bjmI3X8djVU3q24FJ/hjnY5+/6OSMG0MVRGSk7y95dN3H/nL4GBNTxI6TJS4nBN3d0boCO/kobe9cZQZ2jeCj6DUJsXPOiv1ZIfRH8Vjjh0ePf0MlLSyOm/lMc8b6tGpCwe7VXb+iHU9FW71+s1Gg1nVG00Gg8fPnS2mzNSUecqTqTETtP3Cel1IINy4vxH96WNntDsND0N+mr9/OV+scOP5vUPueS9PAv5g7r7mTNSe/yNppJu+M2W26x9tGd/6IiPExYp7TO+wTJSA4wAlr1P20/l+8Rdp3Xrdn93cbjmfvXaueo18raxcm0LzSKVtJvo+6msQn4BbTfX1qTqnfsisKNrWdraNGHKR9n3d0QKpo0hRUrz2ixAiXa/I08+O1dDVYXeVa1FyQmF61cOGihpeKYQcejw7ubHE/rhyo8o+5G/Gfujnrt1cJEScu5KzW/p4sGDB6urqysrKwcHB97GAS76nXiRivSMtXnXJPwIJJC0WSuvmPkhl2Ihgd0DOR7rkkF/CrXZUGH8RvPHkXfxUnpCCHH7vSFEKvEIYNn7tP30zolnpHXu/ZJ+6nrnqtMxD9f0jbFsYbBvqsqStJvo+qmUNJJSR9pu7h9OTnr1i7ar7gbNACCM9heOdjU2X2XZ3xEpmDZGl5FKQaTUXQwVyl891USRuQHqvkMe2mZ387CWUKS8r5LSd0r/pa1IKZviF4js7e3t7e3JW+Iu+mAZqcE8w3/gJWek4hYVSbkrXVooTrliSkbtOFBGakCRMrQ/vYxUnEjpMlJx/TTCruQng8FksDEjNaBIKe/Zi5SUItKYja6bR/XdbrNSqVbV8lEZKaNIWUhUP2z6OyIF08awi80N6w+iBilpgVF/jZR2rAx9T/Ue2AVH5MC7cWukhO1YHCqgzPS6Q2t2D37YW6H2f/vNI91I5UToV3tRIhVePOFsdb+8ViqSU0lrpKQvuKXqn6VvreoXX2/HbnRb5fju6Djuog+4RsrkHIEVP0K76EdZ5CQM66/NKS7lKGrbTCX7h1Da3Hcsf7vVGqkBRCp0cpyMXfDQpjVSQ44AoWdqbiXW/TSwPFGoHS04FMSskYoao6S+qXm0l7Cb6PupvEbK/a1cfDeXDxG0n9g1UtFdWGpJuJFxoe3viBRMG/xBThPOgPv1+kujqLz79ru2w1Xk+Je7vzrzaWtz+DOTn1/tmZcfTQnT9gc50+ib0xLa/o5IwbSBSJlwREpNhqXC+0/Pdt9+99tvHlWDXwet/3ZUvkTqu6PjT1ubf/rJz4c/M2MTKd3CKaHkbOKfBuaEqI8z5B9T+P/bO7/ftoq0j/c/4G+xg7Q3vXnvmi6gZNkbc1PYZstSI1VqsuhVixsTUqdJKiokB0qJXleiWhRUJFcNqLQVWmNiFxHkNher5CJYKFWTKlH3BpEmBs17cX7NnPlx5hyf43N8/B19JNzxeM7Y82Tm4+dMwgCKlP2z6fOHoBb0Z7lnJbQRKn7eIVJg0IBIgcSRnIwUOD6QIgW6ASIFBg2IFEgcEKnkAIsCfoFIgUEDIgWSSOwCAY7DokAgIFJg0IBIgYTy4ktlEC+xxwDoO2BRYADxFqmZ6XOx/3ACAABIOLAoMJhoidTM9LmZoaMy/P2YAQAASCVx72cAxIKuSP3n7GsyZvRcamboqKITAAAACmLfLQAAQrREyjgmJUNfpNT9AAAAUBD7hgEA4AnnsLmnS2nKFgAAAAWx7xkAABeh/dae+t557KsPAACkABxFAiBphCZS6rv7sa8+gbn75zcW3zz7fmGyiNKrMnVh8tpb43de/lvss4+4ir0MQjD4AiIFQNLA35HyYPHNs1NTU/V6/eDgIOT/7RWKqHQ6nWazWSqVrr01HvvsI67iLQMSDL6ASAGQNCBSHrxfmKzX63FvKANXms3m1IXJ2GcfcZWEkvpg8AVECoCkAZHyoFgs9ipnUCsk7v8VH1vpdDrFYjHwrO0QQsjqo+HX1c3uDl/VbBlxXHU/9e1KLldph9syKUUWDHfzt381m3Q1gzGGQQAgUgAkDd8ipVh0+ms90hx5sVj0s+bXChnFLqXeL+1nFZ0kSrZkg1F/CLqF3zv1o6s3ItXNy9m46n7qeyNS3cxsu5LLZLPZbDab8d8JHwx3h9/d3CKEPNnMdzt3wnlM7GoGkQIgaYQpUv1LeCKlLpoiFbiHHpdoB5P6jJTPTzIJItVNqRXs4fv3MZFIhSbB/bWmQaQASBq+RWqHWd82/0sIIaubS0/of1Jrk10UlcY3S6M82cw765rV7Sq7AnLt51YJIWTr9grV286cquedBl/pjEq+4TnfqrPZrLmvtSu5XC6XyWQyhX87u51Za7Q0do1awfpGLt5F6LSE3QnzJd6rB2Z41ralkwlwva9KhR25sGd6MD+LPoR2JUddsVaQXL5ardK/pVWtVo16WUbq4bGP+UkUtrQakJ2518WRI4oHapc1y69L7wpjbHv2Y24zNgqzPQvDWJ6RCmHqHeNqV3IZfirdkSmc33YlZ/djmQ8lc7WCO9KoGPCQQrnL+QwG5wO3osL8p+fnL1zHRMvC6qNha4WhOmdWJO5ZUTDox567JUQKgITTVUaKUxBzPXp47DxlM1d3vCufbOZfN088bN3+nlkT3SugqD3Vs7GoNa7SmX++5505p3JF+ZWUEyl7B7A2GnrDYTdCZ4Nxb5PC4t5NRduNdhLIerFe/oFuRaULmLfGt6UGI/4QjPpcpa1KQXQ6nXK5bGyc5XJ5f3/fqPcSKfck8tsk3eB7ZaTJurJO4bDR68RY8DBWi5T/qfeMTLuBMDKFPfF6Zz1wT7cValrBGU4wsAuR6ofdKqvyl18VBczHLnGX5atcz9Lf5dga79gTRqkrtiFSACSNUETKXESofYX/pq6uZNY79crFt3e+MjauPmpYa5Nb8qRjUOf25SIl3PSYjBSlJkFEitBZH6dCtVfZ7enUBdcJX4SjFY+E6pkVJsGHYD3ldSNnd3e3VCpNT09vb2/blZ4ZKcXEBYg0Jh6cU8xmS2WMeQc8H8ZeGSm/Uy+aACppRKWOxHMtjByzaa1AhVKhxo1FYX/uUit45qs0g0H286v5+ft6+aMGNb7GVVdXrmf5mNRfi4RR+ggiBUCyiUikqO9V2pXCS/AroPCEKZMPZ+6/SHvuWqSoL+KRiRT3nLIH+kl/OQ0vkRL3rCFSRpZCw6VarVar1aJrwhEp0Xd9dTzIbZuPMZ2MVECR4p7TFylhZMpaKubXeFwo8O1lGSnlJGtIlFl0gkE7IxWCSOmsS4o1TX8tEq6HLiBSACSNIH/+gDoT4ByKci8Nwu/0wkrmTIB4CZM6E311a1RcRl3cs9sCnTe16rri7789t54SHULyIVLm937NM1LtSk6WXtI6KGPtbnwnoheqM1KCnunB/CxJ1WUYo/JxwviPg0N+6n2KlF3s+NSNB/bUC5HFmPw2t9YRZiquQp56R1eoM1LWxy+ca/H8Erf9eJ6Rkk8wNRL3IL2KMBgk3+KMovX5C9cxXqRcWSJ7eREGGxsY9GC0Y0+yvkGkAEgskf8dKdXRE+72fzJpf/EVtRv02d/g6dPyS/Vu7PPew7hCUZVBCAZ9IFIAJI2oRIr9Tib8ZaiAfwCm99x/+WT7i69+/+15eCJVK7DfznXveYTQQ/eXjrb8cXD4S/Xut6/+I/Z572Fc+SpJn8EQRzg4waAPRAqApIG/bA4AAP0BLAqABOItUjPT52JfPgAAYMCBRQGQTLREamb63MzQURn+FgIAAAABiHu3AAAI0RWp/5WXGT2Xmhk6qugEJfQSe2wBAAAAqUdLpKaURV+k1P2ghF5iDy8AAAAg3XiLlLEljymLp0vNDB1V94ASUYk9wgAAAIAUE45IjY2Nqe/u98AYUIRldHQ09iADAAAA0kpoIqU+r9MDY9Ap4+Pjk5OTxTSWycnJiYmJv//97663DJECAAAAoiM0kUp+GR8fn5qaqtfrBwcHIf8BwrhLp9NpNpulUmliYsL1riFSAAAAQHQMkEhNTk7W6/W4nSfC0mw2JycnXe8aIgUAAABExwCJVLFYTF8uii6dTqdYLLreNUQKAAAAiI40iNTJk9d+IoSQn66dPKloViwWlR5C/Z/tvYuvxr0rECkAAACgl0Ck7AKRAgAAAIA/fIuUZS1G+enayZPymp9+sp7YXr5gN/rpmneDsbGxkycvLG/b3W4vX+BfRVc6A/jkb58IvYoVqXYll7H+1/S5SpvUCtY/c5WfqWez2axpTO1KLpfLZTKZTGGBatwmbK9WmxohpFZwdyKuZC6XKVTsf7q6t0u1WqV/Za9arUKkAAAAgN7jW6QMuTFch9Kd7eULzsOCqTK0MzH+9Il3A69uqeddGSlZgooWqXYlxzmKJMlkN21Xck4DeeMMbUd0+1ylLalkhmNXuhozpdPplMtlw6LK5fL+/r5RD5ECAAAAeolvkXI5Cm0tnCcxlYEa0MX7Vb5u7TkpKNNVGDeyn3XSTox8eVkX18T8l7BS+jLVDcTd3d1SqTQ9Pb297STuIFIAAABALwmWkdpevqCTkepGpC64LiSTNl6kdDJSdLFshbIWWmDojJQvkQqekdISKUJIq9VqtVp0DUQKAAAA6CXRnpEKLFLXTp5kz0ipXjU2NkYNQXpGamxs7Pnz57bkuBNOVhaKPyMlykg5je0awrXxc0YqiEi5yuHhIZ+Hg0gBAAAA0ZGG39rTL19//bW2lvRfuXfvHv+WIVIAAABAdAyWSJ06derrr7+281KpKYeHh/fu3cvn8/xbhkgBAAAA0TFYIjVoBRYFAAAARIq3SM1Mn4vbB1CCFFgUAAAAEDVaIjUzfW5UXnxt7Sg9K7HHFgAAAJB6dEXq2tlPZIzqudTo6KiiEwAA6CNiX7sBAAlBS6RKIx8q0BcpdT8AANBHxL58AwCSgLdIGUvG7PFZBZ4uNTo6qu4BAAD6jthXcABA7IQjUrPHZ9XndWJf7wAAIHRODJ2KfREHAMRLaCKlPk8Q+3oXIhPXjwMABg2IFABASGgiNSBMXB8CAAwmECkAAA9Eyr9FXR4FoNfEnY8ZREQTAZECALiASEGkQOKJOxMzuHBz8crYCxApAAANRAoiBZINoi5JQKQAAC4gUhApkGxEUXf2w+UUE/9nTvHK2Auuf0KkAAA0ECmIFEg2XNSNvLOceuL/2C0gUgAANRApiNTA8pfzpdOT710odlUmz198+5/zr0Y4TjbqDM84/vZHqSchUwmRAgCogUhBpAaU86XTU1NT9Xr94OCABCqdTqfZbJZKpfMX345wqIMqUi++VE7CVEKkAABqIFIQqQFl8r0L9Xo92L5Ll2azWSxORjhUiFSsUwmRAgCogUjFKVLj81fWCCHkwY35kdjFIvRRJfCt0RSLxcAJDLp0Op1isRjhx97PIjWc/6ZBCCGbc/kFnfpgIhXpVEKkAABqohKpS8O31gkhZP3W8CX3U3PrhBBC9lbyly7lV/YIIYSsz7mb9QDFICFSvRSpWD6HYrHI7KLtSi6TyWazmUyu0va3AUOkZG5EV8oehyJS/KTUCr7nUTiVECkAgJoYRGr2+Ozi0h4hZG9p0X7Qe4uCSEU9qoSL1MTlUWoDbVdy1r5LPdQs0X7sfSJSnnbVO5GqFYIJMYFIAQD841ukrHySUdZvDV+6NLy4smXX7K3kL1mC4jTjDGZxZYuQrY2NLUK2VhY5jzH8ZmXJTFdVj1XX2YtSGkSPxBSj9YY1mqXFW9ZjPunlGqTwKgqRMra9+83HhBBCHnw298Ea1d3T5hl7a1zbMOoe378+Qm2ZdnlwY36EraRr7JeTp80zN6zHa8tu5+CvRe/N9mNrnNJu+esa1xqfP3N/zx4h07/9IcjH49mJXfYIIWTjitly7+bl+RFjeGvLI/zL1QNzffJSkWLkSWpS1WqV/i2varVq1MutyPmEfQWDvkgZOtJ4aL54687nc9bjRmWBUhmngavGMpvPl3bsmmdLF8V+M1zZJISQh9+Y7Xd+zOcXjCuu/B/vSc4lZk+7anY2mJELrthdRspDh2VTCZECAPjFt0i5UjiWRVH36bZWFimnkSV7bCET3tRjFefnde4Snx77lL/up5YJrc85Mkc9dg+Grpe9ES+Rsouz/41fv/mUEFqt1pZHzMq9m/Nz5q5PK8tnZuXj+9fpltTLre2WfpVrxxVd6wO5SEm7VQ5bPEL7Q/Aaj6CTy/Ni4bthPnh8/7r6U/L66KgLdSlSnU6nXC4bW2+5XN7f3zfqVXkm/8HgX6RIo+K4C/WYvct28cctqtI2p0bFtqhnSxcXzGY7P+ZFuSKqZ+PBs6WLZo2lSpuzp/9F9azOSJFGRXpFl0hRxinIXHJz5SFS+lMJkQIAqPEtUrfo75WNW1zyibiSQ0KRMp9trKwoM1Js5onp1soeeVcqBiNrI2svzEhx/mQXJ/cjTAgFq3Q95jNA3XerfJX0DfI7kGYn/Dsy808bD8jGlRsbZK158ykxclRX5GPw/uRVu6+eSBFCdnd3S6XS9PT09va2XSn3J48haY1TIyOluHFm+ZNdmPyTMGtlNxMmpYz8U+PhJnn4zdxD0rjz4xYxclRuo1KNSuM2n35GKoBI6U8lRAoAoCbgGSnKXZzMkP7xI88zUqxICXJFyoxUMJEKlpEytz0/RkJlULQyUrGKlCjxwyUJvERK2Qnfz/jyA2NXe9o8c9m8aUjf13ONwWNgWiLl54xUq9VqtVp0jR+J9A6GEEVK6DRWpXM3jc5IeR97Mu7uEbJ15/P8nWfGYzr5ZGWkni1dTLRIaU4lRAoAoCbYrT2zGHfl2DNSxBEg5zQVc0ZK57f2uBuI7uNQ6jNSmiLlGmSwM1JORsra/q0iVxYuXaE+IxVYpITX0hYpZjAT7qNI7q4kMuHdiUueqG4prVS+XD0whUg9P9x3XhT0t/Y6nUP+vXcZDGGJ1Fx+wfYeq/DHlfgzUkSRkRp2buot0LcLPdNgtITZZ6TCEilmKmuFrFUyhZpy9pginEqIFABADf6OlA/wBzlTxrc/fKm/y8rKd6u3ox1nP//WXjf4EqnophIiBQBQA5GCSA0u73zw129/+JJJZvgpnc7hd6u3z3+Yi3acMYmU6OAUUf/BghhFKrqphEgBANRApCBSINkgIxUrECkAgBqIFEQKJJuBFKmEWNQERAoA4AVECiIFkg0XdbFbzuBY1ARECgDgBUQKIgWSjSjqXnypnGLi/8wtXBY1AZECAHBApCBSAAABvEVNQKQAABwQKYgU6ANeGXsB9BjZRECkAAA0ECmIFABAC5dFQaQAADMQKd8uFfdSDgCIBd6iIFIAgBmIVABiv+MAAOg9sCgAgBBvkZqZPhe7uwAAQKKARQEADLREamb63ImhUzJ8LT0AAJACYl+7AQAJQVekrp39RMYJPZc6MXRK0QkAAAwysW8GAIBgaImUcUxKhr5IqfsBAIBBJvb9AAAQgHAOm3u6lKZsAQDAIBP7lgAA8Etov7WnPk8Q+/IEAADJB6evAOg7QhMp9e3/2JenEJm4fhwAALoEIgVAOsDfkfJrUUMAABAKECkAUgBEyr9Fxf0XlsEgEnf6BISAaGYhUgD0OxApiBRIPHEnTkBocJP7Cv4vyAD0ORApiBRINoi6VAORAqDfgUhBpECyEUXd2Q+XgT7xTyLFK2MvuP4JkQKgr4FIQaRAsuGibuSdZeCX+OfRAiIFQMqASEGkBpa/nC+dnnzvQrGrMnn+4tv/nH81wnGyUWdowfG3PwJ+SUhsQKQASBkQKYjUgHK+dHpqaqperx8cHJBApdPpNJvNUql0/uLbEQ4VIhUSL75UTkJsQKQASBkQKYjUgDL53oV6vR5sm6RLs9ksFicjHCpEquciFWlsQKQASBkQqThFanz+yhohhDy4MT8Su1iEPqoEvjWaYrEYON9Al06nUywWI/zY0yVSw/lvGoQQsjmXX+hxP/oiFWlsQKQASBlRidSl4VvrhBCyfmv4kvupuXViPWU1I+tz7mY9QDFIiFQvRSqWz6FYLDKbXruSy2Sy2Wwmk6u0/e2XyRepsPSllyKlbil7VvEqXyLFz3Kt4DswhLEBkQIgZcQgUrPHZ281CCFkfe6SKVWNW723KIhU1KNKuEhNXB6l9rt2JWdtk9RDzRLtxz6oIhWsn0hEqlYIZtgEIgXAAOBbpKx8klGMrNLiypZds7eSd/JMdjOxwWxtbGwRoccYfrOytGe8vHqsSnVotmevQue31tcb1miWFm9Zj/mkl2uQwqsoRMrY9u43HxNCCHnw2dwHa1R3T5tn7K1xbcOoe3z/+gi1ZdrlwY35EbaSrrFfTp42z9ywHq8tu52Dvxa9N9uPrXFKu+Wva1xrfP7M/T17hEz/9ocgH49nJ3bZI4SQjStmy72bl+dHjOGtLY/wL1cPzPXJS0WKkSepSVWrVfqXsqrVqlEvtyLnE/YVDPoiNVzZpF67OZdfGM5/vrRj1zxburhguYXTjNYLQzsaD83ntu58Pmc9blQWKDVxGvAdCq+rFiDrimZL+bCNzt1XnD0t6Ef9TrvLSHn4tSw2IFIApB7fIuVK4VgWtbeSv3Qpv7JHCNlaWaScRpbsWTQliewtLfLPsorz8zp3iU+Pfcpf91PLhNbnmJuGssHQ9bI34iVSdnH2v/HrN58SQqvV2vKIWbl3c37O3PVpZfnMrHx8/zrdknq5td3Sr3LtuKJrfSAXKWm3ymGLR2h/CF7jEXRyeV4sfDfMB4/vX1d/Sl4fHXWhLkWq0+mUy2VjpyyXy/v7+0a9Ks/kPxh8iZQr+2LpyLOliwvDF3/cIoTs/JjPLyjyNIZ5NCqOhVCPmfZmh1alrT6NyoLsunKRIo2K0/L06X/xLz9tqdKs+SwzMEukmH7U79QlUpTCClKh3OR7iJR+bECkAEgZvkXqFv2Nr3GLSz4RV3JIJlLqBvRTrO6Yj63skXelYjCyNrL2wowU5092cXI/woRQsErXYz4D1H23yldJ3yC/YWh2wr8jM/+08YBsXLmxQdaaN58SI0d1RT4G709etVnqiRQhZHd3t1QqTU9Pb29v25Vyf/IYktY4lSJlZ48IIeThN1xKhrAZHZlIudswj01/cnXoWBSftbKbqW/J8VZEv3z2tOtZ4UtUIw98ay+ASBHt2IBIAZAyAp6RotzFyQz5On7kR6QEuSJlRiqYSAXLSJnbnh8joTIoWhmpWEVKlPjhvtN7iZSyE76f8eUHxib0tHnmsnnTkL6v5xqDx8C0RMrPGalWq9VqtegaPxLpHQwBzkhReuGkdjRPDql1RCkxzlXojJT+2Sb1sIXPJlmkNGMDIgVAygh2a88sxqkj9owUcQTIOU3lPiPlS6SEx6HUZ6Q0Rco1yGBnpJyMlLX9W0WuLFy6Qn1GKrBICa+lLVLMYCbcR5HcXUlkwrsTlzxR3VJaqXy5emAKkXp+uO+8KOhv7XU6h/x77zIY9EWKSRBX+MNGxLkT55ymEpyRUmWkmGNYRJRA4s9IEV8ZKeHLGVXismIykVK8U18ixcRGrZC1SqZQI9pFGBsQKQBSBv6OlA/wBzlTxrc/fKm/KcrKd6u3ox1nuv6OVJeoD2Cp8SVS0cUGRAqAlAGRgkgNLu988Ndvf/iSyT34KZ3O4Xert89/mIt2nH0rUqKDUyTYHz5gu/K+gdi9SEUXGxApAFIGRAoiBZJN34pU0vAlUtEBkQIgZUCkIFIg2UCkUmRRExApAFIHRAoiBZINF3WxS0nfkRyLmoBIAZA6IFIQKZBsRFH34ktloE/8k2jhsqgJiBQA/Q9ECiIFAOgFvEVNQKQA6H8gUhAp0Ae8MvYC6HdkMwuRAqCvgUhBpAAA8eCyKIgUAP0IRMqnS8W98gIA0gFvURApAPoRiJRvYr9BAABIAbAoANKBt0jNTJ+L3V0AACDdwKIA6FO0RGpm+tyJoVMyfK0UAAAAeGLfDAAAwdAVqf+cfU3GCT2XOjF0StEJAAAMLLHvBACAwGiJ1HcjrynQFyl1PwAAMLDEvhkAAILhLVLGD/m9428o8HSpE0On1D0AAMCAE/t+AAAIQDgide/4G+rb/7GvUAAAkHBmho7GviUAAPwSmkipTwDEvkIF5u6f31h88/mSz9cAAAYkSURBVOz7hckiSndl6sLktbfG77z8t9jnFNGSkDIIIeELiBQA/UhoIpVWFt88OzU1Va/XDw4OCErQ0ul0ms1mqVS69tZ47HOKaElCGZCQ8AVECoB+BCLlwfuFyXq9Hvemk5LSbDanLkzGPqeIluSU1IeELyBSAPQjECkPisUisgthlU6nUywWA8/FDiGErD4afl3d7O7wVc2WiJbYiywk7uZv/2o26WoeYwyGAECkAOhHfIuUYmHqrzVLc+TFYjGWDYYqtUKmUIt7EFRpV3KZbDabzWYzmVyl7e/F/K6pHzO9EaluXo5oCVD4kLg7/O7mFiHkyWa+2xkUzmZiVyqIFAD9SJgi1b9ApPyUWsEeTq3gV6VSn5EK97P2X5IWLd5FJFKhqXB/rVcQKQD6Ed8itcOsgZv/JYSQ1c2lJ/Q/qfXLLopK49unUZ5s5p21z+p2lV0lufZzq4QQsnV7heptZ07V806Dr3RGpdoaa4WsVRyHaFdyGTNJY9W1K7lcLueqFLU0G2YymcK/qWRPNps19sNaIcNcTnAtvjD9ZAqVinskggu1K7ksVZzhKS7XruQkg6hWq/TvZ1WrVaNelpF6eOxjfmqELa0GZGfudXE8iGaZ2l/N8uvSu8LI2Z79mNuGjcJszMLg7Ldo6VWcEEJ8h4TzsVuxoTsLwjVK9CO/+mjYWj2ozpnVhntWFBL6EehuCZECIAV0lZHiFMRcsx4eO0/ZzNUd78onm/nXzVMRW7e/Z9ZN9yopak/1bCx8jav03QG+5505p3JF+bWV2RrblZz9dd92CLpSWGs/FLZkKqniOAqVYxBfS/ViJmskvBbXTbuSyygG7BRVPqrT6ZTLZWPLLJfL+/v7Rr2XSLmnht8g6QbfK+NH1pV1/oaNSSdyggdnv0VLb+LELPohwS4yqh9kq6zKX35VFDYfu/Rdlq9yPUt/T2NrvCNQGKuuCIdIAdCPhCJS5kJD7UD8d3p1JbMmqlc3vr3ztbJx9VHDWr/ckicdgzr/z2yN9G0Te7+gsg7UF3fXFlWoyVqy+46dUaByGNRVxdfii+jq7GPRhcx6urn0ckw7cdnd3S2VStPT09vb23alZ0ZKMR0B4oeZZef8stlSGTneYcwHZ79FS/RxwhbNkJD9bGrOgq+XP2pQ42tcdXXlepaPTP11RhirjyBSAPQ/EYkU9d1Lu1J4CX6VFJ5CZXLmzJ0aac9BRIred+hsgsdNL2tb0kkKCL7YszkGrTNJXhuk9EKsHEkupyFRZmm1Wq1Wi64JR6RE3/LVsyx3aD5ydDJSGiLVB9ESbZwIi05IaGekQhApnTVHsV7przPCtc4FRAqAfiTInz+gzg04h6Lcy4fw27+wkjk3IF7mpM5EX90aFZd1F/fstkDnTa26rvj7b8/tLsRf0KkDIpkMv2G67rawLZlNiD2zYtUbF+VPvch/ac4z0yC4kOvsC9WQG3AmQ7fUP9v8x8EhP6E+RcoudtTpzjJ73oXIIkd+81rr8HJfRUuUcaJXhCEh+YbmYxaEaxQvUq4skb10CEOODQ96MNoRKFm7IFIA9DWR/x0p1SEV7ohAMml/8ZVgB/D/C2sov1Tvxj6biJZElUEICX0gUgD0I1GJFPu9TfhrUwH/SEzvuf/yyfYXX/3+23P2Tygl5JfMawU2P5SYgTHlj4PDX6p3v331H7HP5mBHS4LK4ISEPhApAPoR/GVzAACIH1gUAH2Kh0g9uPynmelzsS8xAACQYmBRAPQv3iJluNTM0FEZ/hYLAAAALuLeCQAAgdESqbWP/kfBjJ5LzQwdVfcD0kTskQ0AAAD0AC2RMtrI0BcpdT8gZcQe3AAAAEDUaImUJ54uNTN0tMtLgH4k9vgGAAAAIiUckXpw+U/qEwCx7+ggFj4aw+EPAAAAaSY0kQKAByIFAAAg3UCkQIRApAAAAKQbiBSIEIgUAACAdAORAhECkQIAAJBuIFIgQiBSAAAA0g1ECkQFLAoAAEDqOTIzfS72HRekD1gUAACAQeCI8Z+Pxo4CECKxRzYAAADQA47EPgIAAAAAgD4FIgUAAAAAEBCIFAAAAABAEI4cOQKRAgAAAADwzZEjR44cOfL/1kf+aJfBqyMAAAAASUVORK5CYII=" />
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<span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part I</span></span></span></span></div>
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<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">We
set numbers of rooms we want to create. Then we check if there is
enough place in the matrix for the rooms. We create empty list filled
with 0s; 0 marks place in matrix where is no room. (As check) we
print empty list to console. We pick our starting cell for building
maze. We move to actual map generation: <generate_maze2>. </span></span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;"><img alt="" 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" /> </span></span></span></span></span>
</div>
<div align="CENTER" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part II</span></span></span></span></div>
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<br /></div>
<div align="LEFT" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">We
mark with 1 our starting cell. (As check) we print matrix to console
with 1 in place cell where we start. </span></span></span></span></span>
</div>
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<br /></div>
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<img alt="" 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" />
</div>
<div align="CENTER" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part III</span></span></span></span></div>
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<br /></div>
<div align="LEFT" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">We
add x and y to the list of rooms. In while loop(</span></span></span></span><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part IV</span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">)
we generate rooms until numbers of generated room will be equal to
number of rooms that we wanted to create. <helper_2> is used to
move through the list of already created rooms.</span></span></span></span></span></div>
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<br /></div>
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<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">Once
we are out of loop we print generated map to console. We set it as
game attribute <map matrix> so that we won't lose it while
switching between rooms. We set <2> in matrix in order to mark
our starting position.</span></span></span></span></span></div>
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<img alt="" 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" />
</div>
<div align="CENTER" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part IV; pick the already created room and check neighbours
around the picked room, if any of them is empty try to create
room(using </span></span></span><span style="font-size: x-small;"><span lang="en-GB"><i><span style="font-weight: normal;">room_check</span></i></span></span><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">)</span></span></span></span></div>
<div align="CENTER" style="margin-bottom: 0cm;">
<br /></div>
<div align="LEFT" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;"><</span></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i><span style="font-weight: normal;">helper_3</span></i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">>
stores the index under which there is x coordinate of already created
room. List is created in such way that under index <</span></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i><span style="font-weight: normal;">helper_3</span></i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">>+1
there is y coordinate of already created room. <Remainder+length
of list> construction makes sure we won't ask indexes out of list.
</span></span></span></span></span>
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<div align="LEFT" style="margin-bottom: 0cm;">
<br /></div>
<div align="LEFT" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">The
rest of the code says for each of the neighbouring cells(top,down,
left, right) try creating the room(</span></span></span></span><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part V</span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">).
</span></span></span></span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhzmwEmbQQGTC5hogMXIuTLT2lt8NGs0r9C1ABBWwKt1mLuxP4tG5MjszAjoqMJt9t8r92tfyiNgfvfE-wKVRTfaMrzJ90ZOvIFJEOMAvTGIICxAcv0Yh67RXeNCAinEZ3E2IvGQUILpQg/s1600/V.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhzmwEmbQQGTC5hogMXIuTLT2lt8NGs0r9C1ABBWwKt1mLuxP4tG5MjszAjoqMJt9t8r92tfyiNgfvfE-wKVRTfaMrzJ90ZOvIFJEOMAvTGIICxAcv0Yh67RXeNCAinEZ3E2IvGQUILpQg/s1600/V.png" /></a></div>
</div>
<div align="CENTER" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part V; For current neighbour if its empty space (0 in matrix)
try to create room from it</span></span></span></span></div>
<div align="CENTER" style="margin-bottom: 0cm;">
<br /></div>
<div align="LEFT" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">Two
ifs at the beginning check if input values(coordinates of matrix
cell) are ok = are they corresponding to cell inside the matrix. Code
then asks about value inside the cell. If it's zero(= there is no
room there) and there was no error while asking about the value we
try to make it from free space into room.</span></span></span></span></span></div>
<div align="LEFT" style="margin-bottom: 0cm;">
<br /></div>
<div align="LEFT" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">There
is a random chance that current free space will become a room. If the
probability test is passed empty space is changed into room(</span></span></span></span><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part VI</span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">).
</span></span></span></span></span>
</div>
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<span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
map - part VI; change empty space into room</span></span></span></span></div>
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<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><span style="font-weight: normal;">Increase
number of already created room by one. Add coordinates of newly
created room to the list of rooms. Change value inside matrix from 0
to 1(in the coordinates of newly created room).</span></span></span></span></span></div>
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<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span lang="en-GB">Generate
exits upon entering the room</span></b></span></span></span></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhsifR0JX263YYIbN0_NtJsNkQXfQuJQA4LuXT_9ivJLgi1qFII9hV1m2Su-B3kPoc7KXGo56W4pPQZgUYw4_xY1n03efOC05MuZujLcSSfpoLgHAo_1X3qEVEhMOlV3k0-cStNRtZiYxw/s1600/generate_exits.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhsifR0JX263YYIbN0_NtJsNkQXfQuJQA4LuXT_9ivJLgi1qFII9hV1m2Su-B3kPoc7KXGo56W4pPQZgUYw4_xY1n03efOC05MuZujLcSSfpoLgHAo_1X3qEVEhMOlV3k0-cStNRtZiYxw/s1600/generate_exits.png" /></a></div>
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<span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB"><span style="font-weight: normal;">Generate
exits based on your coordinates of the current room</span></span></span></span></div>
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<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">This
code triggers upon entering the room. Once we have our map generated
we ask cells in map that are neighbours of the current one if they
are rooms(=1) or empty spaces(=0). If they are rooms we create exits
actors that lead to them. We set attributes of the exits so that each
exit knows where it leads. We will need that in formation to move to
another room when we click on exit. </span></span></span></span>
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<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span lang="en-GB">Change
of room upon clicking exit</span></b></span></span></span></div>
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<span style="font-size: x-small;">Change
rooms when you click on exit</span></div>
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<div align="LEFT" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Firstly
we check if we clicked on </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>exit
actor</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">(using
2 ifs). If we clicked on </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>exit
actor</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
we change to 1 value in map as we are living the current room. </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>Exit
actor</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
knows to which room it leads using </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>X</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
and </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>Y</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
attributes. We update the current room based on information from </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>exit</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
</span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>actor</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">,
we change the value in map to 2. Then we reload the scene with new
</span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>X_room</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">
and </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>Y_room</i></span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">.</span></span></span></span></div>
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<span style="font-size: x-small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">It
may seems strange why we are reloading the scene instead of switching
it. In my solution things specific to the current room(such as
monsters or items) are generated on room creation based on value of
variables </span></span></span><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><i>X_room
and Y_room.</i></span></span></span></span></div>
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<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span lang="en-GB">Further
development</span></b></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">The
present algorithm creates a map that has all rooms connected to the
neighbours. It's good because there are no islands which can crush
the game. On the other hand to make things more interesting it would
nice to add walls between rooms, so that even if there are two rooms
next to each other there can be wall between which would prevent
creation of exit and making things to easy for player. </span></span></span></span>
</div>
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<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Tags:</span></span></span></span></div>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Stencyl, maze, Metroid, Zelda, RPG, room </span>
</div>
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-50589066544308818532015-03-08T15:40:00.001-07:002016-02-28T08:00:17.735-08:00<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-large;"><b>#Stencyl:
Match game</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Difficulty:
(5.5/10)</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>What
is a match game?</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">In
match games you start with set of covered cards. Upon clicking two
cards they are revealed. If they have the same picture they are
removed from the table. If cards have different pictures they are
covered. The purpose of the game is to remove all cards from the
table.</span></div>
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<span style="font-size: x-small;">Example of match game</span></div>
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<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Original
request:</b></span></div>
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<div class="separator" style="clear: both; text-align: center;">
</div>
<div class="separator" style="clear: both; text-align: center;">
</div>
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/YXbD5IMIkKs/0.jpg" frameborder="0" height="266" src="http://www.youtube.com/embed/YXbD5IMIkKs?feature=player_embedded" width="320"></iframe></div>
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><b>Follow the
link to get to the finished game:</b></span></div>
<div align="LEFT" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">http://community.stencyl.com/index.php/topic,39370.0.html</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><b>Link to
video of the game:</b></span></div>
<div align="LEFT" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">https://www.youtube.com/watch?v=YXbD5IMIkKs&feature=youtu.be</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Match game
algorithm:</b><span style="font-size: small;"><span style="font-weight: normal;"> </span></span></span>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Problems while creating match game involves:</span></div>
<ol>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Creating a matrix of cards</span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Applying which card has which picture</span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Revealing card upon click</span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Comparing 2 cards and effects of comparing</span></div>
</li>
</ol>
<ul><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
</ul>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>How to play:</b></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">In my Stencyl
game there are 12 cards on the table. You click on two of them. Cards
are revealed. After revealing player waits for some time. If cards
have the same picture they are removed. If not they are covered.</span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Creating a
matrix of cards:</b></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">What we are
trying to achieve is something like this:</span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<img alt="" src="data:image/png;base64,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" /></div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Cards matrix</span></div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB">Let's
deal with creating a single row first. We pick a place(x,y) were we
want to place our first card(red). How do we know where to place next
card(yellow)? In the same row y coordinate will be the same for the
all cards in that row. So all we need to do is update x coordinate of
red card to get x coordinate of yellow card. We don't want cards to
overlap so we add <width of last created> to <x>. We
want some spaces between cards as well. So we add additional <40>
to <x>.</span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" src="data:image/png;base64,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" />
</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Single row of cards matrix</span></div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<img alt="" src="data:image/png;base64,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" /></div>
<div align="CENTER" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">code
for creating single row</span></div>
<div align="CENTER" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
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dzwbbclXMyNNw5it2Eiw8ksmcWSWSyZZUBD/dfcBv/cz2Xe85e+NKuL+fCHB7fb0JDhZJbMYskslswyuK1uzmrwhRfm3/ZXv9rNn380F3PNNYPebTjIcDJLZrFkFktmGehcN8y+wa97Xff88wO58+3bu9HRmV3ML/9yP7sNARlOZskslsxiySyDXuz3ZtPg1762+973BnjzDz7YrVw53Yt5xzv63K11MpzMklksmcWSWXoY7YNH1+DTT++efHLg9//II90rX3nki7n44v53a5oMJ7NkFktmsWSWnnb7xCdm1uATTui+852eJti5s3v1q6e6mIsuqtqtXTKczJJZLJnFkln62+3Tn55ug5ct6x56qNcVdu3qVq8+/MWcd1534EDVbu2S4WSWzGLJLJbM0utud9xx5AYvWtR985sFQ+zd273+9YdezDnndHv2HPbh/ezWLhlOZskslsxiySx97/blL3cjI5M2eGSk+9rX6sbourVrX7yYM87onn56sgf2s1u7ZDiZJbNYMoslsxTsdv/93aJFh8/wl79cNMMEl17aRXQnndQ9/vgUj+pnt3bJcDJLZrFkFktmqdntW9/qli07tMF33FExwOG8973djh1TP6Sf3dolw8ksmcWSWSyZpWy3HTu6V7zixQZv3jz4O33hSDobU5HhZJbMYskslsxSudt3vtOdfnoX0f3xHw/yBg89kk7LVGQ42Rxc8rBvp2n+aYj0N+T0zcElG2XJLMW7PfFE96lPDfLuZLhGcYZJMp2OHsWHzPScQLu8x2vIcItSkpmSYW9XGA7e12VkeI4bXCbTMyzS0Cjv3EoyPNf0FsKeMzzFu9obHqr4H+h6MjzXvJwzfHQfDhwFb7e5QoZLJGaprQz3c7PAFLyP5hYZ7kdtmQZ9C3Mtw1M8ox9leNny/7JzlAwPVJ9x6l9uFPvP8FzeFlJ4wTdAhtOlvOibe5MM4jbnTobb+m/By5yXdGNkOEv6S3/I3hVDmeFZ3hGkGNzrmT7I8GwM9Af0l5seGpz+LP3chdcJBw3ohUclGT4KfmwtNKcyOdCT5z4jbenthU09GZ6+gf54SqLeMjno81c94zT35OhMvedR/wDih6BWyfD0pf/oRq1Wotj/MyY+y4xO1YSBTj398x/1tTHnyPBMzf5tRlvSfwDtrWr9tyH9gvtfuKG1p/+BzGmtZHhVxEkR86svY9zRvUN4OXiZhyH9PD3PO0fWnv5zTfaBtKSVDP/niI0RN0RcE3FpxLkRoxGjEfMiFkQck/Qs03l7TPZgL32OwtwMQ9YTNXS/A7r+o36iaT4Xw6CJDB8T8c7vv+zGInZE7Iy4N+ILEX8Q8c6IdRFnRbwm4oRZPMtRvNC9E6jVW4GqTtLb/U7zvT8Xnoth00SGI+K4iC0/+Fo8ELE/oovYH/F8xDcj/nvEn0RcH/GxiHURqyN+KGJhxNKIeVOe/CjeIdCc/vs3y2vIuozEOvb5XLxctJLhiLgs4olpvJT3Rzwd8e2IByP+IeKzERsi3hzx0xE/HXFWxI9MOKc3CcyIDMstyRrKcER8cYYv9wMRz3//209H/H3EHRFbIj4W8X5vHph75niGIV9bGT4zYm/GW2uP9yEAc0FbGV4YsbHH/xF+X8TFESdEzItYFnFsxMLqBQAYKm1lOCJeH/HdXhr8LxE7I3ZGPBJxX8TnIn4z4t9FrI1YFfGaiMXVUwDQvOYyHBG39vgT4kOO/RHfjfifEV+M+ETEf4l4f8QrqwcBoFUtZviMiH11JX7pz5jfHxF5X0IEgJeRFjM8L+La6gBPPO6POL16EwCa1GKGI+K1EX9TXd+Jx4ciRqo3AaA9jWY4Iv5DxHPV9T14PHykL9QFAIfRboZPjfhmdX27iG9E/HbEyuo1AGhScYa7Wdi4say+IyPdCSd0Gzd2jz126FVVLQlAixrO8KOPdj/1UwUNftWruquv7p566sBhr6pqSQBa1GqGDxzouq7btKlbuHDg3T3mmBe+cdJJ3a/9Wrdt21QXVrUkAC1qNcNd1x04cKDrup/8yT4avHJl90u/1H39692+fUe4qqolAWhRwxket3Xriz9bHdBxxRXdX/7lCz//PqKqJQFoUfMZfuqpbt26gdR38eLuggu6O+/snn12BtdTtSQALWo+w13Xffaz+b9D/MY3drffPrMAyzAAMzUMGX7++e5nfzanvgsXdj/6o93nPtft3XuUF1O1JAAtGoYMd133ta/NNsDz5nWve1133XXd/v3T+01gGQZg1oYkw88+273//TNO78HP7Vq9urv++m7HjoQrqVoSgBYNSYa7rrvnnu7kk2dc4tNO6z7yke7hh9Muo2pJAFo0PBnev//Au989gwAvXdp98IPdN76ReAldJ8MAzMTwZLjruvvv70488cgBXr68u/rq7q//era/DXxYVUsC0KKhyvCBA92v//pUAV6woHvXu7q//dvuuedyn/lFVUsC0KKhynDXdd/4RnfGGYcJ8LJl3UUXHeHLQaeoWhKAFg1Vhse/3uRv/dahvwe8bl132225TzWpqiUBaNFQZXjcrl0HTj/9hQavXdt95jPd7t2DeJ7Dq1oSgBYNYYa7rvv4x7uf+InuT/+0e/LJAT3DpKqWBKBFw5nhvXu7b397QOc+gqolAWjRcGa4UNWSALRIhpNVLQlAi2Q4WdWSALRIhpNVLQlAi9rOcMpJcs9ctSQALZLh5DNXLQlAi2Q4+cxVSwLQIhlOPnPVkgC0aBgy/Oyzz1599dXHH3/80qVL169f//DDDx98wNatW9etW7ds2bLFixeff/75d91118QPf+655zZu3HjuueeOjo4uXrz4ggsu+PznPz/xzAcfee+99y5btiwirrvuOhkGIMswZPjSSy+deM6TTz55bGzssFFcsGDBAw88MP5d+/btW7t27WSXNPHbW7duXbJkycjIyC233DLNSwKA6RiGDJ922mn33HPP7t2777777lNPPTUirr322vEHXH755du3b9+zZ89DDz10ySWXRMRb3/rW8e+6/vrrI2Lp0qWbNm169NFH9+zZs23btvXr1x+S4S1bthx77LELFy68bXp/SVPRkAA0aRgyfPBXkserGRFnn332Sx+8c+fOiDjllFPG/3H16tURcfPNN09x5s2bN8+fP390dPTOO++c0SUBwHQMQ4afnPD3KD3xxBMRsWjRoq7r9u/fv2HDhjVr1ixZsuTgMy5cuHD8kYsXL46InTt3TnHmkZGRZcuWbdu2baaXBADTMcwZ/sAHPjDFk04nwxGxYMGC22+/faaXBADTMQwZnuwXpVeuXBkRt95669jY2P79+8fGxiY+6Zo1ayJiss+6Gn/kpk2bImLevHmbN2+e0SUBwHQMQ4Yn+xStFStWRMSWLVvGP0Xrsssum/ikN9xwQ0Qcd9xxN91002OPPbZnz5777rvvpZ+ideONN0bEyMjIZL+LLMMAHLVhyPD4p0AfdPAPLF1xxRUT//369esnPum+ffve8IY3THZJE789Huxjjjlm48aNMgxAomHI8DPPPHPVVVetWLFidHT04osv3rFjx/j3jo2Nvf3tb1+5cuXy5cuvvPLK3bt3H/Kk+/bt27Bhw6pVqxYtWjQ6OnrhhRdO9uU7xv90U0R89KMflWEAsrSd4TmoakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWiTDyaqWBKBFMpysakkAWlScYQB4OZNhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMjIMAGVkGADKyDAAlJFhACgjwwBQRoYBoIwMA0AZGQaAMp9628//f3eYs50Rfp4tAAAAAElFTkSuQmCC" /></div>
<div align="CENTER" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Going
to another row</span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">We have dealt
with single row but how do we move to the next one? We want to have 4
cards in each row. So after 4_th card we want to start form the
beginning of the next row. It means we want to change y coordinate of
the next card in the same fashion as we were changing x coordinate
for single row. The first card in new row must have the same x
coordinate as the first card (<x_start>). </span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">Everything is
fine but we can't limit ourselves to saying that after 4_th we want
to start from new row. Because in the second row we want to do it
after 8_th card. For 3_rd row after 12_th card and so on. We could
count cards in each row and ones it hits 4 move on to new row but
instead we can use <remainder of .../number of cards in row>.</span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
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" /></div>
<div align="CENTER" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><span style="font-size: x-small;"><span lang="en-GB">Code
for creating a matrix of cards</span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b><span style="font-size: medium;"><span lang="en-GB"><span lang="en-GB">Applying
which card has which picture:</span></span></span></b></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">In
my game I have 12 cards. This means there are 6 types of cards
(12/2). What we want is to give each card a number from range 0-5 at
random and there should be always a pair of numbers. </span></span></span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">At
first we generate list filled with 0s. This list will tell us how
many cards of given type has already been created. </span></span></span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Then
after generating list for each card we pick index(i) in the list at
random. If value from list[i] is smaller than 2 we give a card number
of index and we increase list[i] by 1. If value in list is equal 2
that means that there is already a pair of cards with the same
picture/number and this number can't be given anymore. If we can't
give number (i) let's try i+1,i+2,i+3, etc. until we find list[i]<2.
If (i) is out of range we move to the beginning of the list using
remainder/(number of elements in list).</span></span></span></span><br />
<br />
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB"><img alt="" src="data:image/png;base64,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" /> </span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div align="CENTER" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><span lang="en-GB">List
of card types in different situation: A – list at the beginning, B
– list after giving 2 to the first card , C – list after 6 cards
with given twice values: 2,3,4; 2,3,4 – can't be use anymore </span></span></span>
</div>
<div align="CENTER" lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" src="data:image/png;base64,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" /></div>
<div align="CENTER" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;"><span lang="en-GB">Giving
the number of picture to the card</span></span></span></div>
<div align="CENTER" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: medium;"><span lang="en-GB"><b><span lang="en-GB">Revealing
card upon click</span></b></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">As we
click on the screen we need to figure out if we clicked on actor. As
we created card actors we added them to the list. Upon clicking we
ask if clicking was possible. Further info about disabling clicking
in <comparing 2 cards>. Let's say clicking is available. We ask
each card in the list if at the time of clicking mouse was placed on
them.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Let's
say we clicked at the card. Before we proceed we must ask card some
questions. We ask card if it's alive. I don't kill cards in Stencyl
sense but instead I hide them and say they are dead. This approach
decreases chances of referring to destroyed object (and shutting down
the game). We ask additionally if card isn't already uncovered. </span></span></span></span>
</div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">If
all conditions are met we tell card to change its animation based on
its number. If it's the second card revealed we move on to checking
if these two cards have the same picture.</span></span></span></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
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tj5IZGNli4/ZGX+0PDw8PDwML0EPgQAAAC4TpGel+WDNY+nYBjUTCPG/CFd6kVbiS4/pKvfeBXhydqqClUFqJ03nT807/kNX92aKRSx+/2y6Zl/6muGDwEAAAAO8ePvD1mlLH6IaHf3JxbExyBSx0bgQwAAAIDrBNqHWHObiuVVD/5m0+7uT1RZIisxPfPP1LGRh+vfgQ8BAAAArlMJPhRkIEMAAACAc1zwodbmFZ5rQTCBDAEAAACu4I4PtTavmP1AwghLAzwQx/OrBwAAAKgMXPOhl4xDUIlmP5DgVIJAeBKe36IAAABKgDs+1MQNcR/i14NAeBKe36UAAACKjQs+JI0ZtdwwVaLZDyT4NSAQHobnNyoAAICiUiIfqq2t5U+FKcGQhkDYjurqas/vVQAAAMWjdD7En6VRgiFNJOrr62OxWBwR1IjFYg0NDU8//bTmwoAPAQBAZVM6H/J/1NfXNzU19fX1TU9PO/gRaUS5Ri6Xy2QyLS0tDQ0NmmsDPgQAAJUNfKgQsVisr6/P60EZ4XFkMplYLKa5NuBDAABQ2cCHChGPx40zQ2Z/id4w7K1oaS3b++Zx3bpIR0PRtOt7Y3GlXC4Xj8c11wZ8CAAAKptA+FBNzZaThBBycktNDadYPB53eSS2vyJzrXQ0xKyq8nzI1SO1vhJ8CAAAggZ8qBC+9yF3N+F93brwRX6IwIcAACB4uO9DsnxIcXJLTY3xkpMn5TfGuxqVQie3mBeora2tqWnsGleqHe9q1K9FLyzswObFm5l6pPGhdDQUDofD4XAompYG1Ugkv6QwvI4lIyHtQv2K+XfGkpFQSDPijyUj0hLlBUlH/33VbtbmCrogtG+8Y8n/NxwO52vM1yHvXzqqFNBnaoz3WVctta0QK+Wj3jE6P2R4pIyTyWoF/iFIkUql6C+XpVIpaTl8CAAAgob7PiQ5iqQslLWMdzUWXkbzRkKrj0qDNpsXMKuWel+THzJKF6l8SPvEpjD0s3SAFIZqxorM5Zr3JR/JS8GqXtbmFEsQ2Tc6jDZN7Z1qRc1r/bqsfVZtVV7LJDWj3TGdD4mcTGYrmB4CIYSQXC6XSCQkGUokElNTU9Jy+BAAAAQN931Ioxq0fOh0R7XQVgE6zNcSf16mG0PpBYXROqyOaJq5YigcDmvzQqoC0fRYMhJNk3RUetXL3Jz8QmjfDN5WCmlzJ0Z1sGWCsc9pZrXaBA9/x0SOVHcyWa0gcAj5uHbtWktLS3Nz8/h4IdkIHwIAgKBRpPzQeFejSH7IiQ81ajZk5F56H7KbH9L5gtCkZyqlYZClGUtGIpFocowQko5GIpFI8gLXh4T2jbNLTFeg6zB6zd9nMwVh7JmT/JDyBi+DxTsEJYaHh4eHh+kl8CEAAAgaHs8fsu1DW2pq1POHeGvV1tZSu2A4f6i2tvbWrVv04MyeuUKP7NTMFWWENpnywlUo+SXXhwT3Tb0Fo/lDjPwQIWPJiMnkG/Y+a6s1rcfp/KHCwz5tK5gfgkHMzMzoc4fwIQAAqGwC8f0y8Th48KDwuImozOjp6dFfGPAhAACobOBDqnjmmWcOHjxIZ4kQwYmZmZmenp66ujr9hQEfAgCAygY+hECYBGQIAAAqHhd8qLV5hdcDFgJRrIAMAQBAEHDHh1qbV1Qbh6WxB4HwVXh+iwIAACgBrvnQh633GFEtpkTV1dWcSgAApcHzXgkAAEqPOz408NaPOIj7EL8eAEBp8LxjAgCAEuOCD0kdaFdjmIOpElVXV/NrAACUEs/7JgAAKCUl8qGuxjB/lobnvT8AgKZ1wRzPuycAACgZpfMh/pSFovbsDR3zAAgg8CEAABCkdD7kFQ0dswAIKGvsZ17hQwCAQFHhPtTQMa9hTXUQWLquCwANDWuqf1b7DfgQAACYUsk+FBwZmr+8CwAmtpUIPgQACBQV60NBk6F5z28AgIk9JYIPAQACRWX6EC1Dnj+zEHyuAR/yP55fJ6Ywd3v2AwkbSgQfAgAEigr0IVqGPH9aYem5BnzIz3h+hQhi5ENWlQg+BAAIFJXmQ3oZ8nwcFQc+5FvK+iQrPmRJieBDAIBAUVE+pJkzVHZjGD1uwYd8RXmd5NkPJDT/pS8YQSWCDwEAAkXl+JB+AnV5jWH6cQs+5B/K6yTzfUhQieBDAIBAUTofOhCNXiGEkN6haMjquzZkSC8KA4QQMtpWt54/llTVHREsWYxhzD8+VOzzULV6MEukGC3xebaBuyeZf26dn3lTHxJRIvgQACBQeOxDysLBVats+5DRV+v96UNVdbs6J9j1m/rQmsxlcn5tBfiQfBJudK7WVq5stARiKl6/Jz70+hKb2iTiQ6ZKBB8CAASKss8PcX5nyIc+JFduzYfq2184ep0QQq5mXqiM/JBI5R4m6vT4MD/k3If4SgQfAgAECvd9iBBCzkQPRB87/wUhX3R8FA0NnSGEkM935zNAV85IQnDxfCLEzA/l1yWFYjZkyMiHBk5J1eYzE3KiorBQ9+n8RlYuMJA0WaXz8A0j1xEcxnQmtPY0IYRcPtox3/Zh0lvU5x7kkiR7eFeb/HogWSg5QC0UPHzW8RYsUL1EW169e4Uyry/ZabRdo0OY9/yGquQoXYnmnBucCkbWSnOSTQ8qe3iX/rToD0o8P6Q5EH1V9nyIo0TwIQBAoHDfh2StkUTn4vmExnjIlT2hA4mOfxBCvug4JmvQYOHFo+e/IHlbkot9xEoaWZ1YMyAPk/mZKxODS/JD7I3O1fRCrQ+p3+WsYjLOWfWh+va1p8mJHe2GJiR8mBwfotVHpUGqAhYPnz4offk67rMw5vMy+vmafrtmh2DYHJwjrVOvojnJkplJyqVt3/y8KL2y/PfAhHYPBX2IeSCu5IcU4EMAgIDjvg9J2aArZ3rJmejQGXKlt+MfRMoYFZ6I6dNCuhd0GD5E+1ntN6zmh5hOQI/lzEFIcBWRJzvW8kMde68SYiM/xEwFmS4UXsvC4fO3IuxDJts1qlxJFxFCyKkjXB/i7Zjps1dqejj7tAgePtOHmAfilg8hPwQAAK3F8KEDe3qlTvsfvY991HtRen1lT0jYhwr5IZH5QxwlEhCFnfpZvWwhYCVIRBTHoQ/ZmD9UFB9ycPiu54eY2+XbhtHmbPuQZmdMT+A89RRy2/OpBaUK84cAAMAqRfChwpMy+YGX2oH4PqSbP0RMJ1kbKZGpKFADrRL6/FDhLfXAxlhFeLK2qkLBz/ENYt8vYx8mN3vBHc6dHj7zkEV8aJ5q9o9m/pCdQ9A/3rLtQ4z5Q6r5PezTom8Fi8/LtAdCnx8bPoTvlwEAgEKF/B4jU4kcfieo9N9v8tXvDwGa8jrJ+P0hAACwSoX4EFOJvPIh1mQXoXrgQ76lyD9qYPlS4YPfpwYAAKtUjg/plajsRAE+5FvK6yTj75cBAIBVKsqHNEpUdmOYDRkqu8MsU8roJGtkaB7+vj0AAAhQaT6kUSLPByfxMcyeDMGHAI1ehuZRV5e4DMGHAABBowJ9SKNEsx9I+B/bMgQfKrFt+By3ZAg+BAAIGpXpQ11mP9VYYXguCsCf2JYh+BAAIGhUrA8FTYk8z0wAH2JbhuBDAICgUck+FDQlAkCPPRmCDwEAgkaF+xCUCAQZ2zIEHwIABI3K9yFJiQAIIJAhAAAQJBA+BAAQBzIEAAggJfKh1gVzOFjrqQEARcXrXgkAAEpPKXxI6mHPLl1gRKuYErUumMOpBAAAAADu4rmmVI4PSTJ0fP4CDuI+xK8HAAAAAO7iualUjg9JJ7Rn3iIOpkrUumAOvwYAAAAAFAPPZSVAPtQzbxF/ToPnVwMAAAAQTFpnzfXcVwLkQ/xHmJ5fDcAnNHTMAwDYxvNbGJQj8KGS+hAApjR0zAIAOMTzGxmUHfAh+BDwEfneXP0TzHO2NgBQPDz/kfEi4fntDMoL+BB8CPgIvQ+F1/8KgGLjubsUg5/VfsPzOxqUEfAh+BDwERofyg9Xry4AoNh4ri/wIeAt8CH4EPAR8CHgGU9833ODgQ8BD4EPwYeAj4APAc+AD4FgAx+CDwEfwfehh9ctff/wgd4SxtFjH67d87t7X1vsZKAt/W4HIfhNMzu+YO7yyPeWPvb93z5258Iff/+3j31v6WNzl0dmx+FDALCBD8GHgI/g+9C+I10N777+4Jrnq9qeKw0Pvfnblp0bdh9KOfGh0u92EOA0zez4gvuXPblu5zufnD515cqVPXv2XLly5ZPTp9btfOf+ZU8aKhF8CAQb+BB8yL90/3TR1meXvhqNxX0fTY2xLc/VH35wscND5vtQb2/vT9uW/Pi1Z0tMb2+vEx/yareDALNp7m54dO32zdlsdmpq6uuvv06lUl9//fXU1FQ2m127ffPdDY/ChyqSMuowvQ2j7ho+BB/yNUcfrBnb/cE/v7pFfBy3p2cupbqPPfwr58dr6kP3tzxdJBa9/fKit19mvuXch4q320HAatPc8+tH/vTJ0OTk5O3bt8+fP9/V1XX+/Pnbt29PTk7+6ZOhe379CHyoUimLDtPb4HTX8CH4kK8Z2/2B17ePaFxKdTs/XlMf+tHq2iKxZfe2Lbu3Md8S9KHQxtTF/MkY1PhQ8XY7CFhtmnuee+jcuXO3bt3K5XIHDx5U/r1169a5c+fuee4h+FClUkYdprfB7K7hQ8Xyoe66AzfzZ35opGqh7eu7u2rThONKypcy+qBze3rG+fGa+tAPX11cDJ5au7yrq6urq+uptcv174r4UKjpxY5rhJDPOzZG9PmhIu12ELDRNN955udnz56dnJycnp4+cuSI8u/k5OTZs2e/88zPfe5D9e1rTxNCyIkd7fPd9SEn3bJgP+xtj011mOloKJp21KWNJSOR5Ji7Jf0SzO4aPlQUH+quWjWaJYRcGa2zc0vQdxTz7qokSeIfC/eSTkdDrtyEjI4jHbVTs9Wj02PqQ99/ZWEx2LDz3f379+/fv3/Dznf174r50PpeQggZjDYxfKhIux0EbDTNvz103zvvvLN9+/b333//0KFDPT09hw4d2rdv344dO7Zu3fpvD90XTB9y2C2Xxoccrs7q1jj9JN+ZSuNDTrrxsWQkFA6Hw+FwyHol+rMHHyqSD7l2S1SS+ti4/+3dJRZD3Smko/buLlISH7ov9hTNvY0rdnxBCCF9e564d88gIYR8sX9x4xOaYg7RDLqy+kgxGG2KqJcQ/fMyfZ2L05/T5Xfk//v5jvVPKAelHI5UWDnGS+kV967ff0lZ++yG+2JPvXq2UNurbp8B38L0odkL5124cOHLL7+cnJz8So7Jyckvv/zywoULsxfOC6oPOepLyyI/RN1TIvkhP/iQk0hHld23rlX6swcfKooPTahO+9Cpn2yklqgsZ7TzirRQd+MpMfo3QggZmhiQ/ntltE4lSd1tQ/S2NDeh/l15XXqJ9LGJUT+90Z7CByzVQsN+gbFpow0VilnxIeVmHktGIhH5g4J8UxQ+OoTDYfmup+5/+RZOR+VPGIXbyeT2TqVS9LcVUqmUtNygDy0cnf5KsOpDc6NPaLh71cvbrxJydbDvKiFX/7Bo1eP6Mg7RDLrKc7H8hKFrqccKSsTOD+nrXNT7OSGfb088fnfnICHkYu/Ldyf+cJGQi70vN50h+bcSf7hICDmzflHv54SQvs5C4aYzhJDBJvlgC7WtWt9HCDmz3vWT4E/YqbsnfzwyMpLNZq9fv/43Oa5fv57NZkdGRsJP/ljEh2QpycfVzAsNa6rru05Qy7S+IknM6fPSu5ePdsynzUZ5vb3tTXVJcjXzwg759emuQsnT1MKGNdX17S8cva5sXVX/0cxlaZc4PuRGt6x0iWSijd0lGneeqr7uZueqfA+ZPdBP9Y3jr2/UfRgW3UMDH6L7SVU2hdX10cHsQqXF+s7WpAcu7IFcjywwVJ+cjmrKyxWHQqZuZ9xni3fX8KGi54foJG3+6XX2wMeqW1F7WbPyQ2SiTb+6cksbfhbRvKvcddLN3KPOIet3T73RlfqS/cafgQw2rV3d2cupuEcAACAASURBVPMy3V1WeEnfH8pShg+xPiSZ+FAul0skEtLdlUgkpqampOUMKTS7EjQn0NSH7l65QM93VySOE0LI4CsrIswCprzVsWnv3r179+59q2OT/l3NoKt4D+1AfB/S17nwo8uEXN72duS77w0SQi5+9NJ3305dJGTs2FvbruaPJX9cV1Orjl0mhBx/jyr83qDSHBc/eumVv6hb6C8Je+fBh1hqGok7H7+/PzPw6aefZrPZCTmy2eynn37anxm48/H7LeWH6jv2XiWE9hijtI3kT6e75udXub63nVpF50O0+qg0SFWgUJUkQ5ePdujrV4LnQw67ZcEukdl50re5PIdp6FR+dTLRJn+sHdik7OQpbuXMPeT7EKtTE88PyV0obTSFAswemFmT3tLkF6oVZVli1sYIXnZIvLuGD5XAhxiv+R5jafWRAarlBzZpqtK8q5cPXYZGW79uo6qSnJywwaa1q7vkQ8rNwFyoLHXHhwgh165da2lpaW5uHh8fVxbaaMoRiz70nZcf03DXS8u3XSXk6uDxq4Rc3ffUS4/qy5jyyOrnd+/evXv37kdWP69/13l+SF/nU8cuE3J521uP3rVrkBBy8djyu97ad5GQi8eWx/5C8m+9te8iIeQv//mU5EO7CoXVx75vxYf52mwcu8+x1DQS33ryRzv37RkaGjpz5sxnn302Ojr62WefnTlzZmhoaOe+Pd968kdC+aG8BilxYkf7fCWLQwgh59eyfIidCjJdKLyWapf4isb1IcvdsmCXyOw8R6oWUlO58yUL2f2BTVJvOdHG3hnBPeT7EKFz4fp8OSNYXSiVwqESOcweuLA5OgWVL1qYocnomwlX4rSRjppmjwS7a/iQt/khF3xIvwqnQvozhz5tw98B/boONy2yutl9IOhDyqcH6mNE4aUdHyKEDA8PDw8P00vMmtKF/NBdLz1KM+fFZduuEkJIeucv50j2cHXfEy/+UlNMhDd+t/6N361nvmU6f8h0PrW+zifyBvPLOTv/RAi5+OEyaf8vfrhMOSgiH86cF9+mG+jih8tif6aug52/vOulR+kl5M9v2zgDvkW8aSTueLaqdsUL/f39J06cGBoaOnny5NDQ0IkTJ/r7+2tXvHDHs1UiPsRUFv78nqL4ECs/JDjTyG5+yMyHWPkhs87TQJLox23qfDk3P2TTh3TvifsQlbBhdI2sHpiuW5NpikSj+vJG+SFuTyzgQvkQ6a7hQ6WYT815DGx0WVOTb/Lzh5h3l+YDivIUTH0Pq941mz9ERO9eTQHd0M7aNGN19cFq07/c79ub+pD26bW0VP68EolQalT4BEN9ALL0fVWj79vTR+d8/tB/LP9Fkahueq666TnmW85/j7F4ux0ErDbNv6/8xR0P3/furu3H1fHuru13PHzfv6/8hVB+SDVViOgzNNKcHlOF0ueZhH2osIqkO+r5Q9qqrM6nttotax5UyZUId56q+ZRE3/up+2eT+UNGAwfr+/aFVIs+W6Pq+rTB7kLp+UPy907Me2B6E2qJMZ0/ZOxD1J5od9Is8H17/B5jUZBu0Zudq4pRuYOfFyv1Vx5K83uMsxoeLj3HPjrm0Ic82e0gYNQ0d/zmgTvm39v4Rsvhnu7+/v7DPd2Nb7TcMf/eO37zgGFL+eb7ZW6B32NEGAV+jxE+VBQkH9KnplxB+fn5qPpzgECStHQ+VLK/13HkaM99Lz8eWlpdSha/8eLW3+9w4kOe7HYQ4DfNt5dV/+sjd3/z/tD/+MH//ub9oX995O5vL6vmtRR8qPyx+/c60tY72BKHa3uIv9cBHwLlAd+H2nZsXPVO+52//XnJWNS+/FDPkUde+7UTHyr9bgcBV5oGPgSAAnwIPgR8BN+H7m1Z1Nm1r7dUceyjY+/s3f6L1t+EX9FOkbZEiXc7COFW08CHAFCAD8GHgI/g+xAARQQ+BIINfAg+BHwEfAh4BnwIBBv4EHwI+Aj4EPCGipMh+BCwCnwIPgR8hMaHGtZwvxAEgCtUogzBh4BV4EPwIeAj9D7UsKY6/MT3ASgenosLfAj4AfgQfAj4CKYPAQCsAhkCVoEPwYeAv/B8IAGg3IEMARvAh+BDwHf8rPYbAADbeH4Lg7IjCDJUIh9qbV7heXMCAAAAwCoBkaHS+VBr84rWWXONsNYwAAAAACgNXmtKBfrQ2aULjGgVU6LWWXM5lQAAAADAXTzXlErzIWkKkRHiPsSvBwAAAADu4rmpVI4PSSfU1HUcFgAAAABAMfBcVgLkQz1mc4M8vxoAAACAYBKEiUQ+8iH+I0zPrwbgExo65gEAbOP5LQzKEfgQfn8I+Iv8T1QDABzg+Y0Myg74EHwI+Ih8b67+sd05WxsAKB6e/5x0kfD8dgblBXwIPgR8hN6Hwut/BUCx8dxdigF+qBpYAj4EHwI+QuND+eHq1QUAFBvP9QU+BLwFPgQfAj4CPgQ844nve24w8CHgIfAh+BDwEfAh4BnwIRBs4EPwIeAj+D708Lql7x8+0FvCOHrsw7V7fnfva4udDLSl3+0gBL9pZscXzF0e+d7Sx77/28fuXPjj7//2se8tfWzu8sjsOHwIADbwIfgQ8BF8H9p3pKvh3dcfXPN8VdtzpeGhN3/bsnPD7kMpJz5U+t0OApymmR1fcP+yJ9ftfOeT06euXLmyZ8+eK1eufHL61Lqd79y/7ElDJYIPgWADH4IP+Zfuny7a+uzSV6OxuO+jqTG25bn6ww8udnjIfB/q7e39aduSH7/2bInp7e114kNe7XYQYDbN3Q2Prt2+OZvNTk1Nff3116lU6uuvv56amspms2u3b7674VH4UEVSRh2mt2HUXcOH4EO+5uiDNWO7P/jnV7eIj+P29MylVPexh3/l/HhNfej+lqeLxKK3X1709svMt5z7UPF2OwhYbZp7fv3Inz4ZmpycvH379vnz57u6us6fP3/79u3Jyck/fTJ0z68fgQ9VKmXRYXobnO4aPgQf8jVjuz/w+vYRjUupbufHa+pDP1pdWyS27N62Zfc25luCPhTamLqYPxmDGh8q3m4HAatNc89zD507d+7WrVu5XO7gwYPKv7du3Tp37tw9zz0EH6pUyqjD9DaY3TV8qFg+1F134Gb+zA+NVC20fX13V22acFxJ+VJGH3RuT884P15TH/rhq4uLwVNrl3d1dXV1dT21drn+XREfCjW92HGNEPJ5x8aIPj9UpN0OAjaa5jvP/Pzs2bOTk5PT09NHjhxR/p2cnDx79ux3nvm5z32ovn3taUIIObGjfb67PuSkWxbsh73tsakOMx0NRdOOurSxZCSSHHO3pF+C2V3Dh4riQ91Vq0azhJAro3V2bgn6jmLeXZUkSfxj4V7S6WjIlZuQ7jjGkpFQOBwOh8Mh65VbPTo9pj70/VcWFoMNO9/dv3///v37N+x8V/+umA+t7yWEkMFoE8OHirTbQcBG0/zbQ/e9884727dvf//99w8dOtTT03Po0KF9+/bt2LFj69at//bQfcH0IYfdcml8yOHqrG6N00/ynak0PuSkG3e5u4YPFcmHXLslKkl9bNz/9u4Si0F3Cuko9dLqLea8dzP1oftiT9Hc27hixxeEkMFXG5+4t3FDHyHki/2LG5/QFHOIZtCV1UeKwWhTRL2E6J+X6etcnP6cLr8j/9/Pd6x/Qj4oQuTDkQr37Xni3j2DhJBL6RX3rt9/SVn77Ib7Yk+9erZQ26tunwHfwvSh2QvnXbhw4csvv5ycnPxKjsnJyS+//PLChQuzF84Lqg856kvLIj9k0K0ZhR98yEm43F3Dh4riQxOq0z506icbqSUqyxntvCIt1N14Soz+jRBChiYGpP9eGa1TSVJ32xC9Lc1NqH9XXpdeIn1sYtRPb7Sn8AFLtdCwX2Bs2mhDhWJWfEi5mceSkUhE/qAg3xSFjw7hcFi+66n7X76F01H5E4bmdjK+x1OpFP1thVQqJS036EMLR6e/Eqz60NzoExru7hwkhPR1Pq680JdxiGbQVZ6L5ScMXUs9VlAidn5IX+ei3s8J+Xx7Ir/bF3tfvjvxh4uEXOx9uekMyb+V+MNFQsiZ9Yt6P6ePUS4z2LTqcW1tq9b3EULOrHf9JPgTduruyR+PjIxks9nr16//TY7r169ns9mRkZHwkz8W8SFZSvJxNfNCw5rq+q4T1DKtr0gSc/q89O7lox3zabNRXm9ve1NdklzNvLBDfn26q1DyNLWwYU11ffsLR68rW1fVfzRzWdoljg+50S0rXSKZaGN3icadp6qvu9m5Kt9DZg/0U33j+OsbdR+GRffQwIfoflKVTTHs+vLB7EKlxfrO1qQHLuyBXI8sMFSfnI5qyssVh0KmbudGdw0fKnp+iE7S5p9eZw98rLoVtZc1Kz9EJtr0qyu3tOFnEc27yl0n3cw96hyyfvfUG12pL9lv/BnIYNPa1Z09L9PdZYWX9P2hLGX4kMGHJN7HjVwul0gkpLsrkUhMTU1JyxlSaHYlaE6gqQ/dvXKBhu+uSBwnhFxNbfsLIWTwlRURfRlT3urYtHfv3r17977VsUn/rmbQVbyHdiC+D+nrXPjRZUIub3s78t33BgkhFz966btvpy4SMnbsrW1X8weiHNqqY5cJIcffowq/N6g0x8WPXnrlL+oW+kvCxknwJ5aaRuLOx+/vzwx8+umn2Wx2Qo5sNvvpp5/2ZwbufPx+S/mh+o69VwmhPcYobSP50+mu+flVru9tp1bR+RCtPioNUhUoVCXJ0OWjHfr6leD5kMNuWbBLZHae9G0uz2EaOpVfnUy0yR9rBzYpO3mKWzlzD/k+xBIG8fyQ3IXSRlMowOyBmTXpLU1+oVpR7n6ZtTHCne4aPlQCH2K85nuMpdVHBqiWH9ikqUrzrl4+dBkabf26japKcnLCBpvWru6SDyk3A3OhslTMh9JR048j165da2lpaW5uHh8fVxbaaMoRiz70nZcf0/PUMenDMbl4bDmzgCmPrH5+9+7du3fvfmT18/p3neeHDPb58ra3Hr1r16C053e9te8iIRePLY/9heTfemvfRULIX/5TOsDjuwqFpUruemn5tquEXN234sN8bfYO389YahqJbz35o5379gwNDZ05c+azzz4bHR397LPPzpw5MzQ0tHPfnm89+SOh/FBeg5Q4saN9vpLFIYSQ82tZPsROBZkuFF5LtUt8ReP6kOVuWbBLZHaeI1ULqanc+ZKF7P7AJqm3nGhj74zgHvJ9iNC5cH2+nBGsLpRK4VCJHGYPXNgcnYLKF01H5QWMvplwJU4b7nXX8CFv80Mu+JB+FU6F9GcOfdqGvwP6dR1uWmR1s/tA0IeUTw/Ux4jCS9WNKHBz5WN4eHh4eJheYtaULuSH7nrpUT1zJG8gl7e99UtmARHe+N36N363nvmW6fwh0/nU+jqfyBvML+fs/BMh5OKHy6SjuPjhsjkvLtumDMVX9z3x4i/nvPg23SQXP1wW+zN1Hez85V0vPUovIX9+2/Z58CHiTSNxx7NVtSte6O/vP3HixNDQ0MmTJ4eGhk6cONHf31+74oU7nq0S8SGmsvDn9xTFh1j5IcGZRnbzQ2Y+xMoPmXWeBpJEP25T58u5+SGbPqR7T9yHqIQNQ1BYPbDmayp0pikSjerLG+WHuD7kbncNHyrFfGrOY2Cjy5qafJOfP8S8uzQfUJSnYOp7WPWu2fwhInr3agrohnbWphmrqw9Wm/7lft/e1Ie0T6+lpfLnlUiEUiPpE8wF6tG4ZkXTMPq+PX10zucP/cfyX+iZvWxdmhDy53XMdwWpbnquuuk55lvOf4/RyY4Bq03z7yt/ccfD9727a/txdby7a/sdD9/37yt/IZQfUk0VIvoMjTSnx1Sh9HkmYR8qrCLpjnr+kLYqq/OprXbLmgdVciXCnadqPiXR937q/tlk/pDRwMH6vn0h1aLP1ihd3xjRB7sLpecPyd/qMu+B6U2oJcZ0/pCxD7ndXcOH8HuMTpFu0Zudq4pRuYOfFyv1Vx5K83uMsxoe1hM5epkQ0rv9Iea7zjn20TGHPlSkHQNGTXPHbx64Y/69jW+0HO7p7u/vP9zT3fhGyx3z773jNw8YtpRvvl/mFvg9RoRR4PcY4UNFQfIhfWrKFZSfn4+qPwcIJElL50Ml+3sdR4723Pfy46Gl1aVk8Rsvbv39Dic+5MluBwF+03x7WfW/PnL3N+8P/Y8f/O9v3h/610fu/vayal5LwYfKH7t/ryNtvYMtcbi2h/h7HfAhUB7wfahtx8ZV77Tf+dufl4xF7csP9Rx55LVfO/Gh0u92EHClaeBDACjAh+BDwEfwfejelkWdXft6SxXHPjr2zt7tv2j9TfgV7RRpS5R4t4MQbjUNfAgABfgQfAj4CL4PAVBE4EMg2MCH4EPAR8CHgGfAh0CwgQ/Bh4CPgA8Bb6g4GYIPAavAh+BDwEdofKhhDfcLQQC4QiXKEHwIWAU+BB8CPkLvQw1rqsNPfB+A4uG5uMCHgB+AD8GHgI9g+hAAwCqQIWAV+BB8CPgLzwcSAModyBCwAXwIPgR8x89qvwEAsI3ntzAoO4IgQyXyodbmFZ43JwAAAACsEhAZKp0PtTavaJ011whrDQMAAACA0uC1plSgD51dusCIVjElap01l1MJAAAAEDQ814iKoUQ+JE0hMkLch/j1AAAAAEHDc5OoDPwyn9pUiQSdCQAAAAganstEBeAXH+oxmxvk+dUGAAAA+JNATfSpfB/iPyL1/GoDFcDSdV0A+BzPbxNQjsCHKsqHACgq85d3AVAWeH6zgLIDPgQfAkAIaZiZ9/yGysPzfIYIOD9WT47ntwwoL+BD8CEAhKhUH/I8kyEOzo+lkzP7gYTndw0oI+BD8CEAhKhIH6rIg8L5kYAPAUvAh+BDwaX7p4u2Prv01WgsXtHR1Bjb8lz94QcXOzxdZT00GlF2BzX7gQTOj+DJCZoPBaRDcx5GXSJ8CD4UXLY+u7Spqamvr296eppUaORyuUwm09LSsuW5eoenq7yGRkHK7qDgQ+InJ2g+FIQOzXlwukT4EHwouLwajfX19Xl9e5YiMplMU2PM4ekqr6FRkLI7KPiQ+MkJmg8Fp0NzHswuET5Urj7UXXfgZr5lh0aqFtq+hbqrNk04rqRMicfjAfkglcvl4vG4w9NVXkOjIJqDGiCEkNG2uvX8tarqjgiWLPaQP+/5DVWrB7P5dnZ/f9xtdP55c35WTX3ISbcp2E962KOqO7R0NBRNO+o2xpKRSHLM3ZJ+CWaXCB8qSx/qrlo1miWEXBmts3PL0Xcs8+6tJEniHEs8HufeMuloyJWb3GrH5LwjY4T+5rfayraHRs44pywvnmFUrR7MTgzWSf/qKvenD1XV7eqcYNevGfLlkjc6VxdlTzzxodeX2NQmvg857DZL40NOVld3aEo3wunH+F1NaXzISTc7loyEwuFwOBwOWa8EPlQxPuTaLVdJ6mOjf7F3F1oMX/iQ8563GD5kqYw96g7fIKeO1B2+kT28y3S894MPyZWz69f5UHHNzIf5IQc+5Kiv839+SN2hiXQjfvAhJ5GOKrtvXav0Zw8+VJY+NKFq1qFTP9lILVFZzmjnFWmh7sZWYvRvhBAyNJHvg6+M1qkkqbttiN6W5ibXvyuvSy+RPpYx6qc32lP4AKdaaNjvMDZttKFCMSs+pHQWY8lIJCJ/EJFvusJHk3A4LPcqVP8idxHpqPwJJpK8oF6LvpeVeujyY4SQdFRbPr87oRCrL0ulUvQ3KVKplLTcoH8vnBn9VcT3IWrYlkJK80jpCiludK5ery9Gj1jqfEChzOtLdhrUMzpwKr80e3hXm/x6IMkZX7U7yRnv1ZvIJ12MD0rZ8xtZuYC0J5xVOg/fYO6JvSFffYAT59WbUJ9YVR5O8DRyG52usFCb/kj17SueH6pKjtIr6qsS9yE3uk2lyyITbewuy7hzU/VFNztX5Xuw7IF+qu8af32j7sOq6B4a+BDdj6myKdquRhvMLk5arO8MTXrIwh7I9cgCQ/WZFvs67c4a+JB4lwgfKksfUid4Ckng/NPx7IGPVbe69rZh5YfIRJt+daXLMPyso3lXuaulzqJHnaPW7556oyv1JfuNP2MZbFq7uoP8kKofKdyflCTJ95+ylOFDhh/ClALaTzbqSkK6T0CqhdrI5XKJREK68xOJxNTUlLScIZRmV5Hm5GuGRmm8H0jScrBTeXaTn9QyMVjHfRbGfF5GPwNS6lkiD4TUFlVbNx5iR9vy/zIKsHyIDCTp7TIOSt6Zgg+p3+WsooQ7PqQ+b5pN/PeA49No1OiMfc5PY9Iri7Qbgo1F18B+cOZKfshGtynYZTE7N/pWkucwDZ3Kr04m2uSPnQOblJ08xa2cuYd8H2IJg3h+SO50VJ2PUoDZQzJr0lua/MJ6X6c+EMPskHiXCB+qAB9ivOZ7jKXVR+i+bWCTpirNu3r50GVotPXrNqoqyck5G2xau7pLPqTcbMyFylJzH1I+kykfy3T9lOoDE90bcDo2Oq5du9bS0tLc3Dw+Pq4stHEZjHB9SK8yuoFQW0DYhxj1qHIGjMLaykWSQwY+ZH5QzAFbcBWRB1vOfCi/FvMtq6fR9HkiNZubfaQiWzHyoba69UruihBCTh1xz4csd5uCXRazcxupWkhN5c6XLGTfBzZJvdlEG3tnBPeQ70NEnYdWl2EGq4ujUjhUIofZQzL6ukLRdFRewOg7iXBfly9q5kyCXSJ8qAJ8iPNBxwUf0q/CqZD+TKNP2/B3QL+uw02LrG52nwn6kPLphPqYUnhp4DdO8kNmfcTw8PDw8DC9xOwysJcf0jw82smc2+skP2Q68POHWGnaUNspwpw8JOZDjINi6wUrPyRyEormQ5w0m00f0hyXqXJpd8PufGrBFncpP2TmQ6z8kFnnZiBJ9OM2dT6bmx+y6UO698R9iN/5sHpIZl+Xfx2N6svb6usEXCgfIl0ifKjsfahHm4MRmiVNTb7Jzx9i3r2aD0DKUzB1H6F612z+EBHtHTQFdMMza9OM1dUHq00v//OrW6x7RwpTH2LMBBpLRuTPQ5EIpUbM+UMhdQHlc5tSfowYPVO3NnPw9vSM2WVgff6QLjGgmz9ECoNiYRYIY/6Qvox6/hCxkdiQR+Ibnaulf9kWYupDzIPS5Yd0x2u8ivBkbVWFNnyIWZVVrTSfP6Sa38M+UualIuJDmtOrPKczupwszae22m1qHlTJlQh3bqr5jkTfO6n7T5P5Q0YdO9WhMZ6XGfU8IvOHCtZBzR+Sv9Vl3kPSm1BLjOn8IeO+jtoT7U6aBbNLhA+VpQ8FCqkLuNm5qhiVj+3+QPQGYtyLZfOTG5dS3c7PldFXjeipQqaZD7/h8PtTpf8hIvweo/jJCdrvMTrr0IIVzC4RPgQf8juSD+lTU65w9MGasd0f/POrW1H15wyBJGx5+NDt6ZlLqe5jD//K+bnipgqK9fs3Ph/vbfsQa3qTUD2V4UO2D9/SyQmgDykdmsV+Im29AyxxuLaHnC4RPgQfAkCI8koVeDveF4kSy1B5nR/9yQmgDwEnwIfgQwAIUUZDY0VSehkqI5gnBz4ELAEfgg8BIEQF+9DsBxL+B+fH6smBDwFLwIfgQwAIUcE+BCoPyBCwCnwIPgSAKJ4PcgCIABkCNoAPwYcAsIDnT0YAMMXz2wSUHZChsvGh1uYVnl8uAAAAQOUBGSozH2ptXtE6a64R1hoeAAAAABJea0TFUDofOrt0gRGtYkrUOmsupxIAAChrPB8PAAgyJfIhaQqREeI+xK8HAADKGs+HBAACi1/mU5sqkaAzAQBAWeP5qABAMPGLD/WYzQ3yvJMCAIASgBkhAHiCj3yI/2Td807KNt0/XbT12aWvRmNxhBxNjbEtz9UffnCx562Ddvc8gnAxWAI+BIAn+MiHKpWtzy5tamrq6+ubnp52+a8ml2fkcrlMJtPS0rLluXrPWwft7m0E5GKwBHwIAE+ADxWdV6Oxvr4+r8cd30Umk2lqjHneOmh3P0TFXwyWgA8B4AnwoaITj8eNMwTpaCia5o0UY8lIJDnm/gjkeeRyuXg8bvusThBCyNBI1UJ+se6qTYIli9zupg1tGuJXQvldM0YXQ3fdgZv5Io5a0MPLwAbwIQA8wQMf4vRN5dVtCe55PB43HgiUYTIdDTHHMJ+Mbc6Hc0boh0Dx1i+NDzlZXd3upg1tepJL40Oc3RPZbigcDofD4ZD1SvQXQ3fVqtEsIeTKaJ3TtmO2o297G/gQAJ7gLx8qXxz7EGeMCZAPiVMW+SGLJ9APPuQk0lFl961rFcuHXHPZ8upz4EMAeIIHPjSh6gZH/0YIIUOjnVfo/1JdmBKchdLnSCmujNYVuj+52iF1R6kr3zZECCHZA/1UbRNtvJonBvQLC3tlPC6SdFT+DB1Nq9MG+cFEXYAa28aSkVDIcMRMR8NyyEXGkpFIRP7Ibjw8FT7WU+uqdqPwWqpFv638ptj7l0ql6O8TpVIpablRfujUTzbqTzKzpFyATLQtZLcsq72owTIfNztXMa+B8dc36sZUKVSjLPMyM84PSS+02RTtSeY2U+E0jyUjIU0TM9ud0cpjyYhSjywwlJNZbGXtzhpccBYvhsIJl6+K/H9Nzz+zn2HdtkMjVXIPQFWu6jF077IuBvFrT1sSPgSAH/A4P6QziXy3deonKykp2TRhvvDKaN3C/GyD7IGPVV2ntqNkladqlvq+gU10ul5f80RbYWE/9wOoalzUfm7WDZPaAvLAwv/ATY9shaLUUlUB41CGMcP9NNgWt/5cLpdIJKTxL5FITE1NScvNfEh7kvWjHV3gY+6VYFSVPENFfXUVrgH7lxnfh1jCIJ4fkk+36rQrBczavVCT3tLkF9ZbWX0ghher+MWg7ih4N6McQ8arb2JdMBs1/m2UPdK8S39kUi8xv/aYV6nm2oYPAeAJPvGhfF9DDT/6z+X8hapuKXlfgQAAIABJREFUkd/B6csXPiAObBoZkLswrasZ7gM/IU+Pi7pR0HSYzH+sN/lErh5JqTFNqYw31iqZCSU5YbyfBtsye0Rz7dq1lpaW5ubm8fFxZaFpfohzYm1cCar2KkzUzZfkXgPmF6T+MjPLD2kSgbozqw3VKc4XpVI4VCKH3e76Vi4UTUflBZSXW2/lfFEzZxK8GIzuL8Hzb2n1kQFq/wY2aarSvKu/JsX7CuZVOgIfAsAH+NaHqE9RwguZm9B3lMxJmqoktuqhiWHNNnzIUX6IkyAyzA8J+BD9jpP8kNlIOTw8PDw8TC9xx4dYn7z57WUstfprQCQ/ZNOHdO+J+xD/tLPandnK+dfRqL68rVYWcKF8iFwMwvkhF3xIpN/g9DnifQWzv9IAHwLAE7z5vj31PL4wYUjbgzA/wTMXqp7Hs3s6Q/Whty7vlS4Nzq5ZK3OFgxrSbPGfX91SqnA6f8j4y0nM+UMC+SH1xBQqUUBnL6T/cucPWZs/e3t6Rt80Fn1ICeX6EW0v9YwQYnQNGD/bFZqlS7U7IxFodM5F5g8V2pKaPxTieTC7lYlWYkznD/Ef2hY2odpJs2BeDAYflqQQOv/MfkbvQ5qcjXL7My829YVB74zwtWfQ/8CHAPCWMvj9Id60D92jd38ytvsD0ZEhMHEp1e15u6DdfRJBuBjEgQ8B4An+9SH1JzDm14Js/jBJ6Tn6YM3Y7g/oLJGDSEfVn8JFH1E4Xde1uD09cynVfezhX3neLn5td180Ezdc28PgXAziwIcA8AT/+hAAAAQNyBAAXlEKH2ptXuF5LwMAAD4HMgSAh5TIh1qbV7TOmmuEtf4CAAAqEq/HAwCCTOl86CXjaBVTotZZczmVICo+PL9bAAAAVCol8qEmboj7EL8eRMWH5zcMAACAiqQUPiSNZLXcMFWi1llz+TUgAhKe3zMAAAAqD7/4UG1tLf/JegkGWkRZRHV1tee3DQAAgArDRz7EnztSgoFWJOrr62OxWBxR/IjFYg0NDU8//bSmCeBDAAAAXMdHPuT/qK+vb2pq6uvrm56edvn37RDqyOVymUympaWloaFB0wrwIQAAAK4DH7IQsVisr6/Pa1UIUGQymVgspmkF+BAAAADXgQ9ZiHg8XvzMEP+PnBM7fzrV7kruh8XdyOVy8Xhc0wrwIQAAAK4DH6qtra2tqdlykhBCTm6pqeEUi8fjxRKFQtB/CJ3pDgHyIUIIfAgAAEAJgA/V1vrUh4wCPgQfAgAA4DIe+JAsH1Kc3FJTY7zk5En5jfGuRqXQyS3mBWpra2tqGrvGlWrHuxr1a9ELCzuwefFmph7RPjSWjCjeUsjkpKPKX/ym3pRfGthAOpr/U+GhaFqdH8qvqC5A1TKWjITkvyw+lozIf3K8sBFqf9jJJsYOjyUjkUhEV5XhDo8lIyFtJfk65J0z3Q1CUqkU/eWyVColLYcPAQAAKAEe+JDkKJKyUNYy3tVYeBnNGwmtPioN2mxewKxa6n1NfsgoXaTOD+nEhVakgiOZ+ZD2sZiuWm0BuRZ6uWrTcgF6IXPT7B2mlqoKGO2wukJdHea7QQghJJfLJRIJSYYSicTU1JS0HD4EAACgBHjgQxrVoOVDpzuqhbYK0GG+lqXnZWPJiJTQUZJDtDxQOsOzAd0yrQ/pCuTzMSH1xsLqUGWaDDZtsMN0UcbDO31NSrqokP4xqoP7vOzatWstLS3Nzc3j44W0HnwIAABACfAqPzTe1SiSH3LiQ42aDRm5l96HxPJD0ugejaqeXjHzQ3IBZmbFSX4oRG2amf6hE0gW8kM8H9LuD1N3jDZtNn9oeHh4eHiYXgIfAgAAUAL8Pn/Itg9tqalRzx/irVVbW0vtguH8odra2lu3bmncQCUMjOk4ZCwZkXMnkaLMHyo8opKLycKibNrq/CGeD3HnDzGcSmQ3DGJmZkafpYMPAQAAcB18v8xaHDx4kBqvffKtrYqNnp4efRPAhwAAALgOfMhaPPPMMwcPHpSyRMzZxghXYmZmpqenp66uTt8E8CEAAACuAx9ClFNAhgAAABSDUvhQa/MKr4dRRCUEZAgAAECRKJEPtTavqDYOSyMiIrDh+d0CAACgUimdD53e8AMjqsWUqLq6mlMJAAAAJ3g+IAHgISXyIakSI8R9iF8PAAAAJ3g+JgHgFaXwIX4NEqZKVF1dza8BAACAczwflgDwBL/40Ik1d/HnjnjeRwAAQBDYUDvX85EJgNLjIx/iP9h2cns3dMwDAIAAAh8CQBAf+VCRaOiYBQAAAWWN5eQ6fAgEkwr3oYaOeQ1rqv3D2aULAACg2NDdzs9qvwEfAsCUSvYhv8nQ8fkLAACgNNhWIvgQCCYV60P+lKGeeYsAAKA02FMi+BAIJpXpQzoZemhly5LYK41xRxFbufr5Ze0Pw4d8RfdPF219dumr0ZizxvUymhpjW56rP/zgYs9Ppt+ogMYtTRhdQq2z5tpQIvgQCCYV6EP6zNDKliVNTU19fX3T09P2/tx6LpfLZDItLS0rVz8PH/IVW59d6rBxvQ3l0tryXL3nJ9NvlHvjliY4l5DGhwSVCD4Egkml+RDzMVnslca+vj7n/U4mk4nHY/AhX/FqNOZK43obmUymqTHm+cn0G5XRuKUJ5iWk9yERJYIPgWDisQ9lOrZN5m/ndJFkqGFNdTwed+XzZS6Xi8fjbvlQd92Bm/mKh0aqFtoeM7qrNk04rqR8catxvQ3p0mI0rksXCRPBy8bDC0zduOloKJp2dJrHkpFIcszdkn4J5iXE9CFTJYIPgWDigQ9dJ4SQ9F/b52TaH798nRBy6XLHnOLJkORD+u4jHbXT37nlQ91Vq0azhJAro3V2xhh6iGIOVxUmSZzDYTaurbA33DLWsn1p6Y7a0UViSml8yMnq6sZVTnU6GjI6w/xGLI0PcXZPZLuhcDgcDodD1isR9yG+EsGHQDDxMj+UaY8rblQ8GWL4UDpqr7shbvqQa2NMhamP1THVXz7k7NJy0SREKIv8kMUG8oMPOYl0VNl961plyYc4SgQfAsHEs/zQ+bbYdXVHYF+GzFyENWSa9HepVIr++kYqlVJ6HE3l9e1rTzMqOLGjfT7HhyZUhYdO/WQjtURlOaOdV6SFupFMidG/EULI0MSA9N8ro3UqSepuG6K3pRnV9O/K69JLpEQFo356oz2FlIZqodlAK7itQjFrPpSOhuWQxxpq1JQvhHRU/lweSV6gPqaHw2G5rMlaY0T9nkFwLi2WryiRb2XleuBcM3KjkJudq0bk1xNt2rbQFJYKWGlrVbvc7FyVv5ayB/qpdhx/faPO3Rn7zLzOjfND0gttNoXVHHQwm1VanF8urzeWjEQiEf3CwuqFPaCuKvmiKCzSXnv5ikMhU7czvo7ELyG+D0nAhwCQ8PZ5mTv5IemDDv+et9DZEEIIyeVyiURC6m4SicTU1JS03F5yiJ8foh+L5OeLZA98rBrtiGacYOWHyESbfnVl1DT8cK95VxnGlOGTv3vqja7Ul+w3TiooG1IO55RBDfbzQ/R4VfjEzTAbdWqBvjyUKkzX0q/LCKNLi58f0knhXyb4jUJfFQZnT7AFmW1NN6s8yUlpPjLRJlv4wCZ+4/Kvc74PsU60eH5IblbVFaIUoJaqCuhr0lua/IJ57TFrYwQvOyR+CSE/BIA4leBDIkrE7RnZce3atZaWlubm5vHxcWVhcXyI8ZrvMZZWVzIEhBAysElTleZd/dipG4m19es2qirJecgiXoN9H9I+zhI0G9XlIbwWY11mMC8tMR/KnwHTRhd5oip4/g2rLcz1zpcsJCMHNknXlVp2OdcM+zoxyw9RCSF9Do8RrGalUjhUIocuydgcnYLKFy3MGmNcL4QrcdpIR02zR4KXEOYPASBOhfiQqRLxe0ajGB4eHh4eppfoa7b3vEw4P+SCD+lX4VRIf4jX54f4O6Bfl7/pwlHbrUGC14SG+SFq8DLxIfG19Osahv7SEm/lHpOknXUfYuWHzNraaFvU4zZ1bo+bHzL0ZuoMMXxI9564D1EJG0ZzsXyIk0CMRKP68kb5Ie7VIeBC+RC5hPD9MgDEqRwf4ivRrZkpusthzCEQiFxuphj5IV0ORmiWNDXvJz+zhDlcaT7xG0wiUb1rNn+IiA6HmgK6Z2fsBAOrBvXxDmkO4Z9f3eI1G2P+EBlLRuRP+ZEIJTnM+UOCa40R+5fW7ekZSz5kes0I+5DuPIu3tWrmGdG3lPpyMpk/ZHSdU43LeF6mz9aomkMb7Gal5w/Jc+GZ+SH19CNqE2qJMZ0/ZOxD1J5od9IsmJcQfn8IAHEq7vcYDZTo2B9/L9qvGMfxoQNu+VCgkMa8m52rDAsITDbiMLb7A+eNq45Sf73oUqrb82byJ0Vo3MoM5iWE36cGQJxK8yEjJVr+5iPH/vh7VZbISuRyM8eHDqxcF4EP2UDyIX1qSp0tsP8rO0cfrBnb/cE/v7oVVX+2Fn3wwIjS+dDt6ZlLqe5jD//K82byJ0rjWjyvafcuhiKFa3vIuYTw98sAEKcCfejEmrtMv25WeoLsQwCA0mMvOQQfAoGlMn3In0rkef8IAAgItmUIPgQCS8X6kD+VqHXWXAAAKDa2ZQg+BAJLJfuQP5UIAABKiSUZgg+BwFLhPgQlAgAEGasyBB8CgaXyfUhSIgAACCCQIQAECYQPAQAAMAUyBIKMX3xoQ+1cDpbuZwAAADbwfEACwEN84UPSffiScWwQU6INtXM5lSA8DM8vdAAAAICD9z4kyVATN8R9iF8PwsPw/FoHAAAAjPCFD0njZS03TJVoQ+1cfg0Iz8Pzyx0AAABgUjY+VFtby3/yXYLhHOEwqqurPb/iAQAAAD3l5EP8GSolGM5For6+PhaLxYMdsVisoaHh6aef1pwc+BAAAAB/Uk4+5P+or69vamrq6+ubnp52+Y9hl0/kcrlMJtPS0tLQ0KA5P/AhAAAA/gQ+5GbEYrG+vj6vhcQXkclkYrGY5vzAhwAAAPgT+JCbEY/HS5oZGktGIskxoaLpaCiaLu7eqCKXy8Xjcc35gQ8BAADwJ/Ahoaip2XKSEEJObqmp4RSLx+NqBRG1FZthx4cs7tVYMhIKhcPhcDhsVajgQwAAAMoF+JBQ2PKh4kdp80NWq4APAQAAKBf86EOyfEhxcktNjfGSkyflN8a7GpVCJ7eYF6itra2paewaV6od72rUr0UvLOzA5sWbmXqkyw9J/jCWjMgpFlZuJh2lEzCFwuFwOO8fY8lIJBIJhUJShemoUoBVH6sGVX5I3gz1Xr4aKhukq9hQvlKpFP3lslQqJS2HDwEAACgX/OhDkqNIykJZy3hXY+FlNG8ktPqoNGizeQGzaqn3Nfkho3QR04dMkjic51fKmrS8aF7z80OFAlofYryga9ZUPZaMhAyTQ7lcLpFISDKUSCSmpqak5fAhAAAA5YIffUijGrR86HRHtdBWATrM17I4fyivEOoMkIGxUKtp0z90IfqplYEPMWpgaJC8djqqFAmrQ1i7yLVr11paWpqbm8fHCwk3+BAAAIBywY8+pKRlBPJDTnyoUbMhI/fS+5Cl/BAxXUTLBlN3aCExes2vgeVDZCwZiUSjShUWZiMxYnh4eHh4mF4CHwIAAFAu+NGHLM0fsu1DW2pq1POHeGvV1tZSu2A4f6i2tvbWrVtyscLzMu50H978IUZ+yLxCVg1MHyIkHVU/BqO/TRaitcvyZOyZmRl9/gw+BAAAwJ/40YfKOg4ePGhNHCo0enp69CcHPgQAAMCfwIdcjmeeeebgwYNUlihwMTMz09PTU1dXpz858CEAAAD+BD6EKFFAhgAAAPgWX/hQa/MKrwdrRHEDMgQAAMDP+MWHWptXVBuHpXEX4cPw/EIHAAAAOPjIhz5svceIajElqq6u5lQCAAAAAM/Nw5/4xYekSowQ9yF+PQAAAADwXD58iC98iF+DhKkSVVdX82sAAAAAgITn/uE3ysaHuhrD/Bkqnl9bAAAAQLnQumCO5wriK8rJh/gPRIt0xTR0zAMAAAA8Bz4EH/KMho5ZAAAAgC9Y4+aTEPgQfEhchuY1rKkuMWeXLgAAAABEgA/BhypTho7PXwAAAACIAx+CD1WmDPXMWwQAAACIAx+CD1WODMGHAAAA2KN11lz4EHyoQmQIPgQAAMAe8CH4UOXIEHwIAACAPeBD8KHKkSH4EAAAAHvAh+BDlSNDRfKhpeu6APA5no8lAJQ78CH4UOXIUDF8aP7yLgDKAs+HEwDKmtZZc39W+w34EHyoEmTIdR+Shpl5z28AoCzwfEQBoHxpnTW3YU21VSWCD8GH/ChD8CFxPH++IwLOj9WTM/uBhOeDCgBliuRDVpUIPgQf8qMMwYcE8fzJjjg4P5ZODnwIANsoPmRJieBD8CE/yhB8SHyw93w3fEtZn59S+lD3TxdtfXbpq9FY3B/R1Bjb8lz94QcXez6s+g2/tZTnYXSp0D4krkTwIfgQW4aWv/nIsT/+/tbMFLEVudzM8aEDK9dF4EPFo+wOavYDCZwfwZNT4vzQ0QdrxnZ/8M+vbtm7312M29Mzl1Ldxx7+lefy4U/801KeB+dS0fiQoBLBh8rMhw4kOv6Rvxh6i5oZOvbH3zu/Xo8PHYAPFY+yOyj4kPjJKbEPje3+wPn97mJcSnV7bh7+xG8t5XkwLxW9D4koEXyoDHzoCiGE9A5FQweij53/ghBy8XwiVFQZalhTbTszREcuN+OiD3XXHbiZr3hopGqhpU6kvIZGQTQHNUAIIaNtdev5a1XVHREsWewhf97zG6pWD2bzber+/rjb6Pzz5vyseutD1vMN6WgomnbeRxjE7ekZ5n466QRMmRCrtrtqk2BJf7QUK8aSkUhyTGyp+PqeBPNSYfqQqRLBh8rAhwrJoWhUcaOiylDDmmrVFTeWjIRC4XA4FLJ8D7jlQ91Vq0azhJAro3V2+iDbQyNnnFOWF88wqlYPZicG66R/dZX704eq6nZ1TrDr1wz5cskbnauLsiee+NDrS2xqU7F9iD+KWx6FCj6UjlrvFkSCdQiOOgFTSuNDDld35+R66UPuXzD6s2TkQ3wlgg+VgQ9JDjS4atUV1TXg6HmZ6QRqakPUpW/9LtDXXN++9jSj4Ikd7fO5PuSoEymGD1kqY4+6wzfIqSN1h29kD+8yHe/94ENy5ez6dT5UXDPzYX6oEn2oWOG6SZhSFvkhd05uBeWHiEUf4igRfKhsfGgoGnIrPySSnilca6or3/A2SKVS9LT/VColLXcrPzSh2trQqZ9spJYMjVQtVDqp0U7JG4c4PkQN21JIaR4pXSHFjc7V6/XF6BFLnQ8olHl9yU6DekYHTuWXZg/vapNfDyQ546t2JznjvXoT+aSL8UEpe34jKxeQ9oSzSufhG8w9sTfkqw9w4rx6E+oTq8rDCZ5GbqPTFRZq0x+pvn3F80NVyVF6RX1Vzn1IvuyVkO4FKY8ixZXRuoX6YlZG2bFkJBSWQ5YgOj8UTUuFqPfy3YScWg6Hw0bjp1HXYeArhbP3N0Lo+53TJ0zI5/1m56oR+fVEm9ZmNIWlAsYnUymZz1dpTvLNzlXdbUOEEJI90E81yvjrGxWdUq9i3o9pWiodzZ9bpQW0zTSWjEQikVAoJLVNOqoUYOVoVDUUdJfRiPl6dQu1O8C6KiiTpvaHvcPqEL9U+D4kAR+CD+V96Ge133DXh3K5XCKRkC7TRCIxNZWffuTe87JNVCdSSJvn5xNkD3ys6g0J34ek8X4gScvBTuXZTX5Sy8RgHfdZGPN5Gf0MSKlniTwQUltUbd14iB1ty//LKMDyITKQpLfLOCh5Zwo+pH6Xs4oS7viQ+rxpNvHfA45Po1GjM/Y5P41JryzSbgg2Fl0D+8GZ6/khaYidaCuMo6d+slJ/d/RTA62j/FChA9D6EOMFPRha7zr4iRmd4f1lwrhPoM6P6lxpTkWhQKEGxslUVUud4cJ+5ic5KW1BJtoW5t1oYBO/pfj9mKqlOM+dlJNNN4HmtUl+SC7NbkRqqaqAvibBy0M+GGZtcohfKsgPwYfcVCL2PcJNk167dq2lpaW5uXl8fFxZWIznZczX8qdDdndv9GhJN4zRYTI3yMCHGPWocgaMwtrKRZJDBj5kflDMAVtwFZEHW858KL8W8y2rp9H0eSI1m5t9pCJbMfKhtrr1Su6KEEJOHSmGDxnfCHRo7xqrPqTkIai8gn6ck3uHdFQpElaH0UDH7DrEfCh/OKZ9AmddqyfTsNrCXG/qtMsaJOWl1ObKqIffj9Etpe+LGc1EF6KfcAo8L8sXZzciu17WdaK7KpTy6ieuhTQj90Gc4KWC+UPwITeViH2TmF2sw8PDw8PD9JKS54eEfKiQAmHlhwRHd9P8kOnAzx9ipWlDbacIc/KQmA8xDoqtF6z8kMhJKJoPcdJsNn1Ic1ymyqXdDbvzqQVbnO9DRkN44UZgZR1EajD3IfY4yvAhMpaMRKJRW9MN9V2HRR8y6ROs+RArP8TfDWP3oh63qRN13PyQuQ9p80PMZtJkfJivC6GxHDlhY15S5zfabVFXhWl+yOyaEblU8P2yivWh4sFRItX37e1+v8zF79sbfByUwvzjr3YqiS4xoJs/RAqDYmEWCGP+kL6Mev4QsZHYkEfiG52rpX/ZFmLqQ8yD0uWHdMdrvIrwZG1VhTZ8iFmVVa00nz+kmt/DPlLmpSLiQ5rTqzynM7qchHxI/VymR/X9cyn084dI4a6RchWE6J/CcL/FrZ5WwvEhQtJR9cQPauqJpd6D+SVqvtPw+wRhH9KdNN3JNFSfwulV1yAvlyckGT31M+/HNC3FmT/EyA8RMpaMiM8fKjQjoxGZ+SHmdZIvob5G+POHrE3UFv++PX5/CD5kU4kC8nuM9FQh08yH33D4/anS/xARfo9R/OQwfehm5yqjK5w5kUUcv/3KH36PsVxayvMQ/D1G/D41fMi+ElX23+tQpwqK9fs3Ph/vbfsQa3qTUD2V4UO2D9/SyWH6kP4rUeoEg/0f5lH+CkQ0VPiIHw6HmV/zKWrg73UItlRpm8WPIf73OvD3y+BDLmSJPAR/r8Or8b54VIYPlebk4O/bA2Ab/H17+FBFKRF8yJTyOqgSy1B5nR/9yYEPAWAbxYfEZQg+BB/yrxLBhyqJ0stQGcE8OfAhAGwj+ZAlGYIPwYf8q0TwIfHR1P/g/Fg6OZAhAJzQOmuuVRmCD8GH/KtE7vpQz7xFnosLACJAhgBwCHwIPuQaFelDPfMWeZ4JAMAUz8cSAMqd1llzbQx88CH4kE+VqBg+BAAAoOKBD8GHKkqJ4EMAAABsAB+CD1WUEsGHAAAA2AA+BB+qKCWCDwEAALCKPRmCD8GHfK1Ent9XAAAAygjbMgQfgg/5XYlaZ80FAAAARHAyzMGH4EN+VyIAAACAiY3fGYIPwYegRAAAACoHF2UIPgQfsqNEAAAAgOdAhuBDAAAAAHAHyFB5+1DrgjkcrF0HAAAAQGDx2jz8SXn4kNR+LxlHq5gStS6Yw6kEUV7h+c0DAACgYigDH5JkqIkb4j7ErwdRXuH5/QMAAKAyKA8fkga/Wm6YKlHrgjn8GhDlGJ7fQgAAACqAyvGh2tpa/hPTEozNiNJHdXW153cRAACAcqeifIg/3aQEY7NI1NfXx2KxOMJixGKxhoaGp59+WnM+4UMAAACcU1E+5P+or69vamrq6+ubnp4mCOHI5XKZTKalpaWhoUFzSuFDAAAAnAMfKmnEYrG+vj6v7aJcI5PJxGIxzSmFDwEAAHAOfKikEY/HS5oZGktGIsmx0m2PG453JpfLxeNxzSmFDwEAAHAOfMidqKnZcpIQQk5uqanhFIvH49T4no6Gimwr/vShsWQkFAqHw+FwOBRNW6oDPgQAAKAYwIfcCVs+VPzwpw9RkY5aMyL4EAAAgGJQlj4ky4cUJ7fU1BgvOXlSfmO8q1EpdHKLeYHa2tqamsaucaXa8a5G/Vr0wsIObF68malHuvyQJANjyYicL2FljNJROptSKBwOh/MyMZaMRCKRUCgkVZiOKgWYGSh1haryhR2SPaWQxaLyOoUl9Hb1BUx2xtDXUqkU/eWyVColLYcPAQAAKAZl6UOSo0jKQlnLeFdj4WU0byS0+qg0aLN5AbNqqfc1+SGjdBHTh0ySOJynaqonULK/aF7r19VUSJcvvKe4mvxCVUyu12i7RgW02zVMDuVyuUQiIclQIpGYmpqSlsOHAAAAFIOy9CGNatDyodMd1UJbBegwX8vi/KG8D2gTNlTolUYpXMi40IXoR1AsH9IuUz+yonNWkeQYSUfzhak0TyGTpN4uo4Dhzpg/ybt27VpLS0tzc/P4eCFHBx8CAABQDMrSh5S0jEB+yIkPNWo2ZOReeh+ylB8ipotoc2AaBm0XRq+NKmTnh6R1o9EI/V9dVabbMi3AjeHh4eHhYXoJfAgAAEAxKEsfsjR/yLYPbampUc8f4q1VW1tL7YLh/KHa2tpbt27JxQrPy6xM91HNH2LkhyxXyJg/pBRT2Rn9vbCQ/DhM9whMMxHKYGdUFiYYMzMz+pQbfAgAAIBzytKHyjoOHjxozQIQcvT09OjPJ3wIAACAc+BDpY5nnnnm4MGDVJYIYR4zMzM9PT11dXX68wkfAgAA4Bz4EKKMAzIEAADAFcrDh1qbV3g98iJ8F5AhAAAAblE2PtTavKLaOCwNoojKCM9vHgAAABVDOfnQ6Q0/MKJaTImqq6s5lQAAAACg9HguQ+XkQ1IlRoj7EL8eAAAAAJQe+JALNUiYKlF1dTW/BgAAAAB4BXzIHR86seYu/nQTz1saAAAAAEZsqJ0LH3LHh/iPJ4vUfg0d8wAAAIAAAh/yqQ+VnoaOWQAAAEBAWePmsxf4ULn6UEPHvIY11QBUEkvXdQEAgG3gQ4HzIcgQqDzmL+8CAACHwIcC5EOQIVB5SB3ZvOc3AACAQ+CIPZkJAAAgAElEQVRDgfAhyBCoSOBDAAC3mP1AAj5U4T4EGQKVCnwIAOAW8KEK9yHIEKhg4EMAALeAD1WyD0GGQGUDHwIAuAV8qGJ9SJIhz7/HCAAf+FCF4fkVBYApzEsXPlSZPiTJkOffYARABPhQxeD5tQSAIPqrd/YDiZ/VfgM+VFE+RMuQ5/2jV3j+k/DACHZ7wYfKHzQHKGtmP5BoWFNtVYngQ/71oYaOeRgqvP89eMDFqCeCD5U1Fdwcnj/fsf0MCOeH/4BM81+pY7GkRPAhn/qQIkNBHiryg67XU30BH33HZKOSwF7k/qRSm8PzJztOngHh/HBOjpEPNVhRIviQH32IlqEgDxU6H3poZcuS2CuN8cBFbOXq55e1P+y5+jD5We03jHoi+FCZUpHNUZEHhfMjwfEhcSWCD/nOhzQyFOShQuNDK1uWNDU19fX1TU9Pk8BELpfLZDItLS0rVz/vufrAhwJCRTZH2R2UZozH+eGcHL4PCSoRfMhRDZmObZP5YStdJBkK8lChf1527I+/91ROPIvjQwc89x74UHCoyOYou4OCD4mfHFMfElEi+JDlGq4TQkj6r+1zMu2PX75OCLl0uWNO8WQoyEOF3oduzUx5LCYeRS4347n3wIfKi6rVg9n85TPaVrfe0roV2RyagxoQOzNVdUcES7qO3oectKnV8+MQ/nlzflZt+JCpEsGH7NeQaY8rblQ8GSrlUOH8GqVrcF6b3oe0mpCOhsPhaJrvEuloKJIcs60i6WhI2YLDqggZS0ZCoXA4HLJejyvuUt++9jQhhJzY0T7frRUrwIfcvfL9cO9U1e3qnCCE3OhcbacG283B2XMXj85w66sHsxODddK/usr96UNySzHq14zxDtvUFE986PUlNrXJng/xlQg+ZDM/dL4tdl01Wjl6XsaRIc+HChfvAauY+lA6GopGnSqKWdA+5DDGkhF5X6mXglGmPiSvqAltPeXuQ37bB4e1FcOHSnC26w7fIKeO1B2+kT28y/Sg/OBDcuXs+nU+VNyr1If5oWL4EEeJ4ENOnpe5kx+y+tGZuoUIIUS686uSo9Qy7dWjX0W5zgZOSctudK5er3d2+V2SPbyrTX49kFzPrVOJifPyzqjfUn1GpHdAc8Wb+FBeKWizGEtGIpFIKBwOh8NheakiNGNJ+a1wOByKJpPakqoC0jrpaH5JKJK8QLtROvr/t/d2sXEdeaLffQkC5MUB8pSH+xYgQAIEIM0rIxghyAZIsJRlR1ovkKWSADNr7nrN1ozvWtrRXtkttrj8gCll5hpoajye2WndjCGCnpmkF9YOSNmjNYc7Tc2lxqR8Mwv4geDs0DHp1YQXyQ4sU+1F5eF0n65zTlWd6tMfdT5+hR9s6vQ51fV1qn79P9Vk6EzNu0cLrPiHnOr1uvzVsnq97h3XO0orfbr50sXrZy/cvicdC2tHUE3ufX/xpfc6Xv/xezfP+Jd/uvnS9c2PvZ8fvPON0IWDjg+FBoz8ITI6SldWj4QQ/nhr/3P3talbK4d+JoERrhr2nbfLwb0TqlG7VIpM/OYyLI3RJlosLbXDFbYtGWwfuWyx3aRoQ83CGS6koVLKNtRXyi/50X77hHZvai/x2zaZHYbWeOUIkUZ77DiJaUbzPRgZioF7QVMMbd2V8aHQKhbNql8+5IEPpdSHnp18wn6p6Ayp1rPkmJCj8RLRqC21Dh5uTU2Fxqho1Dr3gPRz4I38PEORcGnE3/LDvJH3ChQgFOI2+5AvFMGoS1tYOj/KPuQriPTkS7pIkXv4eVl5PXyJn5Xy3ZV5hv8hp2azWa1WPRmqVquPHrW2TJmCNzd/+KkQQtz7/uI3zOEfOcxz4ZonQx+/d/NMK4ff/PD6Nf/nn/+79qu9xIeS+ZC3wPhTtmZcKR3CT79uWI86q6hGpu6dYG7LhkzayeRDfneYC2ZuSeXzMnPZbNowWOXdxdZ/FSeofCjUiYbW7vhQ8FVTB/lt2xcfUo0Q69Fu0Yzme9B8LwSLYdlZcg7qVYz4UOF8KFaJwtre2VLXudl86xdCiJ01zfDtXGL+wK18NfyzqhjGdSv+4GIXPhQM9qiNx+xDEcuRokFeQGhPd2bwGZpkScr8pSJb+JAQ4uHDh/Pz87OzswcHB/5BvQb56d5b1868JUvBR980+lD0SVZLd/wo0Ye3z0Qv7MqHkj0vC42H2HEVnTqVAQObgZ2Pe0f71nb7NnTdoZfR+JY0lqenbrIJDiWulLlnzZfYPNjqzYcUgz92nFj6kF7ftTW13wOnLGR0FWP/UBF9yKxEsbexctkwz0Q9zulWk77VZ9ykPtSFkVj7kHwsYXzI6EPd7B/a3t7e3t6Wj0QHRsRsOpKh0xddfEihWe7jQ53HQIl8SLH5NHas2qzimbh3rGMwVj7UuVxVMMvVXVPT/nTTqfM3vG1DiztCuXnIzocUlVJ3nCo+ZNMIBjPozYdiujiBDyW6B5ejQ8Xeh2KraRYgm1mI75dl5vcx6pQoHB8KPGSVh1QrRSOc+kt6+IwbybN1S3SOW+2B6MqH/O/bh3Wj9e8e40PBmJO0/8h+/5DRh5J/v0z5ffvgViEhPS9rJT+6o7kqtH9ICHHv++8o9g95+cgXDtqHFAOmm8+m7UzkjR3hS8IrSmfc7ubg3jFGy+LdwiYmHW1ec0vqWju4f8i2DSPr6/LK4dHKnPdftYXYfLA0jBndzhjzMLOToUCGCXwotosT+JAiQ+O9YBgqNj6kW8V0w4nfP5RzH9IpUYa+X9Zf+H2MfuL3McIwidmzqPo2e/rpcYx1FfXpC/w+RvvG4fdT59CHlEqUrWHaR6I+9PVv/P7dn/+oUL+Vsdl8/NP777zy+oRz78GHioMxVDCo338z5Ep1S2IfUm1vssonHz6UuPpdNQ5/vyyfPhRVosIuFfx9+/QTkqHoTGRJYQd5Oslld2SuUvnwoeE0Dn/fPrc+FFKibA3T/uJ8vQcDURk6hQ/lglx2R7YqNWQZylb7RBtH50P2MoQPpdeHZCXK0DAdBM9OPgHpRDdV4UNZh+5wy/BlKEMoG0fpQ892I0P4UKp9yFci5ibICslkCB9KGznujrHT1fRD+3TVOMpwUbcyhA+l3Yd8JXI+iQDEkliG8CEASIbOkPChHPrQvetPPTv5xMXrZ51bOYCZXrYi4UMpxPmIAohFN3QTLLX4UAZ8yFcigLyCDwFAv8CH8uxDKBHkG3wIAPoFPpRzH0KJIMfgQwDQL/Ch/PsQSgR5BR8CgL6QTIbwoez5EEoEecX5NAoAWSexDOFDmfQhlAjyivPvqgBApullYcWHMulDKBEAAECC3zOED+XNh1AiAAAoMn2UIXwo2z7kKREAAEAByY0M4UMAAADgGOcylCsfujF50kBXvQIAAABDw7kM5ceHvNb8u5fP6bhhp0Q3Jk8aMgEAAOgLzpd/CJEHH/Jk6Kdnzhmw9yFzPgAAAH3BuQGATE58yBtb7576ioFYJboxedKcAwAAQB9xLgHgUyAfevfUV8zPL53fGAAAUCgWnkzF1hlYKJoPmZ/mOr8xAACgUOBD6aFYPgQAAJAe8KH0gA8BAAC4AR9KD/gQAGSel1+/DZBylEMXH0oP+BAAZJszX78NkAmioxcfSg/4EABkGG+ZOXX+Rv5wHs+wgfbptnFCAxgfSg/4EABkmLz6kPNIhj20T1eNM3a6Kg9gfCg94EMAkGFy6UO5rBTt44EPpRZ8KA/cefor333h5b8oT1cykmauTL/54oXVZ/7QedPRKUNLA+r0TC+NOjJXqbHTVdrHsnHwodSCD+WB777w8szMzMbGxvHxsUh9ajabm5ub8/Pzb754wXnT0SnDSYPr9GwtjZZkrlL4kH3j4EOpBR/KCXtv/7XrJa+79Pf1O84bjU4ZchpEp2drabQkc5XCh+wbBx9KLfhQTvjis89dL3bdpX86ftxLfQ+FEOL+g/Evm0+7M/6G5Znp7ZS92sREbc/uqP31TpKu0++U3vlt65SueypbS6MloUo1hBBid7G0ZL5qvLRmeeagl/xT52+Mz23tt/q0/+Xpb6eb2633VsWHskI+fciwCrpdIHvBXPLhrWn9S9Fa2HfNcHyox8v700wufWi9PNJnl1I18qu7+0KIT3ZLSRo58dJoWOf844MzjPG5rf3DrZL330jm6fSh8dLyyqE6/9CS3z7zaGVuICVx4kOvTSXUJnwoKxTOh7JLEXzInkzEh/rTTDmKDwm1D/XUR4Pwoa7OSUZp9UjsrJVWj/ZXl2PX+zT4UDtzdf4RHxqsmaUwPoQP5YB8+tBhYAbe/fdCCHF/d+UT+Z8Pxr/cnoj9ZDjofYT10ie7Jf80P9v7wSk+cv7ifSGE2H/nZ1Juh4umnA8b0YOdUumX3vXySHnd+7GzFO7VJiYmJkZGR0dHR0f95XG93DrSumK9PNpO3oG92oSfWSdWsFebGAlm1cp+ZMQ/W0r1el3+nlG9XveO6yxn53e/FW0B5ZntE8Th4pfVza5qTGkNbqXfrryq7KCD177lL9XBS+Qj6jEQ8qFgU+/V2n3hN3W4DaW+UMVoAjl0Wj3aNequVxRA1dfSWIqMjb52eqdh271v286hpVFatr3khXm8cIWXjlbmlqKnyStWMB7QOee1qVuafHYbO62j+6vLi+2fGzXD+houpGG9D75FK+iir5Rf8qP99gleSQyXrKweKUuSbMkPVvDwo+BbBBs2EIezbEZjp8sZdnKL1jTav/bxofHarnxhNCt8KIvk04fkT5wRk2j50M7vviJJyRuH8Qc/2S19ubXRYf+dvw3M2iI0R6vOl3L2lt7GG/KTgmjOh4udgz+TVoW4+JDOh0Y6y1h7xQ0stPJ62HnNz639Q+C09hsEDoZTs9msVqveulitVh89euQdj/OhcAtEF1H5hL81dpMuq/bOlWDXdzoo+RgIdIrhuZPfR3Ibhn6OiQ+1z1Z2jbLr1TlF+lrd6e3K9KnTg3er6Y5oJ5MPeet9oybLwS3/2U1rU8vhVsn4LEz5vEx+BuTnM9VeCKV3DLy7fondXWz9V3GCyodEoya/r6JS7cJ0fCj4quESP/XHh4LtFnqLXzd6bkZdpyvK3NrGFFUWrxiWnSXnoH5wRnwoBxTHh1oaIa1w0Y/+5oOBGVk+M+4jbzvD9ir7oCFEQLm0ORsqkiA+JEWFWqtnYJ2VrpP/1TptvewvmqPBpMornB4+fDg/Pz87O3twcOAfjI0PGWqdoJsCjdnZwNs609hB8aNF+SjHzz3aPH64qBP+UXSR5uLI0dbpyq7R5KsoQLSv/fOVY6NPna4b5JbtrHu0FFnG5BSzN0jjQ4p8AjEDxcnhzG2CQxofiq+UcsG2vMTmwVZvPtS6SvlSt80Y+zxR2s2trqnNu+h8aLG05MeuhBBiZw0fygdF9iHpE7/1QeVbROdo5f7QwNOcwHMZbc5JfUhazvQ+ZBcf8i4tlydCa2YwWexR2d7e3t7elo/0x4dU8SFzY+qNM9pBNvGheB8KN7VSd0IRH+XP6haXAjbxZ0b8JvxeUl/Hxof60enW8SErH+qEQFTxIcvVPTY+FLvwm5dYb9vQ4o5Qbh6y8yFFpdR6oYoP2TTCwHzIEGZL6EOhesUqV7gYSfdTW/Y4PpQV8ulD7576SuuzvhDyhqHw5KsMEigPBjamiNjPrNHzW+/eLpW330V5psEGpEqFH83IX+3eq020P/dPGOJDwmL/kH9B4MGItEllxHppDCXlV6+79KFI81o3ptSSwRyCHaR/8BpvqKFOMewfUsSHpE602T/U6Zxo16i7XlWA9hlSX8fuH+pDp2s+sdi2c3grSSQwENk/JDqLYmcXiGL/UPSc4P4hkSCw0V6Jj1bmvP+qLSTWh5SVisSHIvXVX2K9WTuQYQIfUmbVrVbG7x8K7O9R11Q5VGx8KNS8/nM63XDCh7JCbn2oK0w7SyI7V9JJ5n71H7+PsYBpmL+PUd4qFBv5SBs9fn9q+L+IiN/HaN84+FBqKbQPBT+JKr95lPB3ogyf9555fu/tv87Eb2X8p+PHf1+/c/e5P3HeaHTK0NLgOt0YKhjU779J+Xqf2IdU25us8smHDyWufleNgw+llkL7EABknWyFCtyu9wNiyDKUrfaJNg4+lFrwIQDIMBlaGnPJ8GUoQygbBx9KLfgQAGSYHPvQ2Olq+qF9um0cfCi14EMAkGFy7EOQP0Iy9C4+lCbwIQDINs4XOQAbojL0Lj6UJvAhAMg8zp+MAMSiHLr4UHrAhwAAANyAD6UHfAgAAMAN+FB6wIcAAADcgA+lB3wIAADAAchQqsiJDy3MXnY+sgEAACxBhtJGfnxoYfbywpMndXQ3RgEAAAaK6+UfQuTKh/5cnxbslGjhyZOGTEik4SfncwQAQBHIjw/NGJO9D5nzIZGGn5xPEwAAuScnPuQtG5PGFKtEC0+eNOdAIrlKzmcKAIB8UyAfmpycND/NHcKqRiIlS2fPnnU+WQAA5Jhi+ZB5o8YQVjWbdOHChenp6QqpkGl6evrixYt/9Ed/FBoV+BAAwEAplg+lP124cGFmZmZjY+P4+FiQCpaazebm5ub8/PzFixdDAwMfAgAYKPhQutL09PTGxobrdZnkMm1ubk5PT4cGBj4EADBQ8KF0pUqlUrzI0Hp5pLzel5z2ahMjIyP9yi1xGSZqez1k0Gw2K5VKaGDgQwAAAwUfGlJ6/vk3fyGEEL948/nnDadVKpX+rMpZSr4PrZdHelIJSawss+qfivnJ96G92sTIyOjo6OjoaLdvgg8BAAwZfGhICR/Sp35JSYLIzCB9qIe3wYcAAIZMPn2oLR9e+sWbzz+vP/KLX7RfOLh9xT/pF2/GnzA5Ofn881duH/jZHty+Er1KPtgpwLf/8NtKPQr60F5tohVgGB0dbS2oe7WJiYnOUyEpCBF1gb3ahCJgsl4O5ymv10qpiHtT9RspyqaqUSA+5P3Qer9wvaSSR6M/e7UJKRjTzkoq+fvSu4+MTNT2xHp5RJdb56XyulVHmMqmFbV6vS5/uaxer3vH8SEAgCGTTx/yHMVTFslaDm5f6fxYbhmJrD4BDfp2/Alx2Uqvh+JDunCRNj4UeAojuUsn7qBcdCOqEbjEVxcLH4p5U/MbqTLtHFP60EhHO6IZqgVDPqooRheBG8PTttiOCL3NXm1Cv6Gp2WxWq1VPhqrV6qNHj7zj+BAAwJDJpw+FVEOWj4juBA4mOkFO8Vd19bzMj1J0og7BRX80mKLr7l5twguXhN1DyP+yiQ/FvGnrFOmNlKcpaqSJD4XNRi55Vz4knRmM+kSaQ5VR6EJdR2jKFv8I7+HDh/Pz87OzswcHnUgjPgQAMGTy6UN+WMYiPtSLD10JvZHOvaI+ZBUfUq6y8gprs2FmrzYxUS7752njQ+0TlKERmzeNvpEhXBU4wc6H4ssQ70ORgtjFh7rqiO53MW1vb29vb8tH8CEAgCGTTx/qav9QYh968/nng/uHTFdNTk5KRdDuH5qcnPz888/bpwW2rSjCEiL4JSbNM571cvCBjWL/kLT5ZmIiJj6kf9PwGylOU9XI0ofUsSVdKRU+5NdRvtzLs6v9Q8qOUGYe0k/L9Pjx42jgEB8CABgo+fShTKcf//jH3a2fMann34eTwtTrF/NTnd59993oqMCHAAAGCj6UuvTHf/zHP/7xj6UoUU8pSYAipUn+dlhOqhRKjx8/fvfdd0ulUnRU4EMAAAMFHyKR0p6QIQCAQZMTH1qYvex6zSKRBpKQIQCAIZAfH1qYvXxWn7pafkik9CTncwQAQBHIlQ/9ZOFLOs7aKdHZs2cNmUDWcX6/AQBAOsmPD3mZ6LD3IXM+kHWc33IAAJBCcuJD5hw8YpXo7Nmz5hwgHzi/6wAAIG0UyIduXxk1b9Rwvk7DcFg4d8L5jQcAAKmiWD5k3lzSyxJ78eYpcAI+BAAAvVMsHxoQF28+Cc643nVgDx8CAIAQ+FDvMnTq4vWz6eHl128XAbnKz04+gQ8BAEAv4EO5kqEzX79dHBIrET4EAAAh8KG8ydCp8zeKQzIlwocAACAEPtQvGfq9V+anpq9eqfSUpl+ZO/9n157DhywZO11NoET4EAAAhMCH+hMZemV+amZmZmNj4/j4ONnfNm82m5ubm/Pz86/MnceHkvmQpRLhQwAAEAIf6oMMXbx+dvrqlY2NjWQmJKfNzc1KZRofSuxDNkqEDwEAQIj8+9A71Zv/2JKN9wckQxevn61UKokjQ3JqNpuVSiUNPjReWmsIIcTuYmmpjwaTLFvdVUofilUifAgAAELk04c+EUKI9++XR94p/8FH/yCE+NVH1ZHByZDnQwGv2atNjIyMjo6OjEzU9rpTohz4kOHa4fiQWYnwIQAACJFPH+oEh8pl340GJ0MRH9qrTbQ1SPqxOD7U92wT+JBBifAhAAAIkU8f8hxo69VXPwmYRvLnZbEuEvChgANphaher8tfLavX6zofunDtmx8qMrj31rUzBh9qO4SXdhdLS8EjYn912feMldUj77TXpgLntC6s7YaOyFLSEEKIo/3D1suN2pKsL6FitPPfXSwtjc9t7QshDrdKpaXx0vLKoX/a0crcUqQKirc2+5AHPgQAALHk2Yful0f6FR/ygg3mdbezatv5ULPZrFarngxVq9VHjx55x5MFh6I+5OlFo6YIw7RERGE/v260r/KdRjYYZfCm0TYY32+mpvxrb4WKIanSWkOI/dXlU+dvtGUolEnnWuJDAAAwUPChvilRtz4khHj48OH8/Pzs7OzBwYF/sF8+FBWItgb5Kew6qrjO7mJpaXFHumhnTeVDgUtem9K6lH9OY0fo40Dha9k/BAAAAwUf6psSSWt5F/uHtre3t7e35SPRnJM9L/MjLtEtOLrYTyBOE1EQnZREn39F4kPRYojGzq4QoYdlndNiC2P2Ib5fBgAAXYEP9U2JPn/8KGBEib5f1mw+7ld8SLF/KLANSOFDxhhSK0UfwCn2G1nuH/JeUuwfEgHBCh6M9SF+/xAAAHRLPn1ooOiU6O7Pf9SF+GjST++/0y8fGhqD+BqaJfx+agAA6Av4UN+U6Ovf+P27P/9RIErUTWo2H//0/juvvD6BDyX2If5+GQAAJAMfSkjs182GT9H+Xkey4BA+BAAAUfChXCmRc0dJvwzhQwAAEAUfypsSjZ2uFoHEMoQPAQBAFHwoh0pUNLqSIXwIAACi4EMoUbbpVobwIQAAiIIP9U2JwAnIEAAA9A4+BAUCGQIAACUF8qGFcycMdLemQkZxfb8BAEA6KYoPeWvhy6/f1rFgp0QL504YMgEAADPOlz0AJYXwIU+GvF9XqMPeh8z5AACAGecrH0CUoviQdxOaf8VfrBItnDvh/PcQAgDkAOeLH0AIfCh4ixp3nzifQQAA8sHY6arz9Q9ABh8KYH7s7XwGAR/neyAAYnF+m6QZfAjSBj4E2cP57gcAS5zfLKkFH4K0gQ9BxshxVzqPZ6Q85uG87k4ax3mlBtQs+BCkDXwIMkZeu9J5JCPlMQ/ntU7cOGOnq7mvdbJmcb7+AcjgQ5AxctmVuawU7eOR2IcyXWubZnG+/gHI4ENF5+nzN164dK08fbXSQ7oyffXFS4vPfHVpCAXOZVdmrlK9xDxy3z6hxsGHdM3ifP0DkMGHis4Ll67NzMxsbGwcHx+LRKnZbG5ubs7Pz794aXEIBc5lV2auUviQfePgQ7pmcb7+AcjgQ0WnPH11Y2MjmQnJaXNz88r01SEUOJddmblK4UP2jYMP6ZrF+foHIIMPdcF4aa0hhBC7i6VhPBgaDpVKJXFkSE7NZrNSqQyhhXO2SCgrZTnMHA7I6Bo/Pre13xoL/S9Pfzvd3G69t+pwfMimnMnqoruq783ifP0DkMGH+jaNJsPPcHBr2/jc1v7hVsn7byTzSqUS8Jq92sTIyOjo6MjIRG2vOyWy9yG5srqfddcm7kpD5s57IZ0+NF5aXjlU5x9a29pnHq3MDaQkTnzotamE2mT2Ifsus/QhQzkH4UN9bBbn6x+ADD7Ut2k0tZmXVo/Ezlpp9Wh/dVl5QtCG2hok/WiZeq+4Kx9y3gsp9KF25pY+NFgzS2F8KLEP9avW6YwP4UOQXQrqQ94du7J6JFqfeG6tHPrL+tHKnL8wH+23jzdqykhGK3mLXPCgd9pyKOfQHBH8yNW5Vl+k3cZO500X2z83aoaZPZBzdJ7qvBhwIK0Q1et1+ctl9XrdOx4tgBBC7Ky1GuFwq1Ra8gr8s++taSp++FGgjooWC3VlpI7qZo+elqpeUI7PUCPoK+WXPDBczZf4gz/ZaqqKeYQ7Ubq/ovdFd81o7HT1/RitabR/7eND47Vd+cJoVuaFXz/YEg/1Tg6BcmrOWSwttR5oHm6VNPOS8lYylLz3ZnG+/gHIFNmH/PTrRjvU708ZU+0FRnUwME20t0101k5/NpcfIsiTUXSKiTw2UlzYfnfZzMKWppncdxdb/1WvfJ2WsPOhZrNZrVY9GapWq48ePfKOR3NuF8xvTMMMHpjNGzVti4W60m9zaRm7pWz2bp+XDbMXlONTboQpVaWmwiti6FXDJX7qjw8ZPioY7y/bZtR1uqLMnftRWQzLzhI64UjQOEYfSjLU9eWMTkF+IdcanY9tyoF9K3ormX2o92Zxvv4ByBTZh1p3rPLju3LBVnzY0lwSnBoCp+lC0MYVRVskwzMmy+DQqe59SAjx8OHD+fn52dnZg4MD/2A0Z+8Tf2NnV+ysLe6IxurWvvAiRvF1sVwa9d0Urnj3PjS8XkhWKWOEIOYSmwcovflQ6P7S30o9dHqnAHH3o/1jWWUh/diVEELsrHW78BusInGtbbwtGIfTxYFsy9P3ZnG+/gHI4EPqraCB2VP7cTw0xd8K5WOzyTQ2MhG75Jgnd2/DyuKO0G0eOpV0/9D29vb29rZ8RLG0tMPp+6vLpdZjC92Tx4RLY+eTrr4jYuX93z8AACAASURBVFd3571g4UOKSplMPRgfsmkERff1x4cMYbZeO93w7hEfWo4OFXsfiq2moXH65UO6WkfiQ9FzRGNnV4jQw7LQwIhvn743i/P1D0AGH5LnAj+ptxoEbvvAg/PQCfKRcM66+NApyR6kqS1apC5W4vHS8srh0cqc91/t+vfZ548775P0+2XHj7/QLy3SWqhcMjsVb209sV8kooEBQ7PLLZyqXoj1IWWlIoGBSH31l8T6UHQwG9Y2c1Pot/sk9CFFhpH7UbFsq4aKvuLa5u08jdIMpwH5UK/7h7yXFPuH2ifEtU/fm8X5+gcgU1AfiqWrj9FZ5+07H4ieU/3ug+GUVteVuk0YmaDH708Nf7jy+xjtG4ffx6hrFufrH4AMPqSmUD70zNfeePvOB4EoUTfp+PEX9bsPnrvwneGU1viheVC//2bIleqWxMNVtZXEKp98+FDi6nfVOPiQrlmcr38AMvgQZIxcdmW2KjVkGcpW+0QbBx/SNYvz9Q9ABh+CjEFXumX4MpQhlI1Di+maxfn6ByCDD0HGyHFXjp2uph/ap9vG6bHRnFdqcM3ifP0DkMGHIGPQlZAh3BpkmsGHIG3gQwAAAwEZMjeO8/UPQAYfgkzi/BEAQCzOb5PUMoYMQfooig8tzF52PgUAAAAyBOmkQD60MHu5L5/knH/oBADILs6XPQAlxfKhl1+/rWPMTonGTlcNmQAAOJ/WASABBfIhbwuRDnsfMucDAOB8ZgeAbimKD3mTVKzr9HgCAICH88kdALoCHwpgfuztfIYFgKzARhmAbIEPBTBvC3A+w4LPxZunwDnOh0GawYcAsgU+BNnj4s0nISU4HwypBR8CyBb4EGSM1kp8/ayM868U2RAqc27osUOd90vvKOuFDwFkC3wIMkbUh5x/mcge5+4yCJ6dfCJxbzrvkX4RrRo+BJAt8CHIGCEfylzPOteX9PhQ5vquK/AhgGyBDxWdp8/feOHStfL01UoP6cr01RcvLT7z1aUhFDjrPjR2uurcYPChAfVs6J/O53cAsAcfKjovXLo2MzOzsbFxfHwsEqVms7m5uTk/P//ipcUhFBgfShv4kN+zoX86n98BwB58qOiUp69ubGwkMyE5bW5uXpm+OoQC40NpAx/yezb0T+fzOwDYgw91wXhprSGEELuLpWE8GBoOlUolcWRITs1ms1KpDKGFzT5k2UEOuzI9PnTh2jc/FEKIe29dO5NCH7Lpo2T9qLuqxyGBDwFkGnyoCwaxiPoZDm6FHp/b2j/cKnn/jWReqVQkq9mrTYyMjo6Ojo6OjEzU9rpTInsfkiur+1l3bSZ8aLy0vHKozj/3PmTfsJY+9NqUtrMG4UOGtzO/Iz4EkGnwoa4WuQEuooPLvLR6JHbWSqtH+6vLyhMkpVkvl9f9H7s1ot4rng8famdeUB+yJ4vxIXwIIK8U1Ie8GW1l9Ui0PhHeWjn0l/WjlTl/YT7abx9v1JSRjFbyVCN40DttOZRzaA4NfiTtXKsv0m5jp/Omi+2fGzXDZ9lAztF5PHyKl/ZqExofqtfr8pfL6vW6dzxaACGE2FlrNcLhVqm05BX4Z99b01T88KNAHRUtZuNDocujvRCJPQQ62nyJP2ySrdMhH2pLSSt9uvnSxetnL9y+Jx0L+4onMR9+5L368Xs3z8hm4//8/cVvBM8Un26+9Fb75w9vd878UDp48frZC9deeu83/rsH8n9v82OvSLHxIT/KYujKUN+Fbh8/BzlgoztnsbQ0Pre1L1rDTHnfRW6H+PjQeG1XPj96n+JDALmhyD7kp183DluTpj+lTrWXSdXBwDTaelUyGF9N2pNyIJOS5iNpULYUF7bfXTazsKVpFubdxdZ/1eu3UCRTdKjZbFarVU+GqtXqo0ePvOPRnNsF8xvTsMIFVrtGTdtiFj4UuHyq1S/qrnxN3dGGSzprYV98qCNGN3/4qRCyx+jCNp4/fXj7TOuS3/zwmnRJxIdk9QloUOCETlaeDH383s1o/n6y9yFTV4b6LnL7hEeL6hZbk8dY+2OJ8vbpXGv5vEz54Iz4EEBeKbIPtWY0ZRBFuWArPoxqLlF93lUvomYtiC2S4RmTZXBI4UPr5ZER/7GZOj18+HB+fn52dvbg4MA/GM3ZiwY1dnbFztrijmisbu0LL2IUXxddvSyfl0V6Td2Yxo7Wtr9OgxL4UFuD/HTvrWtn/CiOEEJ89E2VD6lDQbEHra8KFMmsaOb4kKErzc86VT6ku8W8KJQuDmRbnui7+PFXIYTYWcOHAHIMPhT4NKlcz/RBhdAieiuUjzLnELHxIXWRrPfceNuGFneEbvNQyIcsXKiVtre3t7e35SMKLWg/bthfXS61HjPpnjwOzofC/aJca4Mdbbqkvz6kVBbz/p6B+JAqPmS506hfPhS5fXTxoeg5orGzK0ToYVmo+6SgUZf7qS1vN3wIINPgQ/Jc6SfFRoHwah3YWBA6QT4SztmwhVPKM7R/yLTAGCbo8dLyyuHRypz3X+0q/tnnj1tvslebGGl9v8xLdmokhBDHj7/Qa4H05EJVZqnirf1DffQhZS9EQg7hDjJcYr1ZO5ChzoeCW4VENELj7emJVahonMnahzqXeLoT3D8UzmpwPtTr/iHvJcX+ofYJkZiu3fOyVuo8pJPuU3wIIDcU1IdiyeWvGtLx9p0PRM+pfvfBcErb39/HOPyOTs/3y/oFv4/R79nQP53P7wBgDz6kplA+9MzX3nj7zgedKFGX6fjxF/W7D5678J3hlDYlPqTapGKVDz7kgw8BQHrAhyBjZPrvdeRPhvAhv2ejR5zP7wBgDz4EGSPkQxevn3VeJEtyKUO9+FBuiMrQKXwIIGvgQ5Axoj508frZsdPV9ONcXNLpQ877pXd09XI+vwOAPfgQZAylD4ErCA7pwIcAsgU+BNnDuQSABzJkAB8CyBb4EGSSZyefAOc4HwapBRkCyBxF8aGF2cvOp0gAKALIEEAWKZAPLcxe7nZHpG6yAwDQ4XxaB4AEFMuHXn79to4xOyUaO101ZAKDwPlNAgAAuadAPuRtIdJh70PmfGAQOL9PAAAg3xTFh7xlNdZ1ejwBBofzWwUAAHIMPhTAvC3AuRMUGbZlAADA4MCHApg3sjh3gpTz9PkbL1y6Vp6+WukhXZm++uKlxWe+Gv6rqPgQAAAMDnwI+sYLl67NzMxsbGwcHx8r/vS7RWo2m5ubm/Pz8y9eWsSHAABgaOBD0DfK01c3NjaSmZCcNjc3r0xfxYcAAGBo4ENuGC+tNYQQYnexFH4wNPxs+1WYSqWSODIkp2azWalU8CEAABga+JADa+kxZ8O1/fWhbnOrVCpRuVkvT9T2ulYifAgAAIYJPpQ9H+p7toPyofXy6OjoyAg+BAAAaaegPjRe25UW393F0tJ4aXnl0D9ytDK31LaBzmkqV5BzCJy/v7rs+8TK6pF32mtT4TwXS0vRwshv1BBCiKP9dtkatSVZU0LFaOe/u1haGp/b2hdCHG6VVLWLVEH31tHM1Sdr4kN7tQmTD9XrdfnLZfV63TuODwEAwDApqA+Fwh5tXThamQtphDZA4ulFo6YInLRyUNjPrxvtq/ycZYNRBl0aIlywqSn/2luhYkgFXmsIsb+6rKvdlHStTXxI10Q9+lCz2axWq54MVavVR48e4UMAADB8CupDizvSmryzFomUiGD0RSEr0eNtDerkEHIdVVxnd7G0FCqM7o2iChV1Kf+cxo7Qx4HC19r5UPz5CXxICPHw4cP5+fnZ2dmDgwP/ID4EAADDpKA+FFrv24GWlkDYbKAJna/UhYgPSSGWSM6694o+/4rEh6LFEI2dXSFCD8sCtTMXZmjxIS9tb29vb2/LR/AhAAAYJgX1ITle4j1sCu6wkSSms7knbv9QYBuQwoeMMaRAYSI+FHwjy/1D3kuK/UMiIFiRKgeqKVU/dv/QqfM3Pvv8ceeU9fJoO42U14V1On78RTRnfAgAAAZHQX0oQwzoC24D4u07H9h7jy7V7z7AhwAAYJjgQ2knWz70zNfeePvOB4EoUTfp+PEX9bsPnrvwHXwIAACGCT4EGQAZAgCAgVIIH7p9ZXRh9rLzRR2SgQwBAMCgKYoPeUo0drqqo6vlGYaJ85sEAAByT4F86CcLXzJgqURjp6vmfCDNOL/fAAAgnRTIh7xzdNj7kDkfSDnObzkAAEghBfKhWGKVaOx0tce3gDTg/K4DAIC0gQ8FMG9kcb6QQ19YOHfC+Y0HAACpAh+CwoEPAQBACHwICgc+BAAAIfAhKBz4EAAAhMCHoHDgQwAAEAIfgsKBDwEAQAh8CIoFMgQAAFFy4kMLs5edL7SQfpAhAABQkh8fWpi9vHDuhI7ulkzIK67vNwAASCe58iHTH66yU6KFcyf4o1oAAABFIz8+FPNXq6x9iD+qBQAAUDRy4kM2+6ljlcjSmQaE86EAAABQWArkQ7fj9gY5lKHbbPUFAABwR7F8yLyPBx8CAAAoJsXyoTSDDwEAALgCH0oL+BAAAIArCupD75TLnwghxPv3yyPOTQgfAgAAcEuBfEh2oEH4UI954kMAAACuwIeIDwEAABSdfPpQW3e8JAuQn355JIQQ73/yS++fv/qoOnL7yug75T/46B/8c371UbVjTh+9/yshhBCfCiHEL8utM//h5t+UR+7/Uggh/u+3X+341g/el97LK0A4Z3wIAAAgJeTThz76h7bNVG/+o2hZiyo+JD75Qeecu6/+T9EL7776qlKk7rdy+NVH1Va2W60zOz/4wae2DIWLhA8BAACkgXz6kPK5WOzPW2H1UcuNFw365Jfvi1+W7/9SfPL+zX9sRYw6ed7/pWxQ5Uh0SkQf1eFDAAAArsinD1nHh0I+1IkPRR69ScGe9rOwf3z/D/6m9RBNfPIDxZ4kc848LwMAAEgJ+fSh6P6hkMpIj71CbiTv8tE9/PKflLV9yxhn+uQH0Z1JxIcAAABSRD59KIvgQwAAAK7Ah9ICPgQAAOAKfCgVIEMAAAAOwYfcgwwBAAC4pUA+tHDuhIHu9KW/uB4EAAAABacoPuRpx8uv39ZhqUQL504YMoH+4vz2AACAglAIH/Jk6MzXbxuw9yFzPtBfnN8hAABQBIriQ97ieur8DQOxSrRw7oQ5BxgEzm8SAADIPfhQcOk1bvRxbgbFZOx01fl9AgAA+QYfCmDezuLcDFLL0+dvvHDpWnn6aqWHdGX66ouXFp/56hI+BAAAQwYfgj7wwqVrMzMzGxsbx8fH4T9ca5eazebm5ub8/PyLlxbxIQAAGDL4EPSB8vTVjY2NZCYkp83NzSvTV/EhAAAYMvhQfxgvrTWEEGJ3sRR+3NPVOYMrzEDfvVKpJI4MyanZbFYqFXwIAACGDD7Uq+WEznxtSnvJoH3IXIau3r3bolYqlajcrJcnantdKxE+BAAAwwcf6rMP5SM+1KsPrZdHR0dHRvAhAADIBgX1ofHarrQE7y6WlsZLyyuH/pGjlbmlthN0TlMZQ+slPyQjx2Z05yyWlsbntvaFEIdbpaBwhN50f3W5VdTDrZJUyEYtXLz91eVofKix03pVOl9d2ZCChCrezrDTXBbxob3ahMmH6vW6/OWyer3uHceHAABg+BTUh0LBj7YfHK3MBUzFECbxvSQUUJHE6JbunMXSWkOI/dVlU4TGK0Ywn5Yb7axpzgyVQTRqnepMhQsWrqwuPqRrnB59qNlsVqtVT4aq1eqjR4/wIQAAcEVBfWhxR1qZd9YioSARDPAofChiVFEfCl/rn9PYEcqojCQ3wWK0NcgrtidY0TONMSqFLYXeRe9D6p979CEhxMOHD+fn52dnZw8ODvyD+BAAAAyfgvpQRGI6IRPLbTSh8/Xxoeg5orHTeQSm0yzt461I4MqsYub4kDY6Nfj4kJe2t7e3t7flI/gQAAAMn4L6kBwgaYVbAltqOg4k7TTq6/4h76Xog6rAxiZFMTpP3yJn6iNARsGS3kVTkvj9Q6fO3/js88edU9bLo+00Ul4X1un48RfRnPEhAAAYNAX1Ieg7b9/5wN57dKl+9wE+BAAAwwcfgv7wzNfeePvOB4EoUTfp+PEX9bsPnrvwHXwIAACGDz4EqQYZAgCAIVAUH1qYvex8aYduQYYAAGA4FMiHFmYvj52u6uhqkYbh4Pz2AACAglAsH3r59ds6LJVo7HTVkAkAAJhxvuwBKCmQD3lbiHTY+5A5HwAAMON85QOIUhQf8m7CWNfp8QQAALDB+eIHEAIfCmDezuJ8BgEAyAdsEIS0gQ8FMD/2dj6DgI/zPRAAsTi/TdIMPgRpAx+C7OF89wOAJc5vltSCD0HawIcgY+S4K53HM1Ie83BedyeN47xSA2oWfAjSBj4EGSOvXek8kpHymIfzWidunF62HjqvzkCbxfn6ByCDD0HGyGVX5rJStI9HYh/KdK1tmsX5+gcggw8VnafP33jh0rXy9NVKD+nK9NUXLy0+89WlIRQ4l12ZuUoN+euW2WqfUOPgQ7pmcb7+AcjgQ0XnhUvXZmZmNjY2jo+Pk/1p+mazubm5OT8//+KlxSEUOJddmblK4UP2jYMP6ZrF+foHIIMPFZ3y9NWNjY1kJiSnzc3NK9NXh1DgXHZl5iqFD9k3Dj6kaxbn6x+ADD7UBeOltYYQQuwulobxYGg4VCqVxJEhOTWbzUqlMoQWztkioayU5TBzOCCja/z43NZ+ayz0vzz97XRzu/XeqsPxIZtyJquL7qq+N4vz9Q9ABh/q2zSaDD/Dwa1t43Nb+4dbJe+/kcwrlUpUbtbLE7W9rpXI3ofkyup+1l2buCsNmTvvhXT60HhpeeVQnX9obWufebQyN5CSOPGh16YSapPZh+y7zNKHDOUchA/1sVmcr38AMvhQ36bR1GZeWj0SO2ul1aP91WXlCSEVGh0dHRlJ4kO9V9yVDznvhRT6UDtzSx8arJmlMD6U2If6Vet0xofwIcguBfUh745dWT0SrU88t1YO/WX9aGXOX5iP9tvHGzVlJKOVvEUueNA7bTmUc2iOCH7k6lyrL9JuY6fzpovtnxs1w8weyDk6T4VPEXu1CZMP1et1+ctl9XrdOx4tgBBC7Ky1GuFwq1Ra8gr8s++taSp++FGgjooWC3VlpI7qZo+elqpeUI7PUCPoK+WXPDBczZf4gz/ZaqqKeYQ7Ubq/ovdFd81o7HT1/RitabR/7eND47Vd+cJoVuaFXz/YEg/1Tg6BcmrOWSwttR5oHm6VNPOS8lYylLz3ZnG+/gHIFNmH/PTrRjvU708ZU+0FRnUwME20t0101k5/NpcfIsiTUXSKiTw2UlzYfnfZzMKWppncdxdb/1WvfCKcYnyo2WxWq1VPhqrV6qNHj7zj0ZzbBfMb0zCDB2bzRk3bYqGu9NtcWsZuKZu92+dlw+wF5fiUG2FKVamp8IoYetVwiZ/640OGjwrG+8u2GXWdrihz535UFsOys4ROOBI0jtGHkgx1fTmjU5BfyLVG52ObcmDfit5KZh/qvVmcr38AMkX2odYdq/z4rlywFR+2NJcEp4bAaboQtHFF0RbJ8IzJMjh0qnsfEkI8fPhwfn5+dnb24ODAPxjN2fvE39jZFTtrizuisbq1L7yIUXxdLJdGfTeFK969Dw2vF5JVyhghiLnE5gFKbz4Uur/0t1IPnd4pQNz9aP9YVllIP3YlhBA7a90u/AarSFxrG28LxuF0cSDb8vS9WZyvfwAy+JB6K2hg9tR+HA9N8bdC+dhsMo2NTMQuOebJ3duwsrgjdJuHTiXyISHE9vb29va2fESxtLTD6fury6XWYwvdk8eES2Pnk66+I2JXd+e9YOFDikqZTD0YH7JpBEX39ceHDGG2Xjvd8O4RH1qODhV7H4qtpqFx+uVDulpH4kPRc0RjZ1eI0MOy0MCIb5++N4vz9Q9ABh+S5wI/qbcaBG77wIPz0AnykXDOuvjQKckepKktWqQuVuLx0vLK4dHKnPdf7fr32eePO++zXh5tp5HyurBOx4+/0C8t0lqoXDI7FW9tPbFfJKKBAUOzyy2cql6I9SFlpSKBgUh99ZfE+lB0MBvWNnNT6Lf7JPQhRYaR+1GxbKuGir7i2ubtPI3SDKcB+VCv+4e8lxT7h9onxLVP35vF+foHIFNQH4qlq4/RWeftOx+InlP97oPhlFbXlbpNGJmgx+9PDX+48vsY7RuH38eoaxbn6x+ADD6kplA+9MzX3nj7zgeBKFE36fjxF/W7D5678J3hlNb4oXlQv/9myJXqlsTDVbWVxCqffPhQ4up31Tj4kK5ZnK9/ADL4EGSMXHZltio1ZBnKVvtEGwcf0jWL8/UPQAYfgoxBV7pl+DKUIZSNQ4vpmsX5+gcggw9BxshxV46drqYf2qfbxumx0ZxXanDN4nz9A5DBhyBj0JWQIdwaZJrBhyBt4EMAAAMBGTI3jvP1D0AGH4JM4vwRAEAszm+T1DKGDEH6KIoPLcxedj4FAAAAMgTppEA+tDB7uS+f5Jx/6AQAyC7Olz0AJcXyoZdfv61jzE6Jxk5XDZkAADif1gEgAQXyIW8LkQ57HzLnAwDgfGYHgG4pig95k1Ss6/R4AgCAh/PJHQC6Ah8KYH7s7XyGBYCswEYZgGyBDwUwbwtwPsOCz8Wbp8A5zodBmsGHALIFPgTZ4+LNJyElOB8MqQUfAsgW+BBkjNZKfP2sjPOvFNkQKnNu6LFDnfdL7yjrhQ8BZAt8CDJG1Iecf5nIHufuMgienXwicW8675F+Ea0aPgSQLfAhyBghH8pczzrXl/T4UOb6rivwIYBsgQ8VnafP33jh0rXy9NVKD+nK9NUXLy0+89WlIRQ46z40drrq3GDwoQH1bOifzud3ALAHHyo6L1y6NjMzs7GxcXx8LBKlZrO5ubk5Pz//4qXFIRQYH0ob+JDfs6F/Op/fAcAefKjolKevbmxsJDMhOW1ubl6ZvjqEAuNDaQMf8ns29E/n8zsA2IMPdcF4aa0hhBC7i6VhPBgaDpVKJXFkSE7NZrNSqQyhhc0+ZNlBDrsyPT504do3PxRCiHtvXTuTQh+y6aNk/ai7qschgQ8BZBp8qAsGsYj6GQ5uhR6f29o/3Cp5/41kXqlUJKvZq02MjLZTeb07JbL3Ibmyup9112bCh8ZLyyuH6vxz70P2DWvpQ69NaTtrED5keDvzO+JDAJkGH+pqkRvgIjq4zEurR2JnrbR6tL+6rDxBUpr1si9Be7WJke6MqPeK58OH2pkX1IfsyWJ8CB8CyCsF9SFvRltZPRKtT4S3Vg79Zf1oZc5fmI/228cbNWUko5U81Qge9E5bDuUcmkODH0k71+qLtNvY6bzpYvvnRs3wWTaQc3QeD5/ipfXyyERtT/VKvV6Xv1xWr9e949ECCCHEzlqrEQ63SqUlr8A/+96apuKHHwXqqGgxGx8KXR7thUjsIdDR5kv8YZNsnQ75UFtKWunTzZcuXj974fY96VjYVzyJ+fAj79WP37t5RjYb/+fvL34jeKb4dPOlt9o/f3i7c+aH0sGL189euPbSe7/x3z2Q/3ubH3tFio0P+VEWQ1eG+i50+/g5yAEb3TmLpaXxua190RpmyvsucjvEx4fGa7vy+dH7FB8CyA1F9iE//bpx2Jo0/Sl1qr1Mqg4GptHWq5LB+GrSnpQDmZQ0H0mDsqW4sP3uspmFLU2zMO8utv6rXr9FKK2XR0dHdTIkhGg2m9Vq1ZOharX66NEj73g053bB/MY0rHCB1a5R07aYhQ8FLp9q9Yu6K19Td7Thks5a2Bcf6ojRzR9+KoTsMbqwjedPH94+07rkNz+8Jl0S8SFZfQIaFDihk5UnQx+/dzOav5/sfcjUlaG+i9w+4dGiusXW5DHW/liivH0611o+L1M+OCM+BJBXiuxDrRlNGURRLtiKD6OaS1Sfd9WLqFkLYotkeMZkGRxS+JCXjM/LHj58OD8/Pzs7e3Bw4B+M5uxFgxo7u2JnbXFHNFa39oUXMYqvi65els/LIr2mbkxjR2vbX6dBCXyorUF+uvfWtTN+FEcIIT76psqH1KGg2IPWVwWKZFY0c3zI0JXmZ50qH9LdYl4UShcHsi1P9F38+KsQQuys4UMAOQYfCnyaVK5n+qBCaBG9FcpHmXOI2PiQukjWe268bUOLO0K3eSjgQ3u1sh8Vits/tL29vb29LR9RaEH7ccP+6nKp9ZhJ9+RxcD4U7hflWhvsaNMl/fUhpbKY9/cMxIdU8SHLnUb98qHI7aOLD0XPEY2dXSFCD8tC3ScFjbrcT215u+FDAJkGH5LnSj8pNgqEV+vAxoLQCfKRcM6GLZxSnqH9Q6YFxjBBj5eWVw6PVua8/2pX8c8+f9x+l/XySMLvlx0//kKvBdKTC1WZpYq39g/10YeUvRAJOYQ7yHCJ9WbtQIY6HwpuFRLRCI23pydWoaJxJmsf6lzi6U5w/1A4q8H5UK/7h7yXFPuH2idEYrp2z8taqfOQTrpP8SGA3FBQH4oll79qSMfbdz4QPaf63QfDKW1/fx/j8Ds6Pd8v6xf8Pka/Z0P/dD6/A4A9+JCaQvnQM1974+07H0hRou7S8eMv6ncfPHfhO8MpbUp8SLVJxSoffMgHHwKA9IAPQcbI9N/ryJ8M4UN+z0aPOJ/fAcAefAgyRsiHLl4/67xIluRShnrxodwQlaFT+BBA1sCHIGNEfeji9bNjp6vpx7m4pNOHnPdL7+jq5Xx+BwB78CHIGEofAlcQHNKBDwFkC3wIsodzCQAPZMgAPgSQLfAhyCTPTj4BznE+DFILMgSQOYriQwuzl51PkQBQBJAhgCxSIB9amL3c7Y5I3WQHAKDD+bQOAAkolg/93cvndIzZKdHY6aohEwCA1OJ8vQFIMwXyoZ+eOWfA3ofM+QAApBbnSw5AaimKD3lzwbunvmIgVonGTlfNOQAApBznqw5AOsGHApi3BTifyAAAemThyZPOFx6AhRYTzgAAD6xJREFUFIIPBTA/fXc+kSXmztNf+e4LL/9FebpCMqaZK9Nvvnhh9Zk/dN5lDIZ+pSL0aVfgQwBK8KFC8N0XXp6ZmdnY2Dg+Pk72R+yLkJrN5ubm5vz8/JsvXnDeZQyGvqSC9GlX4EMASvChQvAX5emNjQ3Xa1M20ubm5syVaeddxmDoY8p9n3YFPgSgBB8qBJVKpQjBACGE2KtNTNT2esig2WxWKpXETX0ohBD3H4x/2XzanfE3LM9kMPSedH16p/TOb1un9NQRDnszAfgQgJKC+pBh/srW1GZZ8kql4mQdcpB69iEhRHTttB8Sw/GhXi7vx2BYL4/03MrDTdE+vTP+6u6+EOKT3VKvXaDsjtTOJPgQgBJ8KF1TVS/gQ0IMyofsyUR8qOdWzl5S+VDflDRb8wk+BKCkoD50GJgqd/+9EELc3135RP6nNM35yXDQ+6zppU92S50psp3t/eBkGjl/8b4QQuy/8zMpt8NFU86HjejBTqkMS+B6eWR0dHR0dHSkvO79e7SdvANC7NUmRvyDI+Wa/8+2bIROWI8e7BybmJgYGRnxTtqrTYyEslKkYAktspWq0I5cdK4a0QQz6vW6/EWker3uHdfFh3Z+91vRllee2T5BHC5+Wd3dqk6UVtlW+u3Kq8qBcfDatyKLsZcCy7Ny7AUHQ3cd3R4e6+VWl7e6Qd+hil4IDz/FkNBkazF4uuzTTru1O9e2GZVziOqWvP9gvH13S5kHZoPIq6o+tR9C4TPxIQAbCupDqs924alt53dfkaTkjcP4g5/slr7c2pGw/87fBqbX8GSqOl/K2ZsfG2/IIf1ozoeLnYM/M35IDSyBoWcde7WJts5Ir8lhFumCzsnyCYEsOtn6OY3IluWfqI/kGJ7GxGbbPsEmTtRsNqvVqrdwVqvVR48eecfjfCjc8tFlUj7hb43DQ5dVe2tLcMh1BkbysRfxIXNHK8+VfUiWYe0o6CTT8FP1rv+j3eCx79PgJGC60ZTNqJxDgv3+rZBG66JHoVflj0PBI/FDSDnYQkMUHwJQgg+FNUJaaaIfwc0HA1OneRKMnt/5ENl440GjPc2FXU1bBnPQXl4CwyuJv7QF/hVaJmVhivpQ56j/0b8TpwnmNBpMkSVXVUKLbJULZTgOoUoPHz6cn5+fnZ09ODjwD8bGhwytnWB4BDqxs8O3daZxYMSP0ujYM/pQtKNVja8eBsGRJDoZyb0QHX6qIaHK1m7wCOs+1d07ls3Y1eUPGlL5Gm+Esgq9Gh1a9vOAcrA9wIcALMCHDD4kfdKyPqh8i+hkqtzIGQh0B56PaHNO4EOJ4kNmH2pfpfSSUCDJZnNPqIRdZat6C/VC3U7b29vb29vykf74kOoju7kT9aYbHRg28aF++JDaNbvwoXAvRIefYkiosu1mZ5hNn1rHh/rgQzZzgmE+sZ8HlHNRCHwIQElBfejdwDP7zoah8Cyj/LCuPBh4Zq+eDbXqI797u1SRULk657DMdSp1P/SOX3z2uZ+F3f6hWB+KbisJbkaJiosIbAHRbeuJlDA+273aROiE6BHL9E/Hj6P91aUP+ckfVLadGNxKInQDQ//A12p7rzQYuuvobuNDyl4w7B8aMeu43eCJJmWfaj4IddGMyjkk6kOhmI1/ayvHTLB/5cJYDyHN3IIPAZgprg91hWmHR+TxfDrZe/uvbVcPq9SP73GlMv19/Y7zzsraYEh7KkKf2oMPASjBh0wEP6UpvwGU8JeXDJ/3nnl+7+2/lqNEvaV++dB6eaQTfhgdHR0xPnMZaPqn48d/X79z97k/cd5ZWRsM6U3F6VN78CEAJfgQAEBRQIYAdBTCh25fGV2Yvex8JgIAcAgyBGCgKD7kKdHCkyd1dDenAABkDtfrDUCaKZAP/WThSwYW7JRo4cmT5nwS4HwQAAAAFJwC+ZB3jg57HzLnkwzn4wAAAKDIFMiHYolVooUnT/b4FjGP8wAAAMAF+FBYiQwMToa8ajofDQAAAMUEH0oL+BAAAIAr8KG0gA8BAAC4Ah9KC/gQAACAK/ChtIAPAQAAuAIfSgv4EAAAgCvwoVSADAEAADgkDz507/pTC7OXnTsNMgQAAJBRcuJDnhItnDuhozs7GTKuBwEAAEDByY8PfXjjdwxYKtHCuRPmfAAAAKC/OJehXPmQd44Oex8y5wMAAAB9Bx/qmw/FEqtEC+dO9PgWAAAAkAx8aEg+dO/6U+Z9PM6HAgAAQGG5MXkSHxqSDwEAAEA6wYfwIQAAgKKDD+FDAAAARQcfwocAAACKDj6EDwEAABQdfAgfAgAAKDRuZSgbPnT7yujC7GXnXQUAAACDwLkMZcaHPCW6MXlSR1eNDgAAAOnBuQxlyYd+svAlAzfslOjG5ElzPgAAAPnGuXmkk8z4kHeODnsfMucDAACQe5zLRwrJjA/FEqtENyZP9vgWAAAA+cC5f6SN/PjQ7Suj5seTzgcfAABASlg4d8K5gqSKXPkQAAAA2IAP4UMAAABFBx/ChwAAAIoOPoQPAQAAFB18CB8CAAAoOvgQPgQAAFBokKE0+tC9608tzF52PjgAAACKADKUXh/ylGjh3Akd3XUzAAAA6HBtHukkLT704Y3fMbBgp0QL506Y8wEAAB3OFyQAh6TFh7xzdNj7kDkfAAAw4HxNAnBFWnwollglWjh3ose3AAAA58sSgBMy40P3rj9lfiDqfBIBAMgBNyZPOl+ZAIZPlnwIAAAGDT4ExQQfAgCADvgQFBN8CAAAOuBDUEzwIQAA6IAPQTHBhwAAoAM+BMUEHwIAgBbIEBSWYfjQwuxl5zc5AACYQYagyAzJhxZmL9+YPKmjq9sVAAAGgfMFCcAhw/Ohl1+/reOGnRLdmDxpyARAifN7DAAA0s+QfOjM128bsPchcz4ASpzfZgAAkHKG4UPemnTq/A0DsUp0Y/KkOQcAA87vNAAASDNp8aFT52+YH2w7X1Ah04ydrjq/2QAAILWkyIfMu0CcL6hD4OLNU9A7+BAAAHRLinyo4Fy8+ST0C3wIAAC6Ah9KBa2F/PpZGeffzLIhVOb0gA8BAIA9+FAqiPqQ8+9k2eNcfZQ8O/kEPgQAAJbgQ6kg5EOZazHn9oMPAQBAL+BDqSDrPjR2uprIWn7vlfmp6atXKj2l6Vfmzv/ZtefwIQAASAw+lAqK6UOvzE/NzMxsbGwcHx+LRKnZbG5ubs7Pz78ydx4fAgCAxOBDqaCYPjR99crGxkYyE5LT5uZmpTKNDwEAQGIy6UMNIYTYXSwtmU8bL61Znukcsw+lv77JfKhSqSSODMmp2WxWKhV8CAAAEpNeHzKs7inxg/HS8sqhOv9u3zoTPmSor86HLlz75ofi3lvXzuh8KCo36+WJ2l7XSoQPAQBAL+BDieXAy7woPmSub398aL08Ojo6MoIPAQDAsHHgQ+O1XWkh210sLbUDD146Wplbklbf1mlRH2rsdM4/1YleRDPZfW3K++Fov31CoxZzycrqkW7ttza2TuHbBRC6PG18KM317V98aK82YfKher0uf7WsXq97x/EhAADoBQc+FFpT24v00crc0vjc1r4Q4nCrVFqKtY1GrXP+1NStaCZTU2E/CL5quMTkLjZ+IL+kq2CXPpTq+oZ86MK1b36okBmFGHXrQ81ms1qtejJUrVYfPXrkHY/KFj4EAAD2OPChxR1pfdtZi4SCfI2If14WiYgEMnkt7AddXGLzyMnah9Q/dxsfSnN9k8WHEviQEOLhw4fz8/Ozs7MHBwf+QXwIAAB6wdn+IWmd7sQtLFdf1WKvyCSiAruLJXW8xOZNXceHUl3fYfqQEGJ7e3t7e1s+gg8BAEAvuHpe1kqqfS2dFVfaaaTYPxQJvYQzicRLIvnrL7HevBzIMHCCVPi+7B9Kc30T+9Dnjx91cl0vj7bTSHldWKdm8zE+BAAAvZDe75f1kfT/IqL+/j7G4dc36d/rOHv35z+y9x5d+un9d/AhAADoBXzI5sJQ6r9npMSHEtc3sQ99/Ru/f/fnPwpEibpJzebjn95/55XXJ/AhAADohUL4UPrJ9N/rSCxDAwUfAgAAe/ChVBDyoYvXzzovkiXplCF8CAAAugIfSgVRH7p4/ezY6Wr6ce49+BAAAPQOPpQKlD4E/ZIhfAgAAMzgQ2nBuUPkhqgM4UMAAGAGH0oRz04+Ab2DDAEAQLcM3IduXxldmL3sXDWgsCBDAAAQyzB8yFMiw57crtY2gK5wfo8BAED6GZIP/WThSwbG7JRo7HTVnA8A9I7zWQkAYPgMyYe8c3TY+5A5HwDolrv/+pk//94PX/3u8t+8/rR/0PnEBAAwZIbkQ7HEKtHY6WqPbwEAIX44ffJr3/xOZfv41X/72Z/+b0v/x/R/7b/kfG4CABgmafGh21dGzbtAnK8cADljZfq/nfrG965uf/5n7//20vpnl3/+2Vevf+vfTI97ry6cO+F8egIAGBop8iEAGCYzV7969ht3/te/vPe11aOpH/8///ObP/sfr//44syr3qv4EAAUCnwIoKD81ZUTf3XlX0yW5//g+x/93vd+OVW+8ldXTtSnn/JexYcAoFDgQwCF5st/fvX09/5u/Dv/15/8+b+Sj+NDAFAo8CGAIvKvLz0ze/H3X7n4v/z3f/HDke/vj/2bX01evCifgA8BQKHAhwCKyNjX3/rP3jr453/58X/6g//3P/4/P//nf/nxn/7p8/IJ+BAAFAp8CKCI/Oev1v+Tfyv+w7viP7gj/qO3/7+xP/3W/375v/FfRYYAoGj06kP3rj+1MHvZ+eQOAF3xP/zxv/ov/uWb/+VL3/6vXlo6M3Xh21//7/yXkCEAKCB98CFPiRbOndBhP0cbMgGAIeF6VgIAGD798aEPb/yOgQU7JVo4d8KcD6QT54MYAACgR/rjQ945Oux9yJwPpBbn4xgAAKAX+uNDscQq0cK5Ez2+BbjF+VAGAABIzJB86N71p8xbFpwv59AjNyZPOh/NAAAAyRieD0G+wYcAACC74EPQH/AhAADILvgQ9Ad8CAAAsgs+BP0BHwIAgOyCD0F/wIcAACC74EPQB5AhAADINDE+dO/6Uwuzl50vt5BmkCEAAMg68T507/pTC7OXb0ye1NHVwgn5w/kgBgAA6BErHzL/+aobdkp0Y/Kk87+0BRnC+b0BAADFwcqHzH+7yt6HnP+ZLcgWzm8PAAAoCFY+ZOM6PZ4AoMT5HQIAAEWgPz50L25vkPNlFTIK+5MAAGAI9M2HAAYBPgQAAEMAH4JUgw8BAMAQwIcg1eBDAAAwBPAhSDX4EAAADAF8CFINPgQAAEMAH4L0ggwBAMBw+GcL/HkySCXIEAAADI1/5v3P+d/AAgjh/N4AAIDi8P8DSb3uauXTwGcAAAAASUVORK5CYII=" /></div>
<div align="CENTER" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: x-small;">Code represents on click event</span></span></div>
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<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b><span style="font-size: medium;"><span lang="en-GB"><span lang="en-GB">Comparing
2 cards and effects of comparing</span></span></span></b></span></div>
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" /></div>
<span style="font-size: small;"><span style="font-size: x-small;">Code represents effects of comparing</span></span></div>
<div align="CENTER" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">After
uncovering second card I give 1.5 second of time for player to take
look at cards. During this time clicking won't take effect(<click
avaible>=1). After 1.5 seconds game checks if numbers of uncovered
cards are equal or not. If they are that means that cards have same
pictures. Cards are hidden and marked as dead (alive=1). If they are
different they are covered.</span></span></span></span></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Regardless
of result of comparing we want to return to basic state. That means
we make clicking cards available and we set number of revealed cards
to 0. </span></span></span></span>
</div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><span style="font-size: small;"><span lang="en-GB"><span lang="en-GB">Tags:</span></span></span></span></div>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Stencyl, match, card, game, memory, </span>
</div>
Anonymoushttp://www.blogger.com/profile/03905805657537463904noreply@blogger.com0tag:blogger.com,1999:blog-5951247510204355644.post-27356330557677465752015-03-06T19:07:00.003-08:002015-08-11T01:59:45.454-07:00<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-large;"><b>#Stencyl:
Ghost Car</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;">Difficulty:
(4/10)</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>What
is a ghost car?</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">Think
of racing games. In almost all if not all racing games you will have
a time attack mode where your aim is to get the best time on a track.
You can compete against ghost car which represents „you” in your
best run.</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<img align="LEFT" border="0" src="http://www.gotoplist.com/wp-content/uploads/mini-racing-games.jpg" height="427" name="graphics1" width="643" /><br />
<span style="font-size: x-small;">Racing
game with ghost car on the left</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Original
request:</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" 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" />
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br />
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<b><span style="font-size: x-small;">Link to video of the game:</span></b></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><a href="https://www.youtube.com/watch?v=w1-wmD5FTj0">https://www.youtube.com/watch?v=w1-wmD5FTj0</a></span></div>
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><b>Follow
the link to get to the game with implemented ghost car:</b></span></div>
<div class="western" style="margin-bottom: 0cm;">
<span style="font-size: x-small;"><a href="http://community.stencyl.com/index.php/topic,39426.0.html"><span lang="en-GB">http://community.stencyl.com/index.php/topic,39426.0.html</span></a></span><br />
<br />
<br />
<span style="font-size: medium;"><b>Play me</b></span><br />
<br />
<span style="font-size: x-small;"><span lang="en-GB"><span style="font-size: small;"> </span></span></span><br />
<a href="http://www.newgrounds.com/portal/view/661879">http://www.newgrounds.com/portal/view/661879</a><br />
<br />
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Ghost
Car algorithm:</b></span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">The problem was solved for top view racing game.</span></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;"> </span>
</div>
<div align="CENTER" class="western" lang="en-GB" style="margin-bottom: 0cm;">
<img align="LEFT" border="0" src="http://www.esperanceshs.wa.edu.au/_pages/learning_areas/tae/computing/Courses/Year_10/Computing%206%20GameMaker/Scratch%20Activities%20Pages/images/pictures/top%20view%20racer.jpg" height="318" name="graphics3" width="424" /><br />
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<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<span style="font-size: x-small;"><span style="font-weight: normal;">Example of top view
racing game</span></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">What we want is:</span></div>
<ul>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Record player's position(x,y) as the game goes on</span></div>
</li>
<li><div class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Make Ghost car object(actor) which repeats the last
„run” based on recorded positions sequence</span></div>
</li>
</ul>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: medium;"><b>Ghost
Car solution:</b></span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">I
made a Stencyl game to show how to record positions and use them for
ghost car. The idea of the game is that you move green square(using arrow keys) and
collect 3 yellow squares. Once you collect all 3 timer stops and you
may press R to try another run. On "not first run" there will be a
ghost car in form of red square. Ghost car will always show the run
with the best time.</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">Yellow
squares could be used as checkpoints for player in racing games.</span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
</div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;">The
thing we need to watch out for while implementing ghost car is first
run. On first run we cant load ghost car because there is no path for
it to follow. Another thing we need to consider is that ghost car
always shows the best run. </span></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<br /></div>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<span style="font-size: small;"><img alt="" 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" /></span>
</div>
<div align="CENTER" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: x-small;">When created event in <scene behavior></span></div>
<div align="CENTER" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
<ul>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Count – number of yellow squares already taken</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">time – time of the timer</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">temp list – list containing as list[i] – x and as
list[i+1] – y coordinate of a player in current run</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">better time – answer if current run is better than so
far the best</span></div>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">do every <0.01> – counting time of current run.
Counting ends if all yellow squares are taken.</span></div>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Helper_1 – keeps index [i] of currently checked
temp_list[i] it is increased by 2 (not as usually by 1) because of
how temp list is organized</span></div>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">do every <0.05>:</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">if run not finished (not all yellows taken)</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">record position of player</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">if it isn't your first run</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">update position of ghost car (if possible == if there
are elements for that)</span></div>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Create player and yellow squares</span></div>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">If it isn't your first run create ghost car</span></div>
</li>
</ul>
<div class="western" lang="en-GB" style="margin-bottom: 0cm;">
<img alt="" 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" />
</div>
<div align="CENTER" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: x-small;">When player touches yellow square <colision behavior></span></div>
<div align="CENTER" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
</div>
<ul>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Kill touched yellow square – so it wouldn't be
touched again</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Increase count (variable of already touched yellow
squares)</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">Trigger event <collision> in scene behavior</span></div>
</li>
</ul>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<img alt="" src="data:image/png;base64,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" />
</div>
<div align="CENTER" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: x-small;">Event triggered by when player touches yellow square
<scene behavior></span></div>
<ul>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">If all yellow eaten (this pretty much marks the end of
run) </span>
</div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">If it's end of first run – change it to first run
finished, make current time the best time</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">If current time is better than best run time:</span></div>
<ul>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">mark that there is new better time (used in drawing
event)</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">set new best time to current time</span></div>
</li>
<li><div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<span style="font-size: small;">set new best list of position to the list of positions
of current run</span></div>
</li>
</ul>
</li>
</ul>
<div align="LEFT" class="western" lang="en-GB" style="font-weight: normal; margin-bottom: 0cm;">
<br /></div>
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<span style="font-size: small;">Tags:</span></div>
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<span style="font-size: small;">Stencyl, Racing, Ghost, Car, </span>
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