If the grid doesn't load the first time, just click the flag again and it should work. Also, you might have a bug where your turrets fire randomly between levels, I don't know what's causing that or how to fix it. Sorry! Also, THIS IS A LARGE PROJECT. It may take a few minutes or more to load on older computers. Please be patient :) The "How to play" menu is also useful.data:image/png;base64,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If the grid doesn't load the first time, just click the flag again and it should work. Also, you might have a bug where your turrets fire randomly between levels, I don't know what's causing that or how to fix it. Sorry! Also, THIS IS A LARGE PROJECT. It may take a few minutes or more to load on older computers. Please be patient :) The "How to play" menu is also useful.

The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.

ca:associació _ _ This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.

ca:_ per cada _ de _ _

1ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.

1The identity function reports its input.

pt:lança o erro _

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ pt:captura _ _ cont3

de:wirf _ ca:llança _ es:lanzar _ fr:lance _ pt:lança _ catchtag

de:ignoriere _ ca:ignora _ es:ignorar _ fr:ignore _ pt:ignora _

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ pt:captura _ _ cont

de:wirf _ _ ca:llança _ _ es:lanzar _ _ fr:lance _ _ pt:lança _ _ catchtag

pt:o texto multilinha _ Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.

pt:o texto de _ antes de _ Reports the character position (starting from 1) of the beginning of the first input string inside the second input string. If it's not found, reports 0.

pt:a posição de _ em _ If input is TRUE, comparisons made by functions in the string library will be case-independent (so "FOO" = "foo"). This is the default. If input is FALSE, comparisons will be exact.

pt:altera comparações ignorando distinção minúsculas/maiúsculas para _ Reports the portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1). If the third input is empty, reports the portion from the first position to the end of the string. If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.

pt:o texto de _ entre as posições _ e _ , inclusive Reports the input text with lower case letters instead of capital letters in the input. Uses the user's locale's rules for case conversion.

pt:em minúsculas _

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

pt:cria as variáveis _ _ ca:crea les _ variables _ es:crear las _ variables _ de:erstellen _ var _ globalglobal sprite scriptThis block reports "true" if there is a variable with this given name (input slot) in that context. It can be a global, sprite or script variable. Otherwise it reports "false".

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

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jq+kaAPN+wNy4NaRML+sCNQmDRv4R43M48C/I/BFZ81cR9gDUCccU/rPr1X67i0oiEPqYasWgSWWo8sn3Py1BZSgqC3jq6w8uYHN1AYKXWaFz9ht6tTmhXbVWnh7ZX9ZV1ruNu9P//+e+LIOCQVLXlqByzo76vUlMbq3KFX9rRQCE+qjwL+sCNQmCJJ/1LqOcV+RbkfwisuGrZnbtpBEsW132/l8t+AK+C98p03PchOv9cEdw6K8lGtiqjTLMO70VgpdbofARWzFNV6/yo+8e/fi9cYHX9MFaeb9iHR4f6ufZku/RRsRGuEqsI41cRhrKezDfk/iWUyYL8D4EVWiHT8oUILImeL30UqtyxWP+tX9UnfBTqJZ/+0c7Qk7+y2wb8IbBSa3S5AmvdRyn14VFQvOoyVmBVf5nlCJqnvKKNqq3GjISVXjQ2fqGtb7JP1BT56+zk3srHQpkr39D7l1AWC/I/BFZohaQILNlqCPe+x99c9I+npvyURP+ATwtdOFtM+VVT24BiBFZqjS5ZYG2YvfWh77ruMVtKKQKrLmg+lk5VIFBeLL2dUxFj4Kd+7qH78NTknV4ZT1jtE+XvHJXTTsTHeOX6wPuXjvkfAivGOevyhoxglXaq/C/ueEzWp0XHKzGkGji55vFUZ8yObJ/DpWvKo7yy0S9nXVMe5Z1Vawis1Brtv8CSiJePhPhLEy35IuU1UZp+fUz81FdppP6X16Yv5tDRTD/yEUH1Z+rXyj7xA7dpe3RTlX7f+r+Y70d7L3xsmUNgdbU/6KD/IbBSnTa2gZQrPiSgNEpVThcqrupVH8lS0hSR5snLa1sB7S6uQgJ2+9bBpPKft31s/aY+T2oHqM1Nf/UHW3nh27ZxNGKl6rTn3i7PXniq1v/2upJ7FLyLqt+E59tBejD8qv2aRFb1WKbqG0tUqR9Tf1Yu8pGtVte2PboJgRXe6wy1f+mo/yGwwl2zPmfDB3iPf4A26z5Ak4HvZZCn7qIpIjUEpVkB7XVPhMBKrdGd9n0TWP6tWtnYtCP7Dtote2AbMeKnjpx+FW7U78Ul3z5sq3bb1ut9fEp5PF8BZlD8QvdiKn0idJHPjNZc27f2rf+jf8nTv3TU/xBYqZ/jGQ1Ev07X/AN0xz9Au37lTwuyKwWWPmoKfo8NsO1bB5PKf972fesAt3msuO8li6sAttEjMDxf2ghWF/lp+xhNC/55++DmAL+xle1FPj/06cIWG+lO7Vv71v/Rv8z0lqD+pcP+h8AK6Qxm5Wk7gqUy64I89f/f9hEsnSqv4HcFwcfUUt86mFT+87bvaQc4byyUD4EdBPSRmzYtOBVVJeC9BU5GsFpAS50ibHHLhZh01P9iPt0L4dS7m6R+gCeDPAXg3U/MXjzVHNBeBwuBldeFUus39mnUAb7jMXhbCxxabNMQez/yQ2BIBPrW/9G/DMn7irjpylnACKzU6s3RQKpBnnqelIDPvnUwqfznbZ+jfmOesVwJ84vPfEWWi6wjkRuNxtyLvBAYGoG+9X/0L8PyQARW5vpcdANpevy+dTBN77Ps68uoX4ksrSJ957fFDtf/MrGTu0a2qudSLpsR94eAfqrrWKdlp771f/QveTymo/7XgRaRh+/SSllGA5n1sn3rYJZWcYE3Xlb9qh4lsn7zZz/s2aeLy0Bgias/eTDxg4eIrMAqJNucCegrsn+f2bcOL19k9a3/o39Jd84O+x8CK7V6l9VApj133zqYVP7ztl92/Sp4s7rKSvX72XWzP94sljeTILBsAjrm5ttHzZ45Pv+dyJvetW/9H/1LU402X++w/yGwmqtvdo5lN5DJp+tbB5PKf972Xa7fz11kSYCRILAsAhL/T7m4etrF1WkEVnQ10L9EI9th0HH/Q2ClVa8ZDSSVYLftO96A7Y03acPd9qBhP12X+79rPtLb9fYBv7T20XF+dM5p1bt8gcUUUmoNNtt3eAi68x+QZrrk6DOBjn/gOt8+4Jfm/R3nh8BKq97lCSyCoFNrLty+w0GUnf+AhFMmZx8JdPwD1/n2Ab80r+84PwRWWvUuR2CxjD+11uLtO7oMuPMfkHjSWPSJQMc/cJ1vH/BL8/aO80NgpVXv4gUWG1Gm1li/7VnE0O/6G9rTN33g1F/d/brY4bpM+uoceiJ8xaFsVUZ177e9XojKmPyC9a19NPEL8Zcxb1TdxG/J/ofACnHgWXmaKji1/El7jlLJTbRf5fXtA9IvujxtLIGG/m/l4aZtXPnU7Ku7j88q1MKRl0+bPXmoWWTJ32X73tXHK2a1oalsz3kZkwdF9619pH4/xn7UWsf9D4EV26FM5k9tILH3H+phnbEcFp2/o4eJdn4KZNH1xP0WS2BG/7fiw0tHbL/dun7DNi77+ZraOLdMx/0IqPPPmR3zv2cl2Vz+2Ox6xVY2slUZk2lMAkvi6v662UVne/uB2WvPFzTe/tDs8H6zC2fNDqzuHuXbZjb0w7K74H8IrNTuCIGVSrD79hJXv7xm9mffQT30iJoVb1on/Ff2D5/Z/Ss74I33+sdpzVbtjq3bo+pN+/YBCXhXsvSYQNMIgvvxxiNvP1/6KNT7fr7m9XvFdKGm+NQ+XvL2cfzg7pEs5VFe2ci2tFFe2chWZYxVYIlHlalWOr++LbDecoGlTYhnsBpM/9Jx/0NgpfZtfRNYEghqfJND6205jKW8//PO/uLvioO4Q0RW6C/0GdwH8QuzrV9h1w8Cof1fdbRFU35K+vpohEUjLZryqybl0ciMRmjK9qY8DaMyW0Lsqu9/9Xv/M+R9sDSip5G9clRQZ5ZWBZZmOpRmjPYNon/puP8hsFK7sdAKTr1PaZ86RXjHg0V/9QezF54yO+rDyHW/AmOedSzlqeO+6cPwiifRL0edCViXxFNcz515HGNSDUJN5d23D0iML5G3fwRi+r8yXkht6Ja3JfmyvkAn14r2csTbjZKuKc8XdwpxpTaja8qjvLO+Wn1rHzH8xKbaD0mEliN7ElKvulBVurQ9HVte24pXc3Yh/f2Q+S3B/xBYqV1abANJvV+qwFLnpV+GqvmQDqvpecdUXrmCU9OFGsmqS2u+sulHPoWhD4I+DJNBqLqekvrWAaa8K7bdJxDb/yEQdtZpDL8lCITOx3jG8FuCQEVgpXZhsRWcer8cAusdn+qSMAoZcm96XpUzpvLUyT3cHn6vZeNNatXjIZTqglAVfJqSEFgp9LDNTaBt/5dhiqv2VfrWPkL5McVa77mh/CatF+R/CKzUDqdtBbe977rHT2kI+C8ecK3O5KgPDf/r9/yj7nPwIakqiDTC0hQ02lTm2Mpr4lFenxaEisAKJUi+PhBo2/8lBmlPRTNEgTXJikUCj6u/4/6HwErtxNpWcMp9q0uXYwWWlvP+pwdHKmi7TLOWPTc959jKa+JRXr/tsW4SwloJpVQGoSKwQgmSrw8EUvq/xG0GRjOCNTnaohcPXUTDNhfTW9EC/A+BldqJpXQw1XvX7Thbva7N9Q75ihuNOpWb7ykQVP//n/8+fASraqug7TaBkNXnGlt5of5SHdlDYIVSI1/fCKT2f2yUuWmnjps97X9O+5/JRTDaIuaKb7LKRq31LaPj/ofASu3QUitY9y8DP3/uDWla8LT2OXnZdy4uV9HIRh/x//6T2Q88qLqM+wl5n9K27UqdyXuMrbwQxgisEErk6TuBXP2f+r2D/gNSqfx3mxW3Q5sirPvhra82Rw0VvtJx/0NgpXZwOSo4dI+luqB0/cJpu6dV271mpjEbW3mzfAeBldqysO8DgRz9X873HJrAyskmpCz4hVCanmeCHwIrDWeaglZlaI5cuxUraL1pA8scQenV99X92+yWPI3Z2MpDYKW2Huz7TgCBlVaD8Bs0PwRWWvWmCSxt0qktDkJ3B9ezqsYUlP7Ks2apeyqV7y6R9+4nfp6VP0+Oe4ytvDofYgQrtWVh3wcCCIS0WoLfoPkhsNKqN01gacTnrjasbBq6mnhIBbYrXqFNjELd++o5tkRe5TlS7jG28hBYqa0I+74SQCCk1Rz8Bs0PgZVWvWkCK/XeuezHJohyv29dPWh08r/+9/HUL9s05PJWyukSAQRCWm3Ab9D8EFhp1TsMgTW2Kb3c71vnQxoM1H3e+W0xOrhv+zBW9sFKbXHYd4kAAiGtNuA3aH4IrLTq7bfAGltQeu73bfKd6iIGLSZ47XkzBFYTNa73iQACIa224DdofgistOrtt8Aa27YKud831He0DYcWEVz4rgssDnsOxUa+HhBAIKRVEvwGzQ+BlVa9/RRYY9sYNPf7xvpMGfOVY2FC3/apiWVF/n4RaBIIbJQ5uz6b+IV4Q7V/UX42an1Mbcn+h8AKceBZeXI0kNRniLEf29E2ud83hvU88iKw5kGVMtsSaOr/OOplvgKLo4Y6fdQQAqttx1LaNXUwqeXnth/b4cy53zd3fcSWh8CKJUb+eRII6f84rHh6DYTwm2a9gMOK7Y03u60RQvgt0f+6DW+eHUOuskMqONe9cpRT3QAzx87wYysvRx2klIHASqGHbW4CIf2ffPbLu8WJFVrsof9W33PikNlLfo7q8YO79/RruyClb+0jhF9dnU0y1Vm1r/siGqW3PjTb8CPUxFV8xTl0z8Qh8lui/yGwUjuctg0k9b5t7auCqO5sw9hyx1ZeLJ/c+fvWAeZ+f8rrFoHQ/q862qLFJkr6+hzwDZMvnDVTX1RNbRek9K19hPKbrPXJUZlyn71SYK1vFBY69eP8cy62/O+QNFR+S/I/BFaI083K07aBpN63rb0E0cWPis7t3Bmzk2vFv9umsZXXllMuu751gLnem3K6SSCm/yvjha58aqZ+Q76svkd9kPqiI/uLd9Q15fniTnHIhUZfdC2kv+pb+4jhJzZ6v5vbfCRCy9FACalXXagqXfL+XXvwldckXsXuqDNsGskaMr8l+F/Kp7WbDX7RTxXbQDI/317voR7FHLWjHcZ/9QdbeeHbtnHUtwxoanBNz7tdnr3wVG0DHtzzNfGY9/W+dYDz5kH5yyUQ2/8hEHbWVwy/JQiEQcRgVYkv2P8QWKndU0wDSb3XhP0eF1eHbdVu27pLrMDzDD3bysamHdl30G7ZA9sItZv27Lqt5vv3eQzAGJ4vcx1GF4fAikaGwRwJNPR/6qNq+yamuIpKCf1+LGmKq+8Ca9n+h8BK7XtCG0jqfabYR48QbZez4h1fsrgKeKehPl/Aq88nCwJrPlwptR2BGf2f2v6a/wC84z8Ad42yE6QdLrDmFKS9snfv7m9A3/qXjvsfAqtdt/LYaskCK/Xxse8Zgb51gD3Dy+NGEmg7gqXbsM1A2AjWHLYZWDl/1o4cP7Z7FqNv/UvH/Q+BFdmf7MqOwEoliH0Mgb51gDHvRt7+EUjt/9goc2kbZa544PvGvgkJ0Lf+peP+h8BK7dJSKzj1/tiPi0DfOsBx1c743jZH/yefLo93EUGOennsR0s+6qXvMVhBDXKO/ofACqqBGZmqHcypY+mr8lKfB/thE1BncO2G2e+v+9/+p+s7LQ+7Nni7HAIrJ8W+/QCBX1rtd5wfAiuteos59KePm33jsG+aty+1NOwh0Ezg/kOzv9wuRBYCq5kXOeZHoOMfuM63D/il+WbH+SGw0qq3EFhPHfW9D3ybAmim0sQ+hEC5NcbnNxFYIbzIMz8CHf/AIbAiq54RwEhgE9kn+CEJ0nCa/ewnm1viigSBRRPQ/mM//Tfa8KK5c7/HBBBYad4Av0Hzo3NOq16sIQABCIyXAAIhre7hN2h+CKy06sUaAhCAwHgJIBDS6h5+g+aHwEqrXqwhAAEIjJcAAiGt7uE3aH4IrLTqxRoCEIDAeAkgENLqHn6D5ofASqterCEAAQiMl0CTQGCjzNm+0cQvxLPmuFFm71dhLtn/EFghDkweCEAAAhDYTaBBIKw83LSNK5+afXXXzx7U187TPl91/fJpsycPNW/MLPEg2/eumj30VbNKe/yzJdtzXobKqqaxbTPAUUMzjxpatv8hsOg0IQABCECgHYG2w2ifAAAgAElEQVQZAmvFNwY8Yvvt1vUbtnH5I7Mb9x/f4/gBs/PPmR3zv2cl2Vz+2EwHHpdJNrJVGZNpTAIr8bDsPV4/m1snblfSgPh1wf8QWO26FawgAAEIQKBpBMs/4huPfOTpSx+Fev8zF0r3zPQR3+ufnhM+CvXSMy6UDu4eyVIe5ZWNbEsb5ZWNbFXGWAWWeFSZai/G158vaLz1oTn0gusUVnu9XtZs1e7Yuj2qiqwBCSyhkMhapv8hsOgiIQABCECgHYHQGKLqaIum/JT09TmwanbhbDHlV03Kc9FHve6v+9Ti9gXlUV7ZTPtyDUwgTK0UjehpZK8cFVxd2Smw1jcK0xmjfUMfwdrBbkn+h8Bq161gBQEIQAACoQJLpMp4IcVk3XpQjErpC3RyzeOpzpgd2V/w1DXl+eJOYaORKl1THuWd9dUausDS+93c5iMRWo7sSUi96uJT6dL2dGx5bStezdkddYZ1o35VLx4yvyX4HwKLLhICEIAABNoRiBFYugMCYSfnGH5LEAi9X0U46dUL9j8EVrtuBSsIQAACEIgRCFVaGaa4auEPdQRmSVNcgxNYpdMsyP8QWHSREIAABCDQjkBbgZUYpD31YYcosCZZsUjgcfV33P8QWO26FawgAAEIQKDtB07kErcZGM0I1uRoi16cbS6K6u+4/yGw6CIhAAEIQKAdgZQPXCmyFMz+wTWzV54tnuHdT8xePNUc0F73xEMbwdLmqld8k1U2aq33z477HwKrXbeCFQQgAAEIpH7gRJCjXsyePm522v9MrvJb8lEvg43BqrbcOfofAosuEgIQgAAE2hHIIbDa3bneamgjWDnZhJQFvxBK0/NM8ENgpeHEGgIQgMB4CSCw0uoefoPmh8BKq16sIQABCIyXAAIhre7hN2h+CKy06sUaAhCAwHgJIBDS6h5+g+aHwEqrXqwhAAEIjJcAAiGt7uE3aH4IrLTqxRoCEIDAeAkgENLqHn6D5ofASqterCEAAQiMlwACIa3u4TdofgistOrFGgIQgMB4CSAQ0uoefoPmh8BKq16sIQABCIyXQJNAYKPM2b7RxC/Es+a4UWbvNxpdsv8hsEIcmDwQgAAEILCbQJNA4KiX+QosCQiOGpq+E/6S/Q+BRacJAQhAAALtCDQJLJXKYcXT2Ybwm2bNYdlhhz0v0f8QWO26FawgAAEIQCBEIGgK68u7Zu9/5mLrXnH2oM7cO3HI7KVnzI4f3H0Gn/Ior2xkW9oor2xkO3lun2pjLEe9TDJd2Wv2+vOFP771odmGHxLdxKrOe4fIb4n+h8Cii4QABCAAgXYEQgSWSq6OtnzlgklJX58Dq2YXzpo96YKpmpTn4kdm99cLWyXlUV7ZTPtyDVEg1NXM5KjM6spOgbW+UVgdO2B2/jkXW/53SBoqvyX5HwIrxOnIAwEIQAACuwmECqxSZCle6MqnZrceFKNN+gKdXDM7d8bsyP6ifF1THuXVh1EjVbqmPMo766s1VIFQktf73dzmIxFajuxJSL3q4lPpkgvTG/cfX5MwFbujzrBu1K9aq0PmV8arLdD/EFh0mhCAAAQg0I5AjMDSHRAIOznH8FuCQOj9KsJJr16w/yGw2nUrWEEAAhCAQINA2OPDTZt/neOr4GKKq4ARKrCWNMXVd4G1bP9DYNFFQgACEIBAOwIzBMJeF1drtmp3bN0eTYosgrTDBdacgrRX9u61jbp6uXrd7Pf+55r/eePNbmuEjvtft+G1a/JYQQACEIDAIgi0HcHSs7HNQNgI1hy2GVg5f9aOHD9mt+zBTpE1sBisqSNYC/I/BNYiOiHuAQEIQGCIBEKnuKa9Oxtlbtqp40vZKHPFA9839k1IgIEJrMYmN2f/Q2A11gAZIAABCECglkCqwFKhHPUyXWAt+aiXPk8RBrfYOfofAiu4FsgIAQhAAAI7COQQWDmRjm0EJie7UuwOJAYrN5qg8ib8D4EVRI1MEIAABCCwiwACK80p4DdofgistOrFGgIQgMB4CSAQ0uoefoPmh8BKq16sIQABCIyXAAIhre7hN2h+3RdYP/vJpukgS9LwCOhA0p/+W/d9cHjkF/dGtN/2rPvQProsED6/afbQ+5gup33+bXvq6PQg90U/OzFsacR7F4OlBiwHlMjiU5xW+V2x1soYfTzUAXZ9I7uuMOvrc9B+42uuT+1j2QJLAkoipUz6wH3mG2T+0fsW9TF9SPq2fdu/cc/4dg1NZwXO+30QWGmEeymwnnbH+8ZhP0V9X9rLY90NAvcfmv3ldrFbMAKrG3Uyr6fQB5j2G0e3T+1jWQJLHzIdaPybP5v94NRjkbXp//9P3rc88D5GQrUPSQMH+/3b9i3/xu1Z8igCAivNY3opsMqN2E4dW77CT8OPtRzw2o3+HMVAjaURqH6Aab/NLPvWPpYhsCScJK7e+a3Z6orZv3yv+LtMEll9EVflM0tXLVtc6VkQWM1tdFaOXgus0x0YQk3Dj3XfGjA1lkZgGR/gtCdernXf2sei61fC6cu7Zr/4zP++Y3bkgNm/Tgis5dZgv+8+NP9b8katSx6PDPDFRTfggEciSwKBvjXghFfF1AnQfuPcoG/tY9H1u77hI1cfmX3h4kojVUcRWHEO1pB7YP638nDTNq58avaVi3L5i5Ji9l4+bfbkoeYZMfGQ7XtXHy+Y0EijbM95GdX4v5oRQARWVu+ksEYCfWvAjS9EhpkEFv0B7nt19K19LLp+JbDe+tDs9oOipocisBSsXwqAYB/2z/dq+xX2tQchD8j/VnxV3BHbb7eu37CNyy7KNa1cpuMuzM8/Z3bM/56VZHP5YzMduF0m2chWZUwmpgiDvTc5416v4EcLCAaQI220uM+inm8HyL414GQvGHkBi/4AZ8RN+wiAuej6HaLAkrj65TWzP3twfmjs2IqLqxM+ivLDZ3aPogRUm3x7zVbtjq3v/Eb1rX9u8L+tb+Mj56tp5fd9Wvn6vSLOTKs1xe8l53f84O6RLOVRXtnItrRRXtnItm7FJwIrwPsyZNGvg8PuwLfdgTfrWo0aVYatJ/6q0h/esw01usAxycbny8Cgtoi+NeB5cRhLuYv+AGfiSvsIBLno+k0VWOUWGJNTO4GvuytbrvL+zz/mF39ndm89TGSFjsDMeK+hj2DteHXV031ne9FHsjTlp6Rv5YFVswtniym/alIe5ZVNKXqVR3llM+07i8Bq25Li7Wp/AasCbvrw9q8/N/v+d8zWnogvuGrh5a3c/No2fv3H6PL4hZ6GHusAAov+AAc8UmgW2kcAqUXXb6rAuvO12a/+YPbCUz69uL85BqcJQa7yyu+C4oU0YjJtulCjJnruc2cexxDJVsLsoH/4U/fR6tsP4Bj/k1BS7J4Y3/JvsN5VQunkWsHziHNV0jXl2Yrz8/8WU11THuWdNYiBwGpqMXO8Xq1g/VtquKzUNrfNXV6bZ4i16VsDjn0/8u8kENMBwo5l8k0+kCqw9PHUyIQ+kiEfzKbnyVleuUJS04USTHVJP8h/5FNU+m7ow19+Az5wm1eezfKD3a76/oTao/BaD/YpjO1fqkJWo1Tl1J/iql7177HSpe14rfLaVkC7i6sQQY7Aamoxc7o+OUSpBvLj77YXWLnLm9Nr7yoWgbUo0t24T2wH2I2nXt5T9K19LLp+cwisd3wqTsIoZMqnyRNUTs7y1K8/9ED+qakS2F79Bijo/7XnzQ5vj8I0Pfe062PxPwWtK3i9DHzXPmqvOz8lLaKQnynNCmivY4jAaut5CXaCPhlklyKwcpeX8GrRpn1rwNEviMEOAov+APcdf9/ax6Lrd91jVzXCoJMgxCp2FWFVEGkEqCloucmfcpfXdL/y+uQ3QPG8EggIrDCC0/iVAkvHLLXxDQRWGP+suSbVsgr/G1+N8E++1LNNg8hdXtaXbSisbx+QRbIZ4r0W/QHuO8O+tY9l1G916XyswNJIz3/6yIWCyssUO0pR9bHc5YX6722PJZPQ1Eo3pXIEps33pHrPMflf3QigWLztI1ji2BTQXldXCKxQD86Qb9p872SQYuitcpcXet+c+frWgHO++xjLWsYHuM+c+9Y+ctVv3Y7b1XrU5o6HtoO4xUjxMwpE1v//57/feVTOrPqv2mqxUZs4m0lBUj5LjvJCfbc6cobAsq3zTtuc9DIZwyaW735i9qKfb9kU0I7AqiGQc8XFrMYQsmIhZsVH7vJCG3LufH37gOR+/7GVl+sDXHJbVPtdVj31rX3kqN/yh+PPfbfsacHdmgJ72XfOLj96spHI+O8/+WHPHvQds+Fmadt2pdikb+QuL8T3EFgFpVz+V67CVJkpKzJHP4KloVXtN6IVF5qmm0eK3XOj6Rlyl9d0v3le79sHZJ4sxlB2jg6wymkR7XeZ9dK39pGjfkP3gKoLStd+gm33tGq719E0/8hd3iw/RGDlE1g52zsCy3/1aI61DGDT/HvMSFJTZdQFoDftGjurzNzlNT3/vK/37QMybx5DLz/HB3iHwJpz+112ffStfaTUr95V8VTaLVtB6+WGjtPqIEdQerVs3b/Nbt3Tni93eQis5taY4n/NpcfnQGB5B61lmFoKq43Zfvx3xVLMwB3QG4lr4znN4arjKDuMw753iUbMms49qis8d3mNLzDnDH37gMwZx+CLz90BKqh4nu132RXSt/aRUr/q27TFQeju5aob9dPqR3Ps+VTWtfpq9dkaHc1xj9zl1fkkI1iMYGXpq1IacN0DlB209rlQY/3GYbN//Nv0DdrKe5UxItWdeBWI2XaX3dzlZamUhEL69gFJeFVMnUDf2u+yK61v7SOlfvWud7WhZtPQ1USlpPSndfWbu4/NXR4Ca3qrTPG/ebR1RrC2fwGXG4ml7Ec1lMZa1yEEOV9lZU9Qfs/Utw9I6HuRr55A7g6w+gNJd8zdfkPbdFB9j6B95K7fIK6ZM+UWRLnLq3tdjf791/8+nlplm4Z2qwgzu9Lk9y3XxFjux3xcXu4GPO8OOveUXu7ypjXWyWnNphqV52xNsfpu9DHnKSKwmsgO63rf2i/tI87/ctdv3N3z5M49pZe7vLq31KCf7vPOb4sp1n3bO5GzD1Yen2hbCiNYCxjBmty1vetB7nWB9LMcrJxafcmXR8cuEkBgtW26/bTL/QGe9w+kaSNYk22a9lEQyF2/i/Ty3EHpuctrYlFdJKBgfY7KybtgrYn/tL6icpYjI1jzmGLIva1C7vJKx6guca67R50DlSNXF3zkqs02FwisNs22vza5P8CLFFi0j2a/y12/zXfMlyP3tgq5ywt9U21zoRkI9claUJWS+tY/d83/GMGa8whW6dy5NwbNXZ7O9PqlL4/+h2/tPpn9Pd/wT2cx1SVNC/7IN/wLOVk8QOHbG292X+SndFhjt83dAS5KYNE+wjw3d/2G3TUtlz6CWoXX541GqwTKmK+2C6kmy6qMwHS+f27yv7oTAvTFOeRCNHR7pq3FGB7zVl2LIVuVMfn1QmAtSGDJaQVbxyeoIevXjf5bFdOFo3IU5P8f/+NO48907kxxsryerVzZU10FWW2A0xwrtMvr2y+k0PciXz2Bpg4wltvCBBbtI6hqctdv0E0TMqn/yXm0Te7yEl4ti2nf+ucm/9Mo9BUfMFCdl980bUz7sg8SlN+8WeDK+tWgg8pS0ipW2Z7zMiY3uUVgTQgsbTj66tn0odVZlZT7cOYc5Ulg/ftvXAB6oORx31fmvB883WafrthW3bcGHPt+5N9JoKkDjOU1KbDm1X5pH2E1k7t+w+7aPlfuw5lzl9f+zfJY9q1/DvG/uu9l6DeverB4SXjW4eAIrG2BpSmwcjf3E9ujN3lcdHcpdUHkKbFfOcqrfkA0KqX9wCQ0Y870asOrbw24zTti85hASAcYw6sUWPNuv7SPsFrJXb9hd22fq7pBZ46d4XOX1/7N8lj2rX8O8b+672XTwrO2CxYQWNtHbWg56wUXFAc8pqicR1XcxaxN77QUtm3E0GQQeYrAUlNKLa/6AVF54vH68+Gn0rdtzn1rwG3fE7uCQEgHGMNKAktHXc27/dI+wmold/2G3bV9rqogqjvbMLbk3OXF3j93/r71z6H+F7tQrO2ChdELrHJfqRdP7T6Z/ece9K3rdUkBhD9wG412pYisL+4UMVmqcAk8Ca22qRr4HlseH5C21LGLIRDaAYaWuaj2S/sIq5Hc9Rt21/a5JIguflT04Yo9PbnWvj/XU+Qur/2b5bEcqsASnZCFYmWdtl0AMXqBNbnioi5Isc5VFdgmcaVG2XYFncotA99//bnZ978Tt0ln3XO1LY8PSJ4OiVJmE8j9AV5U+6V9hHl27voNu+tfc+11pfQo5qgdCfRf/cFWXvi2bRyNWEk27bm2y7MXnqr9LkQ/X+T7Z88+ZIFV/f5OLjxTXJVCZJQuuQBX7FW5KG0roD3wuz80gbXHG9hmTAOb9Mi6ILZpXpu6B1S1XK1IWPHVDG1HwyafMbY8PiDZ+yYKrCHQ8AHubPulfYS58xIFlnznsK3abVsP/wb4KMbKxqYd2XfQbtkD20j5dpSjIooHnFxN5tdaPV8Y9fnlGpjAmtq/TAa+l0cNiawOky+P0psV0D5twGMoG43q18GaN7A73sCifsWUYCRKfuHTgtql2RtdUJIg+qYHhGu6sKZRBZXRhUx8QLpQC8N/hhkf4E63X9pHmG8uUWDpAduOEK34tyNZXAUQavt8AUXPJ8uABNbM/mUy8F2DHYpBLgVW20U0jGBN+GVTYHudG2u6sM/iSu/EB2Q+HRSl7iQw7xGsebVf2keYJy9ZYIU9JLmCCQxIYOmdZ46QVwPftXhGRw0pTVtEEwJxaAIr5J3JU0Og+gGRYFSw54+1TYOvlJxn6lsDnieLMZTd1w8w7SPMO/tav2FvN75cfeufU/2vDHz/4JrZK88W9a1jh6qL4GK8AIEVQ2vAecsPyC0P5jvh4uqHfnBzygrJUFR9a8Ch70W+egKpHeCyuNI+wsj3tX7D3m58ufrWP+fwv+rCGdX4vXWztscOIbAytBltuR8YspXhbnmKUOyYRqrKpA/I//Od3PX3j/+u2MU9V8D9rCfuWwPOQ3+8peToAHPTq2u/tI92lKv1e+pY+Plu7e6G1bwJqH++dsPs99f9b//T9bNiu9a/ILASPVSd859umz142B+RpY/H/n1m3/Lg/FJkKcD/lz4s+r1vFuIq9ODLRHxbS1/7dJho6vuO3b5rHWBd+6V9tPdS1e/Tx4uTIA54H0PqP4H7/m37i3/jJLIQWHH1icCK47UrtwB+5o73x5u+8nD78MfEIudurhUS3z5q9ox3hFUhJZG16GB9BNbcq7tTN+iawKprv7SP9i6j+n3K+5acW860fxoscxDQ7Iy+bZ/7Nw6BFUcUgRXHq1ZglSMwcsDyhO3EYudmLgGlDlC/Mk9PCKy53XRGwQisZVBf3j27KLCq7VdkaB/t/eNnP9ncElek4RGQyPrpvy0icKQ9uy73Lz7F2m14wt5xgCj8yLZRFVh9EKiRr0f2CQJdF/h63FP+w4MfILguBPpHoOP6AIEV61J9G4HpogP2bYo11kfIv5NAl6fgEFh4KwT6S6CL37eh7OS+FK9AYKVh7+MigbQ3xrrLQeQILPwTAv0lgMBKrLuOA2SKsEX99nGbixaviUmFQFe3QUBg4aYQ6C+BjuuD/k8RasXDXT8hXSNLZdJbHYo4KV22KqO6t5VW26mMSUKMYPW3MfLk3SHQlY08cwisOW5U2PkfcN3xKJ5kjASaBNaS9UHvBdbKw03buPKp2Vd+YLNGRpQUWPvyabMnDzXv76TOUbbvXX28IlB7Rcn2nJcxuY0BAmuMzZh3zk2gK0fRpAqsOR+1gcDK7XiUNygCDQJr2fqg1wJLJ6Ifsf126/oN27j8kdkNP/alTMd988zzzxWbaM5Ksrn8sdn1iq1sZKsyJtPABNbMwzBDWuK8DtsNuTd5+kugK4cppwisxMNia9te3/qX/nogTz4EAjMEVhf0Qa8FlvxDEDce+X4dX/oo1PufuVC6V0wXaopPZ+u95GfsHT+4eyRLeZRXNrItbZRXNrKt2928bx3gDAfc6+zWbNXu2Lo9anP2j/YA+8U2v43As4Pkcd/0XZ9/cKpxk1M9X6vniuw4tnyoxfvzfAXoVvz6LrDUD1T7HK2UfP35AshbHxYbNc7oS6a2vb71L5FtjewQyEqgaQRryfqg9wLrr5VV/TWpKT8lvd2BVbMLZ4spv2pSnos+6nXfD3YstYHyKK9sppHpWwfY4IDJI1h1I4DTWpCY6hDNC981+xsXsjOSnuuwi7/bLv4268SPxF2G3aP/+ivn4T3bWPEHDGwRPN9jcbU1ihzJb+sMzH/3szBvbo8cH95fCJTVlaz9767CJtuvMrTZB0sj3hr5LkfN9dxVgaX3U5oxGs4I1nyrmtJHQKApBqtEsCR9EPg5WWJFhQLUI5bxEIrJuvWgGJXSG55c83iqM2ZHvBNX0jXl+eJOYaORKl1THuWdRWVgAiu6ZqsBveJWxrCJ581t5nWFKq5No4JifNRZB5x9WDtCpPvpPr/+3Oz73zFb84UIKcnLW7n5tW38+o/R5fF8Dr4tv74KrNL/yrjPcuRbQupV/3GmdGk7XKG8thXPGej3fetfUtoethBIJdBxfTAsgaXKogPc6bIxDhji7Hd8teW7n5i96FN8pRgVc4nWn/t0oa7XJY1caVpQIqut11UFtP6t0cZSNIc8+2Qeylsevz4KLH7AtWll2EBgfgRiv28L1gdtP3XzAzZZcizA0j7DEH7tS/btF2ZbftNq+LYLqbc9xkRTOpPTqU0B7/t8GqWtx00O8UpY/dinGtsKLMpbLr++CawlTTGwinBxnxru1EMCbb9vC9IHbT93i6uJtgATg1CnviACKyiIN6uDTNal/jtFYFHe8vlVBZami7/hCx80xbY654OD28Rg1fkLi2iyNnEKg0ArAh3XB8MVWKqtxGXUjGDVENAIllZJlUG8WimlD+PhxFioWa1r8teG8ipI/p98Kw2NpMUmyls+v6rACt1SJbae6/K3EVh1/hL6zEPfBiZHnVAGBNoSaCuwFqQPhi2wSogKZv/gmtkrzxbVOBlDFFO5jGDtFFgpI0lN3KfNlytIXkHDIRvJVu9BecXigi7wk8D6j/8pNgeu1qXq6K5W9k7Z9mPaCQtNvlRejxVYWq16xTchZiPjUMLkg8DiCKQIrAXog+ELLEGsrnzTf9/zDlxB1wEr2XZ5CgJrMQIrJKA4pv4ob/eK2mXyU7zeL31RxD98q5iu1LOUdaRTFbSPVF1Su/2Rn7AQuBK1sf0qw6xtGvRMHMW1uA8md4JADIFUgTVnfTAOgRVTYU15EVjzF1ixAcVNdUZ5s/eEWzS/8n4aHSqPoqqro7rnithLrfa1Ykewmtjkvt63/iX3+1MeBGII5BBYMfdryjvRfhFYTcAmr/etA8ztgJMxWLmnCNsEFM+qQ8prPtVgkfzq7lVXR7OeSb2WguJ14oL2n4oZiUNgxfZ45IdAdwnk/r6lvikCK5EgAmu+I1jlPlsKDi7DcBRAr/i5pnMl66qW8ooFCF3hF1pHTc20HMnSVh0xm80isJrIch0C/SGAwEqsq44D7Pw+Nbn5LWIESzFy1SBn7QKfEjNHed3hN20Ea7KOgroN94tDkbGUCKwgsmSCQC8I5P6+pb40I1iJBBnBejyCVU7V/OPfxo0iNE1JIYi6I4jKBSK5BG9i80s2R2AlI6QACHSGAAIrsSo6DnC0I1gPfZm9RpV+/HfF1F2uaD6m9Lo1pZe7PhK7g2RzBFYyQgqAQGcIdFwf5Poszo93xwGOUmDpqBxtMNomyLjJUwhK71ZQeu76aKr/eV9HYM2bMOVDYHEEOq4PEFixrjD6KUI/zPni74qgae2mPo/Etgrd2lYhd33Mw2dCy0RghZIiHwS6TwCBlVhHTQDZCHA24CZ+sdVT3bQ1Znl87H3YGLRbG4Pmro9Yf8iVfx4Ca8wbGeeqF8qBQBsCTd+3JeuD/o9gcZTFYgVWm0bQ1oajbbpztI3qMHd9tPWLFLvcAqsUnmM9iiulLrCFQCqBJoG1ZH3Qf4GlCuIw1ulu2uSAqQ6+CHsOZ17+4czVes5dH4vwofIeOQUWh8kvsua4FwR2Ewj5vi1RHwxDYLUJxJXN9Xtm7/t5aF/eLX6da8qrDN4+cah+h+ixx2Ato5HX1W/KDvKUV5z/p0069Xdsys0v9v4p+XMJrEkGK3vNXn++eLK3fBGIzlJs6kvq3qNv/UtKXWALgVQCIQJrifpgGAJLlRQbiPuVi6qLH5nd16aW27X8pIuqC2fNDvj2A9PI9K0DDHHAVCdfhP1k/aYIhDp/oby4WsxdH3F3b587l8Ca/FW8urJTYK37NiZK2sLk/HMutvzvkNS3/iXkncgDgXkRCP2+LUkfDEdglR/NL+6YXfnU7NaDYlRKb3hyzezcmce/1nVNeZRX4DVypQ+s8ijvLCp96wBDHXBeDSBnudVAa/1bYrjNCEz5TJTXLX45fWVaWakCa1ocmoTUq+6PSpf8h5uOeipHxfXDTX3LUe9jmhaG9K1/WUSdcQ8ITCMQ830LWaij+2TUB8MSWIJDB7jTFWMcsA/NuKzfX39u9v3vpO8gT3lptZ7Ab6//knn01+HjtMcItk4RWEvooDu/z14weDJCYA4EYr9vC9YHvRdYe7yT3qzrpBnCL7w51gHn0AbmUqRWhyjuJZcHU15aNUXyU7s9bKt229br22/a00y3biuwljTFgMCalyNQ7iAINHzflq0Pcn2e5ldXMwDqF/Cad9J3vJPe9UuYINRhC6z5eRwlL4hAb0aw5hQku7J3r21M/jhkinBB3sdtBkGg4/qg1wJLDjJVoeoiy6iHO4I1iN6Bl1g4gTYjWHNY5r1y/qwdOX7MbtmDnSILgbVwl+CGPcw7xZEAACAASURBVCbQdgRrQfqg9wKr0TXGvhHgUKcIGyueDBCoIRArsOa4UeGKB75v7JvoghFYuC0Ewgmkft/mrA+GL7BUVeq07vl2DAd9+wWl8t9NK3rqqrlvHWCqA4a7Ojkh0H0CsQJryUdtEIPVfZfiCZdIIMf3bY76YBwCK2f991lgnTrWvEw8JyvKgkDXCKj9Xrth9vvr/rf/UTp13Oxp/3Pa/7T50ZXzHfvWv+R8d8qCQCyBHAIr9p6z8k+0XwRWLNy+dYByQH08vnHYN1DdF/u25IfA8Ajcf2j2l9uFyEJgDa9+eaPxEEBgJdZ1xwF2fghf/J46mndLg8QqxRwCSyWgaT8dZfP5TQTWUiuCm0MgkUDH9QEjWLH127cRrJ/9ZHNrvygSBCCwk4BEltoGU4R4BgT6SQCBlVhvHQfY+RGsRPyYQ2DQBLrcv2iETasYSRCAQD2Bff4DSTM0HY2hZAQr1nH7NoIV+37kh8CYCHRRYH3msWF/dHGlETYSBCAwm4BGob/tIuuZiUUq+nEiAbbIRJB7Im0EViJAzCHQIQJdE1ibHiD2Jw/Af+CB+IoVI0EAArMJaJhovy/g+pYv5NqzPWYkcfXLa2bf+6aZDmJf1OpgBFaityKwEgFiDoEOEeiawBIaiSzEVYechEfpPAHpqlJc6WHXN8z+32+Kv3/8d4XIWsR83eAEFhsBdt73eUAIdJZAFwVWZ2HxYBDoCQEJq393gXXrvtmJNbMfPuN/H5q/yBqawFp5uGkbVz41++pu8ctPSfOuL582e9KBNg0NCohs37v6OKBUSli257yMyTlcRrB60sJ4TAgEEEBgBUAiCwR6RqAUWDddYOl7ftJF1o/Pmq2uzPdFhiSwVnzM74jtt1vXb9jG5Y/MbjjMMh33IcHzzxVDg7OSbC5/bKYDXcskG9mqjMmEwJqvg1I6BBZJIOWw2JDnXFegeuR8nz4Iiw7ODXkX8kCgLwSqAkvPfHi/2evPI7B21V9DByiRtfHIO7EvfRTq/c9cKN0rzh7UyJWGBF/yocHjB3ePZCmP8spGtqWN8spGtnWjXwisvjQxnhMCzQRm9C97vW9Zs1W7Y+v2KFYk6c4KtP3Fdv+yESiyFCfyTQ/W/cGpRpGl52v1XM1UduTY6mNbvD/PV2CEX6TDTWRvxQ+BFQg9dAhf/dd9P9D5oo9kacpPSZ3VAT/g+YIPDWrKr5qUR3llU/Z9yqO8spkWEIfACqw4skGgBwTmPYJVN0I+DYv6HB1If+G7Zn/jP/RmpD3eQR128Xfbxd9mnfiRuNPy9cTA3r/OEjy8ZxsrXlhgeTzfY3G1NcsCv1adQVv/2wpuVwyWpgiVGMGawj9UYMlcQumLO2aKybr1oBiVUoeg+ddzZ8yO+DChkq4pj/LKRiNVuqY8yjurE0FgtWooGEGgkwRi+peQF1D/cM9/tEkoqV8pYzzV39zc7pPqytG0oEbN1Qcd9b6oKXZU3VbdCJbup/v8+nOz73/HbO2JkKeensfLW7n5tW38+o/R5fF8jhV+y/E/BFYg99gOsOxgysD3cupPcVWv+uiU0qXteK3y2lZAe2DHhsAKrDiyQaAHBGL7l6ZXuvO12bufmL3oU3zljzX1GfpR93OfLtT1uiRBpmnBlJVO1R+Y+rdG48sflU3PXXed8uAX4zdd8hcEVmDNte0AFbSu4PUy8F2rBxTkpvTWh8X+GEqzAtrrHhGBFVhxZINADwi07V+mvdptF1Jve/+iKYnJcIOmgPd93kcFTsHtuv1kiISE1Y99qrGtwKI8+MU03675CwIrsPbadoASQtXAd8UjVAWWjqFoCmhHYAVWEtkg0FMCbfuXWQJLP+Da9i9tME72dfrvFIFFefCL8cMu+ktVYGm6/Ru+cEQzWKtzPjpnSNs0NPpAVVXrl+Vr2yNY035hNhboGRjBCqFEHgj0g8C8BFY5Qq4fcerYDyfGQs2iOTlar7wKkv8n32pGI2mxifLgF+MzXfSXqsAK3bIp5p2n5R2VwBKEcl74Az+X6JVnCyyTMRIxYBFYMbTIC4FuE5i3wEoZSWoiNy3eVEHyiikN2Wi5eg/KKxYXwK/J84rrXfYXCaz/+J9i8/FqW9Az39XOAVO2TVH9H/IfQ22n6kcnsEpHKFf26L+rq3zCXOlxLgRWLDHyQ6C7BPoqsEJWTAesRPxrxVDe7hXn8JvebrvuL4p3/KUvKvmHbxXTvarL8pl1aoum8OuSFpv8yE9wCVzJu6uIUQqsnN07AisnTcqCwHIJ9FFgxe7510SY8mbvmQi/nQS67i/l02ovuPJEhLpnrqvXiL3oat0CgdXUWhquI7ASAWIOgQ4R6JvAqgsobjq1YhZuyms+9QN+O2dwYk9NWSS/unvV+fisZ5LIUlC8TnTRLgMxI5kIrMTOHYGVCBBzCHSIQN8EVrnPlrafKcNIFECv+NKmc1frsFNesQABfmGNsuv+EurjTW9bjmRpq5OYzXoRWE1kGcFKJIQ5BPpDoG8CSx24YkirQbraBb7cOT6WPOX59CD8gt2m6/4ybQRrss0EvbAC3rdPZAjK75kQWKGkpuRjBCsRIOYQ6BCBeQqscqrhH/827ldw05QKAgtBGdqEui6Icj9fKJd55UNgJZJFYCUCxBwCHSIwL4H10JeJa1Tpx39XTN21XfY9iarrUzQ8H1OOMc07t7/E3HseeRFYiVQRWIkAMYdAhwjMQ2BpI+PylIjYINkmNASlE5QeG3Td5aD03P7c1H7mfR2BlUgYgZUIEHMIdIhAdoHlhzlf/F0RNK3d1OeRur5Mnudj24cYv8/tLzH3zp13cAJLlXPXOzW9WJk0HK/dWEOV/tburl5GdXPXaTu6IrByuyTlQWB5BHILrDKmpG3QeSiJrm/0yPOxcWno91c+n9tfQttR7nyDE1jaTOyK78z61d3HK2u0udjLvhtryFERAiJb7e6qspS0qkS257yMcqOysiIQWLldkvIgsDwCuQXWIt9EfdFNP2P1yqdFH6b/5qiX8BqA37D9JdwT8uUcnMASmrrDJkMPeNR+Mpc/Lsook+ImzvtBqSpjMiGw8jkjJUFg2QT6LLBKdl08bLdarzwfh0fHtPPc/hJz79S8gxRYbQLlZHP9ntn7fl6RggDLX39lcOoJH8GqG+JEYKW6IPYQ6A6BIQisuv4v5ZBpyivOr9Mmk/o7NsGvW/xi6y8l/yAFloDEBsppSP3iR2b3tWnfNlFNC144a3bAl1dPW1aNwEpxP2wh0C0CQxBYdf1fikCgvDSBAL/u8VtUrzNYgVU69Rd3ipiEWx6boJeVUDq55vFUZx7/GtE15VFeiSuNVKlDUh7lnbVnDQJrUa7KfSAwfwJDEViT/Z/6Nf1YbDMCU1KvBh5TXrwvwq9b/hdfg/EWgxZYwjEtcFFxVa96h6N0yUeuFHtVTgtuBbS7uDrqIqtp5QMCK97psIBAVwkMSWBV+79ff272/e+k7yBf9qeU186D4deOW2mVwG+vj5Q82rE1QNqjBFkPTWDtcYibdRAnA+VWV8xef75g9JZvBLjuOy0rzQporyOKwAryMzJBoBcEhiawSuhaEb3iq6lz7SBPeWnuDL+F8pMuOGyrdtvW6/VB2tNMtx6SwJJCXXOIdxziLqU6GWiozqYqsDa8A2oKaEdgzcsNKRcC3SAwVIHVDbo8BQSWRoARrBD0DR3g1BEslV0NfL/tcVevbY9g6SiLwz4d2BTQjsAKqSHyQKC/BBBY/a07nhwCXSMwpBGsILZloOEH14rjK5Te/cTsxVPNAe0IrCDEZIJAbwkgsHpbdTw4BDpHYHQCSzWgl77n2zHo+Aql8t9NAe0IrM75Lw8EgawEEFhZcVIYBEZNYJQCK2eNE+SekyZlQWC5BKoC69Sx5lXEy31a7g4BCHSZgPTBtRtmv7/uf1/PtsZkfq/ctV+YCKz51TUlQ2DRBNS/PH3c7BuHfYPhfYu+O/eDAASGRuD+Q7O/3N4SWbkW8c4PEQJrfmwpGQJjJ6D+5amjebc0GDtT3h8CYyaguG/tUvD5TQRWtB8wghWNDAMIdJbAz36yubVfFAkCEIBATgIushjBigWKwIolRn4IQAACEIDA6AggsGKrHIEVS4z8EIAABCAAgdERQGDFVjkCK5YY+SEAAQhAAAKjI4DAiq1yBFYsMfJDAAIQgAAERkeg/wJLEft3vy42Ey2T3urQE+F72shWZVSKMG1CqjImCSGwRtdIeGEIQAACEIBALIHeC6yVh5u2ceVTs6/uukDaVkj7fFXQy6fNnjzULLIkmGT73lUznXiutMexyPacl6GyqgmBFetj5IcABCAAAQiMjkCvBdaKDy8dsf126/oN27j8kdmN+48r8PgBs/PPmR3zv2cl2Vz+2Ox6xVY2slUZkwmBNbpGwgtDAAIQgAAEYgn0WmDpZSWyNh75yNOXPgr1/mculO4V04Wa4jvho1AvPeNC6eDukSzlUV7ZyLa0UV7ZyLburEIEVqyPkR8CEIAABCAwOgK9F1h/rTHNDt73A50v+kiWpvyU9HYH/IDnC2eLKb9qUh7llU0Ze6U8yiubaWQQWKNrJLwwBCAAAQhAIJbAcASW3lxC6Ys7ZorJuvWgGJXSG55c83iqM2ZH9hd8dE15lFc2GqnSNeVR3llUEFixPkZ+CEAAAhCAwOgIDEtgqfokgG5uCyiNUpVTf4qretVHp5Qubcdrlde2AtpdXB11kVU3LVh1CwTW6BoJLwwBCEAAAhCIJTA8gVUSUNC6gtfLwPfVFbPXny+uvvWh2fpG8e9ZAe11NBFYsT5GfghAAAIQgMDoCAxXYEkIVQPfdaBrVWDptOumgHYE1ugaBC8MAQhAAAIQyEFguAJLdKqB77d92vC17RGst30E67BPBzYFtCOwcvgYZUAAAhCAAARGR2DYAqsUWQpm/+Ca2SvPFhX87idmL55qDmhHYI2uQfDCEIAABCAAgRwEhi+wREnThfd8O4aDvv2CUvnvpoB2BFYOH6MMCEAAAhCAwOgIjENg5axWgtxz0qQsCEAAAhCAwCAJILBiqxWBFUuM/BCAAAQgAIHREUBgxVY5AiuWGPkhAAEIQAACoyOAwIqtcgRWLDHyQwACEIAABEZHAIEVW+UIrFhi5IcABCAAAQiMjgACK7bKEVixxMgPAQhAAAIQGB0BBFZslSOwYomRHwIQgAAEIDA6Agis2CpHYMUSIz8EIAABCEBgdAT6L7B0HM7dr4vNRMuktzr0hFnoRqKyVRmVIrZsVcYkIQTW6BoJLwwBCEAAAhCIJdB/gfXQD22+ctXsq7sukLYV0j4/2Pnl02ZPHmoWWRJMsn3Py1BZSnsci2zPeRkqq5oQWLE+Rn4IQAACEIDA6Aj0X2Cpyq7fN7v8sdkN/7tMxw+YnX/O7Jj/PSvJRrYqo0yyka3KmEwIrNE1El4YAhCAAAQgEEtgGAJLoudLH4V6/zMXSveK6UJN8Z3wUaiXnnGhdHD3SJbyKK9sZFvaKK9sZFs3xYjAivUx8kMAAhCAAARGR2AYAkvVptnB+36g88WPiik/Jb3dAT/g+cLZYsqvmpRHeWVTxl4pj/LKZhoZBNboGgkvDAEIQAACEIglMByBVYqsL+54TNanZrceFKNSesOTax5PdcbsyP6Cj64pj/JKXGmkSteUR3lnUUFgxfoY+SEAAQhAAAKjIzAsgaXqkwC6uS2gNEpVTv0prupVH51SuuQjV4q9Kq9tBbS7uDrqIqtp5SECa3SNhBeGAAQgAAEIxBLovcDa48NNmzv2V9hGMBn4vrpi9vrzxcW3PjRb3yj+PSugvY4mAivWx8gPAQhAAAIQGB2BXgusvS6u1mzV7ti6PZoUWZOB7yu+3UJVYG34lgxNAe0IrNE1CF4YAhCAAAQgkINArwWWAEwdwdLFauD7bZ82fG17BOttH8E67NOBTQHtCKwcPkYZEIAABCAAgdER6L3AaqwxiSwFs39wzeyVZ4vs735i9uKp5oB2BFYjXjJAAAIQgAAEILCbwPAFlt5Z04X3fDuGg779glL576aAdgQWbQYCEIAABCAAgRYExiGwWoCZakKQe06alAUBCEAAAhAYJAEEVmy1IrBiiZEfAhCAAAQgMDoCCKzYKkdgxRIjPwQgAAEIQGB0BBBYsVWOwIolRn4IQAACEIDA6AggsGKrvCqwPr9p9tD30yJBAAIQgAAEILA4AtrL8qf/1mkN0+mH26qpN9/YtFPHzZ72P6f9T5uVfylVLgG1zzcpLZME1mfXzf7o4koVTIIABCAAAQhAYDEEtPWSvr0a4HjjzU5rmE4/3FIFloSUziv8zZ/NfuB7ZpUia9P//59umz14WGxkSoIABCAAAQhAYDEE7vu39y/+Df69D3QgsBKZL2MES8JJ4uqd35rpDMN/+V7xd5kkshBXiRWLOQQgAAEIQCCCgAY+rt0oxNU1BFYEuSlZFy2wJJy+vGv2i8/8b98B/sgBs3+dEFjpb0UJEIAABCAAAQjEEOjZIjOmCCcrd33DR64+Ko7X0UjVUQRWjP+TFwIQgAAEIDAXAgiszFgXPYIlgfWWHwatw6GVEFiZK5TiIAABCEAAAi0IILBaQJtlgsDKDJTiIAABCEAAAj0kgMDKXGl9E1jlEtLq1g4pSCgvhV6xGEFLeqmPdhzh145baQU/+MUQ6Lq/xLzLPPIisDJT7ZvAuvO12a/+YPbCUz69uD993y7KS3Mo+MEvhgD+EkNrd174DZtf2tulWyOw0hnuKKFvAuuWx25d9CB5LR84d8bs5Frx77aJ8uAX4zv4C/6Cv0wnQPtIax8xvjWPvAiszFT7KLDe+Z2ZGvKTh8wunDU7sNreqVUO5cEvtFnhL7S3UF9RPvwFf4nxl2XnRWBlroGFCyyP17nkI1DaKVaVGbuKsNph6Vif4wfNXnrG7ISLrTbH/FAe/GKaFP6Cv+Avs0ewyh+s9M8xntKNvAiszPWwaIGlx9cu7pc/Nrvuf8cKLG3v8J9u+3/3HoM45ntpnX/OxZb/HZsozwx+4V6Dv+Av4d5SbEdDf0X/HOMzy8yLwMpMP5fA0uqMux6ArgqqS3t8tOmQT+XpV43yfOW7uV/51Kem/L//+e93HpUz6xWrtje989J/q0xNFyomKzbwnfLgFzPyib/gL/jL9B6a9pHWPjJ/3qOLQ2BFI5ttkENgqVIkdn5+1ezeev39VvaavXz6cVC6bDTd8t9/8sOefYpv1a+HptJWAm1rR3g3VKd3xFcVtgl8pzz4xSyUwF/wF/xltshS307/3O57FPodLPOpP9J39+D2AEasfTU/AiuFXo1tDoGl6bqLHniuSp51SHNdUPrDhD2UNAqmFYX3K/dNCXynvLSFA/CDX0z3hL/gL/hLDIH6vPr+vvuJL/j6rtnhJ9LKQ2Cl8dtlnSKwVBmKp3rfD25W0PoscaUb5wh6nFTb1925dH8dIF1OF7YNfJc95bVfOAC/NB+HH/xipx/pr4bbXzV96qvfX/nBa8+7wPJZnJSEwEqhl3kES5veacVI08hV9bYaWldQ9SvPmq0lqu2yXIk8Kfjb/jxKqfegvLQ6gh/8Yrop/AV/wV9iCBSDGWo37/y2+P7uWzF7HYEVB3ERuVNHsO4q5qpp6GriRRTYnmO+uCy2nIPerDxHyj0or1h80LaO4Ae/mL4Lf8Ff8JcYAmYa3Piv/308c7SKwIoDuKjcKQJrUc/YdB86aDroJh+ZnFreGnVFkLfaO472RnujvU0nkLt91N2puh+friOwYjxygXmHILCYYmCKIabJ4C/4C/4ynQDto1vtA4E11VdjFvPGNPl8efsssAgKJiiYoODZv6QJgh5uEDT937D7v1lfeUawtuggsPJJwd0lscybZd4x/oW/4C/4y3QCtI9utQ8EVmNrRWA1ImqRgY0e2egxpmXhL/gL/jJ7pJONQbuzUXXIJ5ERLEawQvwkOg9HMaQdxQA/+MVOq5bHWnE0FUdxNXXY9C9p/UsT3/I6AguBFeorUfk4PJXDdmMcBn/BX/CX6QRoH91qH6G+qj0fL/kpJoqxVGIVYSi5BefrW5B7Vbnn2Bme8sxe8rMgT/hh2TEjG3W/pKiP+MaL/+F/MV6DvwzbX0J9QSOFOr1Ep5hIZOmsXzYaDaW3wHx9Flgp5w7WCQTKi3e8aocPP/g1EcBfzA74obwxMWFVpvAbNj9tzfdwY0YrcsdZdTGlpLw6h1fn8WokkqNymnqfJVzvo8CSQ6mDOnfG7ORa+85KuNVhUV57x4Mf/hfjPfgL/oK/1BOQYNKo1C+vFcff1CUdL/cjn3E44mcOasZANl/cMfvAbXIcP8dZhDHeGZB3yQJrryulRzFH7eiIgF/9wVZe+LZtHHVnazOtVcWyXZ698FRtACvP1+BD8AtoZDOywA9+9H/TfWAs7UPCRotIrnxaiKzqKRNVOvreHXVxpcEFzRjov8ud49sebVYtH4GV1h/tsl6iwNrj4uqwrdptW/cuJvA8Q8+2srFpR/YdtFv2wDZC7aZh0203HvlhmdvDrpV8PF+Ar8EvANKMLPCDH/3fdB8YS/v4P4+juvi7YuQq5FN4/IDZ+eeKAP2WSd+3Xd9dBFZLmtPMliiw9EjRI0Tb77HizpEsrgJQ8nwBkGZkgR/86gjQfgsqtA/ahz30H/iaFvzz7TBxJWQrPnKlhUk/9OnCmsGBJqryuzUf3Ljj4n7HDBICqwld5PUlC6zIpyU7BCAAAQhAYFgEJLKmTQtOfdNKwHsLGoxgtYAWbYLAikaGAQQgAAEIQGBwBBjBylylCKzMQCkOAhCAAAQg0EMCCKzMlVYVWKeOpa/Ky/x4FAcBCEAAAhAYNAFtO7Sn7eZoGckgsDLCVFESWE8fN/vGYd/AbV/mwikOAhCAAAQgAIGpBKSr9vu391v+DV62yEJgZXZUCaynjhZb7XdAQGd+O4qDAAQgAAEIdJeAvr3f9m/wMz7QkbqvY+pbIrBSCU7Y/+wnm1viigQBCEAAAhCAwOIIaIsFDXBoFuk0AisWPGNCscTIDwEIQAACEBgDga4tMmMEawxexztCAAIQgAAEBk4AgZVUwYxgJeHDGAIQgAAEIDBQAgispIpFYCXhwxgCEIAABCAwUAIIrKSKRWAl4cMYAhCAAAQgMFACTQJLBz/f/dpMsVFlkqo49ET4ikPZqozqIdJaragyJhUKMVgDdTReCwIQgAAEIDAmAg0Ca+Xhpm1c+dTsq7uPzyrUysOXT5s96Yc9N23rIMEk2/eu2tah0kraa0u257yMyYOiEVhj8j7eFQIQgAAEIDBQAjME1ooPLx2x/Xbr+g3buPyR2Y37jyEcP2B2/jmzY/73rCSbyx+bXa/Yyka2KmMyIbAG6mi8FgQgAAEIQGBMBJpGsFxkbTzykacvfRTq/c9cKN0rpgs1cnXCR6FeesaF0sHdI1nKo7yykW1po7yykW3d6BcCa0zex7tCAAIQgAAEBkqgKQarfG3FT91fN7voI1ma8lNS/NSBVbMLZ4spv2pSHuWVTRl7pTzKK5tp0eEIrIE6Gq8FAQhAAAIQGBOBUIElJhJKX9wxU0zWrQfFqJSE0sk1j6c6Y3Zkf0FO15RHeWWjkSpdUx7lnbX0DoE1Ju/jXSEAAQhAAAIDJRAjsIRAAujmtoDSKFU59ae4qld9dErp0na8VnltK6DdxdVRF1khQfFXr5v93v9c8z9vvNnpnRA6/XADdVleCwIQgAAEINB9ArECq3wjBa0reL0MfF9dMXv9+eLqWx+arW8U/54V0F5HhxGs7vsMTwgBCEAAAhCAQAOBtgJLQqga+L7iWzdUBdaGB8Y3BbQjsHBPCEAAAhCAAAQGSaCtwBKMauD7bZ82fG17BOttH8E67NOBTQHtCKxBuhQvBQEIQAACEIBAisAqRZaC2T+4ZvbKswXPdz8xe/FUc0A7Agv/gwAEIAABCEBgkARSBZagaLrwnm/HcNC3X1Aq/90U0I7AGqRL8VIQgAAEIAABCOQQWDkpEuSekyZlQQACEIAABCCwFAIIrCTsbNOQhA9jCEAAAhCAwEAJILCSKhaBlYQPYwhAAAIQgMBACSCwkioWgZWED2MIQAACEIDAQAkgsJIqFoGVhA9jCEAAAhCAwEAJILCSKhaBlYQPYwhAAAIQgMBACSCwkioWgZWED2MIQAACEIDAQAkgsJIqFoGVhA9jCEAAAhCAwEAJNAksHYdz9+tiM9EySVUcesIsdCNR2aqMShFbtipjUqGwD9ZAHY3XggAEIAABCIyJQJPAeuiHNl+5avbVXRdI2wppnx/s/PJpsycPNYssCSbZvudlqCylPa6qZHvOy1BZ1YTAGpP38a4QgAAEIACBgRJoElh67ev3zS5/bHbD/y7T8QNm558zO+Z/z0qyka3KKJNsZKsyJhMCa6COxmtBAAIQgAAExkQgRGBJ9Hzpo1Dvf+ZC6V4xXagpvhM+CvXSMy6UDu4eyVIe5ZWNbEsb5ZWNbOumGBFYY/I+3hUCEIAABCAwUAIhAkuvrtnB+36g88WPiik/JcVPHfADni+cLab8qkl5lFc2ZeyV8iivbKZFhyOwBupovBYEIAABCEBgTARCBVYpsr644zFZn5rdelCMSkkonVzzeKozZkf2F+R0TXmUV+JKI1W6pjzKO2vpHQJrTN7Hu0IAAhCAAAQGSiBGYAmBBNDNbQGlUapy6k9xVa/66JTSJR+5UuxVeW0roN3F1VEXWU0rDxFYA3U0XgsCEIAABCAwJgINAmuPDzdt7thfYRvOZOD76orZ688XF9/60Gx9o/j3rID2Os4IrDF5H+8KAQhAAAIQGCiBGQJrr4urNVu1O7ZujyZF1mTg+4pvt1AVWBu+JUNTQDsCa6BOxWtBAAIQgAAExk6g7QiWuFUD32/7tOFr2yNYb/sI1mGfDmwKaEdgjd37eH8IQAACEIDAQAnExmBNYpDINYSxwQAAC4RJREFUUjD7B9fMXnm2uPruJ2YvnmoOaEdgDdSpeC0IQAACEIDA2AmkCizx03ThPd+O4aBvv6BU/rspoB2BNXbv4/0hAAEIQAACAyWQQ2DlREOQe06alAUBCEAAAhCAwFIIILCSsM/a0iupYIwhAAEIQAACEOgxAQRWUuUhsJLwYQwBCEAAAhAYKAEEVlLFIrCS8GEMAQhAAAIQGCgBBFZSxSKwkvBhDAEIQAACEBgoAQRWUsUisJLwYQwBCEAAAhAYKAEEVlLFIrCS8GEMAQhAAAIQGCgBBFZSxSKwkvBhDAEIQAACEBgogSaBpZ3a735dbCZaJqmKQ0+YhW4kKluVUSliy1ZlTCoU9sEaqKPxWhCAAAQgAIExEWgQWCsPN23jyqdmX911gbStkPb5wc4vnzZ78lCzyJJgku17V80e+gHQSntcVcn2nJehsqoJgTUm7+NdIQABCEAAAgMlMENgrfjw0hHbb7eu37CNyx+Z3bj/GMLxA2bnnzM75n/PSrK5/LHZ9YqtbGSrMiYTAmugjsZrQQACEIAABMZEoGkEy0XWxiMfefrSR6He/8yF0r1iulBTfCd8FOqlZ1woHdw9kqU8yisb2ZY2yisb2dZNMSKwxuR9vCsEIAABCEBgoASaYrDK19bs4H0/0Pmij2Rpyk9J8VMH/IDnC2eLKb9qUh7llU0Ze6U8yiubadHhCKyBOhqvBQEIQAACEBgTgVCBJSYSSl/cMVNM1q0HxaiUhNLJNY+nOmN2ZH9BTteUR3llo5EqXVMe5Z219A6BNSbv410hAAEIQAACAyUQI7CEQALo5raA0ihVOfWnuKpXfXRK6dJ2vFZ5bSug3cXVURdZTSsPEVgDdTReCwIQgAAEIDAmArECq2SjoHUFr5eB76srZq8/X1x960Oz9Y3i37MC2us4I7DG5H28KwQgAAEIQGCgBNoKLAmhauD7im+3UBVYGx4Y3xTQjsAaqFPxWhCAAAQgAIGxE2grsMStGvh+26cNX9sewXrbR7AO+3RgU0A7Amvs3sf7QwACEIAABAZKIEVglSJLwewfXDN75dkC0rufmL14qjmgHYE1UKfitSAAAQhAAAJjJ5AqsMRP04X3fDuGg779glL576aAdgTW2L2P94cABCAAAQgMlEAOgZUTDUHuOWlSFgQgAAEIQAACSyGAwErCPmtLr6SCMYYABCAAAQhAoMcEEFhJlYfASsKHMQQgAAEIQGCgBBBYSRWLwErChzEEIAABCEBgoAQQWEkVi8BKwocxBCAAAQhAYKAEEFhJFYvASsKHMQQgAAEIQGCgBBBYSRWLwErChzEEIAABCEBgoAQQWEkVi8BKwocxBCAAAQhAYKAEmgSWjsO5+3WxmWiZpCoOPWEWupGobFVGpYgtW5UxqVDYB2ugjsZrQQACEIAABMZEoElgPfRDm69cNfvqrgukbYW0zw92fvm02ZOHmkWWBJNs3/MyVJbSHldVsj3nZaisakJgjcn7eFcIQAACEIDAQAk0CSy99vX7Zpc/Nrvhf5fp+AGz88+ZHfO/ZyXZyFZllEk2slUZkwmBNVBH47UgAAEIQAACYyIQIrAker70Uaj3P3OhdK+YLtQU3wkfhXrpGRdKB3ePZCmP8spGtqWN8spGtnVTjAisMXkf7woBCEAAAhAYKIEQgaVX1+zgfT/Q+eJHxZSfkuKnDvgBzxfOFlN+1aQ8yiubMvZKeZRXNtOiwxFYA3U0XgsCEIAABCAwJgKhAqsUWV/c8ZisT81uPShGpSSUTq55PNUZsyP7C3K6pjzKK3GlkSpdUx7lnbX0DoE1Ju/jXSEAAQhAAAIDJRAjsIRAAujmtoDSKFU59ae4qld9dErpko9cKfaqvLYV0O7i6qiLrKaVhwisgToarwUBCEAAAhAYE4EGgbXHh5s2d+yvsA1nMvB9dcXs9eeLi299aLa+Ufx7VkB7HWcE1pi8j3eFAAQgAAEIDJTADIG118XVmq3aHVu3R5MiazLwfcW3W6gKrA3fkqEpoB2BNVCn4rUgAAEIQAACYyfQdgRL3KqB77d92vC17RGst30E67BPBzYFtCOwxu59vD8EIAABCEBgoARiY7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