[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: New routine in the development version : Tokenize()
[Thread Prev] | [Thread Next]
- Subject: Re: New routine in the development version : Tokenize()
- From: Salva <harpomix@xxxxxxxxx>
- Date: Sat, 4 Oct 2025 11:02:00 +0200
- To: user@xxxxxxxxxxxxxxxxxxxxxx
Hi, I've attached the program with my tests, although it only uses Tokenize twice: First, it tokenizes the SVG tags: - Tokenize(Data, " /+", ["<>", ""><"]) Then it tokenizes each token: - Tokenize(Data, "-:_", [" ", " =", "\""]) I needed several tests; Tokenize is sensitive to non-alphanumeric characters. As I mentioned, it reduces coding, although it is necessary to test until you find the right parameters. The program includes SVG files from different sources and sizes for testing. you select the svg file and that's it. It also has zero error handling... Have a nice day. El sáb, 4 oct 2025 a las 4:22, BB (<adamnt42@xxxxxxxxx>) escribió: > > On 4/10/25 10:22 am, Benoît Minisini wrote: > > Le 03/10/2025 à 10:04, Benoît Minisini a écrit : > >> Le 03/10/2025 à 09:43, Benoît Minisini a écrit : > >>> Hi, > >>> > >>> I have just added a general-purpose 'Tokenize()' routine to Gambas, > >>> that splits a string into tokens (identifiers, numbers, strings...), > >>> according to a few arguments. > >>> > >>> The documentation is at: https://gambaswiki.org/wiki/lang/tokenize > >>> > >>> You must login to get the last version that fixes many typos. > >>> > >>> The aim of that routine is being useful without taking too many > >>> arguments - as a real dynamic parser is like 'gb.highlight', it > >>> needs a compiler! > >>> > >>> Please tell me what you think about 'Tokenize()', if you find it > >>> useful, if you think some options can be added or removed, and so on. > >>> > >>> Regards, > >>> > >> > >> Maybe 'Tokenize()' will be renamed as 'Parse()'. I'm not sure yet. > >> > > > > It's done: 'Tokenize()' has been renamed as 'Parse()'! > > > I disagree with this a bit, "parse" has much stronger connotations than > just splitting a string into component parts. Consider "parse this > sentence into its subject and predicate". Secondly "tokenize" is unique > in terms of code completion, tok<tab> is not currently in use, par<tab> > needs manual choice between Param and Parse. > > (By the way, as I haven't tried it yet, whats the difference between > Tokenize and Split?) > > Finally, the wiki is not up to your normal standard, for example it was > not clear until several readings that it returns a String[]. > > Otherwise, great addition. > > b > > >
<salt FCKGM-0001-1A54-62B0-650F> H4sIAAAAAAAAA+w7CVhTx7oBRDSKeqvWutSO0QrREHISkoAsiixKy3YFxRYpHpKTkBoSSE5YRbTe W9tK1e6t1dZbrUute6u1asHaYlWUVq21T6uoV733qoC1FhXBN3O2nJMEaf3U9733mM9wcmb+/f/n n39mYjphJ9OtMwhLsOiBNQVsWrUaPTGtWsF/sk2EqRVaBabGVCqlSIFhWi0mAuoHJ5KzOewkbgNA ZMfNhfhd4Doa/1/a0jn/y5EhSEf+/eeBHKzRhLTrf+h01v8KJYLDVCFajQgo7r8o7u3/uf/jxxMW XW4SbpshFg/ngkGsECvkCjkmFhtz5KY83EigL0aHCT0MVlse8yovInIKTUQRei3OMzMPeS4Jv4v/ p1XrbH+g8ea/GbcYH8gqQOV/bYf5X6PVqhQaBTX/FQp1Z/5/GI3nf1xHmqwPog74g/7XKhRKFVwE kP9VypBO/z+MxvO/3mQjdKTVVnK/eXS0/itCMGb9VynVKsr/MBV0rv8Po2XGEvYZpDUfxFlIW0mW OEFntUTKg+Um+JTnW4ydq/j/7cav/226B7MJ/BP7P4UWQ/s/pUal7cz/D6O5+N+5HZDrzLjdfl94 dJD/VVol5rL/U2tU6s78/zBaAJiA5+XgdkC5GxhMZkIsTnXkmE06kObIAfFws5edkk9YAqViMQAg HgKMtxZj8lSczAWRIDo/H4LiqHKku0YGA4m90ChBwEmEPIawkIQNIcdZ9ALKOaQlxmy1E9kxsGcG Qx5hoM52ECYRZiuuF2AkGECylQRxxSY7GSiQTgrScwkLmESQDpuFL7sT36NMBG4RcCDxRKtRnk4U k1BficQdy50uxIo15QFDOoi2g3goM+nsQpPNVErYZMAwNSnRCcBC5KZNmUABoSH2OzcIUWKtOjQ0 Nc8MvznyoIFdxRwZCdJIm8liHBGoUsiAJEgiBSOBBMB/Iylp5cl4HuFqrZEAbt8TDRQxKHkkSDfl ETb0xnKNBMlEEZ+xCwkhJgiCL6grWq+HogVKUlLjkgFNisIeAyTQCOk0GrLF6EiE4YE/ZxJaAvb1 HtizqGPgAJ895xaeEAEspkTqQSgShyKzYcFYSJ5upQ0fmG5zEB0JlJ6Slj4pIXlCezYJAFNMUFsb YXeYSTvqSTXpEFP4gDFNQMIJ6GxGHm+z5jF8nVJJ5bCLIHW5gZgyVAbgHymL2KHBSZyzB6chazmn jn9Yv3aMLtRPDli1THZQaDXpgckA8m1WHYHyEm4yyxFOuq0EwdGS3NUOQg06soYn/7u4n1PLSuJm d5/BDqk7mLvqLCOpxxgTzmIJCnBgh+AUPtuoaQwTM04GppG46yyUp0F4OOuHy4YPV0ic89qdOvXF DKeVUBkndWc0yRMJy5+jKdScT1PomXYoe3AAzSnOYodOm2Kym3LMBB2D9EAaQcZDJezOxG4zFeIk QeVohpSdEg8lVipMZCAlHy1d0FEGFMNcNubWFhoBLSRi2vZCdenhkTAsTXmBjIKTrA6LPpCmNwpg sMKRgaAQKaujHNU8EimdkfPshFEu4ZszzmwnPLJiM3qIM6M7kSx6k4HW+k+u/+3Xf+iY9/7UGB3U fyFKWOzT5z8hGg2mRvUfLAQ767+H0Yaz9R8KXqo2ACq5QiwuYzrQWT8sy6yFRJoONxP6QIVMIcMU mEwTgqYeszjAbAfjCHATW4LGom023GIkUFJBhSL9Jp9C2EhYMJohQBmYiLIW9ZcKeR4bTIbJwsJk amp+g7R8XAeDH600cF2lYXGb0WTh96Tiej0NpKTey7jCjP3CzCsemyAMqqNVy0KkzFhccT5u0fPJ ljPEuPITjHeQpNXiTgzSgbbBnMQ469CIEqkrQarWbZdeqLY9ehQej1w5ZU17fhIOTZIGK3KSpBdy oec0lOfUGI3ormqHHqO5oFJQwMTNc5hSK4MrbLs2RXRScQthxuiHmF3ZXOiEhMmUGik36onQH5Ka 5mjOgfwS8RweP7fQDgmVqaS84WizyWhhSaPvzI6GB+KcA4Lwp1s5jz9v5aOQom0E7lkSTKaShUAT KvmixFspKdAjUwL3PFaIYbHKgjBJFg/Ks40A3Abh+hSLucR1hBWwXOgYZfuOUVOeCb3PnlHezTNo loZo7t0zvPqmXd+gevgPeEVzH70itD2bF1A6VDqToqsICpQXlZjU6S+mHGbrZyeiAFUpU8owLfzn lL5DEyZZ9ai6dhKWx0A9YZJxC5oplNBT2uGNhUEHajB5qFqLyZQK6tlR8JTR9U+HPoFLEcyS6gc/ UwDIsOH57fmQ9ZyK7zl3YTVI2hC+sLTJCQ+ClHHnEcIlwt21KrRQaIR0BcsFogGNKeEDlLcTh0xM oflw94gKVSK2DySk6EWtvPP24UE3l/o/FbfZCdt9vgb48+f/IQp0/9d5/v/gm2f/c2c99+US4O77 P0wBd3uM/0O0WqUG+l+jgSHRuf97CM3j+T9cGa02Ej4LUSLPjsdnoEsBmzUfVm4lIB03ouNj5ykK mAw3MSPssJ9bWwICEBiwoGRvgcA8bMEBDIuKOoEAG/UgdLkTFS3MICbXZNbbhKfjmVksHjVK4dld 8KJJyDDHQRJ2hBljNZsJ6vcu3El+NrWp0qPR8VYrtWLCEgI3QwE5uajLBqhSAqRAQY8BBCwhJMFR EiEZCqo9SoiMiaFAyToGUL+9BJKIYInz2GoETmlDaWgXquuE0UXTarnrxYHkJHCnXow4gtuLbAtR FMgdg6GdstC79FGYUBjhMXwmVVUJRKEB+FYG1HGakzw0G3x3XtugXubGhneMS11WJMK9sxPGw7VN tsFGEIEeBJWjysdGHxLy5eP6hQeF8Q4LJS0XZNkodAKlLsZH1OhbJSG39qg5Q49Hz8U2LD2ekB5O MTmxIQYbr0xoObuS6QqL62WmF9tzz0biXXg5HRSLkzgvVphpiDxGzRSYUSAs0CMoOwXC3XPZnZdc woHcdm+/cN5coHAYZ/DNgnMhym62KRllQAKCR0tkIFMSEQUfkqgISZaUmY/xJpudBEQxoXNQDoMb BmsOqknhN8pCTPTirMGsDpgXo4CCfzAckAaF0OUCe6GRRpMDmi71AnQwC+QQAAc6ax6qj+UM2iQi n6CvB+lmZy+6puBmE+2hQJZvXDFpw3VkoEIGMGmmIostuydbSJOZwUTH6Ug0VirKFTarlZGD6Ua9 NG0aSyoAJ3MJdCvDShVvtYE4HKlGy5ZgYS1xd7GFpAFzns4Xkm8/DoRLWG6DrpGbKYzjJLw4i72u YuShdKK6GJfA7YfJUALybUShyeqwC4xCN94BPNdyPd0+ojCkz3wknuHl7VnZszbyaL0+MNcDIH26 7/E1GaomBoILAPf8w3OJ63QVzj5ofAQAIwvddEdI6HRMGzHWagkgQR5tPpKzKBsCnNN4iQc2il8k SDLpmVmolFF9VAAEAe4kRch5mASk2Fz6xjLSMBQlElostHm0WanrOIB288zsAiRupETjeZMnItpo M3rBpdypDc+UgMvJiKN7DnT61lMKBFwW5OdzQKcxU6qVzmG5qMpiOu30KiEDduguB2/97Sj5tZ/w gsZkUwkP3TtKQCT6O03CZL0AFhglO5xboNgwEGa6SIDxQoHXAjAmuwVFASs6MiFR0YfqPcbkVFEY yZKDrmR94omJ0o1JgJKJMhgrUbBERQUTYgETEnro6BWwyETmWh0kTw25M6ycrFHUBEtcsopgyRSe v7gKj7GHRy7yw4G7kHY/1/FsFP7E5getCzCKHRY+waKjYqm9lYSOqHaQEQAdacJxMBoos3geSJth ygcBkQGumZJfKWQyrJAdGKI0MsxoTq+Incg0o0igcosoHmd00gTyrXYTVSRx/bzAgQkfcqSICSMH VdgEKi1hVBIwadkIJk5h2Y0cBcM1nYsfQa5tz2k8oTHPqZhehCmgqEhhbLtlaDqNcAna+YsK3s6I ViSASUJw0XEroAqNwtTD5ZdEopAwo/4EC0kYCRvURuEsr9i9CVddoRGWGMoiKEkGJhHUDfU0enGj Qo0iS/9qgd5nURUeeucqBJp4gmthTCuTAecpDSHwppy/ZaK3BYwGbIUAYgmOvTN6GYlHRoKEBEOg E0XGmIPpQlmPlKDrd+rOnFGPEoOvIScO+jWZnNsM0vLw+igxKaF4NuGigdIRvVILM28RYaRtb4nm S8X3jVtAMFFB/9SA3l+71dWCHTbX7bqsMJmeYumqG6MQu1yifSk0FQ3Kbv+h6aIkLtmKRRBAulWR tCQwSGgw5/aIX06yvycBTs5OQPnTRAkSIBIN0vRcCiJkJeQPg9NQcvQjEPpgwWqgetzUpMgxP+lA QcU3jl6GUgcbRlB3p0WERRjP6dTIvfws46E13vkf+5P/+86jo/M/LETj+v8/1BjWef73MNrLqckT /MWDUHz6J0yMnSQSeYnQp1tX+JhmW22Ajy728Qnp3WCb2U3/kkjU5/GE2Oj04iVXfqlYdPR6+d6r F1vK/Ly9PzL12zvltRFffzDxo8LF5CebjtrKivqsKpgUnnYidmnC+5U/LCZ75v3tRFbThPCtya+u OVazRvND/Ps1K67+FPRsAfn84XdfGrQ9vNuL39zweWt1n/r6ht9bGp4I6Gqp8mvWvTO3rGqoqm3L tpZdvb+Oar7Wev2ZA/0PLHipcn7f01/tq7nWHHDu5oE4/UypSDLnXj7qBQ6fc+Vjt3xXXFpwjJh3 vXTQYq+XuqwU3dtHc+G6KFb/m+XDn8PWX+qe2xU88q73vX2m3rgu6tXcWDT2n6FHdjx18/E95aVt r3x8fcjBYY1n85I0b/+00BHpdVAU653m8ulR8ej0sYZz5icao4d8OVNlOLK3rJ9SI65OXXJleNjS /knrpw5tHDbRP3fAuBEKX97n8S5vLv6ybsPxiHXlDRs/rLiqMRwtCLWJxLOPvjkn2X9o/Gc93IRU O7ap6wqNpTUVX24422fFFtGktKLDW1s/mayd8kvM1f3dkv33714+cPbE6Yu9huh7bAjOvJO84Kkz 5aHGwbflh8bXT63sYlw7ePCczw1tfZKLxkhLylsnH2y9/lhK2qbbgxtOek37fvL+xk/3Ni6Kecc7 v8/BHRfOmMrDD0c0FczV1EeKLu+Sf4odqB9RP21S1Lyr5Zeu+10YMOX0z1nPn5p24Oo/1/974uGo bO+t1b8//vcu/8iaPXfFmhvV5KWnN/h+dbZhwOaLB6vGGtKqZz0R+EKFOmNquSFo7z/f0m8NqzAo fGIOLPdbMXDcUnX/8Ef2Jtu/ONUUN/1Vw/CWjepzE5domnyvzT/fv/XVwuaa87oTT+Y++zP2ZFL5 wOOSyp9qNgeFzTR1TTU21PrcUTb5TV/ee/1r02uxix8Oagm7U5tZEfofadmR/fMW/vZm3aA2U2XX k9vOLvaKXSE6+sOSrxfHz3vkeKOXv/rn1VeHNp0Pf671/OpCP9u3v6anHEmZG+Tzvnf98UfnfTby 3Bt7XvFODdg+ee3glYfLpMdL9F/d3DWgWb4kOFz21KDLN/avqNHVXu5Z36NaV181KOfaqsVbZBmB dUMbih99LnvrtE3nQue9Ve2o3rTTXl9XmZG0VzT+MDa7dM0N78qne47MaK3d1fucZu6GRMOvt4yv zP+97bfyHlN3TP9xz51jp7O3f1NvqwwrqzoJducWNN++/fXc7Eb551eaj5Q9t0Zna+w1dm+9/cJX Xbbsji59/CCk23NZr8Wv9A6ZfXFO79Ty0nXehYOnlhnXfHzpvcMf1WpPXRv9qNUxSuuzdnaG8gPl L5Xza19PaBl8YOfZ/wy8MM33pPjY21cv+N0e8OKMrn0WGUSO+pAhPWRdV15uCV1z5vTuL7auPf7r AZ88Y7lpX8MbPZrbWvqtHOpfGHR82c9/Kw9xjPW/cebUwgvi8/seC/DKa2h7pvaUMeZOVsaQE99P rs2Ib5rwZvfxXqt95un8w5d+klJx+vUx2ZnZz5eYvjjxX+ljqjZP/3Hutim3rqQ9tsr/VkFOTc6p 7tU7z8ao+l7eE/rEt2F1V9OCrvWteMK6+FpN/t7hfed7p/q9uLTLkKzW0OBMn5RKsqxuQ+6JqKrj BRv+2l+UPysgY2pkXVDkgNDe7/rN8ja8YX5sQPP2LQOPaw5j+75ZJjq6t2Vf6FdnLTN2nLhm9Z8V kTHzX1M3Hqhu65fbparH7Qvrcy5tMIoNd+ZuWfKJSry1386Sekei9+BDLbM2HLwVP/1AU/awvi/3 8j62t3bY0IqwFnxHz8vW2durX56e8ULQjFGFO8tm1y3RztGufc4UkpOoMm/Gvn6659KjZ3y37fda OOG7b2DwTbjwWvngX+80f5DSVqQ+WzhnR+utblUt8pMzdmywnJp7bXwRnmBN2jZ6nr/vMnlE2VN5 bXOGPbfo89Fb63SWy6RuRJHP7+Ftr8f4NT2pNPT+Yhdx/Mu/mNNGPua7rNdJ2bXAKt2q2uB1UaPO BRR5lZ0+eWThzUjDqW0XvfaU9hx8KCn8RPWHTXPWtso/Tdx8bXd21wX7ihtmdN+3cN6mpPeWkX02 Dj059m1H2a7df/2izvdYr9LdB6t7npSLBmFVfrdfPJRzaYdXvm7AocHvhd9MHvv9lZrWCxGWmpSd P8w6tSvitN+i0YWfGaoqV/301qNVkfvHfpwoEo/zL1+9sabwmUbf6r/HRBDagVvWQ/M+nfTtguBQ mY/iXydaDvb+Puu7xv39D7w/Z9bJCl/zbnPfht6l4weei5t06cqo883bk0K3bZ4ZIQ0aqCtQ3WnI bVuiLAgUqT97/9QbB7f3PNEsri767YXT081lYy59vvTbt6OWBV8yloW29cv3afp098LcjR8Wrvuu sVm9oq1g+rPXK7/JHn6mpaV8XWKxeNyrtS0tdzSn/73uxaAR9pKgqvkjWuONLb7Lqy5EXQ2IWBOx adbNw7/sKbn1wuTedZ+mj1o37sdW7wWORZsdR3WvdY/2Wv2XS2FnQysXnmmZFbZyR/jx5e9m/fTL Kc3Kz6/uOJE573rN6eWTEup8w+dGR9tmhh+qcLzz7O9jyxZ1T4GIe5K7RNUuu9RUezmvvpfu15q5 YR9M+0eEzyr/5aUHRRf9xl3cPWThkMX9Zj9bcOi/2bsS8CiKtA2JgkYOVwE5JQZdOTI9XdXVV0gC D7L4I7+gLIeACJOZnmQgmQkzA0kASVgeD1b/FWRFFxBBBWTBgCIPt8AiKqviwSG6QSKoSDgScDFA IPxVnWSOTCczge5EQ3WeyTPT/XVX1VvfV2991VVf7XgrYffxEu6Zc5eOvj5r2paMf+1584eVyT9v 7LTuo633lA1b9sHrTfY/u2vUqEETF5Y9cHjZ/AVP7BSPF9/90PJTg5f/8cyWhOdMwzecXTzl8JWB R5zbCwrF5q33HB73wYW9l6K7JP799jZ5HYH1iV9bZ29t958+y9Z+2HF1cXbi2MItF25fe+upGUtS SzxlWeIiR8mtcH5XIdu7oLSoqE/TNnkLJpV+M+qTJ+/f+8qvVzwj+7jRS/9+sGDay01WRN9fmP7R 5Xm4Hv4p5uY/khxT+rn1048PPf7C3IJzb3yVM7p8UJObl9hbfDJ119yhK99v1vXjtv/u0+mx77PS Wn0xDizZ2Wzwj/e1X9Nhes/dX7eaUd7jqeYdu1z9YceGVsMPvBU1Y9XCk4WvbR3U9K223cr+tvne lU+08RZevLK2uMeuohXDcpqmidkpT76zvmhJyiyeuan8Dth6wJSFv5xnXr00b9vP9iXfrhz9szXv VfaDXx6c2va7QTuOpOzZRrLZ4/I/nioeHJUf5e6w5vTOK4tjViZfUbrG9H174/Y5FzMndN0ztWDR mPFXN5Ru3nLs1I6LR/aPmnBow+aYz7Y062Me2bPrpn1/zL21dJktv/8HV+UZJ58eOubAxPuEm5eM SC/pMqM4Mf27RVuWvzFB3HHn4mb5lvF7iosm3rSozakez/frd+7+k4MupvZ+7rPhr13eNDQnZu99 O5YdKhw+a+fhDR0e3/b+/kuXupcPgzt7NOGPfjjPtuam9+Ykt2s1Y+2qOcXgWCvP9g8OF3/0zV/W 7TucGzP9zmNDC+OGvLjw4EvtWr/z9/Yb5zWfP3ObeOyjts/nDvy569l+b94xCzdXfx1z197NRcu2 nN7QeXv2jJXWB7KWKq8dyOp928XTfXNmLLW2jM69yz4gZtinPxf3/OmZxLEv93ppxeaynMINeZ/9 8+4XSrdMeqGTmN9rwh7znuVY5TZtj0mMmm8tuTTjUNdj5cPy959dn9/vfNOtZ4YOMreY1O6eXZdf 6vLgvHMddjHN7XNz/pW3omV+MfOe7clVc25ZMjZvwYme6//bRClYtfxks2I+rXR/7rTV21es3Has /dDyP1yIYxeuFrev233n/IcTvlrc6WTxvNkPc3kdi974/ssBX7m2r+v+ceH5suPtp3cbeepCyoJH njjyHTw1ZtbxNgcP/WFg8dnZ+47uHbewbGvR6ejCv13tfOqXtqfOHs//9GRZuW071vdvHxtd8PWw nldnbTFHlRUu6drJ7pl0NXXQxRH5j7x/uCQ1YZDpyj86RbdbPXUjePvN4iHbStML+jSdIny4/1SH Pnku9Nj80ZcKh8S8vblgZKv/afrWO3v7lf94cfe5hwq2T7Af6HV2QZfUveOaHJemm0d2X7N0Z+4j clzOpqxzz5efGHMkeXk/2Lz08WUvLo6e/kXJpvFch0uvti5ZYM09cOiRnDcn/mlh/q/zLI82KYrN SNvYZ+WwEYWrM6X8ok82Pz8gy/XuzOincwc/dN+Js96HPhd6Rn9dcn/f6MHdBrjzzJe/OV3yypYN vRPPX/6r8HCZcqhNXsKhtUdbT/OsGnHkzJX/5o277cCqc4d2vD2rWeedyZ/c8s3i+zuXlG4sG2Mv sM8+vP/wd+ee69hyXNSXo/ISToz+smDe4Akb95X0yoTmO+/mVxw9cyQ62frTyKz1x8//9PKjOHdp u855ylpcHbKk5YWRz4zscHRadOtPu0xftYtzPr4Y3Tvojgv21KXDx502vbF8bF7Cyfj1CWst35// cdC0rAsbJpXfsm5d+40TXe2b/po8fp51SMfy9rPfPuN0zVj//hvzu7fJm/XDpl6/XOn74J+XHhv4 jLzjxJlFT11c2cyz075pWor9PzPFzCM/HBo9K3Vmy1cyirCObvzxMZsX37V63f53W2bnr3zv0kdn yrv2jZ5T2GJRfGZBi9KZY596qN/QUSMnHJz75Mrbbh6/yNtuwasz10Ttk6d1EBNu6R6Za8DcfPeL rr1tPzmW9OwD38w9ltSkQ++bx3e3l1356Ym5s/tuqebdnIhdwr0+68nSi20X/l/R1wUZn60rfjPj 0LhS/tHJL53r/eG0FnD699HsV7lr93173J4849GpR35dNeLwW7mX3Y99yeCOe0zA5/vWUQe/+Gnk 01Lf7nlnukj34sYgRXh33+y4Z6JORwW7Qe3KY8djb6Xb1PLd/3nl0RVLn+3svR6v6vf+OSgdbLlV OgnX7O7b/4fCfS2qeV51+Kz9UPV6PU02fH6q876pUXe5Jnb8+uxznfei6Ntv/d+m1/ZZPWlrc3aE deyQvvdCLY8y0k9Z7sK9C2+/MGcUGT9oMvBPg/vn9xv/lwYc4KBHrUfA+F+aw2YzJA5ghPM/A+M/ cYDGf6qXI6D+U9WJgA0Z/8k3/5fjWBr/qV6OgPqforg9DpdT/zTCxn9i+WrxPznEIzr+Xx+HGuax oTNBjwY7/PbvmWJM9Mc6rP8g679FUY3/xNL4T/VyBNe/I2WyxzRRyUlxWdw2Bp/RJQ21/Uc1tP9Q hAIQmwAEIW70eUjkgABY+v63Xo7EPtkZ6bGV1J8UBxg2LlZxWl1kJX1S3PBhA0xSHFmd4LRZ0l1O JSnO6YrrkxyTeI/JFPuAW7F4K+ffxQ50TvRYLZlKbPc0rzczwWzOyspiHJUnGZc71dwj1mRKjolJ xGpF5kjgdJ2eBJs1Ka7yhszJ7nRV0GY1K+nqqmGPGTDAHOcXt/rFrSR1xxSFzPh0OT3qnU5PtwBh t83ukya5yeJUISDLspmFZghNWMLkyXF6Ldmm4FtxHrVuhVhhzVXRrVTJyKQSstMxFDVmRr0amDqG PxN/fDdUnWA8rsluq2LHdyqMU/Ga+w/r77toYhmb1xbwmCr0g9INqhIyVdOTabEqHnPVefV+hy2J BPGCsiSqvwP0A1QIVEon+K6wDBJ62chsKFUgy2HzpiXFIUn9laY4UtO8vp9VOU6wuawkC0lxDmfm ZK+/5cl0pgYno6grkkxkeVLFDeY0V4Zitk2223PMlSEszQP7TfYgE5JqvD3blokxlVnNizmaF12T vThn45Rsr+KsKCjGLQBE9TJpKX3n4pLxAxIzFK+FrHqomGJE8Kw6A2WZU2WwFNa/hKH9ByRXTkRK tFoTRrrcE/3zoIiAJQWnkhQXl+w7nWizJlRMbEpWg3MTZeuF6zzR7L8QJOzNyQyay0ge61YqlEnT /mzWDAe5yfxnryM9XY2uFBdrrvZQhzddSVbTrPhaVQpzZTEqC2kOKGWiuQoG9ZdNsXv8CJFfGB1Q hY6vEjKxkmWSxTJTfKXwqRDJJdGfQFHO5pvS51fUzHHZWEtjE2JZhsf/gaZIToUICdpDJDVlpmIz qO0xlVkwudyOVIdqGbwqzlUewXfhcgcUDxef9wGdiJsFxeJ+0G2xORSnb2ZvauXvYW6L00NqG+uW xet2ZKthEvAfI5GDLLnnGElNskdc9ZuHOx1e3HhN9ihuElxFGeIc7lF8UjkwKQ7KDM4MgKLvbDY+ y4kMywHI+0UBPskzrAAlyX82G2iIkrIGFwm7+ZL/HtIKJqS5FdxqdwuRg6FAWyuWUCXFWdKzLDke P27kLkt6ddzcOEu+h9hxTXMcA3G/Q/KX0I5VBOJik8Ofb6umrFVTtubKYeNxA427PbjLEw8qlAHh KjJJEgMlXuTiTRxuQ8nT6lpbBNfgInMsFyGuULpuXCPLZN2BQWwlMES9SJ/Rj0u9VKUmrMgAWGs3 8/CWivER+SArhQITbKEIlxnrFhtsoUFiWtYJItMiSZZ1K27NrZoscjxLNAMwEEoCgtfSqmFVkvAf LwXhBSSGk1kUYDQENIBxxZKsEARaqGwocjwU+EiQ4yGvH3KRFJ5HCMgBbanapEMGo4mvBBeeY0SZ CAe36SGyWoXnxQgLr8GexlkJZBDCNQ+Ca17AtSmw1WteZgRehqIYXPMhsqGFB7wQURMBeP76W163 mlO/ppGWEGHWRTwH/HqltoTYfADHC/40rZqyVk3ZWmyT4SSIIcE9DV4CnCwpJl41ViACHp82CYwI ZUFC8RxiWFmss82GNsJAYiOyLWykIkX4GhHmKMIGIwwowoYiLAb0SSjCxiAcEc1ThK8DYcp0RiNM mc5ohCnTGYywRJnOaIQp0xmNMGU6oxGmTGcwwiJth41GmLbDRiNM22GjEabtsNEIU4/DYIQFynRG I0yZzmiEKdMZjTBlOqMRpkxnMMI8ZTqjEaZMZzTClOmMRpgyndEIU6YzGGFEmc5ohCnTGY0wZTqj EaZMZzTClOkMRpijTGc0wpTpjEaYMp3RCFOmMxphynQGIwwp0xmNMGU6oxGmTGc0wpTpjEaYMp3B CAPKdEYjTJnOaIQp0xmNMGU6oxGmTGcwwixlOqMRpkxnNMKU6YxGmDKd0QhTpjMWYYFG8DAcYcp0 RiNMmc5ohCnTGY0wZTqDEaYRPAxHmDKd0QjXH9NFlklD8KmvytUIPiwbMj6sHVZVIxhwREF+fTHg PV5XZpV0xePIGZw3P5fExrrsdo+Cb2YDznm8OelKhbQJP93lTuimkMMaEH++5qdzGk8HtT/dxtlE q90PiDm43HWFiaAfPp9y3VGwq0dv9ZQLa7vDm5MAekeCCtDCPAwqWqmxvfVCKbLot2EKBniBrTuM KZYUW4oQHjb8dFh32Kqp6nXCFFmE5DAFwQ/RsoowMOH2z269Bm3DqfF1h00rNf20LbIo22ELJtS9 6UpJt1gnXguIQt0bMo209IMwsoj24Voilqu7wV4jhDitupuvwRAiGB6hgMjq14EQWwtCkUKskQ0m 0LT9eebZSOoDCfVTHz7t1Ng1ptpuKxwSNLpK1fdvgYjs2CLUuGfMVLKvEb5aIacpEsm2MpW701R7 Srh9bnQLjw8ERuJkCAKi1+OzgoQ7pqzMBu8NYJJxB5qDQQHP8GmBYzhZ5AJ4M9QKkBRZlDQsx4Vv cAz2EyAjIFwispOOCTIyJ/CcYpLiIcNzCEGAT2J4RB6geBMCDJkyHuQoyEzg7jfEU4CIAUjm5GBP AYiMBFBAL82qKWrVEg31E5AU2VpZJAWslrtWhGu8L4IMSCJiaymHDAP8mOutSeJfYU8PVW2QxCMW VytkEJRFAcUDBsksG7jzDgFbgAzEnaeAAUZSMSaOwZXPgoCRXbumsF1bmHiQLMNKAALBUHhlUJs7 ieEN3bXo2uFlBSBgzSSYQsgJnBRvIqDy2IvGeLMIIAl3IeJ5zCEAWwU2GMTwLG5xgiGHPCML2D0S gyDHWg95EVdasINNZLFXKgUhXikbsE5RtUQJ4tppQG2WJIh0g9u3Iw7ulnFcvLqBEkQsbhgaToEj 7QapahmmsyBh5ay7y2JVFIBSwndF8NOvwbOTbSkslMN1PhrCjDldzVgk7aSgNo1ABsSKBShzvKha MU+CTcfzkOEESZDjTdicOax38AYxYgw2MMyIGY40jLivwSBJAFwDmrIhSgxrwxUEdHOuX4mxlrCY 6iWGZREnCqR15GUR8ALRYSDwAivz8RCrEy8ImImwwjMCy1ZXYsQgrK0BkQ4rlZgXg0Zi7X7ZgHXF dp+sFPBuB8ONu5EikBuYiVjDlPh3xkQ1OuQ100vttOTnGOxI1cEFr6KX2mkp4OlCgzBRGCPWs78e qRHziEfEhjEnQUG6QWxYBhpbjupmwxhpSZYk1LgYiAsDqJ7dKMBjzwfGk305OY7jifJKrAiJ6mLv SCRvHiEjiRxL6IfDFwUxpAsFOJ4TUbDmYp8JQQ5Ve9FYIRsw3mn3y8IgzUVYEokNyz5AME5zf1fs gxUyrKeiOYitmx/EaQ02/2b9oHAGrF/XvK4GjPuPsohuEAvG/qienXXcq2CBVDUuRzYRJ8NxvChj XxN7oZzM8rBxERFEtaOrZy+KFbDPLImqP8/LAvHZAdZphFFVHXpJkBDEHj1WQAw9jDchAVcCkEI7 UgLZ1jcYciAxMkLVdVkVRVLwwHelqAQC8ZYYQQ3Z1qBsBHVD+/fNRlgrw4+bab3C029UTtJ4+m+W jcJZsa6D66JAPBaErVgUWB4IxIplQeZ5QKyYRwInYW9IwN9lmQXxJmzPSARi9cH1RmrFGG39Ou+/ RSuu/3ZRlELnmVJEr09HjRs6xl9FWaz+Lq1R44k1tHEzdwNoqKhfv54iql4WG/c734bQUf28I4qo ello3ONxDaGjBo7N34iIYh1t3G8sG0JHqceks47yjbs/WsNIUjhENYaaCJCRvxivYdmT/55aX8OL CNbpNXwNy55CU9N8LS8iFG4oKuIBOQHVuI5MI9+SPQXYrNeKkoDkOqHEIYG3oAhS00RJ4EEDDNgJ AbuvaDaIOrrnDICQ4ysmG1f8EOV4k8gIgEUixKdYQRSBGGrMLMsFNCOqMUuMCHmBY6UQYw4WtmsL q/PmRJ6HEscbYcwSV+NsTg3FYdXjWtVUQrUsNIkwtciNWQpoOupPTQmetampoL+PziEARAF/5Ris niwfOowkBCxjUBcxB52xhwrZQ4QqSEWA4ZVQY8kI4sO9m8AyYhg10nFJLU4t3FQtrZWnAvmrMbXr JIzIFsyELViA71IPMIpalWbIyuQ6rAoDAEpCKJS/z2Vh+jdRweuGQgNBAE7Hke5wK7B4RhTJdOl4 wDNkpgbighuvCJdWaa7C0l6w5VvXZaSvUTsLAIA4/V/PNBQN1HtfD8OHdBxPaKydvYgXZ4ZGd8AA 19UZ1l4/WtNiU+2VqUGrWBtuKIAUn4776w4pHabWHVL6jl9vSHk6UK07pI17XLVBIKX0pDuklJ50 h5TSk96QGvke9cabg0YApeSkO6SUnHSHlJKTrtP7CaT6kRNdpRNeg0X9iIsuOdOAVz8ao6tVItBm SnG6Lv4lkOpHcXT5fu1IG+iW3YCRJwCJjNdguntDrVwnUFN/TdegPwRS/ciMhu4Kr8DGuXI3cAA6 AqyeDh0NXlU72DJ9TaZrFFACqa4uHI3mG1aF9aQ9Gpw6FF89HToa1jacNjfid22JZpti96jffNNm nZYMxTbFoWRV3JdpSVXU6cUYuor5xZUPTHG5bYq76pKgHkGXKmcg+2ctu1Im4NrxutIVjIxVIdmp vJLqdtg0z0922BStC/5ZvTh7voQ0r3rSLDZXFta76hezHE58wZSFk07DugZBDQJpiiM1DSuVxFep N9ETH0xQ9vUiPGmuLFKUpDi7Jd2nEb7nTXW5Mvxo+LWWzLAVQs4S4LCrCiXJt/FE9ZxlaxS58hKZ oMvXcC3Dku3IcExVbBq3Wye73Vh3TemWHAXXq2dKKi6fWKUuqf7yp3L+Paa8fk1Xv6ZbvEp3rN1C j8pZ9VU3+mat2xyeTJxEgsNJzNFvgFXZSLekKOn4aRaP14ErP8hC1axx/vn6vmdXZgwGhwbUTjHZ J5CYafGm+cV9N/gm0DOAxUzO8XLv/2fvTZvbSJK0wfo68yvyVduatWyRqbgP1fG+NertrtlV7Y5N 9dSa7ZcyCIREToOkCjyk0q9ff9wjLyDBC5CqixIokYnMON09/Ij0cH99slo9Pzs/W359cbk+/8fy +dV69ecNhuJN8E/Lc6Gt57qR4zbatPdRheb5/NXV5eXw3n+fn5w9Pz25XK7bu/xlRei6fO7ae/1B gnLjaE5Evl7T7HhwO4CLD8Hnx8raRnlSv93MJBmaqV5UxJeV1YFkLXix8k6byqsZ6c85W+dc5ULj Zzo3gXTsaCpnZ9o1Jrlc4d2AbjyZRqnSeaZDY6zOKlWGRLYjdZ+K6gbZcIKurEMzXRcWGzLKhqB1 Hg2Vjx4QajQVGz3oOdU5MYff3i6JFS8+fBhmwduN1buh0Mc/DgojsfREpswYhUFwV5CWGs/4sowq Uk0ZTX6An0xCKSufCnoC8GJHSY16jDgdzX0x8s2zN1MLdmutDcNuCptR3gxX65pEyC68Mi7HAtzS 7J7ywt2COUN6a4Jon8RzGD0oMsKNbrZywW2A6f34VFBVES+2SBA1os/7zyPdNI+bKKaflt1vWrVL mxOr7bjUQBQQJ18t/1xDo3x6z7mP16NV7sa575isU5OTVXedrbsFiTtIepcwHOrMnaQy6Q6SaDdc 9E64/CmlNE9+kouRrrjFsdbnV2dHd+JYm8zotPKNhaVrI/GVRUU6bQ4xpTBTFdkSycUYLF5v2ogw iVVNhoaNxGOa4IPx1YpLcQNNip7YGCnF3lK9GZnOzuoU6E4m0YHjRjPnqRcrdeXLqnJKmlTUvWmi V9riC6nAitRrC5NGwWinhz6jIMYQ0Fnfed327iDUkGYQE0oyZoemaExBJunKFPgLNUF/0YSqPkyS olHG3c4v288tYmzH6TY5ITjuvn0GcrmiLmo9/VyO7c1XECyCy4pnRrAgY88FAhx/JyAEF23IVQ8Z w1CzudGMzJcVQG0gbSCKzBCd1QQ6qyE65ctLlFNAk3x/ARlGhmFK5YaLZPUH7W3fIJVgdHa9ciOj kQ0QW00gthoiVr68HAHjQ/Vk19IcqhP9GcxDr7vbODwoxYyzA22sz9Suz0irAdY8L1C6DjiXha0A krW45bl8weS84uHrmfypFP3Qb5Rn6Gyu3+nydSnO3ZgyDu08XqbNQCFGUV3cS54QBn7hTHRWbmFt N/yYdFXsBjUqkpImrdJo+Y73Jsq4mHhQhrriicWQQXUhKCLgwLyIVCBQIY/Ixk0uoskuJ/vG0Bea HJk6SGlHw8xJOdPVrKVqGcSMR5NcqmSY/N1o0onZ0JdR1YNn3RSczkH2AmI2vpsytsZvA2dd4LnF yHahra2JBUEKHq1Dm5g04I+ScE87WmxRyKXjdGmL0z1MENY4DkjTU0MPrW3D7yc22rd0QRNHYQ62 LL8wyud8a6M7R0iGt3Ehj/SWqd7sDb29nF+fr89vNUQfNJoO4nsZ1ttWtZm0qndpNCBln/LIPam3 weMdNJtxNIpdeg7xg20dnr+ur1asAn5Yrs87DixprMccmCQOf6zbtN8ufr2ar5f78OWBBSdS+Ln6 +nS+/sdyLZLh+uTi5NXJCoX5crWprH99fr1cv16dv2ufb7PwQMuQOBfxRYPXCZFklrBQkiriCals FL4T+T2ESdZ0TFr4hXaB93QVWez47pUR3wcHrQx8xBfe2lWhMuyYpoQrUeOBDEjhYUmYkMEdJaVd lg5sWzjxdxNzHBYedpCZ/SslBYw13J+xNPodNVyQSUgBQ2od3zAh7azBr3Dpb+kkEYOTKjt7CS5F HknG5ggYsiVFg98A01L0ZFiDXROQdcL4HSlFyYFBYjM2ek9Kp2uic05lwhPjQfnMj5NZ1jxnknlh gCLCq4nlkSKEhCbaOF00kfzJg6L4o3UpGAcFGVGBJ0tyiCWVyTJV4vwsqLq5B0PSllvKRsabirTS Qibe6Y2mQ5amo2HaI13byEswH8Jm24ZrZGkL73m5hm5fmwW/YzRW8ADNhHEXW3RrM6rQDQoKP1eQ 8s7mgms7Wd747AXGpAZV/D5EGmCMggJiEu/MbAPfoKEICVoesommdBF9mOxCB5d5lirzoEiHltfd hkpWWwuPiI0sBsM6j8KBdWjQpBgkOxiFw3sDaZXvrCpDkhtHBIACRhwGPqs9cT5SC4n0DSl+8HfV dJcIKxQGEhKy9CrRx2wsmg6UFL6VfVTtc0XD83ZG6viyFoZAahu+a0vUOOQhZeHRQ9PktrBJmVYQ rQEf2+Ij9kFLQ5iN8CdDXZex2BH/IF38FNMlhZr0iDzjybQTJt0MrwYtab0Ei2iCtG4Cwcmzu608 ruFZm4PTpb2IRRy8Z41PR4mgUUBH8pcUMiWqIcAEK4i+kPpHQ6PlwkqcSrogxhR9T+hFkzEs02DT RxFrcUU3jKZFf6uXCQ17182bCcsGqRBdITAzKm9VkhtGSDLqLIqhV7oDzHBIxD1nhWPLKvFSgRo2 kz0QqIu8l0WTsi4V1HQFrYJ0qX3hO+JwR7whhVGNbqUnmaQOUWbtQy41tN+sIdykJdWWU5Vpk7kZ e023jF8gqnUsXDBLWa86xrMxHN02TtRIDJe5trTOvLhrHXy6fQZmDAe/XWWJ/eeuLDWs2lJpWOol 1G4jjjBwIiTZk8pizV4zqehMYOFlgu1ex/RlSUcMphNMPL8imOoNnMtqNC3SfWiX1wCJUtaXOq7U KbRNirjdVSeX+cXSjynk3+kZU/0U8ioC2eDlfhnkrip+pIdAMxlqKlyhMC0oMTKiovf4spyC1R3T GreuSbyMWA9xzVhmEWJbyW1UIiZRKklHzopqpmPfjYzJ6xZKhc2aiMqqZ7l0vWJiwpkX5nDgUjV4 rab1TMZ2zkQ3jk144ttO96wvoE8PjQBPLUnXGIesD/stVkF4T+xY8T6C1en2HasL+Szai/KNv3fb WeNno2Jbm11vNsfyxiZjdu67TG2TZ+03TYVd+9Pj3Vn3dGCvTOxRV9Uab5hpXXrSXpR9svHw/Q0P sXecN+5R+bhxq92L1hv3y8715u1ue9Fu7Gnfal5t+DiQBnB382qw2dXubu1r7Qxp4NNAfvPWwyFv 9oR8/Mwgrzdh+XDQuz1Bnz830G+Wezjow36gz/pzA70/GOjTnqC3nxvoDyZl/Z5SNn9uUlYfTMz6 PcVs/tzErDmYmPV7itn8mMXsluINf9yDQX4/KUs25GcG+U3R+HDI7ydko3rMQnYK8nrz3oNBH/YT slE9ZiE7CfpN0fhw0O8nZKN6zEJ2EvSbovHhoN9PyEb1uQlZfTApG/aUsvpzk7L6YGI27Clm9ecm Zs3BxGzcU8xu77I/JtBvwu2Qe/VxTymrH7WUnYD8wTYR4p5CVj9qITsB+cPt1cc9hax51EJ2CvQH 26uPewpZ86iF7BToD7ZXn/YUsuZzE7KH26tPe0pZ87lJ2cPt1ac9xaz53MTs4fbq055i1j5qMbvJ Eg65V5/2lLL2UUvZCcgfbBMh7ylk7aMWshOQP9xefd5TyNpHLWSnQH+wvfq8p5C1j1rIToH+YHv1 eU8h6z43IXu4vfq8p5R1n5uUPdhevVN7iln3uYnZg+3VO7WnmHWPWsxu3qPyh9rAcVvy+r6Qf9RS dgLyh9q/cVvi+p6Q95+bkDWHUi2d2VPI+kctZKf2bw61V+/snkLWP2ohO/VC/GBUb/dk9f4xC9lJ D+PDUf2+vP5RS9kpqj+ULevsnrZseMxidpLqD6Zb2j3FbHjUYnaK6g+1jeD2PC4bw6MWs1MazsGo fs/zsjE8ZjE7qdcfjNfveV42hkctZqdAfziGs6eYjY9ZzE7tIxyQ4ewpZuOjFrNToD+YXr/nedkY H7WYnQC9PZQjiNvz0GaMj1rMToH+cFS/L69/zGJ2yqQ6HNXve4AtPWZePwn6g1H9vgfYPrsIRPZg r0r2PcD2qEMQTW0kbO28PBz0eyqXn10Ioq17Dwb9vgfYHnUIoqk9nK17Dwf9nrz+UYcgmgL9Aal+ T17/qEMQTe3hHI7X73uY51GHIJoC/ZbofTjo99TrH3cIoglr9lC83qYtZ/H7gT59djGIDkX1BPr9 qD497iBEU1R/IGvWpj29z9I/URCiYW6eLmmMXLR/hkldtXbdqe/LiWzR3nhrs0olkXH3tdYR2YeU 97M6NMEEyLut5K/bLeomRMthsumn+2I10hFF52feIaWSVoPceSUr5MC/djvzzm/LdaUnc9ncloSH W0955BgxNWyTyAQJZdjlSx1skzJSTunMOa5HMaW3cuBMNFva05lUPY5I7gm4iHJvkD0Pwa1GhMmp QKNtkAmvkSRn8g0oiMoaU4XUOKSb9rNED6pgUE6ufWiiDzm2X82gGn2RFukCVQxS+g1q6LYlPehB l977CsOxjSONdwHFwQYsCux4zCeWdj9HmmR3w2NJkL35vI1zntKGB8xWPlKiQ2ezT1/fce1rN5Gn s1/8y+vl2fnR0e7F3yYqSumQOYQ2sgbO17dkGWzhE1z2mxR3WkXdOO+Djcg15rXWQXnOcuMb+pIs ko04ZMlQVCQTBfhEJFXzlQ7DW1zBZ85YwnfdrK0ZTH+rq6BmXRVboaDlhASl5eCrUQ2+w+U1Qt13 /XNFH5KpxkPi8ivkuNkk1puDzmsM+B4Jqoxy8xQ38Z6SdzSULmXnVNKpcZbgOyU8HpCyiS4aImWe x4D0JnNu0ZzM08kxRh1uGuMtqY0nyIlo3nmWIkJOzmsmJ9ck4itRJ2QsyNrHZIhVRReQRwhJOUhC 2Dy8xTU4T4s8DUjiUeoiCUN/s6+kZm01ZSsui/SDpfWUczWuJPeoBnE4yMGqHQZXJWkYquHApPgU UXU8KPiN1MDbaRCCt7vTIPwpH71SJu8muB0kG7ZyXGfkMTReT6H3yc2iSyGhKkm8ohiUL141pB4g 8Yh2jY82+I0sC5tEOz2zm+fhds5jQsFjrua3XE6ZEE1AykjkwjY2SAqPaJGSiOQbEs54xQmXrAHV NClKhhgfJYsjsRROSUKF+bvnbEZUmJOelFwryfhd6tkOxG84MBwA8V59fMS73MSIVHEfEe/p/njf ckkQvCda/3amDY1ZkuMYSW8UkaC+7hBPtghnfwrI6kJkjTxBhCBW1KxJ+p6Y9ZOqx16Y3b0UDonZ 7BIyDn081PpNyXMX1G7u9Alqc6MNo5aYdW5zzgJ9ifOqRdK0OJ8So9anbkkXvEvqIpedJt2aGiOl Ns40hkPaLX13yTh8d9QafTUBGcg057ND+p7CFRTnzStchDPSCg+ZgcSUuSfdxIOLAr97Kf2hRIHf LdJ20s3W2wymG02WTvCBRIEPnCMtmhBmhbkX3i4pu1r2zwXqgtmO/ZM1fU+2QHR6aPSG3cvpkOjN BCkn6DWZtIuDozfsFly70Bu2NjAFvUghbswskkYbNS9LkvipMPLA+Jbcgzq4wEn/nDAK4zhDXmEb yB1eaZqvpCvzkayWVS/uW1Ug2wSeo63jZGXOcbZH5zRzpGiRuUxLIk+CIfMHJRzIas45qr2kOdOZ uQcp8WBeWfKY0hDvS2P64KInfBpt0gcyB5jGrEpefwQau782GbZO2QuNkfpvIA5cEwKLF2clJ2Lw ktUOyl0hExYMZDpj88drd0+JsOF9c7u5Gs3dzdUdLXwCVcNDPNosWmTQMW3maLsZ3zsQvL09c/NE 7890/JZLTst0srPG6ZmJDXIjZ17+XiePzT6NhISRCSNH6pdTCRqdo2RNpGLacBY/S5xLe2T2M9lr zgoLHq8DbmmlSu7EpEi2Jb4XAvWLRPDGZ05HD6ahk8qk1JBqhESyJJiNbzxLO1JgfGrTT3pHlXCL GCJYJt2y0IdiYXQ+G8l6SKZSQMZc6TsQO2XmFqOSZLfRKuGknFyZ2SUxROU4323WjOZuhMTpyE7J uEWWtLG2aFPexuxLSldSE0mhACel0TpJ/ywFwGwJckYyUAYXk5ckrbQAXfZthmcR2DzWLKMgODHX J9xETmyaedJ+OD+ZErISD0YObo48nlWHvG4EVEGbgHyxJGyUz7brCrNzIaqgSYYYK4gbwIAmIylr FYkbThWbaaySuNSGYDIKtXTRDRD49t7xPIxROVpWWKyTFK4pJtJyJZ0o8aHMWSCZSHyWDJSaVl3i PbkVGlNaUmF22IrIQ24kT67SXniaBWPOg6mB3SUvOUotLWeTu2ItpiQjLJaYoHxQk7DPFRGpOgrP zF6SgxL4vYJuZYgunB1VBNkaWUIq9DTGbREWdMZmPRkA3gkdOtbRBHNdEbRMhp/v6Amoy97QtEUG O1VWmFBJXZBnx/21FFzGDhwHna2k8qUbpHr2tNHPcLA+iDKJhEKBIJkYBaU6Sk7yHvW0uKivAcQK Wcck2ce5tNNsuJKiURKWBuIAOjD7UCR0GPO0VAIyidLyzVjBtNoj2A32dmOg9YYUpEZFsogzLB0q riSnsCWdJbKu4hJS25LF5eFxAr5D6gunCN+6BQqzAflf06ywrNjdYkWopSumYM4nHy3pUUFWg+Hc 3QXAGxBRKMOAQxlE41CSG73do0Z5oiZMl3gMEfWAVjum0pHXkCwKlLEyAcOqWz6GStOVaVfhrOXq HZ/v1mnJCAu+7J1Cw9I5ipRFWrd3CB8pWKd7bCqrnExUy0YEMXHBJQHKMkK8YkLQJEwJqMTmyarF mE2muh65iBVRvuH3TUQ/PNNkZbkR23CYO80zy16IJnRN31pJAtusRSdmHhuqDrgjRt+tibJOaKqk UItmLdBlfu00M8egbeEWvOiGXIXZPxmuo5XD3Np2jK+DOozOBpFFbShj7bivLyyaeXrHa8c8utxa cKrdQNCVSRkiMUIjoZxpGg8j5y63DQI6hn4G993yU/dU59I93j7saOHTmIicZ5mUOTJ9VDyAMhfD PZW5B+wZbvk2tXvFCVmaQxOIpxvPylfKKsi+IVJNE2GQgADfcJAcpgH7LFs+3e5S2VzCq2+WTtD+ mUkNjATbfgVjADMguyJn1kV8ktzWxHw1W62JCZFasaRdLsCGZEFYR+1nV4FBiQZBwwi4Y3n5z1iK keClO6vSEQ2ZWP99t6fSvan3phemd6Le/Al2tIl6SWrwqnYNaSDOHoB+yaK5F/2mB2xwbXnPiTFC 8px0Sp9nuQFLi5KHnHdBeHM7Es9r90HUYH8kGcOPoMlbLSocUQlLd1PegDgWFLnkpWfSXXVt0XKI WrZUEmvv5X1KDrwcuDReMLPGnFMgaRPb6sV8JkUks/xOStnhpls7SFmAJNaTSBvexWGtQGSN0zoM Fhd2f1kC8fr00aftxnjnuB8tt8TQSKJJa9kevKfpHszunZgdtL7N8u67Wj7Nbi8JcyOrhfRBc7/t wB0D3961uHmiD9jL2Yp+xavFGeLtFqzUgA4zqcKiihExa9JNWCtTbDExY1d4gYTdqgDdj20tUkeD j6IgaRujkB8Z2WLeBN7hIxVCKS+Kfk7wopIWY4gEWFZdSYlhUifhQ+KF6ZN0VyhOvFxUZuWP9OcI rypaR86zFmshMVjeQPNm2QFfKzZk4OOixTgntczDr4kMew11CU54UbM965UVK9RhjwGNR0/cPsnb bfpClCUiS9GCYqFFtpMYSGQokh7cV8HatbIrSlxVi8U0HFDQbEyXzuvSlpVi1ouSz+P2Yu7por9l 4mlxADP0RHXlRZ5RJHMBBLLpSWcEWEjzZi2dEMEiVHCGwTudfRY+hwxtuEfANWzAk2YIu5BEviG2 VEEvpHYN0QbZQWz8eCK1wEaySXSPBwKBG+gONZOEl9EsSfoLALGdYXJha1FhVKSBKtkSgmOccQwu AqTsawiO0QGxLFcIkioSccKLzNGc4DIDBdVBjwYT7SDQg90SPD2/2IZhL7s2BGGxjWGnjiiwgIUu LGQEeoS2KyhlQDOWQ2SDTxMwLUjBpezxblUD4lljcg4aiJN60ETEsOkm2nVN/cLgLu9bCq2yTZDJ imTFhWygkGSdGZIfYnUQG/dBNC3eu+LNJFo0hfwAY886DtnboAVW6r1s0BDGNG/GaOwS8J3A4oAU tUA8XwQayc2yT8fEr7vRMm7J3CSzkhtziq0BHFGNPKcCvLqDHoQpFecdL1pnVvDgSXB5sTYSE6yQ OhlnAiyr4K0nCiCtfT1YCrJXbotYDFEZEXzByTYGmdMxFPRFMpVfVCaS6ItgKqTcWh9gI9M9RWQE 2vZU0lkCMz11juwr3CLqJDITJkWdkFhlKCfCp+/ZEI+KQDskN1zF6ByKwaJXrLhG4glRFh1xDl8Q 6bIPjvfIiPaMGG5knWPdpZCoN6BR04LLRvasLOnWst+kDBnEqBpi8kaWHKESjK2jVkP2eJQ9OEd8 R/aILG/POBqYaNikZLrA7/6Ikeqyx0BLtu9uMCFu2rLe1IOgrO8hUysVWp7phvcgC7Tv+xHqjtSw zIzMYOOEHwZdBIGK8pI74RUPU6u2IFJBEJOr7BFAGPEaImTw0Iu0qYcD7lmutiYUOg9lP7rFdru6 eHTYUfIybarszGy4MjpBssXKB0jpqaMvNYANuLVUNKFsrhUZAHARL80tczf9uAf1OrloYyo+Ph37 o0VHKvFQNDkNG01WUAxlAXW3ikAF4+AdK81StVBV3TKwDlJKBsTilaFWdngwFT2ij0wzsWWHJUPB 7FQKlArM7Ev/IgYT8UE2/wrbHoi6rqchZyqrgs1MAV9RPEwvGoeqCMucxEwwGrE3BXwd62bQYu0W ZUfbpAFTWpJi7BLjkz1waiKUl6KQpYx7jY2fVeHvSTmGQk8JpDM4p4e4EkFhFRsrPaF0wo3WUOYN p+4OXkkXvLWroGdJTIZpABnm43BiHmGKwct6XXunXcnEMRQxBdMyGl2gFoG8jhZ4RMSlvS34JvnE +kBfB4BmW6pjTuWOxiqwDFMeo6zVDaVOD4XwsJGssKnW0mIvsVjFog5skSFGJ10UicqQMITSS/oD 4clhY8A11DW27R1Nw5DwAVMmmeZIWTHwkiL1GTsMLoP7eLzc8IMbAVoSqO3DvY4ofPPs4pr+fPWp P39fXlz+nYyHM/T/7JfFyXqxWjZ0fcA+4EwegsNfHb0a/sWHWIr/ijhOBG8jBvmVwrvb8FWlDjiG nZ+ri8v5uqq+upivruc3lLvt+R/08w2hunp/ujq7+PbJ8eXl2+fPnr179655Z5vz9ZtnxFkUCONJ tV5enF+tF0ucKKqO5pfz+mRxfvbtk/lisbwoJ3KuT5bv/u0ch5oqWlmO/j1pjyHhsj2pRNff/eu/ 8GGpCpbut0/EzxsVn+DcE/1ec4TzHbWroX2MAT1De29KY4ur9ZpM4xc4yrBdlEr+yzdC5dVCspVU fLyC+qTGual/YcOdD55oUn3sdW0WUPjAGWpLVlRNjKWmbxHboXbFL6mhr9lF3ehI/6mETfTf1U3Q NTGuuoHdhd/lv8HfHzRqWHpquMnGQpmhyia80DBHqkhmTaXhfw02BPd+lX/WfsHvJZtcGfwc+2t/ bK5r39ADtFA3uTb4Oa5p8Jb6X2CIEHexwmkVmGeu4j/+w2mdq7hgpZ+GiCHQuG1Ngg+XNENHiiex XWqPZvuzJla3gEWRiPXV2Gx1qQbbzMA6Bk3P0Dh+6CGx3wqb4VB8DYrV7rjGixqaupO3SgCuKe1X 5oPg8/fkip/PZ8z/z5aX787X/6jPzuv1+dXlsr747fTV+epksZdEYP7vdvL/6Hz8SpM5EKEABrpv lNPmC///FB/m/+1Z0dCzWVxfL9cXJ2DytEaf3EFIkDLTcc5TYlbqmhmQ4X2nBXYtgta8Q0SqLFuZ RgcDC0Cxl0fMJseaN1XxJjdEhy+kquL9TcoKJq5NZDY6bOt7uum0Miucp8kezIMMMzBBYs3gatJv 5ZscQlqwfSMvkBTvX9W8yc57F3hblOrO3Z206GyucZDBZ8sDD5oVbzGN+Qvcg7rX82wr0CTQdrZU G5Ok0prNa03qoKVhJLesPVvGsiuHRRDRrSKtNmOudEe6IkXScCNkCsfAGz4xMejw+iodc/saL4QX fAnvDg0dNMZlLW/dyQTUPDJ6CmWcm0d+Z75lMe4Pp7C1Nb/HoJ7IZFiIrxMDyZvyChr+R/xau3MS 9mzEEhQZLDY4z1hzWkyKkNhq8DwnLl6X4h9O4WIlm7cweBcAWMCbexCB47d9yP7NW7KwuCvZo2W3 AWIQx+28Nc87qcj0opNhqAlqkNKE/3qbBVU+Ejl4uGYzyki5zziF5RNkVYajCFENUZUnSX8MmGSL kUWii1T2D1CRwOh5Zpa3/bAHG3mTgiwlfluCU2MyrsB3yNIIQvAu8VywP+7EZGd0kp6reIiBWB7M Gu0ZZ4nMDf4OEmTpKN4OsFC95l0Ql9k+ppqQrM6wmUOWB5dPwZs5G7e6Kn+gk/EoGfeWqQD7bTxT SzhgWiFQMWmm5JXhXRmy2njuoFrGMtH5MbrQwU11UbPfsELZ7Gh4QqCJCDTJvhTjgJR+DJwPofAr OKJfQj9AYiMtXlq0TvOUE+gGi5HRuWDKFl8T5WJ0sp6NlUayVYwpKYxhO8M7Y9p06yLr4sujwERk dDgYV7W0VQ+XprJe89L0RlBFtbyzzLTIyK3blSNzs5kIDQsRS41njs1NhqizqrA6GXOOqdTi9xrY NIlxB0CVAWfsoCQNRyX7rk5Hx6jKKTjmZgRiRlWhGvj78hL3mHnN+77Mb7W2KciYGKDtpNsh4ZyY i9yZlQ1/atpwXwn8iLe+DbN0Hv11x2MICj1LJJYdBRiEC3Y4VBqrnht2tGTKxHKWO6EnCJxsNRls E+yd/3IzWRacjjJT4hyJd5AUeN4OwteESiOYjNbzCHn0TGSZkNFSauKlRBRhQiz4ZcbEboA9xssd Vqajtkxf4G4toRkjb6ngeCokRNJKJks05cOu9SlrmF2bCMY8TqLZKPiPmCEPlGxkLVIEiaBlVLol Es9Cg/BMi6dj7nUZi4AuK5EOmrfUWbIo5kH97G4ApgpAHY+SeIiTUfK9qr0n4CQun2W1BV8kmJK3 S+g52k6mVe3FqhNuerwktcgDpS2tf2YEwURmIgocVxYwkTAzfaVYJLbFuwZ2zYe77mYv1FGGYFIr ZolyUuFeUhQv+RkrIY4JA3jC9qKLTLSuMS3xKhzKlkaI08WOD7tueVdChsbJeIw8sVmmGrDfVbXI 7YhDMEAEU1zsACL25AqgR4aHt+POqGLauMWwmgZR1ULwuJMhC9JpVK9wZBeTYAwBYhniNvVsVZAP vvzhSTHV/+T586TqDHQyhmH9DfTISHpTgtkYMhmxobA6U8EOx7aihkWLF38GsTkw1sYxp4VfKN6U GshPdgoqDLcIBsdKCWsaosAx4DRDhEfNqqkSKrR2cF3RnNnfmHU0hx1RYvqYH15hKN6lj/yE7tew +7G3zduQjMPMEoH4HPgFa4Qq85CJsTEHd8SpuYGseGEw/QpbFJwzG3GsVjG90DOUENmXuYQuii3K KPHw9CxeE7NpKww5eItW4BJveZSReQ9esRtxBKz5ZA+eBXlnyBI+sGZoIz+NlT6uZYlwLUg8IIZ4 NpR2RkxtoW0CT4nQSOLEMqr4AlgzF7V8q+lbbYhEOBYF0cirJX7K93q9PDtark/O3nz7ZH51ef6k Ojo/PTmbn13Wr+YXSxzvbx9skNjJ6fzNcrv6xfH87dRtMnqP6nYIYqfS3cvztxM3xaXjnMbwejm/ vFqT2by8vKTWLp6fna9P56uv+eH1fH2Cgc5Xl8v12fxyOf14MX87/WA5v6DKF3Q9+Xh18oY7n658 dnVKE1xMPnt7fnFySYbe9kPc3ZqMxOKoL04+LJ+rr08IVFzuOSD39enJ+/rVisBZn54fLdsqAuXT +frNyRnVka9v50dH1C59v1y+v6yPlovztfQ4DkOy+RS9S2SHzSeMiueMO3l2Qmg9u2x7OF/DZ0YG S+NclkKdu480+u74BBsfxJHa4YMjPdadqPH+zz+Wv706n6+Paiyeg70FuGX/B6+qvsKJZVKnnNVU DrFWvuz/fJLPXff/d2wRTW25L1bzC2rt1Un16qQeUdTGKwKSYtQGvwLrNtxVFeaGJQK0DmxhazO8 UZlr338nYWF+MMPvJDpOSfMiUXqN3fCKLJMEYUg35N9x4+dyxVUUitYoXm88qMuD46kH9O9HtFml qUe7u/5+1LVFFBXueXzf0N0qffjRVekerfkdrTlubec0wt7TiDs6DmUa6V7TyDtaSzdPQ9sHzON+ lEAaTGU+bgc16T/36UHfvwuA0XyK9aFZuw0fFWA/5io8rL0NogNUws6pxAfMZIN6eTVsdxy54w8/ +lvmsbGydrTmb56Gufc09BYz2dGzLfMgW0h9CuJyuKPVfebi701dveL3e4vpj/YZ638kpJeInlef vrWHcwK5Rf8zpPVt6H9kjqov+t+n+Hxs/W9IUbeof90Jj2+flAiST8QHA84F/mftxnrfda3nWnam +Jb+mUod1+Z74lkIVyK3ibP7yv6sf3B9YWzWXOcfzM9mQ9X0/N7QNVmjXojEfZyzxB+CyseNMySa iV+33MMaOHFE2/jQYOel8BS6aRrfdExGxVAjeGrjcoMXaMJhNO7abJrgm9DxHeeotvZ9L2BDBjvH TWhCVzdb5mxdJ2gu45XkD1RR/4q9OKpofaPhZ+JsbFR2NZzgGhPhcGKkf+3hn5FQFhIOXirJ4xAy LlLjND0i+6yJxuKVVWOVgx8wtrxwYnre5CYX8OE0KKIYNMnCiUNQ0tAgXUxNDk0O7b2gM86+X2NW HU6ogagTPJFHbTqE2eEJWRwAqHEKFZtUc92w50jbpjUZ+32/0kxwLhCTTgGezjVeN9JkasyK/yLu IgEswk3HW2qI/RnbhlyKrVfKsH0d0UKwx3idOW9caFyHcK0gudOQMgyhmjBS9eRJMI94o93NDreS A/2EHrWQSCAfTHJIU4QMmqPOw7s1fDxpUMY0qUndvcg0mf+/Hxv4uxMpZQg4IrNwDJf7Fc7440Ux ffU60FcXavlKT6+lXNQeXkM5Z1oACe5NGtunPkOzUCbInZrv/KCuHV7XOZ/aKkSr1+4Yb/Ov2ZfI HDdJ2V8b7HpWOBheM7EQMeEiEiiJ3lzEqwZ2tewAC9epEOOvPC8Upj5wY4Q0rJqA+rEa1a/hO8sL 47Txzste47yDlRZat4k4BY4EtDd5JbhhMRs93kLS1EPAhJwiEIXwK4IoYZheY/+ZYJjglqD5LxHt H0R3GMv/xXK1+uXy/N1y/cur1Xzxj19cOnq7tyJwi/zXwZqvcOpCR628h/xHLNIv8v9TfO4q/5dn 81erZf2KiOLN+vzqjATz2fIdrxGDf71a4NLb95u+oFKi6BBSoGzPl13077558922R2jn89lXxiU7 ij77Dh6C38i/bvuI+CMCdvgV3l3wC4wXJHvcjOQSjrF7hAHPvlxdwLecXRlwNk7Dy9G9RAu0gF+Q WIZzN/1XHGrcylX6CQ8QrHvW9lXBTuiHQJX0DK5JLx0xvxlJSvfCNAidi0NH1Ar/QeeZOjKaS9Dt EAaDpgeWQy4aqudp+DHzRfqJn9AA2fVcOhr3r63MYMUtYWZwswl82o/jI2G2LssVpnyBV0T4nnTd 3VwNK/MrIdSCl5W2ckXdVD/h4CuDqe11YyyYFk9wMJoXUHCizEEDiAFQ4KuEsUSLWeFFUtYolVeD qrHRCHSJCglokItEI8EThnHf6cZgCOrFP1a1DrI/wWE/zxKeAEASAQUhCvjUGI5Jef+SOk8whVd4 JYfXice2CS+pvXIbket1TepL9UIjigkH152hP4wEfz9UP9LjSGNbaXabZRI1DvP7AU8+tATN/z+d 2Bjz/0v6dmDn/69u9f9XgWy+Df9/Ug6+8P9P8TkE/xdP/95Bf5v/b5wFuDf/Hx0keDZm+Zo44w/+ hQWLxQ//9dfaLTjLBA4GEb+ln2O6xTdmhvkZLf+f/QujuYpRYB8zNEZrFVFK8g/+Z091ftaZFyeP rh2R7QfE8ggBUHG+wG2VNDtKqq0F/7u8XByv/4v5JWmAJ5fLX+ary1/4TegBVMDb9n+MiUX/UzFa 9v82+sv6/ySf31v/+yt/9tL/ek4QoZGZH3SmpW8bMuWxbTGLdZxFWG4emoeiRc7l+Nfgu8G6N4hk 6n/WYcE6hprxsRVS1HBoBbreCzyHtmNT+5tvSEU04SX4NalQsAtn+LXAgepZ/wtniWYcs8Cs+NDL DL/gQFNK1FICVyiEmBt8sp5/wUGOY8xELToEft3YhYamiF83dTHdQ3XHLu40ixUQkviXFBv8krJc cIV25DDQoivA3clVaawb2AoD5SGT9q451s9Nzb8kdMMY0Dc0Xk21PoDQ3Yb/QuO1CHvUgjxiueoo hMjFND6AkHR8qRsuZWzVU05vErzsS1I1Mi3EPhjo1ZO1uoKsgXpaCY0OL/Frhq+jOk4zpVQvu4K8 JEhfpRKGBkhPZ2hwsqe+IGqJATOyQqZrtQV7Bfiffs/kMX3G8n9+Nl/9dnmyuCjbP8YdYPvnVv0/ 2rCh/yOu5Rf5/yk+X/T/B+n/fkOrj6LUm62CWm3q/56Lxk9iUtyO/+nzn+9O1svV8uKiPp6vj97N 18v66OQCBHD0kBOht+7/Rr1x/tMpMgm+rP9P8Nnv/W+b+3LD2XojYZukcNQxydHHGeG4+h6++fzB Hlu5at/lxkRldDW/oQyt5xuf1jc9rsu5x1mtEaZjdPpgGP2PL1dkE/+5RtyT2rj09MlmOro27n2W TmbG48QDETCixMD33RmOVuP5ZCOxmKpGCGWfvI/VNV5YaQTfOsZVUhxJDyG8suHQRoZDWVnEWUdY ToOTivIMr/EMdYjGOeJqxLHS9rEZNHgtUSK1SRLeNzhElJfIwJFPpyB+MJpsAuJlYoDd9YfOw32Q qrH3zmcX+DYt47dPuuysB4FpIlbtrcBRk2bAAcEcnxziqEs2RUTv5ski2gCH5ck4h8KgMwg0ZxDl 1QFcNQKh/a7zicgsEICZQEgBzmu6+nDn9j5CTIQx/3+3pMEu1/VidX51dFGfYaHvHwPgtv0fG9UG /9f0/Av//xSfj3b+PyL4Hr91J2PZIp9CperANy2CvdnyRX4rOZZvynExOUjmlOUwAXx+rDt0iINX MfGRR1rY/GI/msQxFxXHHokRMUyClcOnFl4gHAeLY0NlmwNMzyARLaPCKSXjXDnEyielLLFHOcKu +Ix/QDi0moO+G05JZDWfII4hcdsBgcmoyZwREEYjHiHioNjIWwVOzhBqxUexrOZDZMhOgC5DeZ5x gLVWfHCbI44hRjV2Fmzm05nOp+zxqtLxwTDcDvxVpw8j5sX8a+PoUwkPi3Mzi/nbb5+w/j66/d/n J2eD+8we6zbjdD3I4yuH86bkfY/5VPkFB3uJEfFkGu20ZJMKXsNHhGBO8AEwORYix0FzJMnwSlEZ DoycjQ38LSNbKbKO1XpZR3ZcAVElHOKzOF1mKlcujgNcNUjDzxGH5irOt8xxGnUqX2zjnctVXtYc ydxb7Rlh/O43xMA+LfCMspxvCvhBOGoOuBpAKIQVW8MVKeIVnsMxd4sj7HL6ksnUtDEK5JibELTV IAknsRWR3wT+NEQv7IpjXVr1p7QjiWkJs2A4VqBKSmEDkSgiGDneZ3CwkQOE4hWlEc8XfNUcr7/S mB+SDiSOREH9WAAVcwfl84llfDmuBWQcQRHOLDUWVfIp4e2oFvB6xMssZzzRNR83zCkL7oTuPRYc idkVThIaOdTbHkU1mEfNuRACYmk4zWspO8PZQmzUmgcVAAuujG/xzlTdW0K30+2XkEJbnw3/3xV8 f/THiP+2W/57Wmob/r8uKvtF/n+Kz0f3/xWKusPJr4DsNRX7zw3cci2ka6W+7+9oQ6IEOoQeFEOM aphJEA/9XVWq937Dk+WE3Zc2hnc3u0an0v98o8l6q2upvll5Y9hcS1r4kZj6wEUZQVRwAt+uqAbO +P+KcBckqwJCZJDMCQtSkDKC3TTaGGQwIxvRItUjeyMG+O+yoIB/YuCobLS2XiacEQlmhVAvNRxs Fw0CDTQJYf2FEaM0e7Q49Isodp6HSXYjPHVsjU7msLda91Q8tCm8zJUZelnX+kdTZeoK/sTKSGs0 /0FVmkeNCWEUeEgz8uwDDbdW+OJSf/Ogq9A60vK44AUaXvJEqrTiaaCuH5as+5IVQot2DtVts1U3 DB58jWm8NFUsM5BmzGmsPI+eftn5oEo7aaHl9m4BT6qGI+kBSuCHzxKCXGC8DP8aCGjgmZxBg4SA usdXDaABAzVQAAzULZo3BsMIoHm6wfiJzBD3KGT28bWIX8iRCEfYs0APDWGBlSfdODhK2xibwC64 Jn8/RAECalXwcFohpgp8suEh7SKiJGxiwJHKhUgUdOU4MgFNAa8ASVvACZ40nATpBzi0A9AgIvdo JljhpG58+NHBud8hOMPQ+R/Bv9FAwGpx3MCv5coiuhGcfd1w0uwYb5JdQFGB1y9WIsHG4xShDG9E dpiFzGfFwSAwX8wcDY3mjLxyiH4QQhyTXUBi5TAkOqCdTI0VYwSomQ/9xUOQaZ1mRN6qE36PFxcA wsDyY5TWQCla3xhA0Fuo1LCycKIrYhUpBNHXMrUNXIIasS6BTCFHQiZH4yBsNoijNMYmJgAA2fTh Ry0HMrJNw/FjbowxTN8xxsoVuIUNY4zJ6IAwuLcnIAykSsqp5Z4xhBEeMFIZ9IonwwTKhDpGWMUI 4+CXcVHc74kIHIjBYQWYDNCNeBb4JRAHsNdjxDERyuRwbiUPUErrYSX0SCMY8x6sX+YDOOpB/ZEa BA7InERYCtg5sfVa2DnObAiDBh8UjkKMkM9LEFtZEDdn9DM3dxz7pBRmZg6WAl6OpQ55AR47xJwM iBAHnOHszYgws+UwfCsgCKGMfiWQJuZmhB5whAUvJ2DJ86rq1vomPTFvWLWso+64ycaCCgzR6Mwm PfOiGrFxHCmgmcuqEE43QXKnhpcUQq2Gbu2NEYwltGAAwZ0frJB4YlnDerSEsHiYJa5k8YikEA6x RZHMQsAOmRUKW8eZBsdkx3zHj4ieo8iGKIuE+VrPFIUDVJo4RDY4Yz3mED0lCkflJjb4LfewqGU5 MSf0sq7qfk1vcnThAqu64xMt49hYVswBgbYFryicY3J82gPuuQDlWAg5RlzHzaaY+yl2DyT49nCm IhpqLYy0HmOzbper3WLH9RYuIdSEJ65asQa1RbjHljwQ9rJgTsg6UgIiO240lDY2Ado4CZ+xmroD atxczdm1uyNr+LGf7PTIhv8fYjmfn9Vv1+dvl+vLk+XFIUzBm+0/o2KE/58xNiA4u8L7f6O+xP/4 JJ9v/icZf8OdXoV3/YvzIw6G9F9//2udnvxPosX/UdfVi/Vyfrk8IluQTLZ/L7ss1Z8HZmO79cLG 49OqrqkmDEyknqK/Mfn+Tb41vSmJ6/EY7mCScpHni0VfavmqaeOUc9nF4llb7Kgv9vZqveLHR4tn y9XylCzXi2fEubuy66PXUz3rnPMzZZ6RYKYS9cVvZ5fz9/XZxZ/aeu9XNP+dNfkp75EfLV9fMEhw gVy0YgljI3a+blN7cYHxLa+Ckner3yASlUCVLug+we/89euL5aW4Rk6Wcd0WGcexavOLqb6qlqrf PBv3y/fGice43fEtH9ADYqoHhTQ6Ja46KRPBc3B1nN1E1vc3pcLft9KswZBBslLhmqRbKO0r0g4S WWsGRqh52lf/r7OTS6KQq4vl+icEa/p/zv7rAlHkAebnx+sl4fBPE/B7dufZxD1nMzUZiFTl9YFn czvlhIg1pWmlkUBLga5Nf/0b7geZ2W8GMyYppR8wtWDDXWc2SaJe3Uqiu6ibFlFXpvG7Cpm9lsAd wJyMgJmIIyUtYG6vAWaNEPxWwGw03iDdBGac//Kp1YI4qbtDHGlTQR/Fi+H7Q9kmu8EISrS1169f 3wZmqhsm6y4Vfg4HRVegaBG0tkCxXBcoWkgSQJG0SR1vXIecnM4VKBoysgiKFgkHNAJA+ocA0SWd JgFhlJuneBscXTLqhupffxzijCYJWOFOB5ASLdGaEJCalijtJCh7r4TmQQDzUZlpynH4uXV9RzUN 79dL/AyWfiD7NO9oQ08DfUT4Tcykhe4axPTKQSzu7A6GJltYtUNSuMKqYdjfhKp7IGIH5d5h+RMF 7YTgg2j29QlCYXL7culjKk5l37xe/m1+dYFol/+2uiplRrfgBIDRHP1leS2RKmncZNelgMDCba/S 7l0ZjyqMh4RYMFFA314D9Ekg74hx63ijgAw+eeE5jXMphwrhhLWp5FXrg5ZQUHeg3x2YCzuW3+Ew F5i7fPsERnh2SVxSsUlgoGK0r4+QK23wBomzet4Z4cGqbYQ7NKGdfRjCneoQbrXtEM7XQLhDgJYo WNccT/dmrAfOZAGsU9MhIHRHgIcD/A3jwzhn2CFz74R2u3OxfyQhE1wrZAIyqhWIIhZLgWhsEFZc IIqIMf6WdRSdMwWiFXbLSB2nJfUwSLpp/r3EZ3E7MN00IhZ2YV8tDgZAaLL/rADcVKALBI7sUVzc gRr9Dvm5nMfs7wLAb57BZMbF6fJyjjRk3Hr7hWzpLLY0GejP//Mvf5VRLBbP/9/z9T8q3Jy/Or+i LlrP5aPFc4Brfvkdx4fGxsL/TsY89dM96AoijBW30edCm9hROFqcnqDks58uT1arf0ernfsmNbLA Hsr5uviHYmjfvynE0fVzcrlafvd/zv9x9ar66XJJMFjzeOR+qfhsXJMLjNpGSzLM78oo//vk9HS+ aE6vLk4Wx/PVqll84Gql1L+2A1qdLJZnFzumyn2cXC8X56en52cXPOtS4eLZ3/7j5TPTqGfDCcuo /3Z2frqsfpLtxeo/uu3FjYnxtICrDnEvB4MpuLvXSPppUY+EmYvpaU1tHf3n8u36/OhqAUnTzegh Df3l5ILW4qurzYbWy1+vTqjw3Vv6v88vaYb7DWa5PrlmwAHOF/uN56fj+Xr5/erkH8s92+FvL86P 2naYEAruhRf0K/qbZ+16F19EZqLz3+BlwkXlzhsk8R15VrccMSpvZau9yREuHjX8CZGYHin9IKQL j2qFIzFZ0jAKR+STOLxfRBdOw5jH+Z8m6hxY54HI7bY4SWOwvb6TkF6+FyLjMOdwpXlOjOTPm/s8 IaqnX7dj0S2A2G8G48AFmXGJg+WdIgKbs5VN19yZWeBtoaSbIP2RI/EmY9m5z+v2G17PIVkGv9/B qWm6qfkuopp0RfSHW4e+vYl2+9B1GbrAcDD0ejz2ejT2enLs1XDs1Z5jd1tjbzO2jomAVH05h9XI 2S4c7nCD41wDjZd0ywy/qbUUd0DbGme38G4s3zBEDoz4vMRFlEH/KZr8egFFbuje+/zi1ytalF9v ePc+Z+fecvf5n6wLfu7azdDhbMhUCJPLJrT2TPDIbdJ4E6wmxVY7BW3iPc+b5w9fFKj57Xn/wQrw MnWcXDFGpt5e333qpN8LxnrTo8cUofwBEBE30ufwCVa6gxLcTqdA5FlHGyF8Ett2gOjcItpGb++H 6Emm4GjOD8D8ZFs+PJ0mBWtGiLUIjzc4ixmHRzSx/SvzpdXrYPRhvu317rXHSRd6VmvImjvYxJxq J9YLhXgX6kY8SUgGRHgAeU/wfst7gLB4wfGBWryB74FjmmwH3pIGPtq+BVBgOAqAYroX9e+gh2Se 3kjL6Qg/LQvemEmJqlFbj7CRQtOqcUPLPWEDekDacMEyZToqR63a+SCZmD0EhSf3dHK4LgdThhuQ Y0eAn5todD9cEoMxDXYaaPixJU+ygcpqbHQou0g3UmeBa0ekLqaYb4Q2jPORxGjpL2Lz9c7c1SNS qm7Jbyw3oy1yU6vG47WLi4iIXWt1DbcoZY+NIumfPAKeVohhWVKu2RhK7t/s0rVWFwh8B0dMOKdq iEv4fsiX49pw5iBqkqgBETDQQS9L78SfYwoD/mw1dTatCoQ8mpK9bTqcXlgTmJBgOOTIkyG6VXAE khGX2ciXB81mmjqjSZPr7e37jgZITIDVT840Iu80zzRzUiQd8AdHonBqYurPNXt8Gb+Q3GZ8OoUW GqdE4xT2fAIq8XkozQdf8OdYJrxAxD/emcJ+FueYotFpHK4pGewsd+Eav0D8Y9slsVPJjm44jTMs nIhMDmtRxeT5LFbiBGM6ST5nUuAkaRViBqIwJ3iS0zSoxImmcQGkLNrJ1N3sZDb1YHL9rK7FFTON MTdaq9M4mcSkVU83XrR2xHiD0if7w0PZiCyrk7IR82aOA+YTnYmmk43B+rtyn72FoSr8dHQMZuz/ 8+sVfYUD0Pnicv6G/h4kD9Bt5/8R83V8/iN69yX+xyf5fOzzH5MUdYfTIIg1FHAo7vtBLHX2ryT2 8wMx9WznwwDoFr6mLrzEL7isumE95MChCtc4vuDmw+DsVBpVV2SyZISZp9+j56XZ4+2alj0lXZCq 9XZVDV99KvXz9mDbRx8QLDYjmQfcrSX2tO1DUbMza3zhqWjFZzHgbGph4yLVD1LW0hWOGXJwdZxg NPRcLnAQ1vEbb/jyE5upOAuinEhFglofESE7khzIHPUVvgh8wWEDwjVBepQVQ5fsGggJrrceYKTs Z8oeuMh9i3jidZNNpBmCbzs+z6K5k5wiYmY1ziGvo8dAAl/weUA+pIEmAx/rlSo4CyHXCCbOzq/s px2TxBjnF2vwkIUWbuHYapKMK4QyaiS/MXjjT2B0Dp7kyCwu6RpzzVgslxmuLTXOMsIBg77jYIbS uEAqAAErtW9TKldIn0lKG9xonUF9NGXgmBv/uQOBj/n/6uTiErvyV6dnB/H8lM9t5/8JX5v5P+KX /G+f5vOx+f+Qoh6Y/wMLq+fmusLFcZ4P7igkIM3fj+40Hnng1HxUkdb0sdmqObxTc6HTGnsAG52a 47RVNW1XPXCv7lirjbo/IF/RR+42HMetqvGj95o+Ta/bdSfI6VN067fqfgTMbtf92BT1zy3yvnwG n438H1dv6+PzQ4eAv0X+O2M383+5EL/Ef/skn48t/wtFPVD0N5yucGA5uZRIA0cAWby4jUgY9b2B bO7sLkeGC6nr4RiJNsx8/BAxWGB/eByWtOBWeW4rW3UnzWrfJO9WjTHQ9gcqBT2F2RU+/EhsEbm3 BhEAyDgJfOxs1aTAr09zolERlVfyW5hlqfgj2WcOrSXeeNPGVvGYLNvoOZiv1xE7fsZv5TGDF6H2 P/AE56OHHMqN7aNYXN/7aDyucU1J48XGGR+x1XlO1m4LVKPIetVd8AI2UBF5jq04g8OgsOYcZ3en i4iDmtdobT5MXYVTpXyMXEVPwEWgYrLAkClMJQK7l0AG2iwaDRvNIxogXtk2MEKdZDSjH0KR9/gT HWbH26I0AjKCYftpJA8jQ7tFmpasZjDE2vN2Wk7w2sTHbakrOQqqfIN3yBKIQI0UD9tgywAxESRS gSuHLYdQqgClegQmmPjoDAeHleEAAgATDnfi0GDkA63zYeI2Tsvmzfd9q+jaNHxglWMj9CeDOfMU HwUGIfARQduOF18WQBOtBgX7mWAD0HAMATLtcy3ZLyX/mQOIcM44zUMVWmFusH8BIBX42JGOzVRz annQXyhnJ+WE349ywkMoJ3x8yomfLeWYjnLy7ZSTfz/KyQ+hnPzxKUcrkM4X2+GTfsb6/9s3h8/+ dFv8dxMszn+P4r/b6PUX/f9TfO5y/rsiEJ0dzVfnZ0tEZufz4EQmeK19j8PVffHBke0pJ16cqO4L 3/swdl+VxnijUdOVvFupO53vHvROMHxL/7sK7Y1GfF9fU81lc7a8fPaXv/+le1ir5ujyaNBMe6R+ 1O/onP3Z/HR5Acf9i2ftfa4/Ct+KG+UUvpGnQ3vMuhK9ur/iQp23j1f8vfVrLV/bQT8/Ol9gFN8+ EQYivZWxPB8SV2OqPy9TWKSoUsyzCpmeahJD2s+qBS3F81NxdvmmaxrtHmGw4vj+dv5m2QaGfM2f J/Lg1fn6aLluHwX+jB51EZx1uX3+6r+Xi8vL89VyPT+Dg7JW5cmbNc1z6v7VydFy6kE3Vwyv62jy 6cXx/AiRpc3mw3cnZ/Sg7hyYzFb1UqJPLaB9WwTpGFpA+XbeF8fn7zCVb5+8nq8ulpvNfTg/P2Xi yDhB5Tcf4+y78fyqbGusOAuPhNAcvnHHMOH4aDscbD6Fx0Tc8ex0/v7k9OTD8qjHVd+zbDXU7PA9 IOdBESLGK/Cden1+2R4Te1KJWYzjIz3I8M21RwQGWLo8rpevXxNxlFMZlXz79sklPV//Ik4WT9qH rVNPqZOS7x9d/FIiiOMI7VVfZ/V22S+L7q40/EvrN9vdn19ezhfHv0BS4XRNY7ony7OjX7pTN4P7 F6fn55fHzMNV048HniI4nPLtk+X7y/X87TmO9B51j09PLml6KwI+k1cLta1zS8OZj59Ym3IX/p+P /7Rlq/4Uuc39lKvBoaH+3vSRte1Ta6T3y0830pt6tRO96pt7NUf42eo1ef7p4TNx1us+UHMu3Ao1 59JDoLZQxozHr7/eDa0dgLfLjSamRoLX+Uk7PwRzP3qc/boVR86r++Po9eucldoc4KFQQ+bK7QQ9 WPJ7EbS+Cx2neH8YLfjz0WAU1e0wiuajw+jOLUxRb1b846ao1yZ1r15F/bhTryFGp0cMcQCydBd6 iO6fjh7SHeghPYgenHb67uxs0NsDgJTEE/N+QBqfImrbv/ms7WapqRgmSYdgdJ61geZ9SjOcgQoW P8s6zExsjMvG6VmNnRinAl0hCUpGGPunXS9rBE3xyoHuupuvSSFLxjU5etuD6jWUuIi47L6H1WKy 6GKq6HZcJcJE6B7fEN1otORuAeoEuGZqhuxf2FzIli7riDAONGn9dAvaN+MEoZ7iUIdiSCGQYVYx bUDKj4G0VWqxUWoKPvGO8Il3hs/tEwxbE7SxscGYMSkYtTHBrVKLjVJTExzoYTcTgLlpYfQRaYBd 7MdiIE9vU1l304zCKa3gObWQEI9K1lhPreeGVNao9Cyq3CRlYrgvFeGwfh2tbUD/vfzG2f5aR+SX 0AOxjmP+U6U1l054v2jiCMab+qQ3d4Ix9M6PADCN+EpOez9LOJfjzL1X3QheaRpeaRpe6WHwqv3v DbEQonaz7GKTvbP2DwCy+HuCjFZlSjHYmVY+492H+QNA7G6s7+NAzCo4omtiY1obTEP/ESDmfk+I WdJykvJxlgyy3qiU/gAQs7/nsjTQlXCuiWVlCOqPQGN307g+DsA0Ma9I2qmbBU4IQYr9HwBi6fdc lQYvrZXNBDFan9qpPwLE8v0hJsdn22r9aULlyAC0vb6CQGt8VlPlgIiB7f0u6Br21bwaqIRcgaw1 GGtmNHLp07mBTj88nlifnNFj3jc+kcNc9PXi+cV//u3feot/HLZtbI2Pn1E//XCrjdhuiH6qorNx YHL30d0+nqnN5Mb56kxMsLh1aGLW2ZlZHciYjtmkMDKnt+2nmCO8JEJvCrP9pPvZLiZLLTZKTdpP d9NUsRNf3nq0UbP6sFn/2rXexc5q34MMQ2dVffSsHkvbYbS43F1DabWF8R6ib7R6WGStfudnEG1q dLMPaLW7s+EG0igC1Sju0DjwkJwHllp8/BeZG51Ny1q16Hvf72dtvkjdepVa9dEYSPcvt3Ycbi4p awW3i5P1YlXmJnsVpTK/o+v2GsY7D+jrP0/O3kz0MxEKB3sSTyV0Q7/p1sVIWRprdo4m3HU0f6UV etfRZHvH0fQYGkRcuFjMV0iu265gcE9ETQoxdSzyPXN2pCZVeQODiIvhSSqlDTw2ziGegh3M6e// /uL/6szKrVlty4inG9MYn2VHPA6vdLhxcvzKE7PzajC/iBdl2psBYdbGIeuo6jaPHzq/cPf51f6Q MzTDGeqMWE+2IymZIY4Lh30nGO8xwXjACebh/IgOkQGlkxRCoLGxJnTbiw+dYLrHBO0BJxhGE4zY AFF+iMAQSAUMnWfCQ+eX7zE/d7j5jaYXsRetrB0wGMM+qNruS5/6Pug7IIGO6LN2iNKmbKceM4OH g622+3JQc48JhsPNb8xgaq1c443rNq+RGcIgw681+y7AKXG/a4LpgBP0WxOMHKN1sAI96eAkOfZd gu4eM8z3m+Hl8v3lsLe/v/w/+kmRucgps4dEmTi59iZXPz+7rPmalCvSVVdf8513PN/RrYuTD8vn xr99/zXGXpyxnmvj/zd5/np+erL67fkFQbsm0+Pk9dcYYT1fnbw5e056KJkvX6+Wl/SnhtMeKWHP FTX27nx9NLohtc4Wx+fr56cnR0erZYn6N4yktaUATYTA6aLfdBFkXl1dXm7Fj2Hfn81IV524OV09 ZxfDb5+8JbV5ub5ePvnum0u6ddZq1dvQnoS3oIlswDfLX/5OU3zy3X9QgxdX6+U3z7i97+gv3Wfc Llerk7et4s7R83xuqAPXsgSOrhc4ZlAnBkXTtE1UqaNP1jfh/a+SGmqdf3v5/U8/jSmh9/IJXu+M DgkrbJcSuo0DGJPKeXtzCELGADtfPXftvaP5xfF8vZ7/NtL54W22w0LYGFIf0Yqefliuz7u1deQs La7xOLciJ47GN00qt496F1HhgF+lo2uSyiHNyB7Acb4QKuKrhm7lOIOSakj3yQOc/XW1XBzPW6R1 bqLnR0sYh2TxLxZt6dajbzV/tUTq8FK1evYlDXj72cj/fbJevj5//4nP/3rjcf7X6miC9fD/93T7 i///p/jc9fzvyF0ciSywcfgd0sL9j+qvJPeq798tLxDj+6/r5bIixb3R1avfqv8FmTgvj+r/n71r a24cuc7v/hWs2ZedCgj1/aJZT9V6XS5vamynvKlKJS8piII09FCiQlJz+/X5TgMgG2STAilCk3ig 0YhEd6MvX59rA316RC0s0USUmk/md6MmyvfeEk1k74sbqv7HXyfz++Xl6JdfRn/4TwqNlIU+IOW3 X9+N/vand7SvNhtRPOnL0V9+/fem/tdIeviyII1Nb57LcNeU6spGv95PcjqwbhOCSjM6JSgjN1LR IZk8HL9qQmAmOp81fFG5cR8pb0Y7ojaXhaCTmkxWf4QlxTH5a2PySqudVCILf8d1XbT7l7mxmjQJ 1ScdX0nfwxmYFPZonIeDRLWoyku6bN1RdTGn05xbd6jmBqqSCkrTqnqreIi+JELxWZ3FCIf6W2gg KiVNQXvvsvCnGm8oOglD2L5DVrdsOr7pR+i4qqrlTXmlQkfaiK1HEeZF0o108DFwNm6sxxRDrOp5 Hs6gpjpD7Tyvu0BbsauKCJJ1N20z001vwj26AodwDBnht+okKlzWpcIG8wq+ybpcqFDWE0aPF3ZK c1PQhlObVX8r/ELWpBlBfUuoBunLrev2JTUStyGbRnROj8zD300j6P87ZYBdxrnfX6bCsBpNGIiu oQ+TFLrZzq8LzQLiRLKTTakKWl53uel5VQx/rAmUXdBhvJb4KHxU3RFgTFCGwez9zB3tls/qj5Cf KbAWjAhlJuOKbOj4bDM2oWeCrilKesGpjM/qj7pqRZMK6YWuVhxDLNt0ywZKp15pldH/6iZNlsuY ewx1UiMva3qk/zoPm/PF+3GolteipEIsjBRdKoSkUHRZ/VFVLCEO/iw0PRdEProGcVR9VPmKAplm ejKWQMRnlgCnaZSZoI2xYydyzzMZIrzBwgp9yzhxB8aWEUHMqG38/pmLcOitqH6DCKu+1pjWiU2Z guKcqfrRXFbz4oQOmUarNFP06ByjNJnygQIJnBlkYcXMk5r3A0Sc+hQYuuob8jJZE31GxwmG7lM2 uhHf9ovQMK0xkPBXog2pMpiMHBcGkojOhivoeR7NcvVR9Rek4xw9SLRmIhm1h14KeoMScIZjnIEa GsnobGrtxxiMUpnGHIej5zLURSHeADnoBZTkVM59Vv0NLYyFJr6gOaHNsfXfqnETFAifhLFWrUia OHpDMfA/slEtxeWr0gMvUKS+LMgrDT8dQ6Bo00Sp6DzFmhZ0fAHUFXk5Y505UIEraI+O01n9UfWs ml+J8ULT0P7nQCaoXAFz2oklM6/CN3qUj5EQKOjQ2FO05bEQIU9RtP4sND8W9CYOOjHWnEgvnPo9 BlNpnvkAbkVxjEp5TKAWRI0YLvhSBoqwuAOKA1+lz6QdYzYccTDlARUkEYMJnjkRRm0COQMkejWP iIW+guerxlhoJuM+UDtVjp4KTC9DATSsUNjVV79ID3xtRsoe5KwZSMdTI+ErWC/k0PA0C7yGK1up dS+ylonwX68u3v6/27nctv/v78b38zEMIrh/9BD2PI7AQftfGsEFg/3PmTHGSitg/8P11oP9/xI/ p+7/fdZ50L8bPX/ncPKw503JYdvwqduGm92HLq/c84fPIblZ+t1ObzYVy/oVmPWKzJqm6JTVqujO jmBaRm7fdT2fXBVLdPviPVy/i+v5Vfnl4t8Wc9qqu7y4pWOkxuSxjVfvQSIX9DC3uJrhy6pYPS53 6qp2JQOtT/PFh/H85oYWsXa3KM8fVw+Pq/8uP6/gJoaeAaEIrpBNt63TXu3ZTipfHXzdKXHgG9+/ WWZ3T8rVrJh82NqO+CZ6gya1j2Z9/hqngyae2iqj4zef4p1K8Ra3Th07bp9h15Gldkqhzyp6SeiY zUvrfcXz2Sxs8S1mn4ovywNvc2lu9m7W7IpL1wkzBzaAnRvCeD/J8/Z/WbN/P2Bim1V1FlGHzXKJ bttwyNcRO/NSJyynGkthhMZejsyEZPYIEHVhix0QuxIaLbEfhWKqtc6kJiQ/21ZDzhV7cq8hFTph syFLbf/rsNmQmjtht2GqOfbmXEAZoTbD3UuOT4wMlZxrE28HHNHaCTAm4wScDUbN5V6u3IhS6Y9H qTqE9niUNDyn41EqDf7Jva09FyUh9LOJDZWkNrofhvFIMyRqKzVlh0FMq9tz7aF23j8bQunZCZE2 muOQn9xU7dkJETWas4LPBJPfryWjfp7Aj6dKLen5CfzYr9RSdDbpE/1GmePji5zIbgpe8jdltxOs fmae56Z1t/qZOcqkfZbVT6/HnhTQYBHO2GtvelA2p7dc4qgCYTt47rnU0caZSbLsJFn2UEgE6YRh MpO5dlC5rhyHJe6cW66RrHJhmeSGHoXQmYTH7hFKbb1g3XYj+ugdqL209sTm/e8U4G771geATwaY DQD3CbDw3bZGDgCfDHC33boDwCcDPCi5ngEelNwG4HDyK73/e0aAO4ZQGgA+GeBBRPQM8CAiegZ4 sIP7BdgMdnDPAA9KrmeAByUXAewqgNUZEd7sKx0Q7gvhQQr3jHAUvGdAuB+EBzncN8LdIgYOCJ+M 8OBu9I5wt9CqA8KnIzw4HD0j7IZVn74RHjyOvhEePI6eEfaDx9E3woPH0TfCg8fRL8JieNGnd4QH j6NvhAePo2+Eu4WlHxA+GWE++HR9Izz4dH0jPPh0PSMsBp+ub4QHn65nhOXgcfSN8OBx9I3w4HH0 jfDgcfSMsBo8jr4RHjyOvhHuw+NIbwbfP3KWG2W9r4Ox5pZZozV9kUooOhcuV8pqe9LhxtLmXkYn gdPRg8LnPAqcQccOKpMz4eOD2unUQRFTRDIoQjcC7RRjogOBUohNJaKD3QOVOorPa12bSg3TuUVh 36bSnbKTZNn9c0VBPBUGVJ8VSacHMIMpcp7nRhKVWgonqtXzqVPIbqtmIWTAPwm84zS+nFNwWnFm eHknZ/hIeE9gfqN0E/6YDgMRFBk318aj5XIsiP8FZ0ycdFK3AGNL31q7EkEuc0hlI1pCQEOsesPj c315qmwy6lMng7ZbdKgnSLXb4A8h7qSRvBG3GqTJwcIKElBZwTOK7a4JB4DfPn7TU0hK3uYPKXIP GhWuxR8CtTHDozgOk2TZSbLsLrHqjvZsCInXr6ZygsLjV8SqFBEry5WUkIBhd4QCDUWaKugglztr WBQ/imhQ+twzsHr7/FuTy1BUtWgQkglzY6KzaLtz/XZgLdXpkbCO2eBUIGnwSuZOaOvbY+e5w4y3 dTBUtVNCeNkaOopCIMpoWemACbU+UpZOlMVXEqfcMalPEZftMUEbdbKVzgccg9jzJm6VJBcFwoah wtvQqVzT2dbtQ5NRlmvlo1gfh6xPBqpzto6dTscWw/xWJAwYFKM5C4K808pVFWuwVybWiiKONxpH GStoxApmtyN2Np4ZaU8yNyWsIGudbZM72NdjJtqsDrEgjLWmbXNSCHanXExEu3GmRLf4LSEe1Rks IxCS1V5vGUYiNy6yrIPYl21re5IoN0mUe5qlg/jDN6gQzs3RB5EnzZ9Oq3zdYuw9QYxPBsI60IEQ oPSAQN+cyJbEsTqGF8a5pTO/SN97q02k2MPx6p7ErI7etCAC5RSD2vJI4VcHt0s6fkDHikukCh+e mSeo7jmItads15Ywgh1JPs+gzxS5p9gixT4pNovZsUeqa4uOXaozYlernG6QHiuQ04Jyj1BNC+CW sO4RyLY9kAJy17J5LjEesn/SNtUe+ytpqsVGXY/AbZkBKeS6ypqzmj9py2qPFZa22FrW3TelvV3V 8QwmPtI1Sjs2e5ygtMPUcq561ChttzKhUeT5NMpp7nnakU473WkHPe3Mx25/j5TaXhhJUKo8q7o5 fsUpvRK0Z9UovcLUWo36hgajkWfQOC9vVvZpMLaWOFPsfT5Nc8ICenoROb3gnF6cTi9kt9a8vym8 51NDJyygvyy85+f39uOlBL+rcyqnYx/V7TxH2/O4LfFcLnp81yN1th9uJqhTnU/1POMZb/pxcvrR c/oxdfqRdvPg+5sifEYXaEA4ifA5XaUB4RTC59NhA8JJhPUZV+0GhJMID5qub4QHTdc3woOm6xvh QdP1jLAZNF3fCA+arm+EB03XN8KDpusb4UHT9YywHTRd3wgPmq5vhAdN1zfCg6brG+FB0/WMsBs0 Xd8ID5qub4QHTdc3woOm6xvhQdP1jLAfNF3fCA+arm+EB03XN8KDpusb4UHT9YuwZYOm6xvhF9R0 e482/KcG+AUV3fcJ8Avque8T4BdUc98lwPwFtdz3CfCg5HoGeFByPQP8ckpO5cIyyc13BvDLKbnv E+BzhgQZAE4B/HJK7jsF+OWU3HcK8KDkegZ4UHLPDPdizCGAefQuIA0zOuYgjE/n7XBUUf7Ndj6F ocIQW6GpDk2HMtqoZlO+EFzaEFxHGqN4NuYsZ1boziGtvymI5xQDSVic2uDCAzCve5m3XiMPuYPx XHj0okOISLVhlBAfwFHIGRbFNagCAG0KhSBUR1HLTxfX5c0yfFvOr6cP+H95X9yV1x+n5affrTt6 Vayn7qG4LTH2OTD74Sb81BlX88V1uWiyNi/iV+lztDxdAfgm4tMaSKpwnQuST+Uv3xfX80+Ype3M r/P5HUWUyCWoZL3otZkkTLyGfJN6febnJu8LzTrX1mu3m/m4WAC68az4UmI44aPp+fL9/NPtgmC5 KWZrXNa3Utb46mqOpleLx53s6/nk8Y6qfqym5eHzdolP03sMdvxper16j7ExvQNZXeJ9Ob19Dwp0 64Olt0vQ8MUOonUmTYbcGTmNLoZ8/xgf5tN7GkFcgu6uJrxJr+nsrlwV18Wq2NBUk6JeNWLr+uby 73/809uafn+aTC7/Y7740JAz2BQFiqv5I4b86u06+afrySUJkGL1dnqHjl8sP97+y+e7GUh7ndEq vPryUG4qrapdlMv542JS/v7V+9Xq4fLi4uFxMcvni1tUgt+7Kd108dtqOpv9So2sxcS60ulqVr79 a7n6hC6P/nZzQ7wdulDltApj2OVbwZgeMzlmLhQLaa1Sk0VZrOaLt1FfCZOfb0E9cWLcgXfFw3z0 SzEr7or760U5TfWAuH63nlByp0mqefl49Q9IulYFhNkfitsWChepstTj2XRS3i+fxjy0Pv0I8XJ3 N79fBvjre5cXV1/Gy+ICYvpiB/uqmu3Uyfwe+uTq8VgI/7X48Hg1+m1VYgIX2ejd46QY/amEOFit joZztwuhLJF1TObvtgGKKP1IbNrIP5QLkO7ySeQ/lVd5kxiqnkwu/l4+LObXj5PVdH7fhvyZFf9x uqxQSVW8KP/ncYo7Tqr5r/MVIDlvnT+v9nf2WSiUi+nHMKVEDcvzdvq398Wi/Hk2/RCDEUivJrVa 5F5EMveni0Yih6vbjaRuab+1DpgVV+Xs96/eUeZoJ/d2MX98uJtfl/XtjZC/je2fW60ii2i1MQXD 1xkk4o9c5d5paTL+ek3bm0qgcFZfZmjjerp8QDuX03uSu682+Ye7G3dExFA9o4VVsVxNy0WRaELF 7Hkbz2xy7GOtyDlzzEWhc1NN/hZ0dbtI3aRpE9Ztqow7tvK9veU6F8pQPMsnW41eiEzP08f5Yt4q 8tREHNmvny5uzzbdu3PtRTzXD8Xq/Z6ObmKISamsbwJcGq0Z+p1z7r2nkKGCcSlUmw7Q1F9G8KpD OLdRHRR59POoiYU80rlzUlsnR2zE8W9Evr71ikmbdSm+U/fX9ow0LsPiC4V8rG/eU+RzImR6q0Qq AHS7QCIadAM5IQzUVYpiau/ikuXyzQ0suEvYdj/+sP1mmGCvQ+64Kc6ry8XjrLwsP5b38+vrN9Bc 8w/l5f38vqy/V3b6JX/43CQQwYBCLqE0VnHaP2AvX0JflIsmddPSAaJeD59MULibi0mbubZpa2fQ glln4MFXYw9d7zrOANROfFzxuj12iq1MP04cD0G4mE3xcamatOsCzsdiAThinDuBFThC2Jw54aE0 BFxmqBguR7+MBM8NeMyE5S3yCJUbSZ57ZaFfMmFykI/0I8lyp7W1IhMK3qF01tHNPreULOhmx4w0 asRtrphj0lNJkLVQ4BmXW+a1RjmKqGrjM863SHUPFwD+kmYajtXk69cnpnrPTXtadAmoDMalrAAA YHXLnXMVVBi4kY5GobgwkhNUcCW1CVApZ5UUhJW0imuegS0p3LC2FVbMivpuKZn1lnDh3hllCCth DWiF0oCk4Da0wozjOsW9x1PtD1b4m8lNmki9+iZEul8fpnSBlsysY/HiwutM5hwYcYMvCkhz/jqh 7zVjHVRmy3fZpqk9VLWc0O+rdsk1benolcSIumC8QVaTVpMi19pB84A+UqlQ0NoLqTFOcBXYDyRD YZ49DykaCsvgVrAzKBS0FxIF2rVI0444TWYKJMq8dTyZ9m4kfQi8DYZFKtjeSOpOKhVpToOaLbVj ODLliDrGmRcitG0M0yRVMAQlpKo7btF1iBBiBsgFSQMEo6P3ybR3SSi+jrag3BLo/E1YY7u8mhWT D5E+2xHTqrs++wGoFk5vqTQodMW4Uv4IjrkrFh/KRcUT1ffxclUsVq2Uu+l167q8v25xUXd+o9T5 zc2yXF2yXR78OF1Or6YzughfZ+UWW76ZfywXN7P5pya/xafduYN+9vOGSvIGDBlhOHG2zJkA5fCK NxhngoHNYbJSIaM4RZPFpZfOEauIXDhtJc8khDcTBqIUtI07SHSjHFOWMUe5jlZFRaA9wxxsPso1 9DOSaAj1ORmaD9H8iR4TnXqKHsGmh6jQfDurqsNknqxi3DX+3SQZRjO32224w/fX3fpNxwN4JpR0 SbqhbBirEEMO08oNC3Rj6dmAMrpKhR0+ClIKathGBRNp+8nWbM97kvJP5Zj97aaHTTabEhyS0hM1 c2erYXNlrDZVquBwYojuYUrArNiUTKSlifp4Svj0HnOYpgMpnkUHbfqN3NWulmDzk7YHNWe79iBp KSGEh+epgrVkIBVgRUvSxCpKDWYe7EIvRZQKg1A7OBswEqEsPew8FaVJOsSBww4leUXB8bWlkuEx pxNBem1SMd9GeKUpTQDKKi00pKhtGJHWiygN/cytEEC+SnVwdDXRSO61k47ZkGq8UAZpimKV86oZ D7VOSQy3BmOUOwNjn+QhysEQhjkPzxX045UPNTapgs42gTc9ouFy64SJwdjFckuWxkSXlp7u2Tqc hR9pzmP1drNvF+VkFY+TDtGAGUY/bROfnstW4Ni2IGoebcEu5HRMTFsm1I/GBDIxMr+7GkAdAIGL w2hvrwDII1YAfhBMFc6mfQydUADPWA043gc8xPVql+thC3jwjRIZHajCFMwGEP8mFbNg4Ub7oGlg Qgg4zzyDrQIjm8MP5D7nnKrOPHGtVF5AaGSOzOS6MlyqVp2bltJM0c28kOL/zqLNKdNUuVX7J8sk J0sb5hWJ2EBtNCsyF9LDOoxTg58B044Er/AaRqOJ0lCNJX8mCPgqFUYjp3UOb4NjVNVEtiiJRMMg 7JEGx8pLFsS2gKCG8Slo4UCTRUL+vqIZD3dDLXPOeLWGYOHkIM1L5TjohNKs1IqHnlumq7tBZI7V Ksc6CUKh1CA5RKVyOHqnXZSKNMkdnaZE90t4UCakGadkuFs6OoKpuluRZOfVugS3lALrnGiZRgiR bl2UBiwMLGAdVEudSnSLtgQUfFVjnQpr2XpOCkfQ0UsYr4tnwhKnQKVEae9SE3lAPzzXKNnIppfU BImVf70lzHfXP+CyKymqU4fql4A4LTHQNUEOp0eGpT0Ou+H1sQse28opqKcxrPbceOP0ll34OeRp 2BtayK28RkkpCwOp9Tp69dO8wSHJ6JRyu+qNohLsKRdLkU/Iod27+f7ykO8PSvpaLuYHxOIxRut3 6/DvdWBEci1sLEiewPGgc42I2BwLDns6PUqVtDILMcPTiajBGqhnBZ2MZOhceFCwcGEcWcdpwbWS q1Y3aRKa2eVKKyGDfbxOHStJ9qyEVB3TmgFEn4x6Zfb09ekFgieod8cOO7RmMFDvcdT73Lk45IEM cxHPRYrp16pji+mT6VFqxPSpRKoBWjDnglZ81kw/5p4pFBE64vooMWb7KDnmexhqmtStbfF9srs7 fB+JwO0lz71CtN8lDpGwn2lJVVrDwyM/puhpd7A3PYQbPbNapwb7TtBqmYpSw5NAZ5QOz8G8MIaW KDJhaVEDlksmGdnjnBba6IKebDGjKEU5Wq7N6jxajmPRBZnhOlyTYRtcrSgXjjzmisxKWg9x/9ve dQBYVR3tBwIqIkVUNLYnWCLue9zTzyWiKIISQVGMGmNblqUoC0gHC6DRWIjGisaoiDVq1Ig9FsTY Ym+YmFiisWAvsaP+8825u7wGoncTNr/v5v/l7dxyzj3nm5lv5pz3RuCRhTK0jk5wKCCw914UdpD4 bqwkliqbXqTCOFSmnytHOfSKgucSQ1ExVdFIUF1ZqmLi4ZNrJ9SXWY1gS/6jVuM/ZqubB90VFnQR YJOyRjEWdIUQFJwEeFOE54KQzD8HLwixvEHw0yhE7CLJkPgCUUxxuqK4CSKtKXxIsnea3IhhNJJF cCYO2btlUronkrycTs7GecmqQL2JOOyiUJXOFsgGcRjp0RSk0AERwkgKyyhm9AVS7NqmeBRZXw44 vZLFMoGKJ7wqQurjYysl994Yxd3MO+TysO7cNEQqD5NGTRXIKg3linMVFZbmVhy2lejFCsI2W7Zs /YPVionhqGv8kPzFfzepTPG5osuWr1CqQkZc5+NIxcSug52MDO+QgFTEvG8CUknnWWZAxFkmeDdJ 8d2CrKTlu5GqCV5FeI/LvBM6UkEkvY0dZFZYBwZPMiUlJzFIaryWPphtCiqFhUyjZHtoREVeGJZF JjH4BTcrp4Q1yc1Oc9NSmjh5oLYqNC3ipu4QjWDKAamKYhGuNFAyyCIKEpIr6TFWkMzFXloXfCkx SDYOkBoZR+Fua2KHdpyPUPOSZY7GDiLSTgWNhYiMlgs3Y8NJ4qzIRikFmSGHKsIUxCoS/EDqBN0U ZEbzCgBJhUJZcUgt9k6gHUvhfix5gJyMiBVBFtHrOB4eL2yseddAnqaNLIurYTogiBGwESmS0u0q yLTBi5NMabZ/RdcpR6PVeLePsQBBUh1FVgYZFiOCLKY5LbkbwEhuJtiocCF2DTiWYXk4ZplFlYaS m60n+5/cbRWnnbCIAusJmVdkxcOVsVaGO052W2N447yKIiWSjhM4CaxBSoxUs4wwwE3TVaL0XsE5 Yr43Jl8iOImjpCYWBbJCM8gZwRgcRdqYZZZizPBA7Zy1Ca2Rjn0TSYneWM4dEtcRMrRDk+xY5CMB BgwR3EySHo3YicX4DmTEkyW1BdpZFoPmsSwW2oe3I7iKMGLSCNRvDVLnwKcI38ZZbkVH3vD8SRQJ V/xAAllg+iSl0Yr4nTVNlmYyRj0V/HpaWy0d8zMawSg8jxQ8tEsainQ5Cy1DlGRGqGRktSO7Y1mm SeFCG6QnUWhYWSSQQ3ccqS1f6bEswuOgaYosy2JqxYUnkn4m8CY1iJCnR8JNkBPFvBC0IxfaNsrx VhfeNGYjUSAbhJ1dFKdE2IBXLMWuHNlkSWO4aIOlA1JeX2RfTT6iTkW60Opi4UEKHQyijqGd2Bzu NXYxlBhnT+RFNUot6zZZA+eaGscLkUxj/5kovZvQHAUrgLsjvps3Q7hERlPEMoq6hC69WyppGqUE NR0cQ4xdFdxxwoOv6FZmZAdjKcUTFFTRGEFIk6SYndD8UagCwkQTYpTGY4ulymstyh5Q8lQ0JkMA mLiYxoulwfqmDihpmj3QxZha0QVSJpHE5eOg04kUsRS9rYsLsAMaSXbD2yKUQUoDGDQrwSNy/BEW 9QtwC5ngoLQQ4Sw1+EroMl3gasnARIHOQKaUjFWhckFIfjHR4KCFkJHr8oXKCllsi3WaZWRZXIH2 w3AKI6VbZiRYRGGVKbIm7C4IFbrA7rBrIKNtCuwTy2jWRZEhY9dgGu0vWzx2Apo6WWAY2eBHIvSw yYQmrsHJAmObrKSbQqMMmaeZlkXmm6XkgvUyO883g5wWeIPimxv9BkupI7bAw4Tz1hV6IpaRm/RF Pis8PQozmHg3lgWLnvjA4nsTZxmEPvQ68apBFnlV4H2Lb27000FqpCvw6MVXBs9fImOOwCpDUYMI NifhE6wyoInBZjHz4MAL2/uFKWAopNQ0+4ldbKQyEFqfUJSE9ECG1b0CbsQiMlO6iEVBSsqm3TK6 BZESrJdNrAwy6eOomL+xFDNbwPQgE1CAAkYIGTEJp4q4I0uxObKAZWJVzMdJ04GMssjaJA3TSFtZ qthVN/FbXlLzLnmXwINZZngpseRubOhWBdwaMkKrcssoOERkuZUoYuqQgnYkF2ojIaIBlXFiNLFV i2WeosXiIAFSRzZGJQ4r4oaxR7Qxz0TezLOMIk/vy26O6PFimbfj9J+VRf5K8v5U3+StQnxeybCz wY/IX5Mz0lg+owtIIXB1lCcW7oQpNvgUE8fEFXWpNCKnWfaAsseuZC6px3A13NWNWPnU0bDaYcOH 2cpBslQ/hCC5dAFzhWm60ny+XtGGie+ez1914/tfTugvW6xVstJepOVsXyrd7VS8BoxfICjOUONb UhFcnMAO8eJT04tONSMkmnex+IcICZ0CEq4lQqJ5V2B/iJCwKSARt0RINO9C8A8REhU3sa4kJIRo gZgw32HNr4qJSpjQURpMqJaIiSrBTIuJNARTtESGaaoMMy0m0jBM0RIppqlSzLSYSEMxdRkk3KqH RJVipoVEGoppWyAkbJVhpoSEScMwfUuERJVgpoVEKoIZtURMVAlmWkykIpiyJWKiSjDTYiINwRQt kWHaKsNMi4lUScyWSDFdlWKmxIRNlcRsiRzTVTlmWkw07yq5X/WQqFLMtJBo3lXyFgCJKsNMC4nm XSVvAZCoEsy0kGjmVfJVjwlfJZgpMeGaeZW8BWCiSjDTYqKZV8lbACaqDDMtJpp5lbwFYKJKMdNi onlXyeNVD4kqxUwLieZdJV/1kIirDDMlJHzzrpK3AEhUCWZaSDTzKnkLwESVYKbFRDOvkrcATFQJ ZlpMNPMqeQvARJVhpsVEM6+Sr3JMuKhKMVNiIm7mVfIWgIkqx0yLiTQcU7bArwS6qMox02IiDceU LXB3rouqHDMtJtJwTNkCd+e6qMox02IiDces4DtW+WKHE1WOmQ4TNkrDMWULXCh3osox02IiFcds gXlMJ6ocMy0mUnHMFpjHdKLKMdNiIhXHLM9ZrfpYVFQ5ZlpMpOKY5ZusVn3cIascMyUmRCqOWb7J qgVgosox02IiFccs9x2rPu6QVY6ZFhOpOGb5ekcLwESVY6bFRCqOWc4nVn3cscIK7VVMrAwmUnHM cj6RHhNNdQiXfWiqYxxqGIuCxdyyCpu2qd5wCbSoPV3YBWwwLsR041sWypLhKLytcei0dIXvWlaL bLmgFRW+3rzyEP1+5aK/FWIiL1H3MDKuDGuFU1M8ogW1oyfW1Y6p/3FO1OREYUlo1HYu+lUsFHQu +nHe7zjqNHr6e456ufv43xz1Cjhe2RGNK4+oX7kRxYsX1JwU5d+OyEf/G2O6XMuiCn4RtgDd/HFM 7aT6H0f52BtlTI2Q2ywzNCPLxq+kBHrBsI89jHRlfH3vMbXD6sf06T6odnr9hKwomRj0RBZCIEUL k2onThpdP6G2QhO6oDZ7cbH4ii+fM7oGBSUjX1L3vbTJoaNqh4+bWuZx0KT91gr1quRn9Fbi4cvt rTCoMxaTTfrWVkt+qa18nqaMmzCu6JJvm4jv2K+C+rupp7tkrscAZLJwsktLPRb0tKF20oTR0wjp Vint4poI/0N1GhNRx1FTJ44VSVA6juK0ohcONRtd3sYuslkt89Y7k90RdUuciY3NGtSSMah2G2UF /S9LeHIor6RczcpcXvbsGcVT0lixEuyi6eblXMKLbqGhylfUwdSGdpZzQXhErEouaKppqYyqBJll bEUt12NJJdQKyG39lPqx44YPX4G9HT/tu1vcZS2tANVNr4+SoH26104oqSNdVka09KVl5Dx4X3h3 7vrKvmcFR6QldsIVvXtjRRov/5NOZ6UGizVCunzkZYwKcj4faR+Fqlwib0nHLElJrZSJtUed6lg7 cjGhUhOKmKooVFCSNVKjapp3SRU0B7HEzT6yChWpHeqhRSg7qlG0SmqBsn8OhXTpOtJo62QULw+q ywF5YfHXGTO+R8XYGTOW16KrMFSW3ktzaVfH1Q1DOSaRpxfnylRRXgtpleAi3zIySX0njwqlGCvl tDCihtTSRvTJJYXunEzuVipyscO4iNhb1GjSqMFGWIGMRlKiziAXDvclX1ROgPzdUdvDyXhE3YjK II3Lagv/V0C6fIdYyRcYFVkhG32BIkTVqLygMRKWPugIRdO2qeTwTbwSPnP7gkvKMLW8OsR1+L/u xVcuw5YVJacYXUITPgy8mpJ51K2LUaOskpQ8tIklmJ5C7WrnCDL05iIWLKGQ1aFCGakzIZSwx0JJ PtJlQ6FNQFijnHzsvKgoG5RVcV4rsvMxpKT2VqE7laQk84bQ7NCOFXRSZdExEcVSctvWRoZrxMq8 lkonHUe5MzIhUAayCwovqGME3BVlgyoORUktsZWpu13BTEu1wk1npRpTqUY9GTqvUbUt/g4a87+e tinU05XXjrIy20W6oSrqBhEZaVEnlaARccHVoBuRiGREak6cFRehTDLQZYj3eA9VkXnpjVOiRpHx jqT1XPyd7uBKuIY8nosij7MetXclY89GKNaLsxZHVlFD9DyvuHlB8boBHit06tvwSGq6AhSucJvb f5hVrcRkfm8X44fT/0ZUVBgT+fJuh6TmSvWbnCHqLOqSEjqNuMFpSySM5pumVdiIcUOUJ4q0NUFK vj7LVgoVVwsurCBbPmxN6bxXRP731Zjlt+sqvjY4m5aCLGUMNAvvwmujeq6xQSoFKkQT7olKEK1Y dmUFWWVQf3ckTB1Fc1gZB0qmwkExfgvi1ZVlgo3Hcvigjcv5ILyUlDKmyFMzW0pKuyp4Yl0gZZpH vDBWskBKhNB4CjaIJJKzjInn6QKZIoNkhY5RtBPS2DhcGYEuesnWa5mU5tvKGBXEKYKhoQwybkg3 FvKNZYGM+pl3UtLIB6mnQBdVZIniG688ygOT1MZSW5JpoSWqz6OZmNw6RBHdymRUeEtkH/YQxaGp 76RseUf4ibmc8jIpOW0nKZrO4nWF89IWDkb5WFauE7r8nJ92qX04Z+ciZZuH9a4cvy1dZKLAXqEy K/KEpYsaKgyOW84aiKG4gYa24rKJpJP0ZnF5NoAzrarkmWWjXZKzlir+DqMtI13rXfFoN8YYpoID SJEN+O4x4Aq03qlyrScuEJPeaFlDn+jFUMZ6UIGUZsFRGB2zp0FlegqeRQ1xFSLZqJctuDg56sDH 0FqlY0lGo8aDJicPoz910TOXtVRZKVaGXli5wtqN/+WkzfeZphBWLX+yTMXJMjaKNUwsow2zovKE XmKHhVKOM4jawfBKLpptC2T0GId4hg18kBJpFMhzxI4Do/AkcFGYRBtxEXQEVrGK2GxLMtREPiUS BwaMBPG+xozz3eSWhYhEyCE4CnJIFivtBeqTk8wpowX3HLWf+W4CmY8Sl+O8IqBAypYjqcouqHfG F0i5PrsnMd+P2vFc011ZrxXfrbz2oTY2qtqTZRchLyG4iLqJNLCMNyST7nyBjMbCEgM27FoSKXBL bUly8OGJiZTYsosFHA71nAJUgeroy2YCtbrhUgpkgypN5Ar8Q1pSssw2/Tc9QaXUvyvmXuX5DwrZ tSLc1edCCkTkidgRQvA3hpyCHsWpPYEdCd814VHqnMKyKbH2vI1pjkp44TQ+Z4hvGFkaxzU6Ke2I IGEHbsn5xtV9BdKpVOmjGx2VdSVJwgo2UCMmFOTdVyb2N7qZf5l1RaT1BxvwLzeAKfl5pcRs5yTs CQUetiaAzUccsFeWF0gVMrNkZkRlIT3BWXLPmnwyicnnUvxJDJfIkfMCCddgV51plCnyzD6vjZaK +XGTNKcV+Kwiq5pDzoBMnyrolV1OX789QfAt6C1diYlWxMOq6P1u6E05F0JU5+J77PhqVPom11Gi 9BXlBdICpa8kxBPIC+aFRManSelzIo40XSJNgdYXCAvVvkBcqPdE1AzcrSvS+4rdLdP7AhMoVyp3 VJI9av4UR8lPWDWmOIgmWsFLfpHGajfzzZiMG9asmqTM7ySyZbpAyiuB3mrD62CxtBYpihrpkNQg 5lKjIvBxgUQb/sDKVmQ1JNojXVuTnEM6Lir4AzTc8N8gthxqFZylQJ7mCrQS+RAv8MhCGVpHJzgU IH5vwgs2dpD4bqwkliqbXqTCOFSmnytDOVQcmZU3FBVTFY0E1ZWlKlbdPtH/mK1uHnTbyqE8fn4n xoKuEIKCkwBvivBcEJL55+AFIZY3CH4ahYhdJBkSXyCKKU5XFDdBpDWFD0n2TpMbMYxGsgjOxCF7 t0xK90SSl9PJ2TgvWRWoNxGHXRSq0tkC2SAOIz2aghQ6IEIYSa9JMaMvkJLdMxSPIuvLAadXslgm UHGXV0VIfXxspeTeG6O4m3mHXB7WnZuGSOVh0qipAlmloVxxrqLC0tyKw7YSvVhB2GbLlq1/sFox MRx1jR+Sv/jvJpUpPld02QoUyldSqDhSMbHrYCcjwzskIBUx75uAVNJ5lhkQcZYJ3k1SfLew5Az4 bqRqglcR3uMy74SOVBBJb2MHmRXWgcGTTEnJSQySGq+lD2abgkphISNL7nxoREVeGJZFJjH4BTcr p4Q1yc1Oc9NSmjh5oLYqNC3ipu4QjWDKASlxcxGuNFAyyCIKEpIr6TFWkMzFXloXfKlVno0DpEbG UbjbmtihHecjsgPhbkdjBxFpp4LGQkRGy4WbseEkcVZko5SCzJBDFWEKYhUJfiB1gm4KMqN5BYCk QsU24g5Z7J1AO5bC/VjyADkZESuCLKLXcTw8XthY866BPE0bWRZXw3RAECNgI1IkpdtVkGmDFyeZ 0mz/iq5Tjkar8W4fYwGCpDqKrAwyLEYEWUxzWnI3gJHcTLBR4ULsGnAsw/JwzDKL4n8lN1tP9j+5 2ypOO2ERBdYTMq/IiocrY60Md5zstsbwxnkVRUokHSdwEliDlBipZhlhgJumq0TpvYJzxHxvTL5E cBJHSU0sCmSFZpAzgjE4irQxyyzFmOGB2jlrE1ojHfsmkuLbNZw7JK4jZGiHJtmxyEcCDBgiuJkk PRqxEyNhgI/CllCgnWUxaB7LYqF9eDuCqwgjJo1wJnlnwi34FOHbOMut6Mgbnj9J9A6r7JxoFIHp k5RGK+J31jRZmskY9VTw62lttXTMz2gEo/A8UvDQLmko0uUstAxRkhmhkpHVjuyOZZkmhQttkJ5E oWFFAbywoTuO1Jav9CSTPA6apsiyLKZWXHgi6WcCb1KDCHl6JNwEOVHMC0E7cqFt5Kax1YU3jdlI FMgGYWcXxSkRNuAVS7ErRzZZ0hgu2mDpgJTXF9lXk4+oU5EutLpYeJBCB4OoY2gnmVfvNXYxlBhn T+RFNUot6zZZA+eaGscLkUxj/5kovZvQHAUrgLsjvps3Q7hERlPEMoq6hC69WyppGqUENR0cQ4xd FdxxwoOv6FZmZAdjKcUTFFTRGEFIk6SYndD8UagCwkQTYpTGY4ulFPZoUfaAkqeiMRkCwMTFNF4s DdY3dUBJ0+yBLsbUii6QMokkLh8HnU6kiKXobV1cgB3QSLIb3hahDFIawKBZCR6R44+wqF+AW8gE B6WFCGepsVoU6AJkEpgo0BnIlJKxKlQuCMkvJhoctBAycl2+UFkhi22xTrOMLIsr0H4YTmGkdMuM BIsorDJF1oTdBaFCF9gddg1ktE2BfWIZzbooMmTsGkyj/WWLx05AUycLDCMb/EiEHjaZ0MQ1OFlg bJOVdFNolCHzNNOyyHyzlFywXmbn+WaQ0wJvUHxzo99gKXXEFniYcN66Qk/EMnKTvshnhadHYQYT 78ayYNETH1h8b+Isg9CHXideNcgirwq8b/HNjX46SI10BR69+Mrg+UtkzBFYZShqEMHmJHyCVQY0 MdgsZh4ceGF7vzAFDIWUmmY/sYuNVAZC6xOKkpAeyLC6V8CNWERmShexKEhJ2bRbRrcgUoL1somV QSZ9HBXzN5ZiZguYHmQCClDACCEjJuFUEXdkKTZHFrBMrIr5OGk6kFEWWZukYRppK0sVu+omfstL at4l7xJ4MMsMLyWW3I0N3aqAW0NGaFVuGQWHiCy3EkVMHVLQjuRCbSRENKAyTowmtmqxzFO0WBwk QOrIxqjEYUXcMPaINuaZyJt5llHk6X3ZzRE9Xizzdpz+s7LIX0nen+qbvFWIzysZdjb4EflrckYa y2d0ASkEro7yxMKdMMUGn2LimLiiLpVG5DTLHlD22JXMJfUYroa7uhErnzoaVjts+DBbOUiW6ocQ JKf4CjcMfPUr3Km+wq1S/bR1+bf6V/UvRxEkvkPmtgqJipBI84sw5V/qbwGQqP5IUFpIpPlBmPJi v6seEivcHFmFxMpAIlXtlJb3+/eEiepvBKXFRKraKeW/YdwCMLGir1FXMfHtmNCpfte6QrHfFoCJ 6u9QpsVEqvp8LZFiVn9zMDUm0lDM8lJsq/qnSQkSzbvX8IcIiTQUs/yXSVc9JKq/ap0aEmkYZvkP k7YASFTTVSkhkepHrSsU+20BmKjmq9JiIhXBbHlFt5Rs5m+R/BAxkaoAdEtkmNXifKkxkSqJ2RIp ZlRNWKXFRKokZkvkmNUC0GkxIZt3lXxV10NQIl7RT7FUIbEykGjeVfIWAIlqCjMtJJp3lbwFQKKa wkwLiWZeJV/1mPDVHGZaTDTzKnkLwEQ1iZkSE6qZV8lbACaqScy0mGjmVfJVj4kKZXSqmPhumGje VfJVXYSNIFHNV6WFRPOukrcASFTTVWkh0byr5KseEraarkoJCd3Mq+QtABPVfFVaTDTzKnkLwEQ1 YZUWE828Sr7qMWGqCau0mGjmVfIWgIlqwiotJpp5lXyVY0JW+URaTJg0HFO2xK8E2mrCKi0m0nBM 2RJ359oqn0iLiTQcU7bE3bnVlFVqTKThmBV8xypf7JCuugCWFhNpOKZsgQvl0lU5ZkpM2FQcswXm MWV1UTQ1JlJxzBaYx5Rx1XekxUQqjlmes1r1sWh1f25qTKTimOWbrFZ93BFXfUdaTKTimOWbrFoA Jqr5iZSYcKk4ZrnvWOVxh6p+Ayw1JlJxzPL1jhaAiSrHTIuJVByznE+s8rhDRVWOmRYTqThmOZ9I j4mmOoTLPjTVMUa/6R3rJyxD8uixh02kuavvPaZ2WP2YPt0HT55UP7zpbOWKxI1nC4of88cxtZPq f2xqhN+mqWhxYQ1lrqCsbdGPy1Z8BConb9N9BSDHy6MiofXKmLIRq3wGt3ABE6lN6USgvGH5iaZ5 k/koUkZUnOlK5xrhIaOSTHVZxTVWzR71I2Qs41JNTPSuR10UFesdfjAeBZhcqf5Vrk9aJP1eCiTy ElUdI+PKNWlF9bMrTRsKe1qhTCWgVzqDaXNJufSyaZP5yjMWh5/Ur5woqnyycc6Ui82K5izKqzBr PFaVp2wFlfB8WQHzljZpK1fbsWzscBtFV8WDGkqWmhqJCp86qpEVh7ZkOFeyJLzIm5Ubym8tBl95 KJtGqzmHp0JFVwwLF0A1/5vDs3wwlXoi/me7XhOn0D+Z6vE/dexdP3HS3jTvYzF9vcaNGZ6bUD9+ 8rAxo+vyJGieNmCtrNb4VzgTFf4L62+lthmhjRJOWmVsJhKo+5zJRs3T/IqPySCr2WxmYu2YKbUr uO7bzv+PHtvRLGenNYwZS+Zt1KRJ43v36jV16tT8VJUfN2FkL3gaAKN7dsro+qk7jYM3z0ZZHdus EbL79tttnsttnh0wbuyk7I5T6yeOa6jPDphQX5+1eZMX2WHTs31H0Lna5FQuixYmUhMF0nzduIbs oNF19WMnruCKXmPCFb1G4PE/Hlg3buzE3tl+/bI7/RwVcWu4DyQZOnBQdo8Bg7IiL2qy/chy984O Hrh34/O3IdH46RPAJbLE4RTfNRrPqskOHFuXz+Zy27MjYAsulck7mxXExlUdUZVcXomsoH+kz0qJ vyMuNUht6azLy7zGtS7Ou1CaLy9dlv6IURFbZYXOW0cfUdUrH6u8VlmT9yof+6zPO0NntKWn4GpF Vxtcrbgp1EKka+np9EjNRRBRSknEuFxmk16iEmWWS2Ml1xmiJqHwmcg6apc6FedRmylCd/Bf6j1q fWVRaN1ktc/7OGtRRQ7Dp1D4O6b/aI1qiKFZ1IkikRc0w/wC1DNqLcYZ41HQD81gPEhKr+HySqOv cZxF7bqsQoWrvOHKoFwpXNODFN4d5x26oXhQMKCW+0FPRblxktI4KRSQzRLddyiXjJqAgmYBFVZj R/Ni6SmxzvFwopptLoyX8rm8QZedzWG8aZaEzKHvkl4/hz7T8NoctSaoEUGPwoDTVIu8w9VK5Oil HWZFixy9H1eNzOEMhtDQR48WDKFB5egq1D6lO1ROeXTcSjzUOmo26+nBspZMHqp0ZRv/hVaJHL1m TCONGrt1OcsTmrc+R2NJ2DB5ye14DDZ1Q6FF6rLNuXwkuCQ1esSDq2K6nZAmaMJzgAYDVecw6zSd OdSZpaZyKMNHFznqtGZUEFXPoSE6zw/D1Gh+I0yG03hszCcJD/R0fqQAIuiMp5hJ4Ywl3aARplOa Prk4hx7QZKgcKrzRZORQ+ZFG2eTCDFB/eQYwfDwBmAoMNJ2j855fPa8chkLhJinpLAkx3agiTmdp uumsRWMRbqFH8bBTlBHhpSKaRJ4/akDh5egunXSTugglzKkIoyT40XSzRj8wWtKjTQwqtQ4A5wiU 1AeUtstJatviJpoTQRqZI+OgdI6mkeYONc5pbAT/F0qTc/wQEVGD6Cq3rKl/TqCrNHSkIzkU3KOZ w3RYTDHpomQcSDTvgQOahDwNPx5GNog66cKIOjwzb+m62EIVcijOhxfhTkM9fA7KluMWURUT2sEd jfHKwBX6D1RRF4ECAQ0glXWYI+o+7A49w0i8FSYf3SbMmIBHepLml4sBLoUOoBK6RPseJWlpFASq 3pGyUT9IUxxbPGlzZISg8Rh1CeMGG4Sx4VroeDKZJFQqxP2O4E+Pxv2hxiYmlHpNnyNMtfJZDQOh MZZZh0q4OdJENmOYVGHQKPc3MlxCjkdIsZ57TC5ZS8XviIEzsJ80DoKfjFHKwUZTg4CJZONvMNDe QG0JudSSAXTyuIq0jewd30jzZGAb8QC2RhbojmBZoQOSa7PSSQWHoCymp4Hmmy2pFnU5FH3M89yR 5abpQ6FVMobQL8fWlPBOcDTQZwt4OtSkZc2EeaGXR915z/Y0pyMYF7qcoCX4s+ZnRhhq+DMoBebE BaWjj5gZTDIcGGskrDdpvgnvR6Y4Dm4NkNP8jjyPEhYLvimHot0ogJ3DQzGEFvijj1zPFSggr2MN 2wUHKxRpaLbEIOEcQKrRpQhdQsVIEwYR9huGADKBEov4yH4RVS8x5hqzBw0HzNAiZhy2kq2zYDNP b8lFoHGS4cguBmUkYSRRkZTLIGfDgFqYVy5wC89kADqywRFuolcgX8RzBzfp4TecZ4/I5TlJothb 0I3okGH9MIzHmE21weiqOAyTZPhI5hKW2qW+yoRmsA+L2JgzZYksV0ZmtZJcexh+VPJrKdzlAE4L Z6PibNAaehm8imGFxkg6CT6i0CnGLteJzNLMkUcmO6Lh62HhLV1LkICbF4qtG96SnWFQEQlbJjGP 1GdYVpAElQso4ZM0jkASzBYKUtI45pg8kO2BuYuBYcemjxyuxGs5n9gTjKOFwtOba7Yz1D8eKhgU ggiNFCHRg77FbPtlIBrsdSIMpGHXSR2kgYSCG9bFAC0N8+zDRJN5heMzGDp2NxG/E9yDZn+r2IuQ dsXBdGEmGOmGHSW8eAyF0jCVzvHTwArJLNPgwp+Tl9FsEfBJMYmx0BNcjBe2cAak6QJVislGwbsG 64J5yhnopOGOGn5XtjcyZnco2VGoZAzwBj7PLopUklBHHoewS+qr2T1L4JC6nTOazbQG0fGsaDTM 1LjjOSAooy12vGRPJE8740KxFaNRYEVE70R4abTnMPzsSWEM2M1L9us0GTMGC0CeYIXe1wFTOWan qEjrEwusIcWgenZNYTwtZowZH6qDwvzG7KoxeZZddVAfngTFmqjh1j04FY8K1McwIwq0inkkMygL D2RYl8G+cZfNsnXNQZ11sDawD16wv8V1DrMAXFgY1lDbNgq6SJzMA78Gjg4oYvyQIgvUQYaOKq4e Ky0/GyY8RCOwgUTe8RoGWgPVlfiPQPVwzf+RgaEzoYQ34vrueA7eI4aSQ1mpl3lQw0gGgwJQwL4J aI1mco3G2OxBPcHaFet+xGYbta7ZgSk2DzSi4UbiOKQZbG0Z844NDIi8Yrfr8CgRLE6EESDqKEDw HdNQRCv4W7H3DJXOMciCSQRfDEJG9kAwTaVXiZiGQUroAw0zND+ETGgLu3WaE8OugfkRAxzGOcdT SeeZiMU2cF2AUoHSGrhUQisIQABeDOpB3p1wHrPbhj2LwDXZr0UgaIJZG7rK1A3EG7eYQK9YnT0c VwQibH1gxSIOZJYArjjkCAQV9Dt0zrMRzQULi5cCTEHB6XURv+HB2rJFROMeI61Z3yy8mOcwRnE8 Qh6MWS6groLp8TC6HLAIQESiVwxIGAswfYSMhombdTMaBAGb+Diz/zqJeXPgA1pwmBAAiuAFbQGa igFkUWIeEZxne07jzS1wOMlOHBE2kwPFrhCOkiMwicjO8H0aOmc59tPsvuD0ECfD1WKwOZgDX4QL k4A1x+2wrlFWsROE+hGqwJvQZbJsrJsxEA3TjGAJfgj2FuOv2cFLoEWhTYxDiHqJU5KM403Nhs4G 0sAogNHhkMnzazJW8fao7w14MmfUPJMWUvjG8N5MtnAShgn44RcTHNoozgXABgaubtFu5BPeF0GT YfGYiYJZKfhxAdNF9BQ6zdEMgSPKMcoRGVlmngRjxVoF88zcGRbCQUNAtdA44kSDp0tAPwBfsZLm gtpDYaD2Dr7V5ZgdRyzhOBKDA2rPsTk1S8TOCNa84NnYL3oQRExhlLyaRvccz6PAK4FMWZgRy6GQ hI1RPrDTMKSeWZXhLkNJsnytZ3avk7DQJ3yMPSAINIIYtuQh2KKAPontNdt+zXejfY7qBQZOcFiB ZhrZJs8mnJ9lZ8jBrMOTHYZIsjESPoRpWLjEpd4Fa+WZxSoOMzh+A1RybBgAHcNk3iSmAgEmqy7P NKwEbI/XbCHhqDA3Mekq3Us3Zw29h6ljOxZYLWg+FFPBXIQ0iQ3uHMMhghuLTUhCKM4BeZALo4Mx cWyrFQYEVJRHQgSdRxyEoC7i9AxHr5hHQALsmQMWTjK5kDFSnCDz4MrI68DQZ2HHwLsl6BZ1yMJP Or405Dak42gKrBwODUQZbocNStIPZuoSPjkC30VdczBSvgN8Brcxi81y4AGP72ChkY7RIKAskpLd VIRo1uSCq0Pch9SjZv+e1z4YXsaFRrdB5qGJrI5Mh7mDAmimMNQH3s/2Lc8nAH2Ekcgs4lHIssC0 gHBCM5I43oSXw4Sw42dlAfmFUiv4C7h/OGnLbpS9ksqFpEhkWQ/x/iFi8/wv8zJWLIfMUHBTMigz Uo2C4WdDMmT5D4sbHxZ7Dqapx27Zw2Tpw3AiVo3KEx6GoarwMNv4MM5r8KzgHp84b4/sDOeqQuIS yVfwkODNOEerOYBSSXjkdYCGZrtvMQyeT1C8rzg9GTKGZHdjExiRwaRGMNJwK5gEE1KyccjdxiGC BwA41jTsAplsMdJ1AAi8DAVXTCI5x6o568s5jpD15YQj6B+D3Kng1GAkQhxHA4VXAf6RqSPGb0B9 8kjycpAVjDozYjBsJqiesyrQT07KgLSwpYs434RYnelNyB4HGq84/cNGF6iSIXVtMAOW3TxsDqcb PZ9lUglcWnQ5sBVmtzlmpnFwFsxMDUxNYBeCs7UxtwwDoJBgNMzHs4FEi0TDYH+c5pfXnLJhYs/p eA87zTTaBqtG3gHcATrA5iPwM/YNsOOe801swmgUhAjuBflW/ogwPoTwzI0i0Th2GiPAuUGgih8V QltYGR4EmCkFTiCACJ3EvZIHwYOacKpOAkOaGaHl4J0ZqARyYk4Dgso4WE3mw+xwPUwd4sngIdhg GvgNCwBD2khZwMsk2D/iDzgriaFTrJAcBMAz2LB6wUEmeIFhlwSLbzlsDZk9ptlkF2O4cxUHZ+8D UeCID0ETAMZMB5wrF4c/g5FEw5HlcDnL9pBginwIesHm27EIOgCchfAHCy5ZXhmRYGMeKqbD+gcP IVtAjXHGwNqQsyK6YpMkAzMMBmHEJgZMNEZEaKHSJqTBmUqQU0fKNwZuNEeToYscJDvO79AIG856 MFPmxDnNdMyGgtPgZJ4UgEAtwLbFvBQhOKOOnAgcOmg7G2hOIiNwySkVKJLmVDTntGnYQLFNiB0Q A3Dy1YDLIP3q2Qgysyfo8KoK2nec/Fa5JEnrAEMDA8owjBq9seDcDE8cFm0472vhEE24JZg/FloO gRNQupCxS4JLZCeQGLQJJwwQQMChmMGw32MSCs1nIof0G+w2u2CVJD0820fJrAiWNKQGGtciXDAw QodcfZLNYAYmGduBMuLpFMjIEDdxOl4Hj8FMO0KbMQ8iqDddwTEiLwOQb1U8oioxEojJTEgA8IQh eouZhHMShC1B4v5MU4QHM8fKjZc1IBgxKzYiWQ+rFCNbDQ/v2b45jnJidtw6cHsO3OLE8secm9N8 LS8aBvsYAjawCl4k82jXcTYQBjsvw8IYJwA5n4UX5nxySG+HZCavydgQsfAMRyFRynEaiLpETwQy MdASXvuQgfHBBXo+FXPHvAoK7BKT7cMaIQIUgaQKJ+tkaJbTAZxjY19gYe4M+yKQF4YOq6+DMTLI GSA8Y8xlZYhgNTtqdhsyrKHCUuaT841uyQRmHpZSnQgpRaZHKqxsiVyS1tW8OmQ4GQIsRpzX5cUc dMKFFTPMpuA8eMRGH5ot4Z7CKhyWTdmUAKHBKcaICuBR4uCCAUQHag91ALTjHDvtoFDIUWiO2EB9 IIADlwgUDBtihJX428MhSg5jmHmJxoiL13wsRXEuz2+RBFwyxFs5vscEDwmlFmHBR+ECTovFeFXo mwnO2phAv3IcD2BzHppigsDxC9KZBn2I82HRi1MdNjTLiciYH8TpCl5PzDF8Gldu2MHw4IZFO6YP ubCUiZnThm1LLsTeHCTmXYjIELQj6MLccj6RHUtIyIR1XdClYEh0UBzNzj0bMjYirCBp2FYDJbAc 4DlevdY2hHgzGlQS+Li6wPMtUydeFsDIimRt3MXBd1JABTOm3BTwTFWXC0zB6ZC70vQqgmMXrHCG 8JofGHGwZvkDbJsKVMqBBhsTckUisDjFE6PYPXM4zD3hYWJ2x7ghoxecCW9O4Jw2wwM4UIQPwUhO nHs4pWBQojhxW4wrxcuwGGhOtNnGKBEpOF76wEKt96zOTYEJ3I5gAs05BZuslqvAGvE8DrniXFAY fqpB1JSD5Yo4RaaSEeEFT4l3NcGFQXdUiEJZjeFU0U/L8IWVjxP04DmgKVaG/BpyfVi2CzEd3gwx umO0cwASIkYslApe5ZJsN8ETMd2Kp0swtDizCW+CJ7lk4wCPEplgxSvVNqReNO+3IGbG2cWwvsAZ 4BkNJuxPIFiBqXE+Jiyp5HlVSAVkO4TDzgbehNST4IwvR3OWKXXYSqKTbAUHk0mWBazYwlfBbFl+ PM2E4g8GK7uR4+0PjFAjg0kM6XTEsAxPx1MskkQSgirPCSFGAS/wclYg5iRRVoT1Rp7foGNS8poT xxxhDZ8XrOlFOIeFiBg0PSzwykSxLCIqPCU0GHxbVoQAnd/YIPnnVLJnRIeEgeXYDp0LKovIl9DA MRE4UQinEdRwQMu0R4QsVcxLtiYvXKIkKphVdC9REhGMFxSXVxg9OwBeOwC8EmsiQ5bfBNeow8tz f12gTCbsCPI5nnc2wAGrZFmgowxjhiSMgPb8AfZiSi5YlATZmCNO9rEXhsWZMdjyKqGw5PtVHY9n 4g4ZiToQfhu2tXjOuCBBEHMmVDoOybNQNpAQDhBNAEqOF784acJw4lxTlpM+inGNvDFxDU6fyaal BMtJUMEX8L4RF9K6Ak1jiUty+BJIQ8zp5MY5hl1AehfLkI4XQcO48Qoeb5ky8P0cw8S8wyfLi8om bHuJuMUkzOd34PVOnewksslTOTXNk8PqxZ4kECo8TQRyHMgbr84avGVYZwmLwkhCY9uFSwIKdkV4 eeY6jpdAAXHHK66sZCFBA0rN9jMQC0RDWO+OQm5acNqSJxmBDpN65kSN6Vxiq5JDFs2ZRI5YBIeO MtB9GAgoIoeY7MNDMjakaJKUIOgZAgmODHm3imY8ADYGoOP1EIEUpA4BXhxIu+eUv4LD15z1xYIj 00kZFlANbycSSVqTo19E4cmWE3b2HCq5ZCHNMjESvDWFqTvvpAlLlrD4YSmZewcWY+PA8hPLDyXx JgmcOPiOQsZScT8RtyH6FGHLkEwyto43aOVDnAMNDiEd1I1mFD4Qa/YyyUBxAghciSOa4HYZhbBT uZASSrYaYXCJN1hYRF58hCo2Jv14swXbRwe0hiU6DlVhwpFyhN5EnAfRcTZEPZ41RGKdwTNBUbwP IGZuzwkhGwIp4EvwCic8VRxsD/QlDmEZVnR82ICFl2DGwMkmAW5lwsYTDG7EVtWBN2YlrwlrXuIP iOR1+bA8BXUDSQd3JQVWjAiz7PHARljyEJyfAV3Cec9Lk3werx9xhOeD3bSc5ol4rmKRhIIxC9m9 MBaY6CFPz7wQOx1zyWpr2M6kAow0uCjnomDReQXEiCRdg+Vg2EUbtijx/Kskwah4iZKzPuzMmGBx 8j+JFGJWGcHbmJAmCG6WuRfvkxBJTilszcozUFxYIRIiuAKvOP3IyRJO/bFqKE51E8POhiQAbzLh zQ65EEpJ3hGGAbGB+vLODFjnXJJKdrybxgV7z/kUZq0uWLdgD3i3kWZdidgUew6FDec9kFtQwQEb 6AEvu7JfRFwmWQ2iZDXBszbpMKkiGR8fli+iOOmhDPYvLM3Aj3H4wYufSFxhhV8lSxjQGscmj+Mk A7PBqgcf7md077V9+FrBqt4l/f/3KN7/P3LC6OE5fBul+Tb/Z75t/38kIqmx/99EwmglNPb/C6ur +///G8fK7v9v/Fqk7b7s65P0GVjp071u8oQJ9WMn9cN3k7tn68bUTqSnDRudHTY614Sokq8QIGiy /FXQZRvuQaTMjoLXgE3YEp3lFeFRqkTK4c+UUqmB5R2VKxXziRkNPhuVnogqPpxZdPnTkeap9Pg4 PD7ns75C3+MKfUe7FTsvTKXeo+Hldp+eX1siDn9NKZHnkr8qvQC3QMa2fdXa/tCOYvtfN6G+dtLo KfW5unENDePGTszhG4L1aZ3Bt9l/E+mS7385F1W///VfOarf/1r+97+0w87mfsojHvH81gJr+/xJ GlsXNomAq3tE+AgOsXUdn/oJLGZmCdo0XirWbG3pHlhc7AriLe0uix2o3MqMBiRCSNRPKGQaDO99 wSWkHmDi+Ji0iU0IWezVxkvk8Y0uhZP8WUTYtx6Fv3Ie0Wj4yP/lviJxHkdYDYvCFtpwmj7PaBDI D2KtqQ4RWsQbmnnDAX/Af6YIT36NuuHyLtd4Jtd0eleJ4KYOKXpknnHO5poumZIzehT9fx1vOig/ v4+goFLURQg8w7olhgH5ED49SijLXXNNXSvoGD3a6BmDBcXKcVZFFFCN0hGeGVOgXYdlkqZvLCDC Dk/Efukp2HGtduUbpwiSaOxvtDRC2GCyq0QQFuSj8LUds49EjPP/IzpZZv9JzcaO6PWfaANG3hmz PPuPI0Mot86pyEbg/zR7LpM1/4nOlB4/cPtfMP/jJ4w7tL5uUvO3wf7fLtf/R8oJzL9D3KeUxPxr XfX//5WjR3aX2oZhtROzQ8LsZweMHlOPzFj7ofgRp8nj+wzYqX5s3ajBtRMOa79P/YSJo8eN7RPl o7xo329cw/hxYynu6zNyWH50Q+3I+mLRyMmjiwX4OaCyS/JT64eBXBSfIEZSJsiPmkTSvWuHDR09 o76Paj+oduzIydRqn/qJB/cf2n7ouMkT6uqHkPfu02sU0YZePGO96L1GTqhtqK2jjrcfUlt3GN0x oY+o/lBFOAr0v3b8+Pz4sc2X9mk6vkX/6ZRL9F9JigKg/8pU8z//lePEIbvvsnb7H0Ed1h646857 0b+z8P9rtKP/3rN97UP0T5uJOw3cew06jlxj+Al03UEDd95x72m/e+f8I8bv/fF699/1+guP5NvV ul9efni3I9c748rjdrxq1jsn7L/TjW/c8PG9n12zU9sFa67bsMlP+u+1y8kNowfZE9c9eOjli8/u vf7W89f+7MqhFx16+JFdOrdZNLZu2hbD3Tmdp3z6wlM7XD9q4dtfPT986ntjb7nrsYe/XnDXxJmv b/HpeS++snTTi15+9dcdHvzNvd06Dun52LZL2u8s9Wmtr4v3ythd2i98bddWf914m8x5PdoeMnHj 7sfu/fq5pz+9xoylGz7y1APrF528JDPmlHVnPYI7F203a4ubp88YPvSn01v/rXWlK/Ds11od72+e evYG7z7b+dU1h6/VdP7Bz0Xfup+tNviapa/f2v7pOJNvc8sGc4buuEHHvqs9vua8c3fcrMt1XaZ/ 0fvF2c8tfnvA2jfc9lVdXd8FvdZ54LEpNQP+dXVm/5OX3vPK858NHPjqF/07vDpm3mP7vXZV7amt 53Xuu/nsy1vdsol4ed793/Q84aqb89sedeukB/9x9cZH/7rnfrv2/veYzzZdI362rd7HDLlu4cxd rl7rQnHx8bMXrL5f21afbXrOQb2P+Pz4qce8e9LJssvlXe4W9V13vf+O7MZ/fO7Tvg9u0+qX2611 f7d9rzm4031dM/ddvv9mXQ7OPOnaPf/qtqfcMnf/J58z+5jOw/Y+6435M65+/9z2cY9Zj19x0u87 3P9lJr/HxGfavHzw2xf/9fhNXtn2H6Ov+fKwdfcde8tqCz++45RLM4O6fHjmUedN/mpwpqt8/bhe h3/8xrX1e7W5aM/6F1v59y/dZd62Q+98sv/itp0nzD3/wXlzW825YeHzet9O1zZse9AFc989qd/F PS+7fvderTZY/PpbRy355Iyx1/ectcfzu/1qyc6PXTx1i3Fdjhy472Ff3rPkavHGBzPnTv5q8sZb DxuxTabfh10OHLDw5kG/ndr6hpPW3Pf3HT/7cOt1e3f69canXXvlT9fsOrbHvFaRe6f7Sxf85k8v v3z3Ll+vd0T7v7ze6q+ZhROPPHenG9wm28uBiz/M3L3owwXzPrhjq0GTW+/w5vBnj32l+7b3HHz0 39vNaTcsc9NW2888dJurf7xY5zKP18//6bn/vm3Apzf8/tLTHjn2t1fdvP7nv7r/ts/2HHanurXT 2bm+e+mD2p2W2fBXfc95Ze1n831ee3Xri664Y8Zb+7ygz9vgrK26+2t/ednBdfK5ulH5H5+33luL Rsw6/c4jM9nLrh65Rf/hl7ZdY/r6p6w+/tiFNT8dcs37U/b+5ojs5E+/7j/uoE0/PLPrsXM3/Jsc teYsM+KtsZ+ceeH8WZvtuYE794idXhx707tjTjtr/VkPik6tP+jyz03HDT+k1129Bi+dsuXsjdqO 6PbOlC+PO/e+s8XJ97ft83XPtrevFX354ewLat+8fETDgv5Tbsvc98x993523cAX95t70slPPjDi wD0//lOrP//67b3bTjzjrLbPfz1xp02/2ezGK27aaOGwzDWtfnndp1ff8cxprf46su1Dba/76N/9 85ljlm73zZTrjl1w57o3Pvtem49eXLuP2Ext9NclB2m595ApRzz+ysyuvzx1w/0yiwYeO/7Cj2Z+ 1Xf9+zKPHnvKsHYbfbXlJod3vLzb5ht/eO6x6804ZYOPTj+r61M3PP/upRdvsu55F/e7q2cnPffz c4Y/+tJSedOl+/9qvf3yma1+1+6Vts99uvUNbToMvWLzx+av0/fAuxfWZ/ouPGzWlAvdAS9Our3h 6Utvf/VNMWrQGv17zv9yw+xOX1zTb6813rvsD9d3OP04kTlV1tS/LXt2mr7+WdHTgzs83PY3nbIX zr61w+Sh10anbPlEp5Nfe2XJXWvs9s+pTx40st11B2VqNt71qNoDrr6m7zdvtevRtf6rP/5i4/32 XzLmSdtw419fn3fdAZn5W+51XLToiqWjFrw4bsNXntyi7fprzXpxt/uzi9tfPa7VCX//9UkbevV8 /twnF7c+svXjR2Y22+i8Jy7Tnz/kz16r79bPXHfq6tGW4mdvz32h1cGny0VvfTVzj+4XDvhzq6uf ObHX818sfPujp7e7tNXCWwd06rzt/DZ7P3rIUd3mHdrQuuvIg4544el/3fvcUW88v+aR251/4vXX fvmv2Tdn2tw++KXj3t77/i8Xzd5s9zevOOriSQ8esHjYB3vds/qGp/1x/NKR876+/rhLW+/69twj 9hp1xRtPnbHe9Hs+HtymoXertQ+ZNPuJ/n1X2/G8F17UnTP6mV9mNjgws7i1Pnh1umb2yXf887mf df10hxmD5vbP3tN2i63GjO+/z49GbDZxzd0+yowk9V9v4af3nj3p+j1Hv9z/4PrF7/3yFnXDqfN/ lPn4lvmPLby9Y/s/nPzrJ1/oXbfvHf/Mv9Cnrlu3vfZWcw5udZDYaN/8IedmPrl17ow1njhrq0Ev btlxh9N3f/GaB/7it/s6O2toq6VrPfzWS0MWf/7cYVOOHP305tfscuJ919b/5on35sSnXpr54pU1 +r/X6pBz2rR+vNUuS3uP+7t6YtKXI/vfddqBT+yx1Y3bHz3q8ckZ177moMeOGzpwtbvXaaX3OGeH nZYMuDV6ccCRC6595499zj2h9uW7bzvzshG549a79/FJ9zQM7/DqY7//7IF2Z3dofdYFtW7H3730 +w8mP33Ngu4X3D1v9AH5aMmJE5e23e2YgT0WP9x6A7dWzSc9x3/95On7tdvxgQNt+5d+MWfMBv8Y P+CSO+9aMnr3Mw5vdcOcn2/Xcf7HM+ev98L7P737R30/OWSvd3d+b9HQvU7443Pzxz/50/vazut/ 48+jgxreOmXJB5erTe4/ZHTuw06rfzay9YLcL+bO3eqRIa/JDbtlup6+1eTMrFn7Trh1yZwpF2+8 0PfYqN2h10/u0Odncvu1si8ddti/71907Yjex9+pH72l//m3PzLxtCvfEuNuWTz+qftef+XdnvN6 fHbrvL8ce8/nD/xmo682u/ek0S9tsePnX57b8ZCbj1gy6lfr5OrPv7Zm7Py9ZnXKXPNR/8fuPdW/ 22+HrY8+5eKjJw2fPHVG9xsveHitWeK+UW1eOuTQ3W9+6L4r2/Wc/v4z2zz8xXqHHPD77jM2V+t2 bjXnnt5Lnh28Tofex479Js7sfNTMX518/ojrz4t3e61t3+jht+7fZtgtX6k3PpnaadK+Yw9/9Yvh f+84ea9pL1xyym2nzrlg3KQ9hp605lWbf/FV5x1kvmb7P5750H6nrb5rw8gOO+42dOPs+8+/cMpz 3fpPuVe/kl847f3288zBp7ZrY+NT12sdjTk0HnfJG6OmzThl3y5nTb/nxqt25onMHL319XWHfD7k 3S9PHXZcpsOpu54x4va2c/r2uvSNHX4677yjNjGLzhjQ8G7bz3972bWzs0tWe+n8hts/OHHdV/6y 5tWd+y7Y86Jrtum2wVk/Oeetx7/pmB165+THB4275b6n9R/O+90zmUe7nHPv5DfWOv4vl+3RZf01 Zq3thvS85DHb88LOa769eu3dmfPfbHPl5D9OfPOS8Y/MfGS7zjXv9+qyyaftMtEffreu3XTnjlvK fKb7GN1z5OP15IuPn9vv896tZ/ZYNJgG7Jr75oz8+Z6XTbvHHK2mts/0JWfeZ4OZnX/x4SdH/nvp c4PO73fcnLXm3X/pnSe+cN52p/+z75z1T3zzgyltLnikrkGudtfq17Wdc0+md6sXOj7+o9a99v7o 6fknnrZwcNdO+6x1U8PMezfd4/Mx0QWi9rmLj722T5d2Rx/14LRNX4IBJ0rRLnPxZUcf/sCC6x7d 6OiHxy/0m+/1zQ6ZT7fafpsFl897+/4/L+2W2f20XNe5J3+4er8uV32y2gn7fLn74n+uQWzjkm/m HLTOMW2//skJo9cedPuR0Q43N/x8yZrizR023a1N33Wnt5q/JDt+8MD6V/ZQmzz06FPdbj1m05kH vtx7f7XDNz+ZvvVTSy+67bmtF63Tato9j+18d80/ljw077k+7/5p5pm/9zu9e736qOOV41brfEq8 Tqt3TohvvHX+K2/22/ChjsdvfPxh652z80bb/6x7/eAHhk7Zt/efjs3d+eUe7af/Zdtz3+iaeWrQ 9jf16lj/6IZfvtXpkm1POeDPstWgU65+e/Pjuv02+tmG/97vgw/vGzn1lAP1VutdeOFtczv+fegQ O3Pn1y+67M+/rh3x3md/u7zfhUfNuKT3Weq4fq13O/X46T9pfW1m2j/OFE/cfvsVt/X5V/6uu6YO vWz6/u23Panf2G8+POPHzw0adNXmL5zx+Nznr7zyke1OO73PgP2O7v/wRaf16Dlg0qa3ZRau2/W1 Tbc6eo15B5P7HNB58RnHPLLnr2566EBvb7922zc3WG/Nbvf97MYTJvfudvUerbZZMG/Jlsfe/lHd yR1/+85h135z5JA9Ou1Y022hO7bTZi/0mfFgp6enHdkjc+GD9x8/e7yZddXPV/9wfs/bfvF30brv nKf/fMzE93I7dD6g75kd2l1w6oIpu+Tf2+PhNj+/dev3b7jpyvWvmHTriTtetN6fTxhy5zuz//bs 3955dbWf377tX589aEG/h4aOlO/X3jTskJf69X9i5IyftJ7ddfIFvbpf9ey9Fy7e5xn5u1Mfzgx6 9eWnVu+x6JBvpk25YOabd9/2ac3H59cN/+rF+7Zcf9+xa9/21TeZizou3GbDSc8+svCMjpd/MeSJ 2btM/Lrn1G0f+OKuOfFJvdbZ7zy38YuHLPoqmrz/zOz4jU44+49DPx7cYfW/vPrQNyddfXPmqIGX HDDzqdcOGnLUOQe4aPxGs04WV5y88a1rL9x/q4+nH/eTF96fcsk3j87uOvt36yzcc53nFw3NXHDo hgum/W79Z0aI2nazd1tj0o8+PUiL1ne4aUftuLBV5g8PL+1yxoezWx8ZnX3+hR0u/dOM6/vv3n5e rxNf++LaE0/d4pF/PbxB39M3KWHz7ZcXDBSc/OfRs+bdP+6h56+fsuNNy7vl8M8WzT7z3Zcpejij 9oKXPnl0nYeuOfqMDhsvN4zY+pVPVzvhwzanv939F8treulmt+01+m+P7bHWlwjPBvbffedrdjrk mFUXIFaP6lE9qkf1qB7Vo3pUj+pRPapH9age1aN6VI/qUT2qR/WoHtWjelSP6lE9qkf1+J84/g9S xHO2AAAFAA== </salt>
Re: New routine in the development version : Tokenize() | Benoît Minisini <benoit.minisini@xxxxxxxxxxxxxxxx> |
New routine in the development version : Tokenize() | Benoît Minisini <benoit.minisini@xxxxxxxxxxxxxxxx> |
Re: New routine in the development version : Tokenize() | Benoît Minisini <benoit.minisini@xxxxxxxxxxxxxxxx> |
Re: New routine in the development version : Tokenize() | Benoît Minisini <benoit.minisini@xxxxxxxxxxxxxxxx> |
Re: New routine in the development version : Tokenize() | BB <adamnt42@xxxxxxxxx> |