ID: | 3120 |
From: | ge...@igor2.repo.hu |
Date: | Sat, 8 Jun 2019 12:06:50 +0200 (CEST) |
Subject: | [pcb-rnd] project state + camv-rnd progress |
replies: | 3123 from Anthony Tuttle <ke...@gmail.com> |
This message is in MIME format. The first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. --0-1708552679-1559988410=:2358 Content-Type: TEXT/PLAIN; charset=US-ASCII Hi all, for a week I worked on camv-rnd and I have the first results to show. 1. what is camv-rnd? It will be the viewer of our -rnd suite, capable of opening any file you'd normally send to a fab to get your pcb professionally made. This would include: - gerbers - drill files (gerber or excellon) - IPC-D-356 (needed for automatic electronic testing) - one dialect of p&p files (needed for assembly) Furthermore we could long temr support a few other formats that are also supported by pcb-rnd on the import side, e.g. HPGL. 2. Why do we need a new tool? Isn't gerbv good? Gerbv is generally good, but: - gerbv development generally stalled lately - ... and even when it was going, it was not in par with pcb-rnd on speed - I have a plan about getting genxproj into production state and make our ecosystem more affecting for Eagle users who are planning to switch; for that I need some ecosystem related features implemented in the gerber viewer, which doesn't seem to happen in gerbv any time soon - gerbv depends on gtk, glib and 2.7.0 even has c++ parts - which means there are hosts where pcb-rnd runs fine, but gerbv is either hard or impossible to compile. - gerbv uses a autotools So after looking at the source, considering all options, I decided it's cheaper to write one from sratch. Camv-rnd is building on the same infra pcb-rnd uses, so multiple HIDs, no hardwired glib dependency, no autotools - so it's a bit more portable. At the end, when it's ready for production it will generally run on any system pcb-rnd runs on (which will definitely include C89 systems without glib, gtk, c++ compiler, etc). I also want to provide a strong CLI support, including being able to compile camv-rnd without GUI (using the batch HID) for automated exports, including command line within the GUI, including fungw scripting. 3. When? We already have a testable versions (for real hardcore users), but it's very far from being usable. I started with the hardest parts and they are done: booted the hidlib, got camv-rnd GUI and basic infra up based on the hidlib, wrote a gerber parser and a gerber state machine that can render the files into objects I can display. I expect we'd have the first version that is somewhat easy to compile and test within 2 pcb-rnd cycles after the next release. But this part depends more on pcb-rnd (and pcb-rnd's hidlib) releases than on camv-rnd. After that we'll probably need to run some beta test period using real board data and if it's not more broken than other gerber viewers out there, we can make a stable release. If everything goes well, this stable release could happen next year. A lot depends on _coordinated_ user testing. 4. Wait, what's -rnd? And the suite and ecosystem? Imagine it as an onion. The innermost group of software is our EDA suite, which at the moment consists of pcb-rnd and genxproj. camv-rnd joins here and later on, when I have the time to write cschem, that will join here too. The suite share developers/users and a lot of concepts and code. However, this does not mean these programs are integrated in any way or you have to use them all together. They are all replacable. Since pcb-rnd's name ends in -rnd, and nobody had a better idea, I decided to start naming the whole suite rnd - but there'll be another mail about this. Then the next layer around this is the 'tight ring' of the coralEDA (the ecosystem) - tools that are not part of the suite, but are closely related. These tools work very well together with our suite and other coralEDA projects, but they do have different developers following different concepts along different choices. Xschem for example is heading to the tight ring: it does a lot for supporting features we need for coralEDA. Then the outmost layer around this all is the 'loose ring' of coralEDA, where we have tools that work together with the rest of the ecosystem tools to some degree, but are not actively trying to join the 'tight ring'. Gerbv for example is in the loose ring. Regards, Igor2 --0-1708552679-1559988410=:2358 Content-Type: IMAGE/png; name=camv-rnd.png Content-Transfer-Encoding: BASE64 Content-ID: <alpine.DEB.2.00.1906081206500.2358@igor2priv> Content-Description: Content-Disposition: attachment; filename=camv-rnd.png iVBORw0KGgoAAAANSUhEUgAAA+wAAAKbCAMAAABYV/B3AAACIlBMVEX///8A AADc2tWempEvLy6GhYE9PTtgX11ubWrS0MtfXlwaGhkNDQ1BQD/Bv7spKCdo Z2U0MzILCwsqKimpqKRGRUQ/Pj3AvrnQzsljYmDa2NMPDw6lo6B1dHIMDAzK yMOXlpLEwr7GxL+1tK8jIyKEg4CnpqKamJVsa2jCwLwCAgLMysVpaGZFRENC QT+7urXT0c2uranW1M8QDw+mpKDRz8p4d3RkY2EdHRwJCQmYlpNoZ2QzMjEK CgopKSiNi4iZIgD/qjOMiYL7+/o+PjwBAQEcGxtxcG3b2dSCgX4mJiW8urYD AwM2NjWQj4t9fHkJCQixr6vZ19OysKwfHx6OjYoVFRSqqKUEBATV086sqqZD Q0FLSklcW1lPT00QEBCVlJFycW5bWliTkY64trIHBwcUFBPY1tGMiocsLCtU U1Gzsq7IxsJ7end5eHVnZmPAv7qkop+rqaWSkI0TExK9u7egn5uKiYYFBQUw MC9hYF45ODfX1dB2dXIICAh6eXYXFxednJjEwr0gIB+JiIW6ubQSEhJTUlBh YV6tq6dXVlTJx8NNTEpRUE/My8bFw75+fXrLycQ1NTSUk5CwrqpAPz7Dwb04 ODZMS0q/vbkvLi3Ny8d7eXfT0cxPTky2tLDGxcCjop48PDpVVVOtrKh/fnsu LSzZ19IODg06OTgxMTAjIiHHxcERERFiYV+cm5eRkIwYGBfU0s1HRkVyn89u pderyVnMAAAAB3RJTUUH4wYICR8UzqH/rwAAABV0RVh0U29mdHdhcmUAWFBh aW50IDIuOS4xVg2mGwAAIABJREFUeJztvfmjfFtWF3bqvictGnzQtIgNdhOD OIDaaejWDo2cPBpCFBw6ikMTk7RRnKJIJAmZVDDEmMQEjQgZTTSaxCQq6v/n t6ZTe+/1+axhn32mqv354b3ae02ftfb+3LpV9976DsMSOL11dHTsDMOwQNL3 utg7OnaHLvaOjhdBF3tHx4ugi72j40XQxd7R8SLoYu/oeBFgsb//i/wZgG8X e0fH/iDFfhZvF3tHx9MhFftXnN7hK86PuNi/4iMX+y9+7HSxd3QcApnYP3J/ 1MXe0fF0kGK/fxv/lb/kl/4LX/XLSv+H2O/2s+8HX/01H/3aj01OXewdHfsD F/sv/7pf8fW/8ms/Xvg/xH63X8T+Dd/49b/qE5+8O3Wxd3TsD+I1+zfdxP4v nn7129vHP/EvFf4Xn9PpFz/s12f2d6Zv/jV3py72jo79gT6zf8tV1b+28J+e 2Sf7Rezn1+1f9evuTl3sHR37AxX7r/8N34r8J7FP9ovYv+2tP7N3dOwb/DX7 b/xNv/lT//Jv/HTh/3jNfrdfxP7t3/GZz360v2bv6NgxuNg/81t+6+fe/1dK /4fY7/aL2L/z89/1275lcupi7+jYH9r8bvwH350tu9g7OvaHLvaOjhdBF3tH x4ug/4lrR8eLoIu9o+NF0MXe0fEi6GLv6HgRDMN7C6CLvaNjdxhOi2Drtjo6 Okos8V18Q4wqAv8glQg4f0kKhKQLalAWeVIHHBEsNW4Ezat+kjb3NHFWpCEX b4Z8m/jVjGk+6SXxrxZ4NbFPAs/EDmVPbyi/uval1htCvXm7p1Ph46oZpKcD 0X5WJcqygho2WH41g2pBezF8mK1O33MTe+QTJmv8a+G5VS7c/BOF44cyRC74 1bUvtdEQaM3ZO50JH1bFGJ0NlO1nZWL0Y1CHY1arGlUb4ovgw/Sp/L1XEzv+ 3v2Et+kN5VfXvtSPa+PtzNc6HQmfVcUUvfzL9rM6qGgdF4Ue2rXrVQ2rFfX2 eC6xj+6+L94n8r07Vju9ofzqmpe6mdhZVlqOtJdaPFP1009TZWlBDU9lJ2Am uUUqRsall9wDXlnshdZPhtrpDeVX17rUQyuxs6S0GhyIZMv9w/TTPKCSj2UF UDKQndRUqNgWYNoUV7F/8guXD5rIxf5Vp+/9vn/t+9/+9d/+bv07fuCXTR8f +8G3/eB3/c7f9X2/+2t+T/6RskcT+ymTdC5vpHZ6Q/nVNS51su3vy9E2HQef U2Gxa0TYB8VulIwCpEPpSVWFjG0Bpi1xEfun3j+9/ykh9re3L/4bv/f3vX3l Jz729vYrv/D4+NgPfuj3f/E3/4GP/cE/9Fvyj5Tdg9hHb98jeGJP1Q3UTm8o v7r6pU63/W3ZTdNh8CnlFptEiPw1Ns2R5SuTa/WqIBNGxqbQsS3AtCHOYv/i l95d7C99EX0b/7t++O3t3/zDb5/+t/7tx8fHfvDvvL39is9dPmY2+0jZw4i9 +IWfx6ZwysLoDeVXV73UeV5vV3bPdBZ8SLnFQ8PP/R6apsjSFbkdLM1aVuPY jyWgeR2WXeEs9i9fLvaXr2I//3brcBHvH/naz51On397+3f/6Ld+9x/7kcfH x37wx9+p7td+xZ/4k38q+0jZRX7P9oEhLnbiIX6977L9eDQ+1uD8wIIalEXs XqjeLB2twxlYfGq43yPTDFm2PLVN31VNb93qhuyLAIdlTxBv0L03nP8W5p14 //QPfNNnvv/fe//d9g/+mc//2bfHx8fePpni49/9iU9lHykrG26IxcVeqP20 lNgzhhpP3JTe8bCs1mcoMCz26kpqdL40JkHDQ5YdAYj9Jt4f/d4/9+kf+6Vn sf/7f/57f/zt8fGxZ7H/B1/945/+D//AV2YfKbsolhf7KB4v8pq94l6oriwV rcGrR7nY3mlcGp/lAou5WqfxRpWBxdMAh2U/4GJ/++wf+49+4j8+i/1Hfug/ Oe/dPz72LPb/9D/7vf/5B9+Uf6TsUcQuXrO/0/bFUnxP3/rd+IlP8F6ojiwR rcBr20xkvOn+CEvDs1RgwekHCqIMZT5jGnJfBDgsuwERe4ZPf/vvXFjKNlqK fbLdJD2Wr9uh1oesgMiFDPniwSd0L1Q/lobm55UtHi4+SlQanWXii4o6mKZI TN2ohQY4LHvBh9n7alDs3/8X/uKPrK1tgUXEfvt12fx1O9P6kBWQuSwv9YoR rqWramygdU7DSUiJkmUcEyvKyLlJEN9iE7ejWTiHCLuNcCX4Yf4tLRL7H/2h v7S2tCWWEfsAxX59picDAwtqKG+YcsUI2VH1YSlobl5VJcGrugKuQbKOZ2JZ FTk1BOxd7sF2VAtnwXPtBDd6H/5kBvht/B7gFDtqEbqkj/PX6sYlAAtqEDdM vRZWO8KBxdPEvCSnYJByRVxi0mBQlE1siGqd+Ist3I9m4Tx4rn3gxg6Ifdmf l9diQbGP6L35PFUZMrBcyiLnpJwJc9HNdhivhwswKJyUkDQWVKUTG5IcTnCi dXOxmfBce8CdHBK7+NnU9vD+nB32iFzyx2kp4wqABTWAG2ZdC8WstdpE62Rg AgopJSSNzfLwRVYBDIsCxIAksCHVwrnwXDvAnZtL7Nt8557CKXbcI/IpHkut F7mGVmKvvhZqqzyr1U9qIVPFE4zElLPI8vBFmt8eEGJV7lgTsCycDc+1Pe7U utivj4XWi1xDM7FXXgu1U57TameMa73iqb2cRZaGL4ZarYM4mAZ2pFo4H55r a0zMWoq9+BfeZvuFxc6aBE7ysZGsndirroWzU38pYMFzsEbj9U9DszR8Ua91 GYnz4JY0C2fkGMRS8I3imcWuOsnH5gCzbZZLWQBm+iHxXrz5rGZyCxmYMRqv fxqapeGLIUsQRBEbmINu4Zwck1gMnkmExP5TP/Yn/jLX40/9WCli5r2U2H2j l2fvHF+2zXKhBUtlnBHvxZvN6qWwsIkZo3G6s8fKYsgzxFDEhiahWjgpe3LL wTGJiNj/i5/+uCL2d9aNxe4cfGrWXMnMwIIaBiOXfka0FW8uq5XSQkfmJaB6 pwtqQIvaV8Go/EuqfXIJiP2z/+UPv3v8/tsHf+VrPvfN/9Wf+Yuf+Ksffyfc r/6aj37txy7W6fF//d/89J//b//a29X79vlVZ/x3X/fRb/7vTz8z+Z0/36qd 2L1jT+2aL5kZWFBDE7VbxGgmq5PAzIzRuJzTVWaxFpK/E6h+U7UrERvAmMMY Evtf/xvX5+oPvu9/+Mo/+dG/+td+xw/9kXeLb/jGr/9Vn/jkxXp//IN/81f/ 7N/6m9dn9vvnV53x+Z/75M//j2ex3/zOn2/VTOzuocuL4Jxdts1y5YvByqad EeHmzRMvzWfmG43umy4zk3MRRx4en8ezqH1y8Iv9f/rdn7mJ/X9+e/vG7/1f 3t7+1+88P7O/2/nmX3Ox3h7//OlH397+t9PfvnjfPr/qjB9/p/O3//3yzH6N OX++VSux+0cuL4JzdNk2yzUUwVY65YwwMW+WisJsYvZoeGjpIh97F3EU4RUT oRZlFOvDIjPZ/WL/ff/H7VX4+SX3H/rcuwd/5yPvFuc/ZP+qX3ex3h5/xw+8 +98fPP3dq/f186vO+I7z9+w/ehb7Leby+VYxsbNbRbrjrvKxnnKoFLtyEsKA 43yd0gOmZRWLBRFJY4WHfOxdxFGGz5qJO2IDGGQms1/sP/d/vr39PSn2b7s+ S5+tt8c/f/r112f2v3d9g+78+VX5M/stJvBG3SR2eK1Yc8r9k4+NpLViV06i 3Nd5oyQ0t1k0olidgxIM7PKxd8FgtRpwjViMaawL59G4xf73/69335x/6a/8 /VLs3/4dn/nsRz95sd4ev/313/S3f/Zvfd3V+/75VX/n/357+3/ur9lvfnVi F9eKdo6ROmkBZGRgQQ0FIT1jhdgpV6sJZHESIKEgXGk2c3Au4iXlXs1c9H4M fmtBJ3M3usX+jed/K+Jj/+AH3i/E/p2f/67f9i1X6+3x2//7c//fT//hn7l6 3z+/6iz2n/3CR//BZ09fP/nVil1v7mEaIVKvIkK5OMMMsQ8sZbGLeXBSlKrV A7I4CdBYM3+6n/k4Fz6+rKLJL27xzGM1qGTuNrfY//+vhiq8CZZYJf7hN7gF rond1TW4C/C6aX4iM1hQgyClZQyLnTK1WkAWN4Pqu+2bGF94yeKKIoinc1vm TqQpVDI3k1vsP/X7NbETa45/9Dc+86d++5eXFXvasnYZ5GN+aQYZAuKRl3EU xRbmwThRolYHyOJmoAQb8E2ML9xcYUUZxhO6LXNH0hQamZsl8HN2TewufOsP f8M//iW/sKjYs4a1uyAf0zuT5wYLarCOotjBPAgnytNqAFkCFJRgHb6J8YWf KaoIAnlKt8UxrqWgTIROC4q9So+Lwin2vF1tSl4/kRwsqME6imJDOVoRS2la /CG5AAUtWoVvYnwRIKqH10yIWRzzWgwB+jfTU4m9aJbNqPi+hfrB7GCBinJy Y7klPShoq1oV0wK9bApBGBMzFxGamRMPbmAx57UgAvSvpmcSe9kqGZF4leIb Zb6dLoBBU3u5I8+KQctVpKDVATHsZ5MIIYumo1QWcZIVs4hbTCoCp/IhuIzZ it7WAP2L6YnELhrFs64Ue7GdLnJ/fd5jU7GzEcji3EI9bRYB5MF0lMoiQnHP ak8u3Cn5J0my25itlOsaoH82PY/YeZsFhNjzDHr2Efjmcfq8x5Zit0h6LEqr Ng03ilg6SmURYViIXaZoaXGwSZDI9foQaDlbqc9NAfrvTHPfjV8Jtth5kwJE 64OSQMwwXRVx1knQtXlReCZXYd90llB7GVmzCPCbomom0mqKBI8bd7984Dpm K/TcVEWSiD2f2wHEHj4H5M0zyPTpsoyjZLCjjGPw0A9eAAhaPpqI1c9WzoVJ D82qZibt5oggxf54gP2gvYpkS7GbP3Ov+Igan9hJg0rf3N2XXt4oR10tyTBX 7LxZZQzMzIobqbwFsqVzoXHjw6qZSo3FjUm4JyB75EfsNSSfQuywPXj2hdXe SzMxX6W2XqBYjxY0qvyIuUXWNA1qMgwQkW04F4yZMayaudRYvEBP5yeg5myn kdojYp/9gZMLiR01x08/taM8ND31pWaraLEGnFkHvF9KX1qsKcFILR2CkiS2 0Ehrw6qZTI3FiVTs2Wah5nyjjdoDYp//gZPLiB20Zpz/EBE7Hly6x+2jcsfl mrBG/GnDJXvF4pgSgtdP8862nAuDNe+jZjY1Fh/Sd93y3VzNxbqJ2gNir/vA yTNmfNKkInZ2uMp9KF3QiHwDTTcVh3zfIEFpm/QZyxqt+9UeAUoRW4TLz5qO w1KHs2hvP08rt7Md6MC4OEkGxF71gZMXzPikSSp20YnrOAofNCHfmae7mscq YqcsFYtrShgmTzNjtulchKt7pjDLUoXkZ2hgP19LB8bFR9Iv9roPnDxjzidN MrGLRpyHkTuhAUVOnOd6BCsFirVKXIs0WCKLb0oEJlErX7brXISLu+Ywy1KD k1Ptwt5A7X6xV37g5Nu8T5okYhd9uI9CuUdiD2TPLTyXko+uDeY00mIZ1npr tZNw3guZV6y2bxKzLBU46WrPViiUcfGQ9Iu9+gMnZ33SJBa7aCNwEPweiT1z kDyXko+undRFpMWSUnOVgjDjtVzFvnMRLu2cxSxLHCen2oHYZ6vdLfbKD5yc +0mTUOyii9Ax0HvEclm3gHjJfVzAz51E+lhCk6cWhCMDzVQYnItwZe80ZlnC eIhYVzsS+1y1u8Ve+YGTcz9pEol9IibaW0Ts5h1gZMQ+LuDnTiJx/RZTWgRl Bd4LZOLgrsdRQhFLNRK5SuVqxgsPJHYxUAq32Od+4GTlJ00CsWsn4L4FKEO5 570BjI3YNwq4iINIWB8E+QuRuCYQ+XkvemPRDnhnNZZa+MR+AsYzjcvzPWVp 1XaLfc4HTs74pEkpdnX+7kuAUpR7uIysz+iIfaOAiziI5L1AWtuKPdILJuJi jyJ5azWWSrjEfntFL7lcv7mvZYnFXkBRoes78hmfNCnErvblvwQoR7nnvTGM j9g3Aj28USSoD0KA0VutIUBy3gvm4aQPQnlrNZY6ALGfSuMpF3vygQu3V/KV LKHY58hyGch/6w12478DKEm5x31GVcN03yjg4Y0iZX3EEli91doB5ea9YB5O +iiW91ZjqYIUe/IUDp/ZE/v0tl0dy4OJ3ejJfwVQlnIP+MD6jJHYNwp4eKNI UgdyctXRgmcBpua9EB5O/iiWN1djqYEQ+0nKP/td+ewb+uk9+iqWBxU7biZw B1Cack/64IkySmLfKOCgDSOxEVJyldHDZwAn5r0QGu4GQDBvrsZSgeIVMtzJ /zCmfFFdz/KYYsddRq4Amku5J3zIPNmMSTxdO2jDSJZGMvKVWRramPgi1sHk Q2N51oAlDKBsJHbw5+6F2BWWdCaHFHuoRdj2gAZW7gkfcubsIpB4unbQhpG5 EXgjWttBHRNfxDqghzWMzFBlCYILO98Cn1RTaL1G7UcUe6hB9SqgYVlr47Zq +0YBB20YmRsZS3+ZhaGOiS9CLaiDMA0RSxBU2MVW9r5c7uBgSXBAsUfao3cB javcw2sxY3oNxL5RwEEbRoKFdit9I1oM+vj4ItKDMQrTELGsDwdLjOOJPdCc chnQtMo9a51zYIfiL+CgDSPBArDxl1kUxvj4ItAEyU2LgrQBy/pwsIQ4nNj9 ram3AQ2r3LPWxuClv5HQQRtG8gWEc0bLgJKJ9uKqwarahohlfThYIhxM7HrL aqf5dUCzwleFr/WxH1/sWpJGELX8vbho01ZMQ8SyPiq4vHM+sNhlw64rfI1A oyr3rLU1dGExEjpow0i+gHDOaI1LLUsFenGxpr2YhoilFvDNeRcquIwHFjtq 13+L+cXwr62RE3p07eGNIvkCwz+lhRFqTItXSNcbIhYDZMCnEoGDqOByXLHD ZvGw0PTQoMo9a20NnPjTtYc3iuQLjVeg2kJAlYK9OChTm2mIWHSQAc8Rew2X o4odt4qHhaaH5lTuWeshycePw1/AwxtF8oXGK1BtGcBC0V4cl57aTUPE4uOY D3iW2Cu4HFTsrFE8LTA8GV1Od+31emK3C9kp5gMXCvcSqBQ3RCweBuWEy9fs sZMIczmm2GmbeFpgeDK8nO7a6xcTO6kT7iVSK26IWBwErAkHTyLK5ZBiD49L zk7GY4/11iuK3a6kv/xtCVgi0osHtCnTELHY9dXWA366P406oti1frT20yiZ AHust9692B1BceAikV5coF2ZhojFLK/3Hhc7CWBxBxS7PgS1/UeUzFC6rL1e U+yRUu6QGpAqoV5cMAourHZn824/K4IEHk/s1gzU9pV7VPqsvV5V7FatcEAd WJVYLy5YJbkhYjGKG927/cwQHHk4sdsjcLUvc5ROa6/XFbteLOheC1ol2IsL 3qKg54BFr2207/azY2Do0cTumYCneZmk9Fp7vbLY1Woh52rwKtFeXDDLmnw8 FrW00b/bzxGEYg8mdt8AHK3LLKXb2uu1xc7LKa6evNUQVRrXpE2YhohFq+ye s+EXqJhuHlTsVcMdhQeJ2WS9uthZPcXRlbYWskrrorQN06BY6sEJRuOUXlPv Y4rd7suakdwqPddeLyx2kMSekhLaHFaXws89LBkbNyiWaigzqOjNwfyQYlfm ow1OhpFEm6yXFDvNo1ikCzI2AyfHHN3D0ovkloqQaij8apqzmR9R7Pp0FKsw kUFvsl5O7GomU8yGuREUZszTPSyrTGapCKmFQq+uOyvbAcVuzoa3Xe6Q0Wyy XkrsZi4d4YAq4CqwsDkllS83mwbFUgeFXW17erbjid0xGsd5Sccyfu31QmJ3 JNMQdK8EqQIrm1PSCXO7aVAsVVDI1fenZTuc2F2Tsc9L+pXha6+XEbuZ0wnH VWpfRdmsYVzEU0sgxAkvQ4+fn4xIdDSxW4Pxnpd0K6PXXi8idjOlE/ZFWqIK 3K2mLBJQSyDEBy9Dl5+bjEh0MLFbc3EfpPQqg9deLyF2M6MT9j1asEplaZFN ZAhYHFk1eBn6/LxkRKKjij1+1vm+dCpj114vIHYzoRP2NVqySmVtkc5KnCbn HStpzYImw9hgLDIi0UHFXnPY2bb0KUPXXrcXu5nPCfsWLVqlsrjIJ3JwS2u1 exmG/WJVu9hByk3WuxW7fYmWrVJZXSQUORRTY7V7Gbo7CXSZ4JhirzrtbFe6 lJFrr5uL3UyXp3RjTmyDKq62DHaaB42f0beXob8TDxmRqIsdjGaTtaMpTy+P hZ1vnHVx46FNqrjaMuipHnblaDOEc72fj4xIdEix1x13tik9ysC1146uPL1M CztdkdOH6sBWVZx9qfx0D5ph/tAMhpFObDIiURc7GM3Wa7sh3su0cOTLc7pQ GdawirMvlaHhQVPMnZrFMNSJSUYk6mIHo9liHWuI9zItPAnH4LWti4pCr+Ls S6VoedAclQNgDJf9RyJEoiOK3XvcI+odLcqsG6yD7fBe7gtPwjKrhZqYOIwq LfoyPWiSuhEQhvP++af4pLrYwWg2WAe74b3cF46EMq1zvBUhFRBVYrVIuJyY WoWX16J9nGeL3SAjEnWxg9FssA42w3u5L+yEKG/4q07oPEIoq0SrsXgxMb0M r6+GuyDEHs6gkhEjeW2xj3g0G6zn91IszIRa4kDA2lp3l6MJyokZdTgBPd6D uVrXyYiRvLjYRziaDdY1reS9FAsrIc4c9Y+cRghllXg9nsEn9oEmcpVYCwoZ MZJXFbs8yjJu3XVFJwuIPegeOowQyioVBZUUg+0BxgwoWBnWACcjRvLyYpcz mjn2ObGRRsb2Yo95u2PiqJ9UJIfmkZXiHMwUK4CSESN5WbEvcGBz0oX7GMuv W8WiYkg1E2k+RHdFf18sR6CW27AFGBkxktcVu3ZgINaxTrLF491tDGI7W94X 8SEp86CoCJmLcF80R6SY27AFvGSOKHbvecORWDPy3qX1QE6WNDYtotlZPQ0V IbNROTaQI1TNbdgCmIx4f/+VxX7ZET/r3BTeLsAXrXIRHBKrp6EiZD6cfamk ArRpvpqBLQZE5nKhMq+XFvuwN60DsZNTpY1Ni9iQWD0NFSEN4OxLZRXhTRPW jGwxADKXC5U5HVLsvgPH8yj27vqCg1sbQuz0THljj4WrpJpYR0VIC3iHaeeI FnQbtoAk08Ve7k76QnNbG4XY+YkqjT0WrpJqYhUVIU3gHaadI1zRbdgCgsyz iN1z4mQaxeZDX2BsayMXOz9PrbFk4aioJ2b1dZYLwz9OTi9InWaLcanBjMHI 14Vd7DKg8lzmIzsbfppqY8nCUVFPrF+md3y3eE4LTZQ05WkX1pxLpgLVk3ka sdtTdp5w8okBa54gRno2/Cz1xtKFWdBIrN6ly22yYhZAeKo8R0XR2WziqB3N 84jdmjIdRbF5flVThsw7mxlQxXN3MhoDCworMayfsK36O625iI+V56ioOp9O A/6u2TyR2PUp80kUm5f7WljmH08lNLHffazGci+1nJkYEkjYHkTsI09SUbYB n/n8PcN5JrFrU3Yew7BHsVtO7ITRIjCk0D26sT2K2EeepKJuC0Jz+Xum81Ri 51P2nsLw/GLn6XKz9xq9m9h9IxP7erL3DjPz5VkqCjdpY/mST/Ojt2IW6Bp3 sTuGxJOyKskFwg+XhneYuTNPU1G5RRvLl3wyscOTV43C9fnFrg2J52RV8Pfu J3mxFoN3mIU3z1NRukEby5d8OrGLs1dM8D68gtjpkHhKgBtD/L37imr3DrN0 54kqas9vY/mSTyh2ZR6e+/AaYsdD4hnZlAutn7ZQu3eYwp9nqig+u43lSz6n 2NkF99yHlxE7C3NfohFoPblLa34nHwOfnDLTeLLFUF1SnEcXu4w345bCqmLn +Zj/Scp7yJdd7UugtqS4Ol3sMt6MWwprip2nAyj+6j7ZLJ2az8TFz9mrTFZR pnmHdseVwxCZu9hl/KyjmoMVxY6zkYrkMzZydZ+WEXsTufNcFVUWaNHquG4W Im8Xu4yfdVBzsJ7YSTJSkYh9FI+X0HpXex3LFxO7B/sTexhjSj9bWCHCDdNC Yj/dCN8FvqDWu9rrWEqaXewyftFj1FAl9nuwXPhCkCEH+HfEM42PC2u9q33w nqzOsotdxi97jApOFZ8GMQWLhRmiJMuQ2q5vyuWv2xfXelf7UKN2kbOLXcYv e4oKKsQ+xYqFGaJly5DaBij26Zk+St+Cr6O5uVpWmQubZTzVHV3sMh5f+RUQ /zZ+ChULM0RNlyG13adWiN1VuQYtM/Ncy/GPw2YZznTHM4sdX938au5P7JYT vRjQgw7Fdz0S1/Rx/sYc5tYILXPzXEt2EIXNMproji52GW/GLYWo2LM95KBc AN/1SFyzx+gHcQsppWV2nmvZHmKwWQbz3NHFLuPNuKUQFHu2Beza+TuvR+Kb P0ZiVyvXw9fZ3Fwtq8yFzTKW5o6DiR3fxloMRxS7hH4/fLdI6zy1TY/XemJ3 sG6Ta/E2ArBZhrLc0cU+HF3s+u3w3SG189T2eCy07rqAVWhZgedavg8/bJaR JHd0sQ8HF7vvbogQh1vuLh/baVthb//+5vKwT9QxtRJd7MOxxZ4RNo8belkl U6dQ3lbYWnmbwDwtc2zigLrYh0OLPeNrnjb0MiumXqHErbC17jaBfV7W2MQB dbEPRxZ7Rtc8bOhlF0zdQpkbYWvZbQN+roNz4OKADib20CXx3OLjiZ126Ws/ PqUx9QulboStZbcN5r9LJw6oi304ttjZPskTH1IX+zYYZqtdHNAzi913kYad iT2GKdZt0NwwrdRTm1CUuxf3y9+0EM21eDsmJrErXDwkxQF1sQ9HFvsU6jao bphWarP92sPxTFcBmmvxfiw8xK5wcZAUB3QwsTc/g72JPdbdFOk26G6YVmqz /drD80xXAZpr8YYMJGJXuMRIXlwPKPZvzkbTAAAgAElEQVSmp3BosU+BbgN2 MzpPbbZfe7ie6SpAcy3ekY5U7AqXEMmL5zHF3u4Y9ib2CPcpzm2wvDCt1Gb7 tQcSuw1HYuratqUo6UzsCpcIyYvjUcVe9euCYLT7E7vlJGnSvn3TMSeW2my/ 9lhM7AP1bdpTlHQudoVLgOTF77hit1v0jPa4Yhcb/ssB8/HOU5vt1x7LiX2g zoFCLVH2m3Px08eeBxa72aJntIcVe7m2r4aaznaRj9VUDbGg2AfqHajUEGW/ BRc/feh4ZLFbLXqmi34HufKg5qP2D2Fg075p+H3kY4tKKywp9oG6B0q1Q9mv RVKxAL9Di91o0TPdo4ud9uwbhtOp/OUuH5dWWFTsA/UP1GqGst+CS4Q+cDu2 2PUWPdM9uNhpy75ZOL3Er3L6srXCsmIfaECgWCuU/RZcQvSl18HFrrbome6x xU479o3CObEnF/tAIwLVGqHst6ASoy+cuthlptqTmo2o2GnDboMPQux1aWqx tNiHipAIoqSDYnfRvzgcXexah57pTmKvO5y2CIqd9us2eLGp1pcX+1ATE8/u JR0Vu4f+xf7SYh9uP3qrP5y2qPwnm0vabkMIDVJUYoWvME0m1AphsTvoX8yH F7vVoKEbcInMsMUwS+zUwYz0oUWOOqzx7USbGbVBXOw2/Yv1mcXuGywd3Pqo +/fZC9ZuQ1WBmUmqsMprh0ZTaoEKsZv0L8Yudja2DTBD7FMOt6GuwtwsNVjn jYJWc5qPGrFb9C+244tdm4BnsGRoW6Dm32cvWLsNlSVmp6nASu8KNpvUXFSJ 3aB/MXWx45FtgmqxTxnchtpOq+jNxFo/AtiyxxR1YtfpXyxd7HBg26D22/gp AbXwkCCq+M3Eaj/v27LJBJViV+lfDM8sds/NxX9wsBEq343nJtMQBh32gljv h/tbdvlArdg1+pf9LvaA/9KoE7ttiU/GX30FrPibPFu2OQH066OlnNJlu4vd 6bsG2v4jEYNpqIBx3dyIVFvz1/Za91kD2a+XlXJM590nEHs9hmFkf9SxCSr/ ffYr6MnzK9GiSiUi1Vb9Hd3WjVagXuzDSD3Pm13sbVPOwhyx03MPXIgVEWlq 3V/I3346ot8AJfU+dLG3TTkLM8ROTz1wHdZEpKuV//pm8/mU/YYIaTeii71t ylmoFzs988BlWBWRttb+U7utJ1T0G6Sj3Iku9rYpZ6Fa7PTEA1dhXUT6Wv3v ajeeUd5vmAw/4i72tilnoVbs9LwDF2FlRBpbXex8fqsg67eCCj3kw4vd0zS/ S9uKXZ6yg3XgtP3XYHVEBpRc/hnDraI3K0mZzEs6FXsVETaDLvbAUbQEItxI 7NQzkGNpRIa0gdj5DGfk8pIG/dZWzLePLva557A/sc8GraDUXr3tiHed2Kto OaYYR5TMtV+dnrdkttvFHj2KNoBsmoidVuC1N+g84ruC2CPve1SfiBdC7HNq ppsHF/vsc9hG7IRNC7HTErz4Fr1HfFcROx9LsyPxooXYIftji33+MWwidkan gdhpCV58k+YjvuuInQ+m1Zl4UYp9VtV069Bin3sKwzZip3Tmi52W4MW36T7i u5LY+WgaHYoXhdjnlU13jiz22UPe5tt4Tnj2u/HUh0cv0KCHf8R3LbFHxhZB lEYu9pll050Di33+kDcRu0J4rtipCw/2pG2FtFBkVov/6G3h8URJN/olIkn8 uGJvMOQtxK4Rnil26sFjXbRaIa0UGdbyP2dfdkBR0l3shdjnTvWWZHWxq4xd ZIzD3a/Wh7RUZFor/LrsXkZ0QRd7JnaluQi2FntpnCV2aueRZs62SGtFprXG 78bvZkhDF3sqdrW3ENYXu854jtipmQdaKVsjLRYZ1yp/CLOfMXWx38RutRbD tmKX1hlip1YeZ2Rsj7RaZFzr/NXbfgbVxW6I3Xd5xF1aWewG43qxUyMPU/Mt grReZF4r/YmrPSppWQRd7LrYfXdH3qXtxI7M1WKnNh6lpVsIacHIvNb6e3Z7 WNKyBLrYVbHjw3Dcpc3EDrbqf/RGTTxIyTYH6hVNK0bmtZbYHeOSlgXQxa6J nRyF4y5tLvaMcKXYqYXH8GSzoN/RtGRkXquJ3TEwaWmPLnZF7DMOYiuxY8Z1 J0y753OhhsrSt9/wLFFUSVeRea0ndsfIpKU5uti52Occw8ZiL9hUnTBtn8+F GmprY63fZ5t7F+Qc81pR7I6hSUtrdLFTsc86g23FXrKpOWGZ2zIM1FBbnGn9 gGJ3jE1aGqOLnYl91gms/SeuykGcUXHCMrVlGKghjnuqJxK7Y3DS0hZd7Pff oIMd1c7/8GKXmasNNSjae+j7qK/ZM2oBS1N0sWOxq9N33KUdit2dY1hA64bZ mPAk8EzrY+4NI9VeVxa7MoTgeCrRxY7E7r25/C4dW+xor9IA5oWHqkXcFZ5r fcy9YaTa69piV6YUGU41uthvYpfd8Mk77tKhxQ62ag24LpkrjblK/FRofcy9 nWeT+CaX3xfmI+/pK2BxZHOS7mKXb9Apc3eP9oBiV7Jag6EGWhXcISXqonGh 9TH3jpzQfSxri33gWSryR0l3sQuxO87DHu0ziJ227zYoRYErDyvfhi9ypKtI a3ViD4EPxD+qZjy62EuxtziNpxA7bd9taHaBsdbHvEqk4n0si4u95keXi7Ho Ymdin3MWzyB22j4dDLsW84G1PuZlQiVvY1lB7HSQy42LkehiL8ROjyI22sOL nbZPB8NuRQNgrY95nVjN61jWEDsbpZzXgiyGot85kPQPLvZ553B8sdP22dlz QwNgrY95oWDRYbt/JALvLkrjdg262C//Nw4im5pjtAcUu32+2IkZWvaHpI7F 7sAUvT+xL8bjkryL3SX2fGiO0T6X2FUfZmndI2ds8sfM1vtHIpwTiyJKuovd I/b4Qe9Q7MnS3YanfWKaxTvWtUJObWj5n7PjmHgePbuXdBe7Q+wV57xnsUcP 3Gif2GbxTn1OBWS0xk7j3Ojy24UKcnG+bdDFbovduOx4IPsVe/TArfaxMUgc tnFGKfVU7joDu6kVxD6UXB97y9ZF6GI3xW5ddjyPpxG72T62BonDNsaKj6WK tLWG2KdWxNbCdQG62C2xm5cdz2PfYkfQTlZrH5uDxGEbNR9e4ca4ktiHstUu 9q1git2+7HggxxM7vAWO9qE9yhy2kf98/fa4ldiHtcQ+zaLYWLyuQBe7LnZ4 2R03eIdiv/tGxC4LeM7eM6IiMWwjFfbjcSuxD2uJfRpGvl6+bokudlXs+LI7 bvBziF3md529Z0RFZthGoutE983Evt6HV+jNroYudpfYi6V9g3cu9iL8BPZg et/ZByY14iSC6il/mLs7SEJ0sVdBXoqnEHt+SO4LPB5M7LO0jktGmcM2is+e E/z1pm2sJvZ7P9lqjbo52op9fOw8k9iLJj03+Ehin6d1XDLKnPG+Xs7sksoL 66IJsJ7YB0ezy6NVv+JiPJHYixZdN3jHYpd/VTJL67hklDkp5Xt7QeGpdtHF Xgcx1C72gP9sYPrJKcf4w9T60bP74EzParneSmTBVidd7JUoR9rFHvCfDUw/ OeUYf5TZOHl2HZz58yTFN+1E69MjzNRupou9FsVEn1XsWav8Bu9d7KV+QFDs 4Ol18BHPVuIlOtN69idrrvrFWF5b7M4zUr9puqw+zMt0sS8KTD855Zw1eroE J+oDLhkknq18GlTFbk9q6GJ3nhGkmtk+HBJJvdfFviww/eSUM9ZI6/WXHpcM Es9W88XuGVUXu/OMMNXU+Mxid2CHYi/OvJnayVxm8E7YKKQUsftqLv9JNSUj tJiBKOmmYh8Saxd74ChmA9OfAP4QJl/sVewaKy52b9Eu9lktP8yvLfbd/4lr +vj+ayu+1kCveC4R2nmSiaHKiordXbZO7P6m2JAUv/AII6Qai/0R38U+83hC wPQnsA+vOPlkZfWK5xKhnSc5ttiV97OMicUHGKPUWuxTgtcW+8bfxpcsidiT w19A7AOmilhrYqfvLjCx+8e1lNjBMLJ95hQcX5hRc7HfMzyz2B3D2VjsxfHg 342/nv1j07p96oErV8EkXSYxxX7KvAoG/nEtJnY5jWyb+ISGV0OovdhvKbrY 3aNsAHmA2ZHIv2cfc60vI/appMG5TDJL7IF5LSd2MQ5A0TPVtnyaiL3gfbF3 sbtH2QDgANMTEX8IAxGuZV9dd5ps7wnEXs4DUMQTi3QRpdNG7ODkutjdo2wA dE2SPdcv1VRVs66uM0eeJNNz4fi4r1uJnXRallf6s/P4ikVJNxK7bK2L3T3K BoBX4HGsrl+XrSw3gC37QmK3iS4Ve3JdsdgjHSwh9gH7ZVtmHmetKOlWYi9o jWMXu3uULSDvQHqu4g9h5mk9P2ywZV1J5jTRZWJPb2tTsTcE7DLbcU+sMbNm Yi+IjV3s7lG2QD788SbnxylHjjZYDhAooHFFSbJv1XO/rKl9in3Ii4D+jImp g5qDdmIvqHWxu0fZBNnwx/sv9UynHDnaYDlQXwLzJEl8Gtyt2FGz2VqfmDWq ejQUe06ui909yjbIpj/9Bt/9lDPWGbXpu3jfhZHlQPk4siRHF/uQlykp6hPD B9oELcWe7XWxu0fZCNm5TvVvp5yyzl6hP16zO2+MKAeqx5ElSd+FQ87au/GR YS0m9iGvMwTEjo+zDZqKPd3sYnePshWKg0128W/Q3Rc3tXuvTFkOFI8jS6K8 Zk829yz2IS/kFzs+zEZoK/Zk95nFPtiHsoXYMy4PSQ/8D2Gy31pRbknRW15O nUMsZ8qqpDrhdASxD3mlvD8+MXiUzdBY7I/tFxE7Gevaf/UG2KRqV//qLXvg Ql5Nlq5AluQZxD5klfL+6MTgQbZDa7FP+88tdnYojzlsIvYRs2FiP+UPHdfF HFItsiRzxD417ZjTomIfslKuiZFjbIbmYr8bXkLsYpyPMWwj9hHTwWJPj76L vT3SUp6JkUNsh/Ziv1leQezlMNMpbCT2ETKCYs9Ovou9PdJSjomRI2yIBcR+ Nb2e2PMhbCV2SAqJPT/45xH74J/RrsRODrAllhD7xfZqYi9nsJnYM1Y3XtkP 1q4HXpz7fsUuaD2n2MnxNcUiYj8bX0vscj6nfSEhe14KGRXLvClxa8yrSyK4 X2Z8kCtpDvArQZHZfXdvozGoV4NeGDAJaz5NcCrGaQ4KkULWLvZdQVzxUy6i cl12NAAjWkCouVCSBxncTeFVpCU3VhK4j0bjPgP0wsgxqLNphvLYzUEhVsj6 6mLfFPkZF7tI66XYjZzZDiqp3w7gTJNwrfNg73Smr4OjFaKTVxsHFEWeeG5P n4J0F/viYi8nZa8fcXX2EjkTpvWT8KeN8CHR2spQ9CS21mWwchqp30PsEbBO VVrqxOKpHW0C0l3sC4s9eH4we9ROAsiRD06ti2+UPWy8c4EFrgCvSIocMiUt m3ntROzOzFGeknQX+yuIfUjZVGu9VJeDjSMXTKLEUTo+tYu+Nxe7L3GUJSLd xb6s2HNb6bvKOtu8nXlxk5xat+dSwJMLJlEDZQaQ0lP0dvl9xXAKDal7Fprn ceUNcsSku9hfQ+wD2Kq5VdaQ4rlgEiOyTKCkpBWHx+X3VSNJrFFaE3OljTFk pLvYrzzHvBdrUc5AG1M5tLXXkUvFGwEl0JDiuWASM7SIRylFFkFwuvy+ciyN PkvQH1joWUP8OOku9pvYlYOwzk4b27AbsQ/ZLvmBFu0jz5llB6W8V6l0jsTm NdFenkgSHEJ9a4kwUvcslC+0RLNQ9BvMq5PpYn+MqRza2mtJkvyuiu/49SHF rmjpHIkdyR1kROR+evl9BVkijNQ9C+ULJQ9wipLuYr+LPXQq5Qy0MZVDW3sN WEKte1+8qkMK3qTCO3gNcUHCRGwfRey8cJR0F/sk9jFwKuUMtDGVQ1t7LQ8K a/3oYh/INiO4kz+EoezyNIEvMhRd7IuKvbCVvqusxUnRK866EE1l2XEpdy6Y JBZcRsFt0O8hxM6arUAX+5JiL22brDOM93+yGV0G0oXsKsuOS7lzwSSxYBGG dkG/RxA77bUCXewPsY/+UylnoA1p63WO6aOkoc2F/Yp9gCbmfASx81Yr0KRf dAxd7LnvY2PtdXlYN7FLI24C9ZVlh6X8uWCSUCysK/aA8/7FrnRagS72VxP7 cBd7PYYsOyzlzwWThGJx4XKLTGLXYtcarUAX+3Jil7ZN1iVOs9U+ZNlhKX8u mCQUSyoXO2wSOxa72mcFuthfU+wAsAfcGOjPvBIsF0wSiiWlyw02CZylAdKy vFneit5mBbrYX07s89U+gP7MK8FywSSh2BKllbrvW+xGlxXoYn89sTO1wyZg Y6A/80qwXDBJKFagtDL/XYvdarICLfqFx9DFDmybrAFeVOxlwJ7FbvVYgy72 VxS7+xwxhiw7LOXPBZNEw1FxxCb327HY1f5q0aBffAZd7MC2yXrWQUIMWXZY yp8LJnGHy8qQEXber9h5b3Mwv19yAF3swLbJeuZRosay7LiUOxdM4owukpBk WcJ0c7diZ43NxNx+6fgPKPakoaw7sCjPQruC5dba69mHKRvLsuNS7lwwiTNa pOGMkOtexY67mg+rXzJOYRbD72IHtk3WfqAuYGNZdlzKnQsmcUbLPJwRcN2p 2GFPLaD2qw0Uuzxcu9iBbZN1AKgN1FeWnZTy5oJJXME4E2UkXZPLX1nJMU1A iS9SKt4CftKK2H19stzHE3vkVMpx0PkOXexGLpjEFUxS2YzuG7sUe6BOlDQV u7dT5nY4sZsHQc+OTAHYNllHgPoAbWXZWSlnLj1JIKGdrIwI/nqBqGMgdc9C +cKt9SrSTOz+VolXFzuwbbKOAPUB2sqys1LOXHqSSD47WRGwQ7H7qkQp62IP 9EqcjiZ2dEJ8UY5CG1S5tfY6BNSI7CrLTkv5chlJ/NnKidtJdix2R+I4aSz2 ULPY52BihyfEF+UktDmVW2uvY0CdkApoSOFcZhJnsjRcSZb570/srhpRwlNC KPZYt9ilix3YNlkHgVrBBdCQorkGO4kjlZ9Rlme3YnekrSGNxB5tF3p0sQPb Jmvfsbr8cjsakn01IDc1iYO9n1GaaK9id2StIg3EHu4XOnSxA9sma9+5ehxz K5xYCU89M4lJvshqJbtjfz96syukNKKkW4gdRHSxH1jszFNcNjwL625Adz1J F3ue8+YTJS3FXtEwsnex41P3rPEJc7sv4bwTHQtDlL1SrDIJ78JKdsf+fl3W PYYqQl3sXewwOzYjd5MdyRVpUede5rYZXXE4sasjtCH6jQyVx3SxH13sA7pa 0NtkRyP9SXTuZRsuRsPxxG4N0UIXexe7lV1miLHzp7YrWwgxOpjYQ2eF0MXe xW5lFwmC7Dwwkujcyza8jI4l9sBJEZT9xqbKgoYu9ucTO3P1xjuS27UthBgd Suz+g6JYROznvS720upflzBP2ZXQf55KDeDpjPdkt4tbCDHaVuy36jfL6fT4 FR/J7WGdQ2gJsV/2uthLq39dwrL7EvrPk5dAjr54V3q7uoUQoy3FfkrVnSyv /8DuY5kQnU12AbFf9w4q9rw7uihnoE8oui5h2X0J/edJKyA/X7wFI4nOvWzD y2hDsT/ke1F7vsw+139Itb43sd/2jin2ogm6KGegTyi6LmHZfQn958kKIDdf vAkjic69bMPLaDuxp2ou1D4W1lztswg1F/t975BiL7ugi3IG+oSi6xKW3ZfQ f54kP/LyxdvwjcCEL9kdm4n9Ufgu9uRhYT09vu2fS6i12Ke9I4pddJEfkXKd 9AlF1yUsuy+h/zxxeuTkCvfANwITvmR3bCv2icLNkov9wXCYNucSaiz2x94B xS67yI9IuU76hKLrEmDkyMFI6D9PFhiwROEcgQVfsjs2Ffs4UbhZMrEnDMdy sxptxZ7sHU/soIv8iJTrpE8oui4AZw48jIT+8/SWdwR7Xc08Ovs8uZfUjsWe PLOP0+ZcQqJf11CLSaLNw4kdtUavUOmpjyi6zsGmzniyhIEDhWEBi17Z04GV Q23Cx2rfYs9f0next8AkdtgZvUKlqz4i3zqfKcxNPMwClKM3NXIwQ3lduwNX GpbWRWvY8O/ZXWI/pXsDEnuUdEuxZ1sHE7vWmHV2ZGokjVzj2ig3dlhS7Nxu klKrWh24E6GkHl5n7Fzsp5vjxbyI2H0ZeFf3nYOKXWmMnh0ZGp9PvqZjddrN AgpHNzgrxskoanQQSSVSepu6Xn6vt6cy7Snz84r9dBf7IMRexXAZsb9bHVPs ynHxsyND4/PJ13SsTrtZQOHoBSfFKJk19Q6CyfJgb1fNxG6/D5F5ed6NTxQ/ 3h3DDRb8wHsU4dbE5nl1SLFrx8XPjsyMpBFrOlen3SygwnHai2hde8E0N52r p7Gp2BH11JA5uX709hD75Bjtr6TXxZ6InVwu6+zIzPCpyzWdq9NuFrgBvOib fPU7zykxQoK5ldaTzv2NglF3QkuxA+7pfubj+zn79Mp9cgy2J9gBsdvJlKam 9YHEPgxXsbOrZZ0dGZkxoBHElgxcdrPAFeCgJ2f90nNGjI8gbiYuNsxQnaMz qKnY2ZhAfz6xj0Ts9eRqntnxmRYbRxL72+kNHFbZLz07MjN86nLNJ+uzmwWu oGIfDLFzQoyO4G2nLtaOWI2jM6qt2MU40t3MA4n9JMWe/pL8Q+wzuEmxV/ZU HtyBxP52Ooud3lXz7MjQ8KnLtTJal90scAUXu27jfLx+HJSxI9YxFgvJ5Z9T jVnSzcwBiP3++vz++BaSf0dfFouSFmIP9yr3L8sjif0daFtjsQPOjkwNn7pc K7MtUyO7XeCKVmI3yZR+GhhjV7CPh4JGYh+IKd3L7FLs99fnFy8h9uTVe1Yq SroUe7xVabgsDyZ2x/nRsyNjw5FyrQ23yAzsjgJX2GI/zQYlzsAYu4K1ibgg SVcC00m3MrPjmT3/w9ZpvPP6Lvp9JPMOF1guywOJ/fwGneP06NkNC4rdmL6r wBXwYifv/rSBOhFlSAXjWHAtmol9gJTSncwKX7M/xD7Kkd4ezew87zdL5pou sl2WRxL72+mNdOU6OzwrYWVrbb7m/D0FrkAX+77TxT4XiFO6kRnhu/GJ2Ac5 0cRa33jWb5nMni20XpYHEvv5DTrcFdiVj8GkoJWtUSwGPUWr4BngYrfT+MuL fQCk0nVmM370NqLPoUrFXssxzYiGqA8WT/6yPJLYz/+3e6ZnN6wkdnaGexR7 tKmC8dyB+NBS7INklS6LZiexDw+x3x9Oyn98Scisj60okn4rZognf1keV+xs DvTshnXEbp4DX5/RxS7QVOyDoJWueLN0wUZSz/DRb0UyMvnL8kBiz9+go3NQ DgJeThwp1yhWTcfOgRc8IyB2tQpj8vJiFwNKF7xZX4g1fRemfiuSsclflkcS e/oGHZ8DP4g1xO44B17wDCL2h+2yMru47Ui/Lvah4JUueLO+kDJ3Fe79VgyQ Tv6yPJDY0zfo+ByyfdiyPhC6RrFKMn4OvOAZc8Web0i/LvbyWyw5L2DgC2CY 2XJ5xu5AZfKX5ZHEfv5/0RXtN10p0wBWtkaxPBc/CLGX+zUSOyPdxX4G7Yk3 Gwm5r/JN9zyu/VaNj1a6LA8pdj6HwgJb1gdC1yjWf4rQB0W1ETsl3cV+Bu2J N1sRku0FxpGLPdLXE71mv79Bx8dWWmDLdPb6GsW6TxH7wDB5rx9X/fHmHK1t kO5iP4P2xJutCEm3ItPITjjSlihXbB9J7Lc36PjYhAW2TIevr1Gs9xSJD4yT iR9Hf6Jq95LuYj+D9sSbrQhJdkLDSA840pUsWOweSOy3N+j42KQFtkynr69R rPMUmY+ymeKEgasbpOlfWfiag8W8wbU4sNir+k+ONxo6PI3Yz/8fQCNll+UW HoTXG8TWjh8bmPcDDrXbpG+GLvZhXbHH2T1OV2Nvmw8vdt4ossCW6VXU1zDE A4syc39oXKi9+IOLsYs9hoxXuqCGmpBhrtg5dXW2yHpZHkjs98+gw01CC2yZ jktfGxOmUKLg/uSfPoeXYk9exxdJKOmboVQOGgmfEVy6oyuRUPYVNKtmHumC GmpChpvYg6THu9gpcatPYLssjyT262fQ4Q5x77BlOix9rc+Xwj4UEiC/Y0/F TrugpG+GLvayjXRBDTUhQ5XYp8/cY7TtToHlsvxweC/BrsV+/Qw6d3tk9sqo 9LU2XQ41Blpu/uD1+SJihzPxjsgRS1r34tG3r5avauaRLqihJmSIi/0C9rLF 36o0XJYf5ndq12J/u38bz8egHSoZl+UNYuU5MPCQxx86wJD0fr+u2JNZdLEH epX7l+WHP5nhEGLnY1APlczL8gaxggAFjTg9/tIBhqTX+/o4feF+2cVdUNI3 g7xJaChkQiVjMxQ370XSfxd7qFmxfVkeSOzsH4kYgi3TOelrZbQUNOAUFnv5 Tf2p0Rt0ZCqkW1hsIpl/NYqPC06iiz0bhq9bsXtZHkns+B+JGFjDg9zXx6Sv +WTPOD1OKDkq4H9CkKxLsZdaKq+/TfpmQDcJjQU3a/UPO6rExKCLPfbtFyEy Hkns+B+JGFi7yKBPSV/zwQ7Zh5Gl1126Q62D19Crih3OBfZq999M7g8KXeye FEqHwwHF/vYGxE6axQZ9RnBAI4gtS9Gna+FOtI7Fnr5BhwDboKRvBqxEMBjY arD/GUgYJOkoT5M5byNdUENNyBAX+yWohdgHSWQ8vNhZr9igjwic1OgSO1Ww dPeKPVE703pLsYPJKFNNmnk0JbssvEJIGXSxVzQsiYxHEvv1DTp0aqJTZtAH BE5q9Ij9cTbTMVGxJyEXMz3YlcVufdeDshfN4pEgq42MAqVcjayNdEENNSHD TexRdLEPtzfoZEfoWmKDZz7lgEYQDA6nfOgUO7jH9yJ3OVOtNxa7cOYuSRN3 seMGU68Icg4vL3ZxihiyxWJ5ILHLN+jovVT6p9PZQuzoGk9VlDPYR9QAACAA SURBVGd2LDDYRJJyqsyVQyeKsi8m9oLFscWerJzoYgev2enNVNqnw8klkWyA 8GIneZadHqbPvKD2xSyeoB0nWyX2tLV5ysmyLyX2cs4HF3sGD7sudil2OkCl e2Xucjtfy8j7slLspdRDYqdve1m97V/s4oCeSeyJjaLsV78RJDciclyx0/ER gzF1sJ+vZeh9mYg2LHZJCTglvubF12eyrdjLKejIcj2N2BMjQxd7KXY6PGIw Zo728w0ZO61ztRc7I6oOtT6CrKXaK8U+Zd1Q7OUMDOS5nkfstty72JnYy0mR kRoDR/vFjgye1kK3pdZFeaj13FVqPQO+J1TsUzctxH5LHxN7OQIDRa5nErsl 9y72QuxsbGSexrTRfrklox8bhXAzIcP6UOsZK0Pr9PLjsTwMTcQ+PijeHgjP UuxlrwaKVF3s0aEhIgcXOz5FYTCmjbbFnoxOduQze+4sCACpgxuenb5P7Xgu QyOxDylVX6arl2xWhczwRGK32HWxQ7GXYyLzNMaNtuWeDA+cQMA1OfDs8J1q Rw2mhkZiPwN+dyLg86KDGJ5N7Da7LnaP2MlAjYGjXbAnwwMnEHB9HHh29if5 p3UDAhpAapirnIRuLuNS0CfkVVXyqcTuYNfF7hA7GagxcLSr7kGxl8+6hfPo 8i0OPD3605CJPfhLNYlhtnKKPpJF2aT0qqvYxe6EaLFYPpHYyTw9Qyk2dUfy ml1V8OjyLQ48OflT8rCl2MFwMNAgUu75FzjxT1ZRVh4cW+xxdqLf+Bk9u9hx z2hQVpQyPXCyZ0j98nfjFd/iwB8HvyuxT0EJ9fzr24jFDvk60MUeP6NBEhmf R+y4ZTgnI8rOVO4g/bKfs2u+4sAZrnZN09TQQOz3qAdzranpIeDkQ0LZzVcv l3mkC2qoCRluYo+S7mI3xI47hmNCZmOvSFXupNq+Pi4VHHC9Yc9iTykqXAuv ary82H0ZQIvF8knErnWsDEXZKjJpYpcCTr+NjbrecRyxc5aplwa99imd2izG cEjpghpqQoa42C+o67doWBIZn0TsWsPKUEAUyTRYYk/PKd+Luk7Q1H4NFhzF YKRhAbHPfWa3anexe6B0ODyl2F2XSDigkEFAZkgPJzmmYi/qCrB3sROb7eXj 0MXugdLh8Exi1/rVpiKiyOTKdMVOJtvyb13HqCsC1jr0N/jvT+x27S52B7QO hycUu/MSGRMBkyvzFTv3o0nPSBH7SXe9+8o/o/NoXfRUGvYmdkftLnYbZKr5 zhOJvWi3aBtNBQ0ETE4kKnbg864idt11mDzRoUp3SJMbVhL74BS7p3YXuwk2 1nznWcU+DpkNj6XYYZMTicodv9gdrsPkh05VEbtxA257a4nd56XmzzK89I/e rN6pa773pGIf0x7pXIodMjmZSOwoAh6jrsPkxoOu3+RblwGZ9yV2NX2eoYud 5+Ge+eZzih08Xcv2yZMsu5syR7LDBTxGXQfmlQacwGt24w7c9hYSOx+hR+zE nOXWfWIAx2gYakKGm9ijoP16z4bYnlPs6HW46F5Vkz5pffaoYMD16quL/ap4 6yog80JiV0aoKFVLXtbpYn/kN06GWp9Z7PrdNcSuBOdlLURdr76GztF1YDTz ITUUe/EmnKJ2GD2oufMyXew5de1cuEMXewuxiw+g43/PDn6iVuRNLFTs4y7E fgcdogpX6kd60y2ArLCYPTLUhAzmmWBY/erJlIKvK3bjNbsSLIZ8Kl+i8rPK LNj3UiL9IvCQ9z7FnmW8LWx5ejInKZ9E7ImNYl6/SsEXFruIAzm16Oxw8oOi h5UZiO+lhBD7TeVbiR02PiT8Eq6nYg9OQjXKoT2N2BMjw6x+tYJd7GMSJnJq 0dnhZOfETwt/XQB/vCwEtAux45wJ17vWTbFrNjS0LnYf1DPrYh+TMJFTi54O 5JQ9OmUPrl7AdXIpXO+Fd/nMXiZN+E2Pyr/uUd9EAiaJ5xL7om9I6mfWxT4m YSKnEp2J9FRsTXvFkzf4upC7onK3/fQJfjuxjzJnpnDx1z3ockMLrdhc7Hn1 dEENfMG9tJ40nPKbEG9M4GZ+YbELFWbCBFNPNgaqVqfYgS4ssYt36K2TRub5 Yh9FzjvxtAFV7BpB0n9LsRfl0wU18AX30nrSUF67cGMSV/vrij0TjdTR+BBX cQo3tQsFZ3fSEDvSRXHEUt+l2q2jRuYGYh9FyXJ6xdzYnfTe1MZiL/tIF9TA F9xLbUpBKfYkn68xgIvDy4o9E424p+dgcWuzDSH2/ErqYs9OE4sdqbvQvnXW yFwr9sy5LBkTu0YPoq3YRRfpKrP4FtxL78rqN9uK9IVxdnlVsefKRs/s4toW G4WCixt5X2RVsq8L2dlO+fMDF/LJKFinjcxzxD7kq2QDk9V4BLTeVuySVbrM TL4F9zLaMvotNp1dcQwvK/br9UniHvO958hEzf7/iC0upCb2tPioPbNTtcPz R8crzLPEPhTLvAem9RHQiGi9qdgBKdkgMPAF97qvo/Sg2LU86vSS8C72W9w0 4KFY38RYrpHYk/krYr+tMi4Tp4Ii+TtXePjgdKV5ntiHYh2KzSIit7Wh2BEn 2RAw8AX3uq7jDJnYyZdcfXhp8GuKPdPbLeg+4WT5cC5/mDwisadnZoh9cIsd qr1sGLeLzDPFPuQbsdihTusNxY4oDelOZvUtuNdQI/ah9pN5TLyy2EXcbcTJ 6uHMxD5tFKczbRQCBa7mt/F8q7wl4nSlea7Yh2wnaaLwx28ma8w4EspuvlBk 2JZuZWbfgnsNN7HHSHexryH2m9qzxd3ZIfYyvyJ2wYW8QWfqH19laL03O1fs Q7qVUiubArGYmVm7ldiJKd3L7L4F9xq62KuwitjHVAe5Xtlr9mmDaB2KXVAB tqRIkTbbkjea4hYwW+woBg7AlcxDoe7ykwFIS7qZOfgW3GuIi/2CLvY1xJ6q /SGrQtzl/0f5vFZ8G3DSXMfcVWbIszaCX2ljMSQU9GB+EjtGLg+DNmI3DNa1 ogvuNWwgdmWkXexjJnbwrlvxmvpxEL4TKcVuucq4RRCQWjEkFJXOBPQSSUUH M1fsbP+5xK4NtYt9zMX+UPtDpNPkH1qZVub08xjbFQQugYjW8iGBsGwkyZ4j k6u2c34+xkOJbD/z8S2417C22PWxdrGLEd21cJl3rlSwuucrcqNnaOCa+xZH DEXa6mtASGzZkEBcNpJyT03kq51PtIox3k0t1rWiC+41bCZ2WLKLfRRfD29i uM47VWqquTHTZno2qcsoxZ4dozTJrxoZ8G4FYmobpUjKaZbNFb3gPM7a2UCr GOPywJJ5+Rbca1hZ7MZou9hHIfbhasy1lRxBthaHkwlTrrNzRDbzROdI/IGg 3Njb/g9K+YNc7DjWXzyh7OaLf37AKZjXii641xAX+zC9TSw/vMgTrIV0sY+G 2HONTztDps2HZFNBpSbgKnwTLy/E5eWHLYYUuUaLiN1de67YeRPCkq18C+41 rCt2a7pd7KMl9rsGc72+cz4VV/uyzESfWryuvnNNDhDCHTCzUN5SCU+sB+Ly x8B7kJZs6Vtwr+Em9ijdLvaFxZ4sC7GPWOxDfiLJHZ/W+T5yTfI3FHsgYF6h e3iN2ANNzhM7bwFYsrVvwb2GdcU+Fmmk+XXFnv0hTLqsEvtDwo9lto1c0/x1 YkdXKeI/p04SrmodxkZ6nCV2zgJZsg3fgnvd1mG+XeyL/olrtnyIPX3mzdeD EPuk4cci2cSuY5K/UuzyKgXdZyGf5yn70aBaM9TiHLE75iQ3QwvuFW6U9OuN w+0l5lcWe6LC8lnp/po8ubmFXYrd8+myueuDy8TJe7DkiM2bMTRFFUN33B0z xM45YEu25Vtwr4pWYb/uQL3uy4o9U/cgxD4UYk/OQBP78NiyxC5eJlSLPXi3 hu0R7e+0LugdW5dGxbz0Ib+u2Mt31MSclTfSk4hbQX5c4vCw65TefbD4jGPe myDen1cezZAxvS82IhGZmD7mFxZ7KcNyzMklE7fuETCUseVxlYdnuboPFp5x 0L0Ss1JU9BfSSAtkVO+LjUhERqbP+ZXFLuNATmWkjxPRjqs4PNPVe66Sj/9W qGK0UZVkDrVW8nEDNboVCf/sutjVsRRxIKc20pPxrfnp4RVwdZ4r4LOu2ENp ZhJbQksaMtb3xUYk/NPrYlfHUsSBnNZIKfLjirg6DxbQqQipQJRfA1Yb6Syj 1cW+Gl5I7BptnU5FSAWC9NYhxVlSix2SrabfrygtRTZSeM4wqqKQ9YXFrn9V dYxUHfzp/vo76qr71tIhMXEE2a3CSWFJLY6QbEkXZTpSesYwqqKQ9XXFbnwP 5Rhp4AQCrk5fwSYSN9Qixi2CakoqTWrxhGRruhD5SPEZ42gT89xih01PBucL JgWBI4icls9X9BOJc7VX3XENahnpNKnFFZJt0IVMSMrXz6NNzNOKfaRNT4bn EHvdZaq8gcvBNW8veFbTMMpNawEyEgLVA2kT88piN16zOxA4gshp+XxFO2uE LQXfvJ3gWU3DCHatBUpJKNSOJB7xWmIfWdP0NPGxaQicQcDV6SvaWSNsIdSM NZp1CGt9yPboAuac31o8zCrVxT52sW+OiqFGs6aZ+TnCfWuBk5KcdfTbhDyx 2D0zKdZyZDoCRxBwdfqSZpYNWwQVM41mTTPzY8QGaxHLWtNATcvQ3MU+sqWJ wBEEXJ2+pJllw5ZAxUijWdPM/BSJIVuBBUnL8sY7qGiaWLvYyxHJY2MInEDA 1elLmlk2bAFUTDSaNc3MD9GIoAuSt9lze6DrUS3RxT7Kr4fg3DACBxBwdfoK smuEtUfFQKNZB0XR3FIa6IIk5rmbdRlEF/soxQ4PTj1Mu1zA1ekruK4R1hx4 nt4DCB+U3yIM2SpdKJRJ9nbjC6GLHcbBk1PO0i4XcHX6CqprhDUGGadz/G7w xNQiDdkyXWicrU5XRRc7jsNHR4/SLhdwdfpKplVRoWJtwabpG74fPDG1AEO2 ThcqaVKh3RAD6GIfsV7I2dUcWdTV6SuJVkWFirUEHaZr9AHwxCEu2Ua60FmT Gu3m6EcX+5gfg/RR4J1xzNX0ZTfMV6MIDAS1BJ+la/IB1JREhmwnXRi0SZXq qcktf3QXe34KwkeBd8YxV92XM3fWKAIDQe2gjNI1+AB4YtsCNsHC4k3qzBhb ueEO72KHh8DPLnxeUVfF12DpK5LHuWPaQZuka+4B8MS2Be2ChUmcVGoxt1Cu LnYxRHOw0eOKulJfk6WvyOif1BJQB9li3r6qtgVug4XNnNSa20I0VRc7OQJt ssHTirpSX5ulr8oYj2gGfY4Npu0sa1vwPlhEqM/paPZwutjJCaiTjR1W1JU6 2yx9VcZ4RCMYU2wwbGdd20IMYBEiP6On2dPpYicHoE42dlZRV+btYRmq4qaF CLSCN3+IqUXctjADXzjp13c1ezxd7GT+6mRjRxV1Ze4ulpEiblqwUhO4S7iJ erjbFt1QeMUaqO5r9ny62Mn41cnGTirqyvx9LAM1Ntd6oISbqYO7bdFDynhf C8RrRh/RLF3sZPrqucUOKupKc/tY+kv4b5prGlFEKrQkwmuahhHH+7ogXt4z UJM7E3Sxw+GrxxY7p6grTw5sUVYV/JfReqhASyK8qGkYWbyvEeLlPQUtuTO+ ix3OXj01D+wDkmzJds5c64cGuivYQU0Qy9+SCK9qGkYe7+tl3jHw5O7wLnY4 evXQXAjkIafpPMNAYF3+uv49/fqyt+TBy5qGUYv3tTPzIKpet6XBXexw8uqZ uRDJQw7TfYz87kV97LD5CGZvyYOXNQ2jL16nib28J4HyhyK72IvxwZFWIJSH HGXoJI1Q08GbeSaiuVvS4HVNw6jHr6j2anSxj7sQ+wDIZdueo/QmjWV2Nxzr 05u6JQ1e2DSMerxtVb3chzELXezjPsQ+AHbC5G0rUi6U1h81h6/PuWVl0zCK hcabdsa8ZvQSQBf7uBOxD4CeMHn78heLJPUHzSHr825a2q4iFjp16kG85nTj Rxf7iMWun5cH4TSAn7Q5G/OWCuUMRFUzdfo3rW0aRt2NBVhebdrxo4t9JGLX z8uBeBZAUJi8nfkKhVJGoippegOaFjcNo+7GQwyvNv340cU+ioORblWoyAIY lhbzPCNlYhlDYTUc3RFNq5uGMVt6Z+vwatOQH13sIxW7da4GarLQ0v7z9NeI ZgwGRhn6Q5qWNw1jtvaP13Zq05EfXeyjcpnMk1VRk4WVDhyos0A8YYuZ+Hg5 XVvWtat4a3ro4dEuji72cSm1V2UhMXOOeB5KDrNGYnXtqeD1ixW2De6iDoJ4 tIujiz3fcZ+XA1VZYMicE56JksSsiagt+/K7HUOVHQZ/VZsizh07jgCPCS8t 9gFsOc8rNO14EEm0PnRiDUCqWd5NS3sMgbImSTbadBLaUfiRZ+hidx/3jFGH Y0ie9aETmw1Sy3RvWttliNS1aIrRlnHFjwDmdJwO+AXFPqJR0BnVDrk2C/I3 +lkSOrGZIJVs/3ZVQTJsCBU2iDKbJBUaj8FlfHWx82NpfLGCETjJBlCJzQOp 4wiYXU2rTAyxyjpVZgKs5rQskr6i2Ec4C2VIDpijjp1NPRMYxdP7uiDE5sBd V0bUVtHnZVQJllbJMgug1WLqU9KXFzs/FiuLltSRXvWvJwKi9PQ3p9O0e7r9 74a7X76S6xA8k2MhlVWMcVlVqmtTm8q3tqzK5SXFng/PPngfjEk7ozSCIRa4 AEv/0O3t0emUqb1YJhukbRWOsdGQuiqh6aMq0eJk/moudoyBqiqVLvat1Y7J VNMoojAZsflQ7e3RKVf3qViX9hjsmfGQqiquyetVotXhSRq52DFGqmpUXlPs xfjoGduJlKzeLNC7mkUWxbiIbSH2/Kn8lKHcIG1TmANTQmqq+E7JqBItr4Uw AyAZLqoweVWxFwOkp+zIxLN6s0DnWhJZFKMitvNnbLh5OgfezPkzPumawZpW 4xB/pOobra+FMAOgGy6qMHlZsRcTrLhNkfAIFXkVPO3IZJgNoQnFm4v9Gvl4 Zi983KgY9R5Cotm0EGaQxxgvqjB5XbEXI6y4HJHwCirBdkSu0BNUKnaxeX1w jSzFHRZ7xaB3ERJNp4UwgzzGeFGFyQuLvZhhxfVoEK5QQckjTdWI/cTFnj+z Sx/eHG5lyxBvmqUysqMqzxHF05MvgIJeWOzFIfCzcaEuXGMCckd6wkQIx0Ts YnN6O+4c6RY75qVOaZ0QjIoqvnwoRByVDi1xKOiVxQ6PQGx7UReuMZGpIy1h HoRi8b5bujk83nsf3WInzLQZrRPyiMWZ/FXU5HpIuQPcaTXDVw16abEXh0a2 vagK14jIzJGOMA3CEP4gTYj95BQ746ZMaJ0QEVju+KsoMEPwmsKT3BX02mIv zoxse1EVrhGRmQP9YBal20kisxVOxW/flF8enGzpFBYOgWFDjda1M7ZDygyR RgxfNejFxV6cGdn2oipc4SET+9tx3RGk9ftbcddn8emB+fuzfrLK4BYNIWGD EhLO7wopE0Q6MXxVeq8u9mIo6qxs1IRrPGRidzMzxH5Xey72MVM3+k7ASVUZ 26IhZlTQH1ZwhRTxoVYsZ43dy4u9mIo6LAcqwhUakpa7l0qxPxQuxD5m6mZq D857vRAzKlwlXmJMnep6Mb0Vcl3sxVjUaTkQD9doSFrOXsqEzL3Q+qCJfZTi FmL3M1w5xIxakVgWbYaMsQqUWxe7nIs6Lgfi4cqZAlqeVmg+1vmk2UThUuyj fCYv1n6KK4eYUVH/OcTS4GgVhz+kdkYXuxiMOi8HwuEaC0DLbAblMxqXYk9f vk9if/zoTfyxjJskG9eyIVZU1H8WsTQ4WsXhD6md0cUuJ6MOzIFwuHKoiFZN U4aLEPtJF/sp/QFckCIe1rIhdlTUfw6xJDZcxRUgmF3RxQ5Go07MgWi4RqK+ K9wSdrGf2bPfjc/fpwtSxLNaNqTiBfiCxJLYcBVXgGB2RRc7mo06MoeDekrc X9+b1ZLhUrwlf8apkHj27nu5DjG0ebUO8URF/WcQe4TGqzgjynYu6GKHw1Fn 5hhrabNCFA7VbWmcC5dczKnCb36ltqHWvQRtXq1DPFFR/xnEHqHxKs6Isp0L utjxdPjQfIPNTHaIwsGsnnxnyEuoPUOtJz96G+UvzCGtkyIqsXVCKt5tW5LY IzRexRkB0cWOJjpQtbtiU0dniFKLJM4TWQV0DlDrF7VPfqW267VedVKzQnxR Uf96YlPkklUAutjRRLMkrjswCMTKKRRkasQt1mo1a0AmTmHtEF/Uer1MkUtW AehihyPNsrgSV9x95G3uUVT0W0G6CYO1Q3xR6/UyRS5ZBaCLHc80S+PKW3H5 gTPMIFMDhJut4tyEwdohvqj1epkil6wC0MVOhprlcaWtuP3AGSaQqSuKNaHc hMHaIb6g9XqZIpesAtDFzqaaJXJlrbj+0hcnkKnjtZowbsJg7RBf1Hq9TJFL VgHoYi9A7m/8uoRvGEpCUws429MJd7GvQmyKXLIKQBd7CXKBPUkrbr90Z/UN GGx8hDU/m4aj3TLJOiG+qPV6mSKXrALQxS5QeYMrQ6U/STJoMMl4+Op+NgtX v3mSdUJ8Uev1MkUuWQWgi12i8grXRcqAgWQZGDxkPHx1P4NEYFTrh1S8CFuS 2CM0XsUZAdHFDlB17CIyHgLLD8jTU8Xh5k2HhhziQquuE+KJWrGXR2i8ijNC HtS7vS52e1KVgfUh7N7Fsjt6EDdC8WMRTTpeOMQTtWIvj9B4FWcEPNoudseo 6uLqQ+Qx1aR3tIBuBPNjEeGWtwiJi31JYklsuIorQDC7hnaxe2ZVE1dVClav VLujA3AhqB+LCM9pixA7as1ekthwFVeAYHZFF7trWBVhVZVg8aFO7Y4G5H3g fiwiOqdtQqyoVXtJg6NVHP6Q2hld7E1HXEMCFeI3z8/K0YC8D9yPRUTntE2I FbVqL2lwtIrDH1I7o4u96YhrSMD7wq+em5ajAfC58TQV4cVo+rpdL0SPWreX LNoMGWMVKLcuduewKsJmVuL3yMvL0QD4F2FoKkKL0vQ0u2aIFrVyL3m4EdLF ns+rbM87kPYjriFBrgu/R05ijgYWELve95YhPGrtXop4NaQsZDlr7LrYm464 hgS7Lfwe+Zih4y4hxM5d3Un9ra4cQsLW76VMoISISoavSu9oYofzCg6vYloV UXWFhnZqR8ct4Nb64E9awWidEBi2QS9lBhoBShm+Kr+DiR3PKzi8imlVRNUV yiJ9FnfeeQgkrSC0TogI3KYXvKbwJHcR7GL3TasiqKpOHumz+BPPQShpBZ11 QirQnli5Qw4QVjN8WdDlf13sTWc8M0SE+iz+xDMQTFpBZp2QCrQmVu5dVuL4 cDA+a4ky6Py/Lnb3uKIxNWVErM8SyFyNeM4KIuuEVKApsXL7/licHYjnF0k5 /NvGU4q9ZjjGuHx5ZofIWJ8lkroSS+R8UbBRirNrNfNbmqcXu09ytlbWCQHB PksodxUWSPksGKP+ZJTy6BrN/Jbz+cVeLfd4lorC1gEhF2iJJa/AAimfBOGx sFGCo2sz81vSVxC7R3S2VsIBM8U+cB9oCWYPo33GJ0F8LGyU4OTazPyW9CXE 7lGdLZWof10IivZZwvljaJ7wSVAxacd1Sbfm8UsSH1Ts+UjscbtVp0nFmWJm CIoOWBbD2vUOgpqTYAHoZrQY+j3pMcVejMSedoXYgLlCuBUhKDpgWQorlzsI IqdZBLmSNZn6PekhxV6OxDGRGrFJe4VwK0JQdMAyHwrnGP2nR91EmDdI1WLU U9Ijir1mIlWXVbpU3Px5YuHe4SvmR8pS/vHrabG6R0PlmdL7KhO1OONH0gOK XU5WG4j4I07Xn3jdEyuTcx9yRQiKDljmImEp/9R9etS87MFQf6rMVeZpcMZJ 0uOJHfSvzEPRukPtznfYA/OOHx4PaXATjJJjNq5pZ5mqRwI40cBpyPsrspKN eUwPJ3bZvTp2Q+zGkbneYo+OPHpyPGr2TbAqFvO6by1S9FjgF4dMZhQ3VtqK FHMuDaR5NLGD1tWhzxU7GXHFCdQfGo+cdRHsgsl3713sBfjN0a/UI3ZWrioc TOxycJZg9e/i9dihqLQVUNeWpUG9ROsPkXex32BrC16pR+icVHU4qNh9U1ed PLGi1kZAHRWWOMxyqdabiH0G2V1gZjdF5PpzOabYnUNXnTyxsthGQC0VlgoY 1RqLfQ7TvWBWQ0Xg+pM5pNi9l0h18sSictsA9VRYKqAXayv2OTz3gzktFXHr j+aIYnffoslF/EsnztfsOwInVnXuapfpkNKJpf+PTmgOyz1hRlNF2PqzOaDY /dfo7nEq//ED77vxewJnVnv2tM1sSvnITpVin8NxX6hvq4hafzjHE3vgHt0c smeoM9w/etsVOLUZ5y+TJfkSaZ/miX0Ow72hurEiaP3pHE7skYt0cziVaj+m 2Iem3LRk+aDSiVWKfc9TdQM3wW8Qv1JlmkCOWTia2LVDELg5nEq1X1a+2F2h KTklWTGp+4Nqse96qH7gNvgVoleqzOJPMQ8HE7t6BgI3h6cR+9CUHc/luzrb sN4SuBHftMYudi9aiL34MZIvdm0Y9ZvSo7l8VydapgnnbQFb8U1r7GL3oonY 8x8j+WJXhYNCU34sV0riVCA8oU0n2hqwGX6JyHmWKbwJ5uJVxJ790HifYveR aEqQ5EoYlFpP1B4r0YTv9oDt8FuET7PM4IyfjS52I3gtuFk0JYhzPcpLrT/U HirQhO0egBpSbhE8yzKBM342Dip236hvDtcbmlxUl9gXB75DqtdczjwZroC0 PqldJlO4epyPAX9LdPpl/IwTDeGYYnd+Xb053C7o46LuQ+zO47YvUV3JIhna E290ZN8gmZf9KbUeaorMvgyfc6ARHFLsY5XYiw9gWHXMBK7Ttu5QXUmRTG4B rcd+N15p4te65wAADpZJREFU4cgIdIVHX4bPOc8Ijij2YtC8uZuD+B50N2If XYdt3KGqkurdvW0grUfErjRwHKAOIm2hyZN5L44Dir0cNG/uapevOPcj9tFF Qr1CVSVhsnKjeEsz+oGTCv0jAfUQ6QsMvgyfc5oRHE/sYtC8uYsZvL00if3E Y9eC66i1K1RTkiQr1vk7mqdy03vJDb/dA3QRakwOogyfc5gRHE7s5eDmPLMn 36aS2OXwKOQ4pdYlmSXfPY9penAqN6uLHQ2gi1BnchK+cMe9COJoYgdXiDd3 cziVor6JXeyD2OUQOqbGJakl27xrPNW6V+zrzXFxgDZCrclR+MJDF8SFg4kd 3SHe3M1hn2JXeC/GhueDhvIV0B1zCh0PoI9Qb3IWzvDIBXGhi12PXRKRc2pd klqyza71M2QfsebEMG7LbJBotJEL4sHLiv20vdgV5ovR4QkfhuKbdqJ1RfWr DnF5yEZi7YlpTLfw4QO/kAbuhwsvKfbk10Ct2GXhP6f2JalFvERnWmdqX3eG YYQHLlbx+GQrHfOYLrILGSnlRhe7Hrsw/AfVviQz+L5V514rjzCM8LzFKh6f bKVjzkae3chIKTdeU+yjqfW0wJJwH9QCJYnBGIzba0azO0BOO94EiMhXyfzu s+xiv2CW2NHP02/fktqxC8N9UI+IdjWxIblyippNsde3ugvkxONtgIh8lUx5 etjFfsY8sUMnf+yScB9UFtGqKDRkd4/yscRe3+k+kDOP9wEi8lWmcPzriXN7 KNHFrsXWzdRGhQScEUJjENT9vDddPlXO0VdB3j73gpx6vBEQka/SKZ+KvS72 M7RZSqhOnti6mdqo0IA3QqgMgrqP9MPii7eQgm9vuvvcC3Lu8U5ARL6Sr9O7 2K/oYvdGCJlhUH+H2MUTkk3C3eZukJOPtwIi8tV1fvkYu9jP6GL3RngErRuv b10O/LdlT5mXByqTtRGc96JiL75kdrGfUS92emM9/4proyHj5LEK7gjixe98 aWgvdk5iCwTnvaTYy2+PutjPqBa7onXHv/XWaMg4eeXd8fji7bTswCWY6ZnZ ImJnhTZCdOCDWMXjk637Cmi9i/0CTewqDLE3uRcVmHF32pTNMoGR3R8QU0Ts pMxmCI9KrOLxydZ9RbTexd7F3ogTaU+O7P4AW4aA2Ent7RCelFjF45Ot+0pq vYv9imqxG6/Zm9yLCkRrNONE+hMTuz8Sw5RezhE6fNdBeFBV8wcR+UrV+hgp 5cbTi50fUatrUYNokXacSIfJnk/G0S+XtutaCM9JrOLxydbkUWo924mUcuOF xW7naD1sXHu+d4is2aJ8ykHweZGqmyJMWKzi8clWINxZyo2jij0dZrMDXhEx brp3sEdrMomMoZo9v0Gn19wWYcZiFY9PtgLhzlLujIcVezrNVge8JiLkDN9o k8ZoHjKGcj45foNOr7gxwpTFKh6fbKVO4m2kPNxZys3nNcTecmqNEKBnuMa7 1Icz3Too51OF2Em5yAnOPNyo/zpiB28aZ77OUm46xxV74K40HFoz+AlajnPu IQprLnZSzH9+FmIUwqTFKh6fbD1c4I+IUl9nKTeZA4s9O8F5d2ELeClafhV9 6gNqLXZcynt4PkQ4uEiPeUA4HEUU8VDri/yc/U7kyGL33ZhWE2sNJ0vTq6JT fWDTD9Xu/xfWzCsEHwPQTNRfCQ/PSKzi8cnWfZV9tbwtlhH7ROTYYj80XJfV 9oneQlm6wIJi95TX+qgM263Y08fg38N2lnIz6WLfDI7b6rjO4VuISmdYTux2 +TncvUHhEYlVPD7Zuy8SsYMXTpFSbiJd7NvBuq6uyxy+hbByisXEbpWfSd8b Ea4hVvH4ZO++eAj78Q39AmJPO+9i3xAhQZg55hV+4KTquV7sRvW5k1MTxAvl AXGetPH7IlP4Uh84mU+oi31LKNJwXuXwJbQLP2QMBK1/JfDx93cXaqG2Xw/1 ufGABRpkMdOKqah9d7Fvi/CFofHtyuaXT6L0ijbgbi7WRH3DNvU54QMmgWfb VuwFjy72jRG8Lzx8garqP+wYglY8PDKSqUnDhPyc8IGwWFvsYxf75ohdFx7d vCi5ke5Qzt/ZW7APp6OvhdQri3dOoIyfaCQG69umWZMpp3PO1sW+Pcyb44qt LIkM6UZ5GRXXiup18TiXz833BSv1yuKdX+9E/J1GFq9pXf23ycKzubLoYt8B jJvjC62siAyBHKGqonxdNEzmLQnUCsQbErsn/o7iCyaBz8tEQuiy7mLfA+Rt KY7JEVlZEBkCOUJVWwWLXO6KSK3oqVqKlYY7429YU+ziEnWx7wTivkAtKmGV 1ZAhkCNUdVNIGcLXzOKHjjTceM1dxN+Qyrj+X80MddzFvkPElT52sQdQyhBr vfzhNw1X300H8VckMlb03ETs8iJ1sR8bsS8NMgpaAkkCRTdHLkOm9UzsIt73 tQLHn/GQsabnLvYz5g7g+dDFHkD0mV0L9zyzSwabiP2+08V+cHSxxyB09Fif ciXiT9sUhjxG/G0LjSdfK/TwCLrYnw6Nxb4QVv26oDZGxZ6KrUbsafgMscc/ zZNAfhffxX54VAgX3INFse5XFr0aE3um9QqxZ+H7Evu01cV+dOxf7LuqRsSe azUs9lM8voudoYudIq7czbS+RrnBKAfFXmo1KvYy3Ct2zdbFPnMAT4mwlF5G 7KieInbNixtQeJXYk5gu9jNmDuApEZfSVlpfo+Bg1KNi1724oTZe+/rQxX7G zAE8J7rYSbWI2A0vbqiOB4nM8AC62J8SYSFtpvUVKlpqJ2K3vLhhbny9l44u 9o6VYT7TLlxRmKFaHV7cMDe+2ktHF3vHylhd61bJmWpzytAVjxz6u/FvXewH xfpP7McRO/mOIFBFBZhBF3tHioAmPa4baN0ouhuxI49TQ7GDp/Yu9ucDURXe FbEtxb7FE3tI7CcJ4EXDQTx0Q/Fd7Axd7G4QXTnltqTYfWkbQCubvWiGKL1o OI6Xbjh+RbEPt50u9mcDuOUBwTUV+0ZaV3+2Xz79zhA7D+9in4Mudi8GHa7w QKUAF1/WJlAKF4KcIXYlfG9iH647XezrwSXD08MPfKDK3e+UXYf0ou1I7Jtp XXtqz/WMfhkm8ypRfq3A4bsQ+yhG0MW+FgwV3k7klP0TAqXWr8byjy+yp5Uu dlE6s0xTnB6kyIwo8SMKxedGO/7Bzlm+egiXjS72dWBo8H4gyQW6Piy0Lp7s x/zbyTZiD8CdqskU/WC1Hxrdg9gfn0npLF8/hPO6i30VeIXzuED3uwDEnm2M CzyzB+BN1WSKAeDit+k9Biz0mljxjzTyAyrjU6sRL76Op/lw+NwhdLGvAbdw pNjlM8j0ZT/5+v94ZNdowNSTLla3NXDxbBerXSXdNB6rvenQCjZd7CuAX4fy bqRf2sG/LjKth0teJHa9WDOudr5o4caA1XNOplhL1oU1LPbSbmhdxM8bwtDF vgaU61ScLXo6L2/BafoeD4pdKdeSrJmvonRLwOoFldMpm5uMN/bmxsuf3qnh FcgPoYt9eQS0k4p92i/Ufpqe2onYScUtu165dlk/2wuEO/YWim80tfwGfJit Tl3sCwBLG6rxpmrwXF7+q95372sJ+AyzpdT2JfYh3QuEO/YWim81tWwKHw6J pN7rYl8CYbGLV2+Z2k+T2g2xb4su9j2IPRtDF/vi8Gp9GLMXcZkp3Xq8vjuM 2PdC4AXFno6hi31xuIRuvTGbbD3ezdmz2DP2mzNItwLRjr2F4huOrYt9RTiu Pf6Ra+aSi30onLrYXQxeUuyPQZzF/uXLrflyF/syqBY7Ufv1/13sFQxeU+zT JM5i/+KX3l2VL32xi30ZVIkd/OHTXe3J//Yr9u21jr6Pf1Gx3ydx+Tb+U++f 3v/UWxd7HYYIWIry9TrSby528abdHvQ1YQ9kutiLfNfX7J/8wifP/+tir0BI 64OWY0x+XdYh9uTX56XYSaHVsAcuXexFxv4G3TzEpN5W7MU39L5S62AXTLrY i5Rd7HMQlXqN2POPQgViPxGxk1qrYBdEJIcu9ge62INYQezJ83vwmX1Lte+C Rhd7kfLD4b0EXewhxLU+aIlG8WdQ8u+ihvK9vGEofpt2DzLbh9hHQeLVxZ5f nS72CJqLvZT2KLYe2k6fz5nYSbnlsQsSXexFyu8psHOxd3R01EE8E5x2LvYP Ozo6avA95dPle7sXe/6l6Sc75kB7vbFT9CP3Ix/cEcWebL7XT34ejvfSqB95 AOUP2sQsu9hfCF3sT40nEfvHP3L+bz/5mehif2pcjvcjH78N7qhi/4V/cqHY T34mutifGpfjPf2TX7gO7ib2f3rBdesIYv+Znzh1sbdAF/tT4yr200/8zFsq 9mSWRxD7F05d7E3Qxf7UuIn99IW3TOy3J/aDiL0/szdCF/tTgzyz/9NplkcQ e3/N3ghd7E8N/Jq9FDv6ZYazeav9/m78Muhif2rAd+PFa3Z5Ca7P9lvt95+z L4Mu9qeG7+fsXeyvgS72p8bxxZ79+f3W4zw4smEeA/3I/Sg/quJwYs//unvr cR4c5Z/PHwFbz+xAyAdniv10ykQ3TNt3Q7L/SOvzV/a52Ms/v+/o6PBBfB+X i/30z/4ZFinaf7d5BRB7JI8q9o6OjjrI75JSsZ/u0vWJ/R3e7cNn9i72jo69 YUjEfno8UbtEGvRnXxzAy4Eu9o6O1jhL/S529m05FWkrf7nfxd7R0RjvXsIn Yl9f1F3sHR3r4J3W3xxv0DX69r5/G9/RsRXOWveIffk37h7oYu/oaI+r1ut/ 9Mb2K34k90AXe0dHc0zP66nY2S+9LPzLNg90sXd0tMZN6+/t/NdlOzo6ZuKu 9bcu9o6Op8ak9S72jo6nRqL1q9jBnxbe/DbZ72Lv6GiD/Hn9ndgRzo5b7Xex d3Q0Qar193b+gZMdHR31yLR+fW7fIbrYOzrmItc6etm8D3Sxd3TMQ6F19GnO O8HWk+roODZKrb/9c/qcmxwNzWVmAAAAAElFTkSuQmCC --0-1708552679-1559988410=:2358--
Reply subtree:
3120 [pcb-rnd] project state + camv-rnd progress from ge...@igor2.repo.hu
3123 Re: [pcb-rnd] project state + camv-rnd progress from Anthony Tuttle <ke...@gmail.com>
3124 Re: [pcb-rnd] project state + camv-rnd progress from ge...@igor2.repo.hu