0x0fad…65d0

All memos sent from and to 0x0fad…65d0.

0x0fad8c06…65d0·#25,733,902·0x457cadf5…450ad4
H4sIAAAAAAAAA+196VrbWrbgqxD3PcGDbGu0ZTsKxWASEiAJkISES1PClm0FIxlJBpyE+xz99z5Jf9/tF+s1bI02SU7qVPX90XUqWNrzWntNe+21t6ZOtHbrBKHre1ZJNgclaXjnDqOJpTqaNJw47ngSWaouy9LF1A6jEzsYO9FHq65k31/ieziwp87IHkR+cPFi6t9ZDdXIJR46vhdajVYu8XhiD/27kArfuR48XwRO6H51LriApfSG/mB+7XhR49IfLhquFzpBtDn8Yg8g7eXJwX65dOmM/MBxvGFJ+vuzoXu75g6ti+lwLYwWU8cqzfzQjQDA7si9d4Y9bCHqyr2vdejPue924H+9oRvOpvaiOw7cYQ+eBk7djZzrsIu9OEHv0h5cjQN/7g27/0OW5dJz6kd0YIczZxDVAxt66f7bN8bgQxOeGIEPPUrpXrteWZHl2zsJMDCgx0l1VflKJdehoig/GyAMyL0er9nTyCqV1sJgYJWGdmR33Wt77DTvnMsZtBg6LV16fzV9cTTzdzc3t06P3r9692G6qZ/syfC+efvlYPPN5v7oZfhCuzw+NJrRG+P9tjZUb+/kg9kL5aRp6vOWP9+KXmg3Wme6O/o8bR59bF8e3m5GLXu7ufnu5d3WePv1Zn9nvn10dPvu4P2le7vVvhq/erW7dTy5dOQdt/3p056jbOqOtnn58tVbf+ddcHr5ydkzX729Cq7vP71xmuP+/Kt9qr7b25zdTT8fdWbeSefLx9PB5khrNjsDte/o832nPVfme28+Xbrtufhv1B7eGdtbd9cf5kefL533++8PFq3904Ohcn89GppN+fXi+NC7HTSPLo+ad95mswXDmTi7W53bz6eecbs9fmm023ubR1vjm3Z7d/tTTXm7OQ5enxxM3s+/3Pa/HB7tzN2XNXn3fna/d7Xt+R0/+vLl896n8eLIHb7Z3w+bO52by+H2/ZuWo46Dy9AejHec98Zc/WJ/fhFGW4vR7eJI29E6t3eb98NPoyvN/nrS/qLKb1++3A1ffdw/un+1eXho79/uftbsy8PLF7ODD+377dph5+WkZRw5V/ftUfPukymfjozmftA3Rzs3u+1308+nL7/cyd7tjnxnX413NrX9t9rO/HB0t1c7MT7Jo4PhwbvWcPhe3nq9fzk6HZv3WhAZ9y8v330eX07fNe+jV1P9sGXMw5uXob41nQ1uNXfv+MWr8H6kOVeHe27NjN6+M3cu7+fy4r2t92358NjobN9tjb4qX5vb77ROaL/yWh3l7uRF1DqYf9gcDPzXR1+vRtfXV7X5W8NZBIfe9pd56/Dr6YvXtZO38tePQbQT7nyc345u3jRb9snty/b+5o7zYW6/cG9G49P9xWx4cC/vLk5Gs3eHL+8/Hyt3O+F+8HlP6cw+jg/9UbCzHbxeBJtvT+ybo8nXq+DzyeijehTuv9Smp692d8yD9lX75vTtzWLWrC1anuYu9ODzthY4e8f67s3Oa/PgTXNoe8rOh0Fr9OXVsda+ld/a/o33+s3gfTCzB9tD5+py5/Pd9ueFeut781f2XeetKuuyfXJ6tft515vMTsOXh/u16ev50c7BafNkdDs51Y5fKuamc+fP3ZbjN998GN4d6AedT87bt9rVifxitPvidDC3X+1Hg5Nrs/Xe1D/fLsaLgf/S9E/U4J0u7328fWsctTT7rf/x0nD8r9vRjb7z6fpSjYB3b+6vbw5fvNvalq83O2a4P/9au7upzV6o6mBzEFx+aH+dfv2kv9U23xy1HdX4rG/Pv1zPWls306YyO4W3QbTvfdmzF/eL3a9ftcu93U/Dl8pwGG0e7B18Obrc/uB+nLbD96f72sHLQ087eX26eLv1rtU+eb25b8jBlzDc7U/CN2Yn3JxNPypTbWJP+je7X5va59rOzsAzOuGR+vXy1a0a9jftw9OdzcvtN7fvP369GXutljcev9y/Pv2in97sfXWcndnu9rS9v/VhvrPzESD++uXwxYf2+5sPQf/m/nLW/LLzudWM9i7DW/vj5W17Mbo5Ul8e9F+8Pf209065/DAMzNOR3pmfvFBrL1+MNk/32/uX+5stf7jlv75u9+Xdu1fy3uR1s+nX3u0YnVcA5r53f3e4dz3auq3p8smk9XnruOmcftFOX996VztXO6/vPx8t3h1ceq89Wx++CI823y+G8uJ070Y+3Xz35jDSX7jbB0G/3Ty9HO0NPn65CVqXgX56tDlWNs3W11mk7x/sHH72d+8u27cfX7fU0evZ/df2FMj3YNT6+ml68noyvGzJ/Z1LY2QYh193F+Gb/fbg+qV9bW71NUfZeXv55uPu5kyNVPvlZ/XrnXJ38N55MfHnrRctw68Zb1/Lnz6+0kbvw/2bd/vDsbb/0nFOdeWd8/bjh90vU2fvcGtne7Gre9Ew3PlsHl63Xtuf9fcvt+e66W32554zVfTm8WD3/rNsv3+hHYy/HulfjLvXgV67cYazrS+Bfje72vvcutLnb9+Es1NjbJx87QQ10/68FSg1+bB9N3rptjZf9Sc7m51Pbz7Zdx/c7Q+v3t3v321t2scvYBze5mJvZ7u/82569PK0PbyOtiOjfTL8cv9mfOR+PDJfvX61/WrTPdqbTjf37JOtV5ebL676m/1X/qm7uX10vX3sHL0ev73bqRnvX4fHi7uX4487XxZbW69ebZ2Ot81N33z3cnL3cnNn29E/vp6+g7L9d5tj++DV5vvmeCe6uXp5bE+3D/2ro8A9NF8FW4Pxpr4bvuubm+/c49P3L/utvd3+572rj+9Ot4+/3h3dXW4enxiH76/ftY5O9k729mcT/71zZL58L+/tHV/e7bzY7b97sbf3qt0/fvXq892mO9+aGerRu7tJ5HvqoDWbbo/vx5PjL4uj7fHtx/6efbd5qwdb402rFFsObBeo8h891vxdex75vWv7vs45YCL8kaj+y6k/uOr5l1/Q2Bi5UXfge5HteqD7m2CNiL9/r/SmYNRdQ8bFwPZu7VCaRNfT+Hnojkbz0Lm4nI9GTiBxtwf2LE64nF/P0ChLSoCRkWSGkZ15mXvxo4em3Zv8K9qASRvzSyd8Mxrl3tn0y3ZzSn8/SWAnRRfe/PoS0o+kqRtGF2SqSbd+4Hu+exF4w4vQcYbSwJ+CEXk5VpInVYoC24Xq9rUjHgN/Gj9SKfEcwjQ5F9FiFmeOpu7gCrqMewnnARihCSLi5KnrOWEC6vz6YuBMp+Fm+riVPm4ntSJ36ggopojyC9sbw7D4+esFzHEkgV06n0HJa4eBdrxB4M4ie2jTuxS6Y+8icu4jKfIje3oB8wymXyghgBfukH8pn57A7v0kjaeL2SS8oPqZ54vDXNbFSeDPXLBKae4uKOcYrHB+BfQMrlxvzG9Txx4mL2EU+FfOR6KieFSIH0kg82IG5rwThVya0T9GyuBHoGioQXmTuSNeKR9fYVa8S3i+9odzwFXcJE3ZzEbYvYuZHdjXAgXpsBkT8bDpLTdSSuEhjNwA4B9BKw4PFszpofVEYfQkRB1aZ+eclCFsShzNQkuTpdHAkmPKwnkSHH74ae0Yn9aOIbEkCgA3+3Ow1LfJdneGcfrQGfi0ioDF2CFQZ5wOxBNhSolxdz2fRu5s6jqB1Wgb0tDHNdMMeM69dawnshROoBDPFUILKEhSh87lfIzQhROAAJAAuHXwPYNrBwAZTOwgvLCDwF4gjNwYjxpeaYE2g6m484MUV4h5IOQBjt8OFtY3pasasqR2Nfir0V+d/hpdDRaULcptd1VAntlVFVnqdJWOLClyV2nDj9JVIF9R8edhZQ8qdqG1qIsWddGiLlrURYu66FAXOnWhYReqvKoL7ZEuEsbArgwZu8K/Gv3V6a/R1dvYla5jV7qCXWkd7AqHAF1pOnWlqdQVgP6QkDII1EAQnwVViCwTNPdGc4/GsTawndAOjqMAprIM4qryLQBREXhrcVKlASrCjcqlUqVxbc/KjvX8G2iHMFoLLKeBk7kN87oZleVKT1QNnmnq9+/Bc0VtbThdbqgxCvzrbVG6rKm1clCHv1GtYzha5Y+OUXmoNL74sIyFjh6S4aGcWsyifRAkudE58ViShxwgyeChSiXTXGB7Q//60HdDB5uTAslPmsR2PMrhVXN1Wb7WHElrV6Pq272KBBin6mnj14tjpnzo99vID8qoLCNA0tTxxtGkrvSi53IvqtcrCQIP7GjSGE19KHzU4MEhp5Yr1XJUU2CtfuacReeScxacn1tn+CNhwvlDjIa0dxYbKv/EwEle5VvUADaNyiD1ykFFCm2oSHIA3y4D5GIQqiG++YCuBi3rob4syfjq+SdYG+C1LMt7+hSmHKR0UK48FPSIdXZW8pvWekkqfSidS2el63XzWW2jf7e+odfMJPXKXNcrzU7F6I/UdbNi6P39q9HdfraWoVb7E6NR05PERaPWv+rp+kZ/2tvoQPJHSp5AyWYtKXV/+9WbTm++uKMI0j5T2tjsVWr9+26v2jT6/2GYwGlW2u54vdsxeq2Nnpa0GUbul/5V9DV0RwsvCqkhqeTpnW6z2+s2DZ1K3a1L6zW1f2f8raZX19fVpMW7jXW9PzOMlraud5JUvyZJfXf9WbOTgVOSukqKLd9o6P3vjWZXr20kiV+0prrRf8jA6NbU7vr9OgCVJAEe9f6iZzb1OqR94mLrz2r9mdmrwzCSgje1DXW9f7WuNHA6TuHfpGeudw3zaLquqjWz2elyryrU6gcAQFMznqUj7AEO9P7oWc3srOtGkh6sd7t9f71ilDtG2tkU5rnb/49emvKt+axZFR1zhxs8i411U611+pMOwJBOjdHtpn2MdH29P1k3zZq5nuJwXuvWzP54vcdQnsG/kdn9Y2I2u80Kl1jvms2K0h9p69XM4CYb5Zp5X0uxf29IzfX+FAiyuZ7HDWfDU6fR7Ifryrpm0LgYzzdNVW0Csu4rDWvd7P4tM52d/jfTyFHBzP+y8G760+jGc9MpVozT0zwVTAzdWt9I+pgaOME3tWfNLENA053+DczHvFaFCckwS7D+vD+u6Z2aQMl3QEeN4QjXu/37dVNpdjrNDGFAaaPZxRmv1tSyaXSTvv11s1btz42/rUDKjfGN5vMDox2op8P9NysNZI7QUFO+mKx3UBbUsrOHw+rP1ztaVmYALtfr6rqWElLNMOv9sFZLa7pALTe9ilnLcMGsqfVHgIaqYUpJYrUpRsj91YB+ADV/a5I8+pRS72xdT1v6ojZxPmtNncmqCPfYRB4fA78pWe4CDlD6414XaqbS7r5bk4BXcEq70GuGaQSSZsbfVMPqKCnhj46CdaC1TNmRWpNhakwDOaC7Xq/pMY3m+TYylUZmQHdNpR8ZnW5NhymtKRlhtK4fCWRc14ARuinoxCyTdRVIKsMu8/UeyjqiqCI2iGKfgRgPa8iGeoLYb8Cq/cBQ9fUUHb5RA3pd72SEF8AFCf3pRidD3qAEulkBY1ZqqtG/N8zm+hEMpGo2671aymzjXvVeN8qJDL83VOCX781uN9sGKICZCkKyJobJGV5HgXF+q6lNmDnFeLaeRfvz/pcOAApIWS1e/KYGkwGzjn+BG9azE/+sBkK0iRO0Am1XZhP5FiVKiow70Bs1UJhNHaY0hf8e6GEddFhTzfCA11lfr/T3XbMpdff7wOP1RjdTw1xv9Nd6FSVDi/MmqCqz/w2Id2RmKXcEg0f8oIQtE0UZObY+mhs1prCrm1HghdOon1Wx3Nlds1pXM6rruqf1Mpr67j/mi2j+NZzdp/WUjbqhtlLwp0G2WXddbwKDxMQIYwYkd3Kz0+z0iX5SpDwD4NYaG39rKLVnG5XGCsRf10wk+T7aIRnUj/3/87/uwv79YjS6SYWWut4EJrlvqs8yeASkNHqgdsxas8toBII/J88IOTHQXtq2BxPH+vaQ2tljJ8IMZ3iMZbbJY4J2ItuIbAKiieZUQKhdlGqckrHW8hkZww0yeu6onO8bjMSKsBGXMmiogZX1uDSEC8e3ggYZv5IHT+zBkVwr2ScbBI4dOf2pg2/lEtcqQf9cy/IlV9SyPOpmarkNAH3b99B5UC6pQyg9ZRvyyBnAqgEMTTRTpWkDFqCX9nTbv6ZdNecNrALFgjX058HAqfu3TlCCgsPAvtsjMzUgM5V6si1adAskSjnMSXl0SaFAOKyPyza8j8T7GLf6KOVCpFxOoTlIiJc2PxqlWDsvcIgjdzo95mV6ML4sl2oh0lptRH8vaqVKXOjXkTB0wDb16KXueqvw8Os4XKIJy5XcdC0R3sztwPloT6+ySwnJlaaSzSQbSiPpQhpIkx4sCBDvB7ise3m8JfHKlP+phlGRnEYAMFL+dv/wpH+ESbTKKKR5/jE5UmCxUboM5uGkBEsO90w+f/q0HMKDcg7T4p6p59IAfrRznve5FUERaQg/UGAGP1DgGn60c2kMP/q5dAk/Bqx5rWuqsYAlGaIOVoiCLqU7y5tPp9K99XavqZhyL129wYLtWdCLarXKN2CyEmMmHljFacxgnGUcfQTLt3AK3FGeS0OC2o/wbVRLVnbe/LpcVySlUrXzNWRpRZlpBeDMpRMKEAEVaWI1jCoioTqAlpCQyin5+zny93PkD2+5Nj1EngcNwzpZTBWR4wAnF1Nm/qxc6TnT0FkjBCDlJPB/e3SEhGnHWoZLilYlBtYjo+otGqF9izSxKKJ4EaMYcOwASqv3+UKyFCESF4IpNqeziW2BRjYMKQ8G0NedtVJA+1g9ZbM7qT5oqvwHEFQpNq7gmIBN/QAG/IA4+/bPpZACoVoXRKl/OUHk+24oUgN6D6WZf4cjiSrVgeNOy1FThScpBMT0BN08jGpW6leZNy+lYfMSfSeNji4xEGNpXrNm1YEflkcVaYjPoevB80NOIuDLLkJVkB5vjg5ZeqRChpOKTp/V0kwiQRY7ZAZW+PTpxXMZ9Fmma5fRiYic5hA5zSES3uxKjxuagNrLixghq1DM9AYo0LI9hGkPo1wPo1wP8HZRkeZWWGg77nX4KBPFZOIBmXggzzyUZ7ETCiTJsDdpXDpj13trR0isk4YdDASuQIxXyU+FXq8JjxREE8Awz9WZP1ZnLurALNVW8H7Vx3FGj2Qp5w+0f2M5vINjRenE3tGU7ghFFa6eW5JjiTtuDgiYAwLmgIAluliuJzkW9b6KQ3nYlP9pdb5y3nt07GPHQ9XsbM2vZwf2bAazebG7eXzCQMST41vFXbTEPFvK4ITeUvrUt4dv3XuQRsQ72VdBN+5yYzMqIU1BVYpH24oa92A5RY0F2EtR42tCVA7g1Hk2FW7OHkyyXpmeOeeWIUvwW1OSJzV50s4tkMOZJhRowqvD35QyI8up+hnSVYB0fSiSId4LS6+WvVpUIZMAn+sKvJ2TkJ+IpFqaNI+Tyk4dp0gkD63ypD6oVAOwH8pJiVpaoj6HTN78tMCwqZbL9WHVrtVBVtWU6qhSLStNovfwJojKw+qwNqvO0IFbqaty7/qZDNxybYGFdv0cqtML/Mb4H1tqwzCq19/l3vTs4twaA4ouEG38oMYPjLQHEIzz2RBoJ57Gn1PVBYZyBfb0vzF1gRQqw+yicY6PMJGVfzqFeUhhQM1h3UkKhlAwJDoLC3QW1ryEzkKgMy9PZ0AJSdI8TvoZnYUr6Ays19XUBPasXQ/BnM1mj6vj2qg6qinQkwoGiTWuXoI9O4K/97mCi+qidle9q0XViK2zq5SUIfO+guRcvsMHpVqO4LdSvSb6vSL6vUL6vRL0e5Wl3yOm36uYfo9i+j2K6ffoF+kXlluBuhNTKQ7Sx00mXpx6y3a7a/mCZKfwJNarNm+rXNv3ZUXK7LC4ADiS1+rcKeWOfr7WHYm1ri2N4rVuSPiENePyWteLzdeL+AFSwNREyw5I7hoGIdNeEi3gLn6Q5xVMzYvCu/eri7+LXy3osaF1fO370QSw3vfsyynuYMvQxqNZxVrv5vbUjRZWaQK4Ki3VzGcXWD4gbr0o+AtAQyOqUrvcJzyh8k6yvUIdyMTEtM4oLhvXrfQuUuMdiqbP8Ywr6YzDI9lyKenObFg9HLiDwKftxRP/BFT+1tJu3CMi0kllotL0V2Ih3XWtTpMCPhTwn0U9Py1gMzdiDHCV7W6/OgV2qnyXgfhB5viwWgIR4J6F50DE8IOsyg9q/ACs6v2IUR2a74/kwLCHu4FzMwcumS7QpRUFC1wrP3GEB6qXqPOGM42+f48ZGr1WT6K4ELw4jYvA8YZO4AS40Zi8NF7s55sKwP4ocJr07W5pMN0n8gP5xp4Ecf2iBLECKddrdgxLRSsPAzsaTBDGh6zOjT64zt3MD6Lt4+NyPA1OKkniByFLwGg8pAikMoelN1wPtPZHJLHKd5ikYFX2S6I7ygeR+PSpKILbsS60mdb2VuRmKrup+Itww3eavgdAn8LP9e2uy0003HDX9UBGlN3K06fuc3nD7fL2uDRZKjKFIlMoMu3G0eYplsAYmS6OkliSY/crbdBbTxRyrDzJBJJ9/559Q5qJZ49XugpOaS4yJcV5cTJ6kYAPlpRO464pxu40Jk0xxsoDdl8EBZEF62m5SHdF3UFh9HHAACoQ/7Ei3BuWweGvPJAQSU9g7gLLsrInIp4+9fMpL/ODAmMtjy3UOeh6FFLr7//2LXiY3f9dipOFCIN0P5cuggGtEkUDlpL0a+jV9U78mVWSi6lbfhT51ysy9p1RZJUw5rCYc0S9L2XdEwlbJY+CkzLpTLzFjChWksWM0dS5P54ErndFo8qdLQnyR0v8zFKS5uOIpmMIPLyaXHOWdvQiDurZDWAZ6QfDfTJPUTzE4RnPLEXdWBX8A8Zrd2W6op6DyZXhmxBDvnY5qOctR7yViWWyMWuWAiSSiZHbSNajg4nvDpzyWUkUBzBK6F4F22YCWCuxKXBxCdVgysHKCQccoelOQaiWAM23znSK6wjfK7yPRqXzSlf9i3q2pxh0B2bIrfMPjOYfhvuvHI1U+uAEEYZ4oacxG58HiiY3ff86pJ2jkZsPoMSwu3zMI6ZkRwCjzw43daewfZILGW2qWWul4AHGmDjVgIVDYQjsJD3LlTVWhbLBGhP+k8+BE39zCBiV9w+PoIa7GwaO4rdbqWMTGKyony/NyJ9qxtEkDf61/7FmdDEaAEpKA9kKDVby4cxWaTelkYdkiyCm1iWqKRKZUvBqY/8azE0+1cQQR7ly3vvBjNN8/z70+YGhX6+QopwjzfUK0G8JQFPQc+z5U/hVHE4u9o94BCcCuFQlVvkXgq0uga2tBPsFAbnGQKaw50XoT4FfBbkBEAPkyr8acmUJcnUl5NsM4hLoy2L4N8H/fzPxvwr+Zgrm47NPWud3wDdBLgP07b8EeIxZ/SfNPQGYAp5Xrz8FvCWv4vkWiDiAHenf+BfC/qscf5LAWAcYV8MOFs/vzLqAXP4XQ/6rs56FHCAsLmjzdvmJjwHusJbDzaiikZQ59pD6sTN7HQXQYIHQQzMxUw2SGjnYOPLhkRKw4uWQiMfy7XuOlXgkH11HC9x25FCKQilYDMpg/QyszFLlylkgIkJaQJXWkBwgaYPcnqX9OQzIDlwnvLgt1cS9ALXSxf8o1TJnsiCBj8uUah6scAaSXqmVGjMwLyrdkpe0uOIQynJatzTMVRDnU9LnbilMC2SPrGTfurCIFIXKq9di0k8pAcZeE418/67IbX7EgxAbo1lYs4xuqV56QolPnypy50mS//17GUrULaNCZ4GIVvA4DaYiz8gyB+bD60bZ8/d93HSXAgc9V9hvecophNQjCjaYhZUVG0Yf+KwD+yuXdlJjKuXLFEaWcC1IF1bsTcB9kepImliD2kiaW4O6Bm9Da1LD35nlS9eWW9ekseXWNOnSKo/r17jtMZMW1hSJ+A5+gFbvLRvfruAH3o7gR+VwtT4dWkkY6hoYyhrnGQi3DRzoDfduZ5Ve3+o3IGtgR+Wo8sCFDizPuVs7sGeFuIlLDvDhuLizb/fdubToyg8SPA1zTxf0NKen8168i9bHoLo8t1/y2NCpiUu/Cp6ndL25k/hs+sjgkB1Yh+h4a9zX/cY9/C7gdyHRDljjvgr/apBWxfQyFKjCvxoUgN8Fxmfg3AdCnFTQ7r5Cb1ac8kxL+6WujqEr2tZeVYI3WdNoDRwPdiN2IFqwZvKe67j549UslQK7aF8f3edeHOpFAQHHE3vmlDPBKWv+aC2oOA1g+8i5L0cA7UCKoO2e03C8IZff3n9z3C/u+QUrZSXMQYBSCJtZ8ONCuvOD6fBUZDxgKOMZ7a39Ebdx3jspHwBhQ21fVPXTepD0UHl4iBp8mo/AimPYaFBiNYmwHDRu7encQdZWgVkxBG7uRd+/35adho1YgLqjyvfvb8oRvNmASPy7wBx6vqRnu8FdU4J4hOFI99KVdCS1Kmnw6HG8I8Z+JaCpQ0ip47TUo0olmUwQF5yFOUEmY+PsvJs5K3SbHn6K6THjqoQVZdVp3FeauLR0izlRnDMt5gScbhfTfUqPIyg9INnp06cu/nz/jm82v9np+LZxfBYr9VSPBtmjVMFzuRekR6n87FGqCM9PBfH5KToz5fP5KV+cpcro8Z3s7ky8HRPnphG61Lx9GZYz/QB5wP+0avHscK3dUTpVJ40aTZpLPIORpbRauqEa1aimyIrWkXVV1Z4/fy5LUVNXO3qn1VY7rYcHjF6dZsbDY01wg2yduqnPzgUXN0yjmu78OtWoWQ6SgBzg49RJraLTP8awCzznPmv13JTZXOuFiI3RZKAXlCOumIXnVrytAhPm4mZCnGMFktvzqjiMB2433wj214sLPwt6FZctOeRMmDsHORN+I9y9iTvDzZmlbhIMuw9loa8yobooywLrOTYbgNyMUFYA5+F5vj26n8d5yOrCFyklJPiNkRBkNtLVZNeEwt6cpluJiV7Ewbm4zYyqZhPtpfK0aldYVmJ8wwi9axf5Q5h8tnHFqUBqPE/czQTEb2MATBoDsiR3CI81vzrNUPaknD3eGDy3QHYHz5ynT3169J9lwpHmmRFgsz426z1YPDKQAkE16KWMWFd7QHbwB21ykXqBqReYepGSz8DyaxdgFni1AEln8Ez+/n2CfwbPkf2Bhuyibpxb4dmgNqlOST/W0bM9L5YZWqOzOUb7DkGQO2BcDEFBRlgeIyWuq9fPXEGaTxRxVvKJ/BDXBXrwBJl5RGYE2YhpcIhby/QEthWMpAxdSNB8pQE4PgcGuYgpUu6lLsbMBGGTcRmMdr0AhQQIHMWR91PriVLQcn7eX4ktnHx8c/F2D6VgtazUvDJtLblAxUxnPgayVzHWwW0sOA2jJjGNNjwnZR/Mtpz6fzIvpGXQ4QMq7AfA5yjWt0vYmDE2sAnGxAy44IncY6sD5vKCDgoP8OyoUokPqI5SElsKbfsAhhmw2gc8eurmRFxmrxuNEPi7gIIYf+ZS/NnUCp55378HfCTVf2a5gIjphtONgO+mG1HXERzy93/7ZqMxgD+Lh+//9i3ktxDe/v5Q5ph7aH7sRGVgq+nGlFV5zVK6DsZigMD5ZgN6LrueRDld5SEjMj6kmz2AxYzeg3E3Q4yRXeRTF5wqbI5cFqdRfoaJD5dVdVZyuJndpgi1di2Av4tnwHaKU++k7WDoV0bBZcrWfUCB2yy79XJEBmdA5qafqC+ADAtPySSto2UAUEFFTllAygIMJz6D4ZylOvocJsMt28Ug5bgA29zJROM5Z6BwIIaev1EOwTRgupuWbTRlJPEKj93w6dNCpg0aJ7T8mOq8FO43P4oKjQWOX49gseLVMS4rlfPz6rw2rA5J582eATpb+Y3Xa6s+bM5gTTOHv5dZlZqRBrPmpFIRxw7ojAEfNSgEcFiX2QgOz/KblyA0o9q86sGQAhiGB2sjt1ae1t0KPF9l7HQgNGkGZEN2et0G/oSF0wSE4JXUt2a1MfweZIq3a+V7zKw0B1K/OeBqGAPdw3GBNbugKIjsnRblAwrtcz2njPbpkdTHyHfrCGDpPzw8DKawMF47Io3JEARz3M8us+2EIi6lABUooNWCubfMilOzZnYQgjIGPvNm82jHjuzGxA5hAuaX0AyYz2ZFUsAUdv6w2kkcSWQ9/1m9mhPXZIWFWvt/RmVNRzEageWGb7qK8gfeTHzDjQcXC7bojdLMulNTK71o4oaNwCpXrOffgu8W2DD4x8M/LvwRZx3A5PS/y5Wa+11OzBKYM4VCOvz/6YN114HevVrZewYLL4rVgCdV+e5BlqLga82B5LKDhmAlawcWFIZqtEhl8MDKIG6TuwNolHF6L/W0WSRYredOrRzVUU9QkcyVA73UiRaXzZodmeLot4MCZGCLpEvfBzkad5xp9ZkTF+GtTSwEvJ4phk47WUrFRuVcUNS28KDkaKrAzWD6og1M7blDDLTGJ9pZf+0srIjfkXTJ4rNsTrgHeUEPC8vnB9z4tzzxzLQPWoVe8z43cldQOvrA8iXQ50Z+jHyqfQ+paiE19a9N0b+W6Ti0MtfnnOUAOpdufXe4hsv+bIW8XAotDl18EdiziTsI4/CUpRsz41s4l3MqvZAD0nYcL3SjRRnjcn920CuMr4aQwvSwRjzGbRBAR2/eH+6kSa/wto8kTRyTgUwcTHl5SJCVnofhWRRzmNZKprKJrrEC01gdGUOHgfe/hXn5FptTmclPh0meAJSfXEo4QyRFBXmxyjmQmxh0xL2ZOd7xDGlQHPgIJafykD0A8sMmUtlpgPp8bhm9qG6pCEPifpElQH8pvk8meytQEneQXhz09GmuptrgqXODAd5cAtSNBE6/SMi5vIxux3N1+QQDS2fWCLBGf5ZdsIO4ynWsFDoORJuBaAowRGeIirclMaWEcezk6BeoHe9VWknsmIERvUVaH/2M1kcJrY9SWh8t0/poBa2PYlofraB1GhHkPErqo5+ReqfTc54jwafekYj0P97p0ungJpOj4Yk7UJoeLCc1JOEsrUN7dBwrqFQLd0LFsOeYJ8s1teg32GGE7DDKTnb2HixG1qjywKGoIvZp8Mxatc0zGjxfFtkbsbQuSuVuIsbT840/iHqJ9UxG2j9ZajNdxY0GzdUCv9auCn3ViweQmmcOG2TFjpY0Ch8vXHsMtN7PozHicS7tg4kwS/RBIxkA7VfLgPH6KoQ38Vi6UskBEv0pCH4eNvHIQOn01fK2Hphpj4z1j7KD9BkPFaTTxmqKyIz6l8MbfjRItqB+gMI/MgF0vYLFAgL85wT8+LB/ITThHxu6ChjPD/kPNcVxOvw/ieXVYQQ/Gmput7jq/JAQVAqAR99plN2BpTsBAKie4M9nj+Le9R7BvX3P535jJ4dAYFCPKrmG/d+Y1F8OOvhLOSaH1nLuFTi/maLSqfxQGonjPEHdwUVX7pZJN//O/mH/ueVVI1jqo6PNr+OL5NbrklevC9U/Fdj1m1GC2eeW+/17vByw0Bn0F6F5VXzDX8L0AuZ0zL9Dcw8ieBvUY1bhwlI+4vUV2y6iPix06QxMwbI6E2M4J/tMhMrHYfJSfBNcJXv2ARvY2vLv0Q2FGLtAJGUwA0ZeNXfRZ+JTOgBwZOn+AGbCkRb8tsA3WbqDlElXfsC9zNJ//WehybYs/+lGnhTa+HMtxAIiuyzj3dvk+MoaOXWE4dvEMxp1/PHoxaWXJcOo8nO/2JT9YrDMJbrAtWd3imZymKQomGKc9+xnuEMCVl1Fsp/78OjjY/jMww1bC5dPz114dOHxIQt8wMD7DLzHwLsAvF8PAHy37hXnu+8NZ2DORmFh0rOY+BHKvn+nsccu8uVqAQe2+PATpQsMPsizIRK+f3/ibzzehGf5Z36mroCYbmTtBtg6HgTonnmITA/wd16Ecs8jxTnd9j3PQdOcwP0xXPFon6nphlwM0tlSdFO6Nsp4/xFo5xwlJJ1rpZb9DNBeAnTBj+8WIRZbanjvZvfMRThdhFOK/C7eDPCQ+OiD7CWSoHYP0N5Hbb5PsepZl0tKl2dIlbn4dnfjrNFo4EUM9A2JcvPfw1pzLJVKlfMuntdwr8vxXaKURVtigOPylu/DWsojLYKUYRemdZr4NVJxU9os8cmusFgq2V6TBss4t3PhBMx7fi935yyKTOsHpztsjC8QA0zWclGyTRI2JlW8CQPWZHHUycTKXm5cBXVFK7b4OoL8CC+yI5zXePcoTa4reO9CzZpw/SGo03lT/SGUMQEOa9hWUwW+Sk5S2zNYjA0JOp7rqYTw0YSPqGfcHo4JLKkmzkmDaJunoo3796F/Nx+tgSe1wchIJy9K/Fnx6bwCLQMT0NL27T2iird+akED5VXVpz0gfrXvq37PexbSBUEeaLXnc0SP5QLqBfmT0gXpBmCCVCOJF7LEm4OMm9fDB7p0BFFTm4gJm1luw/UG0/nQCcvpTcoVDGLKZOARp7o9dcceZY5zmXTKKc0lOGdPnw6SzcPYOT44E9GuAl2oGgaVqHH33GncoSveSu73gGX8hkNYwA0ZgKGoUgZxDJPcu94AKVoXpcekGfgVFl4Zdzw6+gFBpH4ARaR7pqByAMFW8BBLiGnu3NOJUOWbI8ALsUnuat6MaHxiZQVlcuHxRtRtnm3WP583G5GDF/tWNlS5K+diK/NkmfP6pgdd8b7oxwVrnvxJrPoZKsSNJsCLHe8rxT5Iv0JHAldIokTCeEiW4sx3kYHDbO/QzkXNwmDOxl11JKW5daXyDXJWY5NYcFqpjmhTbQA8fpHhcbYW7JW7aDZaCxfQIfxMrAvqdG4NapOmWi9fEDHULpgIwHAf8aFbZpSYJdEgoAg3X2IWBJsgWdp1XWCXAYgfKR0BgjJ4DJSA4cgoVz4AlQuQzO34ihgWP4NYvrUmsY+8bHSKc+ad98ACAVJzE7GC5M5gYRBGvI9Qxtvp4iLweA//8JfBBAorhuD65xhqEsOOO/DQ8wqtudKrRUChy+jp0yfljGGAR8CzUXJSGhYnfK8R+16LvtSErAO64unS+eo6wYe4aiCqBuy2xV9V/GriVxe/xnku7i5rzyMkicHD4Czvn7KQGZH/UC3jrqlfRwVYvApMRosD4ABFPKopprzqkpwpbXNekL9xgHcbBfCCkQzwMny0wZm18s6sKQhovzakxmYokD14wcZmxRAn3ApwaSugsNOJVd1KNeT7t1ZsALi8ASBLbaMSBz0O5sGtU55I8wRT19I4ewEVHSg/jmywlQR2nWF6NQBSROxNzl1zteRNjpMy3uTMiXhhTjnWc+YHJ6NmmaWWvqtQ13q/vm0AK4p2cTM/SI3YKLuBHaAEcvEHjFhpahUWDl46NDAjC5luwTyYgtm7FCUE+j5rIowsN/t6YeGB71AaIfFhTAOYLmDvAwVVQ4xGwuAFTlEwZU6RNXaDlgdYCGOXMbAmToJSo56X88plJMPGarYZSEgSQ+mMztXJQL14/PFC8ivdn1TAu/+VXA3USIVPnfC17rQrgVtRxdz8Pe6FzORW95Ty8BsQybTjVyFSAy7g1VhhmjJWHFloGfSzhean+AQVgoE7SZKCSTY0nNIPqvJCD3amBxA3+Qm2oYcwmdURzLMNHYTJrGIweva6f1nSdVVSaQenhXHz81y28HYUygyXmtBwe0TSMXO2uoG0RC++/K/ANIqM8Q9qInvKSkOtRrE0yckjRUfRGkt7GMEE6GOCkrjWksW1JeKuPekv7w2jZOBfDeFh8OozJFCGdJ655S8xQwP2bKxcJwfpNvZKR8BSjHyQmfHeyosUYREgBbgr5ohdscxq5bFVfJARLwW7262kKlfGCEdQE8FjaiLAW5tWK4lghZIgHo/oMxikqfkJdXUj4qvk8BfV/ko+jz14fwWv95bmq3CNZIdIZjXYUaVaXtIjtVblEVREjAr8BIvYL5ceMZeCfwHk8X2mBZPnyJ86uNpAD0+Gzv6kKk4RQN/aSL4DlP/oRiY5+/WNTLKNFzplU9L1X/5bRIIvclO09EGipdnOfAkmdTr9gE/9yupLTJd4L1riJ3/1hi/aPInseEiESHL7MH6rCoPHYDBW9gMwxS9X1bV2hT5f1YB++zbezIPBRcp5fIGOQ9eYZj/6lQ3UTUPHIhiVtzf8g9qKI3ePKIKbw9ok2pw9dpwhRgcU4/3BPE92ApwALyWxvQGSzx3wWjG0IHNZi4hcEHfNFvztyZwXb3fBEyqrrmuJ0/mWFaskr/EVK3H6rRu6l25819Zw6HglKfMpN9pTKBwUk+hLYhQFsdN/cdTvH1eknwRGpJ9Us7LfWlv+lk4uO/2wmkUkmLZCyxrxFbLlPBCfGB8u8jfK6VfZrNJmEEHJUvbzbCvu2TjCT2SVDkCKeJGNd7k706l/Bw8v8C5w+N0c3MxtvDaDbjpZ2dO2P52Scsl3lrRa6WqPVkW54AfNFzY0ESyNNx5Opas/1sKOc+tM/ZlT7HxrCovxNToMCdWNx8d+fT33gCgK1Rn8SreVVkTPaKbmx8AF3drchh93UKjNSAOjEtGbWJWUuZF+rs1KP9cmLm9PiKnSTbD3J6rTd7CSBgTu/kx9I1M9i8BCG+VMI1wTvzfGtSvSUrOYGbe79Jk1BbpiZP+JgcYsxyNlbOer467Pjxow0wYqhW/lWai+0sqVwrfzKDttsJLlwKdP85+xetbQDHTGZL8At8SDiqRK2rloJ1NyI0dSvHxeEzeTDEvMjj8tjp/PDubXJWbBTPGEmkWF9KR3WqlSWfqgI9C2Z0/mNmBk6q6duhEsmW/nU5Cha1SolH44MqFptn2Sz0hm0uXM+j0Rgb+6V6JmDn8+fdo8s+tfY49q2ljl6dMnzX8frkovTlXbiEVD9iuDq9wD2e87rvTw5j/uiLHSmR0QS5eXv/BotVZ/6e+HX85LP1uZQd/yBw+XpT5/AbG0TbGHqAB2/PklQDdIEo7pon96moGKX6PYHLrTKa6U8FvaE+5DJCMqlddKtXRYtdJaBSVioaeftvJf/7vYzAY2E4/vp/XPitXPqXoGqJ8P4T+LbTwpZS7pEeSjJxzF35T85ODX07JS9ElBQC19cdKo4Jn1x4jr8FOBrHQjT1co0JYJa9VNK7qkdPAu2BXkA8bg+xmo020bFvUoALJRGlZSI93mPPv38OKcNzoFMxa+LipGAKZSM9cY+lw+/cTrRi5kJcfo6I2J3clWK5bzMQ40ufAh0GSLNnsd2ZP8dWTxXlR+SnsOiG9NS6Y1brGw7+U8b7RaS4UK+18P2b7zN6EtaQwivtxXQOVflw1qAXzazK6HdH9fQsUC6ofiRsOKM+dBut0roioyKZVe/pu2lv/4hX/+OX4KVCK2yPnZ4hlMW3mkfh1WwJL/XFGXaygtVOPZT6mu3MlPv/LLi42mGi834OmHn+fN4S37NV5aJB07UTnTefptzszmCflypEeu0Mh/Onp1RHcaiZQvvRS8Xcj+yYJl9SeZfzaER++/Xd3cY90sjf2RYr8FQ2PF6u2RkplvUTw2AuFAWfWp6p8ha1WdRyHPFfpFuHN1fgB1rlzi3Vnds4C3eHf9bxNGsaHlppdQslTgJ+hYKn8J3Dvm86V4um0pfwWqlspkSKP4Afef4aJYfgnApQI/AXCp/AoAMh+V/+25yrSRa3AJgGzeT8aeLfrjYWdRnusgPl2V+XBbEcRkmZn7utvSUa7cp99+cqorW3bFwHP5S1/6yuVmv3iTG8EKwPikEN+RuXSQS5FJNy91nbfytLbU0gqXSa5KU3G3ZnWaAn2LbxJkO5MaHfxoVTj3fkhpf+IMUqat5dlKs1bhP8392UymJbMUlnea/4xnij72JY4o5K8i9UKRnzEOFkeuT84E/QK2ufzqE44ib1XLq8HJF/nTw03oG02kMHO26R+nmmKLS+NfKrBiPpbK/ATCpfIZNSOL7Dd/gjN+dha10OJqGN/8iEcKJX4FvkzpePbm1xcDZzoNNy2QDsnbVu5tG98euVRttWW10vzIdJbpKdPNCoe6dNaS2vK5dFZXJUWVTPkcvfGA0gvCiNUyshIgM2eanBc/4iBumvLIKUVx11Cdp7SWnmHTlBXDw6tv8FwY3iDXaBuVqpAsrvWTiqurTa1f67a2utuiRjH4aHAlA7U4qqrkJWcudCuTLmK4PCkdT9mrLY9H9E9XYvHI8OblugY6u6ZVnVVtutk23b+mzWm2zelf1WaiJVYhZlVmGoTWy1IghTOsJlZhEeRyYTE+JHY+eL9/svd2/9NjlXXU6isVYtrG1n4f93KzZm9OvCVRN9QE7z8/wtk/OkWTfLM2LONMrGBnWcpsR8Kbhmv8nv1c3iigA+vb4pY+MPMr3eyARW6dMyVZXEbCt28ruYt28QNZlpqGxq9y1eMNtedLN7pw7Bd/6y5nRuGnIjsJz/JH8FYWEJ8Xe6xbEUBV6RU/+Ud9csOSI4VYSjpTGgaeLgdRCGLwPGtDS8n2Cd0yndn+FDl4n2blgQur/JNdDSzXQEc/3momZ2+k//+Y/D1Mqnixgly821+X5Ufu84+hSmciaQkgzH3FONt1/o7shgyaoZNqlkcyxT2nmkSRKBLgpHDTNoanOBi7hwIGPxQuvhUs4bagJNOhuj+FEEauSbtEBYw4Gl+HHK+RcHXv/KFaeK+b0Fst3HLiuxVyA41FUmHBI6ciKu8ql0y8MBAVxY4T2e60bOJlyo9/6yoLUl74UTAjXVmbbU7HZf1jOCl6I3JUZ6zAjGrwyvCfMfWGXEQZimRM1mB2gSYygzurk65BMuBPWUusuCT9HGkcK/b+NNgUQLUMs6Izf6ySGgUAV8mNIpi5z6JmpQKGsZ7pCMEZUvsqcZBdRsfMqTLcaI4+IiWkf8nINUmjkSt/2ciV35hDog51BeUq2l86i49zQBYx+mqSVjtS51zScwSNQaCqwoKNPp6NkkmVSa5RpX/2JKqskNREIbUfVUjLMwlyW3+cAH9zGlcJoFhZ/aoEyqn1Hyh0iS/NwZDwdORoRbSyU9LOTcnvSRh5BVSmUDirLBMjjg0WTs5PS9ncGeQnYXKPbDLgNYyZKcfbMzM3o+AH54WZSwQXFDJrbc5WJPVHyj8nGKSIvjaypMyVOGBDUP+yVtergWTAP+Wniv1HuJaUH6m/R0wCnaJdKeQms3mN7xJGuRSj5JKd43JaZSmSDgymTIvJU343PDkAl9mW7/1guz4frmq1DdFFvIEPmnApXhUdKJQ488NPlopavrAbrEiZENbVG53J+NONzqTNwqjyQ5Kyxz2FJyQNedXxUsE0MDcJ5MFPWkm5QOLMzEE7fCt/sV5LTuOhV1fMonZUoJOVbqOV8k1dRWYrqz9OqRo3wa7wlXUbGrDdP9YJyVPhs/p6MUSoFemnn7QubgrlGiAvfrq4f/Ohf7S/+Slety9VpQEs+QIKG8ri7gwHI8u5Qs5B8IhsC5xr//bxDVa+HHTlVuRSzdzeK9Vb2rVL6iztX1L5pY20pPzSHh+V/9EJtqzAygQBVLKfDLFWnPrMlF2O2lntnBf8uJyz7KH8kZOfJpC3qd4cHeI21YpC4uzBYz59JoLCVkbmGMLKxvDDc/94Y8mxhlUoIlGz+uuVT1Bp4B5nGG160CVGluxivHeZLjb9ays9wH8SfszavXZQImPpx3vgLctfLW3IZG7eR7s+fpk7BPFcD53AHZU4GcV6WdVzTrzsRmpC7Nm9YqLzwo6iKJbbcE3L4Sxs24OJI9Lw2MJFBBAsnwKoO/kDJ+LrQNmj+ymzVOLPLpf5uv2UWsWmKpNLXiqtiOiBgS99FCd1omRvBB4Nmui9IOOpIev4p1XpLam/VV2sjGcK/AjL18l3TqwJdnsbXUnwtxIDsEy+GY9p1Ul2hByhQR9WIuNfMsoiVwoP9Qr0/mhzrLVi72xZFi3v6TGEyy0neup4+6jfP3wEzB91KXC4VCTF5lJWjN2ljBTbS1lZTC9lrkB9YfXxyKez5Cf5+O9yIU59KZ5ca1dTk7emaO2GoVSd5UDyfLl8MCeUL8S/1xS56tTU6miwAo8oqPPD+gP3GzMHwnKR9LD2WvrQVqXSXd1ufDBuucYjZFZeulwTL5oggl6qkOxTLJMj0f4PqFFYTfJywP0PKqVbNz/ioOLRg0fwmDlYl0n+hUH/HoMuM+Ij+E83nB7B+hISVyGI2yrWXRXSuRSQtbTL9chWdz75ERS8KW4ZPy5+VraVFT5pgYLoSTNygidNLoidNGNJ6Lzx/lkiJzk5888UOZkTOUWRk8FeKnDiQRUFTvZkz2MC5/Gw/Y1VHRYPDPHhX098q26pA/Ix0Yd+xQONw5QfG0/3V/r8UxCupPCl6xBzwjEtnBeNbwrb1hnuTLJ+gTcf0u8S4sfBxcYO27ObGEVf3u/vnkgnb95yWrm0g2XX9ryRX0JHUuxl0005LmFPx37gRpPrNfG9xe5a8unFXBU9qTIzvoTZ0jOjAUvm4703h7kKclIhcNA7s8arLqzhjcp3QMUADGddcBZ55bJtCJ8xtkGW8xpazqKB1JSmL4rh5S610lrojHOQamraAp8KW6MvNkIb2S84ZquoKXJCPAGDZfETjKU1+NtY2317vBY49lQMIz0MW6Ex5FpKcUbFqKVBrkSKpBPkn7AkKciKcX4rk4/nj9f2drCRjBgo4cKAU+IwgFwLRopCpVFfOxTDyByFyhdP8aVCcXQ5pcXJe5grniEkDYpvIz+l5Ym9ChVSlOhQ4RiPw62dLGaZXtJzdIWqKS4MrAr0zgdjMlWTMzH5qhk6asVV2QvYLZz3KNRLsdGO6+0kB6DSuumhqHz9DCmZcf0TUHlpTVSAhTophjpQJ/16egFN4iKqQuW8OGD1mRUIr51F2F1br62vNdfW6+vdNdfD4LvQaQbOcD5w1ojkG2tr6yFkxiyTXnhO3LPme01/NMJSHpXy75oTF9JRoq3F6xzMHuaySXJBjyMf82TIA/bHq+Wov5k9cC7tAGvYt464EKlRWpKLdSUlhPSLsWv1tc34S6X47WlodW0W+F+cQbR2uVjbgUI+zLn31V7RIp2MoVtnxKdl6XYvL3KG+HHVVel43qhw6H7FEXp6njrQoz+YX0NF3L3oTx183FrsDculi+mwVNlI3AgwikGthpfv4z3Cg6dPs0IKL6L7za/LSvgV3spD3vVufdvsnp2d1duK1FExJtBQJa0t1TVdqivwq2pS3aBgQUWW6h34B4kdDG6Av5DMbyIvKaya0IImiUZ0XVIUSNVbErzhNrgiaS34iyXxF2rRX0XlROwV3+FHNylZN2ls+Aqjw78mpxlUxDAkQ8H98hbC0GpJ7bbUMiVTlxiu83Npi8DEERGYigEPkoZ/FJGmdvCtpSI08FdvYVOqZKq0zaljuY4uMAGvdRgh/gBUnGzo9N5S4h+TYIEHo03vdRgY/ZqyyKh3EHadf6Eh+CXwDU7hAm2RrKn02oJMaFAHlKsE2TZCho1RGAGgot4GyLCwStNE8Ip3Hob41Yx4GCYlKDxsrSOSW4AeqEezTZPNL9BDqyNBvq5g9zuEWHhtmzG4ov2O6KYdd6MLPLTVIh5MyDFaPES9Ew9alzlFUXLACFgIFFNKuuAuGQ4cncxpLV0CUoRxdxiIumLiG4hJ+gHihGSAo09wIPpUZgQDoxgl+jVM/mUQ8Qk5AcGhASsJljVK0Xi8VA6mSDqjWSEaQ5aC//MPVuS+iBCx4Tb9VTTRD3EU4JuTmaDggcilw+SnCPJjcoQxwV8soiNQu/+NgTJ5HDzQFzhQ2rY+03Hfti3CEJGiMaGFh/9xbsWsakY600SwONNt3H5KybXOb3XOypG2IHVB+BlOQN7Q5Dy5yQngbaY6IC0Y8kvGrRmzv8kQmUjX/Atsi3giDKoxY4N8aeFfVWCPMmFkyO7wlwCEXxSBHalNf02d0zogPU3xl9LgF0pgV21dins8l/YYmSw2ZBqPTPFhAtmvaORA+SzZUT7LppT+UDL8avSGbet63PbrX4caxD2VARmvoAytg1SGxLqJklVHqgJIOviO0rveNrhXFJOoUIBBkdFpIpnAJPwPExRNUqktEIZGzMD7MVSx9IAnUyUOR8ELP2YMLhK6ZrIUlwUkKkl1zSAu0gSmDqhN0xAEBQ9tmDb4ISmFv9wmPmFrbcS6wZLeJKJCyAyZdBkSXQc4lFUZ6ixiVE7hfFE6qS7aE80n/YkB8HB4dDDYw1gS82CR3mP67sSCN1E8qmB1ZHnU6u2Y1VukPGAEwMhEZChoSK6yzCUh1CI9RAzTlrg9HMEbGoGixfzXlkxmvBbzmx4L/Jj/llREy5TqBd3158U9dGtKPAoYVOn//K9SjBkjHoDOqljXfn9cLCgVjbSyguTQIcJvxZyn4rR3iJCxaovZD1lDxRHGRKeQguvokqBEJkEGJQMYg8kgpxiASaIfngyDBNPbJTpAMvoNA4TzFVMkcz6aWXU0AEhZ4DAQTIMwqlFh7BXHCMn8g9DTVLzDkYE4MKlIB6lDIboCq1Iomw694kQb9COmxuSpMXlqzGRqTPHWYZJui7khAEBma5SNP1QeHzr4iqymcdv420JdA7xIaERIVewe3kDgA/m3UWCBeWKSeQi01TIFbR0xqmP5AA+EaiEBWol8aAmLjuUjSwSB6g6nCDLSRToxPk8cCw5NyMEiVlGgGfQOP2jVQrJCkgeK4Xsb/7Y5DWYH48lNiUlSRZygJd4ixjakVixKjmO7odUWIhMlqapntGsL7Skw+nB0MEoCpt3hVQOzgBQDKXhEGLAIe5sI9YSxlxipOlsawuwzYgukpbMAYFVEqoLkkkzvONXwo6gimbKxa5gk/CuzDjRwOACiLCB8HzOJmAdiD4PNd7YVYt4XrF80gzknLkjVRBuiUejkQ7y2Ep3gakZFg5bJW0GkY3qHNJKR6cMQFqssxYW4jmihnXTxkUWunPBuh5UNsShyks5SvA7WvNkhCkSbyIhltM7vOucC4XNpPP+KA23RrJMFzmsw1MzEVrQKwRcCn95EXlJY1Oa24qa5J+42HgUPikcYD5jHL6CJ4QOATxlgXBfSgHBJp4tlA5l5RmqCABMylGgtqDQwlVagdRK/ZMu2CZkgiVqxLYySDFpTGdUAFEMIFNaiSDwM9kAZo4uFKDCpESubTzw6RB2vM1s022wgoQTTktEhPZtozSD/YoyXQv1RvOoZXlStJgKVO6zzclgTUoE7/FzgIZV5SGEBiOWZh5insHvgZLIYiajaLE5AFqs8h2wIoJjThMoSS43zZOWrkrZqxdZkaZ3Uqyp6UtgSVIj0aAFAvF6qsxJGE1cRxrlCJ2IUtntpci+6Z+eS/N/RilASsmM2U4REV3NrdJGKxbAyornDvEvmsEkazxSIU1nIIpOy+FOYRpRObuTiFaeybdIPqV14UIny0c7FRVY7tsd1WkvTxBli4lor5k2L5yOmHOrG5M5i2WswOaEHw1RSMx2xCaa7wpID50osMJkvWcq1SP6eszuohfpVob+6zrzXbiGPpYYPWhE0arZ0Ufu0cKA6DxT0MfXQRsWMoOEPAMrJIC7wvU3X6yHjq7yslUk5GTRcVaw92mRUq2wG449JNgNLb/hp018qijgjJue/lIYsbwjGh78k
0x0fad8c06…65d0·#25,733,886·0xd61471ee…5e4c74
Against a wall inspired by the volcanic stone architecture of the Diego Rivera's Anahuacalli Museum (Mexico City), 'Luminaries' displays, in flickering neon letters, the name of a person considered essential to the evolution of generative art into what it is today.\nThe 100 outputs of this project thus create a record, permanently inscribed on the blockchain for future historians, of the individuals essential to the history and evolution of generative art. This record includes not only artists, but also other figures who have made this ecosystem possible and who rarely leave a permanent trace on the blockchain, such as critics, collectors, writers, developers, communities, curators, and gallerists.\n\nThe title 'Luminaries' derives from the fact that the names are literally written in light, using neon tubes. But more importantly, it refers to the idea that these figures are the brilliant minds whose contributions have enabled generative art to achieve the recognition it enjoys today.\n\nAs this is a living ecosystem, the value of each output will continue to evolve over time, as each figure's influence and recognition change, creating a living, dynamic, and decentralized record of the generative art ecosystem, where its changing dynamics will continue to unfold transparently on the blockchain, offering future historians a unique archive of its evolution.\n\n'Luminaries' is a living, dynamic and decentralized record of the generative art ecosystem. A portrait of the generative art ecosystem arranged by the generative art ecosystem itself.
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=5,show_debug=0,fn=!0,x`Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=1,show_debug=0,fn=!0,x`Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=2,show_debug=0,fn=!0,x`Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=5,show_debug=0,fn=!0,x`Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=4,show_debug=0,fn=!0,x`Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=3,show_debug=0,fn=!0,x`Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=2,show_debug=0,fn=!0,x`Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=1,show_debug=0,fn=!0,x`Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
9)*yn),Un(i,c,s,R.random_num(90,,[1. q .5],[2,8], blendMode(OVERLAYhue(y)+10*pow(-1,o),saturation 1,8"a if(0!=wn){n=get();e.image%gn.canvas.width=1 }noiseDetail(8Bgn[sn]+", ",""])+ln+" "+pn[un-1 "Black and Whit1setAttributes("preserveDrawingBumance!U w()-u}funct!("2 ( Title (day)@|'-': L!5 ase/reduce b)'F#} k' - A gendB 2@L by Dario Lanz+
let n,o,e,r,t,a,m,i,d,l,u,c,s,_,h,p,g,R,f,x,b,w,M,y,E,S,v,k,C,D,A,N,T,V,O,B,I,L,P,G,F,H,W,z,Y,J,j,q,U,Q,$,K,X,Z,n ln,en,rn,tn,an,mn,dn,ln,un,cn,sn, _n,hn,pn,g &and_loop=0,show_debug Color film stock",L Oxford blue",P@LADFJMNOSTWabcdegh Rnoprstuvy0123456789",J ];function jn(n){un=int(n.substre=cn;o<3&&(o+=12,e-=1)`s@ r),o.image ?),0===t&&n.clear()e=0;e<r;e++)l=map(noise(o,u/a c? e=d.canvas,#J,a=document.createEle@ ),m.globalCompositeOpeStyle="rgb("+l+###aa Mode(HSB,36",b=null,w=PI/180;"stampg,_+=p*cos(l),h@h=2.55*_|0;i[a]=h!&;W.beginShape(TRIANGLE_S Smooth!u Enabled=!0 Cp5 Quality="h7"@}ank_#"+g+"_by_DarioLanza_frame9d,l,u,c,s,_,h,p,g=o,f:;mn=g,dn=nf(Jn[mn*+N=hn[sn]+", "+ln+#dg Canvas(Mn,y : pixelDensity(1;V),Ln="Chestnut Brown"),E=w?(T="Structural red-s"[ Green pozzolan _([M,y]=[y,M],T+=" h+9. Double joint",ink#? lor":Ln},e=#I'
## **Frank** "Frank" is a long-form generative art project inspired by the fascinating *"Diary of Anne Frank"*, one of the most influential books of the 20th century. Built entirely in P5JS — without photographs, scans, textures, shaders, or external assets — "Frank" explores the possibility of creating images that feel remembered rather than documented. Rather than illustrating the events of the diary, this project explores the feelings that live between its pages: confinement, repetition, waiting, uncertainty, and the quiet awareness of a world just beyond reach. **The supply: 163 artworks** The collection consists of 163 unique works, one for each diary entry written during Anne Frank's years in hiding. Every piece is titled with the date of its corresponding entry, transforming each output into the algorithmic equivalent of a single day. **The material: Concrete** The visual language of "Frank" is built almost entirely from concrete. Concrete carries many associations. It can evoke shelters, bunkers, concentration camps, and the architecture of totalitarian regimes. But at the same time, concrete is celebrated by the Brutalist architects and contemporary designer, who celebrate the majestic beauty of this material. In "Frank", concrete becomes both surface and metaphor. Stains, cracks, erosion, and subtle tonal shifts create walls that feel weathered by years of quiet observation. Each image appears as a fragment of an unknown room — a space that has witnessed days passing without ever revealing its story. **Light: The passing of time** Light is a central actor in this artwork. A beam enters through an unseen window and slowly travels across the surface before fading away again. Nothing dramatic happens. No characters appear. No narrative unfolds. The work simply watches time pass. The artwork becomes a timelapse of a whole day passing by. For someone living in confinement, small changes become significant. A shifting shadow, a patch of sunlight, a distant sound. Tiny reminders that life continues elsewhere. The light in "Frank" points toward that unseen world. It suggests places beyond the frame, experiences beyond reach, and moments that disappear as soon as they arrive. A form of nostalgia for the present. **Anne's Handwriting** Anne Frank's iconic handwriting appear throughout the collection. Each character was individually extracted and digitalized from the original pages of the diary to create a full typeface, allowing the algorithm to write using her script. Each artwork is dated along the upper edge, echoing the way she began every entry in her diary. **The random confined walkers** At the heart of the project is a system of wandering movement and invisible boundaries. Random paths drift through hidden architectural constraints, gradually revealing the contours of an unseen floor plan. These movements are not intended to simulate a place literally. Instead, they create a sense of motion without freedom, repetition without destination, and presence without visibility. **The rejection algorithm: The code becomes part of the narrative.** To maintain the walkers confined within the floor plan of the house, a code structure calle a "rejection algorithm" is used in this project. But this technical decision is also a conceptual one: Nazism itself was a political version os a "rejection algorithm", that maintained those people confined and eliminated them when they were found. The algorithm acquires here a truly conceptual meaning. **A universal message** "Frank" is not just about a past war. Unfortunately these realities still exist today. This algorithm carries a universal message, written in stone, light, ink, and code: A call for tolerance. And for freedom. **Controls** - *+ or - :* increase/decrease timelapse speed - *s:* enable/disable lighting and shadows - *w:* enable/disable walkers - *0:* restart day - *spacebar:* save frame to PNG image file
0x0fad8c06…65d0·#20,112,232·0x730b5867…17f407
[PPPPPPPP[PPPPPbAddress: call to non-contractAddress: call to non-contractAddress: low-level delegate call failedAddress: low-level delegate call failedhttps://arweave.net/YnB-58c1lJ8w71TaksLyB9LHxdDPfn3bhJlx-XPTAg8https://arweave.net/_c8x5zus8q0sZF4VAiezsIQcQNQsNuQVUOe78O6H938https://highlight-creator-assets.highlight.xyz/main/base-dir/38ef0a40-93a4-4e1d-9f0d-467922123db4/onChainDir
0x0fad8c06…65d0·#20,103,944·0x53a2df4c…0dec00
[PPPPPPPP[PPPPPbAddress: call to non-contractAddress: call to non-contractAddress: low-level delegate call failedAddress: low-level delegate call failedhttps://arweave.net/G7lLNSJ8Wqvr5b4J_xMtRkh8urBCnUZQL11cEB66bK4https://arweave.net/ZJI2B4KbsVjhIG8rb5TkbTyGWi1_A-moNOjVsCCnKJMhttps://highlight-creator-assets.highlight.xyz/main/base-dir/624333a6-f3ff-486b-9943-63aa1a2221c3/onChainDir
0x0fad8c06…65d0·#20,103,911·0x079a80dd…bbbb17
[PPPPPPPP[PPPPPbAddress: call to non-contractAddress: call to non-contractAddress: low-level delegate call failedAddress: low-level delegate call failedhttps://arweave.net/G7lLNSJ8Wqvr5b4J_xMtRkh8urBCnUZQL11cEB66bK4https://arweave.net/ZJI2B4KbsVjhIG8rb5TkbTyGWi1_A-moNOjVsCCnKJMhttps://highlight-creator-assets.highlight.xyz/main/base-dir/624333a6-f3ff-486b-9943-63aa1a2221c3/onChainDir