Topologi Tree
Topologi Jaringan Pohon (Tree) Topologi jaringan ini disebut juga sebagai topologi jaringan bertingkat. Topologi ini biasanya digunakan untuk interkoneksi antar sentral denganhirarki yang berbeda. Untuk hirarki yang lebih rendah digambarkan pada lokasi yang rendah dan semakin keatas mempunyai hirarki semakin tinggi. Topologi jaringan jenis ini cocok digunakan pada sistem jaringan komputer
Keungguluan jaringan model pohon seperti ini adalah, dapat terbentuknya suatu kelompok yang dibutuhkan pada setiap saat.
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HISP+QYP+wkNDQgJBdOzODfQOT46LTUqIT43yd7FYkxslTkqQqham32wo31SIXp7kKyfywwC0N1ZFlewOzM9wK9vgW7PEvyAosyAosyAoqyAopyArJ3xPU3JQeEmpfVBQXFakBwAEYQMJv1H8D/3tv/wTpf5M6QjqO76Tpzm+//TRt546wkNDM1IzdabuMdZLx0UGJcb4K6bodSa7JiRKVwtRLs9xDbaqQzlW5zE+KtfnwZM6Rg+lVJWGtTamtTamtTWmtjRmtjRmtjZmtjZkHmjKbmzKCguxzc6OCg1wADCD2PoD5Z5f+VFF/6vN1hhUEHIAAYBBP37h2vbS4LMA7MDYiLj15Z0x4SHiwV2pykKfGPDlBGRttp1KYSp3mqBULNMqFrvK3Qvw3NFSH11dFVJWGNtXENdUkNNUkNdUkNVWnGNVYs6OudkdMjKKpKTt1RzAAQRq6Sb2BJbh/TtXE3xK5x94n/07m9tib9V9SN+i7ABgAXhR4EOHalbam2uacXbmh/sGxEaFJcaHJCf7O9mbREU4JcY7umhXu6qUemiVurouVLvMVsrfioq0iwyzio+1CA81DA81DAy1DAy1DA6yMCgncHhujkEjW5GRHR0a4gWigCS1LUiJ7F/ZTSv2xu6D/ToihSW1PB00RLM3gespY3nTl16s5mXvio8JDAtxjIj1kTqtjIp3joh29PNYoZG9JHGe6SOb5+6zZmeJ0+NDOI++kvX8i91DLzkMtOw+1pB9qST+0P9Oogy27jx0pTUz0rK7aFR/rB0CJPMWSFKkjBEbsdfK/RXP34vknSP+LMTyDQAAAIHGq4043CMBS0H1bDwJc/fVyQ3VFVJhvbJS3RrE1KU4ZG+WkcTXzdDNTKxfLpQs0qqXREdua6+NrKiLKi4Prq2Pqq2Pqq+Pqq+PqqxKMqqtK3t+cGxIsz8tNCApwFXkDYgngOeDEXurM39T/z9Vbjs6B0cRZCkgDzxgQg3MgQEdbW2tzbWJsoI3lsqQ4TWqyWi5d6mw/X+WyRK1Y5ipfGh5seXB/auu+HQ01sa37drbu29nanN7anN7anGnUgeZdVRXpIcHK8tJdEWFeDNml7bpN6nUiK/xN/T8R/G6B/z+BpNC/L5ZGLI0YWmApgaXAKJ4EnhJEWgRBAJE7dbzFQ7U92M9xT2aQn5eFp9um0CBrjWqNzHlpUrxLZJhdaJBNYpw8Pkbm72MREeIQGmgbFmQX6Gvl62keGugYFqyKjw1ITgz193EFYFjSgBgaBHiodv4L/ROhux0C3CObA3iyqP9+PwXjO/9ZtMLRIsuIHA331BthkYjSGUDgbl0/X5y3M9hX5udp52hjJnNaLXFY4Wy/PNB3e1VZYunemOrylAPN2aV74xprM/Y3ZjXVZbY05tRXp9VXZTQ35uZlJ5YU7Sot2pO2Iw6AM/R0EjotTzOPNnB7UJ/8z1K/905vzPmwm5T8SSLTay5EjwFRFKLxM99+uq+uqKYsq6ZsV86uyPw9MVnpYZmpwdVl6fVVu2vKM8ICXbw022vKMypLdpYX7airyCotTK4qyaiu2FOQk1pWnFtbVVxZtpchdYSum6cpEEFkBeMmJf/tJiu/o37fbvlLqD+2jOIBVv6wO2sJfxKwvRIoAVEMoijOoKW07RzeCbweRAJEApBB33HV0HmNJzrwrut5uxMr9u4GQc/h7RxxB3g9Y7gFrBZ4Hc/oWUpPGro779wAkedpiiFwyoADJ/62Y+l/oQdZ/F+buT0u6n8wcUQLxnHuoW3FuOXXH2ydAR4Xe3cH5URAwt0N4ThADKXvpvTdwNMiSwJHAU+XF+WmpySAyHCkHtF6QAxHagExwNMCR3IUztOEwFIgIBAFEAUQkMjxf7R15j+xdeNV/4tu+UuoPy4Pf1/k/4GMAR1L/RbQ8STwJAAPIgU8gYADQCCSHNWtEwgaUQxP0ohiAIkcQQHLgyDkZ2XtTEwEQeBJEjgOOE6gaWBZYFkQ+burVTmepgSWEViGIXCeZnia4SmOpxBPCTwlGKNInvoPr+XP4P9CD/8kUP/9xTM4+1CiCJoiaIpgKYKlcI7COcaAGAMCHlg9IrsZnkAiITA9FK9ngQddux44AAY4nNfe0XI4BwgykjPSk3eKDKL1pPGVIxhSq6d0Bo4icW0PodMyBE7jBp6meJoi9TqGIBmCZHCawVkG5xjj9xoPHqb9fwb/1FM3ru3mWOBZkWeRwHIiw4kMAkoEShRoXqBZxLA8zRjtlSERYSAJA04YSEpPUnqaMNCEnsENvxdN6UlKT9J6nNbjlJ4kDCRh6D2T0DOUnqH0DKPjKS3N6hFr4MgeitYxAo44nKe0NKNnyW4GEFBauutmNyKFgqzCnIwcRCJGzwALRDeBSGTo0hE9BkACQ5A0TtA4wZIUS1IMQeq6uikDbmwGpacpPU3d/V5Kz1B6+m6rSMJAUnqG0nG0lqN1DK2jaT1J9/4jQ+kZnkCINN73HMfwHMNzjMAzf36m1zs58bioo39fHAs0CzQHJIsoigCRFSlcNFDAAd+FA0mzuk4AiudIQQCZ3Nt8m+OWtzev3bDSxnbbmlWrLc2t395qtW2bk9ka8+VrzVdusnx7u+OGrRYWb5tbvb3ZZvNGuy1bLDebW2y2vJ+2/e7V0mKzpeUmS4vNlpZbtllu2Wa5xeruQa8e8CGWllss7qttWy23bbX6k6w3rtxiuWnb6lVmVtbm1jaWlpaWFlttLDc52Gx2st1sb7/Fyn6rua35VhuLbVYW9lbmzqsXrI8JiAMEuN7AIRanqS4tIQgACMgeEEngcQAWeAYQDyDCw4J/VE9aH456e5dAIdARpCAyLNUNIgM8cB0EsAAEi/AuQHqa1vICctUEnXj/K4KjEHAAvIgERPMcLRIGAYnAApAADAANAAAg8sDSgLiH3jIdPUAPe77wAPEAAoDIGcgOBIyB0IMIAvVbZgE8BwIDIm+cT6zMqkoJTia79LhBJwLPAerS4bwIiAGeAKDBGJcgFkiKJ0j2KaDOsyJNAwLgBQ6Aud12oev2DaAAGBBxQAYeRB4EimMJg4FYvHjtqQ++7dIT7d1dnZ2dLEmBAMCKPbd7QABBAEaAHoolWCSIwDEsYzAAj3iS5Uj+39eDgqmHPf8BMbPY0dZDGGgeETTfzYKeZPQgQkebQdCBqAMwkIDrgNQCpUcUIxLC/uL6OK9QXqvXdd5GAmmgdTRLiQCkjgYWBFwUKRAYYGhkoFgdQT8C6v9Rvs4/lEAEjuP0+J0r184wnJamSV0PunmDIQxg0APDwNW2mx2d3QjA1s79y2+u6FjoMAi3O3DSwAMNhtvddJeu5+adG5evIx4MJEdyAisAyyGKoIF7uBncR6gH9Q9N8ABA0F086K63n6c5PeKB0ImMFjgt8DoKGXQI7+FxHUswyMBX55TF+YYDDyAKNGPowbvE3h9xABAAGBAogTYwJEnjLEvyPMc8nnz9YagzLCAGBEPbzZ/MVs9VecmtJVIndYSr3y6F7x5Ht2QHt0gLiZutwicyKWfMpLdspJEWsjhLeayjPFKpCgnxifRXeSYFhy2ePv3Ivv0sSTE0IlmkJ1iaAwPJkRTPUA9h6I9QD0ojaQqJABTXhUCPc3coZBBEEAUQWBA4EPl7vzbS+8To46Nf7IzJAAQgAgLoMvRoiR4d3oXrOhFNABIAAfCIYRiSZ2mB55iHmwl+VPn6Q3h4keEEXM/hnQzV8bbVlhNffhOTVROWecwj8aQq7gPniCPuO0+E5r7vuaPFJ/nACqvkberSoJxvlfFHfRJbQuIrY6L27IxNO1zXWJGVVbx7N1C0wIs8Aj3BcgAkBzjFP+zm3A/0hI/ifMQBiMALSARCS7V1E215JblJ6XkJqRVR8ZWR8dXhiSXhSYURKfkRyQURSaXRSRU2DkFzF1imZNRF7SiNSMmPSc9J2rU7JjG2pDi/sqSw7cJFhFMggiAIPCAeRJ59uMd6jyGGF2kRGBANokHLma23j81+Bxu6evCM6GFv5Q5eXIW9md/fdO8ws6KhpntM5qb3n54+cFbWuI01g5fsfHZxODZmA4ZNen3qgtWmKzJiYiqy9wDPIYoRBSBoxAMYOIFkhIf9+YUH0X0k5ws88Bx0d2sJqrOj5wrBdfmEBllJfOW+2d7Rre4x72gSDqoTD6gT92uSWtwS3nFLeMfMboeZ3Q6/HSdlofVOQSU+iRUhqflBsfEeXu4SR5vTX3xJdPaAAIgTkMiLIDwd1LkOWtTDnZvMOnPPhL3fYC+ql3ufed3l4qvKrtG2V8fKrg2z/mGS4uI/NDdme3S/5HzlOfsfJ8u/nqN+f/q2bElgycU2NtAvNCogsKmsDBBPavUiAoYVOQA9xVKc8LDRzf93hvi/Ox84Gkic4TgDAMEDayNVDpmweOJc5Yum0WOWpoxcnjpi5Y4RK5NHmu0YbZYx2ixjxLId2MywEcvSXliXM3ld6rjFniPfWD9xpmly5m5XleL25WtA8sADraNJkmQY6mmgziDURQEJWj0s2awK3/st9mb4a4ofx7rcMXHW95NSfeT6PvLufvKO/rKuQRL9IAmO2bdP9DNMdv1hxJqcTd7lP7SBla08IiS0ODsHeERqcZEFlhEYViAphmaZ/2Di4q+U8dE48AzO8zgC2C7xwgbOXSGpeEt28k3FF6+5fjdF891kzXdT1N+/7Hr6ZdefXlR+84L8m0ny0xMdPp+8/cgUi+IB0+3i9x508Q4ODgm7fOYi0AAEiAQA27s9+VNAnesxAMV36fiFm5XBxd9isyInq84Nd+nsrxQxV8A0gLmLmDuHaRDmCn1UgDlzmGPnRK8boywblmnKborg5OpfXFy6NycPeJHuJoEBnhU5hqcogmGoJ6x8BYABkQJEUQJLiQDbnAOwgcsWSVpfd/5qguziSOW1wa43B7veHKq6PULRPkzZPsq9Y5imY7QGf9alfbzzL1Psjg2c55tc84nEJywwNOLymStAAeAABgAaxIe/2MdCnRNwAnjUhfOL3laEVnyPzY+e4vbLMFUnpuTuUkeYG4dpEKYGTAWD/AGz7RmlujJwU5WpW8VVEWxV3gkpO/bm5QMCpocGBkRaRAzL0QaewZ8s6jQADSIFIskILCOKYOkUig1cM1d68gXHs8Mknc/ICUzJYkoWU7CYnMfk7DMefB83NNANBsvheZl2kvP3JovjdjafdvaJ6KVOAhgA9AAUAI1E+lFQ/0szN4HmWS1NE8KNTmbuemXQ3u+wWTEvKn4e7HTLxBX6aQDzAMyzV33c4BkN9FFAPwk+Snau36r8TcF1P+vBxTswPDJsb14uCL9RFxmOp3QCQ9xdSPxkiLpn673UzZ3DsQEbZ0k/HuN0eYCMxBSAqQBTAaYEzAUwOWAqhClFTAF9JTDCiXrB8ewg04TUfaedfIKDQ0Mun7kEJIDuN+oC9eTn6xQgHFgCbnbAW+v8o4qv9J+dOc3lyhi77mH2aJAj9HdG/aRMPynRX0INcEaDnBBm0T3Zg5zrf3nC5nyLgMJrNDioXHakxhXlZQMCqoc1XoDIcCKtFxjDk0ZdYIGn71IHMHcOxQZumCX9eLz0xiDFXfemBswV+irgGRVgcgpz4TAX6O8Mo5yoSQ5nhpjGpu//SurjExLqe+XML0AB6AH0vR7+YZv0GPJ1gQGeAJqE63fgrbVucUVnhsyOmyP9/kWr85OcuidI9GNlHc/Lb42VXx/ncn2CtOMFSecY25uvSC7Oln/48obkjYpoPcDblusS4wNK87MACbSWA7b3+kUKF1n8iVpkxDOAWOAY4GmK5ygEYOkcgg1cN0v64XjpNRMFc496HxUMksMgBYepDJiSHiCHIc4w1ol8xemHkUsjsls+VfiqQ8Pcrv58GmgRcBBxEFngH/5iH8O4LrAcSej0RPeFW1dnr1oXu7d12Cznt5zqppg3TTA/MtbiyBirA2OsG8Za14y1rhm/rXmC+bsvW301aePx1zbsnbE+dIuTxydff+zr45iW6FeWn6nN7sQAACAASURBVA6IZ7Uc9FatCIjGRZZ80qizPNAsMCzB8TgCsHQOwAatmiM7Odb5vIlUhyl4TClgCra/jBwqMQyVdveT3+qj6DKRwkh7YYJd56s2n45Y4LW78YjKVxoeLrt69hugOSAAGcvwOe7RzMP/xdQZAAoAN3Cdm2zfLjlw+M21jjZ+xavlhStVVStUVStcS1aoC1Zoclaqc1aqC1Ypq5Y4NG5WvmOhKraSx1k7y10UdlmZEXvSwsryMkDgaR1zd+ZE4Blc4J4s6hwLDAKKA5qlWEQigG0Sb2zQfFNp7Us2h8fYfTHc8fRQxx9HOHz/rP3XE7Z/Od72s9GOHw13/PR5+zPjrU6/bPnx6+a1w2fYZ1Q0q3zloWHqy+e+BwYBCTxppI6eLOocydIGCgRgcFpgEAhAaPGvP//ik48/PHH88IkTxyZMfGHFmg2rN1kvX7t91Sap6VrHFZtka8wVi9fYbLBWbrZVz16y9W17rwVm9mu2KBYtf3vtxm1Lly9zcrRZtWLB8CHPBPp5fvvlZz988+0nH32M6w24QdfRfhNE/m4K++/rIc2XRf++OFYUATp69LfvdCCALi0hUfpOfmPVKouA5Vaxi7enLNievmB75oLtmQutMxdbZS60Tp9lmzZhddirm5PnWWWuVRTOWOu3cJNG6hOdsjs3Mi7xl3MXcR0NAiAWSJzh2X+aNfoN7b+YOf5Ln7SCAIjmQQDjsaFbDwJYbrGIDI/Ky8kPDQ5TqzR2Nvbenj5SZ5mNta3tdjsHO0cXqdxFKnewc3Swc/Ty8HaRynx9vPx8PePjouLjoqKjwjzcXaMiQxPio5MSY0uKC5QK6ZzZb37+2UcAPM9RiGefKOo8iwCAR6IIQLEixUJIeMKGTbaJKXnBEZlBkbuCIrICI7MDI/IDI/IDIwr8IgsiM+q2u8UHJJXYucc6eSYk7KmJTi3yC0+NSshas8GqvR0HESicY+neTr5vhd1joy6yAqUnGZzmSPYe9edHPgcCcAyPOMH46LCroxtE+E0CMBSr7dZRBI04wdvTy97OZsP6tatXmS1a+NZ2623mb2+x2maxdcumTRvX//TjDzzHuKoU337zFUXiuEEHIDxp1D94/5OFC5Zst3ZYu27z1q3bJ7w49bkxL2PY0AEm4/oNntDPZGLfwS/2NXmpr8lLfU1eeWbwS0PHv/nMiCnDxk17bsrsoc9PxfqPHjp6Ut+Bo01Mnp08aaqDrWTbVkuJnVOgt++tS5cBAaK4/5b6I8zXjR/HUxylJ0VW4CmO1BGvTn4FRGi7fvPOrfbeB8YidHf2sDSHOIHEKcJA6rUGnkUggkGHmy5abLposb2djUopd5FJ7O1sHB3sNqxfu83SfNlS06+/+gJA2LJ54/unTgqIQzxr0Gsf9nn/w17v3Vq2f1dH3j3u5xt07uzFSxev37rZfetWj1bL4iToDKC9q+7f6afzt3P21u7KLsvbW1NZs7+qtuXQoRO1NU11lfXle0sPNe7j9ERrXb2rkyPQFPDoQdQfLnN7VNRZggEEAoMILc5TnNH6Z0+fBSI0N+6zt3VYarrMbPlK623bV65YZWdjb71t+7Ilyzdt2Lx189s21rbr124w32oxaMDAMc89P2rk8KFDTMY8/+wLE8a9PvXV4cOGTH3tlT4YppDLrly+6OXpfvXKJZ5jjLWxTxr1fU0HfLz8QTDWUvdW0Gu1rCiCKIIoABJ7xYuARPjs02+HmAx/e6P5ClOzqS+9tmSB6ZtT/7F49rwFM2b+Y9JkqZUVkOSZLz/fGRPFabuB5x4N9Ufl4fVdOtpAIZondQRwIqkjQICJY1/Yszs7NjrO2VFivW27SuG6acNmS/NtWze/7ewoMd9qIXGSWm/bbmNtu3njFgc7R0d7J3eNm72djb2dzfp1a7Zu2eRgb2u09QB/X1sba6nEyXTxwvO/nKVIvP3OLcKAP6R7/8s9fE15baBPkMAATfCpyRnlJdVlxVXlZXWVZfUV5fUVZY1GlZc3lpc3VpTXxoRFLZ49x87cYt606c5W1isXLnhr+jQHC/NVCxZYrl27aMb0g3U1Rxsb4kOCtG3X8fY7j8bDPyrq98oFGZwGTjR06w3d+skTJlmab4sMj3r30GGeRRRB3xvRKYI2OnbECSLqfVNEQBhw4/GH73/g7emVkpR89PAR4zutLQemvzGtD4YZ3yFxAtcbnjTqRw4ejQiO6rzVrZa7+bj7jho6eujAYUNNRpr0GzKw35CB/QcbNaD/4AH9B5v0GzSi/4BBGDaib18TDHvexMQEw5LCwgZh2OhBAwdi2PB+fQPd3TxlMot1a4FliM6uJ4w631s5Smhx4EQQ4IMT70vsneNjE6wsrT/75POWfQe+/vKbdw6+e+Tdo9WVNYda3zl44FBry8EPTn14YH9rVUX1/uaWupr6D06939zYVF9b98Gp9/19/ZITkzSu6qqKyqqKyq+//MrS3GLwIJPC/AIQQeAR4vgnjXpNeZ2Lgzw5bkdhTtGejOyedu3VC9eAA0JLElqc0OKETk9ocYNOT+j0pFZPd3cBRTFdXUCRwHMqR4eTBw+F+/rd+PVCz81bwHKFu7Mi/IPiIqIoneHRxPACYP+icojBWWOJv6EbBx44ku+t/L2vONFYCEZocQanf/35/LJFS11dVMOHjnhh/MRBA0zGj50wcviokcNHPf/smJHDR40fO8Fk4OChg4cNHzpi1IjRo0aMHjdm/MD+g0wGDho8yGT82HEjh4/og2FSZ8n0N6aNHD7ihfETnn/2uVdeevmlyVPmz51XUVaOOJ4w4DzFPZRYggMBSB0lsgACtLd1GA8e1GuIE+4rEIEwkAIv6nr0LM3d81VHDh6zent7dFhMZEgUCPDTd2coHdF9u7Oj7U5H262OtlsdbW0dbbfab7Z1tLV1tLVd/vls1422K2fPMVrdnSvXy/IKQ/2Dv/nsq7DA0J9/ONPVoW1ubHF2cImLTf74oy8onAMBDN24oRsndRQIQBsY4+ujsfVewKi3xrvrdjepoxAt/Aszun39ljFl13Vqu+90ffXpl7ev3/r5p7OXLlz+4bvTF85fPPfzL2d+/PnC+Ys//3T27Jlzv/5y4frVGxfOXzz9/Y83rrVd/PXS+XO/Xvz1wvlzv/xy9lx9bZ2zo9OF879+9cWX33/73ZVLl8/8+NP5c7/88N33H3/4UfvtOyACRZB3VxT/uzIOQ8ZSaKO5gAAs8cAJvgdRp0mGZxHH8MYDnkU0yXS2d82aMXfl0tWD+prMeXPuqKGjxz834YXnx48Z+dzYUc+OHfXs2FGjftPoEWNHjRo76tmRg4dPHPvCSxOnvDZl6rhnx09+8WVfr8Ali1b84/UZw4aOHj58zIABw19+edr69ZbBwdG6boIj+d4CfgQMzgIHpI56NNSNnoTUUdoOHfBgNBGRBZZg7ivj0E4bKFJHsATz2xgv9BqB8cA4lt8byEEAEQGJUyACQ7H3sjsQ4duvv3NycKZJhjCQxnc4hr/3XwIvigj0WsPD2rrAiL2GjoDUUca++xe28iDquJ4AEYzIjTcBiVM3b9w6duRkaXHFkXePFxWW1lbXtew7UFVaeXBfa2NtXWNtXVONUTVNNTX7qmuaaur8vfycHKT7GlvLS6pLiiv3Fpbl5uxtbT1WWlpbUdHQ0NB6/L3PmluOllU25RfW1NcfbLt2x9gwBmeNsO/dvo/C1rnefTJ46rdIDRDcXbf9RxmDdkC9M3SGbj1HsoCAxClcTzAUq+vRcwxv9Ie4njD+qdca7rlHluZ6ywI5AUT48YefHOwcQQRdj17Xo+9s7+q409nTpWUolmN4Y65Pk8xD1+cjYAnOCN5o4v+f5O0B1Hu6tAIvart1hIE0Tj/wLDLeCjwHPd0GAmcA7kapRk/D8cAKwPK9YnhghcrymuioBBCBIgWWhd4ETwSEQBSBpkGnY3p6GNa4cIwUDFoKBEC0wBIcontdlxH8I8jXaQNDaMl7sHkKdd/pMc7D3Ff6Lh2lJ0EAI2yBQYBA16m9Z76/2bcIxjkZ44HR0PVag3GkNJ7JMfzp73/0cPM0ugeBF+/9I8+iXn9w7/VhZBzF8R5C26ET2d6g5F/02r8Y1/8wycjSHEFQxr+Mk7IGnERIFO9e131b+8mHX2RmZIMIHAsUyYMIogA0hUAEhhYInP3DF9EG5t7EqpG38XMeDXUjbI7kdZ36nnYtS3A97do7N9rvLuT8oxDNi6wAnHj7+i3g4dIvF2vKq0sKinOz83Zl7C7M37s7MytnT25udl7Wrj252XkJcYnFe0vycvKrKqrLSsqTEpIry6sa65ty9uQW5BXm5eSHh0bMmzO/rKQ8Lye/srxqz+7sosLigrzCrF178nMLSopKi/eWFO8tKcwpeCiV7S0/8/3PxoDOOLobf9jhYT28wIs0yRjnm385e76irLKpobmsrGJ3VnZoZFR5dU1S6s6CwqKCwqLs7Nza2vrC/OLC/OKivOKivOLiXKNKivKKVXK3FctXF+QW7y0oKcgrKi+tKsguzNmVW11WU5hTUJxfVJCdn7s7JzEmYdfOzJKC4tLCsoriytqKuqrS6vqqhuqymobqxoce1x9E3ejYWYIzWrwxYmQJ7kGr/URWANRr6CBAZUmFl8aztfnAkXePtrYcPHr42LuHDre2HDx5/L2WfQeOHj5WX9vQ3Livoa7xvROnKsurmhv3lRaX1dc2VFXU7m9ubdl3sKKsOj42qbmxJS+nsLy0qra6obF+X0Ndc01VfW11Q0Nds/G4qrTyoeTh6pkUm3wvpqMNjNFcHpa6iEDge/O6D059KJO4NDU0V1ZW1zc3NbTsS92V0Xrk3X2tB3ML99bWNVVW1dXWNNXWNNVVN9VVNzUYVbWvobqpoboxP7dgX/3+ptrG2oqalsb9teXV++sb68sq60orWmrraopLWmqqa4r21peWlObmle8tLS+qqCiuLMorriiurCmvtdyy7aFjeOPOLUASRokkw1MCQwHLAscBxwBNCD9+f3bKpFfWrtq4xHTV0qXrli7dsGzJuuVLVpktWblyyYqVS1asXLJszvRZ61auXb9qw+KFS+fPXbjwLdO1ZmtMFyxcucx06eL5ZitMV5iZvrVw/rr1G+fMX7LUbOOaDVZbLOyXmK1btmrd2k1bu/UEQSNOAB0BNA84CQz1Tz65149xwNCIMNAkzrA04kgWEAs8CzwPSDC6LwEBEgAJwN0VQr0SeNjffEyl8OVY4z4jxpCTAwRAAVAi0AhoTmSQwCCeAY4VeZ5FPC1yrHHrCpHjEcdzvIDTHALAKRBF+OqrM1K5G8EKLAAhGFdvAiEAYYy1EQgIeA56l+kwvQJjbQgnAABLUohiEE4AEkSC7E2GKRYEMOYdRI/BCOy3NVPGG5eBWTMXcCzcE8+KAssBzQBNAUMZy2rvrdwwhtUYrbsDAg6oCwxtXb98CwZt+y19RzdcahMv3hDa2lFXD//5Z99JnBU9eqbLAATA5Q6gEHAscIQIFAIegOXoHr3RynkOQATEA01yIAoC2w3QBdB18drX3UzHlc72bh70AJ0ILhngBgvfXL0tDwr7/PylM9c7z7Th59rhfDt8f95w4ybSdsHtqwbdTfLC6YuGTgMIYBw4AQDHSRCBxXHAO4Dtuv7L9zcuX+i403mrXXfplvb05duXu4mLvSIvd7FXOvlr7eL1O1BYclwij2jXix169pcrN386e+lOm+Hs1xcAByBEIBigSGAonuVoDigetGSnCAZAOPDUpe++Bprs6Lx1taP9u6vXrxnQhVvc9Q449dklz5DU767duUaKZzvFSz1w7ha06eH0OfrqTR7Hhba2W1cvXkAUAzzgdyhgQKSB0eoIXTcjsLTAIp4GlgaaAooCigaaxTu0PCuSDJy71N6hg8s3qGu3uNtd0N4Jl6/SV69R12+QbbfIji7W3Er64/kbF270dFNw9WZnd4/u8vmfBd3tzl+/Ar4HGMqYZRhHJUEQRFHEOJYEgUad1z45UBcolynsldPmbH19kWLamqBJizwmz3eZvcL1pTe3YH0mLdrg9qqpdOJ82YQ5zmOmbnr5jbVrVm5btmD5zFded7LYFh0Q8sVHn5EGlqEFhgaDnu5q19E4wejbu2+fv3jpWyelrTooaNx00ykLHJ+dIXvR1H+CqdfrG/xeWC7Bhk972czplWXy15arJy1Xj53n+OKs7QtXKFaaSdctt1m5YL3MWnbqnZMcyRoMhAhAMxyBMyACR1BA6dieO15qN2/PkJffWPrGwm1vLJNMMXWcuMzpheVGSSYtlU9eonhpsfqVRepX5siHjl+9YI1k/irzGYuWz5y32EMdnBS6EwwABhEICigcaJJnOZoFggcGkAgM2dnxy+ffutnJvZU+sxauec1068tmDlOWyycvVE819Zo0V4kNmDthkdPLa1XjTRXPzXN5eYnfhJmK2cvc55g6Tpw8UyaThwX5v3fkiGh0BRwAAwKJA3C0SJMiyyMauLvUSRooFhBQJF/fcsxG7r90k3Lim1vfWCSdZeY5abb85fmu00w9Xp0rfXOJcpl5EDbwzTfXuE6Yaz1zrXLmKod5K8xnzzNduXTxtjWLPzncJLIkx3E8z/M8jxDqpY4jYAFAgEMtpywsNEvW+2DjrAfOieq3IAN7IxF7Nbz/rLh+04KGz48atjABm+qHvaiatCbpH6vDJ81y6Dt4ah9spMkzg223WDhbb//sgw9AAI4RcB3NkIgmeIEE4AAI6O5kVq5z8I0px0auHT8/zmRaCvZSMvZaCvZmQp/pUSMXJg6fFzf4zYShsxOHzIsYvSh40lL//uNWY9ikiRNmv/LCtLz03D07drM4bdw/lMAZkmCN5QY9nYSAYM0GVUr2CezZTRMWhQ6fH4W9HojNicLmxvRqdhw2KwGbmTjgzZjJy5JfWhI89JUtWN8Xnhkx7tlxk7LS8gNcQ3ptnaSAJoEheZZjWaBYMLDAImC18N37F9csctqyOQgbucbkH5p+M0OxqWHY6/ED3kgZOSdzwPREbGpEn9nRAxdFYdN9hs+PwibKx83U9B29ZNDIVzZstvDz9Tz+7sHebbFYYLUco9UB8EZb53lW5FhgWKBYoGmgaUACCFDfckzhm7DM0n/oq9uem+U68B9ez0yL6TcrbeDsndjUaGxabL85iUNM07E5sdjM8P7zw03meGNj1g6eaIZhYzFs6LsHDvMsug/1WzR0sMAAHH7vnJ1rhpVX7QizXdPcvxnn8uMY+a8TFedeUv78ist38/wvvqQ4Pcnlm9cUX0yy3v+6RdkS+/zZKz3zS47U1x5KikkI8vL4+YdvQRQMOtzQjQMHIgOcAYABvge678CSlaq04h+HTA1Y5PzpLMczM6TXpyluvWj748uO3y/0ufq6w7czJOfedP5pmvTT1x1b5zlWTdsQ7eiW+dMvPSq5V0psyu6UdOPAhljgaKAJHnFA4UjbzfMCmK70qD+KYxM1i2Un3nD+eJz1R1MUZ15UnjVqiuLsS/Kzr7qc/Yfs+5e3HV0oO7jAZteM9ZrrWnCQqrIz8n0UPoAbx2QaaBIxJMfwLA0UDVoSSBaAgwtnKAvzCK+QgxNMU+YqPphk98lLsjOvSs+97nxuhsuF+e5t42xOv6o6/5rrV6+6nHrd6eQc53fmWheNny1PzmuRqDwyMlPfP34YeBD0AhjuxlaiwCGWQzzPC4gTgBWA4YGhgaHwzjscw5bVHvCJKbB0y52yJvYtadOrtodmuF14RXF5osPPr8ovTHY+O3Trp9O9bo6x/2ayy/eTnD6c6nRw5JJYa5/qMVM3Ydj4r748x7HiH6gLgoC1C9BGAQHQcPy7rer0zUGtmFn+GI9f+qraBrjjQzxwE2X7KFW7ieTKINnNEequCR49zzufnaH54S3lYZOpsuyqz4+//2OAX7C7Sv71J6eAp3maAk4EBIgAugsBDkBBx21Yvt57Z+XlQTPjZsp+elV6e6KcelEDg+3bxyi6RzheH25zdbIL/pztreccLr6kODPL9cPnl8WvlaTcIcDd3T8rI7Mkp9BoKIgA4IEjROMmrIBARLBmY0D9cQZ71s3U9fTr0l8nyduHOdwyceowceoY7HhnmMOt4Q5to+xvPGd3ZWEwPWL9O9Ptqyct99IDOMvUNaU1rvZyIEQgBcSwHEtzLM0xPEcDSwHBgpYEHsH3p++ssQhWxRwfZJo9RXFmsOPl8T7cYMnNkS53hju1Pa8yDLTvHq4gnnfTPqu4Oszq26nyH6ZY1PR/Xdn44dVV5rZJKfH7m6qBYEQ9D0YXSIkiKyCO53mB44HjeiM+YFngCER2g8gXlTV6RBasVu59fs2eGW5fT1aeH2Z/dZhT1zNvX31OQTwnpwbadoyU4aMVhhGO10fb/TjF8WOTRTsD9nw93dQFw54/dfLz+1MnALoQSwM0nfjCwivj7cgj2IaKUT7XBvgzmLeIeYmYihrmC5hjB6ai+mrEfioYINWPdjo/ye7kqIXRBfsvHTp1JiY2yc3V5dvPToHIgMgDAmAB6QEI4Ds4IODKJcPyrd6xZWexWQkvyc48K+nsZ08MUUNfOfdsAGCOPSYKZqwHDHRgBjmSo6Xtr2l+en5j7irF7ktasHN2SYqLLcnJBxbYLoHpFoEBjuiN7Wk9juv4levdqo/osfG+b6nPjrO5MMpZO0QuDFSCUYMV/DAFM8qFGi0j+lu1T3G9M13+HvaCtQ7ANyA8e+cuN2cXoESBEVkO0TzH8hzPIpEGgQZOAC0FNIJPv/t5lZ2vY8KRPmYlo5SXTbzY4aGAOXY+o8b7yLUDXPk+SsBkMCoIBmmEAY4dzzv9+qrko74z/dMbvl5t7ZSauaN1fw0gAVhAOhEYoLpoSksBKyAOOA5oHmgeGB4QzwJH4J1XgScLius8okuXyiuGra0c4/LLIKcbmG37aA/o58wOUcEIDYz2hj7OMMINhimoceqOqa4/9lu40z/ri6lv2WDYkBNHjvIsdx8Pj6Cb5jsA8P1HDlu4Rq3zq8ZWFwxVn+/jhWNKEvMATMn20yBMQWNSCpMDpoS+rjBE1jN6+2ejzHan1l2oPPBVVGyKj6f6hy/fB5FAhJ7u0rFahu8BIAF0ONDUhcs3lmx1CSn9Ensz+EX1GROX25idFlMBJucwDwGT45iS7acGTAKYE/R1IJ+TnHt2a8UKTd5ZHSi8vHfvSsvL2A24wHaJbDcAATwOgABEDphugSOXr7WtONqGTfKcoz491vnKcxo0UAV91IBpoI8G+qlhoJobomKHKNEIDfTdfvtFp0/Hr0rsEsDNza8oa0+0vz/QiGdFihcJAdE84jgEVO+PvFACiUD78emP1siU5jF1fTaUD1JfwbwR5gGYvBvzIjBlF6akexcxKQBzBsyBHWB3/RXF6X4LYmIqPrPW+GTkZOxrKgPEA4nYbt4Y0AECYASRBY4DkgcCAYmAQ7zIG0DUg0iVVTa5RZXPcaow2XRwmLJ9kEbApMRwP+ijBEwKfV0BUwFmK2BS6CclnlO3T1Z+039xknva0ZfmrMT6YJ998A7PUfehDsItENsBtMeOHbHVRG7yrTDZWD7O5zqm7MakxJBAGOwDmJwd6Q+YE42pwQj+WS943vnnIcv2pDVfO/jRxeiEVDdXl68+OQp0D6fvApI1xixAA9A0sMTl6zcWbZWEVn6FzQyZFnJtpKd+oCf08QFMLWLOBswTMDmHKaCfGwzxhMGuMFJycdjmyuXu+Wf1oPLziYwIzk3f1bsDFQ7GtSAgAKL1+p4LCAzzVm6p/ugO9rrPVNU3Qxwu9JPhmBIwFWCuxuVFIqZiMCXVR8FhEhjqwk1w+GLAnKBOBN7ewRX5eeE+XiLDcaxIIBEXRAr1UgdKFBDHcN0AHR9/f2ydXLExrKTf2zVD3W9hGg6TMVgQ9AsHzLUbUzKYEjAvwNwA84X+GhjryU+Sn8bmRO06dG6zXJOavbO8PAcYUtQzSCcCByIOrJYBGoABjgWSBxwBIQCDeJE3CNQtEPDSinq3qPJZjtWDNh9+xukOphAwVwFTi5iEwWTwjAdg9oDJAVNDXxU3Ut0xzuULk5VpHpmHp8xd3qcvdupEI8/dL4antdeB7QFEnTxySuqaYO3XNGxN2QjHn/rJtJhceEYm9JcKg6RokBQNlMIzLoDZAaYEEzkxTvrTQNOM9OYrLR+eD4tNlrs4fffVKRAJoqud0+JAAtuJgAUwMEBxP/x0cYm5OrLyNDY7arL67Cg3PeZMYU5CvwDA3ABTcZjxtnUEzAGGq2Gs4sLwzaVbQiq+66DcggLS0hIyEpOM6QAYAFigOllWR7KUVkffJICdu8U+9+RNbFbYNL/zmOWPz7gymELAPAELAMwbMAWHeQMmxzE5PdQT+m3vekX+zZD5gToAL2//wl2ZvioFCMCwAguAC6KWJAUBBD0vGpC+Qw+IFbjOL7/5cJ29zCayoc+q8oGSa5iSx1SAqWnM1YAp9Zicw6RgVB8vGOQGo5Q9450+7zMvMvfYhc0KdWZBxsFDNSBwQHDAgf4WBTQAD0AgVsswNBgYIIRe++cZPatvEzltTX2LZ0z5EtemkZbHxnhTmIMBc0WYF2BegLkC5gaYC2D20McDMCfDUHXnoO3vPbM8RZFx5IW5ZthA7MjRRgCe4zgAwHGcIAjjtm0YTxmAIYHnT77zoYtr8naPmuHL8mf53xzh0m4iJ4bKiJEy/Fmp/jmZYZQLM0Qu9FPCEA302/7rSIvjY1ZlpNac2VN57P+1991xUWTbuoXkpIIKJhQTKphFxxxQcs4ZmpwUzBkBBQSJAuY06pgFc8AwQWccx0k6IyaCJCV2rpzW+6Na1Dl47nXO3HvmvPf27/sV1d107er9Ve291661vpW8cu3yZUkP798CwAlpJ5CM6l6XA0hpYKDptWKyTcjK0m+Ryalj4p/o+VerB3YiobhO5ad1NgAAIABJREFUEqudSCFBLUiYxCQFtMOYXrHQO0LSL/B+H+edLqv21GIQlhCTkbG+KDcXGEDbaGULo1pZxCkKl6OsuI3Fp7iFlN1qRsYut0p5ZBxT2zsZV0+gVa0TTyJRciROoRYj0Y5TaAUrLJYRo8O/NJq+VA4QF5eQm5G2LnkJ0DyGUmIFrmQ4iuNRFOcVbNdzDg4V//DdXX9RSuyWi3rzD1osE+tGYZoxtGaMVCe6zSCyTV8k1QkDjXBQiwateA7xqu8V+HRo8B31Scu3n3sw38c/f1feiZN7eQojOhWAAi3mOUHfWNCWpAAlQE6CkgKFEsOVEmCkPC0/fPRkctrBedHHDOyPD4hrQoJbNBMwJEqORKFImBIJIzRjQSsONKMowzjl4JS2kfE/Gi7KW1JU2X/8PEQDuXGjAoAhSRLDMIIgmLcFoQGUKA4MVJy9JorZErbquM7UjGHhd/uLnvaJqDUR1Q4UvTQLfzFI9GJgRK1pZKNRZJt+wPNRMY8tgi70mbbiwKUXld8+XbMhddXqZfe+rgSeAo4GnJE0dgop7wQTpfkNNnVh8Podd5BRiePCvhkWWtUvqKZvWJNReK3ZktcGAY96B1WNTOzs5ftiSPSbvv4Ph/ieHx+4y2dl8dNWRZAorKgwtzAnB1ggZaBoo2WtBC2jACeAp0lGIWPpWa5hJ+62I4NCpsbdMQv5zjjoUb+YeqPYJoPoRoOIOgPRSy2/X43DnpqEPTOPbhrs961V4Beao9zkPISEhJw4dCA5OobDOeCAZAU1KMBRglOygAJQwk/gfvrm+4DApQkbThlMyZoQ/2SAqK5vRFP/8OqB4U+Hhj4ZEvx8UHCTaUjL4IS2gQn1Bp73R4Z/PzX6ssnsZQWn7vjFx+88WHz69EEKlUtet/MKHmjAO1FajgPBAgssDRgBShxkKJAECzwDPM6Q8p17DiauK1kgKu01L39M3C+Dol70j67rFfTMKOilUVB1T/+XQ6Lbh8dLDL1+Nwt/MST4/gTR9cE2Gamlt6fN9eilb3D9whmOpSmK4nme4zgAQFG0s7MTkbDQjuI8wM3Kr6ITNqWkHTNbmGrueWhQwMUBAdfNAq6Y+18c4Xd+eMAF88DLZkHX+3nf6ONaMSvh1pzww2bWovx9VyuufJ29LdfH1+Pnnx7wHIPK5MCqyCbbCUrMAAViMeUVtLTg82+MxkVN9Do2yv2ihd/dYX5fD/K+YhFeOTL46oiAK0M9rwx0u9zH8ezo4PMT/PeOslvuFbv5UXVDyqplq1Ym523LBg6kbUrBQAAWgOVwSQdDynkAG8fAY5d+R4xs54V/MdL1sFXQtaF+l4cG3TAPumUeXDnM/3ofh1PmXpdH+lzrb3fKyvfkvPAysymuEgqWL0/ZWVS0dUNa52sxJiPkMoyiKIqiGJwGFgADZQfJoxzQUPPzk2Dv+OVrDoyYs9k67JK53w0zvzvDfG+M8r442qtitNeFUR7XhnlfG+x7vr/HcTP3E5a+xyZ4FAyYFrI8syRh9fIN6asqK8uB43iUBQIAhze19fLWNqxTqnrcwAPPgVIJSjmOyWXAUcBSx0+Vp+bs807aMdRmk2XA8X4OR8x9r44KvG3hd8My4OZon0pL31sTAr8ydymfHHJjou+JaT67h89ICIvLtp6yoK+W1vUzXyilne3t7QCgUCjgbUGkAK0kyQJXeeOKna3TjPmeSJ9piKk9YuyC9HFDjOyQ3osQ4/mI8Xyk3yKkrwNi5Ib080S0ZyK6kxG9EX1MRmnrGE6bah0aGvz48WMUxWmKBw5oJSNtEpOdOOAAHDQ1tsxaaO8RvBTRGNXDxBlBbBBDf8TQG+ntjOjNRfraIEY2iOZ8taGhiIEdojsH6Tldy3Symr4poq6lq6udvDTh3NnTACCXYcADg7McQQHHEJI2IOXAUgHeQSuWZSHIiL6DnRD9+bqDfRBDO8TIETF2RoycEAMHxMBZra+fzqBQNRN/RGsGYjAa0e+r09PAuE9PR1u7OFE8MEArOFyGUhiKyqQkigEDPAkMDZgMBZL5+fZdG+uFC+f6qPWyRvrZIkauSG93pKcbYuiE6Nsi+osRg8WI4UKkvz2iPR0Z4Ib0tkH0piA9BvUzHzneelxQmMedO5eBYoACwAEYoKQS4GieJIWHKCz1nlYpA8BzFIl/fuR4cFTy2M88e5jM1hzshugsRPTtNYYEI72cEQN7pLczomej0c9VZ4AnojkTMZyNGExB1M1NjIeZ9+0/oqfutxfPAM/IZDIAkEqlKIoqlUoAQK7+8Oirnx99++3dr25cyk1Lzc7YlrImN35tWcymQzGbDi3ZtCtl445lm/KXpRYsSStOSNu1vvDs1rJLS9YVb9pSkpdXmpm2dUXy0qK87dmZWddv3Hzwwy/V1U1Vv70QTr35ZePP3z366ftf7ty5k5i0dMu2gvDotas3Hl654VTC8qNLVn++MuNQcGJazIqtsSuzV2zcs3Lzgfj1pZuLv0jL25++bceu3Qfyt+flZG7Nydy6Z8+eZy+ef//g4Y3KW+2tbcBx1b8/evzg3re3rjx+cC9vy7bcjMLUdfnLU7atWFm0btPuDZv3rtlUtmpD2fK1O5auKM7eXr585b6U5XtWrdu/Pm335qyCrblZKauTsrLT01LTL5279ui7ql/u/vL97bvipkbgGEqJkQoWVXC3v7733f0HD7+8++PNuxnLNmRtyElemR23tjg29UBs6uElGw6nrD2wYu3uFetKktcXLN2wPbvk0LJN29NzDq/ZtGvtppJN6fnLV6/KK9y6LXfTpUtnfn34y8N7P96//T3gLGBKnpADzwEPpJKiFDQjZ4EEoODBNw/uffPt/fsPDhw8smJtakJK6or1+ZuzDm/MPLJk/d7U7efilxcnJOetWlOwem1+WsaupGWZOUVHt+TuX59WsGVL/raMrN35OdmrEqu+vfnj/XvPnj27f/++cJfjOM4wDGI50yW7cH/qqvW7s7IOZWcfzM7fmbs7N3NfYf4XRQVHy/L37skv3l+Qv7cwv6y4qKSkzLB3vzFjJww3HzZ+zKiRg0wmWgybaz1xsGnfUSMs5i+wXbZyU8qKjTM+m09jLJDc5NET09ZnrVm5OTtz246i4s8PHSspPFC8/cSeHZeLs08XZR/ZU3IoZ+u2wtzsvKysz/cemTR++rhJkydOm2xmNqh/3z4jzMxGDxlqNXzEpHHjLSws4pckpWduXexo++NP3wNHpsRErUlOytqSuj0vuzC/KGdb/qGDxwvzd5fs2Ju3vbisbFdhYWFR0Y7iorLsrILjxy44O4RaDJs2b+rCwX1MJlgNH2s50Hx43+EjBlmNnTDCzMrHMWhf/v5VMYnlRz8HlqZRHChQKsFy6oycgh2ZG7IOF+wv2rhtR0Z+YUFpdtGu7NID2SWfFxQe3ZF/dOf2/aX5ZUWFuYXFW8eMMhlnMXDciJGWIywtR42zsrAcONB4/ATzMWMGjxw5eM3y1enrtkYHRbXWNgGD8oRULuvkOI6nOGAACMDblA9u33e0ccpIy9yeV1S2Z3/u9sKSHbv27z2Ul5m3fVth3s7D+fuOpeUUbcsvys3LKS0r3JqdNnTkkOFWFsZmA0yGmQ0eNXzM+NETJ44eOqjXkIG9rCwt9u7dO2PGjNraWgCQy+UEQSDjre0oBigJDmIpyOVs0xuQkbyMY2Q8K6NBjoJcDPJ2ULYB2sljkj4GGq6OC2xmT3ZcON1uzpS5Uy3d7ebbzJ05baq1nb1zc3Mnz8PiRc5vmtqBBdPepsABKmel7RJMrmhtfCOs2TFiABLoTgaUBBAYsDivFAPDjBliNs5yyKLF010c5vq42nra24Z6e9nMnGUzb+6CBfNu3bnJABsQ5Hvv7h0SkwV6uXx/90sADicJkmJQFG9vk2AYgSlRhVyKyjtl4jc0IQOeknV2AAdL4pKHDRzmOHuWx6JZToumerrNdnOfv8h21ozpM2dPm5+XXggYFG7JPlBcDCzDKDBgoblZMnOBHcGCvA0FOQ8KnpNRwHIyhVxBkkqCppQcI2c5GcHKZDTaSmMNFkPVnReOWTTLys12nqPNnIVzpi9aaO3ja//ZZ1bz5k1vb21709CSEJnQUF0LpIKjZKhSTlGM4HwGFAAD9U/rXOxdWQYkCozmob2zQ6GQAc+gHW+Ap0melVCYBJPwQKJYC/DSXx99PXhoT1vnuXNtZ3gGe8y2mWU9a9K4iRYuLjYLFkx3dLAjSXKcpVVLSwvP8xRFcRyHTJn8GfBAKTG0oxNYBnBMNbTQPNAsUDRQJFAEUATQBDDE4P691q1JTE4MS4gJDAlwTU6MiAjxE4UGeLk5B/j54yiBKcl5cxZSKE2htOUoK+CAxlh5p4Ij3xpCDAAFLArAAk8K+beAkCuB4qdNnBwc4B0lCkyKjwj284gKCwr280qMiRSFBDo52j784TsMlYWG+H956xoA7eqw+OH9e3KpjGV5hQJVyJR/cM3DUAVF4oIDNY4SCXFL3J1dkqJD4iN9kuODAnztkhJCE2JDE+MiXe3t87NzgIXCrJyd+UVA0JIWCbDQ0Sq1s3UCHngKhHeAAxwlAICmWRwnOeatNDjL8zTR0dFgMabPmnWiwGC7oGDnJUvDwyO8RZE+MXGBsfHBHp6ODY21LW+aoyJFrS2vaVwJnOAgChTBCi5r0nbZ74+f+vr68wAtHe1yDGWAo4EhOYIHhgeGpDEAhiAVque1gL94+rOV1bDgYO/EpKjQsAAvb9e42IilS+JCAr3cXeznzZoJPMz+bEbL6zc4iskkUgBAPF1dlFJJVkZ6bGSEo+3i0MCAAB9vZ3s7T1eX7uCk2QMZYzFg8EDDoWZG5mZ9Z302yWxgn2FDBgzu389ARzsjdTPwMGPqZ5I2MU+BlcU4SZv03MnyiJBIexuHyNCoQJ8gZzuX0IAwP09/Xw+/QJ8gD2fPIN9gu4X2gT5BOuraZgP6DzAxMtDRnGBlMW7MqMUL5wwd1N+0by8jQz1PN0fgGX8f98a6agDa0dZG0t7CUHT65oywkPCwkHC7xfburh4BfoEuTq7enj52i+2dHJwD/YO8PX0S45OGmpkPGti/fz+DAab6Y0cPmj7V0tFuvqGeumnfXoZ6moP7m/7+6y+H9x/YnpULHCjEqLxTKetQeHv6AQ+Pf/0tLzff3dXDbrG9j5evm4t7gF+gh5unp7uXj5dvgF+gl4e3i5Ork7Odhg4ydGTv/ma6uoaI1cQho60Gj7Yysxg7ZMhQUx1d9ajo8PMXzsbGRt+6VYkqlEq5AhjA5USXPzhD8Q0NTTaLbOVKRV5RYXB4mIOb09xF823dHG0cFs9fPM/F2d7H08XFwTYs2M/d2cF+8Xwnu0XqCGI2wMRy9HCzASbzZk8fPcJ88IC+/fsaGffUHzXM/N5XX9sutGmub8BRTClXKBQKxGL4iDMnTnq7ewT4+Ab6+i2avyDYP8DZ3sHT1a07OEWE+QYHuvr5OPh5O3m4Lk6IDXdxXBzg4xkTIfL39pk+ZerS+CXTJk1vbWoDDsz6Dz1y4Gh4kMjP09/bzSc6PMbZzmXB7IU+7r7uTh4u9q4B3oEu9q7ebj62C+zcnTwiQyPioiK93V38vDwjQoMiQkMSYiKd7e283JxXLUtxWLxw7swZtgvn3bhymcaVIQH+SxPit6RnjB1t6e7qESmKmjNrrr2tg4uTq72tg5eHt+0iO7vF9i5OrnaL7cNCwj3cPH29fcJCA729XEXhQeZDB27auHbK5PHr1q729HDz9fZbbGPraO+yd9dB4ACV09JO7Mnj59OtZ1b9/nTdmvXenj7Oji5eHt5uLu6uzm6+3n5uLu6O9k4uTq5uLu4uTq6LFi52c3UOC/cPCnF3cVuYtDRy/MSRWdmbZ8ycHJ8Q5eXp6u3lkRAXHxwYNHniFJlELjDNkaxSohDcpBRiOU0yvz9+Mm7chLy8guUrV/j6+4miozx9fWwc7ILCQh2c7B0d7Fwd7dydnYL8vJ3t7exs5keGhYpCApfEx4UHB9jMmxsW5O/h4uzh4picmBDs7xcWFJyTmWWgpy9QDjwAADLB0qq5vmHVsuXPn1QBD8D+g8/vB+AAyI7WVyQmASBvV15JT123NW3To59+FNx+C3MLEqIT3Z08WpvaW5vaZ0ydVf20Jmdr7o/3f3rnZ829Cz943wVM5Zgr1MLxt65f27h2XVZG+pULF4HnaJx4+tvjnMysmdOsXz59Bgw9Z8bMSxXnRWERnx86IrgqqxyouT+eNk0ywkccw/M8zwGLooowUeixY8cys7NIkiZIurNDlpyyav68xfsPHAEe5HIKQ1mS4Ez6DsjLzc/amv3dvfuCk6Tgys2/7e0pghYOThE0z3LAszihAGBoBv/yTuXBg/t3FBduz8kVAjrPnq4oKd55++ZXZSW721sk0naZkAaGVOCC1zlPcfe+vOto75S6cfO5cxWCQz1OUAIzAEBgODA08MDTFEfRggkgbBkCr3n+YueO4u3Z2/bv3oXJFcDxcrHk3KnTa1atLiooZGmmqaFRqVQisk6xv7dP4fa8G1eu3qm8eebEyT1lOy9VnD9/9lx3OHP+7KnyM8crzp64drkiK2NzQkz0hjWrM9Mzdpfsunvn3oWzF73dfAtyitI3ZB7ee+xlVc2W1K0B3oHnz1y4efXW0YPHDu45dPPqrWsXr589ce7M8bNnjp+9cbnyyvmrl8ovnzl+9vP9Rw7uOXCxvOJyxaUzJ07GR8Vtz962MnnFkYOHyk+dO338xNL4JUviE9I3puVmZV+/dO3G5etODs57d++7cunq8WMnunxwT588c/H8pbOnz50vv3D54hXhnSuXrh49+kV5xaXL12+eOHk2KWXFipXrNmdkFxSWll+4evXarQ2pmf7+4Wlbcg8fPqnEOZ6Ho8dOxcctcXNxX7ViteDae6Hi4s0btyrOnT914vSVS1fPnj5XfrbifPmF8+UXKq/frDh3/tyZ8mtXrl8qv3j82IlL5RdnzZj74N4PBTmFV85fO/75ydvXv/R2891dsvfunW8Lc0qk7XLgAHAKF8swqVwpln/39bdlRaVRYZExotj9ew+dPV1x7dqNs2fOnzxx9u4398+cKj9z/HTFmbMVp8uPHzlafurclQsXTxw5fvTQ4XMnz14+f6HidHlIQGBiTEJmesapYyevXbp85sTJE0ePWU+ZuqOoeFfZTtW97uLgaNqnrwaiZqirp6nWY5Bpf60e6r30DQx0dLuFOoIY6uqoI4hWDzXjnr2sJ01eOGeBBqJubNhHHdFURzR76xuPHDImyCfMw8ln87otpsYD1BENEyNTfS2DIQOG9uttoo5oqCMauhp6wo7wkTqiYaBtqI5o9O3VT7uHljqiYaCtP6DvwIVzFpgYmWog6lpq2upIjwF9B1pZWEaFRU8ZPzkvO9/U2KSvcb9+fUy0NLS1NLR1tHQ1emhqaWirIT2ErQBNdS11NQ09HX0E6aGr1wtR19HT792vv9nYsZPnLrBXU9NV19JHEE0E0dTT723r4Grv4Ppb1UslStnaOUVGxPY17tffZIC+rkEPRP39I/cy7K2rraevayC8NO3XX0dLXxPR1kC0NBDNPj37mRoP6K1vHCOKiw6PVUe0+xsPVke0e+r27tfbdP2qjRbDxnxz+y5QHIcSwAIpVbA4nb5h89zPZg/sN8Cs/xBdDb1eer3VEA11RMNQz0gd0dTV0Dc27KOvpaeroaeroWOgbSi0lZ6mrjqioY70MNA21FHXHjNirO2CxT11exnqGPTSN9DV1Bo8cFC/Pn3v3LoNPNA0jdS9qK19XiNpEze/amqqa6x5Vv2m4XX767bmV03d4k1j04uqp411r5RSWUvjm99+flz34lVbc0ft81fyDoyQM49/rKquamiqbXv08OlP9x811jaLWyUtja1PHz9rrG16WVX95Neqtub21qa2xtqmhprG9tcd7a87GmoaO1vE0nZZZ4u4sbap/XVn1aOnTXWvq5/WNL968+pl/Ysn1UoJWv209mVV9dPHz2uf19VXNza/et36pu3Jb1V1Na9a37Q1NTQ3vGp8VVvfWN/0prnlTXNLfV1DzcvauppXDa8aa6vrmhqaG+rf1NQ2dnbIH//2rK626fWbjld1zY1NLc+f1bx+0/7o1yfVNfWvXjXwABTFPHv24ucff3nx7GV7a0f1i5q6mle11XX1dQ0kTgmhmXU1r+rrGm5cq1y3Zv2r2vr66ob2RvHjH57gnURzTUvDi+aOJslP3/1cU1Vb96KexthfHz5+Xf+mpbH18U+//faoisFpSolhnVJgARfLgIWG57XVvz1rrmtsqmlqb2qvqaptaWyTtsqaals6miQtjW2dLZKmuuZXLxtaGltf17dUP62pr27sbBE31ja/elnfUNPU1txe96Je2i6revSsrbld0iaur6l99Muvz58+a6xvEHd0AgCishQZAA7ErZ0qm437aDwbcECoBiEW6HdZjWiUBxYoJcfiwOLAEar1RUJBsQT3bgh/+xVGcKnmQNYh7xrXOZLnSCFYThVUyxI8jamsGlU+FKprHsADp8oUJ4RQCeGPSjkqhKR8EGTEg6CZoErejTPCvmo2oIrJejunAY6hSYrEeY55d5z3grY+iGDi4du738XFxAv1fpAuigVggVJQwq8mlVTXydAkxTEsiROKTgmjwGg5Dgwo2iRAAyXDVN9iAViglYxgx3MYsKiqDSnB1Z4FjhTinth3bcsBJiMolOl6h8Lwt+fP8SzH8zzyZ6P+4R2IfwryU9ML/1cH/PDgAuvdi4BxKnoIjBR+tkwiZzAKGOBJ9u3Fzcra24FhgOOkbW3AMwyuJJUy4BlgCEIpE7e1K+UoRdBC1CqBkRRBkzglOJnjKEFg5N2v7y1NSsaUOIWShIwAGniUJcQYg1FKsVwIDGIIkiJIisQFkCROkjhF4hzBAAeoGCVkRBfTuBQHHLAOVLVojwMtY3gUgPmUxlE1PstRNEszLM1wDPvnWP+Q778x6xzDszT3tpEpAiPlUgWhwIFmgWSAZIDhgeVYJcphSlohA44BmgSGApoAigCO5nElT+Hv2wJCwDpDsRRBCx2MgF9/frQ9J08VdkmzwPAcSgDDAcuTqKpX4DmG45iuOHqWp1ie4jhGZbnQIDyykrXJUDHGYhwqxrAOlJZRrIIBjOeULI9yQAGP/zWsfxIl3bH+MfwZyj/l+OQ/Y10pR1W3OKfqk980twisMAol4ATgBBCksr0DWO7l499OHDx0t/LmxVOnKy+ev3H+ws1LF859cfTahQtXLlysvH7zzKmzF89fOnn8VPnZimtXrldev3ny+Kmrl69dqLh47kx5Xm5+TFTsyeOnLpZXfFVZee3ChTNffFF5+fLV8+cvnDt7+8b1yhvXLl++eOnKxUtXLl64+h6uXN61c/+PDx6rYgXJd3GDLMEDC0IHwOGc6jE/CTzxSe3Dd8/6pyuP8f8VuA+3f/nxP6jrYwpgwgCvkCklndIPzHeGZQgSGI5EMQYjlFIZcFBxutzb1fPwvkP52dt37di5s6h0Z3FZfvb2PaW7t2ZkFhUUHzpweN+e/bvKdu/euad0R9mOopI9u/Ye2HewIK+wIK9we05e5paskuLSwvyCnMytOVu2ZKWl7d+9a09ZaXFhUXFhUWZmZl5Bfm5Bfm5Bfk5hYU5hYXZRYXZRYU5BcVTU0q0ZhcCBUs5ShCqMDZfRqunLe3kiKRnW3tz6iU3E/SPrHMchn9jK/x0imfe2/+P4GOuoAlOJX/CAKXFhABZ3SAiCohkOeJBIlRhK4QQDPBQX79m18yDPA4kDzwNDAf92GkjijNBndK3GvA9h+Oia2b0/9VOFmxMUxwPB8Kzq+YPKvUhw/CQB9h06k5iwnucAVQLPgaSTEsI6hfzShIIklQRLUjxNAcMAzX5qw3bP+qf2qP+0c/4LNJ8+FR+byr0vEiSTyIU5PIEzbZ1yOcViNDS0SjpkuBTnZSjsPXw2t2BvUxvxpo1ulfCNr8k2CShxaOugCZyVimUNrxqF6RuJU5gSF+Q2hHAJAiNJnOIYHlPiDMXicozEKaUcl8swnoPausbmFokMY8RyukPBtivZNiXXpuRalNCihDYlnKr4MmXFVhSD2lcSuRKam+StraikkyBwtqnhjbBaytMUrpByJAYM84lNynIU3e24/q+w/iHBFN0NPpn4T7MpPsa6SjrmrUwGQ7EJcYm+fkGeQREhCcvD4pe7h0T7RyQFRC/zF6XMcwqaPs8zNH5TeNzm8MT0gPD1IbFpicsLfENSPD0DI8IjZ82Y/aq2XiBYIF7oPIQ5I00yOEqQOAUcSDrlOEpxNMhluLgTXb061dk10MsvIjA8KUC01F+U4hux3Fe0widihU/ECl/Rivl2gbPmey9bsS0wJGVJSnpcwrow0RKRKDEmNikwIPTHH3+UScUADEUqeQYHjv5k3dz/Ddbf3/47Wec5BhiKBx4knXJJpxx4WJ68+uqNb5LW5CzPOpSUdUKUfiJiS7ko41xU+rktBx+kbLsat/Vy2OaLovTLAWtOha35YvnWs6FxWzKzS3Kyc41790EVmCCUyLMqw/39RXiaZIRnpkL+ZMGG5hlYlpLm4hWfuLo0KfV47OZzUWkXI9IuR6Rdjko7H512LjbtVHTqidUFlf4phwNTPl+aVh6zYmdCSlZxyaEdRcXJiXFtrc0MTQIPEnEHgSv+lDI6y5GsECjPMTzPcvCnVAb/OWHvb/83e3j+A5BAEwAsMCTwDKBylmcgwCfy9pe/I8joMbZpBvML1WwOIXbnEJvTGvOO6Mzdrzt7n+b8oz3szyMLTiDz9xvMLxw2bx2iMXrcpDkjh49QQxCWZmQSKUWQHMPTJPPHGimeIYHp0oPAaVqKMXLWxysRQaymOBf0nrlDc/ZxZN55ZN5lZG5Fj7nHtOfs0Z27A5mTr+PUQkq5AAAPHElEQVT0ubZDBTLzeM95R4cuKNDtvzA7Z2dyXPiW9Yl1Vb+wJMUyQJJA4hTHfHKT8gSvyqBJ/UtK4X8vdMM6Ce9YJ4CjAJUBT0OAT9TNL6v1BnkviK0cGvFr75hm/XhUL0ZhIno9KLzOLKJ+YHSL0VJcJ7azV0zdsJiHsyPPm4wJaGzFM9I3qyFIe2ubTKISV8KU+D/W2AWgAXCakxGAQUDgWkRjzmTf01bRzwbFyYwSoFciGCWypgky8/gG84TnBhE/GiXVGsZJDULbh0Q0Twj7doj10i9O306JDc1aF/fqyS8cwbA0kASQGAv0J7fPX6UP//fCf8E6CRwNqIznaQjwiaz8sk6tf9i0yO9NQqu1IiQ9YqCHiNMPlfcObu8d3G4YLteJA0SEa4jaTMOrJoRW6g0PIwG2ZWeqIYhSrmAommNYVIEpZMoP6n2PckolSsDxKAcsBIm2IIaO1qLKgSFP9MIlSASPRAISyatHonoRb/Qi63TiarUT2zTiKN1IelCcfHTITyZTV39R/jApLn7LupTaqt9ZgmcpoHCg/yrW/5Q+/N8Lb0017h0Inib4blm/8WUjMnDplJjnfUTtWlG8WiyoRYFuOPQKo4xEjGE06C4BJBq0okmTmNbxEb/ojVmGspC5NUNdrQeJE6hCKRVLBFG5D+pV1cjTBE8SwNHAkTyJAcOCjygbMXSdKLrdP7xaJxJHokEV2xULPWJQjVixRpIEiZchsaAZCwOSmKEhj3tO3XD0QlV87PL0dWuqq16wOLzP+qe2z1+lD//3wgd8f4x1YVz3FV37sgkZtNoqpqlXuKJHJCCxgESBVhjohYJmAKseAkgUICGAhFD6IW3mwb8j5iswgLztOT0QNblUppQrKIIUPDg+xjpFAssAQwKKAkqBS3AmouMwIuh6P1GtZhSBxAAS9z4IJEqKRCiQMB4RgUEM0cf35x5WG3afqYqOW5e6bvPLJ3X0W9YZlAWK/2uy+P3bu+h/uYfvflb1Iev0O9aHbJyU0G4ahRnEgk4CaMWBYRQYR0CvMDCIBN1EQCJAO4LrFymxEFVrjN7YIoeM9M09EDVMiTIUDTwIVvtHe3gSGAYoEuRKUJDgGLwV0bIdEXh5cHSNQRzaIwGQRECSAEkCtSTokURrJOEaS1n1JaCVAKbJ1LDoqt6zsg9dro+M27hxXcbzqnqKAIYGigAGZYBiPzVV61+lFP73QjesUzxD8TTBv8c6yTMQ4Bt27at6xDhmbMhjI9+X2gGt6sFy9QC5rm+bgU9z35DOPuFyozhWK0xpGN42MLzOMuwnzVGqe11HSxtHMRzFGIqmSUZYAOiWdQLnGRpoCpQY4Bx4RWYiPe2nRFwcHHK/V1itpkisFoEjETgSKe8R2a4Z+VottEYvpkUrVqIW2mgcWT00/Jue1qvLTv4aHbdh47qMZ1X1JAkUAyQJNEYB/Sfm8P8vs85CgG/Ija+q9YbHL0z6eVz07yNj60Yktg6LfzMy+tWY6BrzkCdDRc+HxjaahD0bFPbYIvzB1LCbehYxJEDqpg1qCCKTSIFTmebCMly3rONKWtghSaAAghOyERO7RfHnJkTcHhn5q1lUrWl0s0lMs2lMw4DYlwNjn5iE/jA88fngJbVG4T+Zx96fGHdl8JyUA2e+j4lbtXFd2rOnNbiQI47iSZyAP2O5/d/IOktDt5BLUeABRylBkhB48PHyv3jth97mnroWiZoTUrWm52nP2qkze5fezB36nxUazChCxmX0mFao/lkBMjEDGZ5oPm8T0mtm+cU7Ls6OGj3UFTK5YLnxLAjrcV3jehflwvoMMIDLMZJgMRLc/BIQtRGmE0S9J6/RnZytMaVYbeouZOouxLpEzbqgh3UuYrHe2KYMsUzt635Qb/5WZHQwYjQldmlaVETs9szM6upaIVJUosQxAmUZ6v11+HfU/s/ngvh74WOsv12I5XkWZBI5jhIJcYnf3Pt1e+ml7N13M/f/mvH5s81HqlM/f5l6oCp132/bvqgpONe06fCzVbt/3nbyefahh1vKbmYVnTpx+sLVK5esxlo2vKoncYLECZbmhEX+f2RdkCPmSRY46GxtAx5CREmxyVvPVVbn7Pkhc09V+t6azXvrU/fVp+6rSd3/In1f1cHL4jU7Hqw7+NuKAz+tO3w/7WBlwd7Thw998fDu10tjIl++qFISeFNnBwnAAyeViini35MB5O8FloJ3eI/19tYOQXu6qaGxqaGRwPDgwKCRI8aOmzDXcuIii0nOwye5DpnoOmicU//Ri01G2ZhPdBkwxtZ8suu4uf6jp7taTrO3nLRg4pTZY8da2S62UUOQp0+qZBJpw6v6J79VCY/gumVd3NTR0djCoVhrYyND4AH+IYMHj5k4xdbC0n7UWLeRY3yHj/UfZuk7zNJ7mJX7cEu3ERaOo8e7DproNGSm20DrheMX2I8dP2Hi6JHTx46w+Wzyrz99X137XMlScppQkqhUKv1rWP+3m17/KrpnnQMeKILckp4xd/YcZ0enVStWisLCPdzco8NjIsLiwkPjg0Li/YPjfAKivfwiPX0jfANjfAKiQkRJouilAcEiVxfPoIBgHw/P4KAAdzeXpIREd1c3f1+/BfPme3v6CLL23bJ+5cylGeMnezs5hwb4hgT4Bvr6hIeKHGzdQgLiQvyTQvyTg/2XBfsnBwUsDQhMCgpMCPOND/GNsXH28YuJtwv0dfJ19XJ3CPN0DHezd18wOzo8ODwiZJGjvX9osBJDMQxj/k353P5m6IZ1jqW5V7X1LM3sKtt55vTJrkgLpVSiclXoir7oipSgeODh0oWLEaEhG1evToyJXL9q+YbVKxJiohPiY1cuXxEfG7d/7z7gwdHe6U1zy8dYrzh2dmX8EmA54BngGZYhVIEKXSlzaNUJ8ADAQduLN+FeIUtTkiOXxsSuihHFB6ZvWr46Njxr+bL05OQdObkEQXz/48ONaekszcHHs/18Guv/9i76f6CH51iaowgSeEhPS92zeycAh2NKAAaTy1S+DRQAxb3vqcLgNPBweNfuOdZT/FycQr09IwL9PZ2dw4ODXJwd7W3tZs2YGeDnz9JMSFAoiVMfY/34vqPrlq4EDqQd7QSuAGBQpZQlMZWOdVfEDwALADz8dOu7aSPHeXm6zrWd4eRv6x/m4uu+SOTpkhwQvHDc1GUxSTRG3f/uYdrmra0NbagYY7G/IsfTv522/znWWZop2VF07Ojn3977Kiw0cOqUCbNnzpo5de6MSXNnTpwxc8L0WROnzZ06e97MBfNm21hPnjHTeta4ERYjBgwcNWjwpNGWxga9J1lNHDbU3Kh3zzEWo62nTO1jZHz96rXQ4DDBpaJb1q+du7Jp5Trg4Ks7X7p5uFpPn2zvsGiUxbCZ06bMsraeZW09c9r06dNnTJkxY8KsWVOnz545dnp/LeM+fYx6DzLsN9LI1LyX1eghI/v2G29iPky/v6le32CfkKL80uyMnNaaVqCBxbj/zzrPU3+YvatU+4UF1Py83NiYqPy83LTNG0JDgtxcXL3cA9xd/N0dPNxtXT3s3DwcPbzdfL09/F2dPF2dPWznLwr3Cwz28vV29RwyYOj9b3+4fvXamNGjPN09bBYs3Lh+Q0Jc/KQJkwU32S7jrWuRgKVhf9n+/Oztz3576ufnV1JWOn/hPFd3F3uHRW6uzm6uzh4uzm4uri5uro7u7raeno5uXh6LPWICo5ydHR28HJ39HYdYDDj5xeEJw0fG+0eEugaEe4cmRCf5eAY42bqwCg5oYLEuJyqGI3nBfOcprmv/w+27VvpAH/6dH9d/IHgKPubP0/6mBTj++JGjWj3UN2/Y+PMPD/5Z1CYAxwFFMQT2zhVa3CHZuDH1xo0ba9eulUgkACAWiwsKCiZNmtTQ0EAQhEKhkMvlPA8AoFCgYrEUAM6dKd+WlT1i2PDS0tInT54Isk+qPh1UdQl/WVXABQAHcrmcYkgWmB2lhUePHN5dWvbo4S9CUErpjrLc3LysrdlNDc0USrI4zeKqLUcwHEHxJMuT9Ns8Qh9seYoTfEC6oNKR/bcz9y+B4rp326Jo4KHuZXVSXHwvfYNoUcSRg4fOnjy1LSu7tLS0tLS07G3Z+bYUFxeXlJTk5+cfOHCgpKSkuLg4Pz9/7ty5d+/eXbNmTWZmZn5+/pEjRzZv3jxy5MjQ0NBHjx5RFCWo9ykUCpZlaZpWKpUVFRXm5uZGRkY5OTnbtm07fPjw6dOnd+zYUfqRcurUqaysrIMHD+7atSs3NzcjIyM0NPT+/fuZmZnHjh1LTU0tKSmxt7fftm3bnj17aqtrGIJkcZIjKAE8SQt4lzrqPfA0w6sEgz8oyEcjm/5DIKTk+EfU170KCwlVQ5D30de4D9JdUVNT09DQ0NPTU1NT09fX19DQUFNTMzAwQBBk6NChpqammpqaCIJoa2traGgIX3F2dr5x4wYAkCQplUpZlmVZViqVhoeHCwc0NDTstq4/FOGAampqRkZGQhUIgnh5eQ0cONDAwEBLS0tXV1dDQ0NTU3P48OEOdvYs+QHf7zim2W7w1in2/zbWOYbtFsBDZ3sHTVJCfBdFkEIYG8+/7WQ/LIIIH0mSwkthh+O4rne6NJyEHUHEDQAwDENRVJB8kcvlEolE+Iqg8QUABEF0W6NQhLFDLpcLL7t2hNpZllUoFDzPqw7CA0f9N8h+j3Xg+H8syEfzrv6HQBWx1x1YmgEeMCUqFUuEVM8szQgigvTb0iWySVEUwzCCRBPHcRiGYRgmaHEKvbcgzyiXy8VisVQqpWmaIAi5XM4wTBe7glArSZKdnZ0dHR1yuZymaRRF36/xD0WhUNA0TZKkWCzmOE5QC1IoFCiK4jiuUChIkhQuNZZlOYblaYanGWBYYN5mNfrn6J71j2Tq+s/AP8hSfBCBgOECgAccxTAlyjHsH/hm35b373ihCNeHQqHAMEzgUqlUChxwHCeTyUiSVAlRMgyGYcIw39HRQRBE140uHBPHcfYjhaIooasQ/plhmK7uRDiIcFUJ5wAA3Ptkc7wKPLzb/wO6K8g/m9n+p6C70tVMAhldt+PH+9o/FuEWF3be57WLCQAQLqCu/wcAsVjc9VKpVMrl8j+MEX8o719nAKBUKgU9b+Ej4YQpisJxXCKRMAzD/4HsP9U4/wfXzn+jj18gfAAAAABJRU5ErkJggg==)
Keungguluan jaringan model pohon seperti ini adalah, dapat terbentuknya suatu kelompok yang dibutuhkan pada setiap saat.
- Kontrolmanajemenlebihmudah karena bersifat terpusatdan terbagi
- apabila simpul yang lebih tinggi kemudian tidak berfungsi, maka kelompok lainnya yang berada dibawahnya akhirnya juga menjadi tidak efektif.
- Cara kerja jaringan pohon ini relatif menjadi lambat.
- Jika salah satu node rusak maka node yang berada di jenjang bagian bawahtidak berfungsi
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