vla-move 移动选择集的图元
vla-move 移动选择集SS的图元从P1点到P2点如何操作，各位大佬，这个和CAD中的MOVE速度怎样{:1_1:}本帖最后由 llsheng_73 于 2024-12-17 12:42 编辑
move命令更简单，它可以直接处理选择集
由于选择集没有move方法，move方法只能适用于图形图元对象，因此要通过move方法来处理选择集，得对选择集内图形图元进行逐一操作，和move命令比起来，这显得比较繁琐。
个人认为直接比较move命令和move方法的速度是无意义的，因为各自擅长的环境不同
对于不支持命令的环境，比如dbx、块内对象等情况，只能使用move方法而不能命令move命令
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8LcnrJTweZpva9JThnd2ercHXccpgiTZwLvQuI8qz20iihhNwweDz11vpDeWW3jwvGAgIQgAAEILBSAuPEVr3R6+Zey6vaMCgb94SrvkMjwqIwqsh1Q1YG7jDZxptUUR6Jr7yKqctnIsPt9n11in/jVe+MhVtPos3u5I0hXMoc0nu4KqMYERHWzV5ads8PmHlr/cP07IAuMIEABCAAAQi8n8DkYkt0RWrNa4U0U+iA4sDB6JsPJt2QzrEaiu2P79/j1/blWF7FvMiXTproio80nUIUp/uvhb+Y3s3bvJvjPYoq73IoLSX7U6/vq7+8kflU0RhDAAIQgAAEVkhgnNiqnvHY3l5ulPV9rtC/2aaj9u/flU/YqoeKoueKaf2Wl7/f46VKSKfH5S2ksqZYonxLLC9ZWU+evPvSFCu93HKosqwwqRV30JltzaGGnIOne1Uez70G3lN/cf343u+VyjkIQAACEIDAqgmMFFtBBaQvbbsvaMfd/Mu3b3pGVJEnUAmbKpB+P6mcLxRCEg0hbzEdv3vlJ7XCVIYeJi89bAQKzVWxy3o6qX2HYeyiVxDcGYtiLQnUmF5sw4GYWDiZsTBmJWHMOgVwx3XJxbFkdo9A83l3xhJbKZJ4XP1FcL+WRXEcQAACEIAABDZFYLTYGtul3ZAZGwG/UQSK7+aPioATBCAAAQhAAAIjCCwjttydj6H3Vkb0gssdAq2bdXfMOQUBCEAAAhCAwEQElhFbExVLGAhAAAIQgAAEILA1Aoitra0Y9UIAAhCAAAQgsCkCiK1NLRfFQgACEIAABCCwNQKIra2tGPVCAAIQgAAEILApAoitTS0XxUIAAhCAAAQgsDUCiK2trRj1QgACEIAABCCwKQKIrU0tF8VCAAIQgAAEILA1Aoitra0Y9UIAAhCAAAQgsCkCiK1NLRfFQgACEIAABCCwNQKIra2tGPVCAAIQgAAEILApAlOIrb/74+3/+Fe3f/kvNvbf3/1xUytFsRCAAAQgAAEIbJLAy2Lrf/zvb3/6J1v973/+nza5aBQNAQhAAAIQgMB2CLwmtv7uj1uVWSoQub+1nYuVSiEAAQhAAAJbJPCa2Pqrv8xi67/8z25/9Zdb+u+/+69z5X/z11tcNmqGAAQgAAEIQGArBCYSW3/1l1tpONepMnFzlW8MNOVCAAIQgAAEjk4AsbU1mXj0K5b+IQABCEAAAhsjgNhCbG3skqVcCEAAAhCAwLYIILYQW9u6YqkWAhCAAAQgsDECiC3E1sYuWcqFAAQgAAEIbIsAYguxta0rlmohAAEIQAACGyOA2EJsbeySpVwIQAACEIDAtgggthBb27piqRYCEIAABCCwMQKILcTWxi5ZyoUABCAAAQhsiwBiC7G1rSuWaiEAAQhAAAIbI4DYQmxt7JKlXAhAAAIQgMC2CMwutn58+3JKP1++/Yhs4owctGl9/3r6+r19aqJZ/rmeiUASBgIQgAAEIACB+wTmFVtBV6lq+v71JBLr+1cZ3a/uhbPfv2riVhTEVosKcxCAAAQgAAEITE5gVrFVa6of374kBRRPfP9a3fK63XTqdFJhllp2Z0qd5u+cfcsazhnHFA3Zhdia/FIiIAQgAAEIQAACLQJziq1aa91uP759jc8SoxpS0dR6aCiWqeYikrtDVt85cwqNO1ut5WYOAhCAAAQgAIGlCbxNbBV3m7rKqBBb9Z2qU342WRhV5LohCwPubBU4OIAABCAAAQhAYC4Cc4qtW3FD6hZubPnHiK6lrjIqdFRx4Nz65oNJN6RzvN0QWwUODiAAAQhAAAIQmIvArGIrqKueL8j772Q9foz449sXfejoSZTzVTbxKKbFG7ElJHiFAAQgAAEIQGBWAvOKrXQ3q/oefBA/py/fvsn3490XrazVzk2r8lGiPYT08zZbJC6mcwrElrFmBAEIQAACEIDAjARmF1sja6+fQI4M0+uG2OpFM+rEH//97fsv4eEs/0EAAncIfP/l9sd/P+o9hhMEILBhAqsSW/GeV/kXUOdCi9iakOz/9vPtT/+E/yAAgaEE/vf/dcL3H6EgAIH1E1iV2FoQF2JrKtj/7vdDNxgEGQQgoAT+w7+b6i1IHAhAYP0EEFv824ivXaXff8li68/OPEOEAAQeEPizc36//Jt//dobD28IQGBLBBBbiK3XrlfuEb7GD+9jEeD9cqz1plsIZAKILcTWa28GNo/X+OF9LAK8X4613nQLgUwAsYXYeu3NwObxGj+8j0WA98ux1ptuIZAJvCa2/uav8/cP/tl/c/uX/2JL//1X/3mu/G/+mmvhJQJsHi/hw/lgBHi/HGzBaRcCicBrYusf/yFLFv0Vm80N/vEfuBReIsDm8RI+nA9GgPfLwRacdiGQCLwmtm6322/+7Yb11m/+LdfBqwTYPF4liP+RCPB+OdJq0ysElMDLYut2u/3jP9z+5q8f/MLznT+p/JZTf/PXoWx+XifA5vE6QyIchwDvl+OsNZ1CwBGYQmy5cAwPR2D45vFPvz3/9NPp599+KqM//Hr66afLH243HeipZPzTT6f8368feurFQTfXkwE/ftWqfjr/9p+ydwxrh2l2XK5/+u351z88WZSYdyHfbjcf0I/FKbxqqc1GvKUf90VLNvUiOlw+iIwVbLgk9voz/P2yVwL0BYFDEkBsHXLZJ2x68Obx+dufTz//fP7p56vok2qDL7bYuE+Ldvmn688/nX6aTm+90H4UBNJCEhNJGD2lUe4V8IfLTz+dxoqtBuSbD+jHPUU80cijaMUi3kJtfvXr/DGa1+K1wS6OB79fdtEtTUAAApkAYotL4TUCQzePIJjOv/1DkE2qJMq7Kf1iy913SdIhiLaf0s4dt/B8qymKs6jM8p4d9++s0mRekyYp8OuvMZTddJGAP5+7Cq9UD7ebExBJo1TRNFe6vZTv0olWKyZTAUlWxnZiC1JMmCn4tBetC9kH/L/+l9CRBk/iRkj+38VdxnOrkaR9o9z89ePmI8e7lUl6yrqEAitc92i4aGm9utE6S5/ix44EacpYFS+VpN5FwefyCvc21Ulnh75fJk1KMAhA4N0EEFvvXoGt5x+4ecRd8PKHpE7kHpXuvjpQGtU+bYdeP6X9Mm+0IgKcAIpe+W6KRtBc6WzQNGmnj1WpWdray9tpjXszah/DpoekSSEFbVTmKsVKeHRnN7HU0k9q8NutuKOmlKpBtK8h+4DdsTaoBfQ3cq/+utQKZijUWmgap9qSSr5joAU3beJkXAW3pr5rbbPpXvGc43Dg+2WO1MSEAATeRwCx9T72+8g8bPOI+sM24HyTRnc+HSgTtxfGOdUlOlDTrGnsFkX0zVrn518vP+vXwqIs01wuRUOoZXEgujBmeyi28l0TjSy5CkeZNCnmWikUWIwz/PlpG7KXGr1jpwtjec1G7oitdoO5frmdJjfn2sZObN0zkNuibRsl75dPgTvObXdnMNdw2PtlruzEhQAE3kQAsfUm8LtJO2jziLcZ/KM99z2n4g6QYnG7Zpizw1Js5e08SCK7cRLvVJ1/+09hQ/31D5+//TmPUwG69VrM5BuC+D04jp8TW1lEqqaRXDGUaY7TT+GhYZoUF+28bDBGSM+/HqmuHshaTMjgg/txLbakKrGJZTwSW3WD9arJTakmjVxbXKN7BoXYupOxWtP6IWxPCl2F2QaD3i+zZScwBCDwJgKIrTeB303aIZtHlkR+a4wiRrRI4x6PU0IBVTyMCkC2/wgwbpn1Y8T8xMrf04rj/F0xTepSDLyz5dRDXj8rwMkRM5NcZubXXc76uVIP2ZkkDkQD2byN+iD3CqyCpC1BfyOPxJZ8cUprcoRT/LQEbRqpThNbnWhFI4Us1oRG/qk7W+Y//2jI+2X+KsgAAQgsTACxtTDw3aUbsHlUQsEOVW3oQPH4fdpvnI0dN920iNJBf9ktBvTf1rIvmGsul0LFltutU8DizlbxxSORgF7Due9s9T6ydFLDyR0rxk3GUvMTPS1bEZUDoxrn3aELWNDz8/WdrbqRqrx8j8pFMAMng9zkLX8xLmJx8zWNdPfxjoHc2XIr1c5oa+q71sg6KG9nllBnOBrwfpkhKyEhAIE3E0BsvXkBNp/+8ebhv6oc2437XNAoKiB0oDiSTf71Pf93H9wGH4xT8HDP7PKr/D5dmI9mXhPIMyxL6rZbtzGnnTtkvIS/p1WLLdFb+S5dVkLyd6qav8SXb0fFHtMDQbtB5dsUGRGLkdTOS3N9XE7nq/21ssS0/usYCjlL1RzQBS9J6hLEQd2IC+KxuGj+m3PyzM4RjmsSFqjQpnF9hUasJ4kt4VniKgtu2riMfk2TMstPY4VzvtlW1BBZzvo/j98vs6YnOAQg8B4CiK33cN9P1v1uHmG31r1/3IKpghnn3uf1eb3UYqvPlPmVEdjv+2VloCkHAusigNha13psr5oBm0e+o2C3qfyXtxg/RyD8ca+W1gLy6wSWePcNeL8sUQY5IACBZQkgtpblvb9sbB77W1M6mo8A75f52BIZAismgNha8eJsojQ2j00sE0WuhADvl5UsBGVAYFkCiK1lee8vG5vH/taUjuYjwPtlPrZEhsCKCSC2Vrw4myiNzWMTy0SRKyHA+2UlC0EZEFiWAGJrWd77y/Zw8/i8nk/dn/P1b6/n0+VjGiAhRydWc3KafM9HaRbTnHw+9hCPZqrm5JBoI2xG5mr9mYsR2b2LVqIDf3bu8cP3y9wFEB8CEHgHAcTWO6jvKefwzaPa26rDl5hMFGuiMK1WJgr9VBhv7Met+maZ80n9+Ilkc4qtJ8pomY7raPj7pZWTOQhAYKMEEFsbXbjVlD1886g2p+rwpYYmijVRmFYrE4V+Kow39uNWfbPM+aR+/EQyxNYTsDCFAARWSwCxtdql2UhhL4qtj0t6xOgeAspU98FgQhK27fSjf0c97uSXHEpm/fbeimlxUia1kQB+BcxYzn5ez+fLJZTial+4Qi25+yflb3ouFpxgyFyuuEmoESr+ba/z6XIV8pePmwKx7iV6BqKH/QXkwNVq3qz2y6Xx1/LDX/HPax08rZnz9Srzdya1ax2EVdOI1o/NNZiovbse6svSX0AyHv5+EQ9eIQCBHRBAbO1gEd/awvDNo9jbwp/mNKESdq60yZlRGMlG5jo007gXmpcYq4GG0kHMmWOqWaokxjFDlzAMnbEOg7Fs9IW5Wni/aF2n1nw6eKpCd9fHDa0Wi9pD2wycvxtaqLRarv5MO0RIsxarNddTQBOsmwyhZF1dMRVhK0AWJBjE2RjAib8wqZXqwKYq/ilyXEcZWhnm3nOFmKkbDX+/OCeGEIDA1gkgtra+gu+uf/jmUWxOafeVHUxP6SC01dr22wb1bNxeZVJeIymJKa8FvsLSnSnmxTNMSv3O1m3cvoU6xBQVOs3hC9Cxz+mr1XkdOH2j3uXATJ04lTteH+WcLlztJLh0XgchmYCV11hAcVCWlI7UoIglB/IabfOBznUHwUwDPotXb4lphFa9w98vLW/mIACBjRJAbG104VZT9vDNQ/e2VLs/1HEY+B/ZnrXdYiMr3HSvk1n/WscM5zqxS52kKd3+G+Z8WM35yFi9omEdIhz7n1DZsAqDIEg/jVIkja+6GHuDqLd6QxX1ezcZh1f/E+HKySKpQ2jCxlkEJ1uaYr2DVfop0iVrn0yXrDWpc8WgU3xINBhvUabGlWr96/D3i/diDAEIbJwAYmvjC/j28odvHtUe5A91rIO+vgoD3eKaszIpr0VIdfWzTUsvDoKxeD5lXIiVTohmKMnjCyzDuDPNuzA+bHPsJzVYM1SR2LvJWF41TBj4yebYTyqVovHiIAcPXirH1KCIJQfyGj3zgc51B0X17qDJRN2rTrURF8CGw98v5sMIAhDYPAHE1uaX8M0NDN88/OZU7U92ykbFVm1Nun3PhsEr779xGG/zaCgd+O3fnGMivROju7ilTHc48q0j9XNRvWnbOOaYuMJQgFSrVflSvIGvVsfF4G6oYjHUzTATRSoAACAASURBVK+im9RhGEhYnfROQZfI995saKPgpBG0NTsf/T3WnE0tfACZ1Ep04LvTyTCQ4sVVSwgDb9BupDDPB8PfLy1v5iAAgY0SQGxtdOFWU/bwzUO3sVS7P/TjtIGGpzqy1VW9BuP0owbRf9BvI6pL2ixzIHkGl0PLoUvcTRpztv8oa9c4beeTVxhEQIXC1RyT5l/X89XqWAfFEzOHyIJ5076xVqMRguW9ArJk6bSQ/U7x1ws1mlYjp8Ml8iF/zzZW1SRcTUbDsHA6CIG7xbu59qWYy8hXSz4qrlu97aal34a/X8yHEQQgsHkCiK3NL+GbG1jv5lHspW+m1E6//grbda9ytgmzOfnW8tf7fnkrFpJDYO8EEFt7X+G5+1vv5tG4rTA3jCfjr7/CJxt6p3lTVzUn31kld7beSp/kEHgbAcTW29DvJPEqxVbYY4vnOauDvf4KV4fsQUFNXdWcfBBo3tOrfL/M2zLRIQCB2w2xxVXwGgE2j9f44X0sArxfjrXedAuBTACxxaXwGgE2j9f44X0sArxfjrXedAuBTACxxaXwGgE2j9f44X0sArxfjrXedAuBTACxxaXwGgE2j9f44X0sArxfjrXedAuBTACxxaXwGgE2j9f44X0sArxfjrXedAuBTACxxaXwGgE2j9f44X0sArxfjrXedAuBTACxxaXwGoHvv9z+9E/Cf//tfxH+hhD/QQACdwj82Tm/X/7Nv37tjYc3BCCwJQKIrS2t1hpr/f3/kzePJLn4XwhAYAiBP/x/a3w7UxMEIDAPAcTWPFwPFfV/+GfoLQhA4AkCl39+qE8ImoUABBBbXANTEPhP97f+z3/FM0QIQOABge+/3H78v1O85YgBAQhsiQBia0urRa0QgAAEIAABCGyOAGJrc0tGwRCAAAQgAAEIbIkAYmtLq0WtEIAABCAAAQhsjgBia3NLRsEQgAAEIAABCGyJAGJrS6tFrRCAAAQgAAEIbI4AYmtzS0bBEIAABCAAAQhsiQBia0urRa0QgAAEIAABCGyOAGJrc0tGwRCAAAQgAAEIbIkAYmtLq0WtEIAABCAAAQhsjgBia3NLRsEQgAAEIAABCGyJAGJrS6tFrRCAAAQgAAEIbI4AYmtzS0bBEIAABCAAAQhsiQBia0urRa0QgAAEIAABCGyOwLxi6/vXk//58u3HEEA/vn0ZaHkn2o9vX06n0+tx7qTgFAQgAAEIQAACEHhIYF6xdbv9+Pbl63ep4vvX6cXP968WX/Lcbt+/nr5+v/349nWYvDNHRhCAAAQgAAEIQGBSAouKrZtTRu6ml1NLMluIsjj59Vu8VRVulKm9WMvdMz2RESG2Jr1WCAYBCEAAAhCAwAgCi4otvbP1/at7wNd9aqh22lCQVSKlyrNOv6m1DBBbQoJXCEAAAhCAAATeRWABsSX3newbVLVAqkVRKacCGu9RWvszNcTSsj7LMQQgAAEIQAACEJifwAJiS+5IWTO1QKpFEWLLWDGCAAQgAAEIQGDbBN4itm6lmqq1VnU6APbyrDS3UOH3D0thV1pue6GoHgIQgAAEIACBbRKYV2y5b7AXX3mPvy5ojxdFIqU/12Dz+XtaEiWYiYmFkxn7UpdZSSiz3uYqUTUEIAABCEAAApslMK/Y2iwWCocABCAAAQhAAALTEEBsTcORKBCAAAQgAAEIQKBJALHVxMIkBCAAAQhAAAIQmIYAYmsajkSBAAQgAAEIQAACTQKIrSYWJiEAAQhAAAIQgMA0BBBb03AkCgQgAAEIQAACEGgSQGw1sTAJAQhAAAIQgAAEpiGA2JqGI1EgAAEIQAACEIBAkwBiq4mFSQhAAAIQgAAEIDANAcTWNByJAgEIQAACEIAABJoEEFtNLExOSODzej6dLh9VxI9LY7KyCYfBu+PcsBs69Xk9n6+fhfXUKYrg1cGSuarU7z4MK346nWr6WtbHpf+cGpWDFs3WXOnVOfq8nh9eYiPCdvJMM7GeSqbphygQOAQBxNYhlvnNTTaEVWNqsiLv7UYflyTdvI0fT1ZET6DFci2WqKfRzvRDLfXQoBOyqcRHNS6XRTfF1DOjyiuKeD1CEY4DCEBgCQKIrSUoHz5HR1p1JqZE1L8b2W0tb+PHU9bRirVYrsUStbpszD2u551i6zYieaPJAVOPOTwK8nqERxk4DwEITE4AsTU5UgI2CFTiqtjawjn5SU9zgia6XM6n8KDRby1Ny9PlGp5Thp/4hEqNus+rVGuVNimFzOUHSr6G0JCcLp5pNid9+x0D304jZjyt/Vw+4r2b2Js952rHVKdHEFwrEXAo1zfrx75vMQ7prZjmzaX08NetSWgr/zjXCMq6udhjRLOXRfTcbBxHl3z9ZFM766t3aTVj8dTSLkkb+ZXUsHFQ0s4Er1e5klM2dbGn4Zpb+qpTOGjiVeeSsIMWwsdnDAEIvI8AYut97A+VudgZ/HbmToRh3ITCdiIbumwtSSPkPbO0zBuXRjKXErGfr8eSrwgiNThFEfw6u7qb9BkthxmUc7Ypu5gSP5SSx33+ySuc9U4xqiXyJWX90cSYJ2O0PI5ysGUs5x0Zl0YhukVr12OWrgmbtPze3cbOSU3Ls6nQMGdXSR4FDxk+/m6ghm3lFHWZsoX6Q2B1EdkUvrfoJx0yR8oNm7k0gg5CnOKgCMwBBCCwAgKIrRUswiFKcJtBscn55uVEsJVt0Pk507uWbRe3h1V7UzNdczJU4FOr5pBJV2K5/YmB1qYDH7Pw8RYylteYx8fs4CosfVl+3BdBonlbbdwX2cxSTPoUikviysl4LAcP3c3ARqYidU4HIboEDwPV0FJGkb6YtAONFgbCRyc9ExU+dlan3MBCx5E31mqbuczSRmX+KjSHEIDA+wkgtt6/BgepQHcG3fdy4+GE/sRtTE0bqmiApXf3cH1ib9Mc15OaV243BQP/Eyq3Of8EMFuVrZlpOp327zqryBOZb3rJydCrjnXgCaRxEaSsykfoMy6TpLqLJJ6zFtSqJ8yZv7jJa4wpbvIaJm1sI5vWuTDwP5op6K30I3hD1CJt0U9RiMveW0mOpZVYcd4lRtI6ivTiKa9F125Sh/qAvFs4MxCAwBoIILbWsArHqCHtDLo/pKbDod8F49jb6Pg5S7+NCl4N5Te/vnGfsQQrNl2d9AMfQed1Ugd6Kgz8bGvs59TRT+pYB2qWBmF+GPBcTsc4xEm/vdezxRepRUQUk1KTnIzHclBYtibNwEamlnROB5Ktfi1vckmm2iofazQdFMvlZ2UV/ZyOdVDlKealFj+pYx2ECHcXokrBIQQg8D4CiK33sT9c5rBLnM/ln81yG1684dAvtoZbxjzV39IKsP0u5W3q+SjU/KT3tHkb+fNuVVsGNmcj5+4m3awr3RnoUAe+xzCpOskVNRxj2srlmZutTgwWNvlr90+WpURVji5PrccsQ725YJsMWiIXYKNomcS0c9LZMLCzaWQsw1nBYiE9OK2tHGhYHRROYVYCa1wdxPypKl9AkcGMretmLj+Z1FbvQhQJOIAABN5IALH1RvjHSx02FNm9c/dxl4oPU87Xj7xP+u3Exk9b5o3WMFusJF9yMfV09POTIUIsPdQpW3XvpOVreBVhuzH96b5xx6ttGGY7tLNASA+vHgHvMU79NZbSNZ6TO1y+SGeYZEi0u9r31bvuumBhAa75j6UlDTXotxHdqim/eimzjdxW8lW25a5puGYl/TW31sVZa2Eemo51MGQhyiY4ggAE3kUAsfUu8uR9A4Ge515vqGTzKastf+v9eIX1eb007ove7/B9ON6X+T4RzkIAAp4AYsvTYLx7Asv9qfB9o9zZFu8vizFay93jWnjdd7YQC9MjHQQWI4DYWgw1iVZBgJtbry5D2N7bz8Fejfwu/wmuiXdonv0txLsuAPJCYH4CiK35GZMBAhCAAAQgAIEDE0BsHXjxaR0CEIAABCAAgfkJILbmZ0wGCEAAAhCAAAQOTACxdeDFX6b1/M2S9NcG9H/P17/Vv4f0ZB3dX93vpHC/6G/Bg5//axAxjrcsDHxM7xW/Cq1tFAEt1Uwj+ZW5UFtR00z5Zg/rGsmr6tdD0zsznRs5GBsql7fkl9XGltokcw9v8QfDmt5MQgACrxJAbL1KEP+hBKrNozocGCV4yYas4qgOFU6IkcX1rvlvb1/kDzYFK3deI8u8apviTBJey8keEVvW0+BRjWiw40KGL7T2sELfux8/dDSD58sbmchSPhg9F79Vv4/gxw8Sb+f0LpvaDn4qrQggtiogHM5GoPrsqw7HpJUtpBuq1EQ5dmGWftnf/8q/RLM/4C01Bcck3tTGn1pMbXWySxWPX4veH5svbTFreT64Hw9vcoTXCJfh9Tx7L6pZjJ/046fKWLPxLptaM3Bqu0sAsXUXDycnJFB99qXDoIqqZzMypXeTemoIAZIEqiIH+6YucRIs/7a/+6V/9XBWncwh06O6olM0rFuzSXffrTsZirpcwt9XiDLOeFzy31gPLvFUHFzTn2LwN/PUJcfQY82rM04p6lzjtmBsqmEQAV7lX3a2YGpqU/4BbJ5NjRiB+lLIjeaX/GfcG/1qhPBPCFXro5XE3lMomXPFyVTlXfwV/fgvFCn55hqZKE+Lr8D1Uuohpi0o/Htda7Xd+J2/RG+RfW9lhBFYQkPRTdfD/+PrStayO/4ZRsrq/3kGdRNcaqLpPnrsLVFqs2ywWEeBVr3RJCevEJiDAGJrDqrEbBEoPjdlS0ifruGDMY3MKIzkU7EOlz9Y5bQ5qWFjykuwuON9pk/gFMUcVHVpsGKgH+JScnE2HVg/aT8KG4S/YWbnbWTnY3ey7ZhBnI7Faq025cObS4xZuoRK1D+OMkXXthu65tysDWMFee1C3ipZOG3xZbPX/HcGvs7CrBvP+g2G3WVRd91xn73qNEIxkHa8slcyaukIxmE4ITUqMWuhvAxiodGjptgb/24oX4yPUBc18M1YV5bXJkynervFuKz5TWgz5md12tlwsYaoNuPsXSI9r4MQzRnoMBjoIlpKRhCYgwBiaw6qxGwRKD770o6fdxD7/CxsdONqRfOfn4VXMm5MhRPy2FBe40ysojvTk1Wnw2d2+BFZpCf85muTRUXSWu+kkBHDGEcO1CsMxFInLWVqOBr4s35steoWVPi7g6ZBESsfFHNSs7y6gE71mYuNGldFONnpt4jcKtKFjDE7EbyBAXGVqkExkDjBpXMVqKULE4fFiXxQzEk/OhkGkquY7F55DmlI1gnli9FQWYPeTyGhfARboULBWxE+hRSjcx3t5Ap2WQbZP1WdVFJcDC4jQwjMQQCxNQdVYrYI6KdmOukPdRwG/kc2gFa8u3tJ89M37gIhpCkr0V9uprV1tvNXu5QYhSa6hRcVScPNSTnZCS/WaqCDxmanGGMptaWedf9WdMCSf1rbeNoLKwMfVxYkzPmfUECY6zJRbx3YRh1csoee1YHrN8xZZG/h10Ma8ud1HAb+x8LlEIVlDKUz2aKDrjaQYgqBIsRkYaOReMpr4dGc1Ni1XBFrefWG7bAObDS4i+VhiL6+AmBZ3lCb/2nBf2QfYnT8iur6KumI5AIRBxCYjgBiazqWRLpPoPrE94c61sH9UPmsfIJ2vXoFU/yI/9BtPO0t52sx03WWGXl11XVzyw7qjMKwMGxW3pqUuRhMDjSUDnz8MKk7T8fFW1YV6mGjTT0nheRdylcgLRZz4iiFyHF8VUsdhOkkfGUz9gV7Mx0XkVulq6UP5cfeoKhPDtSgOxCT/Kr51bIyEEhpOlsVxtKPTupgSM3euLiFI3JT6/GWzbGfVK9i4C1aYz+nxYQFdu+4wqaIrgeP7YWZuoSBj+zHWkkxWbhyAIHJCSC2JkdKwB4C1UebP7SxjYrPSg2pm1n6ME2iwjlFw2CkckNd0yB8LJ/llkmc+ryeL5eLtw/xLIA/8uPgHI69Z07mqjQLN2lDG4UtICmY4KJbo87GXCmZGujAby3mEUOaixbq3HQYBmLgIuSGqlbNILiJn85qUL/h6VlHTQ11EPMFtXV1gljP6sD3a+ASImOXiw9e0lo7gpt1w7L38oaWNwtjia9d+kkLlOsWc7XWQZSa1WVQ59JKJGkR/24ob+krbKbw70BvYEH8bHPcKkbukEr1ztENLckge5coBImxdRBiOQMd9qUrcnMAgWkIILam4UiUxwSqjzZ/6MdJIYQHC/JpXIYOtvlHFImbSmfkROmZjsJHbRk5zHR26DhZ5bEAUkEVyfK5kqwYm3QFdCfDjDllBRGKvjZ/GzF++97LGh/xQ2LlSYmr7blKdK6vq4ZBrPWSHz+2Yrk5q0vai96hfh04xFKqO+vN6nFckov8wqathOibtMS1lybR3lzBGkS9ugNXcKxA3YNp47pKrXaJZXN32Tdz6aRcFtqAFitnWqHMaAosxbJZZW7B0jC9W5SM3rzUau7CD1buKX8+7MQ0gHJ1CYiMyAykEl9yzCEntDAGEJiMAGJrMpQEgsDxCJT71VT9j4/afJ40VVmTxBnf2yTpCQIBCLyFAGLrLdhJCoF9EJhFOjwXNFjLLYlwi6Rxr2dNrJ9rbk2VUwsEIDCeAGJrPDs8IXB4AlNLhxCv9fDtLujsFBxFdd21f+vJqYm9tRmSQwACAwkgtgaCwgwCEIAABCAAAQiMIYDYGkMNHwhAAAIQgAAEIDCQAGJrICjMIAABCEAAAhCAwBgCiK0x1PCBAAQgAAEIQAACAwkgtgaCwgwCEIAABCAAAQiMIYDYGkMNHwhAAAIQgAAEIDCQAGJrICjMIAABCEAAAhCAwBgCiK0x1PCBAAQgAAEIQAACAwkgtgaCwgwCEIAABCAAAQiMIYDYGkMNHwhAAAIQgAAEIDCQAGJrICjMIAABCEAAAhCAwBgCiK0x1PCBAAQgAAEIQAACAwkgtgaCwgwCEIAABCAAAQiMIYDYGkMNHwhAAAIQgAAEIDCQAGJrICjMIAABCEAAAhCAwBgCiK0x1PCBAAQgAAEIQAACAwkgtgaCwgwCEIAABCAAAQiMIYDYGkMNHwhAAAIQgAAEIDCQAGJrICjMIAABCEAAAhCAwBgCiK0x1PCBAAQgAAEIQAACAwkgtgaCwgwCEIAABCAAAQiMIYDYGkMNHwhAAAIQgAAEIDCQAGJrICjMIAABCEAAAhCAwBgC84qt719P/ufLtx9Davzx7ctAy/5oP759yZlfDtWfhDMQgAAEIAABCEDgEYF5xdbt9uPbl6/fpYjvX6dXPt+/WnzJc/v+9aSzfqwGDCAAAQhAAAIQgMAyBBYVWzenjNxNL9VFt6CS4k8hyuLk1296r0rtxVrunumJgp1LWsxzAAEIQAACEIAABOYnsKjY0jtb37+eTE51nxqqnfYfZJVIqfLsIylVWmtABhCAAAQgAAEIQGARAguILbnvdFKBVQukH9++Ft/m6gok71Fa+zMdYoWo65xlAgIQgAAEIAABCMxOYAGxJXekrJdaIJXyKTxMtPteyct7lNb+jGW4pSeSdZjCgAMIQAACEIAABCAwP4G3iK1KTZXqKeqkWiV5SVWamzALv4CYhV146qghvO/8QMkAAQhAAAIQgAAEPIF5xZb7Brtqn5TdnbFvY9nfa5BHj1E8iW04EBMLJzMWRr9mX0TxXTOGAAQgAAEIQAACCxGYV2wt1ARpIAABCEAAAhCAwFoJILbWujLUBQEIQAACEIDALgggtnaxjDQBAQhAAAIQgMBaCSC21roy1AUBCEAAAhCAwC4IILZ2sYw0AQEIQAACEIDAWgkgtta6MtQFAQhAAAIQgMAuCCC2drGMNAEBCEAAAhCAwFoJILbWujLUBQEIQAACEIDALgggtnaxjDQBAQhAAAIQgMBaCSC21roy1AUBCEAAAhCAwC4IILZ2sYyrbuLzej6dLh9VjR+XxmRlEw6Dd8e5YTd06vN6Pl8/C+upUxTBq4Mlc1Wp330YVvx0OtX0tayPS/85NSoHLZqtudKrc/R5PT+8xEaE7eSZZmI9lUzTD1EgcAgCiK1DLPObm2wIq8bUZEXe240+Lkm6eRs/nqyInkCL5VosUU+jnemHWuqhQSdkU4mPalwui26KqWdGlVcU8XqEIhwHEIDAEgQQW0tQPnyOjrTqTEyJqH83stta3saPp6yjFWuxXIslanXZmHtczzvF1m1E8kaTA6Yec3gU5PUIjzJwHgIQmJwAYmtypARsEKjEVbG1hXPyk57mBE10uZxP4UGj31qalqfLNTynDD/xCZUadZ9XqdYqbVIKmcsPlHwNoSE5XTzTbE769jsGvp1GzHha+7l8xHs3sTd7ztWOqU6PILhWIuBQrm/Wj33fYhzSWzHNm0vp4a9bk9BW/nGuEZR1c7HHiGYvi+i52TiOLvn6yaZ21lfv0mrG4qmlXZI28iupYeOgpJ0JXq9yJads6mJPwzW39FWncNDEq84lYQcthI/PGAIQeB8BxNb72B8qc7Ez+O3MnQjDuAmF7UQ2dNlakkbIe2ZpmTcujWQuJWI/X48lXxFEanCKIvh1dnU36TNaDjMo52xTdjElfiglj/v8k1c4651iVEvkS8r6o4kxT8ZoeRzlYMtYzjsyLo1CdIvWrscsXRM2afm9u42dk5qWZ1OhYc6ukjwKHjJ8/N1ADdvKKeoyZQv1h8DqIrIpfG/RTzpkjpQbNnNpBB2EOMVBEZgDCEBgBQQQWytYhEOU4DaDYpPzzcuJYCvboPNzpnct2y5uD6v2pma65mSowKdWzSGTrsRy+xMDrU0HPmbh4y1kLK8xj4/ZwVVY+rL8uC+CRPO22rgvspmlmPQpFJfElZPxWA4eupuBjUxF6pwOQnQJHgaqoaWMIn0xaQcaLQyEj056Jip87KxOuYGFjiNvrNU2c5mljcr8VWgOIQCB9xNAbL1/DQ5Sge4Muu/lxsMJ/YnbmJo2VNEAS+/u4frE3qY5ric1r9xuCgb+J1Ruc/4JYLYqWzPTdDrt33VWkScy3/SSk6FXHevAE0jjIkhZlY/QZ1wmSXUXSTxnLahVT5gzf3GT1xhT3OQ1TNrYRjatc2HgfzRT0FvpR/CGqEXaop+iEJe9t5IcSyux4rxLjKR1FOnFU16Lrt2kDvUBebdwZiAAgTUQQGytYRWOUUPaGXR/SE2HQ78LxrG30fFzln4bFbwaym9+feM+YwlWbLo66Qc+gs7rpA70VBj42dbYz6mjn9SxDtQsDcL8MOC5nI5xiJN+e69niy9Si4goJqUmORmP5aCwbE2agY1MLemcDiRb/Vre5JJMtVU+1mg6KJbLz8oq+jkd66DKU8xLLX5SxzoIEe4uRJWCQwhA4H0EEFvvY3+4zGGXOJ/LP5vlNrx4w6FfbA23jHmqv6UVYPtdytvU81Go+UnvafM28ufdqrYMbM5Gzt1NullXujPQoQ58j2FSdZIrajjGtJXLMzdbnRgsbPLX7p8sS4mqHF2eWo9ZhnpzwTYZtEQuwEbRMolp56SzYWBn08hYhrOCxUJ6cFpbOdCwOiicwqwE1rg6iPlTVb6AIoMZW9fNXH4yqa3ehSgScAABCLyRAGLrjfCPlzpsKLJ75+7jLhUfppyvH3mf9NuJjZ+2zButYbZYSb7kYurp6OcnQ4RYeqhTtureScvX8CrCdmP6033jjlfbMMx2aGeBkB5ePQLeY5z6ayylazwnd7h8kc4wyZBod7Xvq3fddcHCAlzzH0tLGmrQbyO6VVN+9VJmG7mt5Ktsy13TcM1K+mturYuz1sI8NB3rYMhClE1wBAEIvIsAYutd5Mn7BgI9z73eUMnmU1Zb/tb78Qrr83pp3Be93+H7cLwv830inIUABDwBxJanwXj3BJb7U+H7RrmzLd5fFmO0lrvHtfC672whFqZHOggsRgCxtRhqEq2CADe3Xl2GsL23n4O9Gvld/hNcE+/QPPtbiHddAOSFwPwEEFvzMyYDBCAAAQhAAAIHJoDYOvDi0zoEIAABCEAAAvMTQGzNz5gMEIAABCAAAQgcmABi68CLv0zr+Zsl6a8N6P+er3+rfw/pyTq6v7rfSeF+0d+CBz//1yBiHG9ZGPiY3it+FVrbKAJaqplG8itzobaippnyzR7WNZJX1a+HpndmOjdyMGGokRUMd5PlHu7hLSft9N7qFH9vzFfAGAIQMAKILWPBaF4C1ad/dTgwd/CSDVnFUR0qnBAji+td89/evsgfbApW7rxGlnnVNsWZJLyWkz0v7L41IsOyjtELrT1swPfuxw8d32ywFJPHbbYq8ST9+HG0jVjssqmNsN9lmYitXS7rKpuqPryqwzElyx7QDVVqohy7MEu/7O9/5V+i2R/wlpqCYxJvauNPLaa2OtmlisevRe+PzZe2mLU8H9yPl27y2XwvLPfDVE9xaBr7ST9+mHorBrtsaivw91gnYmuPq7rOnqoPr3QYVFH4cYJFpvxcq6MQIEmgKnIwbm5UToLl3/Z3v/SvHs6qkzZkelRXdIqGdWs26e67dSdDUZdL+PsKkYrxuOS/sR5c4qk4uKY/xeBv5qlLjqHHmldnWuAbtwVjU+pkBhHgVf5lZwumpjblH8Dm2dSIEagvhdxofsl/xr3Rr0YI/4RQtT5aSew9hZI5V5xMVd56Beh5693/uwIukhbjrxSblCWIlTR60UQXWW6tIQx6gPfE/5BnfGUizSHF+BRVKDv0aMoIsZcPmXMsZMq7Wq7oppX5f7tdQ1h2t3w5QsraswrJRk3CoR60qrJEqVa1EURm4Gb8+9T6YgSBBgHEVgMKU7MQ0M+6FD19eKVP1fDJlkZmFEbysVbXk3z1tDmpYWPKSzAVWX6QS1DVpcGKgX4KS8nF2XRg/dgnvL9hZudtZOdjd7LdmEGcLrccm0r/MlBNM8YsXUKBBieMMmTXthu65tysDWMFBi4F64uf7Sy/GnYHvs7irKvX5bWrp7ss6p5bF4sSrUVoXHXWJd9LngAAIABJREFUsJPxFjeMDGOnTVtat0zBp+tU1iTn3SpEN9d4TGtelkqraybSsy50HN4N5Y19hJjCFWUsbdSgWleW2w3TybpbjMua37o2Y35Wp50NV12IajPO3iXS8zoI0ZyBDoOBrLVlZASBNgHEVpsLs9MTKD680o4vH8B6SgchvdvhmtUUn3rpU13tikA6G0JGQ3m1JN0Z82qPQvrwU2XuK7yoSFrrnRQyYhhLkAP1CgOx1Mmi2o5LobV8rUqz8HcHTYMiaz4o5qQAeXUBneozFxvZtqhzYdDpt4jcKlLdc++dCN6gfdU9CqteRTHSazP+oF6kVInkkIWpHLg3frw0m4kKF4suEdOMNNM09pOPU0gol0rLj3N1uFC6nxPCOtfRTv5itjSD7J+qTiqJ5XUXyFIzgoAngNjyNBjPSUA/9lISf6jjMPA/9z/L5DNS3a18OWUzcZQ/oU1ZRbV1+QgfoCKaWhtrFcYOQ+q6yNacqTqpI+YrypQ25LXSBhZCDXRgG6+GV4yxvNpSz7p/KzpAyD/CwhqNo66BjysFhjn/EwoIczUnt5u6MDrMa+Vb03NusozsLaR4P9cch0n/0y00beTZJsNpeYW5rvejVVZVUboXbq1mBHhhGGIUSkUmQgQd60Di5tf7obyxj9Ach0n/0+XSdHNV9hUTIsnV8TCLibJYQMs+zN2vrq8S/dDwZBhDoEUAsdWiwtwcBPxHq/tEDan0lA4GFSAfgV2vXsEUP3o/0gOFlKM703WWGXl11XVzyxbojMKwMGxW3pqUuRhMDjSUDnz8MKlbR8fFW1YV6mGjTT0nheRtxlcgLRZz4iiFyHF8VUsdhOkkfGU39QV7Mx0XkVulq6UP5cfeoKivdaAZml5FMeJeWIqFn9SxnIyexUEzVvZT92AkXjqpgyEte+NuKCkivHrL5thPekcbe4vW2M9pMaHD81XfwoWNhfajx/bCzHv1NqiVDEhdBOTg2AQQW8de/yW7rz6b/KGNbVR82GmdutWlj/skKpxTNAxGKjfUNQ3C5+o5fnlDTnxez5fLxduHeBbAH/lx8A/H3jPHdFWahZu0oY3CZ3hSMMFFby3pbMyVkqmBDvzmZx4xpLlooc5Nh2EgBi6CQCpbNYPgJn46q0H9lqxnXSg11EHMF9TW1QliPasD36+BS4iMXS4+eElr7Qhu1g2H9O7ucqVhq01XoQ19Ihube5jTsstSZFqNdRC1VnUVWXC3HGFSmFjwfAMvN6VRfQQ19hG8gY1t1H4vF7PO2Oa1AteX3GSU6p2jG2qZYRDCaLfOyIYuUZiMsXUgIQZhKRJzAAEjgNgyFozmJWAfbTGPP/Tj9NEYnj/Ix2lZVrDNP/nTL++xMtv8GpXFCJ+rZeT4WSyxxDBOVnnSOX+miiTOaVfreFvproDuZEHDQp2v1+ZvI4bfOCvEh4/4IcItT0qb2oSrROf6umoYxFov+fFjK5abs7pED0Vv/Y253IjsjlJqJRFkWn1z75F272/whbPBs/aSaI+uOjtfwFEid9v0Fap7XyVhPvzYcttVJcvcBS5edm1rfB2Id+ScHbR/S3InlBlZSy9QbVdWLFK3mFCDe+ifDyMyZVvUOczeEsnFKR8rGZEZyFr78mNNcqJOzzEEbrcbYovLAAIQGE2g3HBGh6kcx0dtPhCqom/6cDyaTbdN8RDYOgHE1tZXkPoh8EYCs+z9zwUN1nJPIdxpatyseSOgqVM/x2bq7MSDAARGEkBsjQSHGwQgUDzxmQRH0BIPngN382Sn9PDts3t+TzOIrT2tJr0ciABi60CLTasQgAAEIAABCCxPALG1PHMyQgACEIAABCBwIAKIrQMtNq1CAAIQgAAEILA8AcTW8szJCAEIQAACEIDAgQggtg602LQKAQhAAAIQgMDyBBBbyzMnIwQgAAEIQAACByKA2DrQYtMqBCAAAQhAAALLE0BsLc+cjBCAAAQgAAEIHIgAYutAi02rEIAABCAAAQgsTwCxtTxzMkIAAhCAAAQgcCACiK0DLTatQgACEIAABCCwPAHE1vLMyQgBCEAAAhCAwIEIILYOtNi0CgEIQAACEIDA8gQQW8szJyMEIAABCEAAAgcigNg60GLTKgQgAAEIQAACyxNAbC3PnIwQgAAEIAABCByIAGLrQItNqxCAAAQgAAEILE8AsbU8czJCAAIQgAAEIHAgAoitAy02rUIAAhCAAAQgsDwBxNbyzMkIAQhAAAIQgMCBCCC2DrTYtAoBCEAAAhCAwPIEEFvLMycjBCAAAQhAAAIHIjBObH1cTtXP+fq5GLWYfcmEi3VGIghAAAIQgAAEdkfgBbF1+RAaC6ufhdNJl7xCAAIQgAAEIACB5wlMIrZuy8qfZbM9zxQPCEAAAhCAAAQgoATmEFtRDKXHjPqw7/N6Pp1Ol2t8CecuH2Zm98iSWX5Eqc5JXZ1DhNPlw0m7FCK6O0/10y4ZQAACEIAABCAAgTcRmERsJTGUvrXVM85ayOuipImyCouPJKNvVl6dOCfVUHIqulZRfLg3ISUtBCAAAQhAAAIQMAIviK18/ym+dIRQymByqBBBopaCUXEieqWZFD0pL29/u+U7W5fLOd7n8j5ZqKXk/C8EIAABCEAAAhB4P4EXxJa/SyUqxwslFWPhZKGpvHjyJ+L8Kd3CSuMU19uL2MrRJXFOUM++HzAVQAACEIAABCBwbAKvii2RUfKQr9JFCtdrKvelK3GPmin6inrygfxYxVb+0pfeU8upom34Zhc/EIAABCAAAQhAYAUEXhdbopeywPHCyCksN5TngOk7Xu6E00lpVh4T+pgitqLI0hPmGj1rBbYC0JQAAQhAAAIQgMAxCUwhtrJ6EmmUblxVD/ScpuoVWxon+KZfXEyqSTVVWiN3aGFFnp3yY8hjLiddQwACEIAABCCwNgLjxNbauqAeCEAAAhCAAAQgsFICiK2VLgxlQQACEIAABCCwDwKIrX2sI11AAAIQgAAEILBSAoitlS4MZUEAAhCAAAQgsA8CiK19rCNdQAACEIAABCCwUgKIrZUuDGVBAAIQgAAEILAPAoitfawjXUAAAhCAAAQgsFICiK2VLgxlQQACEIAABCCwDwKIrX2sI11AAAIQgAAEILBSAoitlS4MZUEAAhCAAAQgsA8CiK19rCNdQAACEIAABCCwUgKIrZUuDGVBAAIQgAAEILAPAoitfawjXUAAAhCAAAQgsFICiK2VLgxlQQACEIAABCCwDwKIrX2sI11AAAIQgAAEILBSAoitlS4MZUEAAhCAAAQgsA8CiK19rCNdQAACEIAABCCwUgKIrZUuDGVBAAIQgAAEILAPAoitfawjXUAAAhCAAAQgsFICz4utz+v51P05X//2ej5dPlbapisr1L+FOl3JI4eu049LXLLz9fOJWB+X0z2HHDMEXoynlORaG9rQCJehobdv9wScF5bAc3oio3eT8YvuEsa/jnqPuAATljRhKFdgOWzmaE6WfgOPpotUJpwrbpll3JG8NcZ5F16tUJO0PkkQK1XqnDDshKGszlWMnhdbWnYFpTpUs/uDcV73Y75ydm31vNKL+cpbwmaGjO573T87JP4ImxeSrnBlJy9p8oCNJVrHEkzf6ai+fBl+3OC2tqmJyn09zHMRnrNeFvqoS6hd4oShygTD+Q2ynKjOQbnKRjZ4hNgqF22Xqz6yqbtvpJExS9pPH90t6X609xR8t6bJS5o8YKP8dSzB5J2OC+i9/LjBbW1TE5X7epjnIjxnvSz0F94adaEThipDD+c3yHKiOgflKhvZ4NHUYkueLbkHSzLVeNikp87XT8c7DMVaVzNO9j8M+7yez9drelqmzrdb10vzxMFVHorGB2a+nriYOtF6oBZOuj418L2kt1SSc9OLppGrp6mbmro41qkUlQpy89UTPytYa7jdXOyLe4xYZnQxL4FgLCOGK3mmuKWvz1Wd73sgaQGkJF+6nrU1anFru7gV9E3Z43CNrqjLPi8fttxq4iDmSKVT+2JLNHydMXSM2i3DX9tpAdRGHv5aR27mfLmE7wFYrSGtJm3UGcvS2JfWElgiF1ddcjY9jsU8zKgx7QpLgOL/JncJac2oV74YNE3GlS31UyWFNK9Yv4S190u4oLrc1M51JHNWUvdicH2EoWbXTlPVrna3QpJASUez1vvOpdEUxXvkFBaz+Ej1KTuJfKn5AlIbucA0ZzOSZVe7ToRGqWosV2pddvGxZe9d84vVKKPme7bK6+u3t4dW21xeeWtY3jhSJ33bleUYO7XUd5kPpSX1uWdjtWtd8+mkJLI2ZEaueT226qwWPal1as76nWKmti7BOP/EAtTGvY9SMrOUMmIiXUmZtdLWPJpWbMlneKCX1lEXIV6wXTZ23q7o28flfD4n27htfiYJkK8MC+7BpmVJJsEiujtTHWrG6JEr6p4Nsd1HshtaVg0VpvRAY7mq9aQ3tEB9uWKJmWQIG6u1WGFUN+AKUcPuoCjY12HFB6ccXf3dIupcMeiWo6edr08YtyK3srkfZ9IqyaK6hbFhOC1XoHArXGSnkpNuqRxAW1NffAzusDtIadYyhZHNdeCYoWvXJQ3D4G52FtBz0/M6CPGMmw2DgfTezBkNXHP2hkojO2+5XKLmpEK2sw6yRfQlW8x4vlOznzVbG2nLlrPxqeIQeDtFVFTeqaF6L7dLsrhhlMm6vFpoQpJSZyfzvXclBCsJ7AC4HG7Whk03zaiDePF1Lgi7JM3QJSzI2Nsy9NolUESw+hwYHzlYSxA1thBh1E0Ry5X54JXHZq2h9CK0mPfguyqDg+RwFVeRY3He1M7byJ+3UFqRP21ODcPGThp986VsvjaKDWmR+YPZQoeRGVshZW3iprPPXEXmZIksp6X0hZQFrvVoWrEll7ny0kFeJDFQHN7AhNX5+nE9hxWT0/Ia/R6/ZbN500snw0DqKSblUrEV1nKrgbpZpVpyUaozLA00oLuwdK40zTF8qFBhbEFezdV/3pmLjcrY4lfEkQPnFC/wmFEni8FDnmIgCctXyehnizk50KTtNbLThqGY0wQSUF71RBgULmrhZ1tjP6cLFCaldzXQQZHV0na0lhPlWo739QH9uFlG0zF4deoscsmBxpcJH68ci4W6eLaDMnaETtPLx/ctx4Y+Lp1PFV9l4asnfOWCRU/6LvJYbDSaDoKXRPMRijn5EBAveQ2XRAitxz5amOzk9SmaXp1YEbGYymsMIyXKq49dhnFnLII05U4WQ7Pse8d5c28dgIay6zmhYX7eojX2c7JMOncPfsGkOLDkNhKDEFqK1DRyMpoXBzmAWjbdLUvEGMM3rvmHvtJ+SdVFL0qTg8e1iaW8uojluheh/F4cW3pcfxF4VQfTii1BU/CSO4bhVa4wZaCWYSatw2fUWR+X8DZK/ytnslfhI5HKyRSpWFcxkNfiYmpO5pL8DU/JJq/eL/d2P2n1AS1x4mv46Eg/HY5yPj9uFbvwGtKGMjporUGt0l3VomyLCso40kmY9T8xk8bsDnyPTd8iZ6pJ49dthAA250sSSOEiyT8ypTVV3Px58XkAUM306vXBW+Mw539KXDUcKckzsU939a0DhiSGRZx9OYIqnpMT8ioO8qrzOnB1hjnLJXHFsjwrAbO7lq2NSL/ibldpb0Y1rYJ3Qklp0U690mzrU8XF65TRX/k9r05JoQr/YxxTmHDe5qRmeQ1VhbPyZm1GU2MH0Neou2ecVGsdhGk58K912eGclSoZxEOO5bWY775DxczlDlPtFXTGWmmcy0nCi/+5X6WvTMbNvAPgB3/LVkSxoovyorWkDTYyfhxKLNXFu1u6MOq/5jWISy1xlGGnSBe9XaeG1UGOrzGHbVW+qgKnxJVXqVneca7C1Q4XEFt3cXh28RoJ31uIax1U+TUqLr8AAWSxCEK2CJQPijnx0kkd+Ph+UkLnnJ3/dx3PJzkon4Y+VHbrXLh9KTRd/v9rdazs13SX5jRGGKilDnJJ6f8MxsIKhwqtBC3cxUEnu4Pe1OLrX4O7ViIZvUExJweatLLMa1Sczgc6FwadjBLYxzOAvbMa1PXs59TRT+pYB2omg/x/SVOZTbOHBRdeYl1MSjJXe9GyGot3dJCD9lmJGc52IKvL0xk7772HodynRHiLNj9VpNjwqgEfVt708hH8WMN6Lz8WnHFO3vnO6/GV4IytC5/CGxiW5qxMyqsPY65+tmnpCXhj6c/PFTUX0Qo04tKyKObEsHj1Fq2xn3N9PoZf1Fgc5Pwh8rA3QuFdHLhQcTP11fqxa7n3mvf2Og6Du0W6yA6P24uLULLj62Svu5zwljrWQbASIH7SjyXSml9nFlv+ndREEyZ1mQPS4tta8s2tyFo+cJvv2JhIIqmFDlwALUMH/qPB1+PHLlK1nP6yjqecqQ1tFKJKKxaqnSvaZjwaIUzmy9mGejZtG9FHz+pA6tO9xwrII4sTnDJQ56/DOwPP8+EFYAnD+0ky+rrMwkoqssv10zK0hVcXM/MZ3WywTDHVx23GvqP2uOXl5szJEvl+4ziUI5ezOfgyWgUXAZ2BDn0ZPqfO66BYRPWPpaS6zNLOxtMRnZsLQ3ORxVJ3HdzLKBe81vzIKy6tfOj3fqpoOAe2t3KJ5pys36J4F629dj6E5Qs9Fd/ZimaGr8yhBHRQnnc5LIXDErPZZZ4Iaywd+F5cnHA+OuvA5QtDDeANXAAz9wauPj804xg3vzGCY1W2y+t8ylmtzFfpKnPDWEPOVgSxGGYdy5HLW7PbeRfM3H1UM22HUi8d+A40Yxr0XfNNX8tcFdlpJwQ3a6tTw+ogWLoDG5p7PN+5ipqW6mRni/BV9+s8nFts5bWJNxObKxfg6ZeZ01spf6oFvs4lG8oHd40zLkL3t1S6XtEw/GaEDopxdnA1pBuhrpIqdaiz3Ay6SVO2TEHv15WBYpwSVCyx21R6RwRTV5UllWKid92pLEhr64j1SJx4X1Hja3Ey0w2uMwVPyVdVa61LvtDMh+lIMzB2VpLPpaUZjXi64mYuPRltWgCGGjS6NN5z3ZTXU8fLsnvDnLK1FumOqVLoBMyQ4/Vil18Z0DqS4n0ZGtuvlzeox2kJr/lrgq2z7o0QTqcft6x5MvSr7jrwZfju9DeemgX3ednFkK8f944WGu2Arcp9kd4rfWB1FVJh31o7H0QTaqe1u79AOtG8sR83UxiWaFq9R2xVmld+JpmWVWoKcdy6S1ZfiZZs2cUsvJYR8lH54WbmMW5ddk+1lVf+dThfmRu38z7xNrRPJ8tr3cV+5PPNpS2QSw3tUOqlg+ri93ljqMY13/aN1nFd2+9WH9n1ZHVqWB1kF11796azbPpJm6dCwT6CWYp7fdZaFIuq1hUdviC2VtTFnYtu/ir98k+cbZ7Q80SduPWXwu2/w5fwbMxZniBsrOwR5b69U944I1YNFwgMIoDYGoTpjtGcn0+zxJ4l6B1Abzh1gBbfQHXBlGEB5f+phv9vLLdRFixhoVTr6vTtam8h6qSBwPIEEFsvMA8flI076C9ErFynFg2zF1zV/67Dqbm9q48D582Xanh/ieraKY2VdJrL2DnsnV5DtLUFArsRW1uATY0QgAAEIAABCByPAGLreGtOxxCAAAQgAAEILEgAsbUgbFJBAAIQgAAEIHA8Aoit4605HUMAAhCAAAQgsCABxNaCsEkFAQhAAAIQgMDxCCC2jrfmdAwBCEAAAhCAwIIEEFsLwiYVBCAAAQhAAALHI4DYOt6a0zEEIAABCEAAAgsSQGwtCJtUEIAABCAAAQgcjwBi63hrTscQgAAEIAABCCxIALG1IGxSQQACEIAABCBwPAKIreOtOR1DAAIQgAAEILAgAcTWgrBJBQEIQAACEIDA8Qggto635nQMAQhAAAIQgMCCBBBbC8ImFQQgAAEIQAACxyOA2DremtMxBCAAAQhAAAILEkBsLQibVBCAAAQgAAEIHI8AYut4a07HEIAABCAAAQgsSACxtSBsUkEAAhCAAAQgcDwCiK3jrTkdQwACEIAABCCwIAHE1oKwSQUBCEAAAhCAwPEIILaOt+Z0DAEIQAACEIDAggQQWwvCJhUEIAABCEAAAscjgNg63prTMQQgAAEIQAACCxJAbC0Im1QQgAAEIAABCByPAGLreGtOxxCAAAQgAAEILEgAsbUgbFJBAAIQgAAEIHA8Aoit4605HUMAAhCAAAQgsCABxNaCsEkFAQhAAAIQgMDxCCC2jrfmdAwBCEAAAhCAwIIEEFsLwiYVBCAAAQhAAALHI4DYOt6a0zEEIAABCEAAAgsSQGwtCJtUEIAABCAAAQgcjwBi63hrTscQgAAEIAABCCxIALG1IGxSQQACEIAABCBwPAKIreOtOR1DAAIQgAAEILAgAcTWgrBJBQEIQAACEIDA8Qggto635nQMAQhAAAIQgMCCBBBbC8ImFQQgAAEIQAACxyOA2DremtMxBCAAAQhAAAILEkBsLQibVBCAAAQgAAEIHI8AYut4a07HEIAABCAAAQgsSACxtSBsUkEAAhCAAAQgcDwCiK3jrTkdQwACEIAABCCwIAHE1oKwSQUBCEAAAhCAwPEIILaOt+Z0DAEIQAACEIDAggQQWwvCJhUEIAABCEAAAscjsDqxdZr553hL/J6OZ17G03u6IisEIAABCEDgeQJrFFvPdzHU43Rikx7K6kW7WVHPGvzFxnGHAAQgAAEIVAQQWxUQDqchMKsemjX4NP0TBQIQgAAEICAEEFtCgtdJCcyqh2YNPikGgkEAAhCAAARuiC0uglkIzKqHZg0+Cw6CQgACEIDAgQkgtg68+HO2PqsemjX4nFSIDQEIQAACRySA2Driqi/Q86x6aNbgC8AhBQQgAAEIHIoAYutQy71cs7PqoVmDL8eITBCAAAQgcAwCiK1jrPPiXc6qh2YNvjgqEkIAAhCAwM4JILZ2vsDvam9WPTRr8HcRIy8EIAABCOyVAGJrryv75r5m1UOzBn8zONJDAAIQgMDuCCC2drek62hoVj00a/B18KMKCEAAAhDYDwHE1n7WclWdzKqHZg2+KowUAwEIQAACOyCA2NrBIq6xhVn10KzB10iTmiAAAQhAYMsEEFtbXr0V1z6rHpo1+IqhUhoEIAABCGySAGJrk8u2/qJn1UOzBl8/WyqEAAQgAIFtEUBsbWu9NlPtrHpo1uCbQUyhEIAABCCwEQKIrY0s1NbKnFUPzRp8a6SpFwIQgAAE1k4AsbX2FdpofbPqoVmDbxQ4ZUMAAhCAwGoJILZWuzTbLmxWPTRr8G1zp3oIQAACEFgfAcTW+tZkFxXNqodmDb4L/DQBAQhAAAIrIoDYWtFi7KmUWfXQrMH3tAr0AgEIQAACayCA2FrDKuywhln10KzBd7gYtAQBCEAAAm8lgNh6K/79Jp9VD80afL9rQmcQgAAEIPAeAoit93DffdZZ9dCswXe/NDQIAQhAAAILE0BsLQz8KOlm1UOzBj/KCtEnBCAAAQgsRQCxtRTpg+WZVQ/NGvxgC0W7EIAABCAwOwHE1uyIj5lgVj00a/BjrhddQwACEIDAfAQQW/OxPXTkWfXQrMEPvWw0DwEIQAACMxBAbM0AlZC326x6aNbgrB4EIAABCEBgWgJrFFunOX+mxUe0PgJzrmGI3ZeXeQhAAAIQgMDaCKxObK0NEPVAAAIQgAAEIACBVwggtl6hhy8EIAABCEAAAhB4QACx9QAQpyEAAQhAAAIQgMArBBBbr9DDFwIQgAAEIAABCDwggNh6AIjTEIAABCAAAQhA4BUCiK1X6OELAQhAAAIQgAAEHhBAbD0AxGkIQAACEIAABCDwCgHE1iv08IUABCAAAQhAAAIPCCwrtk6nm//vQW2chgAEIAABCEAAApsnsIjYUoFV4eqbr8w4hAAEIAABCEAAApslMLPYSnLqIZ2BZg/jYAABCEAAAhCAAARWRmBOsfXsP2D3rP3KUFIOBCAAAQhAAAIQ6BKYTWyNU07jvLptMQMBCEAAAhCAAATWQWAesfWKZnrFdx1MqQICEIAABCAAAQgoAcSWomAAAQhAAAIQgAAEpicwg9h6/dbU6xGmB0VECEAAAhCAAAQgMIYAYmsMNXwgAAEIQAACEIDAQAKIrYGgMIMABCAAAQhAAAJjCEwttqZ6AjhVnDFM8IEABCAAAQhAAAKTEUBsTYaSQBCAAAQgAAEIQKBLALHVZcIMBCAAAQhAAAIQmIwAYmsylASCAAQgAAEIQAACXQKIrS4TZiAAAQhAAAIQgMBkBKYWW7fb7fXvtr8eYTI+BIIABCAAAQhAAAIvEUBsvYQP5z0TOJ3C/3PQ//bcKr1BAAIQgMCMBBBbM8Il9CYJ9KmrvvlNNknREIAABCCwHIEZxNaLTxJ5hrjc6pOpJJDkVDnXOBpo1vBkCgIQgAAEjkgAsXXEVafnBoFnVf6z9o2UTEEAAhCAwCEIzCO2Rt/cYgM7xFW3vibHXXjjvNbXPRVBAAIQgMCsBGYTWyP0FlvXrEtN8D4Cr1x4r/j21cM8BCAAAQjsi8CcYivprSG7EV+C2ddVtbFuhlyifS294tsXk3kIQAACENgXgZnFVoLV92tcffP7Qkw3qybwulp6PcKqAVEcBCAAAQi8SmARsaVFqrriVpYyYfBeAq9LpdcjvJcA2SEAAQhAYGYCy4qtmZshPASeJvC6VHo9wtNF4wABCEAAAlsigNja0mpR68QEptJJU8WZuD3CQQACEIDAKgggtlaxDBTxHgJTiaSp4ryHAlkhAAEIQGBeAoitefkSfdUEphJJU8VZNSyKgwAEIACBkQQQWyPB4bYHAlOJpKni7IEpPUAAAhCAQE0AsVUT4fhABKYSSVPFORB6WoUABCBwIAKIrQMtNq02CLyuk16P0CiLKQhAAAIQ2A8BxNZ+1pJOxhB4XSq9HmFM3fhAAAIQgMBmCCC2NrNUFDoLgdel0uuhEUVfAAAOZ0lEQVQRZmmMoBCAAAQgsBYCiK21rAR1vI3AK2rpFd+3NUxiCEAAAhBYlABia1HcJFsjgVcE0yu+a2RBTRCAAAQgMD0BxNb0TIm4PQLjNNM4r+3RoWIIQAACEHiJAGLrJXw474fAs8rpWfv9kKITCEAAAhB4jgBi6zleWO+ZwOl0GyKhBprtmRS9QQACEIDAEwSWFlt/8Rd/8UR1mEJgeQJJS3VVV9/88hWSEQIQgAAENkUAsbWp5aLYJQmouuJW1pLYyQUBCEBgdwSWE1t/Uf7sjiQNQQACEIAABCAAgQaB5cRWSq6PEUvpxbPFxtowBQEIQAACEIDADgi8TWxV7NBeFRAOIQABCEAAAhDYB4GlxdZAal57DXTBDAIQgAAEIAABCKyQwErFliflhZc+hfQGjCEAAQhAAAIQgMBqCcwrtubQRmiv1V5MFAYBCEAAAhCAQJfAXGJLJVE35bQzmigNpg1ONAhAAAIQgAAEIPAigbnEViprjjtb9xtGe93nw1kIQAACEIAABBYmsDexVeHz2qs6xSEEIAABCEAAAhBYgMDOxZYn6IXX8rfcfCWMIQABCEAAAhA4DoEDia1qUdFeFRAOIQABCEAAAhCYg8BxxVZFE+1VAeEQAhCAAAQgAIFJCCC22hgr7ZUO26bMQgACEIAABCAAgX4CiK1+Np0zlQLrnGcCAhCAAAQgAAEI1ATmFVt1tn0dV9rLf+nej/fVNN1AAAIQgAAEIPAcAcTWc7zuW3v5dd+SsxCAAAQgAAEIHIQAYmvihfZ6i/tbE8MlHAQgAAEIQGCDBBBbsywaMmsWrASFAAQgAAEIbJAAYmuWRUNszYKVoBCAAAQgAIENEkBsbXDRKBkCEIAABCAAge0QQGy9tFb6Da2XouAMAQhAAAIQgMB+CSC2xq+tf1box+Mj4gkBCEAAAhCAwO4IILamWVLE1jQciQIBCEAAAhDYHQHE1jRLitiahiNRIAABCEAAArsjgNiaYElRWhNAJAQEIAABCEBgpwQQW68uLErrVYL4QwACEIAABHZNALH10vKitF7ChzMEIAABCEDgAAQQW+MXGaU1nh2eEIAABCAAgcMQQGyNX2r9I1tpMD4QnhCAAAQgAAEI7JcAYmu/a0tnEIAABCAAAQisgABiawWLQAkQgAAEIAABCOyXAGJrv2tLZxCAAAQgAAEIrIAAYmsFi0AJEIAABCAAAQjslwBia79rS2cQgAAEIAABCKyAAGJrBYtACRCAAAQgAAEI7JcAYmu/a0tnEIAABCAAAQisgABiawWLQAkQgAAEIAABCOyXAGJrv2tLZxCAAAQgAAEIrIAAYmsFi0AJEIAABCAAAQjslwBia79rS2cQgAAEIAABCKyAAGJrBYtACRCAAAQgAAEI7JcAYmu/a0tnEIAABCAAAQisgABiawWLQAkQgAAEIAABCOyXAGJrv2tLZxCAAAQgAAEIrIAAYmsFi0AJEIAABCAAAQjslwBia79rS2cQgAAEIAABCKyAAGJrBYtACRCAAAQgAAEI7JcAYmu/a0tnEIAABCAAAQisgABiawWLQAkQgAAEIAABCOyXAGJrv2tLZxCAAAQgAAEIrIAAYmsFi0AJEIAABCAAAQjslwBia79rS2cQgAAEIAABCKyAAGJrBYtACRCAAAQgAAEI7JcAYmu/a0tnEIAABCAAAQisgABiawWLQAkQgAAEIAABCOyXwGix9XE56c/5+mmEPi6ny4cdzjT6vJ6LrJJmVPaPyzMVuxTq2FeOlLWp17i0FZHP6/l0ahIf29pwZH2WbiGGF6FLNtwFSwhAAAIQgMBLBEaJrbjz2m4cDifdhwd0NGqjbcf9uIys3jlOWE67yAVng7Y5V1I2SWtb8tfLCRfNwHgTwnVL9noLRIAABCAAAQgMIjBCbIWNt9omn9g5B1X10Ojzeq5KeOjSZzC6dufYd++lL+eq54O2uVy8ek7ya6Qk7el1uOxZw1r3NME0BCAAAQhAYACB58XW/V0y34UobkbogT16VKUUzwXZEn50tijcvEwAfFzO16s8yPTTGsO8fFSbTYaSucptOio4pAC579xM6RgnJbaVU7SxlYMoHD+8mA3dXfVGlLSpTxUzkdSfHpiZ46+TLl7BRQ2cspt5rYv8HEAAAhCAAASmJ/C02LqvteQWj7zebjcZhn0065CgVNIwaRYdd3WK87qFsQofGd7ctKSKU+1csvNrCWEgk4pXJz8u53O6h5b71hShL3EMQ6nHDDTatgZJLgWFk76IFxv6yCvWWg7XsQydWWCTQrnJMJSLweg4A7eo0VZWKByksaR6ea0tPyMIQAACEIDALASeFVtOYiSZI9+ST1ugv7FRzNieG9sQOy/dZM71WWSL+eK+rRttMtUgOUI7l+3TLkGMKTu5m8+RPi7hFkw4L8+yrEgbhf1eY2gxLtqWhrl+bSkN0mzPclS2UYaKVLsJ4XJRGovRE3z+td7S6lArBCAAAQhskcBLYis3bPuo7Yx5A9aJeH9ChJk+MxQJEwKpqcNYKRc5tNsu0VamJUIzV7WXSxLxleP8mkKF31xLIylUUpjwqyo3gyriRg4FU+7DXoKcrGDJ4aC1FuPEoTyKc9WUHM6/1htZGcqEAAQgAIHNEnhWbNUbbmjcblPoPY4snezYRg5VoUxaFuWc7b/FIyiZ1htMpVfOp1bxWI5EW7ii4jBWdo1/ESJ9ZSjfqdHQzvFhF3XwNR8LmFsUOaIx86x2HztQ0wTATtrIdVpM2hVjFoWBXmaaJBnqoVjLq8VJF2R5Z03uh9oNyMKeAwhAAAIQgMCcBJ4WW/Ehkdu0guqQ79/I3hwKDtti/rpTOAxmsgGGrTaO/U5ZSBbpuOkVM0qseJCe4Wn2ppdu37U6lEiSM736L2vZH0LQFFU0fYjY7KKMvOqjgM5oyu8kymwb7LC1dr7xzmMHuzMIdNMVEib1uokHVl38Y25Nr2p1ckcq1Fa9AhQHAQhAAAL7I/C82MrKyR4J6rZZKA2/CyZscY/VJ4hDH791vNI9F51uZ9fTThbGLTyVreIo2WkMW99wIlmFUTZwDZqjm2w+CrWYGxiZIHHKptYuFcNSSfestb9q+n4VsbFA8f5aYq2SvrpyGl5ZT1d12pJtYCEoEQIQgAAEdkRglNhaZf/+NtkqC6SoyQiw1pOhJBAEIAABCMxPYDdiy99gmh8bGd5JgLV+J31yQwACEIDAswR2IbbSAyJ9NvgsA+w3RIC13tBiUSoEIAABCEQCuxBbrCUEIAABCEAAAhBYKwHE1lpXhrogAAEIQAACENgFAcTWLpaRJiAAAQhAAAIQWCuBcWIr/Gn1xTp69KtnTxTzKJT1pN/BHu5izrcnStJEzp0hBCAAAQhAAAL7ITBGbNkfY1oBh3mKCX9larSefKaklxKtAD8lQAACEIAABCDwgMAIsbUqfTBTMc/opZrwUyW9kqhOzDEEIAABCEAAAisk8KzYCkoi/2XuX/XuT/h1fP1z6+mvraff0A+WjT/PHv+Bl/h3xGMou4XU8NLHeHEg6ZOLHLnsubhm1nuhwtJodvsT5+riT0u61lx/SdZlK9EKLw1KggAEIAABCEBgCgLPiq30b7NE4RB0RRz4f0cwqpygWkRjhbHTGanmKEmSRRiaPut46VeakopRn2yoNSThI+5RztRZ74dyNUfRFUOVLhJQSq6S5zbdrIspPknS5Tot0RRLSQwIQAACEIAABNZI4HmxZTd78ujjEu4EBSWS/p1mpzZCx60HZRYjGVw+4r9ULWrGeamlD6OTIbg5Re3ijiveatsIZVool5zCiEuIbHkk7ufnpwxdl+JT/NvbRZsqCZuaUEMygAAEIAABCEBgDwSeFltOqaT7PuE379IoaS2nOyIg5yDAsmE6zNqsMsuH/taSqh2drFOFgCHcqSmNruekcnx2CVVmlyM5W8lHaSOJO3lwmdWY+Lqnkt7CToco5ZHE5RUCEIAABCAAgR0ReFZsed0Rtcg1/hWIj8v5er0kMaO3diKmlp7wFiFg8PNzpkJkVmSPhEzCyxVTphE3v1Ay1wwlJyV+58aW3Y0ShVRk1IOyJNWHWkg7kZ5mAAEIQAACEIDA3gg8K7ZUVQQQ/sta53O+cVQ8Pgs3f5xOSfTiHaGsQ/QBnYiuFDd76U0or1FMLbligrs+6dOgbrXuh3LZY3WxZnURfSW1xdpdcteQm3UxQ4DEwU1aIlcmQwhAAAIQgAAEdkZghNiy3zAMciGJJhUTCU/UEfHpWffeThBj4TZYfrjmDDpeKqt0kJ4TinxLDuVRDCtTtlgaQQdlKHn8eDrpryJ6y6iWUsVacNR3Kd3lIn+Wq68k9WoksioZQQACEIAABCCwOwLPiq0JAPi7VBOEIwQEIAABCEAAAhBYMYHlxVZxw2jFZCgNAhCAAAQgAAEITEBgebHFja0Jlo0QEIAABCAAAQhshcDyYmsrZKgTAhCAAAQgAAEITEAAsTUBREJAAAIQgAAEIACBPgKIrT4yzEMAAhCAAAQgAIEJCCC2JoBICAhAAAIQgAAEINBHALHVR4Z5CEAAAhCAAAQgMAEBxNYEEAkBAQhAAAIQgAAE+gggtvrIMA8BCEAAAhCAAAQmIIDYmgAiISAAAQhAAAIQgEAfAcRWHxnmIQABCEAAAhCAwAQEEFsTQCQEBCAAAQhAAAIQ6COA2OojwzwEIAABCEAAAhCYgABiawKIhIAABCAAAQhAAAJ9BBBbfWSYhwAEIAABCEAAAhMQQGxNAJEQEIAABCAAAQhAoI8AYquPDPMQgAAEIAABCEBgAgKIrQkgEgICEIAABCAAAQj0EUBs9ZFhHgIQgAAEIAABCExAALE1AURCQAACEIAABCAAgT4CiK0+MsxDAAIQgAAEIACBCQggtiaASAgIQAACEIAABCDQR+D/B+V/qBUEbA1rAAAAAElFTkSuQmCC
要看选择集SS的图元数量。:lol 用move命令移动数量5000的选择集ss有点卡。 wide 发表于 2024-12-17 13:35
用move命令移动数量5000的选择集ss有点卡。
如果做成块，再移动呢，最后再炸开，会不会好一点，没测试。 ;; 用VLA-Move移动选集
;; 和comand相比各有优势，command的优势是代码简单，适合于次数少的操作。
;; 用Vla-Move、或者使用矩阵变换，优势是适合多次操作而不易卡顿，且对块内对象操作有效。
(defun C:M1 (/ SS P1 P2 N)
(if (and (setq SS (ssget))
(setq P1 (getpoint "\n指定基点: "))
(setq P2 (getpoint P1 "\n指定第二点: "))
)
(repeat (setq N (sslength SS))
(vlax-Invoke
(vlax-ename->vla-object (ssname SS (setq N (1- N))))
'Move
P1
P2
)
)
)
(princ)
) 谢谢各位大佬的解答。 一同学习，感谢大神指点
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